Florida International
2026 Team Stats (31 games)
80.4
PPG
78.4
Opp
+2.6
Margin
45.4%
FG%
34.3%
3P%
68.5%
FT%
38.2
RPG
14.5
APG
13.0
TO
86.1
Pace
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 → | 930 (#241) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 935 (#235) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 957 (#244) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -1.6 (#186) | - |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +0.3 (#168) | - |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.420 (#216) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | Unavailable | ValueError: efficiency fit failed: ValueError: invalid actual efficiency statistic: fg_attempted |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | Unavailable | ValueError: actual possession inputs unavailable: efficiency fit failed: ValueError: invalid actual efficiency statistic: fg_attempted |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | Unavailable | ValueError: actual possession inputs unavailable: efficiency fit failed: ValueError: invalid actual efficiency statistic: fg_attempted |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.464 (#190) | - |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.491 (#182) | - |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | Unavailable | ValueError: actual possession inputs unavailable: efficiency fit failed: ValueError: invalid actual efficiency statistic: fg_attempted |
| Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. More → | Unavailable | ValueError: actual possession inputs unavailable: efficiency fit failed: ValueError: invalid actual efficiency statistic: fg_attempted |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 957 (#214) | - |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Corey Stephenson
|
G | 29 | 31.3 | 18.3 | 6.4 | 1.7 | 1.3 | 0.5 | 2.3 | 13.4 | 12.4 | 85 | 4.2 | 7.4 | 46.2 | 39.3 | 74.5 | 0.68 | 58.7 | 54.6 |
Z. Jackson
|
G | 29 | 29.3 | 12.5 | 2.6 | 2.9 | 1.3 | 0.0 | 1.4 | 8.0 | 9.9 | 2 | 0.1 | 0.2 | 44.6 | 38.2 | 86.3 | -0.05 | 61.1 | 50.9 |
J. Mackey
|
- | 28 | 22.6 | 12.0 | 2.3 | 1.8 | 0.9 | 0.2 | 1.4 | 9.4 | 6.5 | -4 | -0.2 | -0.4 | 42.4 | 34.3 | 72.0 | -0.26 | 55.6 | 51.5 |
L. Olayinka
|
F | 30 | 23.7 | 10.4 | 6.6 | 0.9 | 1.0 | 1.4 | 1.5 | 7.8 | 11.0 | - | - | - | 55.8 | 16.7 | 56.3 | - | 57.3 | 56.2 |
Eric Dibami
|
- | 29 | 29.1 | 9.1 | 7.4 | 1.4 | 1.3 | 1.4 | 1.6 | 7.0 | 12.1 | 18 | 0.9 | 1.8 | 52.0 | 0.0 | 50.5 | 0.27 | 53.0 | 52.0 |
A. Williamson
|
G | 24 | 22.6 | 7.7 | 2.2 | 2.7 | 1.0 | 0.1 | 1.8 | 7.8 | 4.1 | 76 | 3.6 | 8.3 | 37.8 | 29.8 | 88.2 | 0.0 | 47.3 | 45.2 |
B. Harris
|
G | 30 | 18.8 | 5.6 | 2.6 | 1.6 | 1.0 | 0.2 | 0.8 | 5.0 | 5.1 | 81 | 3.7 | 7.3 | 38.3 | 30.4 | 64.7 | 0.32 | 50.9 | 48.7 |
O. Ibrahim
|
- | 30 | 14.3 | 4.1 | 3.2 | 0.2 | 0.6 | 0.7 | 0.6 | 2.9 | 5.2 | - | - | - | 58.0 | 0.0 | 51.3 | - | 58.0 | 58.0 |
Thiago Sucatzky
|
- | 30 | 13.4 | 3.5 | 1.0 | 2.2 | 0.8 | 0.0 | 1.5 | 3.2 | 2.7 | 25 | 1.2 | 5.0 | 39.6 | 40.9 | 82.6 | -0.04 | 49.0 | 44.3 |
K. Brown
|
- | 19 | 6.5 | 1.6 | 1.5 | 0.2 | 0.1 | 0.3 | 0.4 | 1.6 | 1.6 | 15 | 0.6 | 1.5 | 41.9 | 0.0 | 44.4 | -0.31 | 42.9 | 41.9 |
A. Clinton
|
F | 2 | 3.0 | 1.5 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 1.5 | - | - | - | 100.0 | 0 | 50.0 | - | 79.8 | 100.0 |
A. Nimmers
|
- | 4 | 8.5 | 1.2 | 0.5 | 0.5 | 0.2 | 0.5 | 0.0 | 2.5 | 0.5 | -6 | -1.2 | -58.3 | 10.0 | 0.0 | 60.0 | -0.08 | 20.5 | 10.0 |
R. Ruiz
|
- | 7 | 3.4 | 0.9 | 0.1 | 0.0 | 0.1 | 0.0 | 0.1 | 0.6 | 0.4 | -16 | -2.7 | -673.7 | 75.0 | 0 | 0 | -0.1 | 75.0 | 75.0 |
Michael Kelvin II
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 38 | 2.0 | 10.3 | - | - | - | 0.58 | - | - |
Gvidas Gicevicius
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Jorge Santos
|
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