Peru State Bobcats
2026 Team Stats (1 games)
46.0
PPG
94.0
Opp
-48.0
Margin
34.0%
FG%
33.3%
3P%
25.0%
FT%
24.0
RPG
10.0
APG
15.0
TO
71.5
Pace
Model Outputs
2025-2026
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 → | 996 (#354) | HCA +109 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -16.2 (#561) | HCA +2.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.463 (#439) | AdjO 72.1 | AdjD 73.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.195 (#580) | 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 → | 0.240 (#573) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 925 (#393) | RD 350 | GP 1 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-17 | @ | South Dakota State Jackrabbits | L | 46 - 94 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A. Lovette
|
- | 1 | 25.0 | 10.0 | 2.0 | 1.0 | 0.0 | 0.0 | 3.0 | 8.0 | 2.0 | - | - | - | 50.0 | 50.0 | 0.0 | - | 59.2 | 62.5 |
T. Griggs
|
- | 1 | 17.0 | 9.0 | 3.0 | 1.0 | 0.0 | 0.0 | 1.0 | 5.0 | 7.0 | - | - | - | 60.0 | 75.0 | 0 | - | 90.0 | 90.0 |
L. Lee
|
- | 1 | 23.0 | 6.0 | 3.0 | 0.0 | 2.0 | 0.0 | 0.0 | 6.0 | 5.0 | - | - | - | 33.3 | 40.0 | 0 | - | 50.0 | 50.0 |
J. Hollins
|
G | 1 | 21.0 | 4.0 | 6.0 | 3.0 | 1.0 | 0.0 | 2.0 | 3.0 | 9.0 | - | - | - | 66.7 | 0 | 0 | - | 66.7 | 66.7 |
D. Johnson
|
- | 1 | 12.0 | 4.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 6.0 | 0.0 | -33 | -1.4 | -4.6 | 33.3 | 0 | 0 | -0.38 | 33.3 | 33.3 |
C. Iheukwu
|
- | 1 | 19.0 | 3.0 | 1.0 | 0.0 | 0.0 | 0.0 | 2.0 | 4.0 | -2.0 | - | - | - | 25.0 | 33.3 | 0 | - | 37.5 | 37.5 |
V. Lado
|
- | 1 | 16.0 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 6.0 | -3.0 | - | - | - | 16.7 | 0.0 | 0 | - | 16.7 | 16.7 |
I. Poindexter
|
- | 1 | 18.0 | 2.0 | 2.0 | 1.0 | 1.0 | 0.0 | 2.0 | 3.0 | 1.0 | - | - | - | 33.3 | 0.0 | 0.0 | - | 25.8 | 33.3 |
E. Stubblefield
|
- | 1 | 15.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | -2.0 | - | - | - | 25.0 | 0.0 | 0.0 | - | 22.5 | 25.0 |
Q. Wright
|
- | 1 | 23.0 | 2.0 | 2.0 | 3.0 | 0.0 | 1.0 | 0.0 | 5.0 | 3.0 | - | - | - | 20.0 | 0.0 | 0.0 | - | 17.0 | 20.0 |
S. Hensley
|
- | 1 | 11.0 | 2.0 | 2.0 | 0.0 | 0.0 | 0.0 | 2.0 | 3.0 | -1.0 | - | - | - | 0.0 | 0.0 | 100.0 | - | 25.8 | 0.0 |
Christian Tidiane
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
A. Diongue
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
S. Mathieu
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Jack Vankat
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
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