Yale
2019 Team Stats (5 games)
77.2
PPG
78.4
Opp
-1.2
Margin
46.5%
FG%
27.1%
3P%
86.8%
FT%
35.8
RPG
12.0
APG
13.4
TO
81.2
Pace
Model Outputs
2018-2019
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 → | 1416 (#68) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1392 (#75) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +29.5 (#99) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.456 (#37) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.362 (#79) | AdjNet -4.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.350 (#80) | AdjNet -5.4 |
2019 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2018-12-08 | @ | Duke Blue Devils | L | 58 - 91 |
| 2019-02-08 | vs | Princeton Tigers | W | 74 - 60 |
| 2019-03-16 | vs | Princeton Tigers | W | 83 - 77 |
| 2019-03-17 | @ | Harvard Crimson | W | 97 - 85 |
| 2019-03-21 | @ | LSU Tigers | L | 74 - 79 |
2019 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A. Copeland
|
G | 5 | 33.4 | 18.4 | 3.2 | 3.8 | 1.0 | 0.0 | 2.2 | 13.0 | 11.2 | - | - | - | 52.3 | 35.7 | 82.6 | - | 61.2 | 56.2 |
Miye Oni
|
- | 5 | 31.8 | 18.4 | 7.6 | 3.6 | 1.2 | 1.4 | 2.6 | 13.6 | 16.0 | - | - | - | 41.2 | 33.3 | 93.3 | - | 56.7 | 47.1 |
J. Bruner
|
F | 5 | 30.8 | 10.2 | 7.6 | 1.6 | 1.4 | 1.2 | 2.0 | 8.2 | 11.8 | - | - | - | 51.2 | 22.2 | 71.4 | - | 57.8 | 56.1 |
B. Reynolds
|
F | 5 | 26.6 | 9.6 | 4.0 | 0.2 | 0.6 | 0.0 | 1.6 | 7.8 | 5.0 | - | - | - | 56.4 | 15.4 | 100.0 | - | 60.2 | 59.0 |
A. Swain
|
G | 5 | 22.6 | 9.2 | 3.6 | 0.8 | 0.4 | 0.2 | 1.2 | 7.4 | 5.6 | - | - | - | 37.8 | 40.0 | 88.9 | - | 56.2 | 51.4 |
P. Atkinson
|
F | 5 | 20.0 | 5.8 | 3.4 | 0.4 | 0.2 | 1.2 | 1.0 | 3.0 | 7.0 | - | - | - | 66.7 | 0 | 81.8 | - | 73.1 | 66.7 |
T. Phills
|
G | 5 | 24.6 | 5.6 | 1.6 | 1.2 | 0.8 | 0.0 | 1.6 | 5.4 | 2.2 | - | - | - | 37.0 | 0.0 | 88.9 | - | 45.2 | 37.0 |
T. Ryan
|
F | 2 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 0.5 | -1.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
E. Monroe
|
G | 3 | 4.0 | 0.0 | 0.7 | 0.7 | 0.0 | 0.0 | 1.0 | 0.0 | 0.3 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
A. Williams
|
F | 3 | 3.7 | 0.0 | 0.7 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | 0.3 | - | - | - | 0.0 | 0 | 0 | 0.58 | 0.0 | 0.0 |
J. Gabbidon
|
- | 1 | 17.0 | 0.0 | 3.0 | 0.0 | 1.0 | 0.0 | 1.0 | 3.0 | 0.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
W. Yess
|
F | 1 | 2.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
M. Cotton
|
- | 2 | 2.5 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 0.5 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
I. Kelly
|
- | 1 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -1.0 | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
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