Providence Friars
2024 Team Stats (5 games)
48.4
PPG
75.6
Opp
-27.2
Margin
32.2%
FG%
25.8%
3P%
56.0%
FT%
38.6
RPG
8.8
APG
21.8
TO
82.6
Pace
Model Outputs
2023-2024
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 → | 924 (#276) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1048 (#192) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +22.0 (#136) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.079 (#346) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.153 (#80) | AdjNet -14.8 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.148 (#80) | AdjNet -15.1 |
2024 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2023-12-20 | vs | Baylor Bears | L | 36 - 61 |
| 2024-01-10 | @ | UConn Huskies | L | 41 - 85 |
| 2024-01-14 | @ | Creighton Bluejays | L | 70 - 81 |
| 2024-03-02 | vs | UConn Huskies | L | 42 - 65 |
| 2024-03-09 | @ | UConn Huskies | L | 53 - 86 |
2024 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
G. Efosa
|
G | 4 | 35.0 | 13.2 | 6.0 | 1.5 | 1.5 | 0.2 | 3.5 | 13.8 | 5.2 | -96 | -12.0 | -10.4 | 38.2 | 20.0 | 66.7 | -0.79 | 43.0 | 39.1 |
O. Olsen
|
F | 5 | 25.8 | 9.0 | 7.8 | 0.4 | 0.6 | 0.4 | 3.0 | 7.8 | 7.4 | -53 | -7.6 | -10.5 | 41.0 | 0.0 | 46.4 | -0.49 | 43.8 | 41.0 |
B. Farrell
|
G | 5 | 24.2 | 7.4 | 3.4 | 1.0 | 0.6 | 0.2 | 2.4 | 8.0 | 2.2 | -82 | -10.2 | -11.4 | 27.5 | 38.9 | 80.0 | -0.9 | 41.7 | 36.2 |
M. Morales Romero
|
G | 5 | 21.0 | 5.4 | 2.6 | 1.6 | 0.6 | 0.4 | 1.8 | 5.6 | 3.2 | - | - | - | 39.3 | 26.3 | 0 | - | 48.2 | 48.2 |
N. Scott
|
G | 5 | 21.2 | 4.8 | 3.4 | 0.4 | 0.8 | 0.4 | 1.8 | 6.6 | 1.4 | 69 | 11.5 | 11.3 | 18.2 | 26.7 | 80.0 | 0.59 | 32.1 | 24.2 |
S. Hall
|
G | 4 | 14.0 | 3.8 | 3.0 | 1.2 | 0.2 | 0.2 | 0.8 | 4.8 | 3.0 | -43 | -6.1 | -20.6 | 31.6 | 18.2 | 33.3 | -0.28 | 36.9 | 36.8 |
E. Archibald
|
F | 5 | 22.0 | 3.0 | 4.2 | 1.0 | 1.4 | 0.2 | 2.2 | 3.2 | 4.4 | -53 | -6.6 | -8.1 | 37.5 | 30.0 | 0.0 | -0.63 | 44.4 | 46.9 |
S. Bandoma
|
F | 5 | 14.6 | 1.8 | 3.8 | 0.4 | 0.0 | 0.6 | 1.6 | 3.2 | 1.8 | -36 | -4.5 | -14.0 | 25.0 | 0 | 12.5 | -0.15 | 23.1 | 25.0 |
L. Edwards
|
G | 3 | 15.3 | 1.3 | 1.7 | 0.7 | 0.7 | 0.0 | 1.3 | 2.0 | 1.0 | - | - | - | 33.3 | 0.0 | 0 | -0.04 | 33.3 | 33.3 |
U. Sirtautaite
|
F | 4 | 6.5 | 1.2 | 1.0 | 0.5 | 0.0 | 0.2 | 1.8 | 1.0 | 0.2 | -19 | -3.2 | -12.6 | 25.0 | 0 | 75.0 | -0.09 | 43.4 | 25.0 |
K. Eddy
|
G | 4 | 14.0 | 1.2 | 0.2 | 0.5 | 0.2 | 0.0 | 1.5 | 2.2 | -1.5 | -51 | -6.4 | -8.8 | 22.2 | 14.3 | 0 | -0.29 | 27.8 | 27.8 |
B. McLaughlin
|
G | 4 | 8.0 | 0.8 | 0.5 | 0.8 | 0.0 | 0.0 | 1.0 | 0.5 | 0.5 | 5 | 1.0 | 5.4 | 0.0 | 0 | 75.0 | -0.02 | 39.9 | 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