Minnesota Lynx at Seattle Storm
MIN
13-4
SEA
3-14
Verdict
Pass · no edge tonight.
The model doesn't see daylight against the posted line on this game. We don't surface negative-EV picks; check the drill-down for sub-model context.
Preview · WNBA
innesota Lynx visit Seattle Storm Wednesday at 7/22 - 3:00 PM EDT. MIN is rolling — 7-2 in their last 9.
The market hasn't shipped a line worth tagging key numbers on yet — check back closer to first pitch.
ByTheOnemodel/auto-generated · live odds + scouting data/refreshes with the page
Team stats
MIN
Away
Stat
SEA
Home
50
FG %
41
Season series
MIN leads series 1-0
SEA68@MIN88MIN@SEAupcomingMIN@SEAtodayScouting report
MIN @ SEA
Tale of the tape
13-4
Record
3-14
#1
Conf rank
#8
+11.9
Pt diff
-7.5
L1
Streak
L10
8-2
Last 10
0-10
59.1
Sched ahead
72.7
Composite signals from ESPN standings + 21-day power rolling. NBA pace / ORtg / DRtg from ESPN core team-stats; NFL yards-per-game from nflverse aggregation. Park factors, weather, KenPom-class metrics still on the roadmap.
Drill down
Sub-model tables · ensemble breakdown · last meeting · book shop · player props
Drill down
Sub-model tables · ensemble breakdown · last meeting · book shop · player props
Model ensemble · how the prediction is built
3 sub-models, blended.
Each sub-model uses a different rating substrate. Bayesian model averaging weights them by rolling Brier score so the ensemble inherits each model's strengths. Disagreement flags games where the sub-models don't see eye-to-eye — lower confidence, wider band.
46.4%
ensemble · MIN favored
Elo Static
fallback · inputs missing
50.0%
P(SEA win)
33%
weight
Elo Recent
fallback · inputs missing
50.0%
P(SEA win)
32%
weight
Pace Efficiency
fallback · inputs missing
50.0%
P(SEA win)
35%
weight
Disagreement
0.00 pp
weighted σ across sub-models
Confidence
100% · high
maps from disagreement
Substrate count
0 / 3 active
ones with full inputs tonight
Weights recalibrated nightly on a 90-day rolling window with strict point-in-time correctness — no model gets credit for a game it hasn't seen. Headline % is Platt-scaled per league; sub-model rows show raw BMA inputs.
Player projections
SEA vs MIN.
Per-player stat projections built from a recency-weighted blend of the last ten games, season average, and matchup context. Confidence reflects sample size and stability — the top of each list is who to watch.
110
projections · 20 high confidence
Points
- Olivia MilesMIN19.4± 7.6high
- Natasha HowardMIN16.7± 6.3medium
- Courtney WilliamsMIN15.9± 5.8high
Rebounds
- Natasha HowardMIN6.9± 2.5medium
- Dominique MalongaSEA6.8± 4.0low
- Nia CoffeyMIN6.1± 1.6high
Assists
- Olivia MilesMIN5.4± 2.3high
- Natisha HiedemanSEA4.3± 2.0medium
- Courtney WilliamsMIN4.0± 1.6high
Blocks
- Nia CoffeyMIN1.6± 1.3high
- Dominique MalongaSEA1.1± 1.6low
- Liatu KingMIN0.8± 1.6low
Steals
- Natasha HowardMIN2.2± 2.0medium
- Kayla McBrideMIN1.5± 1.2medium
- Nia CoffeyMIN1.3± 1.7high
Projections recompute every 30 minutes · prop lines plug in once sportsbook ingest lands
Matchup · 2026
Team rate stats vs league
wehoop
MIN
league avg
SEA
50.4%
FG%
44.6
40.8%
40.0%
3PT %
33.5
33.1%
92.3
PPG
85.9
76.9
21.8
Assists / G
18.0
17.9
14.1
Turnovers / G
13.0
▶13.8