Minnesota Lynx
2026 Team Stats (1 games)
77.0
PPG
-
Opp
-
Margin
42.2%
FG%
27.8%
3P%
69.2%
FT%
40.0
RPG
17.0
APG
21.0
TO
96.4
Pace
Model Outputs
2025 latest available
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. More → | 1062 (#3) | HCA +45 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +13.3 (#1) | HCA +2.6 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. 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. More → | 0.799 (#2) | NetEff +10.1 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.884 (#1) | AdjNet +14.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.888 (#1) | AdjNet +14.7 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. 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. 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. 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. 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. More → | 1126 (#3) | RD 86 | GP 53 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2026-04-25 | @ | Washington Mystics | - | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jaylyn Sherrod
|
G | 1 | 14.0 | 9.0 | 0.0 | 2.0 | 2.0 | 0.0 | 0.0 | 5.0 | 8.0 | - | - | - | 80.0 | 0 | 50.0 | - | 76.5 | 80.0 |
S. Poffenbarger
|
- | 1 | 26.0 | 9.0 | 13.0 | 1.0 | 1.0 | 1.0 | 0.0 | 6.0 | 19.0 | - | - | - | 50.0 | 25.0 | 100.0 | - | 65.4 | 58.3 |
O. Miles
|
- | 1 | 17.0 | 8.0 | 3.0 | 2.0 | 1.0 | 0.0 | 4.0 | 5.0 | 5.0 | - | - | - | 60.0 | 50.0 | 100.0 | - | 73.5 | 70.0 |
A. Griffin
|
- | 1 | 15.0 | 6.0 | 2.0 | 0.0 | 1.0 | 1.0 | 1.0 | 4.0 | 5.0 | - | - | - | 50.0 | 0 | 100.0 | - | 61.5 | 50.0 |
L. King
|
F | 1 | 18.0 | 6.0 | 3.0 | 1.0 | 1.0 | 2.0 | 2.0 | 8.0 | 3.0 | - | - | - | 37.5 | 0.0 | 0 | - | 37.5 | 37.5 |
J. Masogayo
|
- | 1 | 8.0 | 6.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 4.0 | 0.0 | - | - | - | 75.0 | 0 | 0 | - | 75.0 | 75.0 |
E. Hamzova
|
G | 1 | 13.0 | 6.0 | 2.0 | 2.0 | 1.0 | 1.0 | 3.0 | 5.0 | 4.0 | - | - | - | 0.0 | 0 | 60.0 | - | 31.9 | 0.0 |
N. Coffey
|
F | 1 | 13.0 | 5.0 | 5.0 | 1.0 | 0.0 | 3.0 | 0.0 | 5.0 | 9.0 | - | - | - | 20.0 | 50.0 | 100.0 | - | 42.5 | 30.0 |
R. Kyle
|
- | 1 | 13.0 | 5.0 | 4.0 | 2.0 | 1.0 | 0.0 | 3.0 | 1.0 | 8.0 | - | - | - | 100.0 | 0 | 100.0 | - | 107.8 | 100.0 |
A. Delaere
|
F | 1 | 18.0 | 5.0 | 3.0 | 2.0 | 0.0 | 0.0 | 2.0 | 4.0 | 4.0 | - | - | - | 50.0 | 33.3 | 0 | - | 62.5 | 62.5 |
C. Williams
|
G | 1 | 12.0 | 4.0 | 2.0 | 3.0 | 0.0 | 0.0 | 1.0 | 7.0 | 1.0 | - | - | - | 28.6 | 0.0 | 0 | - | 28.6 | 28.6 |
S. Walker
|
- | 1 | 13.0 | 4.0 | 2.0 | 1.0 | 0.0 | 2.0 | 1.0 | 4.0 | 4.0 | - | - | - | 50.0 | 0 | 0 | - | 50.0 | 50.0 |
R. Richardson
|
- | 1 | 11.0 | 3.0 | 0.0 | 0.0 | 1.0 | 0.0 | 2.0 | 2.0 | 0.0 | - | - | - | 50.0 | 100.0 | 0 | - | 75.0 | 75.0 |
L. White
|
- | 1 | 8.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | -2.0 | - | - | - | 0.0 | 0.0 | 50.0 | - | 12.9 | 0.0 |
A. Battle
|
- | 1 | 1.0 | 0.0 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 1.0 | 1.0 | - | - | - | 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