Coppin State
2022 Team Stats (4 games)
62.3
PPG
75.0
Opp
-8.6
Margin
37.1%
FG%
27.0%
3P%
65.1%
FT%
31.0
RPG
10.5
APG
15.0
TO
79.4
Pace
Model Outputs
2021-2022
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 → | 702 (#759) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 846 (#728) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 953 (#549) | HCA +115 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +6.2 (#439) | HCA +2.7 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +1.9 (#321) | HCA +2.4 |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.143 (#249) | NetEff -14.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.461 (#427) | AdjO 67.3 | AdjD 69.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.503 (#315) | 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 → | 0.485 (#312) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 883 (#513) | RD 135 | GP 30 |
2022 Schedule & Results
2022 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/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
D. Vaughn
|
F | 1 | 26.0 | 23.0 | 9.0 | 0.0 | 1.0 | 0.0 | 1.0 | 10.0 | 22.0 | -20 | -0.6 | -0.8 | 60.0 | 50.0 | 100.0 | 0.13 | 82.4 | 70.0 |
J. Jones
|
F | 1 | 17.0 | 17.0 | 4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 21.0 | 80 | 2.4 | 3.6 | 0 | 0 | 0 | 0.3 | 0 | 0 |
D. London
|
G | 1 | 35.0 | 16.0 | 10.0 | 3.0 | 1.0 | 0.0 | 1.0 | 0.0 | 29.0 | 30 | 1.4 | 2.0 | 0 | 0 | 0 | -0.03 | 0 | 0 |
T. Corbett
|
- | 13 | 27.9 | 14.8 | 9.9 | 1.1 | 0.7 | 0.8 | 2.2 | 1.5 | 23.6 | -95 | -4.1 | -6.5 | 45.0 | 28.6 | 62.5 | 0.04 | 410.3 | 50.0 |
Jesse Zarzuela
|
- | 14 | 30.9 | 14.3 | 3.1 | 3.6 | 1.6 | 0.0 | 2.7 | 3.7 | 16.2 | -137 | -6.8 | -8.5 | 38.5 | 28.6 | 71.4 | -0.33 | 163.3 | 46.2 |
Nendah Tarke
|
G | 18 | 33.8 | 13.3 | 6.6 | 2.7 | 3.0 | 0.3 | 2.8 | 3.1 | 20.1 | -132 | -4.1 | -5.2 | 41.8 | 29.2 | 52.2 | 0.26 | 184.3 | 48.2 |
M. Hood
|
- | 30 | 19.8 | 7.8 | 1.7 | 1.1 | 0.5 | 0.1 | 1.3 | 2.5 | 7.3 | -199 | -6.2 | -12.1 | 36.5 | 33.3 | 66.7 | -1.27 | 137.8 | 46.6 |
K. Cardaci
|
- | 18 | 27.7 | 6.4 | 2.1 | 1.0 | 1.4 | 0.1 | 0.5 | 1.8 | 8.6 | -161 | -5.0 | -7.0 | 34.4 | 33.3 | 100.0 | -0.45 | 168.1 | 48.4 |
J. Steers
|
- | 28 | 14.3 | 5.9 | 3.9 | 0.7 | 0.3 | 0.9 | 1.9 | 1.9 | 7.9 | -152 | -5.1 | -13.7 | 50.9 | 0.0 | 65.8 | -1.34 | 119.0 | 50.9 |
S. Altman
|
G | 1 | 24.0 | 5.0 | 6.0 | 1.0 | 1.0 | 0.0 | 1.0 | 2.0 | 10.0 | -14 | -0.5 | -1.3 | 50.0 | 100.0 | 66.7 | -0.02 | 75.3 | 75.0 |
S. Conteh
|
F | 14 | 14.7 | 3.2 | 1.5 | 0.2 | 0.4 | 0.4 | 0.7 | 1.2 | 3.7 | -52 | -1.7 | -4.9 | 29.4 | 25.0 | 80.0 | 0.19 | 117.2 | 38.2 |
A. Rojas
|
- | 20 | 14.6 | 3.2 | 1.8 | 0.5 | 0.5 | 0.3 | 0.3 | 1.2 | 4.6 | - | - | - | 54.2 | 52.6 | 100.0 | 0.75 | 124.2 | 75.0 |
M. Akinsanya
|
F | 1 | 11.0 | 3.0 | 3.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 4.0 | -15 | -0.6 | -1.7 | 0 | 0 | 0 | -0.46 | 0 | 0 |
D. Titus
|
- | 24 | 12.6 | 2.8 | 1.3 | 0.8 | 0.2 | 0.3 | 0.9 | 0.6 | 4.0 | -94 | -3.6 | -9.9 | 26.7 | 22.2 | 36.4 | -0.45 | 166.3 | 33.3 |
R. James
|
G | 13 | 13.2 | 2.5 | 1.5 | 1.0 | 0.3 | 0.1 | 0.8 | 0.2 | 4.2 | -52 | -2.5 | -7.4 | 66.7 | 100.0 | 100.0 | -0.24 | 307.7 | 83.3 |
Isaiah Gross
|
- | 15 | 8.7 | 2.3 | 1.1 | 0.1 | 0.2 | 0.0 | 0.5 | 0.1 | 3.1 | -17 | -0.9 | -5.0 | 100.0 | 100.0 | 0 | -0.09 | 1700.0 | 150.0 |
Greg Spurlock
|
- | 26 | 15.7 | 2.1 | 1.3 | 1.3 | 0.3 | 0.2 | 1.1 | 0.8 | 3.2 | -65 | -2.4 | -6.0 | 23.8 | 10.0 | 80.0 | -0.32 | 118.5 | 26.2 |
D. King
|
G | 2 | 8.0 | 2.0 | 0.5 | 0.5 | 0.5 | 0.0 | 2.0 | 0.0 | 1.5 | 138 | 4.2 | 6.9 | 0 | 0 | 0 | 0.95 | 0 | 0 |
A. Caldwell
|
G | 2 | 10.5 | 2.0 | 0.5 | 0.5 | 1.0 | 0.0 | 0.0 | 0.0 | 4.0 | -24 | -1.0 | -2.8 | 0 | 0 | 0 | 0.13 | 0 | 0 |
Nathaniel Stokes
|
F | 6 | 12.0 | 1.7 | 1.8 | 0.2 | 0.2 | 0.2 | 0.7 | 0.8 | 2.5 | -96 | -8.7 | -29.1 | 20.0 | 33.3 | 0 | -1.01 | 100.0 | 30.0 |
R. Lemovou
|
- | 6 | 5.8 | 1.3 | 2.7 | 0.0 | 0.0 | 0.2 | 0.7 | 0.3 | 3.2 | -9 | -0.8 | -4.9 | 50.0 | 0 | 100.0 | -0.12 | 163.9 | 50.0 |
K. Harkema
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
J. Pope
|
G | 1 | 8.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | -50 | -1.9 | -5.7 | 0.0 | 0.0 | 0 | -0.42 | 0.0 | 0.0 |
M. Samberg
|
G | 1 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 38 | 1.5 | 7.2 | 0 | 0 | 0 | 0.16 | 0 | 0 |
M. Mensah
|
G | 1 | 2.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 23 | 0.9 | 3.5 | 0 | 0 | 0 | 0.41 | 0 | 0 |
J. McGlone
|
G | 1 | 3.0 | 0.0 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 1.0 | 1.0 | -15 | -1.0 | -5.9 | 0.0 | 0.0 | 0 | -0.11 | 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