Bethune-Cookman Wildcats
2026 Team Stats (29 games)
55.7
PPG
65.7
Opp
-10.0
Margin
35.7%
FG%
28.0%
3P%
72.3%
FT%
35.1
RPG
9.5
APG
20.1
TO
81.7
Pace
50.6
AdjO
72.4
AdjD
#351
Rank
Model Outputs
2025-2026
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 → | 743 (#326) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 644 (#351) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 884 (#545) | HCA +113 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -22.1 (#350) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -6.1 (#370) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.075 (#336) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.038 (#344) | NetEff -23.2 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.019 (#349) | AdjNet -33.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.018 (#350) | AdjNet -34.8 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.121 (#351) | AdjO 50.6 | AdjD 72.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.327 (#537) | AdjO 55.8 | AdjD 63.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.276 (#407) | 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 → | 0.272 (#423) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 743 (#568) | RD 138 | GP 29 |
2026 Schedule & Results
2026 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. Dorsey
|
G | 29 | 29.5 | 9.2 | 2.9 | 1.0 | 1.4 | 0.2 | 1.6 | 8.7 | 4.4 | -160 | -6.7 | -9.4 | 35.3 | 25.4 | 90.0 | -4.11 | 46.3 | 38.5 |
K. Peters
|
G | 29 | 22.7 | 7.1 | 3.7 | 1.0 | 1.2 | 0.2 | 2.5 | 6.5 | 4.1 | -102 | -4.4 | -8.4 | 42.0 | 24.3 | 66.7 | -1.13 | 48.1 | 44.4 |
M. Holden
|
G | 26 | 21.2 | 7.0 | 1.9 | 1.7 | 0.8 | 0.2 | 3.3 | 6.8 | 1.5 | -103 | -5.2 | -10.2 | 33.3 | 26.7 | 82.8 | -1.05 | 44.6 | 36.7 |
K. Gregory
|
G | 8 | 23.8 | 6.9 | 1.4 | 1.4 | 1.4 | 0.0 | 2.6 | 7.6 | 0.8 | 92 | 4.8 | 22.1 | 29.5 | 25.0 | 76.9 | 0.96 | 41.2 | 36.9 |
T. Butler
|
F | 29 | 24.6 | 5.9 | 5.9 | 0.4 | 0.7 | 1.1 | 1.5 | 4.3 | 8.2 | -91 | -4.0 | -6.6 | 49.2 | 0 | 67.6 | 3.15 | 54.9 | 49.2 |
J. Brooks
|
G | 24 | 23.0 | 5.4 | 1.7 | 2.4 | 1.0 | 0.0 | 3.1 | 6.1 | 1.3 | -41 | -2.0 | -4.3 | 26.0 | 30.9 | 77.1 | 0.73 | 38.9 | 31.8 |
S. Tyler
|
F | 28 | 22.9 | 5.2 | 6.4 | 0.8 | 0.7 | 0.4 | 1.6 | 5.0 | 6.9 | -42 | -2.1 | -5.8 | 36.4 | 0.0 | 60.8 | -0.55 | 42.6 | 36.4 |
C. McDonald
|
F | 6 | 16.0 | 4.8 | 4.2 | 0.5 | 0.8 | 0.0 | 1.3 | 4.5 | 4.5 | -57 | -7.1 | -13.1 | 44.4 | 0 | 71.4 | -1.3 | 48.2 | 44.4 |
A. Johnson
|
G | 21 | 13.8 | 4.8 | 1.9 | 1.2 | 0.4 | 0.0 | 1.8 | 4.7 | 1.8 | -66 | -4.1 | -9.2 | 28.3 | 25.0 | 80.4 | -2.16 | 41.9 | 31.8 |
J. Kelley
|
G | 27 | 10.3 | 4.1 | 0.4 | 0.2 | 0.4 | 0.0 | 0.3 | 4.0 | 0.8 | -66 | -3.5 | -16.7 | 37.6 | 35.9 | 33.3 | -3.71 | 50.2 | 50.5 |
M. Johnson
|
F | 28 | 16.2 | 3.6 | 3.9 | 0.9 | 0.4 | 1.1 | 2.1 | 3.6 | 4.2 | 19 | 0.8 | 1.7 | 37.6 | 0.0 | 55.3 | -3.27 | 41.9 | 37.6 |
S. Phillips
|
G | 24 | 13.4 | 3.2 | 1.4 | 0.3 | 0.4 | 0.1 | 1.0 | 3.8 | 0.7 | -29 | -1.6 | -5.6 | 26.7 | 25.4 | 93.3 | 0.81 | 39.9 | 35.0 |
D. Pitts
|
F | 22 | 8.4 | 1.4 | 1.7 | 0.2 | 0.5 | 0.0 | 0.8 | 1.3 | 1.7 | -2 | -0.1 | -0.4 | 42.9 | 0 | 42.9 | 0.92 | 43.9 | 42.9 |
J. Parks
|
F | 11 | 3.5 | 0.5 | 0.6 | 0.0 | 0.4 | 0.0 | 0.5 | 0.3 | 0.8 | -17 | -1.5 | -17.0 | 66.7 | 0 | 50.0 | -0.4 | 63.0 | 66.7 |
I. Brown
|
G | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -1.0 | -10 | -5.0 | -38.1 | 0.0 | 0 | 0 | -0.29 | 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