Colgate Raiders
2016 Team Stats (3 games)
64.0
PPG
83.7
Opp
-19.7
Margin
36.1%
FG%
38.0%
3P%
73.0%
FT%
37.7
RPG
10.3
APG
16.7
TO
-
Est. poss./game
58.5
Adj PPG
70.1
Adj Opp PPG
#289
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 | 727 (#291) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 733 (#314) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 905 (#285) | HCA +74 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | -12.3 (#289) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | -11.3 (#285) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.131 (#306) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.098 (#292) | AdjNet -19.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.096 (#291) | AdjNet -19.3 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.259 (#289) | AdjO 58.5 | AdjD 70.1 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.335 (#285) | AdjO 61.4 | 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 | 0.206 (#292) | 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 | 0.218 (#290) | 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 | 756 (#311) | RD 147 | GP 30 |
2016 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2015-11-15 | @ | Kent State Golden Flashes | L | 71 - 76 |
| 2015-11-18 | @ | Cornell Big Red | L | 60 - 73 |
| 2015-11-22 | vs | Monmouth Hawks | L | 80 - 86 |
| 2015-11-27 | @ | DePaul Blue Demons | L | 46 - 96 |
| 2015-12-05 | @ | LIU Brooklyn Blackbirds | W | 63 - 53 |
| 2015-12-07 | @ | Binghamton Bearcats | L | 56 - 63 |
| 2015-12-09 | vs | UConn Huskies | L | 50 - 94 |
| 2015-12-13 | vs | Gonzaga Bulldogs | L | 50 - 80 |
| 2015-12-19 | vs | St. Bonaventure Bonnies | L | 38 - 62 |
| 2015-12-22 | @ | Lafayette Leopards | W | 72 - 59 |
| 2015-12-28 | vs | Siena Saints | W | 52 - 50 |
| 2016-01-02 | vs | American University Eagles | L | 37 - 49 |
| 2016-01-06 | vs | Holy Cross Crusaders | L | 71 - 80 |
| 2016-01-09 | @ | Navy Midshipmen | L | 41 - 51 |
| 2016-01-13 | @ | Army Black Knights | L | 55 - 67 |
| 2016-01-16 | vs | Bucknell Bison | L | 51 - 71 |
| 2016-01-20 | @ | Boston University Terriers | W | 72 - 63 |
| 2016-01-23 | vs | Loyola Maryland Greyhounds | L | 49 - 65 |
| 2016-01-30 | @ | American University Eagles | L | 56 - 64 |
| 2016-02-03 | @ | Holy Cross Crusaders | L | 61 - 70 |
| 2016-02-06 | vs | Navy Midshipmen | L | 58 - 62 |
| 2016-02-10 | vs | Army Black Knights | L | 55 - 78 |
| 2016-02-13 | @ | Bucknell Bison | L | 60 - 79 |
| 2016-02-17 | vs | Boston University Terriers | L | 58 - 71 |
| 2016-02-21 | @ | Loyola Maryland Greyhounds | L | 38 - 55 |
| 2016-02-24 | @ | Lehigh Mountain Hawks | L | 74 - 83 |
| 2016-02-27 | vs | Lafayette Leopards | W | 70 - 55 |
| 2016-03-02 | vs | Lehigh Mountain Hawks | W | 82 - 72 |
| 2016-03-05 | vs | Lafayette Leopards | W | 80 - 68 |
| 2016-03-07 | @ | Army Black Knights | L | 62 - 89 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Bynum
|
C | 3 | 28.7 | 16.3 | 1.7 | 1.0 | 0.0 | 0.0 | 1.7 | 15.3 | 2.0 | -183 | 25 | -7.3 | -10.6 | 39.1 | 46.2 | 100.0 | -2.01 | 52.8 | 52.2 |
J. Stockill
|
F | 3 | 25.7 | 12.3 | 7.7 | 0.3 | 0.3 | 2.3 | 0.7 | 13.3 | 9.0 | -154 | 25 | -6.2 | -8.7 | 35.0 | 0 | 81.8 | -0.76 | 41.3 | 35.0 |
K. Curtis
|
G | 3 | 27.7 | 10.0 | 3.7 | 2.7 | 2.0 | 0.0 | 3.3 | 8.3 | 6.7 | -136 | 25 | -5.4 | -8.3 | 32.0 | 43.8 | 87.5 | 0.58 | 52.6 | 46.0 |
A. Etheridge
|
G | 3 | 19.0 | 9.0 | 0.3 | 0.0 | 0.7 | 0.0 | 2.7 | 9.3 | -2.0 | -92 | 25 | -3.7 | -9.7 | 32.1 | 33.3 | 83.3 | -1.87 | 44.1 | 39.3 |
R. Butler
|
G | 1 | 26.0 | 8.0 | 3.0 | 4.0 | 1.0 | 0.0 | 6.0 | 7.0 | 3.0 | -34 | 9 | -3.8 | -5.7 | 57.1 | 0 | 0 | 1.38 | 57.1 | 57.1 |
K. Stone
|
G | 3 | 17.7 | 4.7 | 2.3 | 0.3 | 0.3 | 0.0 | 1.0 | 4.7 | 2.0 | -67 | 25 | -2.7 | -6.5 | 35.7 | 30.0 | 50.0 | -1.75 | 47.0 | 46.4 |
M. Chandler
|
F | 3 | 20.7 | 4.3 | 5.7 | 0.3 | 1.0 | 1.3 | 1.7 | 3.0 | 8.0 | -57 | 25 | -2.3 | -6.5 | 55.6 | 0.0 | 100.0 | -0.12 | 63.0 | 55.6 |
J. Barcello
|
F | 2 | 30.0 | 2.5 | 8.0 | 2.5 | 1.0 | 0.5 | 1.0 | 2.0 | 11.5 | -100 | 22 | -4.5 | -11.7 | 50.0 | 0 | 25.0 | -3.95 | 43.4 | 50.0 |
C. Koren
|
G | 3 | 15.0 | 2.0 | 1.3 | 1.3 | 0.0 | 0.3 | 0.3 | 3.0 | 1.7 | -70 | 24 | -2.9 | -10.9 | 33.3 | 0.0 | 0.0 | -3.16 | 30.4 | 33.3 |
M. Carroll
|
G | 3 | 3.3 | 1.0 | 0.3 | 0.3 | 0.0 | 0.0 | 0.3 | 1.0 | 0.3 | -22 | 16 | -1.4 | -16.9 | 33.3 | 33.3 | 0 | -3.26 | 50.0 | 50.0 |
T. Pozsonyi
|
F | 3 | 8.7 | 0.0 | 0.7 | 1.0 | 0.3 | 0.0 | 1.0 | 1.0 | 0.0 | -85 | 24 | -3.5 | -12.2 | 0.0 | 0 | 0 | -2.82 | 0.0 | 0.0 |
S. King
|
F | 3 | 5.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | -27 | 20 | -1.4 | -10.7 | 0.0 | 0.0 | 0 | -1.3 | 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