Cal Poly
2014 Team Stats (6 games)
63.3
PPG
60.2
Opp
+3.2
Margin
42.0%
FG%
33.6%
3P%
64.5%
FT%
31.3
RPG
11.0
APG
7.3
TO
-
Est. poss./game
60.6
Adj PPG
60.8
Adj Opp PPG
#172
Scoring Rank
Model Outputs
2013-2014
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 | 985 (#188) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 944 (#219) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1029 (#130) | HCA +92 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | -0.1 (#170) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | -0.7 (#180) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.366 (#241) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.460 (#180) | AdjNet -1.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.461 (#179) | AdjNet -1.3 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.495 (#172) | AdjO 60.6 | AdjD 60.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.510 (#164) | AdjO 61.0 | AdjD 60.6 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.487 (#176) | 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 | 0.490 (#175) | 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 | 949 (#206) | RD 112 | GP 32 |
2014 Schedule & Results
2014 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Chris Eversley
|
F | 26 | 31.6 | 14.0 | 7.0 | 1.4 | 1.3 | 0.4 | 1.3 | 4.3 | 18.5 | 11 | 24 | 0.5 | 0.6 | 45.5 | 27.8 | 66.7 | 3.16 | 147.3 | 50.0 |
David Nwaba
|
G | 26 | 24.7 | 11.5 | 4.8 | 1.3 | 0.7 | 0.7 | 1.3 | 2.1 | 15.7 | 25 | 24 | 1.0 | 1.9 | 57.4 | 0 | 63.9 | 2.17 | 214.8 | 57.4 |
Kyle Odister
|
G | 20 | 25.1 | 8.6 | 2.2 | 1.2 | 0.8 | 0.1 | 0.7 | 3.2 | 8.9 | -34 | 20 | -1.7 | -2.9 | 30.8 | 36.6 | 42.9 | -0.48 | 125.6 | 42.3 |
Brian Bennett
|
F | 26 | 18.0 | 6.0 | 2.8 | 0.6 | 0.3 | 0.2 | 0.6 | 1.3 | 8.1 | -12 | 24 | -0.5 | -1.1 | 52.9 | 0 | 66.7 | -0.05 | 186.1 | 52.9 |
Jamal Johnson
|
G | 26 | 22.8 | 4.4 | 2.2 | 2.5 | 0.8 | 0.1 | 0.8 | 1.0 | 8.2 | -78 | 24 | -3.2 | -6.0 | 28.0 | 28.6 | 76.5 | -4.51 | 177.0 | 32.0 |
Joel Awich
|
F | 25 | 17.2 | 4.2 | 2.8 | 0.3 | 0.3 | 0.8 | 0.7 | 1.6 | 6.2 | -9 | 23 | -0.4 | -1.0 | 46.2 | 25.0 | 100.0 | -0.44 | 127.4 | 48.7 |
Ridge Shipley
|
G | 26 | 14.9 | 3.8 | 0.6 | 1.6 | 0.2 | 0.0 | 0.6 | 1.5 | 4.2 | 16 | 24 | 0.7 | 1.9 | 31.6 | 34.8 | 85.7 | -1.31 | 112.1 | 42.1 |
Maliik Love
|
G | 26 | 15.8 | 3.4 | 1.9 | 1.5 | 0.5 | 0.2 | 0.8 | 0.8 | 5.9 | -42 | 24 | -1.8 | -4.4 | 40.0 | 0.0 | 55.6 | -1.54 | 185.7 | 40.0 |
Reese Morgan
|
G | 8 | 7.6 | 3.4 | 0.8 | 0.2 | 0.2 | 0.2 | 0.4 | 1.5 | 3.0 | -1 | 7 | -0.1 | -0.6 | 33.3 | 40.0 | 100.0 | -0.82 | 104.8 | 50.0 |
Michael Bolden
|
G | 18 | 14.2 | 2.8 | 1.2 | 0.6 | 0.4 | 0.1 | 0.4 | 0.8 | 3.9 | -2 | 18 | -0.1 | -0.4 | 20.0 | 10.0 | 0 | 0.61 | 170.0 | 23.3 |
Anthony Silvestri
|
F | 22 | 8.3 | 2.3 | 1.0 | 0.1 | 0.1 | 0.0 | 0.1 | 0.4 | 3.0 | -37 | 21 | -1.8 | -9.9 | 44.4 | 44.4 | 0.0 | -1.28 | 264.8 | 66.7 |
Taylor Sutlive
|
G | 18 | 7.8 | 2.3 | 0.4 | 0.2 | 0.1 | 0.0 | 0.3 | 0.3 | 2.4 | -16 | 15 | -1.1 | -5.7 | 16.7 | 16.7 | 0 | -1.46 | 341.7 | 25.0 |
Zach Gordon
|
F | 26 | 10.7 | 1.3 | 2.5 | 0.1 | 0.4 | 0.3 | 0.5 | 0.3 | 3.8 | -54 | 23 | -2.3 | -9.6 | 14.3 | 0 | 50.0 | -3.61 | 149.1 | 14.3 |
Max Betkowski
|
G | 5 | 2.0 | 0.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.2 | 0.2 | -0.2 | - | - | - | - | 0.0 | 0.0 | 0 | -1.34 | 0.0 | 0.0 |
Markel Leonard
|
G | 4 | 2.8 | 0.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.2 | 0.5 | -0.5 | - | - | - | - | 0.0 | 0.0 | 0 | -2.14 | 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