Princeton Tigers
2022 Team Stats (8 games)
66.5
PPG
61.1
Opp
+5.4
Margin
40.6%
FG%
31.7%
3P%
78.5%
FT%
36.5
RPG
11.8
APG
14.1
TO
80.3
Pace
Model Outputs
2021-2022
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 → | 1359 (#8) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1442 (#4) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +37.5 (#40) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.862 (#51) | - |
2022 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2021-12-01 | @ | Florida Gulf Coast Eagles | W | 58 - 55 |
| 2021-12-14 | vs | Buffalo Bulls | W | 79 - 77 |
| 2021-12-22 | vs | Texas Longhorns | L | 53 - 70 |
| 2022-03-04 | vs | Pennsylvania Quakers | W | 69 - 43 |
| 2022-03-11 | vs | Harvard Crimson | W | 72 - 67 |
| 2022-03-12 | vs | Columbia Lions | W | 77 - 59 |
| 2022-03-19 | @ | Kentucky Wildcats | W | 69 - 62 |
| 2022-03-21 | @ | Indiana Hoosiers | L | 55 - 56 |
2022 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A. Meyers
|
G | 8 | 33.2 | 18.6 | 5.1 | 1.2 | 1.1 | 0.5 | 1.9 | 16.9 | 7.9 | - | - | - | 40.0 | 30.4 | 82.8 | 1.04 | 50.4 | 46.3 |
K. Chen
|
- | 8 | 35.2 | 13.0 | 3.9 | 3.2 | 1.0 | 0.1 | 3.2 | 10.2 | 7.8 | 18 | 0.9 | 3.9 | 42.7 | 12.5 | 80.5 | 0.63 | 52.0 | 43.3 |
J. Cunningham
|
G | 8 | 36.8 | 12.2 | 4.9 | 2.2 | 1.4 | 1.0 | 2.4 | 12.2 | 7.1 | - | - | - | 35.7 | 23.5 | 90.9 | 1.5 | 45.5 | 39.8 |
G. Stone
|
G | 8 | 32.5 | 11.8 | 3.6 | 1.8 | 1.2 | 0.4 | 2.9 | 9.6 | 6.2 | - | - | - | 42.9 | 50.0 | 88.2 | 0.99 | 55.6 | 51.3 |
E. Mitchell
|
F | 8 | 35.6 | 6.2 | 11.4 | 1.9 | 2.4 | 0.5 | 1.5 | 5.4 | 15.5 | 50 | 2.6 | 19.3 | 48.8 | 0 | 50.0 | 1.12 | 50.0 | 48.8 |
M. Connolly
|
G | 8 | 14.6 | 2.5 | 0.9 | 1.1 | 0.9 | 0.0 | 0.8 | 1.9 | 2.8 | - | - | - | 40.0 | 45.5 | 75.0 | 1.64 | 59.7 | 56.7 |
C. Nweke
|
F | 8 | 10.6 | 1.6 | 1.9 | 0.2 | 0.1 | 0.2 | 0.6 | 1.6 | 1.9 | 98 | 4.3 | 27.2 | 38.5 | 0.0 | 50.0 | 1.3 | 41.6 | 38.5 |
A. Nwokeji
|
G | 2 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | -2 | -2.0 | -78.7 | 50.0 | 0 | 0 | -1.62 | 50.0 | 50.0 |
M. Plank
|
G | 4 | 2.5 | 0.5 | 0.2 | 0.0 | 0.0 | 0.2 | 0.0 | 0.8 | 0.2 | 64 | 5.3 | 34.7 | 33.3 | 0.0 | 0 | 0.66 | 33.3 | 33.3 |
L. Weger
|
F | 1 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | -2.0 | - | - | - | 0.0 | 0 | 0 | -0.16 | 0.0 | 0.0 |
P. Hill
|
F | 1 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -32 | -6.4 | -55.1 | 0 | 0 | 0 | -0.2 | 0 | 0 |
P. Morton
|
F | 3 | 4.3 | 0.0 | 0.3 | 0.0 | 0.0 | 0.0 | 0.7 | 0.3 | -0.7 | 26 | 2.0 | 8.7 | 0.0 | 0 | 0 | 0.83 | 0.0 | 0.0 |
A. Osgood
|
G | 1 | 2.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 11 | 5.5 | 40.9 | 0 | 0 | 0 | -0.47 | 0 | 0 |
K. Thiers
|
F | 1 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 37 | 12.3 | 70.9 | 0 | 0 | 0 | -0.12 | 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