UC Davis
2017 Team Stats (8 games)
64.1
PPG
68.1
Opp
-4.0
Margin
39.9%
FG%
30.6%
3P%
76.0%
FT%
36.5
RPG
11.0
APG
14.0
TO
78.3
Pace
Model Outputs
2016-2017
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 → | 1297 (#134) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1297 (#135) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +20.6 (#217) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.227 (#66) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.004 (#93) | NetEff -50.5 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.203 (#91) | AdjNet -11.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.196 (#91) | AdjNet -12.1 |
2017 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2016-11-12 | @ | Santa Clara Broncos | W | 63 - 58 |
| 2016-11-21 | @ | Sacramento State Hornets | W | 81 - 72 |
| 2016-11-24 | @ | Weber State Wildcats | L | 58 - 86 |
| 2017-03-09 | vs | Cal Poly Mustangs | W | 66 - 55 |
| 2017-03-10 | vs | Cal State Fullerton Titans | W | 66 - 64 |
| 2017-03-11 | @ | UC Irvine Anteaters | W | 50 - 47 |
| 2017-03-15 | vs | North Carolina Central Eagles | W | 67 - 63 |
| 2017-03-17 | @ | Kansas Jayhawks | L | 62 - 100 |
2017 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
B. Lemar
|
G | 8 | 33.8 | 17.4 | 3.4 | 2.6 | 0.5 | 0.2 | 1.9 | 12.8 | 9.5 | - | - | - | 42.2 | 37.1 | 87.0 | - | 56.9 | 48.5 |
C. Moneke
|
F | 8 | 27.9 | 14.4 | 10.9 | 0.4 | 0.6 | 1.9 | 2.8 | 10.8 | 14.6 | - | - | - | 48.8 | 0 | 60.8 | - | 53.0 | 48.8 |
L. White
|
G | 8 | 29.5 | 6.5 | 3.6 | 1.6 | 1.2 | 0.5 | 1.6 | 6.8 | 5.1 | - | - | - | 33.3 | 27.3 | 100.0 | - | 44.5 | 38.9 |
S. Schneider
|
G | 8 | 22.6 | 6.2 | 2.9 | 2.0 | 0.1 | 0.0 | 1.5 | 7.1 | 2.6 | - | - | - | 28.1 | 13.6 | 88.2 | - | 38.8 | 30.7 |
J.T. Adenrele
|
F | 8 | 20.2 | 5.9 | 5.4 | 0.5 | 0.8 | 1.0 | 1.6 | 4.9 | 7.0 | - | - | - | 46.2 | 0 | 68.8 | - | 51.0 | 46.2 |
M. Henn
|
- | 7 | 14.9 | 5.1 | 2.1 | 0.7 | 0.0 | 0.3 | 1.3 | 3.9 | 3.1 | - | - | - | 48.1 | 50.0 | 100.0 | - | 60.7 | 55.6 |
J. Mooney
|
G | 3 | 12.0 | 5.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | 2.3 | 2.3 | - | - | - | 71.4 | 75.0 | 100.0 | - | 95.2 | 92.9 |
D. Graham
|
G | 8 | 27.9 | 4.0 | 2.0 | 2.0 | 0.1 | 0.1 | 1.8 | 4.5 | 2.0 | - | - | - | 27.8 | 35.7 | 77.8 | - | 40.0 | 34.7 |
G. Goode
|
F | 6 | 19.8 | 2.8 | 3.5 | 0.2 | 0.3 | 0.0 | 0.8 | 3.7 | 2.3 | - | - | - | 36.4 | 0 | 20.0 | - | 35.1 | 36.4 |
A. Hennings
|
G | 6 | 6.3 | 1.2 | 0.3 | 1.3 | 0.0 | 0.0 | 1.2 | 1.0 | 0.7 | - | - | - | 33.3 | 0.0 | 100.0 | - | 47.8 | 33.3 |
G. Funtarov
|
F | 3 | 3.7 | 0.3 | 1.0 | 0.3 | 0.0 | 0.3 | 0.0 | 0.7 | 1.3 | - | - | - | 0.0 | 0.0 | 50.0 | - | 17.4 | 0.0 |
M. Onyebalu
|
G | 6 | 3.7 | 0.3 | 0.3 | 0.0 | 0.0 | 0.0 | 0.2 | 0.5 | 0.0 | - | - | - | 33.3 | 0.0 | 0 | - | 33.3 | 33.3 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
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