Princeton Tigers
2019 Team Stats (6 games)
74.0
PPG
63.3
Opp
+10.7
Margin
46.2%
FG%
37.7%
3P%
77.4%
FT%
36.5
RPG
15.3
APG
13.5
TO
80.3
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 → | 1632 (#3) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1480 (#13) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +39.5 (#44) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.863 (#70) | - |
2019 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2018-11-22 | vs | DePaul Blue Demons | L | 67 - 82 |
| 2018-12-11 | @ | Monmouth Hawks | W | 79 - 47 |
| 2019-03-08 | @ | Brown Bears | W | 88 - 68 |
| 2019-03-16 | vs | Cornell Big Red | W | 68 - 47 |
| 2019-03-17 | vs | Pennsylvania Quakers | W | 65 - 54 |
| 2019-03-23 | @ | Kentucky Wildcats | L | 77 - 82 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Bella Alarie
|
- | 5 | 29.4 | 20.2 | 10.0 | 3.0 | 1.2 | 2.8 | 1.0 | 16.2 | 20.0 | - | - | - | 51.9 | 30.0 | 93.3 | 2.32 | 57.6 | 53.7 |
C. Littlefield
|
G | 6 | 32.7 | 14.2 | 4.8 | 2.2 | 1.3 | 0.0 | 2.2 | 10.2 | 10.2 | - | - | - | 47.5 | 43.5 | 65.4 | 1.19 | 58.7 | 55.7 |
G. Rush
|
G | 6 | 34.2 | 11.8 | 3.2 | 2.2 | 0.7 | 0.2 | 1.5 | 10.7 | 5.8 | - | - | - | 40.6 | 38.6 | 40.0 | 1.91 | 53.6 | 53.9 |
S. Jordan
|
G | 6 | 25.7 | 9.5 | 4.5 | 2.5 | 1.7 | 0.7 | 0.8 | 7.7 | 10.3 | - | - | - | 56.5 | 0 | 100.0 | 1.28 | 59.1 | 56.5 |
S. Boyer
|
F | 4 | 12.8 | 6.2 | 0.8 | 0.8 | 1.0 | 0.2 | 1.0 | 3.5 | 4.5 | - | - | - | 71.4 | 71.4 | 0 | 0.26 | 89.3 | 89.3 |
J. Cunningham
|
G | 6 | 18.8 | 6.2 | 2.3 | 2.2 | 1.3 | 0.2 | 1.3 | 5.3 | 5.5 | - | - | - | 40.6 | 40.0 | 77.8 | -0.24 | 51.4 | 46.9 |
G. Stone
|
G | 6 | 24.7 | 4.7 | 2.8 | 1.8 | 0.8 | 0.2 | 2.3 | 3.8 | 4.2 | - | - | - | 39.1 | 25.0 | 90.0 | 1.27 | 51.1 | 41.3 |
T. Baur
|
F | 4 | 15.5 | 4.2 | 5.8 | 1.8 | 1.2 | 1.0 | 1.2 | 3.5 | 9.2 | - | - | - | 42.9 | 0.0 | 62.5 | 0.22 | 48.5 | 42.9 |
N. Young
|
G | 3 | 7.0 | 2.3 | 1.3 | 0.0 | 0.3 | 0.0 | 0.7 | 2.3 | 1.0 | - | - | - | 28.6 | 20.0 | 100.0 | -0.42 | 44.4 | 35.7 |
M. Haire
|
G | 3 | 7.0 | 2.0 | 0.3 | 0.0 | 0.0 | 0.0 | 0.7 | 2.0 | -0.3 | - | - | - | 33.3 | 40.0 | 0 | 0.08 | 50.0 | 50.0 |
M. Connolly
|
G | 4 | 10.5 | 2.0 | 1.0 | 0.2 | 1.2 | 0.0 | 2.0 | 1.8 | 0.8 | - | - | - | 28.6 | 0.0 | 100.0 | 0.33 | 45.7 | 28.6 |
K. Emsbo
|
F | 4 | 7.0 | 0.5 | 1.2 | 0.0 | 0.0 | 0.0 | 0.8 | 1.8 | -0.8 | - | - | - | 14.3 | 0 | 0 | 0.28 | 14.3 | 14.3 |
L. Weger
|
F | 2 | 6.5 | 0.0 | 0.5 | 0.5 | 0.5 | 1.5 | 0.5 | 1.0 | 1.5 | - | - | - | 0.0 | 0.0 | 0 | -1.03 | 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