Harvard Crimson
2018 Team Stats (2 games)
71.5
PPG
57.7
Opp
+16.0
Margin
42.7%
FG%
35.8%
3P%
85.7%
FT%
42.5
RPG
13.0
APG
9.0
TO
75.6
Pace
Model Outputs
2017-2018
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 → | 1184 (#113) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1173 (#120) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +29.2 (#99) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.651 (#147) | - |
2018 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2018-03-02 | @ | Cornell Big Red | - | Preview |
| 2018-03-03 | @ | Cornell Big Red | W | 91 - 57 |
| 2018-03-04 | @ | Columbia Lions | W | 78 - 59 |
| 2018-03-10 | @ | Pennsylvania Quakers | L | 52 - 57 |
2018 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 | 2 | 33.5 | 19.0 | 4.5 | 3.5 | 2.5 | 0.0 | 1.0 | 15.0 | 13.5 | - | - | - | 36.7 | 40.0 | 100.0 | - | 58.2 | 53.3 |
J. Boehm
|
F | 2 | 32.0 | 11.5 | 12.0 | 1.5 | 0.5 | 3.0 | 1.0 | 10.0 | 17.5 | - | - | - | 55.0 | 0 | 100.0 | - | 56.3 | 55.0 |
T. Rooks
|
G | 2 | 30.0 | 11.0 | 8.0 | 0.0 | 1.0 | 1.0 | 0.5 | 10.5 | 10.0 | - | - | - | 47.6 | 50.0 | 100.0 | - | 51.3 | 50.0 |
M. Raster
|
G | 2 | 27.5 | 8.5 | 5.0 | 1.5 | 0.5 | 0.0 | 1.0 | 8.0 | 6.5 | - | - | - | 43.8 | 25.0 | 50.0 | - | 50.4 | 50.0 |
N. Redford
|
G | 2 | 13.5 | 6.0 | 2.5 | 1.0 | 0.5 | 0.0 | 0.5 | 3.5 | 6.0 | - | - | - | 57.1 | 50.0 | 100.0 | - | 76.1 | 71.4 |
J. Bush
|
F | 2 | 14.0 | 6.0 | 3.0 | 0.0 | 0.5 | 0.5 | 0.0 | 4.5 | 5.5 | - | - | - | 44.4 | 0 | 80.0 | - | 53.6 | 44.4 |
S. Skinner
|
G | 2 | 24.5 | 5.5 | 4.0 | 4.0 | 1.0 | 0.0 | 1.5 | 6.5 | 6.5 | - | - | - | 23.1 | 22.2 | 75.0 | - | 37.3 | 30.8 |
K. Bogdan
|
G | 1 | 8.0 | 5.0 | 1.0 | 1.0 | 0.0 | 0.0 | 1.0 | 3.0 | 3.0 | - | - | - | 66.7 | 50.0 | 0 | - | 83.3 | 83.3 |
K. Porter
|
G | 2 | 16.0 | 1.5 | 0.5 | 0.5 | 0.0 | 0.0 | 2.5 | 2.5 | -2.5 | - | - | - | 20.0 | 33.3 | 0 | - | 30.0 | 30.0 |
M. Barta
|
G | 1 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
G. Tworek
|
F | 1 | 7.0 | 0.0 | 1.0 | 1.0 | 0.0 | 2.0 | 1.0 | 0.0 | 3.0 | - | - | - | 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