Connecticut Sun
2025 Team Stats (46 games)
75.9
PPG
85.8
Opp
-9.9
Margin
41.1%
FG%
30.5%
3P%
79.4%
FT%
31.8
RPG
17.5
APG
13.1
TO
88.2
Pace
79.3
AdjO
84.0
AdjD
#14
Rank
Model Outputs
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 → | 877 (#14) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 857 (#15) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 915 (#14) | HCA +45 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -3.1 (#14) | HCA +2.6 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -4.0 (#13) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.152 (#14) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.152 (#14) | NetEff -12.5 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.310 (#15) | AdjNet -5.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.313 (#15) | AdjNet -5.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.395 (#14) | AdjO 79.3 | AdjD 84.0 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.360 (#16) | AdjO 78.1 | AdjD 84.4 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.364 (#14) | 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 → | 0.357 (#14) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 887 (#14) | RD 141 | GP 46 |
2025 Schedule & Results
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Tina Charles
|
C | 45 | 28.2 | 16.2 | 5.7 | 1.7 | 0.8 | 0.5 | 2.0 | 13.8 | 9.2 | - | - | - | 43.8 | 26.5 | 86.1 | 0.46 | 51.4 | 44.8 |
Marina Mabrey
|
G | 36 | 31.2 | 14.4 | 4.1 | 4.0 | 0.7 | 0.3 | 2.8 | 13.8 | 6.8 | - | - | - | 36.8 | 27.5 | 87.2 | 1.08 | 48.0 | 43.8 |
L. Lacan
|
G | 25 | 26.6 | 10.4 | 2.4 | 3.7 | 2.2 | 0.2 | 1.9 | 8.7 | 8.2 | - | - | - | 47.7 | 22.4 | 85.7 | - | 54.8 | 51.1 |
B. Hartley
|
G | 38 | 22.8 | 8.9 | 2.0 | 3.1 | 0.8 | 0.0 | 1.8 | 7.7 | 5.2 | - | - | - | 36.2 | 36.7 | 77.2 | - | 50.5 | 45.4 |
S. Rivers
|
G | 42 | 26.2 | 8.8 | 2.8 | 2.7 | 1.5 | 0.9 | 1.5 | 8.3 | 6.9 | - | - | - | 40.7 | 34.1 | 74.6 | - | 49.5 | 46.8 |
O. Nelson-Ododa
|
C | 39 | 21.3 | 8.3 | 4.9 | 0.9 | 0.8 | 1.2 | 1.1 | 5.7 | 9.2 | - | - | - | 52.9 | 50.0 | 70.7 | - | 58.5 | 53.1 |
A. Morrow
|
F | 41 | 18.9 | 7.7 | 6.9 | 0.5 | 0.8 | 0.4 | 1.1 | 7.3 | 7.9 | - | - | - | 37.5 | 24.0 | 75.8 | - | 46.1 | 40.5 |
Jacy Sheldon
|
G | 30 | 23.9 | 7.7 | 1.8 | 1.9 | 0.9 | 0.2 | 1.0 | 6.0 | 5.5 | - | - | - | 47.5 | 41.5 | 87.5 | - | 60.6 | 58.3 |
A. Okonkwo
|
F | 2 | 14.0 | 7.0 | 4.0 | 0.5 | 0.5 | 0.0 | 0.0 | 7.0 | 5.0 | - | - | - | 35.7 | 0.0 | 100.0 | - | 44.4 | 35.7 |
Aaliyah Edwards
|
F | 15 | 17.0 | 4.6 | 4.2 | 0.7 | 0.9 | 0.5 | 1.2 | 4.0 | 5.7 | - | - | - | 40.0 | 0.0 | 67.7 | - | 46.8 | 40.0 |
Y. Anderson
|
G | 2 | 23.5 | 4.5 | 2.5 | 3.5 | 1.5 | 0.0 | 0.5 | 2.5 | 9.0 | - | - | - | 40.0 | 0.0 | 83.3 | - | 58.9 | 40.0 |
Jaelyn Brown
|
G | 10 | 13.1 | 3.7 | 1.2 | 0.1 | 0.5 | 0.2 | 0.5 | 3.7 | 1.5 | - | - | - | 37.8 | 44.4 | 50.0 | - | 48.8 | 48.6 |
Lindsay Allen
|
G | 33 | 14.8 | 2.5 | 1.1 | 2.2 | 0.3 | 0.2 | 1.1 | 2.2 | 2.9 | - | - | - | 40.8 | 20.0 | 79.2 | 0.32 | 49.7 | 43.7 |
H. Peters
|
F | 35 | 12.1 | 2.3 | 2.4 | 0.8 | 0.4 | 0.1 | 0.7 | 2.6 | 2.6 | - | - | - | 33.0 | 25.0 | 76.9 | - | 41.9 | 39.0 |
K. Diaby
|
C | 15 | 8.3 | 2.2 | 1.1 | 0.4 | 0.4 | 0.1 | 1.1 | 1.5 | 1.7 | - | - | - | 45.5 | 0 | 81.2 | - | 56.8 | 45.5 |
M. Toure
|
G | 18 | 8.3 | 2.0 | 0.4 | 0.5 | 0.4 | 0.0 | 0.4 | 2.2 | 0.7 | - | - | - | 35.9 | 36.4 | 0 | - | 46.2 | 46.2 |
R. Marshall
|
C | 17 | 6.1 | 1.9 | 1.6 | 0.3 | 0.3 | 0.2 | 0.4 | 2.0 | 1.9 | - | - | - | 35.3 | 0.0 | 61.5 | - | 40.3 | 35.3 |
M. Hayes
|
- | 2 | 13.5 | 1.5 | 1.5 | 1.5 | 1.0 | 0.5 | 0.0 | 4.0 | 2.0 | - | - | - | 12.5 | 20.0 | 0 | - | 18.8 | 18.8 |
Robyn Parks
|
F | 8 | 13.6 | 1.4 | 1.8 | 0.6 | 0.6 | 0.0 | 0.4 | 2.0 | 2.0 | - | - | - | 25.0 | 23.1 | 0.0 | - | 33.5 | 34.4 |
C. Bickle
|
F | 1 | 5.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
K. Borkowska
|
C | 1 | 3.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 | -2.0 | - | - | - | 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