Grambling Lady Tigers
2026 Team Stats (29 games)
63.6
PPG
61.8
Opp
+1.8
Margin
36.1%
FG%
22.6%
3P%
62.8%
FT%
41.1
RPG
12.7
APG
18.5
TO
92.2
Pace
53.7
AdjO
68.9
AdjD
#312
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 → | 942 (#222) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 748 (#318) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1041 (#139) | HCA +113 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -15.4 (#313) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +3.5 (#281) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.240 (#260) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.095 (#317) | NetEff -15.8 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.061 (#317) | AdjNet -23.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.056 (#317) | AdjNet -24.4 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.201 (#312) | AdjO 53.7 | AdjD 68.9 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.519 (#196) | AdjO 61.3 | AdjD 60.4 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.554 (#269) | 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 → | 0.550 (#256) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 967 (#233) | RD 132 | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
S. Nunn
|
SF | 29 | 26.7 | 12.1 | 8.0 | 0.9 | 1.8 | 0.6 | 2.2 | 11.1 | 10.0 | 119 | 5.4 | 9.7 | 43.8 | 5.6 | 65.7 | 1.93 | 47.8 | 43.9 |
M. Marsh
|
SG | 26 | 22.7 | 9.5 | 2.3 | 1.9 | 1.4 | 0.0 | 2.1 | 9.7 | 3.3 | 104 | 5.2 | 9.8 | 30.4 | 25.5 | 67.9 | 2.65 | 42.6 | 37.7 |
Z. Johnson
|
SF | 28 | 22.0 | 7.9 | 4.4 | 0.8 | 1.2 | 0.6 | 1.4 | 8.3 | 5.1 | 138 | 6.3 | 12.6 | 34.5 | 19.4 | 71.6 | 3.92 | 42.3 | 37.3 |
A. Murray
|
G | 22 | 17.4 | 6.8 | 4.4 | 0.9 | 1.5 | 0.5 | 1.4 | 5.8 | 6.8 | 68 | 5.2 | 19.9 | 49.2 | 10.5 | 52.5 | 1.15 | 51.2 | 50.0 |
A. Bartholomew
|
PG | 29 | 16.3 | 5.5 | 2.1 | 1.9 | 1.2 | 0.1 | 2.0 | 5.9 | 2.9 | 49 | 2.2 | 6.5 | 31.8 | 30.2 | 79.3 | -0.16 | 43.8 | 40.3 |
D. Prien
|
PG | 28 | 24.1 | 5.2 | 3.0 | 3.2 | 1.3 | 0.0 | 2.8 | 3.6 | 6.3 | 78 | 3.7 | 7.4 | 41.6 | 25.0 | 65.2 | -1.12 | 52.1 | 43.6 |
A. Mosley
|
SG | 28 | 21.6 | 5.1 | 2.0 | 1.1 | 0.8 | 0.1 | 1.4 | 6.8 | 0.9 | 17 | 0.8 | 1.6 | 31.1 | 12.0 | 59.4 | -4.32 | 35.0 | 32.6 |
D. Griffin
|
SG | 29 | 14.2 | 4.6 | 2.3 | 0.8 | 1.0 | 0.2 | 1.0 | 5.4 | 2.4 | 32 | 1.5 | 5.8 | 28.7 | 23.8 | 74.2 | -0.13 | 38.7 | 34.7 |
J. Roberson
|
PF | 9 | 13.2 | 4.0 | 4.0 | 0.2 | 0.2 | 0.3 | 1.2 | 4.2 | 3.3 | -12 | -1.0 | -3.8 | 42.1 | 0 | 57.1 | -1.7 | 43.8 | 42.1 |
J. Esco
|
C | 22 | 15.0 | 3.6 | 5.0 | 0.6 | 0.3 | 1.0 | 1.4 | 3.7 | 5.5 | 69 | 5.8 | 21.5 | 42.0 | 0 | 30.8 | -0.46 | 40.7 | 42.0 |
C. Simmons
|
G | 25 | 9.0 | 2.8 | 1.6 | 0.4 | 0.4 | 0.2 | 0.8 | 3.1 | 1.5 | 62 | 3.1 | 15.8 | 34.6 | 25.0 | 47.8 | 1.09 | 39.2 | 37.2 |
Z. Ervin
|
PF | 21 | 7.9 | 2.7 | 1.9 | 0.1 | 0.2 | 0.0 | 1.0 | 2.4 | 1.4 | 38 | 2.2 | 13.5 | 41.2 | 0.0 | 63.6 | -1.9 | 46.1 | 41.2 |
N. Sandifer
|
G | 1 | 5.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 3.0 | -2.0 | 0 | 0.0 | 0.0 | 33.3 | 0.0 | 0 | 0.2 | 33.3 | 33.3 |
D. Redmon
|
G | 27 | 16.7 | 2.0 | 2.9 | 1.0 | 1.3 | 0.3 | 0.7 | 2.7 | 4.0 | - | - | - | 25.0 | 33.3 | 55.2 | - | 31.3 | 25.7 |
E. Fiala
|
C | 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