Seattle Storm at Atlanta Dream
SEA
3-13
ATL
10-4
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
eattle Storm visit Atlanta Dream Thursday at 7/9 - 8:00 PM EDT. ATL is rolling — 6-2 in their last 8.
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
SEA
Away
Stat
ATL
Home
41
FG %
43
Season series
Series starts 6/27
ATL@SEAupcomingSEA@ATLtodaySEA@ATLupcomingScouting report
SEA @ ATL
Tale of the tape
3-13
Record
10-4
#8
Conf rank
#2
-6.6
Pt diff
+6.5
L9
Streak
W2
1-9
Last 10
7-3
80.0
Sched ahead
54.8
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.
43.9%
ensemble · SEA favored
Elo Static
fallback · inputs missing
50.0%
P(ATL win)
33%
weight
Elo Recent
fallback · inputs missing
50.0%
P(ATL win)
31%
weight
Pace Efficiency
fallback · inputs missing
50.0%
P(ATL 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
ATL vs SEA.
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 · 0 high confidence
Points
- Rhyne HowardATL18.1± 9.3medium
- Allisha GrayATL17.9± 5.6medium
- Natisha HiedemanSEA15.7± 6.3medium
Rebounds
- Angel ReeseATL12.0± 4.0medium
- Dominique MalongaSEA7.1± 3.7low
- Naz HillmonATL5.2± 2.3medium
Assists
- Jordin CanadaATL6.8± 3.5medium
- Natisha HiedemanSEA4.4± 2.0medium
- Jade MelbourneSEA3.5± 2.8medium
Blocks
- Dominique MalongaSEA1.1± 1.6low
- Rhyne HowardATL0.8± 1.2medium
- Jordan HorstonSEA0.8± 1.5medium
Steals
- Rhyne HowardATL2.9± 2.2medium
- Jordin CanadaATL1.9± 1.8medium
- Allisha GrayATL1.5± 1.2medium
Projections recompute every 30 minutes · prop lines plug in once sportsbook ingest lands
Matchup · 2026
Team rate stats vs league
wehoop
SEA
league avg
ATL
41.1%
FG%
44.5
▶43.5%
33.4%
3PT %
33.3
32.9%
77.2
PPG
85.5
▶87.1
18.0
Assists / G
18.0
▶19.8
14.1
Turnovers / G
13.0
▶12.9