Harvard Crimson
2016 Team Stats (6 games)
65.5
PPG
77.8
Opp
-12.3
Margin
44.3%
FG%
42.5%
3P%
56.8%
FT%
33.5
RPG
14.2
APG
14.8
TO
77.6
Pace
Model Outputs
2015-2016
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 → | 1236 (#186) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1294 (#138) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +21.5 (#199) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.121 (#90) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.329 (#83) | AdjNet -6.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.332 (#83) | AdjNet -6.1 |
2016 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2015-12-05 | @ | Kansas Jayhawks | L | 69 - 75 |
| 2015-12-25 | @ | Oklahoma Sooners | L | 71 - 83 |
| 2016-01-29 | vs | Cornell Big Red | L | 65 - 77 |
| 2016-02-05 | @ | Princeton Tigers | L | 62 - 83 |
| 2016-02-19 | @ | Columbia Lions | L | 76 - 90 |
| 2016-02-26 | @ | Yale Bulldogs | L | 50 - 59 |
2016 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Z. Edosomwan
|
F | 5 | 24.0 | 13.8 | 8.4 | 2.0 | 0.6 | 0.6 | 2.4 | 11.8 | 11.2 | - | - | - | 49.2 | 0 | 55.0 | 0.59 | 50.9 | 49.2 |
T. McCarthy
|
G | 5 | 30.0 | 13.8 | 2.8 | 4.6 | 0.8 | 0.0 | 3.2 | 10.8 | 8.0 | -26 | -5.2 | -7.4 | 42.6 | 53.3 | 70.0 | 0.41 | 59.1 | 57.4 |
A. Okolie
|
G | 6 | 31.3 | 10.3 | 5.7 | 2.2 | 1.0 | 0.2 | 2.3 | 9.2 | 7.8 | -21 | -3.5 | -4.2 | 47.3 | 50.0 | 50.0 | 0.72 | 50.0 | 49.1 |
C. Johnson
|
G | 6 | 27.0 | 9.8 | 2.0 | 1.5 | 0.3 | 0.5 | 2.0 | 7.3 | 4.8 | 45 | 3.8 | 6.0 | 47.7 | 48.3 | 42.9 | 1.14 | 62.7 | 63.6 |
P. Steeves
|
F | 6 | 20.3 | 5.8 | 1.7 | 1.8 | 0.8 | 0.3 | 1.5 | 6.5 | 2.5 | -46 | -7.7 | -9.2 | 38.5 | 36.4 | 20.0 | 0.61 | 42.5 | 43.6 |
E. Cummins
|
F | 6 | 20.3 | 4.0 | 3.0 | 1.0 | 0.2 | 1.0 | 1.5 | 3.2 | 4.5 | -19 | -3.8 | -6.3 | 57.9 | 0 | 66.7 | 0.36 | 59.1 | 57.9 |
C. Miller
|
G | 6 | 22.5 | 3.8 | 1.0 | 0.7 | 0.3 | 0.2 | 0.7 | 5.2 | 0.2 | - | - | - | 25.8 | 23.8 | 100.0 | 0.18 | 36.1 | 33.9 |
W. Perez
|
F | 6 | 11.8 | 3.7 | 3.7 | 0.2 | 0.0 | 0.2 | 0.5 | 3.3 | 3.8 | - | - | - | 30.0 | 16.7 | 90.0 | 0.07 | 45.1 | 32.5 |
A. Chatfield
|
G | 4 | 7.0 | 2.2 | 1.5 | 0.5 | 0.2 | 0.0 | 0.2 | 1.0 | 3.2 | - | - | - | 75.0 | 50.0 | 66.7 | -0.37 | 84.6 | 87.5 |
C. Egi
|
F | 6 | 14.0 | 2.2 | 1.8 | 1.0 | 0.2 | 1.0 | 0.8 | 1.8 | 3.5 | - | - | - | 54.5 | 0 | 20.0 | - | 49.2 | 54.5 |
B. Dragovic
|
F | 3 | 4.0 | 1.7 | 0.3 | 0.0 | 0.0 | 0.0 | 0.0 | 1.3 | 0.7 | - | - | - | 50.0 | 50.0 | 0 | - | 62.5 | 62.5 |
Z. Yoshor
|
G | 2 | 2.5 | 1.5 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 1.5 | - | - | - | 100.0 | 100.0 | 0 | - | 150.0 | 150.0 |
H. Myers
|
F | 1 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | - | - | - | 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