Estimated Shot Assists for NHL Skaters

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Presentation transcript:

Estimated Shot Assists for NHL Skaters By Alan Wells No credentials Extremely unqualified Department of not even that smart at all donotemailme@gmail.com

Background Shot Assists <- passes that leads to a shot Primary, secondary, tertiary Shot Contributions <- shots + shot assists More predictive of future scoring than points Passing data is not provided by the NHL (get it together over there, c’mon.) Requires hours of manual tracking by volunteers to collect

Questions to be answered in this study: Can we estimate shot assists (and therefore shot contributions) to supplement manual tracking work? If yes: Are estimated shot contributions a good predictor of future scoring for skaters? Are estimated shot assists a good predictor of shooting percentage at the team level? If no: Crushing failure

Approach Identify publicly available stats that could be a proxy for how frequently a player passes the puck 1) On-ice shot per individual shot 2) Assists per individual shot Players who take few shots tally a high number of assists per on-ice shot might be players who pass more frequently.

In-Sample Correlations Boooo! Hissss!!! Get to the good stuff!!! Show us the out-of-sample correlations, you fraud!!!!

More In-Sample Correlations!

Predicting Future Scoring Oh, yea!! That’s what I’m talking about!!! It’s a little bit better!

Predicting Future Primary Scoring Ok, that’s enough scatter plots.

Predicting future scoring In-Season

Team Shot Quality Public data is of little help Manually tracked passing data provides an improvement Can estimated shot assists help? Will shot assists per shot be an indicator of shot quality?

Predicting Shooting Percentage In-Season

Takeaways Estimated shot assists are an effective way of filling gaps in tracked data Estimated shot contributions are better predictors of future scoring than scoring itself Rolled up to a team level, estimated shot assists are a meaningful descriptor of team shot quality

Implementation Use passing data in your player evaluations!!! Seriously We know it’s important We have plenty of evidence If you don’t, I’m judging you Play with incorporating estimated passing data in your xG models Maybe? Idk Shot quality will kill us all

Acknowledgements Ryan Stimson for organizing the passing project Cory Sznajder for being some sort of hockey tracking cyborg Manny Perry and Corsica.Hockey for providing what the NHL won’t. Offsidesreview.com, Naturalstattrick.com Hockey Graphs for editing the original article Stack Overflow for making it so I never have to actually learn or remember anything

Contact alanwells@gmail.com Read me at RawCharge.com Read me at HockeyGraphs.com Follow me @loserpoints