Princeton
2019 Team Stats (4 games)
63.5
PPG
81.0
Opp
-17.5
Margin
35.9%
FG%
26.4%
3P%
79.7%
FT%
32.0
RPG
11.0
APG
12.5
TO
81.0
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 → | 1205 (#178) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1368 (#85) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +27.6 (#116) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.057 (#102) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.099 (#102) | AdjNet -19.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.091 (#102) | AdjNet -19.6 |
2019 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2018-12-18 | @ | Duke Blue Devils | L | 50 - 101 |
| 2018-12-29 | @ | Arizona State Sun Devils | W | 67 - 66 |
| 2019-02-08 | @ | Yale Bulldogs | L | 60 - 74 |
| 2019-03-16 | @ | Yale Bulldogs | L | 77 - 83 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
R. Aririguzoh
|
C | 4 | 28.5 | 14.0 | 6.0 | 1.2 | 0.2 | 0.5 | 2.2 | 7.8 | 12.0 | - | - | - | 58.1 | 0 | 83.3 | - | 67.4 | 58.1 |
M. Stephens
|
G | 3 | 29.0 | 12.7 | 5.0 | 1.0 | 1.3 | 0.0 | 2.3 | 11.7 | 6.0 | - | - | - | 37.1 | 30.0 | 100.0 | - | 48.8 | 41.4 |
Devin Cannady
|
- | 3 | 34.7 | 12.3 | 5.3 | 2.0 | 2.7 | 0.7 | 1.0 | 13.0 | 9.0 | - | - | - | 33.3 | 28.6 | 75.0 | - | 45.4 | 43.6 |
J. Llewellyn
|
- | 4 | 33.2 | 10.5 | 2.5 | 3.2 | 0.5 | 0.0 | 1.8 | 13.0 | 2.0 | - | - | - | 30.8 | 16.7 | 58.3 | - | 36.7 | 33.7 |
J. Desrosiers
|
F | 4 | 24.0 | 6.2 | 4.0 | 1.2 | 0.2 | 0.0 | 1.5 | 7.0 | 3.2 | - | - | - | 28.6 | 27.3 | 75.0 | - | 42.0 | 39.3 |
S. Much
|
F | 4 | 13.0 | 5.8 | 2.2 | 0.5 | 0.0 | 0.0 | 0.8 | 3.5 | 4.2 | - | - | - | 57.1 | 40.0 | 75.0 | - | 73.0 | 71.4 |
E. Wright
|
- | 2 | 18.0 | 3.5 | 4.0 | 0.0 | 1.5 | 0.0 | 0.0 | 4.0 | 5.0 | - | - | - | 25.0 | 20.0 | 100.0 | - | 39.4 | 31.2 |
R. Schwieger
|
F | 3 | 15.0 | 3.3 | 2.3 | 1.0 | 0.3 | 0.0 | 0.7 | 4.3 | 2.0 | - | - | - | 30.8 | 28.6 | 0 | - | 38.5 | 38.5 |
C. Bagin
|
G | 1 | 1.0 | 3.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 3.0 | 1.0 | - | - | - | 33.3 | 100.0 | 0 | - | 50.0 | 50.0 |
D. Friberg
|
- | 3 | 6.3 | 1.7 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.3 | 0.3 | - | - | - | 50.0 | 50.0 | 0 | - | 62.5 | 62.5 |
J. Morales
|
G | 4 | 15.0 | 1.0 | 1.0 | 1.5 | 0.8 | 0.0 | 1.8 | 3.2 | -0.8 | - | - | - | 15.4 | 0.0 | 0 | - | 15.4 | 15.4 |
M. Johns
|
- | 4 | 8.0 | 1.0 | 0.8 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | -0.2 | - | - | - | 50.0 | 0.0 | 0 | - | 50.0 | 50.0 |
E. Berbari
|
G | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
N. Bramlage
|
F | 1 | 3.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
V. Reynoso-Avila
|
F | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
E. Barnes
|
F | 3 | 5.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | 1.3 | -1.7 | -13 | -2.2 | -6.2 | 0.0 | 0.0 | 0 | 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