Harvard Crimson
2019 Team Stats (5 games)
70.4
PPG
76.6
Opp
-6.2
Margin
39.5%
FG%
36.1%
3P%
64.8%
FT%
36.6
RPG
19.0
APG
14.4
TO
86.0
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 → | 1174 (#111) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1158 (#125) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +29.6 (#95) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.669 (#140) | - |
2019 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2018-11-09 | @ | Notre Dame Fighting Irish | L | 58 - 103 |
| 2018-11-30 | vs | Quinnipiac Bobcats | L | 67 - 72 |
| 2018-12-30 | @ | California Golden Bears | W | 85 - 79 |
| 2019-03-08 | vs | Cornell Big Red | W | 80 - 38 |
| 2019-03-16 | @ | Pennsylvania Quakers | L | 62 - 91 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
K. Benzan
|
G | 5 | 34.0 | 15.6 | 2.6 | 5.8 | 0.8 | 0.2 | 1.6 | 15.2 | 8.2 | - | - | - | 36.8 | 36.4 | 100.0 | 1.83 | 50.7 | 50.0 |
S. Skinner
|
G | 5 | 26.4 | 11.8 | 3.8 | 3.8 | 1.0 | 0.2 | 2.0 | 9.2 | 9.4 | - | - | - | 37.0 | 44.0 | 93.3 | 0.82 | 56.1 | 48.9 |
M. Raster
|
G | 5 | 26.8 | 9.6 | 5.0 | 2.0 | 1.6 | 0.2 | 1.6 | 10.4 | 6.4 | - | - | - | 36.5 | 42.9 | 50.0 | 1.11 | 45.4 | 45.2 |
N. Redford
|
G | 5 | 22.0 | 8.2 | 1.6 | 1.2 | 1.2 | 0.2 | 2.4 | 7.8 | 2.2 | - | - | - | 38.5 | 40.0 | 42.9 | 1.82 | 48.7 | 48.7 |
R. Levy
|
F | 5 | 19.6 | 8.0 | 4.0 | 1.0 | 1.4 | 0.4 | 0.8 | 5.2 | 8.8 | - | - | - | 53.8 | 50.0 | 75.0 | 0.62 | 63.9 | 59.6 |
J. Bush
|
F | 4 | 24.2 | 7.8 | 6.2 | 2.2 | 0.0 | 0.2 | 1.8 | 6.2 | 8.5 | - | - | - | 52.0 | 0 | 62.5 | 0.97 | 54.3 | 52.0 |
J. Boehm
|
F | 5 | 30.0 | 7.2 | 7.2 | 1.6 | 0.4 | 1.6 | 2.2 | 7.8 | 8.0 | - | - | - | 46.2 | 0 | 0.0 | 1.75 | 44.2 | 46.2 |
M. Barta
|
G | 4 | 10.0 | 1.5 | 1.2 | 0.8 | 0.5 | 0.0 | 0.0 | 3.2 | 0.8 | - | - | - | 15.4 | 15.4 | 0 | 0.26 | 23.1 | 23.1 |
M. McCarthy
|
G | 3 | 4.7 | 1.3 | 0.0 | 0.0 | 0.7 | 0.0 | 0.7 | 1.3 | 0.0 | - | - | - | 50.0 | 0.0 | 0 | -0.12 | 50.0 | 50.0 |
M. Stuhlreyer
|
F | 2 | 11.5 | 1.0 | 1.0 | 1.0 | 0.5 | 0.0 | 1.0 | 1.0 | 1.5 | - | - | - | 50.0 | 0 | 0.0 | -0.1 | 34.7 | 50.0 |
T. Sussman
|
F | 4 | 8.8 | 1.0 | 0.8 | 0.2 | 0.0 | 0.0 | 0.0 | 1.8 | 0.2 | - | - | - | 28.6 | 0.0 | 0 | 0.17 | 28.6 | 28.6 |
M. Guramare
|
F | 5 | 3.8 | 0.6 | 1.2 | 0.4 | 0.0 | 0.0 | 0.6 | 0.2 | 1.4 | - | - | - | 100.0 | 0 | 50.0 | -0.11 | 79.8 | 100.0 |
K. Bogdan
|
G | 3 | 6.3 | 0.0 | 0.7 | 0.3 | 0.3 | 0.0 | 0.7 | 1.3 | -0.7 | - | - | - | 0.0 | 0.0 | 0 | -0.02 | 0.0 | 0.0 |
M. Salen
|
G | 2 | 4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | -0.44 | 0 | 0 |
G. Tworek
|
F | 1 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | - | - | - | 0 | 0 | 0 | -0.41 | 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