Cal Poly
2015 Team Stats (1 games)
50.0
PPG
54.0
Opp
-4.0
Margin
37.7%
FG%
23.5%
3P%
75.0%
FT%
27.0
RPG
8.0
APG
8.0
TO
-
Est. poss./game
58.9
Adj PPG
58.4
Adj Opp PPG
#156
Scoring Rank
Model Outputs
2014-2015
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 | 927 (#221) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 961 (#205) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 941 (#258) | HCA +90 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +0.7 (#155) | HCA +2.9 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +0.4 (#164) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.452 (#192) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.474 (#168) | AdjNet -0.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.474 (#166) | AdjNet -0.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.513 (#156) | AdjO 58.9 | AdjD 58.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.499 (#175) | AdjO 58.6 | AdjD 58.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.445 (#204) | 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 | 0.442 (#211) | 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 | 923 (#229) | RD 135 | GP 27 |
2015 Schedule & Results
2015 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Brian Bennett
|
F | 27 | 30.3 | 11.6 | 6.3 | 0.9 | 0.7 | 0.3 | 1.2 | 3.3 | 15.4 | 9 | 22 | 0.4 | 0.6 | 52.3 | 0 | 66.7 | 0.85 | 163.2 | 52.3 |
David Nwaba
|
G | 23 | 27.2 | 11.3 | 4.7 | 1.4 | 1.3 | 0.6 | 1.5 | 2.4 | 15.4 | -33 | 19 | -1.7 | -2.8 | 41.1 | 0.0 | 58.8 | -1.28 | 204.0 | 41.1 |
Reese Morgan
|
G | 25 | 21.3 | 10.0 | 3.2 | 1.2 | 0.7 | 0.1 | 1.0 | 1.9 | 12.3 | -27 | 20 | -1.4 | -2.8 | 41.7 | 41.4 | 90.0 | -1.14 | 219.2 | 54.2 |
G. Vincent
|
- | 2 | 25.0 | 9.0 | 0.5 | 2.0 | 0.5 | 0.0 | 1.0 | 1.0 | 10.0 | - | - | - | - | 50.0 | 100.0 | 0 | - | 450.0 | 75.0 |
Joel Awich
|
F | 27 | 29.1 | 8.8 | 6.1 | 1.3 | 0.7 | 1.4 | 1.5 | 2.7 | 14.0 | 12 | 22 | 0.5 | 0.8 | 34.2 | 30.8 | 60.0 | 0.97 | 153.7 | 39.7 |
Ridge Shipley
|
G | 25 | 25.9 | 8.4 | 1.9 | 2.3 | 0.6 | 0.0 | 1.4 | 2.4 | 9.5 | -35 | 21 | -1.7 | -2.8 | 38.3 | 35.9 | 77.8 | -2.25 | 164.2 | 50.0 |
Maliik Love
|
G | 27 | 28.3 | 5.6 | 3.7 | 2.8 | 0.7 | 0.2 | 1.6 | 1.9 | 9.5 | 5 | 22 | 0.2 | 0.4 | 51.9 | 33.3 | 60.0 | 0.21 | 123.4 | 52.9 |
Michael Bolden
|
G | 27 | 22.7 | 4.9 | 2.3 | 0.6 | 0.8 | 0.3 | 0.3 | 1.4 | 7.1 | 21 | 22 | 1.0 | 1.8 | 35.1 | 32.1 | 60.0 | 1.38 | 167.1 | 47.3 |
Mark Patterson
|
G | 2 | 6.0 | 1.5 | 1.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Anthony Silvestri
|
F | 23 | 9.5 | 1.3 | 1.3 | 0.1 | 0.1 | 0.0 | 0.2 | 0.7 | 1.8 | -23 | 18 | -1.3 | -5.9 | 11.8 | 12.5 | 0.0 | -1.58 | 86.0 | 17.6 |
Alberto Ganis
|
- | 6 | 2.7 | 0.7 | 0.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8 | 0.2 | - | - | - | - | 40.0 | 0 | 0 | - | 40.0 | 40.0 |
Aleks Abrams
|
F | 25 | 7.4 | 0.6 | 2.0 | 0.1 | 0.0 | 0.3 | 0.2 | 0.2 | 2.6 | -37 | 20 | -1.9 | -11.1 | 16.7 | 0 | 100.0 | -3.52 | 101.7 | 16.7 |
K.J. Logue
|
- | 8 | 4.9 | 0.2 | 0.5 | 0.1 | 0.0 | 0.0 | 0.1 | 0.0 | 0.8 | - | - | - | - | 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