Providence
2014 Team Stats (12 games)
72.3
PPG
74.2
Opp
-1.9
Margin
42.5%
FG%
34.3%
3P%
75.3%
FT%
35.3
RPG
12.3
APG
10.2
TO
77.5
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 → | 1388 (#115) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1404 (#87) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +33.5 (#61) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.473 (#38) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.396 (#45) | NetEff -4.0 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.688 (#43) | AdjNet +6.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.690 (#43) | AdjNet +7.0 |
2014 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2013-11-22 | @ | Vanderbilt Commodores | W | 67 - 60 |
| 2013-12-01 | @ | Kentucky Wildcats | L | 65 - 79 |
| 2013-12-28 | @ | Massachusetts Minutemen | L | 67 - 69 |
| 2014-01-05 | @ | Villanova Wildcats | L | 61 - 91 |
| 2014-01-18 | vs | Creighton Bluejays | W | 81 - 68 |
| 2014-02-18 | vs | Villanova Wildcats | L | 79 - 82 |
| 2014-02-28 | @ | Seton Hall Pirates | W | 74 - 69 |
| 2014-03-08 | @ | Creighton Bluejays | L | 73 - 88 |
| 2014-03-13 | vs | St. John's Red Storm | W | 79 - 74 |
| 2014-03-14 | vs | Seton Hall Pirates | W | 80 - 74 |
| 2014-03-15 | @ | Creighton Bluejays | W | 65 - 58 |
| 2014-03-21 | @ | North Carolina Tar Heels | L | 77 - 79 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
B. Cotton
|
G | 12 | 40.0 | 22.2 | 3.8 | 5.4 | 0.9 | 0.1 | 2.0 | 16.9 | 13.5 | - | - | - | 39.4 | 36.0 | 83.3 | - | 54.4 | 46.1 |
L. Henton
|
F | 12 | 38.3 | 14.5 | 8.1 | 1.9 | 1.2 | 0.3 | 1.4 | 11.4 | 13.2 | - | - | - | 43.1 | 32.6 | 75.0 | - | 53.8 | 48.2 |
K. Batts
|
F | 12 | 30.8 | 11.1 | 7.1 | 1.2 | 0.3 | 0.6 | 1.3 | 9.1 | 9.8 | - | - | - | 42.2 | 33.3 | 65.6 | - | 49.0 | 42.7 |
T. Harris
|
F | 12 | 33.2 | 11.0 | 5.6 | 1.3 | 1.0 | 0.7 | 1.8 | 9.7 | 8.1 | -27 | -2.5 | -6.4 | 40.5 | 32.1 | 72.5 | 0.53 | 49.4 | 44.4 |
J. Dunn
|
G | 1 | 31.0 | 10.0 | 4.0 | 5.0 | 3.0 | 0.0 | 3.0 | 9.0 | 10.0 | 1 | 0.2 | 0.4 | 44.4 | 0.0 | 100.0 | 0.21 | 50.6 | 44.4 |
J. Fortune
|
G | 12 | 31.4 | 9.0 | 2.2 | 1.5 | 0.8 | 0.4 | 2.4 | 6.0 | 5.6 | - | - | - | 48.6 | 36.7 | 80.0 | - | 65.1 | 61.1 |
C. Desrosiers
|
F | 12 | 18.6 | 3.1 | 3.7 | 0.3 | 0.6 | 2.1 | 0.6 | 2.1 | 7.1 | - | - | - | 56.0 | 0.0 | 75.0 | - | 61.1 | 56.0 |
T. Bancroft
|
G | 9 | 6.3 | 0.6 | 0.8 | 0.2 | 0.1 | 0.0 | 0.1 | 0.3 | 1.2 | - | - | - | 66.7 | 0.0 | 50.0 | - | 64.4 | 66.7 |
B. Kofane
|
F | 7 | 4.6 | 0.3 | 0.9 | 0.0 | 0.0 | 0.4 | 0.3 | 0.3 | 1.0 | - | - | - | 0.0 | 0 | 50.0 | - | 26.6 | 0.0 |
L. Goldsbrough
|
F | 7 | 6.4 | 0.0 | 1.0 | 0.1 | 0.1 | 0.0 | 0.1 | 0.0 | 1.1 | - | - | - | 0 | 0 | 0.0 | - | 0.0 | 0 |
C. Woodring
|
G | 2 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 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