Montana Lady Griz
2025 Team Stats (4 games)
60.8
PPG
68.5
Opp
-7.7
Margin
42.3%
FG%
34.4%
3P%
86.7%
FT%
32.8
RPG
12.3
APG
17.8
TO
76.1
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 → | 911 (#515) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +2.3 (#297) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.376 (#488) | AdjO 60.6 | AdjD 66.1 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.547 (#275) | 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 → | 0.497 (#280) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 886 (#433) | RD 144 | GP 28 |
2025 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2024-12-19 | vs | Michigan State Spartans | L | 38 - 69 |
| 2025-03-03 | @ | Eastern Washington Eagles | L | 77 - 80 |
| 2025-03-11 | @ | Northern Arizona Lumberjacks | W | 71 - 67 |
| 2025-03-12 | @ | Montana State Bobcats | L | 57 - 58 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
M. Konig
|
G | 4 | 32.8 | 16.0 | 2.8 | 6.5 | 0.8 | 0.0 | 5.0 | 11.0 | 10.0 | 72 | 2.3 | 2.9 | 54.5 | 37.5 | 86.7 | 1.02 | 63.2 | 58.0 |
T. McCliment-Call
|
G | 4 | 30.0 | 10.2 | 5.0 | 0.5 | 1.0 | 0.0 | 3.0 | 13.2 | 0.5 | 40 | 1.3 | 2.1 | 32.1 | 30.4 | 0.0 | 0.58 | 38.0 | 38.7 |
A. Waddington
|
G | 4 | 31.0 | 10.2 | 7.5 | 2.0 | 0.8 | 1.0 | 2.5 | 9.5 | 9.5 | 49 | 1.5 | 2.1 | 44.7 | 20.0 | 100.0 | 1.22 | 51.0 | 47.4 |
D. Bartsch
|
F | 4 | 27.8 | 8.5 | 3.8 | 0.8 | 0.2 | 0.8 | 0.8 | 6.2 | 7.0 | 83 | 2.7 | 4.1 | 44.0 | 35.0 | 100.0 | 1.09 | 62.5 | 58.0 |
MJ Bruno
|
G | 4 | 27.8 | 5.8 | 3.8 | 1.2 | 2.0 | 0.0 | 1.5 | 4.8 | 6.5 | 41 | 1.2 | 2.0 | 47.4 | 45.5 | 0 | 0.92 | 60.5 | 60.5 |
I. Zingaro
|
C | 2 | 15.0 | 5.5 | 2.0 | 0.0 | 0.0 | 0.5 | 2.0 | 5.5 | 0.5 | 49 | 1.5 | 3.3 | 36.4 | 0 | 100.0 | 0.46 | 44.6 | 36.4 |
A. Shubert
|
G | 4 | 14.0 | 4.2 | 1.0 | 0.5 | 0.0 | 0.0 | 0.2 | 3.0 | 2.5 | -8 | -0.3 | -0.7 | 50.0 | 50.0 | 0 | -0.04 | 70.8 | 70.8 |
A. Lincoln
|
G | 4 | 14.8 | 1.8 | 1.5 | 0.2 | 0.5 | 0.2 | 1.5 | 2.2 | 0.5 | 34 | 1.1 | 2.2 | 33.3 | 25.0 | 0 | 0.53 | 38.9 | 38.9 |
M. Donarski
|
G | 3 | 10.7 | 1.7 | 1.3 | 0.3 | 0.0 | 0.0 | 0.3 | 1.3 | 1.7 | 9 | 0.3 | 0.8 | 50.0 | 100.0 | 0 | 0.28 | 62.5 | 62.5 |
D. Wacker
|
G | 1 | 10.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 3.0 | -4.0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | -0.42 | 0.0 | 0.0 |
A. Pirog
|
F | 2 | 8.0 | 0.0 | 1.0 | 0.5 | 0.5 | 0.5 | 0.0 | 1.0 | 1.5 | 30 | 1.2 | 3.3 | 0.0 | 0 | 0 | 0.22 | 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