Malter Analytics

We wrote up what a computer-vision pipeline for goal-line review would actually look like. Detection, line geometry, trajectory fitting, multi-camera fusion. And why even a perfect model probably wouldn’t have settled this one either.

More info on our blog.

With the playoffs kicking off this week, we pulled every goal, shot, penalty, and faceoff from the regular season and compared the PWHL to the NHL. What's the same, what's wildly different, and what the data says about year three of the league.

A Data Analysis of the PWHL Regular Season | Malter Analytics Blog With the Professional Women's Hockey League postseason kicking off this week, we wanted to review in data the trends and patterns of the league's 3rd...

We used Google's MediaPipe pose estimation to build a real-time bike fitting tool. Point a phone camera at a rider from the side and it automatically tracks joint angles, body position, and counts pedal rotations through the video. No sensors, no expensive equipment.

The rotation tracking works by watching the knee's vertical position over time. Each pedal stroke creates a wave pattern, and by detecting the peaks we can calculate cadence straight from the video.

Check out the full write-up with video demo:

Using MediaPipe Pose Estimation for Bike Fitting and Rotation Tracking | Malter Analytics Blog Bike fitting is one of those things that's part science, part art. A good fit can save watts, prevent injury, and shave minutes off a triathlon split. Most...

We've tracked all 900+ ABS challenges through the first two weeks of the MLB season. The biggest surprise? Catchers are winning 60.6% of their challenges compared to Batters at just 46.5%.


Full analysis here:

The ABS Challenge Data Is In: Catchers Own the Zone | Malter Analytics Blog MLB's Automated Ball-Strike (ABS) challenge system debuted in 2026, and two weeks of data — 971 challenges across every team — already reveals a clear...

-Miami Fl has the edge versus common opponents over Missouri
- Illinois’ fast pace tempo beats a UNC style mid paced tempo in 55% of games
- BYU blew out 2 teams that kept Gonzaga close

Get insights like these for your bracket at MalterAnalytics.com!

Does the transfer portal in Men's College Basketball actually help? We analyzed 1,227 college basketball transfers to find out.

Key findings:
- Players who step DOWN (Power → Mid-Major): +5.8 PPG, 94% improved
- Players who step UP (Mid-Major → Power): -4.7 PPG, only 17% improved

The data is clear, your stats rarely follow you to a bigger program. But the financial incentives have changed the calculus entirely.

Full breakdown with interactive data:

Does the Transfer Portal Actually Help? A Data-Driven Look at 1,227 College Basketball Transfers | Malter Analytics Blog The transfer portal has reshaped college basketball. But does transferring actually help players? We tracked 1,227 players who switched schools between the...

We're here to help you analyze your March brackets. Conventional wisdom says free throw shooting wins close games. The data tells a different story.

What Actually Wins Games in College Basketball? | Malter Analytics Blog With conference tournaments underway and March Madness around the corner, we dug into play-by-play data from all 5,927 D1 college basketball games this season...

In honor of Kobe Bryant's 81 point game being broken by Bam Adebayo, here is a shot chart we made back in 2020 of of Kobe's career shots.

https://www.malteranalytics.com/blog/2020-01-28-kobe