Princeton
2016 Team Stats (8 games)
75.4
PPG
71.0
Opp
+4.4
Margin
46.3%
FG%
39.4%
3P%
71.6%
FT%
31.3
RPG
12.5
APG
11.0
TO
-
Est. poss./game
76.7
Adj PPG
68.2
Adj Opp PPG
#67
Scoring Rank
Model Outputs
2015-2016
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 | 1196 (#64) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1209 (#45) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1125 (#32) | HCA +98 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +8.5 (#73) | HCA +2.9 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +9.6 (#57) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.800 (#30) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.771 (#83) | AdjNet +10.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.774 (#82) | AdjNet +10.6 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.683 (#67) | AdjO 76.7 | AdjD 68.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.678 (#37) | AdjO 77.2 | AdjD 69.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.726 (#58) | 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 | 0.725 (#57) | 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 | 1160 (#72) | RD 128 | GP 28 |
2016 Schedule & Results
2016 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Henry Caruso
|
F | 24 | 27.8 | 16.0 | 6.3 | 1.6 | 1.5 | 0.1 | 1.7 | 4.1 | 19.7 | 177 | 24 | 7.4 | 11.7 | 55.1 | 53.6 | 66.0 | 0.24 | 161.4 | 62.8 |
Devin Cannady
|
- | 24 | 21.2 | 10.9 | 2.5 | 1.2 | 1.2 | 0.2 | 1.2 | 2.4 | 12.4 | 166 | 24 | 6.9 | 14.1 | 44.8 | 40.6 | 88.1 | 4.02 | 171.3 | 56.0 |
Steven Cook
|
F | 24 | 26.8 | 10.7 | 4.3 | 1.3 | 1.1 | 0.7 | 1.3 | 3.0 | 13.8 | 187 | 24 | 7.8 | 12.6 | 46.6 | 41.0 | 76.9 | 2.76 | 163.2 | 57.5 |
Spencer Weisz
|
F | 24 | 31.0 | 10.5 | 5.3 | 3.8 | 0.9 | 0.1 | 1.4 | 3.2 | 16.1 | 211 | 24 | 8.8 | 12.5 | 47.4 | 44.4 | 88.2 | 1.14 | 151.5 | 60.5 |
Amir Bell
|
G | 24 | 26.4 | 8.9 | 2.6 | 2.5 | 0.9 | 0.2 | 1.8 | 2.5 | 10.8 | 201 | 24 | 8.4 | 13.9 | 44.3 | 34.8 | 50.0 | 1.94 | 158.6 | 50.8 |
Pete Miller
|
F | 24 | 20.9 | 6.1 | 5.9 | 1.6 | 0.5 | 1.2 | 1.4 | 2.2 | 11.6 | 128 | 24 | 5.3 | 11.8 | 44.4 | 0 | 36.4 | -1.16 | 124.9 | 44.4 |
Myles Stephens
|
G | 24 | 14.3 | 5.7 | 2.2 | 0.3 | 0.5 | 0.4 | 0.8 | 1.8 | 6.4 | 70 | 24 | 2.9 | 9.1 | 52.3 | 30.0 | 83.3 | -1.66 | 131.0 | 55.7 |
Noah Bramlage
|
F | 14 | 8.1 | 3.0 | 1.2 | 0.8 | 0.1 | 0.1 | 0.5 | 0.2 | 4.5 | 1 | 14 | 0.1 | 0.4 | 0.0 | 0 | 0.0 | -1.59 | 541.2 | 0.0 |
Alec Brennan
|
F | 24 | 9.7 | 2.9 | 2.3 | 0.5 | 0.5 | 0.5 | 0.6 | 0.8 | 5.2 | 83 | 24 | 3.5 | 16.6 | 47.4 | 33.3 | 44.4 | -0.14 | 150.3 | 52.6 |
Khyan Rayner
|
G | 16 | 6.6 | 2.2 | 0.7 | 0.3 | 0.1 | 0.0 | 0.2 | 0.5 | 2.6 | -9 | 15 | -0.6 | -4.6 | 25.0 | 50.0 | 50.0 | -3.46 | 197.1 | 31.2 |
Jackson Forbes
|
F | 19 | 5.4 | 1.7 | 0.8 | 0.3 | 0.2 | 0.0 | 0.3 | 0.4 | 2.3 | -12 | 16 | -0.8 | -5.5 | 14.3 | 0.0 | 0 | -3.01 | 228.6 | 14.3 |
Mike LeBlanc
|
F | 12 | 6.3 | 1.7 | 0.9 | 0.4 | 0.3 | 0.0 | 0.2 | 0.3 | 2.8 | -25 | 11 | -2.3 | -16.9 | 0.0 | 0.0 | 0 | -3.78 | 250.0 | 0.0 |
Aaron Young
|
G | 18 | 4.7 | 1.5 | 0.4 | 0.5 | 0.1 | 0.0 | 0.2 | 0.1 | 2.3 | 6 | 17 | 0.4 | 4.1 | 0.0 | 0.0 | 100.0 | -1.42 | 718.1 | 0.0 |
Mike Washington
|
G | 14 | 4.2 | 1.1 | 0.9 | 0.4 | 0.0 | 0.0 | 0.4 | 0.3 | 1.6 | -12 | 12 | -1.0 | -10.5 | 50.0 | 0.0 | 0 | -1.92 | 187.5 | 50.0 |
Elias Berbari
|
G | 6 | 1.8 | 0.0 | 0.2 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | 8 | 7 | 1.1 | 37.3 | 0 | 0 | 0 | -0.06 | 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