Montana State
2024 Team Stats (34 games)
75.1
PPG
74.5
Opp
+0.8
Margin
46.6%
FG%
36.7%
3P%
73.3%
FT%
30.3
RPG
13.1
APG
11.6
TO
76.6
Pace
Model Outputs
2023-2024
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 → | 1117 (#162) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1073 (#230) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +20.8 (#190) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.486 (#63) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.474 (#190) | NetEff -1.0 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.136 (#104) | AdjNet -16.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.134 (#104) | AdjNet -16.2 |
2024 Schedule & Results
2024 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. Ford III
|
- | 35 | 33.9 | 16.2 | 7.6 | 3.0 | 2.9 | 0.2 | 2.3 | 10.9 | 16.7 | 113 | 5.9 | 24.1 | 48.7 | 44.0 | 78.5 | 0.47 | 63.9 | 59.7 |
Brian Goracke
|
- | 35 | 30.4 | 13.5 | 4.3 | 0.8 | 0.6 | 0.5 | 1.6 | 10.1 | 8.1 | 6 | 0.6 | 1.1 | 43.6 | 36.5 | 86.5 | 0.18 | 58.9 | 53.4 |
B. Walker
|
- | 35 | 19.6 | 13.1 | 4.0 | 1.1 | 0.5 | 0.2 | 1.8 | 9.5 | 7.5 | 13 | 1.3 | 4.3 | 56.3 | 31.0 | 57.9 | 0.1 | 59.3 | 58.3 |
P. McMahon
|
- | 3 | 26.0 | 13.0 | 2.3 | 0.7 | 0.7 | 0.0 | 0.7 | 8.0 | 8.0 | - | - | - | 66.7 | 40.0 | 83.3 | - | 73.2 | 70.8 |
Jaqari Miles
|
- | 1 | 7.0 | 10.0 | 1.0 | 1.0 | 1.0 | 0.0 | 0.0 | 6.0 | 7.0 | -19 | -1.5 | -7.8 | 66.7 | 66.7 | 0.0 | -0.22 | 77.6 | 83.3 |
E. Turner III
|
- | 32 | 28.7 | 9.4 | 2.2 | 3.7 | 1.9 | 0.0 | 2.0 | 8.2 | 7.0 | 70 | 3.0 | 17.3 | 44.1 | 37.5 | 76.6 | 0.2 | 53.1 | 50.4 |
Tyler Patterson
|
- | 35 | 35.3 | 8.2 | 2.2 | 0.7 | 1.0 | 0.1 | 0.5 | 7.2 | 4.5 | 15 | 1.5 | 2.5 | 40.5 | 37.3 | 78.6 | 0.24 | 55.6 | 54.8 |
Sam Lecholat
|
- | 35 | 22.2 | 5.5 | 3.7 | 1.3 | 0.5 | 0.8 | 0.9 | 4.0 | 6.7 | 12 | 1.2 | 2.5 | 46.1 | 32.9 | 69.8 | -0.04 | 58.1 | 54.6 |
John Olmsted
|
- | 27 | 9.8 | 3.6 | 1.7 | 0.9 | 0.1 | 0.2 | 0.6 | 2.4 | 3.5 | 17 | 1.7 | 5.2 | 62.5 | 50.0 | 61.9 | -0.07 | 65.5 | 64.8 |
Chika Nduka
|
- | 30 | 13.6 | 3.4 | 1.6 | 1.2 | 0.5 | 0.1 | 0.8 | 3.0 | 3.0 | -6 | -1.2 | -12.7 | 43.8 | 0.0 | 55.6 | -0.11 | 47.3 | 43.8 |
J. Miller
|
- | 23 | 10.5 | 2.5 | 1.4 | 1.1 | 0.7 | 0.1 | 0.5 | 2.7 | 2.7 | 1 | 0.1 | 0.6 | 29.0 | 22.5 | 86.7 | -0.15 | 42.3 | 36.3 |
J. Geron
|
- | 21 | 10.7 | 2.3 | 1.1 | 0.7 | 0.1 | 0.3 | 0.7 | 2.0 | 1.9 | -7 | -1.8 | -49.4 | 30.2 | 28.6 | 83.3 | -0.07 | 48.1 | 39.5 |
Carter Ash
|
- | 7 | 1.6 | 0.6 | 0.1 | 0.1 | 0.0 | 0.0 | 0.0 | 0.4 | 0.4 | -2 | -1.0 | -82.8 | 66.7 | 0.0 | 0 | -0.05 | 66.7 | 66.7 |
L. Colceag
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
C. Rutherfurd
|
F | 0 | - | 0.0 | 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