Bowling Green Falcons
2026 Team Stats (29 games)
69.1
PPG
66.3
Opp
+2.8
Margin
38.9%
FG%
29.4%
3P%
73.1%
FT%
36.8
RPG
14.1
APG
16.7
TO
85.9
Pace
Model Outputs
2025-2026
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 988 (#410) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +12.3 (#172) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.552 (#170) | AdjO 64.8 | AdjD 62.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.740 (#178) | 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 → | 0.708 (#173) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1017 (#202) | RD 133 | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
P. Kohler
|
G | 29 | 34.7 | 14.7 | 3.8 | 2.8 | 1.2 | 0.2 | 2.3 | 13.3 | 7.1 | -27 | -1.2 | -1.7 | 37.3 | 32.3 | 73.7 | -1.9 | 49.6 | 45.7 |
J. Donahue
|
G | 26 | 32.2 | 11.1 | 5.8 | 4.0 | 4.3 | 0.6 | 3.1 | 9.5 | 13.3 | -66 | -3.1 | -4.9 | 36.4 | 20.6 | 75.0 | -2.45 | 47.1 | 37.9 |
L. Gerken
|
F | 29 | 25.5 | 9.8 | 4.3 | 1.1 | 0.9 | 1.6 | 1.5 | 9.4 | 6.8 | 83 | 3.8 | 6.3 | 34.9 | 27.0 | 83.0 | 3.0 | 48.3 | 44.3 |
K. Woods
|
G | 27 | 26.5 | 7.6 | 2.9 | 2.8 | 1.4 | 0.1 | 2.9 | 6.6 | 5.4 | 216 | 9.0 | 12.1 | 37.6 | 29.5 | 76.0 | 1.27 | 48.3 | 41.3 |
T. Ellis
|
F | 27 | 19.6 | 6.4 | 6.7 | 0.4 | 1.1 | 1.0 | 1.5 | 4.5 | 9.6 | 20 | 1.0 | 2.1 | 49.6 | 0 | 80.6 | 1.62 | 57.8 | 49.6 |
J. Bland-Fitzpatrick
|
F | 29 | 14.2 | 4.7 | 2.3 | 0.7 | 0.9 | 0.2 | 1.2 | 4.3 | 3.3 | 41 | 1.8 | 5.9 | 43.2 | 11.1 | 55.3 | -0.24 | 46.3 | 43.6 |
J. Fearne
|
G | 28 | 14.1 | 4.5 | 1.3 | 0.5 | 0.3 | 0.1 | 0.5 | 4.6 | 1.8 | 27 | 1.2 | 4.0 | 35.2 | 30.6 | 75.0 | 0.75 | 48.9 | 48.4 |
J. Cook
|
F | 22 | 7.1 | 4.0 | 2.0 | 0.2 | 0.2 | 0.6 | 0.7 | 2.8 | 3.5 | 64 | 2.8 | 5.3 | 50.8 | 0 | 83.3 | 1.64 | 58.6 | 50.8 |
K. Miller
|
G | 28 | 11.1 | 2.9 | 1.0 | 0.8 | 0.6 | 0.0 | 1.1 | 3.1 | 1.1 | 16 | 0.7 | 2.6 | 27.3 | 26.9 | 69.0 | 1.96 | 40.7 | 35.2 |
K. Moxey
|
F | 28 | 7.8 | 2.8 | 2.2 | 0.2 | 0.3 | 0.3 | 0.8 | 1.4 | 3.6 | -58 | -2.9 | -14.4 | 75.0 | 0 | 51.5 | -2.4 | 70.6 | 75.0 |
S. Moschen
|
F | 11 | 4.7 | 2.4 | 0.8 | 0.1 | 0.1 | 0.0 | 0.1 | 1.8 | 1.5 | 15 | 1.5 | 31.4 | 40.0 | 41.2 | 50.0 | -0.88 | 57.4 | 57.5 |
E. Siesel
|
G | 29 | 11.3 | 2.2 | 1.1 | 1.1 | 0.8 | 0.1 | 0.7 | 2.1 | 2.5 | 40 | 1.8 | 5.3 | 32.8 | 31.5 | 75.0 | 0.77 | 48.8 | 46.7 |
L. Harrison
|
F | 24 | 5.2 | 1.2 | 1.0 | 0.1 | 0.5 | 0.2 | 0.3 | 0.7 | 2.0 | 71 | 3.9 | 37.2 | 64.7 | 0.0 | 63.6 | 2.78 | 66.4 | 64.7 |
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