Montana State
2023 Team Stats (20 games)
71.3
PPG
68.5
Opp
+3.5
Margin
45.7%
FG%
31.4%
3P%
77.3%
FT%
31.0
RPG
10.8
APG
11.5
TO
73.7
Pace
Model Outputs
2022-2023
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 → | 1136 (#165) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1144 (#188) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +23.6 (#171) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.669 (#20) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.657 (#75) | NetEff +5.9 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.334 (#83) | AdjNet -6.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.325 (#83) | AdjNet -6.4 |
2023 Schedule & Results
2023 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
R. Battle
|
- | 21 | 31.4 | 19.3 | 2.1 | 0.7 | 0.8 | 0.6 | 1.5 | 13.6 | 8.4 | - | - | - | 47.6 | 41.5 | 83.3 | - | 62.2 | 53.5 |
J. Belo
|
- | 22 | 26.2 | 13.8 | 6.4 | 1.0 | 0.6 | 1.1 | 2.5 | 7.0 | 13.3 | - | - | - | 58.7 | 0.0 | 77.2 | - | 70.5 | 58.7 |
Great Osobor
|
- | 21 | 19.8 | 10.1 | 4.6 | 1.0 | 0.7 | 0.9 | 2.1 | 5.9 | 9.2 | - | - | - | 60.5 | 0.0 | 65.9 | - | 65.1 | 60.5 |
Darius Brown Ii
|
- | 21 | 32.0 | 10.0 | 4.4 | 5.8 | 2.0 | 0.0 | 1.8 | 7.1 | 13.2 | 66 | 6.6 | 11.7 | 50.3 | 39.5 | 88.9 | 1.76 | 61.9 | 56.0 |
C. Fuller
|
- | 21 | 25.2 | 6.9 | 2.7 | 1.1 | 0.5 | 0.0 | 1.1 | 4.7 | 5.4 | - | - | - | 42.9 | 27.0 | 91.5 | - | 60.7 | 48.0 |
Tyler Patterson
|
- | 22 | 25.0 | 4.2 | 1.5 | 0.4 | 0.4 | 0.2 | 0.6 | 3.9 | 2.2 | 31 | 5.2 | 21.3 | 36.0 | 34.2 | 100.0 | 0.16 | 53.5 | 51.2 |
R. Ford III
|
- | 22 | 20.5 | 3.8 | 3.5 | 1.5 | 0.8 | 0.1 | 1.3 | 3.8 | 4.7 | 62 | 5.6 | 9.0 | 22.9 | 21.6 | 76.7 | 1.51 | 41.2 | 29.5 |
Sam Lecholat
|
- | 22 | 9.9 | 2.7 | 1.8 | 0.2 | 0.2 | 0.1 | 0.5 | 1.7 | 2.9 | - | - | - | 35.1 | 13.3 | 59.0 | - | 54.5 | 37.8 |
P. McMahon
|
- | 4 | 18.8 | 2.5 | 1.8 | 0.2 | 0.5 | 0.2 | 1.0 | 2.0 | 2.2 | 32 | 2.0 | 2.7 | 25.0 | 0.0 | 20.0 | 1.48 | 49.0 | 25.0 |
N. Gazelas
|
- | 17 | 10.1 | 1.9 | 0.3 | 0.3 | 0.2 | 0.0 | 0.4 | 1.8 | 0.5 | - | - | - | 36.7 | 35.3 | 57.1 | - | 48.4 | 46.7 |
J. Miller
|
- | 10 | 3.3 | 1.3 | 0.1 | 0.2 | 0.2 | 0.0 | 0.0 | 1.0 | 0.8 | -56 | -4.7 | -5.9 | 50.0 | 37.5 | 0 | 0.09 | 65.0 | 65.0 |
Carter Ash
|
- | 3 | 1.0 | 0.7 | 0.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7 | 0.3 | - | - | - | 50.0 | 0 | 0 | - | 50.0 | 50.0 |
A. Germer
|
- | 6 | 2.0 | 0.2 | 0.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7 | -0.2 | - | - | - | 0.0 | 0.0 | 50.0 | - | 10.2 | 0.0 |
B. Fernandez
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
J. Reinalda
|
C | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | 0.09 | - | - |
L. Colceag
|
- | 6 | 1.5 | 0.0 | 0.3 | 0.0 | 0.0 | 0.0 | 0.2 | 0.3 | -0.2 | -24 | -2.7 | -7.7 | 0.0 | 0.0 | 0 | 0.06 | 0.0 | 0.0 |
A. Anderson
|
G | 1 | 4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | -1.0 | 80 | 6.2 | 8.9 | 0 | 0 | 0 | 2.05 | 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