Date post: | 30-Mar-2018 |
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Defense: (1) Contest+ (2) Keep in Front % (3) Total TO Forced Per Chance (4) Pressure Rate (5) Points Allowed Per Screen (6) Points Allowed Per Help/Double (7) Close Out Points Allowed
Offense: (1) Points Per Chance (2) Contest+ FG% (3) Touches Per Chance (4) Assist+ (5) True Facilitation (6) Received Screen Outcome Efficiency (7) Set Screen Points Per Chance (8) OReb+ (9) Blockout Rate
Defense: (2) Keep in Front %
- Percentage of drive attempts where player
keeps himself between the basket and the offensive player
- NBA mean/median: 51%/53%
Defense: (3) Total TO Forced Per Chance
- Number of forced turnovers including steals, deflections to steal, defensive loose balls possessed, offensive fouls taken, pressures to turnover and blocks to possession
Defense: (4) Pressure Rate
- Number of pressures applied per 100
defensive chances
- NBA mean/median: 3.3/2.9
Defense: (6) Points Allowed Per Help/Double
- Number of points allowed per help attempt and number of points allowed per double team attempt
Offense: (1) Points Per Chance
- Scoring efficiency number normalized by the amount of offensive “chances” - Isolates positive/negative effect of rebounding on PPP
Offense: (2) Contest+ FG%
- NBA mean - 31.1% - NBA median – 34.2%
Tony Allen – 26.7% Kemba Walker – 28% Tim Duncan – 45.5% Al Jefferson – 45.5%
Offense: (4) Assist+
- Assists, passes to missed non-contested
shots, passes to shooting fouls, crucial passes leading to Assist, missed open or crucial pass
- Solves problem of narrow definition of Assist
Offense: (5) True Facilitation
- Passes to non-contested shots (made or missed)
- Solves problem of expansive definition of
Assist
Using the Building Blocks to Evaluate Facilitators
Assist Numbers for Michael Carter-Williams, Trey Burke, and Phil Pressey: Michael Carter-Williams: 7.3 Phil Pressey: 7.1 Trey Burke: 6.7
True Facilitation
Trey Burke: 3.05 (#1 in TF) Phil Pressey: 2.2 (#2 in TF) Michael Carter-Williams: .738 (#23 in TF)
Offense: (6) Received Screen Outcome Efficiency - Percentage of screens received where player produces “positive” outcome (score, assist+, shooting foul)
Analysis using a Bootstrapped Regression verified that screens are significant predictors of Offensive Efficiency (present in at least 70% of models built). Across the models they were presented with a relative importance as follows: Set Screens Points Per Chance - .92 Screens Received Per Chance - .82
Offense: (8) OReb+
- Includes rebounds, tips to possession and fouls drawn while attempting rebound - Normalized per chance or per rebound opportunity
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