Chicago Sky at Seattle Storm
CHI
4-11
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
hicago Sky visit Seattle Storm Monday at 8/10 - 10:00 PM EDT.
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
CHI
Away
Stat
SEA
Home
43
FG %
41
Season series
Series starts 7/15
SEA@CHIupcomingCHI@SEAtodayCHI@SEAupcomingScouting report
CHI @ SEA
Tale of the tape
4-11
Record
3-14
#6
Conf rank
#8
-5.0
Pt diff
-7.5
L5
Streak
L10
1-9
Last 10
0-10
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.
43.1%
ensemble · CHI 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 CHI.
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.
115
projections · 0 high confidence
Points
- Rickea JacksonCHI16.0± 11.0low
- Skylar DigginsCHI15.8± 6.2medium
- Natisha HiedemanSEA15.6± 5.7medium
Rebounds
- Kamilla CardosoCHI7.5± 4.3medium
- Dominique MalongaSEA6.8± 4.0low
- Azura StevensCHI6.2± 5.3low
Assists
- Skylar DigginsCHI4.5± 3.2medium
- Natasha CloudCHI4.3± 3.0low
- Natisha HiedemanSEA4.3± 2.0medium
Blocks
- Kamilla CardosoCHI1.7± 2.2medium
- Elizabeth WilliamsCHI1.3± 1.1medium
- Rickea JacksonCHI1.2± 1.6low
Steals
- Jordan HorstonSEA1.3± 1.7medium
- Natisha HiedemanSEA1.2± 1.3medium
- Aicha CoulibalyCHI1.1± 1.2low
Projections recompute every 30 minutes · prop lines plug in once sportsbook ingest lands
Matchup · 2026
Team rate stats vs league
wehoop
CHI
league avg
SEA
42.6%
FG%
44.6
40.8%
31.4%
3PT %
33.5
▶33.1%
83.7
PPG
85.9
76.9
19.5
Assists / G
18.0
17.9
12.7
Turnovers / G
13.0
13.8