Jacksonville State Gamecocks
2025 Team Stats (1 games)
53.0
PPG
55.0
Opp
-2.0
Margin
40.9%
FG%
27.3%
3P%
66.7%
FT%
33.0
RPG
5.0
APG
31.0
TO
84.2
Pace
Model Outputs
2025-2026 latest available
No materialized model snapshot for 2025 yet, so this section is showing the latest available team-model rows.
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 954 (#472) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +8.3 (#223) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.495 (#222) | AdjO 60.8 | AdjD 61.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.647 (#224) | 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 → | 0.614 (#224) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 983 (#218) | RD 135 | GP 24 |
2025 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-03-11 | @ | Sam Houston Bearkats | L | 53 - 55 |
2025 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
E. Harris
|
G | 1 | 23.0 | 13.0 | 2.0 | 0.0 | 1.0 | 0.0 | 3.0 | 8.0 | 5.0 | 3 | 0.1 | 0.2 | 50.0 | 66.7 | 75.0 | 0.4 | 66.6 | 62.5 |
M. Sanchez-Ponce
|
F | 1 | 34.0 | 8.0 | 7.0 | 1.0 | 0.0 | 1.0 | 7.0 | 5.0 | 5.0 | - | - | - | 60.0 | 0.0 | 100.0 | - | 68.0 | 60.0 |
B. Rhodes
|
F | 1 | 21.0 | 7.0 | 3.0 | 1.0 | 2.0 | 2.0 | 4.0 | 4.0 | 7.0 | 0 | 0.0 | 0.0 | 50.0 | 0 | 75.0 | 0.18 | 60.8 | 50.0 |
S. Steele
|
G | 1 | 15.0 | 7.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 5.0 | 0.0 | -10 | -0.5 | -4.2 | 60.0 | 100.0 | 0 | 0.29 | 70.0 | 70.0 |
A. Barclay
|
F | 1 | 23.0 | 7.0 | 5.0 | 1.0 | 1.0 | 0.0 | 3.0 | 5.0 | 6.0 | 12 | 0.4 | 0.8 | 60.0 | 0 | 33.3 | 0.74 | 55.4 | 60.0 |
M. Barnes
|
F | 1 | 29.0 | 5.0 | 10.0 | 0.0 | 0.0 | 0.0 | 3.0 | 9.0 | 3.0 | -35 | -1.2 | -1.6 | 11.1 | 0.0 | 75.0 | 0.48 | 23.2 | 11.1 |
E. Sample
|
G | 1 | 21.0 | 4.0 | 0.0 | 1.0 | 2.0 | 0.0 | 1.0 | 1.0 | 5.0 | -38 | -1.4 | -2.5 | 100.0 | 0 | 100.0 | 0.13 | 106.4 | 100.0 |
V. Saric
|
F | 1 | 7.0 | 2.0 | 0.0 | 0.0 | 1.0 | 0.0 | 2.0 | 3.0 | -2.0 | -12 | -0.4 | -0.9 | 33.3 | 0.0 | 0 | -0.05 | 33.3 | 33.3 |
S. May
|
G | 1 | 10.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -15 | -0.5 | -1.1 | 0 | 0 | 0.0 | 0.48 | 0.0 | 0 |
C. Gonzalez Planella
|
G | 1 | 15.0 | 0.0 | 2.0 | 1.0 | 0.0 | 0.0 | 4.0 | 4.0 | -5.0 | -28 | -1.0 | -1.6 | 0.0 | 0.0 | 0 | 0.09 | 0.0 | 0.0 |
K. Thornsbury
|
G | 1 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | -2.0 | 0 | 0.0 | 0.0 | 0 | 0 | 0 | -0.11 | 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