Stony Brook Seawolves
2014 Team Stats (3 games)
62.0
PPG
66.6
Opp
-3.0
Margin
34.6%
FG%
26.1%
3P%
73.5%
FT%
42.3
RPG
12.0
APG
15.7
TO
85.3
Pace
Model Outputs
2013-2014
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 → | 1147 (#94) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1063 (#146) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +17.0 (#198) | HCA +3.1 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.693 (#135) | - |
2014 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2013-11-29 | vs | Army Black Knights | L | 67 - 75 |
| 2013-12-31 | @ | Seton Hall Pirates | L | 65 - 80 |
| 2014-03-07 | vs | UMBC Retrievers | W | 61 - 49 |
| 2014-03-09 | vs | New Hampshire Wildcats | W | 79 - 59 |
| 2014-03-10 | @ | UAlbany Great Danes | L | 46 - 70 |
2014 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Ogunnorin
|
F | 3 | 32.0 | 12.3 | 6.0 | 0.3 | 0.3 | 0.3 | 3.0 | 13.3 | 3.0 | - | - | - | 32.5 | 0.0 | 84.6 | - | 40.5 | 32.5 |
C.J. Hooker
|
- | 3 | 27.7 | 10.3 | 8.3 | 3.0 | 1.7 | 0.3 | 2.7 | 12.0 | 9.0 | - | - | - | 33.3 | 50.0 | 0.0 | - | 42.0 | 43.1 |
S. Proctor
|
F | 3 | 25.3 | 9.7 | 6.0 | 1.3 | 0.7 | 0.7 | 2.7 | 10.3 | 5.3 | - | - | - | 41.9 | 14.3 | 50.0 | - | 44.3 | 43.5 |
B. Snow
|
F | 3 | 29.0 | 7.0 | 6.0 | 1.0 | 1.3 | 1.0 | 1.7 | 4.7 | 10.0 | - | - | - | 35.7 | 0 | 64.7 | - | 48.9 | 35.7 |
J. Naylor
|
- | 3 | 19.0 | 6.7 | 2.3 | 0.0 | 0.0 | 0.0 | 1.0 | 6.0 | 2.0 | - | - | - | 33.3 | 14.3 | 100.0 | - | 47.4 | 36.1 |
M. Jenkins
|
G | 2 | 21.0 | 6.5 | 4.5 | 2.0 | 0.5 | 0.0 | 1.0 | 9.5 | 3.0 | - | - | - | 31.6 | 33.3 | 0 | - | 34.2 | 34.2 |
K. Bayne-Walker
|
G | 3 | 19.3 | 6.3 | 1.7 | 2.7 | 0.7 | 0.0 | 2.0 | 3.0 | 6.3 | - | - | - | 22.2 | 0.0 | 71.4 | - | 52.1 | 22.2 |
K. Costantino
|
G | 3 | 17.0 | 4.0 | 1.3 | 1.7 | 2.0 | 0.0 | 1.3 | 2.7 | 5.0 | - | - | - | 37.5 | 28.6 | 100.0 | - | 61.5 | 50.0 |
A. Coiro
|
F | 3 | 9.7 | 1.3 | 2.0 | 0.0 | 0.3 | 0.3 | 0.0 | 1.0 | 3.0 | - | - | - | 66.7 | 0 | 0 | - | 66.7 | 66.7 |
K. Hanlon
|
G | 3 | 7.0 | 0.0 | 0.3 | 0.7 | 0.3 | 0.0 | 0.7 | 0.3 | 0.3 | - | - | - | 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