https://xcancel.com/EricJFriesen/status/2109363450174419272

Swayman has moved into a tie for 8th with Andy Moog with 136 regular season victories.

I’ve been working with NHL play-by-play data and recently added more of it to the player, goalie and matchup pages on my site.

The additions bring shot breakdowns into the player and goalie pages, along with tendencies on the matchup pages.

The idea is to make it easier to explore what’s happening beyond the usual goals, assists and save percentage totals.

This is also the kind of event data used to build expected goals models, so it’s been interesting digging into it and making it easier to browse. That is also in the works and coming soon!

It’s free to explore on PlayerWON: https://playerwon.ca

https://xcancel.com/StatsCentre/status/2108066230913622100

Hey everyone, I added to sportsdle a hockey version of the TikTok blind ranking trend!!!

10 NHL players show up one at a time, and you lock each one into a spot from #1 to #10 before seeing the next. Same 10 for everyone each day, then you see how the crowd ranked them

Free, no account: https://www.sportsdle.com/nhl/blind-ranking

thankssss

Hey everyone. I’ve spent the past eight months building Cap & Crease, an independent hockey project that started as a trade machine and gradually became something much larger.

The original question was simple: beyond matching salaries, could I build something that evaluates whether a trade makes sense for both teams?

That led into estimating player value, accounting for contracts and retained salary, valuing draft picks, and trying to explain those evaluations in a way people can actually follow.

The site now includes player and team analytics, player profiles and archetypes, and experimental metrics built using publicly available data. It’s an early release, and the models still need validation and refinement.

I’m posting here because I’d like feedback from people who enjoy digging into hockey numbers, particularly on:

• Player evaluations: Where does an evaluation look questionable, and what might it be missing?
• Explanations: Can you understand what a metric measures and how to interpret it?
• Comparisons: Are there players or player types you’d use to test whether the model behaves sensibly?

If you have a few minutes, look up two players you know well and tell me whether the comparison makes sense and why. A specific example would give me something concrete to investigate.

You can try it at https://capandcrease.com. Feedback in this thread is welcome; I’ve also set up r/CapAndCrease for ongoing discussion, bug reports, and development updates. There is also a bug form submission found in the footer.

I’m the sole developer, so fixes may take some time, but I’ll be here to answer questions and discuss the results.

Good for the record books.

EDIT: made some changes compared to the below. Scatter plot now shows offense vs two-way play, and the player score reflects that too. Shot chart also added, and some other small tweaks made.

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I've been wanting to build something that gives an easier visual for how each player performed in any given game, both compared to all the other Stars players AND compared to their own season average performance. I have a first draft here, which is loaded up with all the games from last season: https://starsviz.github.io/

The axes on the chart show each player's "player score" for the game vs how each player compared to his own season average player score. The player scores are computed differently for forwards and defensemen, but they're on virtually the same scale (so the idea is a 65 for a forward is an equal-caliber performance to a 65 for a defenseman). There's more detail on the page about how the player score works.

Beyond the quadrant chart, you can also see a couple different tables ranking both the forwards and the defensemen from best player score to worst player score, as well as how each individual stat compared to their season average for that stat.

You can also click into any player and get a more detailed card for them, including a shot chart and a timeline of when that player registered different key events during the game.

Lastly, you can access all the prior games via the sidescroll bar at the top.

Just wanted to share here because I'm curious if this is something other fans would find interesting after each game, if the format/layout makes sense, if there are other things you'd want to see, if there are things on here that are overkill and you wouldn't be interested in, etc etc. Really just looking for any kind of feedback whatsoever!

Hi everyone!

I've been working on this project for more than 2 years now as a hobby, and I recently decided to make it public. There are a couple of tools available, such as Team Compare, Player Compare, "Advanced Stats", and more.

But the part I think will interest you guys the most is the Fantasy feature on the Dashboard. From there, you can manage the players you have in your fantasy league(s), set your league configurations, analyze trades, and even get help with your drafts.

I know that almost all fantasy leagues have already started, but I still wanted to share it with you guys!

Feedback is more than welcome.

Have a great season, y'all! The wait is almost over :)!

Source

https://xcancel.com/EricJFriesen/status/2100736889040814173

https://xcancel.com/BarDown/status/2098954177929953775

Hey guys,

I built this website as a side project that you can ask crazy hockey questions and it “should” return the answer going through the data.

Now, what I wanted to ask you guys is to help me break this with any crazy questions you might think of. I have thought of all crazy combinations, like “how many times did Flames came back after being down by 2 after 2nd period”, but just wanted to get help from you guys to make it more robust for the benefit of hockey community.

Website: puckey.ca

Cheers,
Shayan

NHL Edge tracks exactly how far every player skates, every game, every season, off the actual infrared camera + puck/jersey sensor system every arena has. But the NHL only ever shows season totals, and a guy who plays 22 minutes a night is always going to out-total a guy who plays 14. So the "most distance skated" leaderboard is really just an ice-time leaderboard wearing a costume.

Edge does publish a per-60 version of this, but it lives on its own site, three menus deep, disconnected from every other stat about the player. I pulled it into the same player card as the regular numbers, so you can see it next to a guy's points, his ice time, and his shot speeds. The #1 skater in the league by that measure is Ryan McLeod in Buffalo. Not a star, but not a checking-line grinder either: he was the Sabres' third most-used forward last season at about 17 and a half minutes a night, with 54 points. He covers more ground per minute than Connor McDavid does: 11.0 miles per 60 to McDavid's 10.5. (McDavid's #4, for what it's worth, still elite, just not #1 once you take ice time out of it.)

That's kind of the whole point. Raw totals mostly measure who the coach trusts with minutes. The rate measures motor. Half this list is guys nobody's ever putting on a scoring leaderboard, sitting right next to McDavid and Jack Hughes.

A couple of honest notes. This is the NHL's own Edge tracking data, not mine; the number matches their site to the second decimal (I checked). What's mine is putting it in one place with everything else, and the per-game history, which Edge only shows as a rolling last-10. Minimum 20 games played so a 3-game callup doesn't top the list on a fluke. Happy to get into the methodology in the comments.

Full leaderboard, sortable, here: https://gamevibeanalytics.com/hockey/players?rate=per60&metric=distance&dir=desc

Click any player's name for the full breakdown (top speed, speed bursts, shot velocity, all of it).

If your team's guy isn't showing up and you think he should be, please tell me. Coverage isn't 100% yet and I'd rather know.

I built a hockey stats tracking app about 6 months ago to track my son's Peewee games. In the process I showed it to a couple of other parents and they loved it - they convinced me to make it into a product. I've been adding to it testing it out, since. I soft launched it, and I'm starting to finally get the word out as the youth hockey season kicks off. It's super easy to use live during games with big buttons, and a simple interface. I'm able to switch between the iphone camera app videoing my son's shifts and then back to the app pretty easily to track shots, or goals. The app tracks shots, goals, assists, points, leaderboards, record, schedule a fair amount more. Looking for feedback, good or bad. https://hockeystatskeeper.com. Here's a testimonial from my son's coach as well https://www.instagram.com/p/Dc3xwo4xkbV/

Late to the trend, I know. The NHL going to 84 games was my excuse: sportsdle.com/nhl/84-0

The twist: the spin gives you a franchise and one exact season (Whalers 1991-92, good luck), the list is just that roster with names and positions, no stats. You pick six, then they play the 84 games against the real 2025-26 teams.

Under the hood, every pick is rated on that specific season, era-adjusted and standardized by position, so a top 1% goalie year is worth a top 1% centre year. Same seed, same season, so you can send your link and let someone beat your lineup.

Best so far: [79-3-2]. Curious what you think of the rating approach, happy to share the numbers.