Montana
2023 Team Stats (20 games)
69.0
PPG
68.6
Opp
-1.4
Margin
46.4%
FG%
38.4%
3P%
79.0%
FT%
29.8
RPG
12.2
APG
11.2
TO
71.0
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 → | 1056 (#224) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1140 (#194) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +22.5 (#192) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.264 (#102) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.488 (#181) | NetEff -0.5 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.100 (#110) | AdjNet -19.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.097 (#110) | AdjNet -19.4 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Aanen Moody
|
- | 17 | 34.3 | 14.9 | 3.2 | 1.8 | 0.5 | 0.1 | 1.6 | 11.6 | 7.2 | - | - | - | 43.9 | 39.0 | 80.5 | - | 58.6 | 54.3 |
J. Bannan
|
- | 21 | 33.9 | 14.3 | 7.9 | 3.5 | 0.7 | 0.5 | 2.6 | 9.8 | 14.6 | - | - | - | 49.0 | 32.1 | 76.8 | - | 63.7 | 51.2 |
Dischon Thomas
|
- | 21 | 26.7 | 11.3 | 4.1 | 0.7 | 0.4 | 0.5 | 1.8 | 7.9 | 7.3 | 20 | 2.5 | 4.6 | 44.0 | 35.4 | 82.4 | 0.98 | 65.5 | 52.4 |
Brandon Whitney
|
G | 20 | 30.6 | 10.0 | 2.2 | 2.2 | 0.6 | 0.1 | 1.4 | 6.0 | 7.7 | - | - | - | 53.7 | 25.0 | 73.3 | - | 71.0 | 55.4 |
L. Martin Jr.
|
- | 19 | 28.9 | 7.4 | 2.6 | 1.9 | 0.3 | 0.1 | 1.1 | 5.5 | 5.7 | 62 | 4.8 | 6.6 | 40.0 | 40.8 | 90.9 | 1.25 | 64.2 | 53.8 |
Josh Vazquez
|
- | 21 | 21.5 | 6.2 | 1.4 | 0.8 | 0.9 | 0.2 | 0.8 | 4.6 | 4.1 | -2 | -0.2 | -0.4 | 36.5 | 36.5 | 93.8 | 0.41 | 59.0 | 48.4 |
J. Brown
|
- | 11 | 9.7 | 3.2 | 0.7 | 0.3 | 0.4 | 0.0 | 0.5 | 1.3 | 2.7 | -21 | -1.8 | -3.8 | 64.3 | 75.0 | 66.7 | 0.17 | 114.2 | 75.0 |
Jaxon Nap
|
- | 19 | 9.4 | 1.8 | 1.1 | 0.4 | 0.1 | 0.0 | 0.5 | 1.2 | 1.7 | - | - | - | 43.5 | 33.3 | 37.5 | - | 64.1 | 52.2 |
M'Head-Makayla Anderson
|
- | 17 | 12.5 | 1.7 | 2.8 | 0.6 | 0.4 | 0.4 | 0.6 | 0.9 | 4.4 | 10 | 1.2 | 2.5 | 56.2 | 0 | 78.6 | 0.66 | 65.4 | 56.2 |
Laolu Oke
|
- | 20 | 9.5 | 1.7 | 2.5 | 0.3 | 0.7 | 0.1 | 0.5 | 0.9 | 3.9 | - | - | - | 72.2 | 0 | 54.5 | - | 74.4 | 72.2 |
J. Solomon
|
- | 3 | 1.3 | 0.0 | 0.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7 | -0.3 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
I. Kerr
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 26 | 3.7 | 7.8 | - | - | - | 0.53 | - | - |
T. Lawrence
|
- | 2 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | 0.02 | 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