North Florida Ospreys
2026 Team Stats (26 games)
62.0
PPG
70.0
Opp
-8.0
Margin
39.1%
FG%
26.5%
3P%
70.4%
FT%
33.8
RPG
12.9
APG
18.3
TO
83.3
Pace
59.8
AdjO
72.2
AdjD
#298
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 → | 783 (#313) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 796 (#301) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 895 (#536) | HCA +113 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -12.4 (#295) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +1.5 (#301) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.159 (#298) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.088 (#321) | NetEff -18.1 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.113 (#292) | AdjNet -17.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.108 (#291) | AdjNet -18.2 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.245 (#298) | AdjO 59.8 | AdjD 72.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.413 (#434) | AdjO 61.1 | AdjD 65.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.432 (#322) | 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 → | 0.416 (#325) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 837 (#513) | RD 162 | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
D. McGill
|
F | 25 | 21.7 | 10.5 | 4.4 | 0.4 | 0.8 | 0.7 | 1.7 | 9.2 | 5.8 | -77 | -3.5 | -5.9 | 49.8 | 22.7 | 65.9 | -2.38 | 52.6 | 50.9 |
A. Waldon
|
G | 25 | 23.0 | 10.3 | 2.7 | 2.6 | 1.4 | 0.1 | 4.1 | 8.1 | 4.9 | -6 | -0.3 | -0.5 | 39.9 | 25.0 | 72.2 | 2.99 | 51.5 | 44.3 |
J. Stinson
|
G | 26 | 27.1 | 10.2 | 3.3 | 1.2 | 0.9 | 0.2 | 1.5 | 10.0 | 4.3 | -17 | -0.8 | -1.3 | 37.9 | 30.5 | 76.5 | 3.4 | 49.2 | 48.1 |
A. Washington
|
G | 26 | 31.0 | 8.7 | 3.5 | 2.8 | 1.8 | 0.0 | 3.4 | 8.5 | 4.9 | 121 | 5.0 | 9.2 | 35.1 | 29.0 | 75.9 | 1.24 | 46.0 | 41.7 |
E. Blatchford
|
G | 26 | 24.6 | 7.2 | 2.5 | 1.6 | 1.3 | 0.2 | 1.7 | 6.2 | 4.8 | -46 | -2.1 | -3.2 | 45.3 | 29.9 | 83.3 | -1.12 | 54.2 | 51.6 |
M. Verbeeten
|
G | 3 | 18.3 | 4.7 | 2.7 | 0.3 | 0.7 | 1.0 | 1.0 | 6.3 | 2.0 | -24 | -4.8 | -28.9 | 31.6 | 22.2 | 0 | -2.45 | 36.8 | 36.8 |
K. Pierre
|
F | 26 | 23.0 | 4.6 | 5.0 | 1.7 | 0.7 | 0.3 | 1.2 | 4.2 | 6.8 | 150 | 6.5 | 8.4 | 36.7 | 25.0 | 63.0 | 4.06 | 44.8 | 39.0 |
G. Buzzetti
|
F | 26 | 18.9 | 3.5 | 3.7 | 0.8 | 0.5 | 0.8 | 1.1 | 3.7 | 4.7 | -30 | -1.4 | -2.9 | 37.9 | 26.1 | 58.3 | -0.53 | 43.6 | 41.1 |
S. Ogaldez
|
G | 20 | 9.4 | 3.2 | 0.9 | 0.8 | 0.6 | 0.1 | 0.9 | 3.0 | 1.6 | -43 | -2.5 | -15.4 | 41.7 | 16.7 | 80.0 | 0.88 | 48.0 | 43.3 |
J. Cardwell
|
G | 22 | 11.3 | 2.5 | 3.2 | 0.7 | 0.5 | 0.1 | 1.0 | 3.6 | 2.4 | -86 | -4.1 | -12.3 | 25.0 | 19.0 | 46.7 | -4.81 | 31.8 | 30.0 |
N. Carreno
|
F | 16 | 6.7 | 1.8 | 1.1 | 0.4 | 0.1 | 0.2 | 0.6 | 2.7 | 0.4 | -3 | -0.2 | -1.0 | 27.9 | 12.0 | 100.0 | 1.31 | 32.2 | 31.4 |
C. Davis
|
F | 3 | 6.7 | 1.7 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.3 | 0.3 | 14 | 0.8 | 1.7 | 28.6 | 25.0 | 0 | -1.86 | 35.7 | 35.7 |
A. Knauff
|
G | 26 | 9.4 | 1.5 | 1.3 | 0.3 | 0.3 | 0.0 | 0.5 | 1.5 | 1.4 | -59 | -2.7 | -9.3 | 30.8 | 23.1 | 88.9 | -2.38 | 44.2 | 38.5 |
J. Brooks
|
C | 2 | 2.5 | 0.0 | 0.0 | 0.0 | 0.5 | 0.0 | 0.0 | 0.5 | 0.0 | -41 | -2.0 | -4.3 | 0.0 | 0 | 0 | 0.73 | 0.0 | 0.0 |
Jadah Toombs
|
G | 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