Quinnipiac
2026 Team Stats (30 games)
75.6
PPG
72.1
Opp
+3.5
Margin
42.9%
FG%
34.6%
3P%
68.4%
FT%
37.2
RPG
13.5
APG
11.1
TO
83.0
Pace
73.8
AdjO
77.7
AdjD
#221
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 → | 932 (#233) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1047 (#130) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1020 (#147) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -4.0 (#223) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +10.9 (#220) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.560 (#139) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.924 (#39) | NetEff +21.4 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.373 (#215) | AdjNet -4.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.368 (#216) | AdjNet -4.7 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.413 (#221) | AdjO 73.8 | AdjD 77.7 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.554 (#178) | AdjO 74.8 | AdjD 72.4 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.707 (#218) | 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 → | 0.673 (#213) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1042 (#201) | RD 150 | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A. Tice
|
- | 28 | 33.2 | 15.4 | 8.3 | 2.2 | 2.3 | 0.8 | 2.6 | 13.6 | 12.8 | - | - | - | 40.9 | 27.4 | 75.2 | - | 50.0 | 45.4 |
J. Zimmerman
|
- | 24 | 32.2 | 15.0 | 2.4 | 2.4 | 0.8 | 0.5 | 2.4 | 13.1 | 5.6 | 44 | 2.4 | 3.5 | 36.0 | 30.8 | 67.4 | 0.3 | 48.2 | 43.0 |
A. Jones
|
G | 30 | 28.5 | 12.5 | 2.4 | 3.8 | 1.1 | 0.2 | 2.2 | 10.7 | 7.2 | -4 | -0.2 | -0.3 | 43.4 | 44.1 | 76.7 | -0.24 | 53.2 | 49.8 |
G. Randall
|
- | 30 | 31.8 | 11.6 | 6.6 | 0.8 | 1.0 | 0.7 | 0.6 | 8.5 | 11.6 | -21 | -0.9 | -1.3 | 46.9 | 33.6 | 73.7 | -0.63 | 58.8 | 54.7 |
Keith Mcknight
|
- | 30 | 25.2 | 11.1 | 6.0 | 1.2 | 1.3 | 0.7 | 1.3 | 7.9 | 11.1 | 43 | 1.8 | 3.4 | 54.9 | 21.4 | 61.1 | -0.12 | 57.9 | 55.5 |
S. Reilly
|
- | 26 | 9.0 | 4.7 | 0.6 | 0.5 | 0.2 | 0.0 | 0.2 | 3.5 | 2.2 | 12 | 0.5 | 3.1 | 45.1 | 50.0 | 60.0 | -0.23 | 65.5 | 65.4 |
Tai Turnage
|
- | 28 | 12.9 | 3.7 | 1.4 | 2.1 | 0.6 | 0.0 | 0.5 | 3.5 | 3.8 | 68 | 3.1 | 12.7 | 28.6 | 34.0 | 83.3 | 0.2 | 45.7 | 37.8 |
Nate Guerengomba
|
- | 27 | 14.3 | 2.7 | 1.7 | 0.7 | 0.5 | 0.2 | 0.6 | 2.6 | 2.6 | 47 | 2.2 | 6.8 | 36.6 | 18.8 | 60.0 | -0.03 | 43.3 | 38.7 |
S. Wewe
|
- | 30 | 16.7 | 2.6 | 5.3 | 0.3 | 0.3 | 1.1 | 0.7 | 2.2 | 6.6 | 36 | 1.5 | 4.9 | 53.8 | 0 | 33.3 | -0.06 | 51.9 | 53.8 |
Christopher Skenderi
|
- | 5 | 2.6 | 2.6 | 1.2 | 0.2 | 0.2 | 0.0 | 0.4 | 1.4 | 2.4 | - | - | - | 71.4 | 75.0 | 0 | - | 92.9 | 92.9 |
B. Ritvo
|
- | 7 | 7.1 | 1.7 | 0.7 | 0.1 | 0.4 | 0.3 | 0.0 | 2.0 | 1.3 | -18 | -4.5 | -37.3 | 35.7 | 33.3 | 0.0 | -0.32 | 41.6 | 42.9 |
Samuel Nosakhare
|
- | 16 | 9.0 | 0.9 | 1.4 | 0.3 | 0.4 | 0.7 | 0.2 | 0.7 | 2.9 | -3 | -0.5 | -2.8 | 54.5 | 0 | 33.3 | -0.12 | 51.3 | 54.5 |
R. Giles Jr.
|
- | 10 | 7.5 | 0.6 | 1.3 | 0.7 | 0.0 | 0.0 | 0.7 | 1.2 | 0.7 | 238 | 9.5 | 22.5 | 16.7 | 14.3 | 50.0 | 1.47 | 23.3 | 20.8 |
A. Akinniyi
|
- | 7 | 2.7 | 0.3 | 0.1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6 | -0.1 | -5 | -1.2 | -134.8 | 25.0 | 0 | 0.0 | 0.08 | 20.5 | 25.0 |
Jayden Reid
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | -16 | -0.7 | -1.3 | - | - | - | 0.13 | - | - |
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