Davidson
2013 Team Stats (3 games)
58.7
PPG
66.3
Opp
-7.7
Margin
35.4%
FG%
28.0%
3P%
75.0%
FT%
34.7
RPG
10.7
APG
13.0
TO
-
Est. poss./game
70.0
Adj PPG
62.3
Adj Opp PPG
#67
Scoring Rank
Model Outputs
2012-2013
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 | 1279 (#43) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1165 (#63) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1160 (#12) | HCA +102 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +7.7 (#71) | HCA +3.1 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +9.9 (#51) | HCA +3.2 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.863 (#18) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.805 (#70) | AdjNet +12.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.809 (#70) | AdjNet +12.4 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.667 (#67) | AdjO 70.0 | AdjD 62.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.722 (#17) | AdjO 70.2 | AdjD 59.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.765 (#49) | 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 | 0.775 (#39) | 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 | 1201 (#53) | RD 120 | GP 33 |
2013 Schedule & Results
2013 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jake Cohen
|
F | 34 | 25.6 | 14.9 | 5.3 | 1.5 | 0.7 | 1.6 | 1.7 | 2.4 | 19.9 | 226 | 25 | 9.0 | 15.4 | 50.6 | 38.1 | 75.8 | 3.55 | 260.5 | 55.4 |
De'Mon Brooks
|
F | 34 | 27.0 | 13.7 | 6.2 | 0.8 | 0.9 | 0.6 | 1.9 | 2.2 | 18.0 | 210 | 25 | 8.4 | 13.6 | 43.4 | 18.2 | 75.0 | 2.71 | 244.9 | 44.7 |
Nik Cochran
|
G | 34 | 30.9 | 9.9 | 2.4 | 3.3 | 0.8 | 0.0 | 1.9 | 0.9 | 13.7 | 185 | 25 | 7.4 | 10.7 | 51.7 | 35.7 | 93.3 | -1.51 | 398.1 | 60.3 |
Chris Czerapowicz
|
G | 34 | 25.7 | 9.1 | 5.0 | 0.5 | 0.4 | 0.2 | 0.5 | 1.9 | 12.7 | 250 | 25 | 10.0 | 16.4 | 37.9 | 36.7 | 70.0 | 4.55 | 219.5 | 46.2 |
J.P. Kuhlman
|
G | 31 | 29.5 | 8.0 | 2.7 | 3.6 | 0.9 | 0.0 | 1.5 | 1.1 | 12.5 | 208 | 22 | 9.5 | 14.5 | 41.2 | 33.3 | 76.5 | 1.78 | 297.7 | 47.1 |
Tyler Kalinoski
|
G | 34 | 22.6 | 7.6 | 2.8 | 1.6 | 0.7 | 0.0 | 1.1 | 1.4 | 10.3 | 137 | 25 | 5.5 | 10.4 | 34.7 | 31.7 | 75.0 | 0.04 | 224.0 | 48.0 |
Clint Mann
|
F | 18 | 18.8 | 6.9 | 2.8 | 0.9 | 0.9 | 0.5 | 1.2 | 1.6 | 9.3 | 0 | 13 | 0.0 | 0.0 | 32.1 | 20.0 | 100.0 | -2.29 | 211.5 | 33.9 |
Tom Droney
|
G | 34 | 21.5 | 4.2 | 2.9 | 2.1 | 0.6 | 0.1 | 0.8 | 0.8 | 8.5 | 93 | 25 | 3.7 | 8.2 | 50.0 | 11.1 | 93.3 | -1.7 | 220.9 | 51.9 |
Jordan Barham
|
G | 26 | 5.2 | 2.2 | 1.4 | 0.1 | 0.1 | 0.0 | 0.3 | 0.3 | 3.2 | -3 | 19 | -0.2 | -1.2 | 50.0 | 0.0 | 80.0 | -2.81 | 274.5 | 50.0 |
Jake Belford
|
F | 19 | 3.8 | 0.7 | 0.6 | 0.2 | 0.0 | 0.1 | 0.5 | 0.1 | 1.1 | -18 | 15 | -1.2 | -15.4 | 0.0 | 0.0 | 0 | -3.4 | 700.0 | 0.0 |
Mason Archie
|
G | 13 | 2.2 | 0.6 | 0.5 | 0.2 | 0.1 | 0.0 | 0.5 | 0.3 | 0.5 | -12 | 11 | -1.1 | -23.0 | 0.0 | 0 | 100.0 | -1.38 | 82.0 | 0.0 |
Ali Mackay
|
F | 17 | 3.2 | 0.4 | 0.5 | 0.1 | 0.0 | 0.1 | 0.1 | 0.1 | 0.9 | -18 | 12 | -1.5 | -20.6 | 50.0 | 0.0 | 0 | -2.45 | 175.0 | 50.0 |
Connor Perkey
|
F | 10 | 1.8 | 0.4 | 0.4 | 0.0 | 0.1 | 0.0 | 0.0 | 0.1 | 0.8 | -13 | 7 | -1.9 | -46.6 | 100.0 | 0 | 0 | -2.85 | 200.0 | 100.0 |
Youssef Mejri
|
- | 13 | 1.9 | 0.3 | 0.3 | 0.0 | 0.1 | 0.1 | 0.0 | 0.0 | 0.8 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Clay Tormey
|
- | 12 | 2.1 | 0.1 | 0.2 | 0.1 | 0.1 | 0.0 | 0.2 | 0.0 | 0.2 | - | - | - | - | 0 | 0 | 0.0 | - | 113.6 | 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