Binghamton
2026 Team Stats (30 games)
68.1
PPG
74.8
Opp
-6.7
Margin
46.3%
FG%
32.6%
3P%
74.5%
FT%
31.3
RPG
11.5
APG
12.3
TO
72.5
Pace
64.8
AdjO
83.3
AdjD
#356
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 → | 741 (#345) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 673 (#359) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 925 (#635) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -19.0 (#358) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -1.6 (#385) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.170 (#342) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.307 (#225) | NetEff -7.1 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.047 (#359) | AdjNet -26.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.046 (#359) | AdjNet -26.4 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.156 (#356) | AdjO 64.8 | AdjD 83.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.388 (#636) | AdjO 69.8 | AdjD 74.8 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.379 (#413) | 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 → | 0.367 (#436) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 802 (#666) | RD 172 | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Quigley
|
- | 29 | 37.3 | 15.0 | 5.0 | 6.4 | 1.2 | 0.0 | 3.4 | 11.1 | 13.0 | -137 | -6.5 | -9.1 | 47.5 | 18.6 | 78.4 | -0.9 | 55.7 | 48.8 |
D. Lilley
|
- | 10 | 33.6 | 14.5 | 9.3 | 0.9 | 0.7 | 0.8 | 2.7 | 10.6 | 12.9 | -74 | -7.4 | -11.1 | 42.5 | 14.8 | 79.7 | -0.46 | 54.0 | 44.3 |
Zyier Beverly
|
- | 28 | 24.9 | 12.0 | 4.9 | 0.4 | 0.7 | 1.3 | 1.7 | 7.6 | 10.0 | -86 | -4.1 | -8.0 | 60.8 | 30.0 | 64.4 | -0.56 | 63.8 | 61.6 |
W. Peterson Jr.
|
G | 27 | 35.8 | 10.9 | 4.5 | 1.4 | 0.8 | 0.3 | 1.8 | 9.3 | 6.8 | -22 | -1.2 | -9.2 | 41.3 | 40.5 | 76.8 | 0.1 | 51.9 | 47.6 |
J. Benigni
|
G | 29 | 31.3 | 10.0 | 2.9 | 0.8 | 1.1 | 0.0 | 0.8 | 6.3 | 7.7 | -76 | -3.8 | -5.8 | 45.9 | 39.7 | 90.0 | -0.48 | 67.6 | 61.7 |
B. Wilson
|
G | 27 | 28.0 | 9.6 | 4.3 | 0.8 | 0.7 | 0.6 | 2.0 | 7.3 | 6.7 | -118 | -5.6 | -10.6 | 41.9 | 22.0 | 79.0 | -1.07 | 53.2 | 44.7 |
Jake Blackburn
|
G | 14 | 16.4 | 5.5 | 1.3 | 0.4 | 0.3 | 0.0 | 0.6 | 4.1 | 2.8 | -26 | -3.2 | -11.1 | 48.3 | 39.5 | 66.7 | -0.47 | 63.5 | 62.9 |
Ryan Richardson
|
- | 21 | 26.0 | 4.2 | 2.1 | 1.6 | 0.5 | 0.3 | 1.4 | 5.0 | 2.4 | -64 | -3.4 | -7.1 | 29.5 | 30.4 | 35.3 | -0.63 | 39.6 | 39.5 |
S. Snagg
|
- | 28 | 19.1 | 3.9 | 2.8 | 0.4 | 0.3 | 0.3 | 0.4 | 2.6 | 4.6 | -90 | -4.5 | -11.8 | 61.6 | 0 | 56.2 | -0.93 | 62.0 | 61.6 |
N. Ibroci
|
- | 14 | 2.3 | 0.6 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7 | 0.1 | -9 | -1.1 | -61.4 | 30.0 | 30.0 | 0.0 | -0.02 | 41.4 | 45.0 |
Jayden Kelsey
|
- | 2 | 17.5 | 0.5 | 1.5 | 2.5 | 0.0 | 0.0 | 0.0 | 2.5 | 2.0 | -17 | -8.5 | -52.6 | 0.0 | 0.0 | 50.0 | -0.08 | 8.5 | 0.0 |
J. Lemond
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
E. Ashe
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Sayerr Senghore
|
F | 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