Cal Poly Mustangs
2024 Team Stats (5 games)
50.6
PPG
69.6
Opp
-19.0
Margin
32.7%
FG%
30.6%
3P%
81.6%
FT%
37.8
RPG
11.4
APG
18.4
TO
81.7
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 → | 821 (#336) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 793 (#343) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +2.7 (#331) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.025 (#381) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.003 (#109) | AdjNet -50.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.002 (#110) | AdjNet -51.9 |
2024 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2023-11-06 | @ | Washington State Cougars | L | 61 - 78 |
| 2023-11-16 | @ | Stanford Cardinal | L | 32 - 86 |
| 2023-11-28 | @ | USC Trojans | L | 44 - 85 |
| 2023-12-28 | @ | Cal State Northridge Matadors | W | 68 - 43 |
| 2024-03-14 | vs | UC Davis Aggies | L | 48 - 56 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
M. Carter
|
G | 5 | 21.0 | 9.2 | 3.8 | 0.2 | 0.2 | 0.6 | 2.6 | 9.0 | 2.4 | -41 | -4.1 | -7.2 | 40.0 | 38.5 | 0 | -0.35 | 51.1 | 51.1 |
A. McNicholas
|
G | 5 | 31.2 | 8.6 | 4.6 | 4.0 | 1.4 | 0.4 | 1.6 | 11.0 | 6.4 | -38 | -5.4 | -6.0 | 27.3 | 31.2 | 66.7 | -0.42 | 35.7 | 31.8 |
N. Ackerman
|
F | 5 | 24.0 | 8.2 | 9.2 | 0.0 | 0.8 | 1.4 | 1.0 | 7.8 | 10.8 | 17 | 2.8 | 3.3 | 41.0 | 0 | 81.8 | 0.28 | 46.8 | 41.0 |
A. Shah
|
G | 5 | 27.8 | 7.6 | 1.8 | 1.8 | 0.6 | 0.0 | 1.8 | 9.4 | 0.6 | -24 | -3.4 | -3.2 | 34.0 | 30.0 | 0 | -0.22 | 40.4 | 40.4 |
S. Lichtie
|
F | 5 | 21.4 | 6.4 | 3.4 | 1.4 | 1.4 | 0.4 | 1.8 | 5.4 | 5.8 | 16 | 2.3 | 2.8 | 48.1 | 28.6 | 100.0 | 0.19 | 55.6 | 51.9 |
S. Bourland
|
G | 5 | 28.2 | 5.6 | 5.8 | 1.6 | 1.2 | 0.0 | 2.0 | 8.0 | 4.2 | -10 | -1.4 | -1.4 | 25.0 | 25.0 | 85.7 | 0.1 | 32.5 | 27.5 |
A. Olinger
|
F | 5 | 14.4 | 2.0 | 2.6 | 0.4 | 0.0 | 0.2 | 1.8 | 4.0 | -0.6 | -65 | -9.3 | -21.6 | 20.0 | 0.0 | 100.0 | -0.77 | 23.9 | 20.0 |
S. Richards
|
G | 4 | 23.0 | 2.0 | 1.5 | 1.2 | 2.0 | 0.2 | 3.5 | 4.0 | -0.5 | -33 | -4.7 | -6.2 | 25.0 | 0.0 | 0 | -0.41 | 25.0 | 25.0 |
D. Richardson
|
G | 4 | 8.8 | 1.0 | 0.8 | 0.8 | 0.8 | 0.0 | 1.0 | 1.5 | 0.8 | -18 | -3.0 | -3.5 | 16.7 | 0.0 | 100.0 | -0.09 | 29.1 | 16.7 |
J. Billing
|
G | 3 | 4.3 | 1.0 | 0.7 | 0.3 | 0.0 | 0.0 | 0.3 | 1.3 | 0.3 | - | - | - | 25.0 | 33.3 | 0 | - | 37.5 | 37.5 |
J. Hoffman
|
G | 4 | 5.0 | 0.0 | 0.2 | 0.2 | 0.2 | 0.0 | 0.2 | 0.2 | 0.2 | - | - | - | 0.0 | 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