Presbyterian Blue Hose
2026 Team Stats (26 games)
53.0
PPG
72.4
Opp
-19.4
Margin
34.6%
FG%
23.0%
3P%
63.2%
FT%
32.3
RPG
7.5
APG
21.6
TO
84.7
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 → | 826 (#583) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -16.9 (#457) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.175 (#588) | AdjO 54.3 | AdjD 71.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.140 (#490) | 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 → | 0.134 (#525) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 641 (#587) | RD 166 | GP 26 |
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. Cunningham
|
G | 25 | 22.7 | 11.4 | 3.4 | 0.8 | 0.9 | 0.4 | 2.8 | 12.5 | 1.6 | -99 | -4.3 | -10.6 | 32.4 | 22.1 | 70.8 | -0.39 | 40.2 | 34.8 |
A. Tal
|
G | 26 | 20.9 | 8.6 | 2.2 | 1.1 | 1.4 | 0.1 | 4.2 | 9.5 | -0.3 | -82 | -3.4 | -8.7 | 35.6 | 14.6 | 69.5 | 0.43 | 41.0 | 37.0 |
K. Haddock
|
G | 24 | 31.6 | 8.2 | 6.1 | 1.0 | 1.1 | 0.3 | 2.4 | 7.4 | 7.0 | -124 | -5.9 | -9.7 | 40.7 | 0.0 | 59.3 | -3.89 | 45.6 | 40.7 |
M. Boyd
|
G | 13 | 27.8 | 7.8 | 5.2 | 0.5 | 1.1 | 0.6 | 2.6 | 8.0 | 4.7 | -36 | -2.1 | -3.7 | 33.7 | 27.3 | 65.9 | 0.85 | 41.3 | 35.1 |
A. Linger
|
G | 4 | 26.5 | 6.2 | 4.8 | 1.0 | 1.0 | 1.5 | 2.2 | 8.5 | 3.8 | 32 | 4.6 | 7.5 | 32.4 | 0.0 | 60.0 | 2.73 | 34.5 | 32.4 |
D. Velez
|
G | 26 | 24.6 | 5.5 | 1.8 | 1.1 | 1.2 | 0.3 | 1.9 | 5.8 | 2.2 | -113 | -4.7 | -9.6 | 34.9 | 30.2 | 55.0 | -2.62 | 44.5 | 43.4 |
O. Ogunwolere
|
G | 25 | 31.4 | 5.4 | 2.9 | 2.4 | 2.1 | 0.2 | 3.0 | 4.6 | 5.3 | -122 | -5.3 | -8.5 | 36.5 | 22.9 | 60.6 | -1.15 | 46.2 | 40.0 |
A. Sykes
|
G | 25 | 11.6 | 3.4 | 0.4 | 0.1 | 0.2 | 0.0 | 0.5 | 3.6 | 0.0 | -71 | -3.0 | -12.0 | 24.4 | 26.3 | 84.0 | -3.21 | 42.1 | 35.6 |
Y. Floyd
|
G | 16 | 8.6 | 3.3 | 1.6 | 0.4 | 0.6 | 0.1 | 1.6 | 3.7 | 0.6 | -17 | -1.1 | -11.4 | 37.3 | 13.3 | 63.6 | -1.12 | 41.5 | 39.0 |
A. Williams
|
F | 23 | 18.0 | 3.0 | 3.7 | 0.2 | 0.8 | 0.3 | 1.6 | 2.7 | 3.7 | 157 | 6.0 | 18.5 | 41.0 | 0 | 48.7 | 2.74 | 44.1 | 41.0 |
S. Fiddler
|
G | 5 | 17.6 | 2.0 | 2.2 | 0.4 | 0.4 | 0.0 | 2.0 | 4.0 | -1.0 | -59 | -6.6 | -11.7 | 15.0 | 12.5 | 66.7 | -3.41 | 23.5 | 20.0 |
S. Mullock
|
F | 26 | 17.0 | 1.7 | 2.9 | 0.2 | 0.4 | 0.1 | 0.9 | 1.8 | 2.6 | -100 | -4.2 | -15.4 | 40.4 | 14.3 | 33.3 | -1.7 | 41.0 | 41.5 |
L. Kamdoum
|
F | 7 | 9.6 | 0.7 | 2.0 | 0.1 | 0.1 | 0.1 | 0.6 | 1.7 | 0.9 | -49 | -4.9 | -19.8 | 16.7 | 0 | 50.0 | -2.04 | 19.4 | 16.7 |
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