Florida A&M Rattlers
2026 Team Stats (29 games)
70.8
PPG
75.4
Opp
-4.6
Margin
43.4%
FG%
33.1%
3P%
70.4%
FT%
34.0
RPG
12.8
APG
15.0
TO
80.7
Pace
65.5
AdjO
78.3
AdjD
#326
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 → | 997 (#179) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 878 (#272) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 988 (#531) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -12.9 (#328) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +1.7 (#342) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.309 (#280) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.050 (#331) | NetEff -23.3 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.140 (#321) | AdjNet -15.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.137 (#320) | AdjNet -16.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.238 (#326) | AdjO 65.5 | AdjD 78.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.435 (#539) | AdjO 68.7 | AdjD 71.6 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.534 (#321) | 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 → | 0.516 (#316) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 937 (#326) | RD 129 | GP 29 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
T. Shirley
|
F | 29 | 30.2 | 12.3 | 4.8 | 1.8 | 1.1 | 0.4 | 2.8 | 10.6 | 7.0 | -62 | -2.8 | -5.2 | 44.1 | 33.3 | 78.4 | -0.38 | 52.6 | 48.7 |
J. Sanders
|
- | 28 | 31.5 | 11.6 | 3.1 | 3.7 | 1.0 | 0.2 | 2.4 | 9.4 | 7.8 | -73 | -3.3 | -5.6 | 38.8 | 33.5 | 82.9 | 0.01 | 54.5 | 49.0 |
M. Octave
|
- | 21 | 32.3 | 10.3 | 8.1 | 1.7 | 2.6 | 0.4 | 1.9 | 7.0 | 14.2 | 0 | 0.0 | 0.0 | 48.6 | 39.0 | 65.7 | 0.27 | 61.5 | 58.9 |
A. Baker Jr.
|
- | 27 | 27.5 | 10.1 | 3.6 | 2.1 | 1.2 | 0.3 | 1.9 | 8.2 | 7.2 | 88 | 4.9 | 9.4 | 44.8 | 23.7 | 83.8 | 0.86 | 53.5 | 46.8 |
J. Chatman
|
G | 29 | 26.7 | 9.1 | 3.1 | 1.1 | 0.7 | 0.4 | 1.1 | 6.8 | 6.6 | -116 | -5.5 | -12.8 | 39.8 | 36.9 | 74.3 | -1.22 | 58.0 | 53.8 |
K. Washington
|
F | 27 | 20.2 | 8.4 | 3.0 | 1.4 | 1.4 | 0.4 | 1.9 | 6.9 | 5.8 | -75 | -4.4 | -11.9 | 44.4 | 35.9 | 78.3 | -0.93 | 53.2 | 48.1 |
D. Palmer Jr.
|
- | 4 | 17.0 | 7.8 | 3.5 | 1.0 | 0.8 | 0.2 | 0.5 | 5.0 | 7.8 | -43 | -3.1 | -11.8 | 45.0 | 0 | 65.0 | 1.14 | 53.8 | 45.0 |
M. Ndalama
|
- | 23 | 22.7 | 6.9 | 4.5 | 0.8 | 0.4 | 1.0 | 1.8 | 4.8 | 7.0 | -21 | -1.3 | -2.8 | 55.9 | 0.0 | 50.0 | -0.25 | 56.1 | 55.9 |
A. Boldin Jr.
|
G | 20 | 18.4 | 6.0 | 3.0 | 0.9 | 0.8 | 0.2 | 1.1 | 4.5 | 5.3 | 88 | 4.9 | 9.4 | 50.6 | 22.2 | 49.1 | 0.86 | 53.4 | 52.8 |
Tuscan Onuoha
|
F | 4 | 5.0 | 2.5 | 0.2 | 0.0 | 0.0 | 0.0 | 0.5 | 2.0 | 0.2 | - | - | - | 62.5 | 0.0 | 0.0 | - | 56.3 | 62.5 |
A. Knowles
|
- | 17 | 8.5 | 1.9 | 0.8 | 0.5 | 0.1 | 0.0 | 0.7 | 2.6 | -0.1 | -62 | -4.4 | -19.4 | 20.5 | 21.9 | 70.0 | -0.6 | 33.1 | 28.4 |
L. Taylor Jr.
|
- | 18 | 9.7 | 1.8 | 1.6 | 0.1 | 0.2 | 0.0 | 0.7 | 2.2 | 0.8 | -11 | -0.8 | -3.9 | 27.5 | 20.0 | 57.1 | 0.11 | 35.7 | 31.2 |
A. Rahman
|
- | 8 | 1.4 | 0.6 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1 | 0.5 | 0.0 | 1 | 0.2 | 4.4 | 50.0 | 0.0 | 50.0 | 0.08 | 51.2 | 50.0 |
M. Stute
|
- | 9 | 1.9 | 0.0 | 0.1 | 0.2 | 0.1 | 0.0 | 0.0 | 0.3 | 0.1 | -6 | -1.0 | -19.8 | 0.0 | 0.0 | 0.0 | -0.02 | 0.0 | 0.0 |
J. Hall
|
F | 1 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 12 | 1.1 | 12.8 | 0 | 0 | 0 | -0.12 | 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