<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title><![CDATA[The Hockey Analytics]]></title><description><![CDATA[Hockey analytics research and The Brief product updates from The Hockey Analytics.]]></description><link>https://thehockeyanalytics.com/</link><language>en-us</language><item><title><![CDATA[SHL clubs beat coaches: returning cores win, age does not, and 2026/27 still looks like last year’s top four]]></title><link>https://thehockeyanalytics.com/posts/shl-coach-roster-continuity-2026</link><guid>https://thehockeyanalytics.com/posts/shl-coach-roster-continuity-2026</guid><description><![CDATA[52 SHL team-seasons. Roster continuity correlates 0.32 with points share; mean age does not. Coaching changes barely move the needle. We cannot rank 20 years of GMs from available staff data. A transparent prior for 2026/27: Frölunda, Växjö, Skellefteå, Rögle.]]></description><pubDate>Tue, 01 Sep 2026 12:00:00 GMT</pubDate></item><item><title><![CDATA[SHL timeout sequel: Färjestad hammers the button, Växjö barely touches it]]></title><link>https://thehockeyanalytics.com/posts/shl-timeouts-by-club</link><guid>https://thehockeyanalytics.com/posts/shl-timeouts-by-club</guid><description><![CDATA[Part 3 of the timeout study — which SHL clubs used the 30-second break over five seasons. HV71 in half their games, Växjö in 23%. Timrå and Örebro mostly press it while trailing; Malmö and HV71 do not.]]></description><pubDate>Mon, 31 Aug 2026 11:00:00 GMT</pubDate></item><item><title><![CDATA[SHL referees are not interchangeable: penalty rates for 23 officials over five seasons]]></title><link>https://thehockeyanalytics.com/posts/shl-referee-penalty-rates-five-seasons</link><guid>https://thehockeyanalytics.com/posts/shl-referee-penalty-rates-five-seasons</guid><description><![CDATA[Same 1,854 SHL regular-season games as our timeout study. League average 5.52 penalties per game. Among officials with 150+ assignments, Tobias Björk sits at 5.82 and Johan Wedin at 4.94. First public cut at the “referees are noise” claim — assignment rates, not who-called-it.]]></description><pubDate>Mon, 31 Aug 2026 10:00:00 GMT</pubDate></item><item><title><![CDATA[SHL timeout sequel: the coaches who never leave it in the pocket]]></title><link>https://thehockeyanalytics.com/posts/shl-timeouts-coaches-who-use-it-most</link><guid>https://thehockeyanalytics.com/posts/shl-timeouts-coaches-who-use-it-most</guid><description><![CDATA[Part 2 of our timeout study — which SHL coaches used the 30-second break most over five seasons, the quiet 2021/22 dip, and why the empty-net gamble still looks like a bad lottery ticket.]]></description><pubDate>Fri, 28 Aug 2026 10:00:00 GMT</pubDate></item><item><title><![CDATA[Do SHL Timeouts Actually Work? What 1,303 Coach's Timeouts Over 5 Seasons Reveal]]></title><link>https://thehockeyanalytics.com/posts/shl-timeouts-analysis-5-seasons</link><guid>https://thehockeyanalytics.com/posts/shl-timeouts-analysis-5-seasons</guid><description><![CDATA[No hockey knowledge needed. We looked at every timeout coaches used in Sweden's top hockey league over five seasons (1,303 of them). Almost all are used late, by a team that is losing, to set up one last desperate gamble — and it rarely works. Explained in plain language, with simple charts.]]></description><pubDate>Wed, 26 Aug 2026 00:00:00 GMT</pubDate></item><item><title><![CDATA[Not all SHL clubs develop juniors the same — three seasons of JITS%]]></title><link>https://thehockeyanalytics.com/posts/shl-jits-junior-ice-time-share-three-seasons</link><guid>https://thehockeyanalytics.com/posts/shl-jits-junior-ice-time-share-three-seasons</guid><description><![CDATA[Junior ice-time share (JITS%) across SHL grundserie 2023/24–2025/26. Skellefteå averages 14.7% U20 skater TOI; Färjestad 2.5%. Same league, very different development bets.]]></description><pubDate>Wed, 12 Aug 2026 10:00:00 GMT</pubDate></item><item><title><![CDATA[SDHL got calmer: how penalty minutes quietly fell off a cliff]]></title><link>https://thehockeyanalytics.com/posts/sdhl-penalty-minutes-ot-trend</link><guid>https://thehockeyanalytics.com/posts/sdhl-penalty-minutes-ot-trend</guid><description><![CDATA[Average PIM per SDHL game dropped from about 21 in 2016/17 toward the low teens — while overtime nights bounced back. A short jubilee read on a league that stopped living in the box.]]></description><pubDate>Tue, 28 Jul 2026 10:00:00 GMT</pubDate></item><item><title><![CDATA[SDHL hat-tricks, 8–0 rivalries, and the nights that went completely off the rails]]></title><link>https://thehockeyanalytics.com/posts/sdhl-hat-tricks-rivalries-goal-fests</link><guid>https://thehockeyanalytics.com/posts/sdhl-hat-tricks-rivalries-goal-fests</guid><description><![CDATA[From the SDHL jubilee export: who piles up hat-tricks, which matchups are one-way streets, and the 3–13 scorelines nobody wants on a highlight reel.]]></description><pubDate>Wed, 22 Jul 2026 10:00:00 GMT</pubDate></item><item><title><![CDATA[SDHL home ice is barely an edge — and imports score more than their roster share]]></title><link>https://thehockeyanalytics.com/posts/sdhl-home-ice-imports-jubilee-rates</link><guid>https://thehockeyanalytics.com/posts/sdhl-home-ice-imports-jubilee-rates</guid><description><![CDATA[Across 1,764 SDHL games in our jubilee export, home teams win 51.9% and 36% of games are decided by one goal. Foreign players are ~40% of the roster but score 62.4% of goals. Data-backed, not vibes.]]></description><pubDate>Wed, 15 Jul 2026 10:00:00 GMT</pubDate></item><item><title><![CDATA[GSAX in Conference Finals 2026: separating true goaltender talent from hot-streak variance]]></title><link>https://thehockeyanalytics.com/posts/conference-finals-2026-gsax-goaltender-talent-vs-variance</link><guid>https://thehockeyanalytics.com/posts/conference-finals-2026-gsax-goaltender-talent-vs-variance</guid><description><![CDATA[Goals Saved Above Expected (GSAX) is the metric that separates genuine Conference Finals goaltending performance from shot-quality-driven variance. Here is how to read it and what the 2026 numbers mean.]]></description><pubDate>Wed, 24 Jun 2026 00:00:00 GMT</pubDate></item><item><title><![CDATA[Conference Finals 2026 forward line matching: how coaches deploy top lines against elite opposition]]></title><link>https://thehockeyanalytics.com/posts/conference-finals-2026-forward-line-matching-top-line-deployment</link><guid>https://thehockeyanalytics.com/posts/conference-finals-2026-forward-line-matching-top-line-deployment</guid><description><![CDATA[Line matching strategy, deployment data, and forward matchup analytics for Conference Finals 2026. How coaches use zone starts, last-change advantage, and TOI to control which lines face which.]]></description><pubDate>Sat, 30 May 2026 09:00:00 GMT</pubDate></item><item><title><![CDATA[Conference Finals 2026 Possession Breakdown: 5-on-5 Corsi and xG for Each Matchup]]></title><link>https://thehockeyanalytics.com/posts/conference-finals-2026-possession-breakdown-corsi-xg-matchups</link><guid>https://thehockeyanalytics.com/posts/conference-finals-2026-possession-breakdown-corsi-xg-matchups</guid><description><![CDATA[5-on-5 Corsi and expected goals data for all four Conference Finals 2026 teams — Carolina, Montreal, Vegas, and Colorado. Which matchups were possession contests and which were goaltender-driven variance games?]]></description><pubDate>Thu, 28 May 2026 09:00:00 GMT</pubDate></item><item><title><![CDATA[Conference Finals 2026 Power Play and Penalty Kill: Which Teams Convert Pressure Into Goals and Which Collapse Under It]]></title><link>https://thehockeyanalytics.com/posts/conference-finals-2026-power-play-penalty-kill-pp-pk-efficiency</link><guid>https://thehockeyanalytics.com/posts/conference-finals-2026-power-play-penalty-kill-pp-pk-efficiency</guid><description><![CDATA[PP% is a lagging indicator. Zone entry rate on the power play and back-to-back PK goals are the leading signals that actually predict Conference Finals outcomes. Here is the 2026 data for all four teams.]]></description><pubDate>Thu, 28 May 2026 09:00:00 GMT</pubDate></item><item><title><![CDATA[Power play deployment analytics in NHL Conference Finals 2026]]></title><link>https://thehockeyanalytics.com/posts/conference-finals-2026-power-play-deployment-analytics</link><guid>https://thehockeyanalytics.com/posts/conference-finals-2026-power-play-deployment-analytics</guid><description><![CDATA[PP deployment data, zone entry types, and unit construction for Conference Finals 2026. Why deployment volume and controlled entry rate predict power play performance better than PP% alone.]]></description><pubDate>Thu, 28 May 2026 00:00:00 GMT</pubDate></item><item><title><![CDATA[5v5 possession when trailing in Conference Finals 2026: how teams chase games and what the data shows]]></title><link>https://thehockeyanalytics.com/posts/conference-finals-2026-5v5-possession-trailing-score-effects-chase-game</link><guid>https://thehockeyanalytics.com/posts/conference-finals-2026-5v5-possession-trailing-score-effects-chase-game</guid><description><![CDATA[Trailing-state 5v5 analytics for Conference Finals 2026 — xGF% when behind, offensive zone time recovery, and which teams can actually chase games versus which ones collapse structurally under score pressure.]]></description><pubDate>Wed, 27 May 2026 09:00:00 GMT</pubDate></item><item><title><![CDATA[Offensive Zone Entry Methods in Round 2 2026: Carry-Ins vs Dump-and-Chase by Conference Semifinal Team]]></title><link>https://thehockeyanalytics.com/posts/zone-entry-methods-round-2-2026-carry-ins-vs-dump-chase</link><guid>https://thehockeyanalytics.com/posts/zone-entry-methods-round-2-2026-carry-ins-vs-dump-chase</guid><description><![CDATA[Zone entry data through the first three games of the 2026 Conference Semifinals reveals a clear split: Edmonton leads all teams at 57% carry-in rate while Boston operates at 64% dump-in. Here is what the data shows and what it means for each series.]]></description><pubDate>Sun, 10 May 2026 09:00:00 GMT</pubDate></item><item><title><![CDATA[Defensive Zone Exits in Round 2: Which Conference Semifinal Teams Are Breaking Pucks Out Cleanly?]]></title><link>https://thehockeyanalytics.com/posts/zone-exits-round-2-2026-conference-semifinal-breakout-analysis</link><guid>https://thehockeyanalytics.com/posts/zone-exits-round-2-2026-conference-semifinal-breakout-analysis</guid><description><![CDATA[Zone exits determine who controls the game in May hockey. Here is how all eight Conference Semifinal teams are breaking out under forecheck pressure — with controlled exit rates, failed exit analysis, and team-by-team breakdowns.]]></description><pubDate>Sat, 09 May 2026 09:00:00 GMT</pubDate></item><item><title><![CDATA[Norris Trophy 2026: Dahlin vs. Makar vs. Werenski Through a Defensive Lens]]></title><link>https://thehockeyanalytics.com/posts/norris-trophy-2026-dahlin-makar-werenski-defensive-impact</link><guid>https://thehockeyanalytics.com/posts/norris-trophy-2026-dahlin-makar-werenski-defensive-impact</guid><description><![CDATA[The Norris Trophy conversation defaults to points, but the award is for greatest all-round ability. Here is how Makar, Dahlin, and Werenski compare on the defensive side using 5v5 rate metrics, zone entry prevention, and defensive GAR.]]></description><pubDate>Fri, 08 May 2026 09:00:00 GMT</pubDate></item><item><title><![CDATA[Colorado Avalanche’s Record Is a Mirage — Here’s What Coaches Should Watch]]></title><link>https://thehockeyanalytics.com/posts/nhl-regression-down-col-2026-04-09</link><guid>https://thehockeyanalytics.com/posts/nhl-regression-down-col-2026-04-09</guid><description><![CDATA[Colorado’s 72.7% points pace hides a 13.2-point overperformance. Coaches: here’s what the standings don’t show.]]></description><pubDate>Thu, 09 Apr 2026 09:00:00 GMT</pubDate></item><item><title><![CDATA[Colorado Avalanche’s Record Hides a Dangerous Trend Beneath]]></title><link>https://thehockeyanalytics.com/posts/nhl-regression-down-col-2026-04-07</link><guid>https://thehockeyanalytics.com/posts/nhl-regression-down-col-2026-04-07</guid><description><![CDATA[Colorado’s 72.4% points pace outpaces their 59.4% goal share by 13.0 points — a red flag for coaches.]]></description><pubDate>Tue, 07 Apr 2026 09:00:00 GMT</pubDate></item><item><title><![CDATA[Vancouver Canucks Is Due for a Turnaround – The Numbers Say So]]></title><link>https://thehockeyanalytics.com/posts/nhl-regression-up-van-2026-04-02</link><guid>https://thehockeyanalytics.com/posts/nhl-regression-up-van-2026-04-02</guid><description><![CDATA[Vancouver Canucks have a 40.8% goal share but only a 35.1% points pace. A 5.7-point gap signals an imminent turnaround. Coaches: trust the process.]]></description><pubDate>Thu, 02 Apr 2026 09:00:00 GMT</pubDate></item><item><title><![CDATA[Vancouver Canucks Are Due for a Turnaround – The Numbers Say So]]></title><link>https://thehockeyanalytics.com/posts/nhl-regression-up-van-2026-03-31</link><guid>https://thehockeyanalytics.com/posts/nhl-regression-up-van-2026-03-31</guid><description><![CDATA[Vancouver's 40.3% goal share vs. 34.2% points pace shows a 6.1-point gap — one of the widest in the league. History says this won’t last.]]></description><pubDate>Tue, 31 Mar 2026 09:00:00 GMT</pubDate></item><item><title><![CDATA[NHL Analytics Metrics Explained: xG, Corsi, Fenwick and What They Actually Mean]]></title><link>https://thehockeyanalytics.com/posts/nhl-analytics-metrics-explained-xg-corsi-fenwick</link><guid>https://thehockeyanalytics.com/posts/nhl-analytics-metrics-explained-xg-corsi-fenwick</guid><description><![CDATA[A complete guide to the most important NHL analytics metrics — expected goals, Corsi, Fenwick, GSAX, and how teams use data to gain competitive edges. Understand what the numbers really tell you.]]></description><pubDate>Mon, 30 Mar 2026 10:00:00 GMT</pubDate></item><item><title><![CDATA[Colorado Avalanche’s Record Is Outpacing Their Performance]]></title><link>https://thehockeyanalytics.com/posts/nhl-regression-down-col-2026-03-26</link><guid>https://thehockeyanalytics.com/posts/nhl-regression-down-col-2026-03-26</guid><description><![CDATA[Colorado Avalanche have a 74.3% points pace but only 59.8% goal share — a 14.5-point gap. Coaches should be concerned.]]></description><pubDate>Thu, 26 Mar 2026 09:00:00 GMT</pubDate></item><item><title><![CDATA[Vancouver Canucks Are Due for a Turnaround – The Numbers Say So]]></title><link>https://thehockeyanalytics.com/posts/nhl-regression-up-van-2026-03-23</link><guid>https://thehockeyanalytics.com/posts/nhl-regression-up-van-2026-03-23</guid><description><![CDATA[Vancouver's 41.1% goal share vs. 36.2% points pace shows a team underperforming. History says regression is coming.]]></description><pubDate>Mon, 23 Mar 2026 09:00:00 GMT</pubDate></item><item><title><![CDATA[Zone Entry Efficiency: A Statistical Analysis of Modern Hockey Tactics]]></title><link>https://thehockeyanalytics.com/posts/zone-entry-efficiency-research</link><guid>https://thehockeyanalytics.com/posts/zone-entry-efficiency-research</guid><description><![CDATA[Comprehensive research examining the correlation between zone entry methods and goal-scoring probability across professional hockey leagues.]]></description><pubDate>Fri, 17 Jan 2025 13:15:00 GMT</pubDate></item><item><title><![CDATA[Evaluating Player Performance: A Comprehensive Statistical Framework]]></title><link>https://thehockeyanalytics.com/posts/spelarprestationsanalys</link><guid>https://thehockeyanalytics.com/posts/spelarprestationsanalys</guid><description><![CDATA[Methodological approach to player assessment using Expected Goals models, possession metrics, and advanced statistical techniques in professional hockey.]]></description><pubDate>Fri, 22 Nov 2024 09:30:00 GMT</pubDate></item><item><title><![CDATA[Enterprise Data Pipeline for Hockey Analytics - Infrastructure Overview]]></title><link>https://thehockeyanalytics.com/posts/data-pipeline-hockey</link><guid>https://thehockeyanalytics.com/posts/data-pipeline-hockey</guid><description><![CDATA[An in-depth look at how The Hockey Analytics builds and maintains automated data pipelines to deliver real-time hockey analytics at enterprise scale.]]></description><pubDate>Fri, 08 Nov 2024 14:00:00 GMT</pubDate></item><item><title><![CDATA[Hockey Recruitment with Machine Learning]]></title><link>https://thehockeyanalytics.com/posts/ml-rekrytering-hockey</link><guid>https://thehockeyanalytics.com/posts/ml-rekrytering-hockey</guid><description><![CDATA[How advanced ML models help identify undervalued talent and optimize the recruitment process through data-driven scouting.]]></description><pubDate>Tue, 15 Oct 2024 10:00:00 GMT</pubDate></item></channel></rss>