Washington Mystics at Los Angeles Sparks
WSH
8-7
LA
8-8
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
ashington Mystics visit Los Angeles Sparks Friday at 8/28 - 10:00 PM EDT. WSH arrives on a 3-game win streak (4-3 in their last 7). LA is 4-3 in their last 7.
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
WSH
Away
Stat
LA
Home
45
FG %
46
Season series
LA leads series 1-0
LA92@WSH87LA@WSHupcomingWSH@LAtodayScouting report
WSH @ LA
Model edge vs market
Lean onlyMarket
—
Model
LA -5.3
Edge
—
Market
—
Model
On the roadmap
Edge
—
Market
—
Model
LA
Edge
—
Model spread derived from 21-day power-rank delta · not a true point-spread model. Total + ML model wires roadmap. Bet responsibly · 21+
Tale of the tape
8-7
Record
8-8
#4
Conf rank
#5
-3.2
Pt diff
-2.9
W3
Streak
W1
6-4
Last 10
5-5
46.7
Power score
52.0
#9
Power rank
#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.
49.4%
ensemble · WSH favored
Elo Static
fallback · inputs missing
50.0%
P(LA win)
33%
weight
Elo Recent
fallback · inputs missing
50.0%
P(LA win)
32%
weight
Pace Efficiency
fallback · inputs missing
50.0%
P(LA 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
LA vs WSH.
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.
125
projections · 0 high confidence
Points
- Kelsey PlumLA23.3± 15.0low
- Sonia CitronWSH16.6± 6.2medium
- Nneka OgwumikeLA15.9± 6.5medium
Rebounds
- Nneka OgwumikeLA9.3± 4.8medium
- Shakira AustinWSH8.1± 3.7low
- Dearica HambyLA7.8± 2.5medium
Assists
- Kelsey PlumLA6.6± 3.5low
- Erica WheelerLA4.5± 2.5medium
- Sonia CitronWSH4.0± 2.7medium
Blocks
- Cameron BrinkLA1.5± 0.8medium
- Shakira AustinWSH1.2± 1.2low
- Rae BurrellLA0.9± 1.4medium
Steals
- Ariel AtkinsLA1.7± 1.6medium
- Dearica HambyLA1.4± 1.6medium
- Sonia CitronWSH1.4± 1.6medium
Projections recompute every 30 minutes · prop lines plug in once sportsbook ingest lands
Matchup · 2026
Team rate stats vs league
wehoop
WSH
league avg
LA
45.1%
FG%
44.6
▶46.7%
30.7%
3PT %
33.3
▶31.5%
81.6
PPG
85.9
▶89.1
18.6
Assists / G
18.0
▶20.9
15.9
Turnovers / G
13.0
▶14.3