Siena Saints
2014 Team Stats (3 games)
67.0
PPG
83.8
Opp
-17.8
Margin
39.8%
FG%
35.9%
3P%
76.7%
FT%
34.0
RPG
10.0
APG
19.3
TO
83.5
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 → | 860 (#558) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 874 (#558) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +9.5 (#297) | HCA +3.1 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.650 (#150) | - |
2014 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2013-12-09 | @ | Maryland Terrapins | L | 49 - 105 |
| 2013-12-31 | vs | Rider Broncs | L | 63 - 77 |
| 2014-03-06 | @ | Manhattan Jaspers | W | 87 - 66 |
| 2014-03-07 | @ | Marist Red Foxes | L | 65 - 87 |
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. Tatum
|
- | 3 | 23.3 | 12.7 | 6.7 | 0.0 | 1.3 | 2.0 | 2.3 | 9.0 | 11.3 | - | - | - | 51.9 | 52.6 | 0 | - | 70.4 | 70.4 |
K. Cummings
|
G | 3 | 21.3 | 11.0 | 3.3 | 0.7 | 0.7 | 0.0 | 2.0 | 6.7 | 7.0 | - | - | - | 55.0 | 50.0 | 83.3 | - | 72.9 | 70.0 |
T. Coles
|
G | 3 | 27.3 | 9.3 | 3.0 | 1.0 | 1.3 | 0.3 | 2.0 | 8.7 | 4.3 | - | - | - | 42.3 | 25.0 | 66.7 | - | 48.9 | 46.2 |
I. Krogh
|
G | 3 | 26.0 | 8.3 | 5.7 | 2.0 | 1.0 | 0.3 | 2.7 | 5.7 | 9.0 | - | - | - | 29.4 | 50.0 | 87.5 | - | 52.0 | 32.4 |
M. Donohue
|
F | 3 | 23.7 | 8.0 | 4.0 | 0.3 | 0.3 | 0.7 | 1.0 | 4.3 | 8.0 | - | - | - | 53.8 | 0 | 83.3 | - | 65.6 | 53.8 |
B. Logan
|
G | 3 | 23.0 | 5.3 | 2.3 | 2.7 | 0.0 | 0.0 | 2.0 | 7.3 | 1.0 | - | - | - | 22.7 | 15.4 | 57.1 | - | 31.9 | 27.3 |
C. Anglada
|
F | 3 | 14.3 | 4.3 | 1.7 | 0.7 | 1.7 | 0.7 | 2.3 | 4.7 | 2.0 | - | - | - | 21.4 | 22.2 | 83.3 | - | 39.1 | 28.6 |
S. Kelly
|
F | 1 | 21.0 | 4.0 | 4.0 | 0.0 | 1.0 | 1.0 | 2.0 | 2.0 | 6.0 | - | - | - | 100.0 | 0 | 0 | - | 100.0 | 100.0 |
C. Stewart
|
G | 3 | 21.0 | 3.3 | 1.3 | 1.7 | 1.0 | 0.0 | 1.7 | 4.7 | 1.0 | - | - | - | 35.7 | 0 | 0 | - | 35.7 | 35.7 |
A. Mullings
|
G | 1 | 16.0 | 3.0 | 1.0 | 2.0 | 0.0 | 0.0 | 2.0 | 6.0 | -2.0 | - | - | - | 16.7 | 0.0 | 50.0 | - | 21.8 | 16.7 |
E. Willingham
|
G | 3 | 7.7 | 2.3 | 1.0 | 0.3 | 0.3 | 0.0 | 1.7 | 1.7 | 0.7 | - | - | - | 40.0 | 0 | 60.0 | - | 48.6 | 40.0 |
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