Indiana State Sycamores
2025 Team Stats (4 games)
61.8
PPG
80.2
Opp
-18.4
Margin
34.3%
FG%
19.7%
3P%
71.3%
FT%
41.3
RPG
9.3
APG
17.5
TO
89.8
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 → | 912 (#513) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +0.3 (#315) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.328 (#534) | AdjO 71.7 | AdjD 79.6 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.447 (#318) | 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 → | 0.418 (#324) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 826 (#525) | RD 130 | GP 31 |
2025 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2024-11-07 | @ | Iowa State Cyclones | L | 42 - 64 |
| 2025-02-07 | @ | Missouri State Bears | L | 61 - 76 |
| 2025-02-21 | @ | UIC Flames | L | 71 - 94 |
| 2025-03-13 | @ | Northern Iowa Panthers | L | 73 - 87 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
K. Secrist
|
G | 4 | 33.5 | 12.5 | 5.0 | 0.2 | 0.8 | 0.5 | 1.8 | 11.5 | 5.8 | -8 | -0.3 | -0.3 | 43.5 | 20.0 | 100.0 | 0.71 | 50.5 | 45.7 |
Demontrel Jones
|
G | 4 | 34.0 | 12.2 | 6.0 | 4.8 | 2.0 | 0.2 | 5.2 | 12.5 | 7.5 | 65 | 2.0 | 3.2 | 34.0 | 18.2 | 61.9 | 0.94 | 41.4 | 36.0 |
M. Simpson
|
G | 2 | 30.0 | 12.0 | 7.5 | 2.0 | 0.5 | 0.0 | 4.0 | 10.5 | 7.5 | -19 | -0.8 | -1.0 | 42.9 | 0.0 | 85.7 | 0.17 | 49.8 | 42.9 |
C. Williams
|
F | 1 | 22.0 | 9.0 | 7.0 | 0.0 | 2.0 | 3.0 | 2.0 | 9.0 | 10.0 | 32 | 1.1 | 2.3 | 33.3 | 33.3 | 66.7 | 0.65 | 43.6 | 38.9 |
B. Finnegan
|
G | 3 | 29.7 | 8.0 | 2.3 | 0.3 | 1.0 | 0.7 | 0.3 | 12.3 | -0.3 | -16 | -0.7 | -0.7 | 24.3 | 18.8 | 75.0 | 0.25 | 31.0 | 28.4 |
Q. Ruffin
|
G | 4 | 18.2 | 7.8 | 2.0 | 1.5 | 0.5 | 0.0 | 2.2 | 6.0 | 3.5 | -15 | -0.5 | -0.8 | 33.3 | 36.4 | 57.9 | 0.37 | 47.9 | 41.7 |
S. White
|
F | 4 | 23.5 | 5.8 | 7.5 | 1.2 | 1.5 | 1.8 | 1.5 | 6.0 | 10.2 | -7 | -0.2 | -0.3 | 29.2 | 0.0 | 64.3 | 0.85 | 38.1 | 29.2 |
S. Stahl
|
F | 4 | 17.5 | 5.2 | 4.5 | 0.0 | 0.2 | 0.5 | 2.0 | 2.5 | 6.0 | 10 | 0.4 | 0.6 | 70.0 | 50.0 | 100.0 | 0.69 | 83.1 | 75.0 |
D. Smith
|
G | 4 | 18.8 | 4.0 | 1.8 | 0.2 | 0.0 | 0.2 | 1.2 | 5.2 | -0.2 | 4 | 0.6 | 4.9 | 28.6 | 0.0 | 80.0 | 0.16 | 34.5 | 28.6 |
L. Yarbrough
|
F | 1 | 9.0 | 0.0 | 4.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 3.0 | 0 | 0.0 | 0.0 | 0 | 0 | 0 | -1.31 | 0 | 0 |
L. Niebuhr
|
F | 1 | 4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | -2.0 | 0 | 0.0 | 0.0 | 0.0 | 0 | 0 | -1.73 | 0.0 | 0.0 |
S. Brar
|
G | 4 | 8.5 | 0.0 | 1.5 | 0.0 | 0.2 | 0.0 | 0.0 | 2.0 | -0.2 | 10 | 0.4 | 1.0 | 0.0 | 0.0 | 0 | 0.17 | 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