Main Image: NBA / Theia

By Joe Lemire

The SBJ Tech Sandbox series is where we share our experiences testing products, gear, solutions and more in the sports tech space.

I first dunked a basketball during a JV game on my 16^th birthday. Following a steal and a breakaway, I rather gently placed the ball through the rim, but the varsity team happened to be watching, earning me what was some scarce social currency at that point in my life.

Over the next few years, as I got stronger, my vertical inched up further, and I could dunk with a little bit of style — no one was inviting me to dunk contests or narrating my And1 mix tape, but it was still an epic feeling.

You certainly wouldn’t know it now.

The NBA recently invited me to participate in the same quarterly biomechanics screening that all its athletes started doing this season — the first league-wide program in pro sports. It’s a series of jumps and lateral moves, with some closed-eye, one-legged balancing mixed in.

The video may double as my audition for Blue Man Group — the cyan skeleton is part of the Theia software processing to evaluate joint angles and motion. But it also shows my diminished explosiveness as I move along the aging curve.

Each task has been carefully selected by a collaborative group of NBA and NBPA movement experts to gain insight into individual athlete movement patterns and hopefully build normative standards that can be used to help prevent injuries and improve performance.

One note the league makes clear is that biomechanics usually can’t answer questions in isolation — rather, it’s a notable piece of a larger performance puzzle.

“Biomechanics tells you how someone is moving, but it doesn’t tell you why,” said Courtney Chaaban, NBA Sr Manager of biomechanics and engineering. “So I really like to look at it alongside of lots of other information: how strong they are, what their range of motion is, how they’re moving on the court, what their demand is on the court, what their injury history might be.”

I’ve detailed my injury history in these Sandbox stories before — broken bones in my feet, sprains of muscles and ligaments, etc. — and I’ll share that my knees were oddly sore the day of my evaluation. (Of course I have an excuse ready… )

My single-leg jumps were paltry, just 3.7 inches for my left and 3 inches for my right. My two-legged jumps were a bit better. The countermovement jump (CMJ) — in which I started on the force plates, bent down and then leapt straight up — was 11.8 inches, good for 56^th percentile in the sample of non-NBA players. My drop vertical jump, in which I step down onto the force plates and immediately spring up, was 13.2 inches, at the 49^th percentile.

I was hoping for better. Image: NBA

There were diagrams showing how much I use my ankles, knees and hips to absorb forces as I jump or land. Of particular note was my landing strategy: I know my hip flexors are weak due to a previous Springbok Analytics scan, and my knees were achy that day, so it’s little surprise that my ankles worked overtime to mitigate force.

“It’s not to say it’s good or bad,” Chaaban explained. “Maybe that’s just how you move.”

I didn’t skip all of leg day, just the hip and knee lifts. Image: NBA

While recently chatting with Warriors superstar Stephen Curry about a different topic, we started talking about his recovery routine and the notion of career longevity, when I volunteered that I underwent the NBA’s biomechanics protocol.

“You did all the testing?” Curry asked with a bemused smile. I shared the verdict of my data, which is that I’m very much a suburban dad these days. He laughed and then added, “There’s a lot more data available, but the real art is to figure out how to make that useful, right?”

My testing was done at the Nets’ first-rate facility in Brooklyn, but the experience is intentionally universal and would have been the same in Oklahoma City or Sacramento, too. All the same tech vendors are involved: Qualisys motion capture cameras, Bertec force plates, Theia biomechanics software and Breakaway Data for player and team access to the data.

My primary differential: I received a pdf report (rather than the Breakaway Data dashboard) that largely mirrored what the players get but had a few alterations, mostly because I had no historical data from other assessments. My datapoints were compared not to other NBA players but to a handful of team and league staff who underwent the tests.

The reports convey what each metric represents, which is helpful, such as noting that deceleration during the CMJ is “similar to stopping when coming around a screen.”

That CMJ deceleration was my highest asymmetry: my right side produced 20.5% more force than my left. Asymmetry is generally thought to be a problem and a possible injury risk, but there also need to be some allowances for individuals having their own movement signature.

What Curry also told me about applying such high-tech evaluations is the need to surround himself with “as many experts as possible to understand what the data means and then figure out what that is going to do to impact my routine.”

So, kind readers with advanced degrees and extensive pro sports experience, I ask: Who’s going to help me dunk again?

This article was brought to you by SBJ Tech, a Leaders Group company. As a Leaders Performance Institute member, you are able to enjoy exclusive access to SBJ Tech content in the field of athletic performance.

Main Image: SwingVision

By Joe Lemire

By mounting their iPhones above the court, tennis players of all levels can use the SwingVision app to collect a trove of data and video from their matches. Add an Apple Watch and competitors can press a button and challenge a line call, receiving an animation on the wrist showing whether the ball landed in or out.

More recently, SwingVision has added a beta feature that yells “Out!” if a shot lands beyond the court boundaries. That audible line call takes a split second for the iPhone to process the image and make its determination, a rapid reaction only possible by the computing power of the chips Apple puts in its smartphones, bypassing the need to transmit to the cloud.

“That’s really only possible on device,” said SwingVision CEO Swupnil Sahai. “Because we’re processing 1080p at 60 frames per second, that’s a lot to process. And if you were to send that to the cloud and then have it process it and then run it back, you definitely can’t do that in half a second. And you certainly can’t do that on any court in the world.”

The proliferation of cloud providers and their processing have transformed sports tech for the better, democratizing access to storage and AI models, but there remain key use cases when the cloud isn’t the answer — when requiring speed, managing costs and operating with limited connectivity.

“This is a bit of a trend in my view, is that you see something that really works well in the cloud, but you need it speedier,” said Mike Davies, Fox Sports EVP of Technical and Field Operations.

Davies shared that observation in the context of his network’s IndyCar coverage. Fox and Indy Motor Sports Productions contracted with Lumen Technologies recently to install 10-gig fiber-optic cables at every track to support on-location servers. That enables faster rendering of data overlays on the driver’s eye camera and the use of a product called XtraMotion, which uses generative AI to turn regular footage into high-frame-rate video.

Sahai was a Tesla engineer before founding SwingVision, and the automotive manufacturer processes its Full Self-Driving cameras entirely with on-car hardware. “So that’s how I’ve always thought about this problem, is it should be done on device,” he said, calling it a philosophical decision.

“We just drew a line in the sand from Day 1: We’re doing this on device, we’re not going to use the cloud at all,” Sahai said, adding, “It just felt like it’d be way too expensive for a consumer app to run it in the cloud.”

Financial transparency can help. Gamecode, a soccer analytics startup, includes an upfront estimated cost for each predictive model run on the cloud.

Striking the right balance

Many sports tech firms offer a hybrid approach. Pixellot, whose AI cameras stream and analyze up to 20,000 games every weekend, is an AWS technology parter. Pixellot CTO Gal Oz once told SBJ that his company couldn’t have scaled without the cloud and “making Amazon do the heavy work. It’s not magic. I like the phrase that ‘there is no cloud, it’s just someone else’s computer.’”

Even though Pixellot CEO Doron Gerstel recently quipped of AWS, “They love us,” he added that every camera has an on-premises server to reduce the cost and expedite the video feedback for coaches and athletes. By the time the game ends, highlights are waiting.

“Now if you are doing it over there on the cloud, one of the most problematic things is you are on queue — if you want to pass the queue, fine with them, pay more,” Gerstel said. “The question is how much attention I’m losing if you’re not getting it immediately after the game. We are dealing with audience that is all about here and now.”

Gerstel added that he believes cloud computing prices will go down in time, and remaining affordable and timely is critical for the user. (Cloud pricing can be very dynamic based on time of day, volume of data, speed of turnaround, etc.)

GameChanger’s app was used to track more than 8 million baseball and softball games last year and is receiving an upgrade to stream in 1080p HD this year. Its President, Sameer Ahuja, said his group has invested in technical talent to optimize the efficiency of databases to minimize cloud reliance and cost. New innovations around video compression help retain quality while uploading faster.

And Ahuja previously shared that, internally, they often say “a bet on GameChanger is a bet on Apple and Samsung” because the smartphone providers are powering more on-device processing. That echoes a point from Sahai about SwingVision which, to date, is only available on iOS devices, but soon will expand to Android.

“A big reason why we haven’t gone to Android so far is because the compute wasn’t there,” Sahai said, saying it will finally be possible later this year. “We’ve started development for that, but even then, it’s only the very latest Androids, whereas on iPhone, you can go all the way back to iPhone 11.”

SwingVision’s electronic line-calling has been used in some junior tournaments as it applies to the ITF for certification that would enable use at higher levels. The audio alerts are, for now, a consumer feature to replicate the Hawk-Eye Live experience enjoyed by professional tennis players. But emitting that seemingly simple audio alert necessitates a huge behind-the-scenes engineering effort.

“Orchestrating all those different models, getting those to run as fast as possible,” Sahai said, “[required] a lot of experimentation and iteration for us throughout several years, honestly, of basically building our own architectures and getting it to run efficiently.”

This article was brought to you by SBJ Tech, a Leaders Group company. As a Leaders Performance Institute member, you are able to enjoy exclusive access to SBJ Tech content in the field of athletic performance.

Main Image: Getty Images

By Joe Lemire

The Unrivaled season is a three-month sprint, but the size of its performance staff and tech stack are robust enough for a yearlong schedule — and they are making an impact beyond their own league.

Susan King Borchardt, who has been a fitness consultant to Sue Bird, Kelsey Plum and Breanna Stewart, joined Unrivaled as its Director of Performance and Recovery. Borchardt’s first call was to Lindsey Elizondo, an athletic trainer and physical therapist with the Magic, who joined as Director of Medical.

“We crafted this idea — her coming from the NBA, me working with some of the higher-level individuals privately in the WNBA — and just saying, ‘This should be the standard,’” Borchardt said courtside before the semifinals in Brooklyn. Phantom went on to defeat Mist for the championship 84-70 in Florida on March 4.

Their department has a headcount of about 25 and is supported by an extensive array of technologies, such as Plantiga insole sensors, Kinexon wearables, Springbok Analytics MRI scans and VALD devices for the weight room. Katie Buria, Head Athletic Trainer at the Dream, is Unrivaled’s Director of Sports Science managing the relationships with the tech providers.

“What we’ve seen is that will raise the bar everywhere else that we go,” Elizondo said. “So if we set that bar here, that’s going to feed upward into the W, it’s going to feed into the NWSL, it’s going to feed into all of these other sports and force the hand of this is what it takes to perform at this level.”

The athletes have full ownership of their data and can choose whether to share it with their WNBA teams and personal coaches. Unrivaled didn’t have exact figures available but indicated that the majority of players opted into using the tech, with Borchardt calling it “part of our culture.”

“This is a very player-driven league, and they care about player safety and wellness. The treatment has been top of the line,” said Breeze G Paige Bueckers, praising both the staff and the tech, such as “the data and what we look like on the court with our Plantigas or our [Kinexons] or our chips that measure our asymmetries — little stuff like that goes a long way in basketball.”

Plantiga has made women’s sports a priority, with its CEO Quin Sandler saying of the work with Unrivaled, “Together, we’re not just collecting movement — we’re helping build the future of applied sports science for women.”

Her teammate Cameron Brink, who suffered an ACL tear in June 2024, had her first Springbok scan — which uses AI to turn an MRI into 3D muscle data — while rehabbing with Unrivaled last year and then again before this season.

“Once you have a big injury, you want to learn how to optimize everything, so all these tools really help,” Brink said. “It is really reassuring to get MRIs done like that and just a full body scan. From here you can see how you’ve grown and improved and what areas you still need to work on.”

Elizondo noted the unprecedented position Unrivaled is in by collecting all of this data since the league’s inception. By having access to data for every player, the performance group can identify trends and understand the demands of the elite 3-on-3 game, which are different than 5-on-5. That helps them train the players with more specificity and develop more targeted treatment and recovery protocols.

Tracking longitudinal data enables Unrivaled to share baseline metrics for each player, and for rehabbing players, it helps reinforce the value of the hard work. Borchardt saw it firsthand with one athlete recently.

“For that athlete to have those two visual pictures to be like, ‘Wow, this is actually really working’ — that was so motivating,” she said.

Unrivaled CEO Alex Bazzell emphasized the league’s player-first, development-minded vision as a reason why it has invested so deeply in the personnel and products to make the performance team what it is.

“These players are thinking long term, and the expectation is not just your compensation but resources of off the court,” Bazzell said. “Our staff and who we hire, those are the ones that the players need to trust. You have to build trust in a 10-week period, too. That’s not easy.”

This article was brought to you by SBJ Tech, a Leaders Group company. As a Leaders Performance Institute member, you are able to enjoy exclusive access to SBJ Tech content in the field of athletic performance.

Main Image: Brooklyn Sports & Entertainment

By Joe Lemire

Larry Bird famously won a three-point contest while still wearing his warmup jacket — after asking in the locker room, “Who’s coming in second?” — so, with the Nets about to play the Celtics, I channeled his confidence and didn’t change out of my hoodie and jeans.

Across the street from Barclays Center, the Nets recently opened the Brooklyn Basketball Training Center where a couple of weeks ago I had been invited to test the Shoot 360 tech its coaches use in training youth players.

Standing in front of one of the baskets outfitted with Noah Basketball’s shot-tracking tech and Shoot 360’s graphical user interface, I awaited the pass, dribbled back across a few lines and confirmed with coach Michael Collins that I was now behind the NBA three-point line. I was. And so I took a shot.

The net swished, and the LED screen lit up green — Shoot 360’s Splash Zone confirmed that my shot’s arc, depth and left-right alignment were just about perfect. Bird would have been proud.

Or at least my fellow ginger sharpshooter, Brian Scalabrine, who looks like family and played for the Celtics and Nets. (My two-time fantasy basketball title team was named Big Scal’s Doppelgängers.)

The Nets have long run free youth basketball programs in the borough, reaching 40,000 kids annually through 235 schools as well as Boys & Girls Clubs and other community centers. But this space now gives them a centralized location to run daily programs, largely targeting children ages 6 to 17. The Shoot 360 tech, Collins noted, offers a range of drills and sills — even passing and dribbling — so kids have a balance of autonomy and structure, so they can “use this technology not only to create a workout, but then also have fun.”

Don’t take just my word for it, but my brother and I brought some of our kids — ages 9, 11 and 14 — to test out the tech. They loved it and didn’t want to leave despite working up a light sweat and pushing close to tip-off an NBA game.

Three stations have responsive, large-screen LEDs that show videos demonstrating technique and then offer interactive exercises. The kids were asked to dribble a certain way and then fire passes at numbered targets. At one point, the screen showed a memory game that also required passing accuracy: players bounced the ball off the card to flip it over.

“One of our main lenses is, how do we help players get better faster?” said Shoot 360 founder/CEO Craig Moody, a former college basketball coach.

The company’s founding story involved Moody seeing his teenage son and his friends prefer to play NBA2K inside rather than go outside and shoot hoops on a sunny day. “If I could build a gym like a video game,” Moody thought to himself, “I’d have it made.”

Just before our family visit, the training center hosted a group of young campers from NBA Brazil, while another international group visited a similar facility operated by the Cleveland Cavaliers. The coaching staffs at the two sites synced up the Shoot 360s at each location and organized a real-time contest — truly the video game ideal Moody had long envisioned.

Marissa Shorenstein, Chief External Affairs Officer at Brooklyn Sports & Entertainment, said there’s a dual purpose to the franchise’s investment.

“We do it because we believe in giving back to the community, but we also do it because we know that engaging youth is the best way to engage long-term fandom for the Brooklyn Nets and the New York Liberty,” she said, noting that the Knicks, for example, have decades of inherited fandom whereas the Nets have only been in Brooklyn for 13 years and the Liberty for half that time. “For us, really creating that connective tissue with the community through the youth is what we believe is going to differentiate us long-term to build that generational growth.”

But there’s an appeal for adults, too. Collins said Nets players periodically pop in and shoot on the tech-enabled baskets. Jamal Crawford, Thad Young, Trae Young, Sue Bird and Breanna Stewart are among the former NBA and WNBA players to invest in Shoot 360. And weekend warrior adults (like me) had fun taking shots and getting feedback. It’s akin to what TopGolf, Home Run Dugout and other sport-tainment venues are offering.

“Where you have just the shooting piece, you don’t have to run up and play defense. You’re getting all the competition, you’re getting the social [element],” Moody said, adding, “We want people to play around the world for a lifetime.”

This article was brought to you by SBJ Tech, a Leaders Group company. As a Leaders Performance Institute member, you are able to enjoy exclusive access to SBJ Tech content in the field of athletic performance.

Main Image: AFP via Getty Images

By Ethan Joyce

Turns out at least one medal outcome was wrong at the Milan Cortina Olympics, and officiating and scoring startup Owl AI founder Jeremy Bloom says he can prove it.

The women’s snowboard slopestyle finish prompted immediate criticism for the judges who awarded Japan’s Mari Fukada the gold (with a score of 87.83) and New Zealand’s Zoi Sadowski-Synnott (87.48) the silver — with notable reactions from NBC analyst Todd Richards and others.

The frustration focused on the inconsistency of scoring on jumps — specifically Fukada’s high scoring on the 720s (two full rotations) in her routine, while Sadowski-Synnott’s attempted more difficult 1080s (three full rotations) as part of her set. And it hit the exact reason why Bloom founded the tech startup to begin with — and in this case, the difference between silver and gold after a rejudging from Owl.

This graph shows the data sets utilized by Owl AI to determine that the women’s snowboard slopestyle at the Milano Cortina Games should have likely flipped the gold and silver finishes for the event. (Graphic used courtesy of Owl AI.)

“I don’t think much needs to be said about how important these moments are for the athletes,” Bloom told SBJ. “They’ve worked their entire lives to just make an Olympic team, let alone put down the best run and either miss the podium or have the wrong color medal for whatever reason.”

To check the medal finish, Owl AI created a data set to look back at the past five years of judging for both 720s and 1080s. What it discovered: The two scores Fukada earned in Milan Cortina on her 720s (7.7 and 8.3, respectively) stood out drastically. The scores on Sadowski-Synnott’s 1080s were also near the peak of scoring for the moves but still very in line historically with the judging from which Owl pulled.

Owl rejudging still slates Kokomo Murase as the bronze winner. But it flipped the finishes of Fukada (with an 86.67 adjusted score) and Sadowski-Synnott’s (89.13).

“This is where we really think we could augment the judges,” said Josh Gwyther, Owl AI’s CEO. “Because if you, as a judge, are putting in a score and immediately saw this deviation, you might be like, ‘Okay, let me see, Is there something there?’ And maybe notate that anomaly.”

Both Bloom and Gwyther have often shared that Owl is not meant to replace judges but to be a helpful tool to set everyone (judges, athletes, fans) up for success around an event. But because judges can vary in their experience, background, and biases, Owl becomes guardrails of context. For example, Bloom pointed out, 720s won the men’s version of this event in the 2006 Olympics. It’s no longer a cutting-edge move, which should be reflected in the score.

Because Olympic moments happen at a four-year frequency, it adds extra pressure to make these decisions as correct as possible.

“On one hand, you want to honor those who won,” said Bloom, a former world champion and two-time Olympic skier. “You want to say, listen, on this day, given this criteria, that’s your gold medal. And any sort of commentary beyond that shouldn’t sort of diminish you because that was their day.

“But at the same time, if that athlete or any athlete would agree that there’s a lot of subjectivity to these sports and everybody would like to push for a more objective world.”

This article was brought to you by SBJ Tech, a Leaders Group company. As a Leaders Performance Institute member, you are able to enjoy exclusive access to SBJ Tech content in the field of athletic performance.

Main Photo: Courtesy of the NBA

By Joe Lemire

NBA Launchpad has selected five startups for the fifth cohort of its innovation program, choosing three related to basketball performance and two tied to league business priorities.

These companies will be paired with various league properties for six-month pilots culminating in a final Demo Day pitch session at NBA Summer League in Las Vegas.

This year’s batch of startups for NBA Launchpad in 2026 consist of:

• Atlas (S.F.): Atlas is a brain-sensing wearable quantifying cognitive readiness through its proprietary metric called Clarity. NBA SVP and Head of Basketball R&D Tom Ryannoted the impressive founding team led by “two world-class neuroscientists from Oxford and Cambridge” and two commercial executives with a track record at Oura. Atlas will be made available to NBA and WNBA team staff as well as referees on an opt-in basis for testing.
• Cred (S.F.): Cred is a predictive intelligence platform for sponsorship lead generation, which considers internal data as well as external market signals. Jason Bieber, NBA SVP & Head of Corporate Strategy, explained that it can ingest geographical considerations, such as where companies are opening new offices, or personnel such as new executive hires or consumer data, like team loyalties. Bieber said Cred already works with a few NBA teams and will be piloted at the league office.
• Diddo (L.A.): Diddo offers an API so that digital platforms, ranging from live streams to social media and apps, can integrate retail directly into the experience. Whether it’s apparel, tickets or other items, the goal is to keep users engaged in whatever content they were already consuming. Diddo is a graduate of the Comcast NBCUniversal SportsTech accelerator. Bieber indicated it would be tested within the NBA app and NBA League Pass.
• Peripheral Labs (Toronto): Peripheral Labs is a spatial intelligence firm, taking autonomous vehicle technology to generate tracking data and recreate live sports in 3D by using dozens of sensor-enabled cameras. The founders had stints working at Tesla and Huawei. Ryan said it could have applications across officiating, player health and performance and fan engagement. Peripheral Labs, which raised $3.6 million in seed funding last month, is already installed in one NBA arena and will be further tested at the new G League R&D facility in Salt Lake City.
• Swish Basket (Tel Aviv): Swish Basket uses cameras and lidar sensors to track players’ shooting success and form while offering AI-powered training and gaming. Unlike similar tracking apps like Homecourt, which required players to set up their own smartphone for tracking, Swish requires a more permanent installation but removes that friction and uses additional tech for more detailed metrics. This product will be tested at NBA owned-and-operated international basketball schools.

For the second year, Launchpad’s selection criteria is loosely based on five league priorities — Future of Officiating, Youth Basketball, Player Health & Wellbeing, Future of Media and Fan Connection — without necessarily adhering to those exact categories. Ryan told SBJ the goal is to find products that live outside the daily core business but could be relevant within the next five years.

“In the first three years of Launchpad, we were really focused on putting out specific, almost DARPA-type of challenges, and then finding companies that map directly to those,” Ryan said. “Where we are in year four and five is just broadening up and always staying true to our big five priority areas around the game and our business, and then really just focusing on finding world-class founders and making sure that the problem they’re solving is a high-risk, high-reward type of bet.”

Alumni from the first four years of the program include seven startups to receive funding from NBA Investments and several who have gone on to work directly with NBA teams, such as insole sensor provider Plantiga, MRI-based muscle scan analysis company Springbok Analytics and broadcast tracking data supplier SkillCorner. Others have collaborated with the league on projects such as nVenue, which creates micro-betting markets, and SportIQ, whose ball sensor is being piloted for automated officiating use cases.

This article was brought to you by SBJ Tech, a Leaders Group company. As a Leaders Performance Institute member, you are able to enjoy exclusive access to SBJ Tech content in the field of athletic performance.

Main Photo: Airo

By Joe Lemire

Speedskating team pursuit debuted at the 2006 Olympics, with three-skater teams racing in sync, taking turns leading the pack to absorb the wind.

At times while looping the course, because the skates don’t have brakes, one athlete might incidentally bump a teammate from behind. Back in 2018, Shane Domer, US Speedskating Chief of Sport Performance, wondered if those pushes were beneficial and how to optimize the number of exchanges at the front of the line.

Domer contacted the Chair of the governing body’s Sports Science Commission, aerodynamics expert Ingmar Jungnickel, to build a projection around these ideas. Jungnickel concocted what he called a “napkin math kind of model” that immediately showed a savings of about a second and a half, Domer recalled.

A week later, however, Jungnickel called back and told Domer, “Shane, I think we’re doing this thing all wrong. What if we don’t exchange at all?”

Jungnickel proposed that the two trailing skaters, who benefit from the energy savings of drafting, use that to push the leader forward rather than take the time to sprint out in front, likening the concept to bump drafting in NASCAR.

“The model showed that pushing was so clearly advantageous that you shouldn’t sometimes push,” Jungnickel said. “You just should abandon taking turns at the front altogether, and this should replace the old strategy.”

After years of testing — both through advanced computational fluid dynamics models and on-ice training — that revolutionary technique has propelled the American men from also-rans to both the podium and the record books. The US, which finished eighth at the 2018 Olympics, won a bronze at the 2022 Games and gold at the 2025 world championships while setting the world record in the event.

Internally, it’s called Project Slippery Fish, but to the world, the technique has come to be called the American Push.

Jungnickel had worked with Olympic cyclists in his native Germany, as well as with Tour de France teams, but at the time of this discovery, he was leading an innovation team at Specialized bicycles. Given the success he had in speedskating, Mike Levine, USOPC Senior Director of Performance Pathways and Innovation, suggested he apply for a grant from the donor-backed Performance Innovation Fund.

That funding enabled Jungnickel to start a sports tech R&D consulting firm, Inspire Gold, which then built an AI-powered aerodynamics spinoff — Airo — that replicates a wind tunnel by creating digital twins of athletes that can be manipulated in 3D to determine the best posture and formations. US Speedskating was the first client, but Jungnickel said he has also worked with national teams in ski and snowboard, cycling, luge and triathlon.

Without the grant, Jungnickel said he likely would not have started the company. Now, the core IP remains proprietary to US Olympians, but related use cases are helping support Inspire Gold. Levine emphasized that many Olympic sports don’t have technological support because they lack a large enough commercial market.

“Airo is selling the technology to bike fitters and bike shops, but there’s a speedskating version and the ski version that we will never sell to anybody but the US Olympic Committee,” Jungnickel said. “That’s our core business model: Essentially develop technologies that help Team USA win, and then commercialize them and long-term fund these businesses.”

The 26-member Performance Innovation Advisory Committee is chaired by Apple’s Eddy Cue and includes members from disparate backgrounds, such as team executive (the Spurs’ RC Buford), athlete (NFL lineman Kelvin Beachum), investor (Goldman Sachs’ David Solomon), business analytics (KAGR’s Jessica Gelman) and medicine (Texas Children’s Dr Jeff Shilt). The fund has raised about $50 million to date.

“It’s really a talented and generous group who provides us this risk capital, strategic guidance and network connections to invest in and execute bold ideas that can create competitive advantages for Team USA and elevate the performance, health and wellbeing of Team USA athletes,” Levine said, adding that the scope is “agnostic. We’re not defining what lanes we’re playing in.”

Founding committee member Geoff Yang, the managing director of Redpoint Ventures, explained the goal in 2015 was to combine “data, applied technology and ingenuity” to support and identify talented Olympians and Paralympians.

“The United States is home to the most innovative technologies in the world,” Yang said, “and Team USA should be a leader in applying those technologies.”

There are four main allocations:

• An international competitive analysis that uses machine learning to develop medal expectancies, helping drive high-performance planning;
• Athlete 360, a custom management system available to NGBs for free;
• Monthly online forums and an annual performance innovation summit “to create the collisions and spark a shared learning and cultivation of ideas,” Levine said; and
• Grants, such as the one utilized by US Speedskating and VAMA, a motion capture technology used to great effect by USA Track and Field.

“Without the funding to get these projects going, we lose steam on the innovation side,” Domer said. “Some of them fail, and these guys are OK with that. And that’s awesome because that helps us create the lack of fear of failure that we’ve had in the past.”

The speedskating team happens to be full of engineers who understand the underlying concepts. One skater, Emery Lehman, even spent time as an intern with Airo’s athlete engineering project. The willingness to experiment from the athletes and coach Ryan Shimabukuro has been critical.

“I give him and our athletes a lot of credit because they didn’t know what the payoff would be,” Domer said, “and to commit to doing this thing — well, as a speedskater, you’re not taught to skate pushing someone. So it took a lot of work to get them to adopt the technique.”

This article was brought to you by SBJ Tech, a Leaders Group company. As a Leaders Performance Institute member, you are able to enjoy exclusive access to SBJ Tech content in the field of athletic performance.

Main Photo: US Figure Skating

By Ethan Joyce

For US Figure Skating’s Justin Dillon, a collaboration announced last week for the organization resonates with the beginnings of his love of the sport.

Now the Chief High Performance Officer for US Figure Skating, Dillon’s affinity for the sport launched a career that reached the senior men’s national level. There was no resource to track progress or compare skating techniques in real time, something that will be much easier to do for skaters with the organization’s partnership with OOFSkate, which provides high-level analysis in an accessible way through an app.

“I was very self-driven, which is a great quality, but it was lonely,” Dillon told me. “So, I think that this also gives you the opportunity to compare your data. It’s almost like skating with a friend, because you can compare your data with athletes that either are similar levels or that you choose to share your data with or athletes at the level.”

The work comes as US Figure Skating looks toward the future, Dillon shared, in discovering how technology can move the sport toward the cutting edge around judging and analytical improvements. That journey is one that many sports and governing bodies find themselves on, with new startups trying to help that pursuit.

Simplifying analysis

OOFSkate is founded by Jerry Lu (the company’s CEO) and Jacob Blindenbach (CTO), a pair with extensive experience in applying innovation to performance and tracking for athletes.

Lu told my SBJ Tech colleague Joe Lemire that the startup’s education around skating has been powered by some significant names in the sport via an NBC connection, like former Olympians and world champions Nathan Chen, Tara Lipinski, and Johnny Weir, as well as the Skating Club of Boston.

With OOFSkate, skaters or coaches can record or upload skater routines to see insights like jump height, spin rotation and landing. It also provides for comparative analysis, where two videos can be analyzed simultaneously to compare multiple jumps from the same athletes or enable a skater to compare with fellow skaters. It only needs a single smartphone camera.

“If a coach records an athlete, they’re not going to carry a big camera connected to a big desktop computer that connects to something in order for them to use it,” Lu said. “So, it is designed to be a system that can be run on your cellphone with minimal lag.”

OOFSkate will support the upcoming Winter Olympics by providing data to boost TV production graphics and commentator analysis. The startup is self-funded. The founding pair met as students at the University of Virginia and have developed similar analytics tech for Olympic swimmers.

Perhaps my favorite detail? The “OOF” in OOFSkate is to replicate the reaction like “oof, that was bad,” but later retrofitted the acronym ‘obsess over form’ thanks to the help of sports scientist (and US Figure Skating Sports Science Manager) Dr Lindsay Slater.

This article was brought to you by SBJ Tech, a Leaders Group company. As a Leaders Performance Institute member, you are able to enjoy exclusive access to SBJ Tech content in the field of athletic performance.

By Dr Benjamin Kelly

When Barcelona paid £107 million for Antoine Griezmann in 2019, the club acquired a cognitive anchor that would influence team selection for years, regardless of performance.

When managers delay substitutions despite trailing, they’re exhibiting loss aversion. When entire industries pursue the same talent, driving compensation packages to irrational levels, they’re succumbing to herding behaviour.

Professional football provides a vivid laboratory for understanding managerial decision-making. The biases visible on the pitch are identical to those undermining leadership across every industry. The consequences are measured in billions of pounds of misallocated resources and missed strategic pivots.

Behavioural biases cost organisations far more than technical incompetence. Yet most leadership development ignores the psychological patterns that systematically undermine even the most talented executives. Understanding these five critical biases – and building processes to counteract them – is essential for effective leadership.

1. The sunk cost trap

Once an organisation invests heavily in a strategy, acquisition, or hire, the psychological pressure to justify that investment becomes overwhelming. Leaders consistently double down on failing initiatives simply because of what was already invested.

In football, expensive signings receive playing time despite poor performance. Nicolas Pépé (£72m), Philippe Coutinho (£142m), and Antoine Griezmann (£107m) continued starting despite underwhelming contributions because admitting the transfer was a mistake felt too painful.

In organisations, executives defend failing projects and persist with underperforming business units for the same reason.

The antidote:

Establish clear criteria for evaluating ongoing investments independent of what was spent. Ask: ‘If we were making this decision today, would we proceed?’ If the answer is ‘no’, the sunk cost is irrelevant.

2. Loss aversion: the paralysis of admitting error

Losses hurt roughly twice as much as equivalent gains feel good. This asymmetry creates a bias towards inaction even when action is optimal.

Managers wait too long to make substitutions or tactical changes. Ole Gunnar Solskjær’s Manchester United, down 2-0 to Liverpool at Old Trafford in 2021, waited until the 46th minute to make their first change, and until the 60th minute for meaningful tactical shifts. By then, Liverpool had scored three more goals.

Making early changes feels like admitting the initial plan failed. Waiting preserves the illusion of control and delays psychological pain. Meanwhile, the opposition exploits the unchanged approach.

In organisations, leaders persist with failing strategies far longer than optimal because changing course mid-year feels like admitting error.

The antidote:

Build pre-commitment devices. Decide in advance what triggers will prompt strategic changes (e.g. ‘if we’re losing at half time, we make two changes immediately’). Remove emotional bias from in-the-moment decisions.

3. Herding behaviour: following the crowd

Every summer, multiple football clubs pursue the same handful of players, driving prices to astronomical levels whilst equally talented alternatives are ignored. The 2023 pursuit of Brighton’s Moises Caicedo saw his valuation jump from £80m to £115m in days, not because his ability changed, but because two clubs (Chelsea and Liverpool) were competing for his services.

In executive recruitment, the same pattern repeats. When a particular executive becomes ‘hot’, multiple organisations suddenly pursue them, driving compensation packages to irrational levels.

The antidote:

Implement rigorous, independent evaluation processes before considering what competitors are doing. Be willing to hire exceptional talent that others have overlooked – this is where competitive advantage lives.

4. Confirmation bias: seeing what we want to see

Once an organisation commits to a decision, confirmation bias takes over. Leaders see what they want to see; concerns are explained away or ignored.

Alexis Sánchez at Manchester United provides a textbook example. Signed in 2018 on a contract worth £560,000 per week, Sánchez continued to start matches despite consistently poor performances because the club needed to justify the astronomical wages. Every decent performance was highlighted; poor form was explained as “still settling in”. The confirmation bias persisted for nearly two years before he was loaned out.

The antidote:

Before major decisions, actively seek disconfirming evidence. Assign someone to make the case against the decision. Force these counterarguments to be addressed explicitly.

5. Anchoring: trapped by first impressions

Leaders anchor to preferred approaches – formations, business models, management styles – that become reference points for all subsequent thinking. Even when circumstances demand different approaches, the anchor holds firm.

The Chelsea Manager between 2019 and 2021, Frank Lampard, remained committed to the 4-3-3 formation even when results suggested alternative systems might work better. As opponents adapted and key players aged, the system became less effective, yet the anchor made adaptation psychologically difficult.

The antidote:

Regularly challenge foundational assumptions. Ask: ‘If we were designing this from scratch today, would we design it this way?’ If the answer is ‘no’, the anchor is costing you.

Lessons for football coaches: building better decision-making processes

The best-run clubs implement systematic approaches:

1. Pre-commitment devices: Decide substitution triggers before the match. This removes emotional bias from in-the-moment decisions.
2. Separate process from outcome: Evaluate in-game decision-making independently of the final score. Did you make the right call at the right time, even if it didn’t work out?
3. Active disconfirmation: Before committing to a tactical approach or signing a player, assign an assistant to argue against it. Force these counterarguments to be addressed explicitly.
4. Decision journals and bias checklists: After each match, document key decisions and outcomes. I have created a football manager/coach behavioural bias checklist – a series of yes/no questions that identify which biases may have influenced decisions.

Each question links to one of the five key biases:

• Did you delay substitutions despite trailing? (Loss aversion.)
• Did you continue with a failing tactical approach? (Anchoring.)
• Did you select a player primarily because of their transfer fee? (Sunk cost.)
• Did you dismiss evidence that contradicted your pre-match plan? (Confirmation bias.)
• Did you pursue a player because other clubs were interested? (Herding.)

A ‘yes’ response flags that decision for deeper review. Over time, this checklist makes invisible biases visible, allowing managers to identify personal patterns and build awareness of when they’re most vulnerable to specific biases.

5. Cooling-off periods: Don’t make major tactical or personnel decisions immediately after wins or losses when emotions are highest. Wait 24-48 hours. Decision quality improves dramatically.
6. Objective performance metrics: Separate player performance from transfer fee. Track how often expensive signings play regardless of form. Make invisible biases visible through data.

Conclusion

The margins in elite organisations are razor-thin. A single strategic decision can mean the difference between market leadership and irrelevance. Yet organisations routinely leave value on the table because of psychological biases that are well-documented, predictable, and preventable.

The invisible opponent – our own cognitive biases – may be the most formidable challenge in leadership. But unlike external competition, this opponent can be beaten with awareness, process and discipline. The organisations that master this mental game won’t just avoid costly mistakes. They’ll outcompete rivals who remain blind to their own biases.

For football coaches, every decision is analysed, every outcome is measured, every mistake is scrutinised. By implementing systematic processes that counteract bias, coaches can improve decision-making quality, reduce costly errors and build more resilient organisations.

The mental game is the game. Everything else is just preparation.

Dr Benjamin Kelly advises investors and professional athletes on decision making strategies in high stakes environments. If you would like to speak to Benjamin about his work, please contact a member of the Leaders Performance Institute team.

What to read next

Even the Best Tennis Players in the World Are Worse When the Stakes Rise – and it’s Not Just Down to Random Variance or Bad Luck

Main Photo: NHL

By Joe Lemire

“Goal, Anaheim.”

“Goal, Boston.”

These pronouncements from video technicians were, for a time, the only interruptions piercing the quiet murmur of the NHL’s Situation Room, the league’s high-tech Toronto facility where every replay challenge is reviewed and ruled on.

Most goals are straightforward, but every one is reviewed by a hockey operations executive to ensure its legality. So long as the puck wasn’t kicked or high-sticked into the net, the game continues. But the technicians, each assigned a single game, watch several angles of each goal to prepare for a possible coach’s challenge — such as whether the offensive team was offside.

“Goal, Pittsburgh. This one’s on us.”

Suddenly, the room stirs to life. The Penguins appeared to net a game-winning goal against the Flyers in overtime, and the Situation Room initiates all challenges in the final minute of regulation or in OT. As the braintrust began reviewing the play — several hockey operations executives and a retired referee — word arrived that the on-ice refs whistled an infraction that nullified the goal.

A few minutes later, the Flyers scored their own apparent game winner, but very quickly, a potentially incriminating view of their entrance into the zone appeared on the screen.

The Situation Room features 16 LED flat screens along the front wall and roughly a dozen workspaces for technicians, each assigned to one game. Photo: NHL

“We’re going to challenge this. Let’s get the linesmen on.”

Word is communicated to the on-ice officials, one of whom informs the crowd that “the previous play is under review by the league to see if the play was offsides prior to the goal” as boos cascade down from Flyers fans.

Situation Room staff pored over several angles, most notably a Sony 4K camera installed right on the blue line for exactly this use. And the final verdict, made by the Situation Room, was close, but clear: Offside. No goal. About 80 seconds after the review began, the ref shared the news in Philadelphia. Even more boos followed.

“We are the keepers of the game,” said Kris King, NHL Executive Vice President of Hockey Operations, the department’s No. 2-ranking official under Colin Campbell.

This is the second year of an upgraded, high-tech Situation Room. There are 16 LED flat screens adorning the front wall, a desk in the middle of the room for executives and roughly a dozen workspaces around the perimeter, where technicians monitor every game. SBJ was one of two news outlets granted behind-the-scenes access on the first night the 10th-floor space was open to media.

“Our job doesn’t really change a lot, but the equipment that we use, and the knowledge that we gain from using better equipment, just gives us a little bit of an upper edge to get to the right answer quicker,” King added.

The NHL was the first professional sports league to centralize its reviews back in 1991, and it has worked with Sony-owned Hawk-Eye’s Synchronized Multi-Angle Replay Technology (SMART) as its video replay provider since 2015.

Separately, the league named Sony a global technology partner earlier this year, and Hawk-Eye’s tracking cameras were installed in every NHL arena prior to last season. That system offers potentially richer data: Whereas NHL Edge, which is powered by SMT sensors on the players and in the puck, tracks a single, center-of-mass location for each player, Hawk-Eye collects data from 29 points on each skater and six points from the hockey stick.

In time, that optical data from Hawk-Eye should inform a richer future of hockey analytics, more immersive fan engagement and, perhaps, data-driven support for officials.

“The NHL are very much innovators in the space — they want to innovate with us to create the future of technology in sport — but I love the fact that it is coupled with patience,” said Dan Cash, Sony Hawk-Eye’s Managing Director for North America. “They know that this is going to be powerful for their game, but they aren’t trying to sprint to the finish line here, which I think with technology can be sometimes a mistake.”

Cameras display a multitude of angles to enable the Situation Room crew to make speedy reviews. Photo: Joe Lemire

‘A real-time league’

When King joined the league office in the early 2000s, the process was dramatically different. When a discipline issue arose, King would need to ferry a VHS tape to Campbell, who lived in Tillsonburg, a two-hour drive from the NHL office in Toronto.

They’d each get in their cars and drive halfway, inevitably connecting at a Tim Horton’s, the most Canadian of meeting points. Campbell would then drive home, review the tape and make a ruling about a possible suspension or fine. Nowadays, that video is transmitted in about 125 milliseconds from arenas to the Situation Room and about as rapidly to Campbell’s house, saving immense time and gas, at only the cost of a fresh coffee.

“How we transport video is the secret sauce, so to speak,” Cash said. “It’s not easy to transport video as quick as we do over a wide area network.”

We are the keepers of the game.

Kris King, NHL Executive Vice President of Hockey Operations

It’s even less for the league’s next-door neighbors. The goal horn from next-door Scotiabank Arena blared concurrently with a Maple Leafs goal scored on the Situation Room monitor. (The horn also later sounded for a Blue Jays home run; the World Series, featuring the local team, was discreetly on a few Situation Room screens.) That immediacy lets the Situation Room prepare video clips and look at questionable calls before even hearing from the on-site staff.

“It definitely is a real-time league now,” said Rod Pasma, NHL Group Vice President of Hockey Operations. “A lot of times we’ll know exactly what’s going on before [the coaches] even call the officials over to challenge a play.”

On that night, the Situation Room scoured replays to prepare a ruling that never materialized, with the on-site coach opting against the review process. “That’s a good non-challenge,” King said, noting the likelihood the call wouldn’t have been reversed.

The NHL continues to add cameras: There are three in each goal, one above, four on the blue lines and an elevated 4K lens to provide the All-12 viewpoint of every skater. Some arenas now have Cosm C360 cameras. The league will soon begin testing an 8K version of the All-12 at the Prudential Center — where the NHL and Verizon also are creating an innovation lab to test new tech, scheduled for full operation early in the new year.

On this particular night in the Toronto Situation Room, as part of ESPN’s Frozen Frenzy, all 32 teams were playing, many of the start times staggered by 15-minute intervals to make the action nonstop. One workstation was solely dedicated to pressing go on a digital dasherboards celebration for Alex Ovechkin’s 900th goal. The NHL didn’t want to chance it flashing live on-air, only for the goal to be overturned on review.

“The technology’s gotten to a point where the only thing we can’t do right now is literally hit the horn in the building,” Pasma said.

Hawk-Eye’s tracking cameras were installed in every NHL arena prior to last season. Photo: Joe Lemire

Bird’s-eye view

High in the rafters above Scotiabank Arena, looking down on the Maple Leafs’ 1960s Stanley Cup banners, are six black, rectangular cameras affixed to the catwalk and helping power the Hawk-Eye tracking system. From up here in the rafters, the ice seems impossibly low, but the 4K, 60-frames-per-second cameras capture granular movement data via images streamed directly to the cloud — Hawk-Eye’s first leaguewide deal to be cloud-native. Another six cameras are placed on lower levels of the arena to avoid obstruction from the center-hung video board.

Those dozen video inputs are triangulated and processed to determine the precise location of every skater and his stick. Hawk-Eye has provided MLB with bat tracking data for a couple seasons, but that’s only one bat in a known location every time — far different than 12 sticks across a 200-foot-by-85-foot ice rink.

For now, the AI models interpreting this data are still going through iterations to reach the confidence threshold for accuracy needed for wider distribution. The NHL has never had stick data, and Hawk-Eye and the league are in the “true development phase in refining the technology,” said Sean Williams, NHL Vice President, Innovation and Technology Partnerships. Williams added that it could soon be used to enhance the existing Edge tracking that teams can access through the data feed.

When Hawk-Eye data does become a part of the NHL Edge repository, it will not only further enrich the data-driven storytelling for fans via broadcast and digital media and help clubs more intricately analyze the sport, it also could provide other inputs for referees, linesmen and Situation Room executives.

“Not currently, but that’s definitely where we’re going,” said Sean Ellis, NHL Vice President of Hockey Operations, of using tracking data for officiating. “We’re not going to roll it out until we’re 100% confident and comfortable that the data that we’re getting is accurate.”

Even then, the potential is more to inform than automate. “We are genuinely looking at all options,” Williams said, “but our fundamental strategy is to keep the call on the ice made by humans.”

This article was brought to you by SBJ Tech, a Leaders Group company. As a Leaders Performance Institute member, you are able to enjoy exclusive access to SBJ Tech content in the field of athletic performance.