Princeton Tigers
2020 Team Stats (9 games)
74.7
PPG
47.9
Opp
+26.8
Margin
42.5%
FG%
35.7%
3P%
69.9%
FT%
41.6
RPG
16.4
APG
10.4
TO
83.0
Pace
Model Outputs
2019-2020
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 → | 1564 (#3) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1575 (#4) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +42.9 (#27) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.863 (#67) | - |
2020 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2019-12-10 | vs | Hartford Hawks | W | 73 - 42 |
| 2020-01-11 | @ | Pennsylvania Quakers | W | 75 - 55 |
| 2020-02-21 | vs | Harvard Crimson | W | 66 - 45 |
| 2020-02-22 | vs | Dartmouth Big Green | W | 87 - 55 |
| 2020-02-25 | vs | Pennsylvania Quakers | W | 80 - 44 |
| 2020-02-28 | vs | Brown Bears | W | 81 - 39 |
| 2020-02-29 | vs | Yale Bulldogs | W | 64 - 49 |
| 2020-03-06 | @ | Columbia Lions | W | 77 - 52 |
| 2020-03-07 | @ | Cornell Big Red | W | 69 - 50 |
| 2020-03-13 | vs | Columbia Lions | - | Preview |
2020 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Bella Alarie
|
- | 8 | 29.4 | 19.0 | 9.2 | 2.4 | 1.6 | 2.0 | 1.0 | 16.9 | 16.4 | - | - | - | 45.2 | 20.8 | 69.4 | 2.17 | 50.4 | 47.0 |
C. Littlefield
|
G | 9 | 29.7 | 11.7 | 3.1 | 1.9 | 1.9 | 0.4 | 1.9 | 10.1 | 7.0 | - | - | - | 36.3 | 42.9 | 79.4 | 1.43 | 49.5 | 42.9 |
A. Meyers
|
G | 9 | 15.3 | 8.9 | 2.8 | 0.7 | 0.6 | 0.2 | 1.0 | 7.2 | 4.9 | - | - | - | 44.6 | 35.5 | 68.8 | -0.8 | 55.5 | 53.1 |
T. Baur
|
F | 9 | 21.4 | 8.0 | 7.0 | 1.0 | 0.7 | 1.0 | 0.7 | 6.2 | 10.8 | - | - | - | 46.4 | 0.0 | 76.9 | 1.64 | 53.4 | 46.4 |
J. Cunningham
|
G | 9 | 21.0 | 6.9 | 3.8 | 1.9 | 1.4 | 0.1 | 1.1 | 6.0 | 7.0 | - | - | - | 46.3 | 29.2 | 62.5 | 2.21 | 53.9 | 52.8 |
M. Connolly
|
G | 9 | 23.4 | 6.2 | 1.2 | 3.2 | 1.8 | 0.2 | 1.9 | 3.8 | 7.0 | - | - | - | 52.9 | 62.5 | 83.3 | -0.19 | 71.3 | 67.6 |
E. Mitchell
|
F | 9 | 17.4 | 5.8 | 5.3 | 1.2 | 2.0 | 0.3 | 1.0 | 4.7 | 9.0 | 94 | 3.5 | 27.9 | 47.6 | 0.0 | 52.2 | 0.79 | 49.9 | 47.6 |
G. Stone
|
G | 9 | 22.7 | 5.1 | 3.2 | 2.8 | 0.9 | 0.8 | 0.8 | 5.3 | 6.7 | - | - | - | 33.3 | 43.5 | 57.1 | 1.39 | 45.0 | 43.8 |
N. Young
|
G | 7 | 6.0 | 2.0 | 0.7 | 0.6 | 0.6 | 0.1 | 0.3 | 1.9 | 1.9 | 31 | 1.1 | 4.8 | 30.8 | 36.4 | 100.0 | 0.97 | 50.4 | 46.2 |
M. McArthur
|
F | 8 | 8.1 | 1.6 | 1.5 | 1.1 | 0.4 | 0.5 | 0.1 | 1.2 | 3.8 | - | - | - | 40.0 | 100.0 | 66.7 | -0.7 | 51.4 | 45.0 |
L. Weger
|
F | 6 | 3.7 | 1.3 | 0.5 | 0.0 | 0.0 | 0.3 | 0.3 | 1.8 | 0.0 | - | - | - | 36.4 | 0.0 | 0.0 | -0.88 | 35.0 | 36.4 |
M. Haire
|
G | 8 | 7.0 | 0.9 | 0.8 | 0.2 | 0.4 | 0.0 | 0.5 | 1.9 | -0.1 | - | - | - | 20.0 | 16.7 | 0 | 0.62 | 23.3 | 23.3 |
S. Boyer
|
F | 7 | 3.0 | 0.7 | 0.6 | 0.0 | 0.0 | 0.0 | 0.1 | 0.4 | 0.7 | - | - | - | 66.7 | 0.0 | 50.0 | -1.12 | 64.4 | 66.7 |
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