I’ll let SABR describe the overall concept far better than I can, but for our purposes, sabermetrics will attempt to paint a better picture of Georgia Tech’s performances than traditional box score statistics.
The metrics I’ve chosen to follow this season aim to accomplish three goals:
- Focus on outcomes that have the most affect on win probability
- Isolate the individual player’s performance from the rest of the team’s performance, thus increasing the “signal to noise ratio” of the information gleaned from the stats
- Predict whether or not a player’s traditional statistics will regress(Either positively or negatively)
Many of these stats will be normalized based on league averages.