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Connecticut Sun

Season: 2026 2025 2024 2023 2022 2021 2020 2019 2018 2017
Also known as: Connecticut Sun
Program History

2026 Team Stats (2 games)

75.0
PPG
86.7
Opp
-10.9
Margin
46.4%
FG%
26.8%
3P%
62.2%
FT%
34.0
RPG
17.0
APG
20.5
TO
91.1
Pace

Model Outputs

2025 latest available
Catalog

No materialized model snapshot for 2026 yet, so this section is showing the latest available team-model rows.

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. HCA +45 elo More → 915 (#14) HCA +45 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.6 More → -3.1 (#14) HCA +2.6
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.7 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. NetEff -12.5 More → 0.152 (#14) NetEff -12.5
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -5.7 More → 0.310 (#15) AdjNet -5.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -5.5 More → 0.313 (#15) AdjNet -5.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 79.3 | AdjD 84.0 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. AdjO 78.1 | AdjD 84.4 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. Blend of Elo, BT, Margin, PythLog, PtsOD 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. Blend of Elo, BT, Margin, PythLog, PtsOD 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. RD 141 | GP 46 More → 887 (#14) RD 141 | GP 46

2026 Schedule & Results

Date Vs/At Opponent Result Score
2026-04-29 @ Toronto Tempo W 83 - 78
2026-05-03 vs New York Liberty L 67 - 79
2026-05-08 @ New York Liberty L 75 - 106
2026-05-10 vs Seattle Storm L 82 - 89
2026-05-13 vs Las Vegas Aces L 69 - 98
2026-05-15 vs Las Vegas Aces L 94 - 101
2026-05-18 @ Portland Fire L 82 - 83
2026-05-20 @ Seattle Storm W 80 - 78
2026-05-22 @ Seattle Storm L 59 - 77
2026-05-25 @ Golden State Valkyries L 70 - 97
2026-05-27 @ Portland Fire L 61 - 71
2026-05-30 vs Los Angeles Sparks W 84 - 81
2026-06-02 @ Atlanta Dream L 75 - 91
2026-06-05 @ Chicago Sky L 80 - 85

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%
A. Morrow A. Morrow F 2 19.5 14.5 7.5 0.0 2.0 0.5 1.0 10.5 13.0 - - - 52.4 20.0 85.7 - 60.2 54.8
Aaliyah Edwards Aaliyah Edwards F 1 17.0 14.0 5.0 0.0 0.0 0.0 1.0 8.0 10.0 - - - 75.0 0.0 100.0 - 78.8 75.0
B. Griner B. Griner C 2 18.5 11.5 4.5 1.5 0.5 0.5 0.0 8.0 10.5 - - - 62.5 66.7 20.0 - 63.2 68.8
Kennedy Burke Kennedy Burke F 2 22.5 8.0 2.5 3.5 0.0 0.5 2.0 7.5 5.0 - - - 40.0 36.4 0 - 53.3 53.3
Diamond Miller Diamond Miller F 2 17.0 7.0 2.5 2.0 0.5 0.5 1.5 4.5 6.5 - - - 44.4 0.0 100.0 - 60.1 44.4
H. Turner H. Turner - 1 14.0 7.0 2.0 0.0 0.0 0.0 1.0 4.0 4.0 - - - 50.0 33.3 100.0 - 71.7 62.5
O. Nelson-Ododa O. Nelson-Ododa C 2 13.0 6.0 4.0 0.0 0.5 0.5 3.5 4.0 3.5 - - - 62.5 0 25.0 - 52.1 62.5
R. Beers R. Beers - 2 12.5 4.5 2.5 1.5 1.0 0.5 2.0 3.5 4.5 - - - 57.1 50.0 0 - 64.3 64.3
C. Leger-Walker C. Leger-Walker - 2 19.0 4.0 1.0 2.0 0.5 0.5 4.0 2.5 1.5 - - - 60.0 0 66.7 - 63.3 60.0
G. Kneepkens G. Kneepkens - 2 15.0 4.0 2.0 1.0 1.0 0.0 0.5 5.0 2.5 - - - 30.0 40.0 0.0 - 36.8 40.0
S. Rivers S. Rivers G 2 23.5 3.0 1.5 3.5 1.0 1.0 3.0 6.0 1.0 - - - 16.7 0.0 100.0 - 23.3 16.7
M. Hayes M. Hayes - 2 8.5 1.0 2.0 0.5 0.5 0.0 0.0 1.5 2.5 - - - 33.3 0.0 0 - 33.3 33.3
T. Bigby T. Bigby - 2 9.5 1.0 0.5 1.5 0.0 0.5 0.0 2.5 1.0 - - - 20.0 0.0 0 - 20.0 20.0
K. Oldacre K. Oldacre - 1 5.0 0.0 0.0 0.0 0.0 0.0 2.0 1.0 -3.0 - - - 0.0 0 0 - 0.0 0.0
M. Toure M. Toure G 1 7.0 0.0 0.0 0.0 0.0 0.0 2.0 1.0 -3.0 - - - 0.0 0.0 0 - 0.0 0.0

Numbers/Game vs RAPM

Not enough players with both Numbers/Game and RAPM to plot.

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