Davidson
2012 Team Stats (3 games)
68.3
PPG
80.7
Opp
-12.3
Margin
39.1%
FG%
30.3%
3P%
77.4%
FT%
31.0
RPG
12.7
APG
11.7
TO
-
Est. poss./game
74.1
Adj PPG
66.3
Adj Opp PPG
#62
Scoring Rank
Model Outputs
2011-2012
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More โ | 1210 (#64) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1198 (#52) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1123 (#33) | HCA +101 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +8.0 (#64) | HCA +3.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +8.5 (#63) | HCA +3.2 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.793 (#40) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.787 (#79) | AdjNet +11.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.789 (#79) | AdjNet +11.4 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.670 (#62) | AdjO 74.1 | AdjD 66.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.670 (#36) | AdjO 73.2 | AdjD 65.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.735 (#54) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. More โ | 0.735 (#49) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More โ | 1186 (#54) | RD 125 | GP 29 |
2012 Schedule & Results
2012 Roster
Minutes by Position
The surface stays filled across the five on-court roles. Use the labels or legend to isolate how each player absorbs guard-to-big minutes.
| Player | Pos | GP | MIN | PTS | REB | AST | STL | BLK | TO | FGA | Numbers | PM | PM GP | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
De'Mon Brooks
|
F | 29 | 22.7 | 15.8 | 6.2 | 0.8 | 1.0 | 0.6 | 1.7 | 3.3 | 19.2 | 190 | 27 | 7.0 | 14.0 | 51.5 | 60.0 | 73.0 | 3.0 | 201.7 | 54.6 |
Jake Cohen
|
F | 29 | 24.9 | 13.9 | 6.3 | 1.4 | 0.7 | 1.6 | 2.1 | 3.7 | 18.1 | 153 | 27 | 5.7 | 10.1 | 54.2 | 43.3 | 93.0 | -0.68 | 159.6 | 60.3 |
J.P. Kuhlman
|
G | 29 | 31.8 | 10.9 | 3.8 | 2.7 | 0.9 | 0.0 | 1.6 | 2.6 | 14.1 | 182 | 27 | 6.7 | 9.3 | 32.0 | 21.4 | 66.7 | -0.22 | 170.9 | 36.0 |
Nik Cochran
|
G | 29 | 30.1 | 10.7 | 2.8 | 3.6 | 1.0 | 0.0 | 1.8 | 2.3 | 14.0 | 259 | 27 | 9.6 | 14.5 | 38.8 | 42.4 | 87.3 | 5.28 | 164.2 | 49.3 |
Chris Czerapowicz
|
G | 29 | 25.2 | 10.2 | 4.9 | 0.7 | 0.2 | 0.3 | 1.1 | 3.5 | 11.8 | 180 | 27 | 6.7 | 12.2 | 44.6 | 35.4 | 61.5 | 1.32 | 138.2 | 55.9 |
Clint Mann
|
F | 28 | 16.1 | 5.6 | 2.9 | 0.5 | 0.6 | 0.3 | 1.3 | 1.4 | 7.4 | 63 | 26 | 2.4 | 7.1 | 55.0 | 0.0 | 61.1 | -2.19 | 164.9 | 55.0 |
Tyler Kalinoski
|
G | 29 | 17.0 | 4.7 | 2.0 | 1.3 | 0.6 | 0.1 | 0.4 | 1.8 | 6.6 | 132 | 27 | 4.9 | 11.9 | 28.8 | 28.2 | 83.3 | 2.27 | 125.4 | 39.4 |
Tom Droney
|
G | 29 | 21.1 | 3.9 | 3.6 | 2.1 | 0.4 | 0.0 | 1.4 | 1.1 | 7.6 | 55 | 27 | 2.0 | 4.1 | 51.6 | 60.0 | 57.1 | -3.05 | 164.3 | 56.5 |
Frank Ben-Eze
|
F | 16 | 6.1 | 1.2 | 1.4 | 0.1 | 0.2 | 0.8 | 0.2 | 0.5 | 3.0 | 29 | 15 | 1.9 | 13.4 | 62.5 | 0 | 0 | 1.75 | 125.0 | 62.5 |
Mason Archie
|
G | 9 | 1.7 | 1.2 | 0.7 | 0.1 | 0.0 | 0.0 | 0.3 | 0.2 | 1.4 | 8 | 9 | 0.9 | 23.5 | 0.0 | 0.0 | 0 | -0.16 | 275.0 | 0.0 |
Clay Tormey
|
- | 9 | 1.7 | 0.6 | 0.2 | 0.1 | 0.1 | 0.0 | 0.0 | 0.0 | 1.0 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Will Reigel
|
F | 29 | 6.8 | 0.5 | 1.2 | 0.4 | 0.1 | 0.0 | 0.3 | 0.1 | 1.8 | -14 | 27 | -0.5 | -3.3 | 33.3 | 0 | 0 | -5.88 | 250.0 | 33.3 |
A.J. Atkinson
|
G | 12 | 2.5 | 0.4 | 0.5 | 0.1 | 0.0 | 0.0 | 0.2 | 0.0 | 0.8 | 1 | 11 | 0.1 | 1.5 | 0 | 0 | 0 | -1.32 | 0 | 0 |
Ali Mackay
|
F | 10 | 1.9 | 0.2 | 0.6 | 0.1 | 0.1 | 0.0 | 0.1 | 0.1 | 0.8 | 16 | 8 | 2.0 | 41.7 | 0.0 | 0.0 | 0 | 1.0 | 100.0 | 0.0 |
Youssef Mejri
|
- | 8 | 1.8 | 0.0 | 0.1 | 0.2 | 0.0 | 0.1 | 0.1 | 0.2 | 0.1 | - | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
Numbers/Game vs RAPM
X-axis = Numbers/Game (PTS+REB+AST+STL+BLK-TO-FGA), Y-axis = RAPM.
Advanced: Numbers = PTS+REB+AST+STL+BLK-TO-FGA, PM = total +/-, PM/G = per game, PM/40 = per 40 minutes, RAPM = Regularized Adj Plus-Minus, TS% = True Shooting, eFG% = Effective FG