Puck Over the Glass
Hockey analysis and occasionally other things but mainly hockey analysis
- Indexed issues, last 90 days
- 3
- Latest publication
- Aug 25, 2026
- Audience
- Checking…
- Earliest in this view
- Aug 11, 2026
Latest issues
The Missing Frame: Interpolating Intermediate Puck Locations in NHL EDGE Animations (opens the original)
Read excerpt
During the 2020 playoffs, the NHL started testing its new puck and player tracking system (PPT), which records puck and player locations via infrared emitting chips in the puck and a chip on each player’s right shoulder.1 Player locations are recorded 12 times a second and the puck location is recorded 60 times a second with an estimated margin of error of about 3 inches. This data has mostly filtered down to the public in aggregated format via the EDGE statistics for skating speed and distance,
Which Public WAR Model Is Most Predictive? (opens the original)
Read excerpt
There’s been a small project bouncing around in my head for a while that I finally knocked out this past weekend: a look at which of the most prominent public WAR (or SPAR) models (Evolving-Hockey, HockeyStats, and LB-Hockey) is the most predictive of future results? It’s not a particularly difficult project, but I think the results are worth sharing for anyone who may be confused about the differences are between the various player cards that get shared on social media or used in articles.<div
Goaltending Is Not Voodoo (opens the original)
Read excerpt
Goaltending is hard to predict. This past season, Dan Vladar, a 28 year old playing more than 30 games for the first time in his career, received Vezina and All-Star votes for the first time in his career, while Connor Hellebuyck, reigning back-to-back Vezina winner and last season’s Hart Trophy winner, was shut out of voting for both post-season awards. Sergei Bobrovsky, back-to-back Stanley Cup champion, posted one of the worst save percentages in the league while his fellow back-to-back Stanl
Publishing over time
Last 90 days. Choose a month to open its work.
Recurring subjects
Named in the text we hold. One piece can cover several.
Audience
No verified audience measurement yet.
About this data
Counts cover the work we have indexed. Tone needs enough text and a confident classification. Excerpts and episode notes are not full articles or transcripts.
Identity or attribution wrong? Suggest a correction.