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The evolution of hockey statistics – an ongoing story Bruce McCurdy Analytics, Big Data, and the Cloud 2012 April 25

The evolution of hockey statistics – an ongoing story

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The evolution of hockey statistics – an ongoing story. Bruce McCurdy Analytics, Big Data, and the Cloud 2012 April 25. Traditional game summaries. 1967-68 Plus/minus formally introduced, as well as individual shots on goal / Shooting %. 1983-84 Goaltender save percentage added. Grant Fuhr. - PowerPoint PPT Presentation

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Page 1: The evolution of hockey statistics  – an ongoing story

The evolution of hockey statistics – an ongoing story

Bruce McCurdyAnalytics, Big Data, and the Cloud2012 April 25

Page 2: The evolution of hockey statistics  – an ongoing story
Page 3: The evolution of hockey statistics  – an ongoing story

Traditional game summaries

Page 4: The evolution of hockey statistics  – an ongoing story

1967-68 Plus/minus formally introduced, as well as individual shots on goal / Shooting %

Page 5: The evolution of hockey statistics  – an ongoing story

1983-84 Goaltender save percentage added

Grant Fuhr

Grant Fuhr

Page 6: The evolution of hockey statistics  – an ongoing story

1998-99 Time on ice published, opening the door for rate stats

Chris Pronger

Page 7: The evolution of hockey statistics  – an ongoing story

1998: NHL introduces Zone Time

… but turfs it in 2002. Why?!

Page 8: The evolution of hockey statistics  – an ongoing story

1998: NHL starts to (sporadically) maintain Real Time Scoring System (RTSS)

Page 9: The evolution of hockey statistics  – an ongoing story

…but there remain huge problems due to lack of standardization & rink bias

Oilers have twice as many giveaways as Florida … or do they?

Page 10: The evolution of hockey statistics  – an ongoing story

• Ranking of teams’ RTSS home and away yields results that might as well be randomized for giveaways and takeaways, and very nearly so for hits and blocked shots.

• Whereas the same exercise for Goals For yields a crudely similar ordering home to away.

• Significant home scorer bias in turnover stats. 45% more giveaways and 33% more takeaways by home teams league-wide!

• As a result RTSS is highly unreliable, serving to rank players within a given team but almost useless for comparing players from different clubs.

Page 11: The evolution of hockey statistics  – an ongoing story

2002-03: NHL introduces play-by-play reports

… though problems remain with accuracy of some data, e.g. shot distance

Page 12: The evolution of hockey statistics  – an ongoing story

“Stripping” of PxP data allows detailed on-ice analysis of individual playersEven-strength shots / Fenwick / Corsi from timeonice.com

Page 13: The evolution of hockey statistics  – an ongoing story

Head-to-head match-ups (timeonice.com)

Page 14: The evolution of hockey statistics  – an ongoing story

Customizable, sortable stats from behindthenet.ca

Available stats: Even strength / powerplay / shorthandedScoring per 60 minutesOn/off ice plus/minus per 60On/off ice shots / Fenwick / Corsi per 60On-ice Sh% / Sv% / PDOQualComp / QualTeamPenalties drawn / takenZoneStart / ZoneFinish

Page 15: The evolution of hockey statistics  – an ongoing story

• Many stats need to be parsed in terms of positive / negative /neutral game states, e.g.:

• Leading / trailing / tied (score effects are HUGELY important)

• PP / PK / EV • O-zone / D-zone / neutral zone

• Taken in isolation without context, modern stats will be distorted; e.g. “soft minutes” players used in offensive situations should be expected to have positive numbers in things like Relative Corsi

Page 16: The evolution of hockey statistics  – an ongoing story

"A chance is counted any time a team directs a shot cleanly on-net from within home-plate. Shots on goal and misses are counted, but blocked shots are not (unless the

player who blocks the shot is “acting like a goaltender”). Generally

speaking, we are more generous with the boundaries of home-plate if there is dangerous puck movement immediately preceding the scoring chance, or if the scoring chance is

screened. If you want to get a visual handle on home-plate,

check this image."

Scoring chances

Page 17: The evolution of hockey statistics  – an ongoing story
Page 18: The evolution of hockey statistics  – an ongoing story

One weakness to the current method is that “home plate” isn’t best template for scoring area

Another is that scoring chances are just 1’s and 0’s – no extra weight for first class chances as suggested by heat map colour coding

Page 19: The evolution of hockey statistics  – an ongoing story

Actually, scoring areas …which vary for different types of shots and manpower situations.

Scoring chance model is greatly simplified from this reality.

Page 20: The evolution of hockey statistics  – an ongoing story

Common SC errors and outcomes• NHL data doesn’t properly record on-ice players• +1 or -1 for selected players• Scoring chance improperly credited (or missed)• +1 or -1 for 10 players• Scoring chance recorded at wrong game time• +1 or -1 for up to 20 players• Scoring chance recorded but for wrong team• +2 or -2 for 10 players

Page 21: The evolution of hockey statistics  – an ongoing story

Neilson Numbers

• Based on ideas of Roger Neilson• Assignment of individual responsibility on scoring chances for and

against• Requires an extra degree of qualitative judgement over and above

deciding whether a scoring chance has occurred• Eliminates false positives/negatives, however individual numbers

don’t reconcile to team totals• Fewer recording errors than on-ice scoring chances as players are

identified as part of the process• Same system can be used to assign unofficial assists on GF or errors

on GA• Reliant on a knowledgeable scorer, but as with other scoring chance

systems, would work better if 3 or 5 scorers worked independently, then pooled results.

Page 22: The evolution of hockey statistics  – an ongoing story

Sample box:

Page 23: The evolution of hockey statistics  – an ongoing story

Zone Start:fad or trend?

Page 24: The evolution of hockey statistics  – an ongoing story

Possession• “Hockey is a transition game: offense to defense, defense

to offense, one team to another. Hundreds of tiny fragments of action, some leading somewhere, most going nowhere. Only one thing is clear. A fragmented game must be played in fragments. Grand designs do not work. … Before offense turns to defense, or defense to offense, there is a moment of disequilibrium when a defense is vulnerable, when a game’s sudden, unexpected swings can be turned to advantage. It is what you do at this moment, when possession changes, that makes the difference.”

• – Ken Dryden, The Game

Page 25: The evolution of hockey statistics  – an ongoing story

• “It is noteworthy that in general … our teamwork was considerably above our main contenders. In the game against the Canadian team, the players of the USSR squad made 110 passes, while the Canadians made 60 passes; in the game against Czechoslovakia we made 106 passes, they made 70; in the game against Sweden we made 49 more passes than they did. … This is an indication of quite stable habits and a high culture of playing, a correct understanding of the game by the Soviet players.”

• -- Anatoli Tarasov, Road to Olympus

Page 26: The evolution of hockey statistics  – an ongoing story

Good pass: plus. Bad pass: minus.

Good clearance: plus. Bad clearance: minus.

Good rush: plus. Bad rush: minus.

Good shoot in: plus. Bad shoot in: minus.

Tarasov Numbers

Page 27: The evolution of hockey statistics  – an ongoing story

…and many more advanced ideas

• Goals Versus Threshold (GVT)• Defence Independent Goalie Rating (DIGR)• Shot Quality (SQF / SQA)• Preditcted Goals Scored (PGS)• Zone Start Adjusted Corsi (ZSAC)• Etc. …• No time to do them all justice here• Thanks for listening!