Cleveland State
2014 Team Stats (2 games)
82.0
PPG
66.5
Opp
+15.5
Margin
61.1%
FG%
64.0%
3P%
69.1%
FT%
28.0
RPG
15.0
APG
13.5
TO
-
Est. poss./game
70.1
Adj PPG
64.7
Adj Opp PPG
#92
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 | 1121 (#76) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1101 (#101) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1050 (#100) | HCA +92 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +5.6 (#94) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +4.8 (#104) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.693 (#62) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.704 (#103) | AdjNet +7.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.705 (#103) | AdjNet +7.6 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.620 (#92) | AdjO 70.1 | AdjD 64.7 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.599 (#73) | AdjO 68.3 | AdjD 63.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.641 (#96) | 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 | 0.637 (#95) | 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 | 1086 (#109) | RD 123 | GP 31 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Bryn Forbes
|
G | 28 | 34.9 | 16.0 | 3.3 | 1.7 | 0.8 | 0.0 | 1.6 | 2.6 | 17.6 | 155 | 27 | 5.7 | 7.6 | 44.6 | 48.6 | 94.9 | -0.25 | 245.7 | 56.8 |
Jon Harris
|
F | 2 | 25.0 | 13.5 | 4.0 | 1.0 | 1.5 | 0.5 | 1.0 | 6.0 | 13.5 | 154 | 27 | 5.7 | 9.8 | 83.3 | 60.0 | 80.0 | 1.65 | 95.1 | 95.8 |
Trey Lewis
|
G | 28 | 31.6 | 12.4 | 3.7 | 3.6 | 0.9 | 0.3 | 2.6 | 2.4 | 15.8 | 164 | 28 | 5.9 | 8.3 | 52.9 | 42.3 | 82.1 | 1.86 | 203.1 | 61.0 |
Anton Grady
|
F | 26 | 24.7 | 10.2 | 6.6 | 1.7 | 0.7 | 1.0 | 1.8 | 2.0 | 16.4 | 130 | 26 | 5.0 | 8.8 | 54.9 | 0.0 | 43.5 | 2.48 | 217.6 | 54.9 |
Charlie Lee
|
G | 25 | 31.0 | 10.2 | 2.4 | 4.0 | 1.6 | 0.0 | 2.0 | 1.4 | 14.7 | 160 | 24 | 6.7 | 9.2 | 47.2 | 43.8 | 83.3 | 2.5 | 308.9 | 56.9 |
Sebastian Douglas
|
G | 21 | 24.4 | 8.7 | 3.3 | 1.5 | 0.7 | 0.0 | 1.8 | 1.6 | 10.9 | 93 | 23 | 4.0 | 8.0 | 69.7 | 100.0 | 57.1 | 0.06 | 232.4 | 71.2 |
Marlin Mason
|
F | 28 | 20.8 | 6.1 | 4.1 | 1.1 | 0.7 | 1.0 | 1.4 | 0.6 | 11.1 | 18 | 27 | 0.7 | 1.4 | 66.7 | 60.0 | 71.4 | -2.94 | 356.0 | 75.0 |
Ludovic Ndaye
|
F | 4 | 9.8 | 3.5 | 2.5 | 0.0 | 0.2 | 0.8 | 0.0 | 1.5 | 5.5 | - | - | - | - | 66.7 | 0 | 100.0 | - | 101.7 | 66.7 |
Devon Long
|
C | 26 | 12.6 | 2.6 | 1.7 | 0.3 | 0.2 | 0.2 | 0.7 | 0.6 | 3.7 | 57 | 26 | 2.2 | 8.2 | 40.0 | 0 | 25.0 | 0.14 | 199.9 | 40.0 |
Demonte Flannigan
|
F | 16 | 5.2 | 1.2 | 0.6 | 0.1 | 0.1 | 0.1 | 0.4 | 0.2 | 1.4 | -13 | 15 | -0.9 | -9.9 | 50.0 | 0 | 50.0 | -2.8 | 204.9 | 50.0 |
Ismaila Dauda
|
C | 16 | 6.4 | 0.8 | 1.3 | 0.0 | 0.1 | 0.2 | 0.2 | 0.3 | 1.8 | -10 | 17 | -0.6 | -4.2 | 60.0 | 0 | 0 | -3.66 | 120.0 | 60.0 |
Raphael Veira
|
G | 7 | 2.0 | 0.4 | 0.1 | 0.0 | 0.0 | 0.0 | 0.1 | 0.3 | 0.1 | - | - | - | - | 50.0 | 0.0 | 0 | -1.12 | 75.0 | 50.0 |
Khyler Fields
|
- | 3 | 2.3 | 0.0 | 1.0 | 0.3 | 0.0 | 0.0 | 0.0 | 1.0 | 0.3 | - | - | - | - | 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