St. Bonaventure Bonnies
2026 Team Stats (29 games)
60.6
PPG
63.0
Opp
-2.4
Margin
40.6%
FG%
30.1%
3P%
73.2%
FT%
34.0
RPG
10.9
APG
15.4
TO
77.6
Pace
61.2
AdjO
65.4
AdjD
#214
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 → | 992 (#192) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 973 (#193) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 945 (#479) | HCA +113 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -4.5 (#214) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +8.1 (#225) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.442 (#191) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.500 (#175) | NetEff +0.0 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.326 (#216) | AdjNet -6.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.319 (#215) | AdjNet -6.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.404 (#214) | AdjO 61.2 | AdjD 65.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.457 (#329) | AdjO 61.1 | AdjD 62.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.633 (#230) | 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 → | 0.592 (#232) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 968 (#232) | RD 113 | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
L. Drake
|
G | 29 | 31.8 | 15.4 | 6.5 | 2.7 | 1.7 | 0.6 | 2.7 | 14.0 | 10.2 | 49 | 2.0 | 2.7 | 42.6 | 31.4 | 83.3 | 2.93 | 50.6 | 46.6 |
A. Parker
|
G | 28 | 25.3 | 12.8 | 6.0 | 1.8 | 2.2 | 0.4 | 2.3 | 12.0 | 8.8 | -5 | -5.0 | -93.0 | 38.7 | 29.2 | 78.5 | -1.1 | 46.7 | 40.8 |
M. Pettinelli
|
G | 29 | 29.4 | 6.0 | 3.0 | 1.4 | 1.3 | 0.3 | 1.8 | 5.0 | 5.2 | 6 | 0.2 | 0.4 | 43.2 | 30.9 | 76.5 | -0.51 | 53.7 | 50.3 |
E. MacDonough
|
G | 29 | 24.6 | 4.7 | 1.6 | 1.0 | 0.8 | 0.1 | 1.3 | 4.5 | 2.3 | -2 | -0.1 | -0.1 | 35.4 | 35.2 | 87.5 | 0.3 | 50.9 | 49.6 |
M. Heise
|
G | 17 | 17.4 | 4.6 | 2.1 | 1.1 | 0.3 | 0.2 | 1.7 | 3.8 | 2.8 | 14 | 0.7 | 1.4 | 43.1 | 24.0 | 70.8 | -1.57 | 52.3 | 47.7 |
I. Djikanovic
|
G | 18 | 20.2 | 4.3 | 2.1 | 1.1 | 0.4 | 0.3 | 1.7 | 4.3 | 2.2 | 76 | 4.5 | 7.7 | 39.7 | 23.8 | 45.5 | 3.51 | 43.9 | 42.9 |
B. Barr-Buday
|
F | 21 | 9.7 | 4.3 | 1.8 | 0.4 | 0.2 | 0.3 | 1.4 | 3.8 | 1.8 | 45 | 1.9 | 7.3 | 50.0 | 0 | 62.5 | 2.07 | 51.7 | 50.0 |
B. Boyd
|
F | 29 | 12.9 | 3.7 | 1.9 | 0.7 | 0.2 | 0.1 | 0.7 | 2.9 | 3.0 | 15 | 0.6 | 2.3 | 48.2 | 26.7 | 71.0 | -0.41 | 54.7 | 50.6 |
O. DiFranco
|
G | 26 | 13.2 | 3.3 | 1.9 | 0.6 | 0.5 | 0.3 | 0.7 | 2.8 | 3.2 | -3 | -0.1 | -0.4 | 41.7 | 31.2 | 83.3 | -1.73 | 51.5 | 45.1 |
K. Buckley
|
F | 24 | 14.2 | 3.2 | 2.1 | 0.6 | 0.4 | 0.1 | 0.8 | 3.1 | 2.5 | 61 | 3.0 | 9.5 | 37.8 | 18.8 | 65.4 | 2.34 | 44.5 | 39.9 |
G. Robinson
|
F | 27 | 18.3 | 2.6 | 2.9 | 0.2 | 0.4 | 0.6 | 1.2 | 2.9 | 2.6 | -73 | -3.0 | -6.5 | 38.5 | 0 | 42.9 | -2.91 | 39.5 | 38.5 |
K. Krysztof
|
G | 24 | 8.7 | 2.3 | 1.0 | 0.6 | 0.1 | 0.1 | 0.7 | 2.8 | 0.7 | 36 | 1.9 | 13.7 | 27.9 | 28.8 | 0 | 0.45 | 40.4 | 40.4 |
I. Corluka
|
F | 5 | 4.4 | 0.4 | 0.8 | 0.0 | 0.0 | 0.2 | 0.0 | 1.0 | 0.4 | 8 | 2.7 | 51.9 | 20.0 | 0.0 | 0.0 | 0.08 | 17.0 | 20.0 |
M. Davidson
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
D. Fields
|
G | 5 | 2.4 | 0.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6 | -0.4 | -6 | -3.0 | -450.0 | 0.0 | 0.0 | 0 | -0.14 | 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