Providence Friars
2025 Team Stats (2 games)
40.5
PPG
72.0
Opp
-31.5
Margin
29.2%
FG%
15.4%
3P%
88.5%
FT%
37.0
RPG
6.0
APG
28.0
TO
78.2
Pace
61.4
AdjO
57.5
AdjD
#133
Rank
Model Outputs
2024-2025
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 → | 980 (#185) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 995 (#173) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +4.0 (#132) | HCA +2.3 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.271 (#252) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.271 (#254) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.646 (#140) | AdjNet +5.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.654 (#137) | AdjNet +5.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.588 (#133) | AdjO 61.4 | AdjD 57.5 |
2025 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2024-12-29 | @ | UConn Huskies | L | 41 - 67 |
| 2025-02-09 | vs | UConn Huskies | L | 40 - 77 |
2025 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. Morales Romero
|
G | 2 | 29.5 | 10.0 | 3.5 | 1.0 | 0.5 | 0.0 | 3.5 | 9.0 | 2.5 | - | - | - | 44.4 | 30.0 | 100.0 | - | 54.2 | 52.8 |
G. Efosa
|
G | 2 | 36.5 | 9.0 | 5.0 | 0.5 | 1.0 | 0.0 | 3.0 | 10.5 | 2.0 | -53 | -1.7 | -1.6 | 19.0 | 12.5 | 100.0 | 0.3 | 36.1 | 21.4 |
O. Olsen
|
F | 2 | 28.0 | 6.5 | 10.5 | 1.0 | 0.5 | 0.5 | 4.0 | 7.0 | 8.0 | -23 | -0.7 | -1.0 | 42.9 | 0.0 | 50.0 | 0.55 | 43.7 | 42.9 |
B. Farrell
|
G | 2 | 30.5 | 6.0 | 4.0 | 1.0 | 1.5 | 0.5 | 4.5 | 8.0 | 0.5 | -41 | -1.3 | -1.7 | 12.5 | 0.0 | 100.0 | 0.3 | 30.7 | 12.5 |
E. Archibald
|
F | 2 | 25.0 | 4.5 | 3.0 | 0.5 | 0.0 | 0.5 | 0.5 | 3.0 | 5.0 | -24 | -0.8 | -1.4 | 50.0 | 25.0 | 100.0 | 0.37 | 65.4 | 58.3 |
N. Scott
|
G | 2 | 10.5 | 1.5 | 1.0 | 1.0 | 0.0 | 0.0 | 1.5 | 2.0 | 0.0 | 124 | 3.8 | 4.8 | 25.0 | 33.3 | 0 | 1.33 | 37.5 | 37.5 |
M. Scarlett
|
G | 1 | 18.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 6.0 | 4.0 | -8.0 | -35 | -1.2 | -2.6 | 0.0 | 0.0 | 50.0 | 0.07 | 10.2 | 0.0 |
U. Sirtautaite
|
F | 2 | 3.5 | 1.0 | 1.5 | 0.0 | 0.5 | 0.0 | 1.0 | 0.5 | 1.5 | 4 | 0.2 | 1.5 | 100.0 | 0 | 0 | -0.51 | 100.0 | 100.0 |
A. Shields
|
F | 2 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 0.5 | 0.0 | 4 | 0.2 | 1.6 | 100.0 | 0 | 0 | -0.54 | 100.0 | 100.0 |
S. Hall
|
G | 2 | 6.5 | 0.5 | 0.5 | 0.0 | 0.0 | 0.0 | 0.5 | 0.5 | 0.0 | -14 | -0.5 | -2.8 | 0.0 | 0 | 50.0 | -0.24 | 26.6 | 0.0 |
K. Sheppard
|
G | 1 | 14.0 | 0.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 2.0 | -15 | -0.9 | -1.7 | 0.0 | 0.0 | 0 | 0.09 | 0.0 | 0.0 |
A. Koch
|
G | 1 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | -2.0 | -2 | -0.2 | -1.8 | 0 | 0 | 0 | -0.97 | 0 | 0 |
S. Bandoma
|
F | 2 | 11.5 | 0.0 | 1.0 | 0.5 | 0.5 | 0.5 | 0.5 | 1.0 | 1.0 | -27 | -0.9 | -2.3 | 0.0 | 0 | 0 | 0.26 | 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