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Minnesota Lynx

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

2026 Team Stats (3 games)

79.3
PPG
76.8
Opp
+11.2
Margin
45.2%
FG%
31.3%
3P%
68.5%
FT%
34.7
RPG
18.3
APG
17.7
TO
90.2
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 → 1112 (#4) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1170 (#1) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +45 elo More → 1062 (#3) HCA +45 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.6 More → +13.3 (#1) HCA +2.6
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.7 More → +10.5 (#3) HCA +2.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.799 (#2) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +10.1 More → 0.799 (#2) NetEff +10.1
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +14.5 More → 0.884 (#1) AdjNet +14.5
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +14.7 More → 0.888 (#1) AdjNet +14.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 87.6 | AdjD 76.2 More → 0.737 (#1) AdjO 87.6 | AdjD 76.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 85.0 | AdjD 78.1 More → 0.651 (#3) AdjO 85.0 | AdjD 78.1
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 → 0.735 (#3) 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 → 0.719 (#3) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 86 | GP 53 More → 1126 (#3) RD 86 | GP 53

2026 Schedule & Results

Date Vs/At Opponent Result Score
2026-04-25 @ Washington Mystics W 77 - 66
2026-04-27 vs Nigeria W 88 - 79
2026-05-01 vs Toronto Tempo W 73 - 66
2026-05-09 vs Atlanta Dream L 90 - 91
2026-05-12 @ Phoenix Mercury W 88 - 84
2026-05-14 @ Dallas Wings W 90 - 86
2026-05-17 vs Chicago Sky L 79 - 86
2026-05-21 vs Toronto Tempo W 100 - 72
2026-05-23 @ Chicago Sky W 85 - 75
2026-05-27 vs Atlanta Dream W 96 - 81
2026-05-29 @ Chicago Sky W 79 - 58
2026-06-01 @ Phoenix Mercury W 111 - 77
2026-06-04 vs Golden State Valkyries - Preview

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%
E. Cechova E. Cechova F 1 24.0 16.0 6.0 0.0 0.0 4.0 2.0 7.0 17.0 - - - 71.4 0 60.0 - 70.2 71.4
Kayla McBride Kayla McBride G 1 21.0 13.0 3.0 1.0 1.0 0.0 1.0 7.0 10.0 - - - 57.1 0 71.4 - 64.5 57.1
O. Miles O. Miles - 3 21.3 10.7 4.7 3.0 0.3 0.0 2.0 7.7 9.0 - - - 47.8 25.0 64.3 - 54.9 50.0
A. Kosu A. Kosu F 1 15.0 10.0 5.0 0.0 0.0 0.0 0.0 4.0 11.0 - - - 75.0 0 100.0 - 86.8 75.0
N. Coffey N. Coffey F 3 17.7 8.0 3.7 0.7 0.0 1.3 0.3 6.3 7.0 - - - 47.4 28.6 80.0 - 56.6 52.6
C. Williams C. Williams G 3 13.7 7.0 2.7 3.3 0.7 0.0 2.3 6.7 4.7 - - - 45.0 50.0 100.0 - 51.4 50.0
E. Hamzova E. Hamzova G 3 16.0 7.0 1.3 3.3 0.3 0.7 4.0 4.0 4.7 - - - 33.3 100.0 61.1 - 52.7 41.7
L. White L. White - 2 9.0 6.0 1.0 0.0 0.0 0.0 0.5 5.5 1.0 - - - 27.3 28.6 80.0 - 45.5 36.4
S. Poffenbarger S. Poffenbarger - 3 23.0 5.7 6.0 0.7 0.3 1.0 0.7 6.0 7.0 - - - 33.3 20.0 100.0 - 45.0 41.7
Jaylyn Sherrod Jaylyn Sherrod G 3 10.7 5.0 0.3 1.0 1.0 0.0 0.3 2.3 4.7 - - - 71.4 0 62.5 - 71.3 71.4
J. Masogayo J. Masogayo - 2 9.0 5.0 1.5 0.5 0.5 0.0 2.0 4.5 1.0 - - - 55.6 0 0 - 55.6 55.6
L. King L. King F 3 14.7 4.7 3.7 1.7 1.0 0.7 2.0 4.0 5.7 - - - 41.7 0.0 50.0 - 45.1 41.7
R. Richardson R. Richardson - 2 11.5 4.0 0.5 0.0 0.5 0.0 1.0 2.5 1.5 - - - 60.0 50.0 100.0 - 73.5 70.0
A. Delaere A. Delaere F 3 19.0 3.3 1.7 2.3 0.3 0.0 0.7 2.7 4.3 - - - 37.5 40.0 100.0 - 56.3 50.0
A. Griffin A. Griffin - 2 12.5 3.0 1.0 0.0 0.5 0.5 0.5 2.0 2.5 - - - 50.0 0 100.0 - 61.5 50.0
R. Kyle R. Kyle - 2 8.5 2.5 2.5 1.0 0.5 0.0 2.0 0.5 4.0 - - - 100.0 0 100.0 - 107.8 100.0
S. Walker S. Walker - 2 8.5 2.0 1.0 0.5 0.0 1.0 0.5 2.0 2.0 - - - 50.0 0 0 - 50.0 50.0
Natasha Howard Natasha Howard F 1 13.0 0.0 2.0 2.0 0.0 0.0 0.0 5.0 -1.0 - - - 0.0 0 0 - 0.0 0.0
A. Battle A. Battle - 2 1.5 0.0 0.5 0.0 0.5 0.0 0.0 0.5 0.5 - - - 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