Providence Friars
2016 Team Stats (3 games)
57.0
PPG
82.0
Opp
-24.8
Margin
41.1%
FG%
32.6%
3P%
60.5%
FT%
26.3
RPG
11.0
APG
16.7
TO
75.6
Pace
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 → | 882 (#536) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 931 (#397) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +19.4 (#162) | HCA +3.0 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.381 (#255) | - |
2016 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2015-12-01 | @ | UAlbany Great Danes | L | 58 - 71 |
| 2016-01-24 | @ | DePaul Blue Demons | L | 50 - 96 |
| 2016-02-19 | vs | DePaul Blue Demons | L | 68 - 91 |
| 2016-03-05 | @ | Creighton Bluejays | L | 53 - 70 |
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/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
M. Jolin
|
G | 3 | 26.7 | 10.7 | 4.0 | 1.7 | 0.7 | 0.0 | 4.0 | 10.7 | 2.3 | - | - | - | 34.4 | 28.6 | 85.7 | 0.36 | 45.6 | 40.6 |
J. Nogic
|
G | 3 | 19.3 | 10.0 | 3.3 | 1.0 | 0.0 | 0.3 | 1.3 | 7.3 | 6.0 | - | - | - | 59.1 | 50.0 | 0 | 0.65 | 68.2 | 68.2 |
C. Che
|
G | 3 | 25.3 | 8.7 | 1.0 | 0.7 | 0.3 | 0.0 | 2.3 | 8.7 | -0.3 | - | - | - | 42.3 | 28.6 | 0.0 | 0.97 | 48.4 | 50.0 |
A. Botteghi
|
G | 3 | 27.3 | 7.7 | 4.7 | 1.3 | 0.0 | 0.0 | 2.3 | 6.7 | 4.7 | - | - | - | 40.0 | 25.0 | 62.5 | 0.45 | 48.9 | 45.0 |
S. Beal
|
G | 3 | 26.0 | 6.3 | 2.7 | 2.0 | 1.0 | 0.0 | 1.7 | 8.0 | 2.3 | - | - | - | 33.3 | 50.0 | 100.0 | 0.07 | 38.2 | 35.4 |
E. Iiskola
|
F | 3 | 25.3 | 5.3 | 1.7 | 0.7 | 0.7 | 0.0 | 1.0 | 4.3 | 3.0 | - | - | - | 46.2 | 0 | 80.0 | 0.8 | 52.6 | 46.2 |
A. Miller
|
F | 3 | 15.7 | 4.3 | 2.7 | 1.3 | 0.3 | 0.0 | 1.7 | 4.0 | 3.0 | - | - | - | 41.7 | 0 | 42.9 | 0.67 | 43.1 | 41.7 |
R. Aho
|
F | 2 | 13.0 | 2.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.5 | 1.5 | 2.0 | - | - | - | 33.3 | 0 | 100.0 | 0.17 | 51.5 | 33.3 |
E. Meyer
|
F | 3 | 11.3 | 2.0 | 1.0 | 1.0 | 0.0 | 1.0 | 1.0 | 0.7 | 3.3 | - | - | - | 50.0 | 0 | 40.0 | 0.64 | 46.9 | 50.0 |
B. Frias
|
F | 3 | 14.3 | 0.7 | 2.3 | 0.7 | 0.3 | 0.0 | 1.0 | 1.3 | 1.7 | - | - | - | 25.0 | 0 | 0 | 0.25 | 25.0 | 25.0 |
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