Binghamton Bearcats
2026 Team Stats (30 games)
64.2
PPG
63.0
Opp
+1.2
Margin
43.0%
FG%
32.4%
3P%
75.1%
FT%
33.6
RPG
11.0
APG
16.0
TO
77.8
Pace
64.1
AdjO
66.1
AdjD
#185
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 → | 1019 (#172) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1087 (#123) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1018 (#163) | HCA +113 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -1.8 (#184) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +12.7 (#164) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.520 (#162) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.545 (#161) | NetEff +1.4 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.425 (#187) | AdjNet -2.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.417 (#190) | AdjNet -2.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.455 (#185) | AdjO 64.1 | AdjD 66.1 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.584 (#140) | AdjO 63.7 | AdjD 60.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.745 (#171) | 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 → | 0.717 (#168) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1064 (#164) | RD 107 | GP 30 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
B. Pucci
|
G | 30 | 32.4 | 15.4 | 3.8 | 1.9 | 1.3 | 0.1 | 2.8 | 11.5 | 8.2 | 139 | 6.3 | 9.5 | 44.6 | 41.2 | 83.3 | 1.72 | 59.4 | 54.8 |
K. Bennett
|
F | 30 | 32.5 | 14.1 | 10.3 | 0.7 | 1.2 | 1.3 | 2.4 | 8.8 | 16.2 | 73 | 3.3 | 5.1 | 61.1 | 0.0 | 76.6 | -1.35 | 65.7 | 61.1 |
M. Casey
|
G | 30 | 32.2 | 7.8 | 2.5 | 2.7 | 1.1 | 0.0 | 1.6 | 7.3 | 5.3 | 90 | 4.1 | 7.2 | 44.0 | 34.1 | 57.7 | -1.39 | 51.2 | 50.5 |
C. Bennett
|
G | 29 | 23.3 | 7.2 | 2.8 | 1.3 | 1.0 | 0.4 | 1.9 | 5.9 | 4.9 | 172 | 8.2 | 17.4 | 46.5 | 31.8 | 87.8 | 5.0 | 55.3 | 50.6 |
L. Middleton
|
G | 30 | 21.4 | 6.0 | 2.2 | 0.7 | 0.8 | 0.1 | 1.1 | 6.6 | 2.1 | 109 | 5.0 | 9.8 | 33.3 | 28.4 | 88.9 | 0.66 | 43.1 | 39.6 |
Y. Boyd
|
G | 30 | 22.3 | 5.5 | 3.3 | 1.4 | 1.1 | 0.2 | 2.4 | 6.0 | 3.2 | 83 | 3.8 | 8.2 | 36.5 | 13.0 | 56.9 | 2.82 | 40.3 | 37.3 |
Ka. Goode
|
G | 29 | 22.9 | 4.3 | 2.0 | 1.8 | 1.1 | 0.0 | 1.7 | 5.0 | 2.6 | 149 | 6.2 | 15.9 | 30.3 | 20.3 | 74.3 | 2.51 | 39.3 | 34.5 |
A. Redd
|
G | 25 | 11.3 | 4.0 | 1.6 | 0.3 | 0.4 | 0.1 | 0.8 | 3.3 | 2.3 | 72 | 3.6 | 13.3 | 36.6 | 30.8 | 63.6 | -0.47 | 46.6 | 39.0 |
D. Salgado
|
F | 18 | 6.1 | 0.9 | 1.3 | 0.1 | 0.1 | 0.3 | 0.6 | 1.3 | 0.9 | 95 | 5.9 | 27.3 | 30.4 | 0 | 100.0 | 2.7 | 33.5 | 30.4 |
Kl. Goode
|
G | 16 | 6.3 | 0.7 | 0.4 | 0.6 | 0.2 | 0.1 | 0.4 | 1.1 | 0.6 | 149 | 6.2 | 15.9 | 23.5 | 25.0 | 100.0 | 2.51 | 30.8 | 26.5 |
L. Fowler
|
G | 7 | 2.1 | 0.3 | 0.0 | 0.0 | 0.1 | 0.0 | 0.0 | 0.6 | -0.1 | 11 | 1.4 | 14.9 | 25.0 | 0.0 | 0 | -0.06 | 25.0 | 25.0 |
K. Dorsey
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Abby Misier
|
C | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Kaitlyn McMillan
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 17 | 0.8 | 2.4 | - | - | - | -0.98 | - | - |
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