I've updated the formula slightly* since I wrote the essay for the College Basketball Prospectus preview this year. Offensive Ratings, usage, and strength of schedule all from kenpom.com.
Offensive impact estimates how much a player's contributions (by usage & efficiency) impact his team's offense above average (i.e. a +13 player would make an average team score 1.13 PPP, if the league average was 1 PPP).
| Player | Team | Year | ORTG | %USG | adjusted Offensive Impact | |
|---|---|---|---|---|---|---|
| 1 | Marcus Denmon | Missouri | Sr | 143.3 | 24.2 | 13.0 |
| 2 | Damian Lillard | Weber St. | Jr | 125.7 | 31.7 | 12.8 |
| 3 | Steven Pledger | Oklahoma | Jr | 146.5 | 21.7 | 11.9 |
| 4 | Darius Johnson-Odom | Marquette | Sr | 134.7 | 25.1 | 11.7 |
| 5 | Ricardo Ratliffe | Missouri | Sr | 142.9 | 22.5 | 11.6 |
| 6 | Doug McDermott | Creighton | So | 127.2 | 28.7 | 11.6 |
| 7 | Anthony Drmic | Boise St. | Fr | 135.4 | 24.2 | 11.0 |
| 8 | Trae Golden | Tennessee | So | 122.6 | 30.5 | 11.0 |
| 9 | Tahj Tate | Delaware St. | Fr | 120.8 | 31.2 | 10.9 |
| 10 | Justin Edwards | Maine | Fr | 130.2 | 25.9 | 10.8 |
I expect more Major-Conference heavy hitters to top this list soon. We've all taken the oath of small sample sizes here, right?
I don't feel comfortable sharing more than the top-10 because many players with Top-50 Offensive Impact numbers are cut out by not having high enough Offensive Ratings (for example: Jordan Taylor, at least at the moment) to be grouped on Pomeroy's site. But I don't have the time to input every NCAA player manually.
*Math:
The coefficients for ORTG, Usage, and ORTG*Usage are still the same, but I used a more theory-based adjustment for strength of schedule. Also I added a term that helps predict team ORTG better (the numbers were too small so each player gets boosted by 1ish).
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