Cal Poly
2018 Team Stats (1 games)
53.0
PPG
75.0
Opp
-22.0
Margin
27.5%
FG%
18.8%
3P%
91.7%
FT%
27.0
RPG
11.0
APG
7.0
TO
-
Est. poss./game
65.9
Adj PPG
75.6
Adj Opp PPG
#313
Scoring Rank
Model Outputs
2017-2018
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 โ | 674 (#329) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 814 (#300) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 878 (#323) | HCA +95 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | -10.1 (#308) | HCA +2.9 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | -13.2 (#333) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.173 (#328) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.140 (#320) | AdjNet -15.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.139 (#320) | AdjNet -15.8 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.293 (#313) | AdjO 65.9 | AdjD 75.6 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.283 (#339) | AdjO 66.3 | AdjD 76.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.206 (#327) | 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 โ | 0.204 (#328) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More โ | 754 (#320) | RD 137 | GP 29 |
2018 Schedule & Results
2018 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 GP | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Victor Joseph
|
G | 24 | 28.3 | 13.9 | 2.5 | 1.7 | 0.9 | 0.2 | 1.7 | 0.9 | 16.5 | -57 | 25 | -2.3 | -3.3 | 36.4 | 33.3 | 91.7 | -0.86 | 612.2 | 40.9 |
Donovan Fields
|
G | 24 | 31.1 | 12.5 | 2.8 | 3.6 | 1.1 | 0.1 | 2.1 | 1.0 | 17.0 | -76 | 25 | -3.0 | -4.0 | 30.4 | 20.0 | 100.0 | 0.32 | 605.8 | 32.6 |
G. Vincent
|
- | 2 | 25.5 | 10.5 | 2.5 | 4.0 | 2.0 | 0.5 | 0.5 | 0.0 | 19.0 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Josh Martin
|
F | 20 | 20.6 | 8.8 | 5.6 | 1.2 | 0.2 | 0.6 | 1.9 | 0.7 | 13.8 | -149 | 19 | -7.8 | -17.6 | 28.6 | 33.3 | 50.0 | -5.5 | 588.0 | 32.1 |
Luke Meikle
|
F | 24 | 24.5 | 8.1 | 4.1 | 1.3 | 0.4 | 0.3 | 1.0 | 0.5 | 12.8 | -21 | 25 | -0.8 | -1.4 | 27.3 | 0.0 | 100.0 | 0.71 | 816.5 | 27.3 |
Jakub Niziol
|
F | 23 | 17.2 | 6.1 | 2.3 | 0.8 | 0.5 | 0.3 | 0.5 | 0.5 | 8.9 | -62 | 25 | -2.5 | -6.2 | 18.2 | 25.0 | 100.0 | -1.88 | 589.2 | 27.3 |
Marcellus Garrick
|
G | 22 | 16.4 | 5.7 | 1.6 | 0.3 | 0.3 | 0.1 | 0.6 | 0.2 | 7.3 | -22 | 23 | -1.0 | -2.4 | 25.0 | 0.0 | 100.0 | -1.39 | 1093.8 | 25.0 |
Hank Hollingsworth
|
F | 24 | 19.1 | 2.8 | 3.2 | 0.1 | 0.2 | 1.7 | 1.0 | 0.1 | 6.9 | -25 | 25 | -1.0 | -2.2 | 33.3 | 0 | 50.0 | 0.84 | 863.4 | 33.3 |
Trevor John
|
G | 19 | 9.3 | 2.7 | 0.5 | 0.5 | 0.1 | 0.0 | 0.2 | 0.2 | 3.3 | -25 | 17 | -1.5 | -7.5 | 25.0 | 33.3 | 0 | -0.37 | 637.5 | 37.5 |
Iziah James
|
G | 21 | 10.4 | 2.6 | 0.9 | 0.7 | 0.4 | 0.0 | 0.9 | 0.1 | 3.7 | -40 | 20 | -2.0 | -8.5 | 50.0 | 100.0 | 50.0 | -1.97 | 954.9 | 75.0 |
Mark Crowe
|
G | 24 | 16.9 | 2.3 | 2.1 | 0.8 | 0.7 | 0.2 | 0.6 | 0.2 | 5.4 | -88 | 25 | -3.5 | -8.4 | 60.0 | 0.0 | 0 | -4.18 | 560.0 | 60.0 |
Karlis Garoza
|
F | 15 | 11.9 | 2.0 | 2.7 | 0.6 | 0.3 | 0.2 | 0.9 | 0.2 | 4.7 | -31 | 17 | -1.8 | -6.4 | 0.0 | 0 | 100.0 | -0.35 | 386.6 | 0.0 |
Aleks Abrams
|
F | 18 | 11.3 | 1.9 | 3.4 | 0.2 | 0.2 | 0.3 | 0.4 | 0.3 | 5.3 | -39 | 19 | -2.1 | -6.4 | 100.0 | 0 | 100.0 | -1.75 | 258.9 | 100.0 |
Paulo Cruz
|
F | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 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