Cal Poly
2022 Team Stats (2 games)
65.0
PPG
67.5
Opp
-6.0
Margin
46.2%
FG%
29.4%
3P%
73.3%
FT%
32.5
RPG
10.0
APG
14.5
TO
74.1
Pace
Model Outputs
2021-2022
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 → | 1008 (#274) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 927 (#611) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1152 (#22) | HCA +115 elo |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 870 (#629) | HCA +115 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +14.7 (#328) | HCA +2.7 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +16.1 (#112) | HCA +2.4 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +1.8 (#326) | HCA +2.4 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.206 (#106) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.282 (#187) | NetEff -8.4 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.082 (#111) | AdjNet -20.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.080 (#111) | AdjNet -21.1 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.626 (#96) | AdjO 71.7 | AdjD 66.0 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.403 (#566) | AdjO 63.0 | AdjD 67.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.816 (#105) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.457 (#345) | 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 → | 0.799 (#98) | 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 → | 0.427 (#368) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1262 (#36) | RD 110 | GP 31 |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 822 (#601) | RD 147 | GP 26 |
2022 Schedule & Results
2022 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Davison
|
G | 1 | 34.0 | 17.0 | 5.0 | 3.0 | 1.0 | 1.0 | 2.0 | 15.0 | 10.0 | -17 | -2.4 | -3.6 | 46.7 | 40.0 | 50.0 | 0.37 | 53.5 | 53.3 |
A. Koroma
|
- | 26 | 27.0 | 13.8 | 5.6 | 0.5 | 0.7 | 0.9 | 2.4 | 2.0 | 17.0 | -83 | -3.0 | -4.4 | 47.2 | 9.1 | 38.5 | -0.17 | 305.7 | 48.1 |
T. Taylor
|
- | 3 | 33.7 | 13.7 | 7.3 | 1.3 | 0.3 | 0.3 | 1.3 | 2.3 | 19.3 | -72 | -2.7 | -3.6 | 57.1 | 50.0 | 66.7 | 0.32 | 212.7 | 64.3 |
C. Welp
|
F | 2 | 24.5 | 11.0 | 2.5 | 1.5 | 1.0 | 0.5 | 1.0 | 3.5 | 12.0 | 46 | 1.8 | 2.7 | 42.9 | 0.0 | 100.0 | 0.41 | 125.6 | 42.9 |
C. Pierce
|
- | 26 | 30.3 | 9.3 | 3.8 | 4.2 | 0.7 | 0.0 | 3.2 | 2.0 | 12.8 | -55 | -2.0 | -2.8 | 40.4 | 5.6 | 85.0 | 0.48 | 198.2 | 41.3 |
C. Hunter
|
- | 1 | 15.0 | 9.0 | 3.0 | 1.0 | 0.0 | 0.0 | 1.0 | 0.0 | 12.0 | -140 | -4.7 | -5.9 | 0 | 0 | 0 | 0.9 | 0 | 0 |
I. Lee
|
G | 2 | 26.5 | 6.5 | 4.5 | 0.5 | 1.0 | 0.0 | 1.5 | 2.0 | 9.0 | 95 | 3.8 | 8.7 | 75.0 | 66.7 | 0.0 | 1.27 | 146.4 | 100.0 |
Kobe Sanders
|
- | 26 | 24.6 | 6.3 | 2.3 | 1.8 | 0.6 | 0.2 | 1.8 | 1.3 | 8.2 | -127 | -4.7 | -7.7 | 38.2 | 40.9 | 80.0 | -0.7 | 212.2 | 51.5 |
Brantly Stevenson
|
G | 4 | 29.5 | 6.0 | 4.2 | 2.5 | 1.5 | 0.5 | 2.0 | 5.5 | 7.2 | -104 | -4.2 | -5.7 | 40.9 | 14.3 | 33.3 | -0.45 | 51.5 | 43.2 |
J. Franklin
|
- | 26 | 21.2 | 4.3 | 3.4 | 0.7 | 0.4 | 0.2 | 1.1 | 1.1 | 6.9 | -128 | -4.6 | -8.3 | 35.7 | 35.3 | 33.3 | 0.85 | 184.4 | 46.4 |
H. Ruck
|
- | 1 | 3.0 | 3.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 3.0 | - | - | - | 50.0 | 0 | 100.0 | - | 61.5 | 50.0 |
T. Jaakkola
|
- | 26 | 9.9 | 2.5 | 1.7 | 0.2 | 0.2 | 0.2 | 0.6 | 0.3 | 3.9 | -70 | -2.5 | -9.6 | 12.5 | 0 | 87.5 | -0.74 | 286.5 | 12.5 |
A. Kennedy
|
F | 1 | 22.0 | 2.0 | 2.0 | 1.0 | 0.0 | 0.0 | 1.0 | 4.0 | 0.0 | -8 | -0.9 | -3.5 | 25.0 | 0.0 | 0 | -0.15 | 25.0 | 25.0 |
H. Jory
|
- | 10 | 2.9 | 0.6 | 0.4 | 0.0 | 0.0 | 0.1 | 0.4 | 0.1 | 0.6 | - | - | - | 0.0 | 0 | 0 | - | 300.0 | 0.0 |
N. Carlson
|
- | 4 | 2.2 | 0.5 | 0.0 | 0.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.8 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
K. Colvin
|
F | 4 | 10.0 | 0.5 | 2.2 | 0.0 | 0.2 | 0.0 | 1.2 | 0.2 | 1.5 | -78 | -3.2 | -6.1 | 0.0 | 0 | 0 | -0.21 | 100.0 | 0.0 |
M. Dhal
|
- | 2 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 0.0 | 0.5 | 0.0 | -17 | -1.3 | -14.1 | 0.0 | 0 | 0 | -0.1 | 0.0 | 0.0 |
D. Esparza
|
C | 2 | 2.0 | 0.0 | 0.5 | 0.0 | 0.5 | 0.0 | 0.0 | 0.0 | 1.0 | -61 | -3.8 | -20.9 | 0 | 0 | 0 | -0.88 | 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