Prairie View A&M
2014 Team Stats (8 games)
65.6
PPG
69.6
Opp
-4.0
Margin
40.2%
FG%
35.5%
3P%
68.3%
FT%
35.0
RPG
10.4
APG
13.1
TO
-
Est. poss./game
64.7
Adj PPG
77.8
Adj Opp PPG
#330
Scoring Rank
Model Outputs
2013-2014
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 | 880 (#261) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 805 (#306) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 940 (#261) | HCA +92 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | -14.1 (#330) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | -13.9 (#335) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.201 (#316) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.087 (#331) | AdjNet -20.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.085 (#332) | AdjNet -20.6 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.234 (#330) | AdjO 64.7 | AdjD 77.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.359 (#304) | AdjO 65.6 | AdjD 71.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.207 (#326) | 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 | 0.228 (#320) | 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 | 763 (#314) | RD 123 | GP 33 |
2014 Schedule & Results
2014 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Montrael Scott
|
G | 28 | 30.4 | 14.8 | 4.5 | 2.0 | 1.4 | 0.0 | 2.2 | 4.8 | 15.8 | -113 | 14 | -8.1 | -11.8 | 45.9 | 51.0 | 77.1 | 0.58 | 139.2 | 55.3 |
John Brisco
|
G | 26 | 25.3 | 12.1 | 2.7 | 1.7 | 1.5 | 0.0 | 1.5 | 4.1 | 12.4 | -85 | 14 | -6.1 | -11.9 | 33.0 | 23.9 | 88.6 | -1.72 | 129.7 | 38.2 |
Demondre Chapman
|
F | 27 | 25.2 | 12.0 | 5.7 | 0.2 | 0.4 | 0.6 | 1.6 | 3.3 | 14.0 | -103 | 14 | -7.4 | -14.4 | 56.2 | 0 | 49.2 | -1.11 | 141.4 | 56.2 |
Louis Munks
|
G | 28 | 23.5 | 10.4 | 3.2 | 0.8 | 0.7 | 0.1 | 1.4 | 3.8 | 10.0 | -113 | 14 | -8.1 | -16.0 | 37.1 | 28.2 | 81.2 | -4.76 | 115.8 | 42.4 |
Treshawn Hagood
|
G | 27 | 28.0 | 6.7 | 3.1 | 3.9 | 1.4 | 0.0 | 2.7 | 2.7 | 9.7 | -119 | 14 | -8.5 | -14.0 | 36.5 | 21.4 | 67.2 | -3.07 | 91.4 | 38.5 |
Hershey Robinson
|
F | 27 | 18.1 | 5.1 | 2.4 | 0.5 | 0.4 | 0.2 | 0.8 | 1.9 | 6.0 | -90 | 14 | -6.4 | -16.4 | 48.1 | 45.5 | 62.5 | -2.18 | 125.2 | 62.5 |
Jules Montgomery
|
F | 26 | 18.1 | 4.0 | 3.8 | 0.5 | 0.6 | 0.8 | 0.8 | 1.7 | 7.3 | -48 | 13 | -3.7 | -9.9 | 48.8 | 33.3 | 81.8 | -1.58 | 107.7 | 51.2 |
Karim York
|
F | 13 | 10.8 | 4.0 | 1.8 | 0.2 | 0.4 | 0.3 | 1.0 | 0.8 | 4.9 | -23 | 9 | -2.6 | -21.6 | 20.0 | 0.0 | 25.0 | -1.34 | 221.1 | 20.0 |
Reggis Onwukamuche
|
C | 24 | 10.5 | 1.5 | 1.4 | 0.0 | 0.1 | 0.5 | 0.8 | 0.7 | 2.0 | -19 | 13 | -1.5 | -7.5 | 18.8 | 0 | 66.7 | -1.33 | 99.2 | 18.8 |
Andre Adams
|
G | 26 | 12.0 | 1.5 | 0.8 | 1.0 | 0.7 | 0.0 | 1.0 | 0.6 | 2.4 | -12 | 13 | -0.9 | -4.5 | 18.8 | 16.7 | 0.0 | 1.16 | 115.6 | 21.9 |
Patrick Agho
|
F | 18 | 5.9 | 1.4 | 1.3 | 0.1 | 0.0 | 0.2 | 0.4 | 0.5 | 2.1 | -7 | 10 | -0.7 | -5.4 | 66.7 | 0 | 60.0 | 1.21 | 116.1 | 66.7 |
Rasi Jenkins
|
F | 23 | 11.5 | 1.2 | 1.9 | 0.3 | 0.3 | 0.3 | 0.5 | 0.7 | 2.9 | -47 | 11 | -4.3 | -18.4 | 40.0 | 0 | 58.3 | -3.73 | 66.6 | 40.0 |
Rashaan Surles
|
G | 3 | 15.7 | 0.7 | 3.0 | 0.7 | 0.0 | 0.3 | 1.0 | 2.3 | 1.3 | -36 | 6 | -6.0 | -29.9 | 14.3 | 0.0 | 0 | -3.78 | 14.3 | 14.3 |
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