Florida Atlantic
2026 Team Stats (31 games)
77.5
PPG
74.9
Opp
+2.6
Margin
45.9%
FG%
33.1%
3P%
69.3%
FT%
38.5
RPG
13.2
APG
12.4
TO
82.1
Pace
79.2
AdjO
75.2
AdjD
#110
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 → | 1036 (#150) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1009 (#169) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 999 (#197) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +3.5 (#118) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +16.1 (#133) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.569 (#134) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.680 (#119) | NetEff +7.0 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.647 (#113) | AdjNet +5.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.649 (#113) | AdjNet +5.3 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.590 (#110) | AdjO 79.2 | AdjD 75.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.552 (#181) | AdjO 74.4 | AdjD 72.1 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.788 (#146) | 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 → | 0.744 (#152) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1090 (#144) | RD 131 | GP 31 |
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. Vanterpool
|
G | 22 | 31.2 | 15.5 | 6.0 | 2.5 | 1.5 | 0.9 | 2.1 | 12.2 | 12.1 | 81 | 3.9 | 6.2 | 44.8 | 36.6 | 73.2 | 0.38 | 57.0 | 53.9 |
K. Carlyle
|
- | 28 | 31.1 | 14.3 | 3.8 | 2.9 | 1.1 | 0.1 | 2.5 | 11.6 | 8.2 | 91 | 4.5 | 7.2 | 40.9 | 32.4 | 85.4 | 0.86 | 54.9 | 49.8 |
I. Elohim
|
- | 30 | 28.1 | 12.3 | 4.2 | 1.1 | 0.6 | 0.3 | 0.9 | 9.6 | 8.0 | 81 | 3.4 | 6.3 | 46.2 | 36.7 | 66.7 | 0.29 | 55.6 | 52.4 |
Josiah Parker
|
- | 30 | 22.1 | 9.4 | 6.1 | 1.1 | 0.6 | 0.3 | 1.3 | 7.5 | 8.6 | -38 | -1.7 | -4.6 | 48.9 | 16.0 | 61.3 | -0.61 | 52.8 | 49.8 |
Devin Williams
|
- | 31 | 23.8 | 7.6 | 5.2 | 1.3 | 0.2 | 2.5 | 1.3 | 6.1 | 9.6 | 66 | 2.9 | 6.2 | 52.4 | 30.4 | 64.1 | 0.48 | 57.5 | 56.1 |
Xander Pintelon
|
- | 31 | 18.3 | 6.1 | 3.6 | 0.7 | 0.6 | 0.5 | 0.8 | 5.1 | 5.7 | 81 | 3.5 | 8.8 | 39.9 | 34.3 | 82.4 | 0.61 | 54.3 | 50.6 |
N. Moretti
|
G | 31 | 26.5 | 5.7 | 2.0 | 3.3 | 0.8 | 0.0 | 1.9 | 4.5 | 5.4 | 20 | 0.9 | 2.0 | 46.4 | 23.8 | 67.2 | -0.29 | 54.1 | 50.0 |
A. Amkou
|
- | 24 | 12.2 | 5.3 | 1.9 | 0.4 | 0.3 | 0.4 | 0.7 | 3.9 | 3.7 | 6 | 0.4 | 1.7 | 43.0 | 35.9 | 76.7 | 0.03 | 56.7 | 50.5 |
M. Logue
|
F | 26 | 11.6 | 5.0 | 3.2 | 0.0 | 0.5 | 0.6 | 0.6 | 3.3 | 5.4 | 12 | 0.5 | 2.6 | 67.4 | 0.0 | 42.9 | -0.03 | 64.6 | 67.4 |
M. Langenfeld
|
- | 14 | 8.1 | 2.9 | 0.9 | 0.5 | 0.2 | 0.0 | 0.6 | 3.0 | 0.9 | -7 | -0.5 | -3.0 | 33.3 | 25.7 | 66.7 | -0.23 | 45.9 | 44.0 |
Yohann Sissoko
|
- | 25 | 10.2 | 2.6 | 1.7 | 0.9 | 0.2 | 0.1 | 0.9 | 2.1 | 2.4 | 0 | 0.0 | 0.0 | 34.6 | 42.9 | 70.4 | -0.03 | 50.1 | 43.3 |
Vincent Neugebauer
|
- | 14 | 7.5 | 2.4 | 1.5 | 0.1 | 0.3 | 0.1 | 0.4 | 1.4 | 2.6 | 21 | 2.3 | 14.3 | 65.0 | 0 | 53.8 | 0.17 | 64.2 | 65.0 |
L. Dayco-Green
|
- | 7 | 2.0 | 1.9 | 0.1 | 0.0 | 0.1 | 0.0 | 0.3 | 1.0 | 0.9 | -5 | -0.6 | -15.8 | 57.1 | 66.7 | 50.0 | -0.05 | 82.5 | 85.7 |
Zion Sampaio
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Lachlan Smith
|
G | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -1.0 | 0 | 0.0 | 0.0 | 0.0 | 0 | 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