Princeton
2017 Team Stats (8 games)
71.4
PPG
58.8
Opp
+12.6
Margin
46.2%
FG%
37.6%
3P%
80.2%
FT%
33.4
RPG
14.1
APG
9.1
TO
-
Est. poss./game
69.1
Adj PPG
61.2
Adj Opp PPG
#69
Scoring Rank
Model Outputs
2016-2017
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 โ | 1275 (#41) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1203 (#48) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1172 (#13) | HCA +89 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +8.0 (#74) | HCA +2.6 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +10.6 (#51) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.812 (#25) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.788 (#72) | AdjNet +11.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.790 (#72) | AdjNet +11.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.673 (#69) | AdjO 69.1 | AdjD 61.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.706 (#28) | AdjO 68.4 | AdjD 58.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.762 (#49) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. More โ | 0.768 (#39) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More โ | 1243 (#39) | RD 124 | GP 29 |
2017 Schedule & Results
2017 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 GP | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Devin Cannady
|
- | 21 | 30.6 | 13.2 | 3.3 | 1.8 | 1.0 | 0.2 | 1.3 | 4.5 | 13.7 | 278 | 27 | 10.3 | 13.7 | 45.3 | 50.0 | 100.0 | 1.75 | 126.9 | 62.6 |
Steven Cook
|
F | 21 | 30.0 | 12.6 | 4.7 | 1.9 | 1.4 | 0.0 | 1.3 | 4.0 | 15.2 | 261 | 27 | 9.7 | 13.7 | 37.3 | 26.5 | 73.9 | 1.74 | 141.8 | 42.8 |
Myles Stephens
|
G | 21 | 26.3 | 12.6 | 4.4 | 1.2 | 0.6 | 0.6 | 1.5 | 5.0 | 12.9 | 211 | 27 | 7.8 | 11.7 | 52.8 | 41.9 | 71.0 | -0.24 | 110.3 | 59.0 |
Spencer Weisz
|
F | 21 | 32.7 | 11.4 | 5.4 | 4.2 | 1.3 | 0.3 | 1.7 | 4.7 | 16.2 | 289 | 27 | 10.7 | 13.6 | 40.4 | 29.1 | 71.4 | 2.36 | 117.1 | 48.5 |
Henry Caruso
|
F | 8 | 22.2 | 9.5 | 4.4 | 0.8 | 1.1 | 0.0 | 1.8 | 1.1 | 12.9 | - | - | - | - | 55.6 | 33.3 | 0 | - | 422.2 | 61.1 |
Hans Brase
|
F | 5 | 15.6 | 6.4 | 2.8 | 1.4 | 0.0 | 0.0 | 1.2 | 2.2 | 7.2 | - | - | - | - | 36.4 | 37.5 | 0 | - | 145.5 | 50.0 |
Amir Bell
|
G | 21 | 23.8 | 5.0 | 2.5 | 2.1 | 0.5 | 0.4 | 0.8 | 2.6 | 7.1 | 209 | 27 | 7.7 | 13.9 | 49.1 | 30.0 | 62.5 | 0.36 | 89.7 | 54.5 |
Pete Miller
|
F | 21 | 14.6 | 2.9 | 3.8 | 1.4 | 0.2 | 0.3 | 0.5 | 1.0 | 7.0 | 104 | 27 | 3.9 | 10.8 | 57.1 | 0 | 83.3 | -1.53 | 126.9 | 57.1 |
Will Gladson
|
F | 20 | 10.9 | 2.6 | 1.2 | 0.4 | 0.2 | 0.5 | 0.8 | 0.9 | 3.2 | 70 | 26 | 2.7 | 10.7 | 38.9 | 22.2 | 100.0 | 0.16 | 137.7 | 44.4 |
Alec Brennan
|
F | 17 | 7.4 | 2.5 | 1.4 | 0.4 | 0.1 | 0.3 | 0.2 | 0.3 | 4.2 | 89 | 23 | 3.9 | 20.2 | 60.0 | 100.0 | 50.0 | 1.74 | 357.1 | 70.0 |
Aaron Young
|
G | 18 | 4.4 | 1.8 | 0.6 | 0.1 | 0.1 | 0.0 | 0.0 | 0.2 | 2.4 | 23 | 23 | 1.0 | 8.2 | 0.0 | 0.0 | 100.0 | -1.21 | 425.3 | 0.0 |
Richmond Aririguzoh
|
C | 9 | 4.8 | 1.7 | 1.0 | 0.2 | 0.2 | 0.1 | 0.2 | 0.3 | 2.7 | 50 | 12 | 4.2 | 32.0 | 33.3 | 0 | 33.3 | 2.83 | 173.6 | 33.3 |
Vittorio Reynoso-Avila
|
F | 7 | 3.4 | 1.4 | 1.0 | 0.7 | 0.1 | 0.0 | 0.0 | 0.0 | 3.3 | 14 | 9 | 1.6 | 17.9 | 0 | 0 | 0 | -0.98 | 0 | 0 |
Alexander Lee
|
- | 3 | 2.0 | 1.3 | 0.7 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Mike LeBlanc
|
F | 11 | 3.6 | 1.2 | 0.4 | 0.2 | 0.2 | 0.1 | 0.1 | 0.2 | 1.7 | 6 | 16 | 0.4 | 4.5 | 50.0 | 0.0 | 0 | -2.18 | 325.0 | 50.0 |
Jose Morales
|
G | 12 | 4.1 | 1.2 | 0.3 | 0.6 | 0.2 | 0.0 | 0.6 | 0.4 | 1.3 | 27 | 14 | 1.9 | 19.5 | 20.0 | 0.0 | 100.0 | 0.71 | 137.9 | 20.0 |
Jackson Forbes
|
F | 6 | 2.8 | 1.0 | 0.5 | 0.3 | 0.0 | 0.0 | 0.2 | 0.2 | 1.5 | 6 | 8 | 0.8 | 12.9 | 100.0 | 0 | 0 | -1.66 | 300.0 | 100.0 |
Noah Bramlage
|
F | 8 | 2.5 | 0.6 | 0.6 | 0.4 | 0.0 | 0.0 | 0.4 | 0.2 | 1.0 | -5 | 10 | -0.5 | -7.6 | 50.0 | 0 | 0 | -3.63 | 125.0 | 50.0 |
Khyan Rayner
|
G | 8 | 2.9 | 0.4 | 0.5 | 0.1 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -9 | 11 | -0.8 | -9.7 | 0 | 0 | 0 | -4.07 | 0 | 0 |
Elias Berbari
|
G | 3 | 2.0 | 0.0 | 0.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | - | - | - | - | 0 | 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