Florida State
2026 Team Stats (32 games)
80.8
PPG
78.2
Opp
+2.6
Margin
44.1%
FG%
33.4%
3P%
70.8%
FT%
35.1
RPG
14.5
APG
10.8
TO
82.5
Pace
84.0
AdjO
73.2
AdjD
#64
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 → | 1231 (#33) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1098 (#93) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1052 (#103) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +10.5 (#64) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +24.6 (#58) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.587 (#119) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.589 (#147) | NetEff +2.9 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.840 (#60) | AdjNet +14.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.844 (#60) | AdjNet +14.6 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.726 (#64) | AdjO 84.0 | AdjD 73.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.648 (#72) | AdjO 79.8 | AdjD 73.1 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.891 (#57) | 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 → | 0.864 (#56) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1216 (#58) | RD 132 | GP 32 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
R. McCray V
|
- | 32 | 28.8 | 16.5 | 3.8 | 6.1 | 1.3 | 0.5 | 3.4 | 12.9 | 11.8 | 62 | 2.8 | 4.6 | 46.1 | 35.8 | 70.3 | 0.62 | 55.5 | 51.9 |
C. Wiggins
|
F | 31 | 27.7 | 13.2 | 3.9 | 0.9 | 0.3 | 0.2 | 1.0 | 9.7 | 7.9 | 21 | 1.0 | 1.6 | 47.7 | 39.6 | 83.9 | 0.44 | 62.6 | 59.7 |
L. Jones
|
- | 32 | 29.5 | 12.9 | 5.6 | 1.2 | 1.3 | 1.0 | 1.0 | 9.7 | 11.2 | 61 | 2.5 | 4.4 | 43.2 | 33.1 | 76.3 | 0.66 | 56.9 | 51.9 |
K. MaGee
|
G | 32 | 19.8 | 8.2 | 2.9 | 0.8 | 0.9 | 0.0 | 0.7 | 6.7 | 5.4 | 19 | 0.9 | 1.7 | 38.1 | 32.9 | 74.1 | 0.24 | 54.5 | 50.9 |
Martin Somerville
|
- | 32 | 26.1 | 8.0 | 2.9 | 2.4 | 1.5 | 0.0 | 1.0 | 6.8 | 7.0 | 78 | 3.5 | 6.1 | 33.8 | 34.1 | 77.8 | 0.9 | 51.9 | 47.3 |
Alex Steen
|
- | 31 | 20.0 | 6.9 | 5.8 | 0.9 | 0.7 | 0.7 | 0.9 | 3.7 | 10.4 | 13 | 0.6 | 1.5 | 63.2 | 0.0 | 71.1 | -0.01 | 68.0 | 63.2 |
Thomas Bassong
|
- | 32 | 19.0 | 5.7 | 3.5 | 0.4 | 0.7 | 0.4 | 1.0 | 4.4 | 5.3 | -10 | -0.5 | -1.1 | 48.6 | 23.9 | 53.7 | -0.2 | 54.0 | 52.5 |
Cam Miles
|
- | 24 | 14.5 | 5.5 | 1.1 | 1.7 | 0.7 | 0.0 | 0.9 | 5.5 | 2.7 | 13 | 0.6 | 1.9 | 35.9 | 20.8 | 67.6 | 0.5 | 45.2 | 41.6 |
AJ Swinton
|
F | 25 | 15.7 | 4.5 | 1.8 | 0.4 | 1.0 | 0.5 | 0.5 | 3.7 | 4.0 | 18 | 1.0 | 3.0 | 44.1 | 32.7 | 54.5 | 0.3 | 54.5 | 53.8 |
S. Muhammad
|
- | 14 | 6.9 | 2.6 | 1.1 | 0.1 | 0.1 | 0.9 | 0.4 | 1.2 | 3.2 | -9 | -0.8 | -4.8 | 76.5 | 0 | 58.8 | -0.24 | 73.5 | 76.5 |
A. Maluk
|
F | 22 | 6.2 | 1.6 | 1.7 | 0.3 | 0.2 | 0.4 | 0.4 | 1.5 | 2.3 | -3 | -0.2 | -1.0 | 36.4 | 28.6 | 56.2 | -0.03 | 43.7 | 39.4 |
J. Crawford
|
- | 6 | 1.2 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | 1.0 | -0.2 | -6 | -1.2 | -49.7 | 33.3 | 33.3 | 0 | -0.1 | 50.0 | 50.0 |
Maximo Garcia-Plata
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Xavier Osceola
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Jasen Lopez
|
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