The Home of Advanced Basketball Analytics

Teammate Net Impact

Find out how each player since 1996-97 has impacted their teammate’s on-court NET, ORTG & DRTG.

Player Profiles

Gain access to 320,000+ unique player seasons from over 180 different leagues, events and tournaments.

Luck-Adjusted Lineups

Sort through all 5-man lineups in the NBA since 1996-97 to find how different lineups performed over time.

Global PIPM

Find Player Impact Plus-Minus complete records for over 180 different leagues and tournaments.

What is Player Impact Plus-Minus?

Player Impact Plus-Minus (PIPM for short) is a plus-minus impact metric that combines luck-adjusted plus-minus data with the value of the boxscore and a handful of interaction terms to estimate a player’s value over the course of a season.

The goal of any good metric is not just to measure what a player has done, but to be able to predict how they will perform in the future. This is where older metrics, like PER and Win Shares, struggle to maintain relevance. Statistical plus-minus metrics, such as the popular Box Plus-Minus, which only use box-score information improve in this regard, but can struggle mightily on the defensive end. Newer plus-minus metrics, such as Real Plus-MinusRegularized Adjusted Plus-Minus and player-tracking metrics, such as Player Tracking Plus-Minus, are the current benchmarks for publicly available metrics. They both can describe what a player has done and are predictive of future results.

The main feature of PIPM that differentiates it from other more advanced metrics is the inclusion of luck-adjusted plus-minus data, which uses a methodology designed by Nathan Walker. In short, his methodology uses more statistically predictive factors of a team’s offensive and defensive rating (points scored or allowed per 100 possessions) to estimate what the team’s ORTG or DRTG should be without the variance that some statistics have. The most clear example of this variance comes from opponent 3P%, which a team has relatively limited control over but can drastically shift how a team looks in raw ORTG and DRTG.

Using these luck-adjusted plus-minus values as an input, along with the boxscore, PIPM is one of the most accurate publicly available impact metrics in terms of predicting future results.

For seasons prior to 1997-98, the first in which plus-minus data is available league-wide, an estimate of on-off data is calculated using simple interaction terms. This simple interaction adds a great deal of accuracy for earlier seasons without the typical downfall of statistics interacting outside of the training set of data in ways they were not intended to.

The final portion of Player Impact Plus-Minus is converting the per 100 possession estimates of value into a cumulative Wins Added based off playing time. This is done using a typical Pythagorean wins estimate with an exponent of 13.98. Replacement level for the league is set at a PIPM of approximately -2.3, below average but in basketball there are often below average players on the court who still help their teams more than hurt.

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