Providence Friars
2026 Team Stats (31 games)
85.1
PPG
84.6
Opp
+0.5
Margin
47.4%
FG%
36.1%
3P%
75.5%
FT%
38.5
RPG
13.8
APG
12.2
TO
84.4
Pace
89.7
AdjO
79.6
AdjD
#67
Rank
Model Outputs
2025-2026
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 → | 1081 (#117) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1037 (#142) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1002 (#187) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +10.1 (#66) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +23.4 (#65) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.544 (#148) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.483 (#176) | NetEff -0.6 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.819 (#69) | AdjNet +13.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.823 (#69) | AdjNet +13.3 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.715 (#67) | AdjO 89.7 | AdjD 79.6 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.588 (#133) | AdjO 81.6 | AdjD 77.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.851 (#83) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. More → | 0.808 (#86) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1091 (#143) | RD 132 | GP 31 |
2026 Schedule & Results
2026 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. Sellers
|
- | 31 | 30.0 | 18.5 | 4.0 | 1.6 | 0.9 | 0.2 | 1.7 | 13.1 | 10.5 | -10 | -0.5 | -1.1 | 46.7 | 42.0 | 85.8 | -0.1 | 61.3 | 55.8 |
J. Edwards
|
G | 21 | 27.0 | 16.9 | 3.0 | 3.0 | 0.8 | 0.0 | 1.7 | 12.7 | 9.3 | -17 | -1.2 | -14.4 | 43.2 | 32.8 | 78.6 | 0.35 | 56.9 | 51.3 |
Stefan Vaaks
|
- | 29 | 31.5 | 16.0 | 2.6 | 3.1 | 0.8 | 0.2 | 1.9 | 12.3 | 8.6 | 19 | 0.9 | 1.8 | 40.4 | 35.6 | 84.1 | 0.57 | 57.4 | 52.4 |
Jamier Jones
|
- | 29 | 26.1 | 11.6 | 4.6 | 1.4 | 0.8 | 0.3 | 1.8 | 7.7 | 9.1 | 47 | 2.2 | 6.8 | 54.5 | 36.7 | 66.1 | 1.07 | 60.6 | 57.0 |
R. Mela
|
- | 31 | 26.6 | 10.1 | 5.5 | 2.0 | 0.8 | 0.1 | 1.6 | 7.3 | 9.5 | -12 | -0.5 | -1.5 | 51.3 | 30.8 | 80.0 | -0.14 | 59.7 | 54.9 |
C. Floyd Jr.
|
- | 22 | 25.2 | 7.6 | 3.9 | 2.5 | 0.5 | 0.2 | 1.6 | 6.1 | 6.9 | -388 | -1.2 | -419.1 | 43.7 | 39.5 | 80.0 | -0.1 | 54.7 | 50.0 |
O. Erhunmwunse
|
- | 31 | 25.0 | 6.8 | 8.4 | 0.8 | 0.3 | 2.0 | 1.3 | 4.5 | 12.6 | 172 | 1.3 | 21.5 | 66.2 | 0 | 50.9 | 0.81 | 65.0 | 66.2 |
D. Powell
|
- | 20 | 17.1 | 4.8 | 3.0 | 0.7 | 0.3 | 0.3 | 0.7 | 4.2 | 4.3 | -71 | -0.9 | -161.8 | 36.9 | 31.1 | 61.5 | 0.06 | 50.8 | 48.2 |
Jaylen Harrell
|
- | 6 | 8.8 | 3.7 | 0.7 | 0.3 | 0.2 | 0.0 | 0.0 | 2.7 | 2.2 | 24 | 4.0 | 22.4 | 50.0 | 27.3 | 100.0 | 0.4 | 63.5 | 59.4 |
N. Daniels
|
- | 20 | 9.8 | 1.9 | 1.1 | 0.4 | 0.3 | 0.1 | 0.1 | 1.1 | 2.5 | 16 | 1.8 | 12.7 | 47.8 | 47.6 | 77.8 | 0.18 | 72.3 | 69.6 |
C. Hargrove
|
F | 27 | 13.1 | 1.6 | 2.8 | 0.5 | 0.2 | 0.6 | 0.5 | 1.2 | 4.0 | -18 | -0.9 | -6.4 | 50.0 | 0.0 | 61.1 | -0.19 | 53.9 | 50.0 |
Peteris Pinnis
|
- | 16 | 4.3 | 0.9 | 1.3 | 0.1 | 0.1 | 0.1 | 0.4 | 0.8 | 1.3 | 11 | 1.2 | 10.5 | 58.3 | 0 | 33.3 | 0.07 | 56.3 | 58.3 |
Jack Williams
|
- | 7 | 1.9 | 0.4 | 0.0 | 0.1 | 0.0 | 0.0 | 0.0 | 0.4 | 0.1 | 8 | 2.7 | 59.6 | 33.3 | 33.3 | 0 | 0.15 | 50.0 | 50.0 |
D. Davis
|
G | 1 | 11.0 | 0.0 | 1.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | 7 | 0.5 | 2.2 | 0 | 0 | 0.0 | -0.51 | 0.0 | 0 |
R. Barron
|
F | 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