Dallas Wings at Portland Fire
DAL
10-6
POR
8-9
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
allas Wings visit Portland Fire Wednesday at 7/22 - 10:00 PM EDT. DAL is 5-3 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
DAL
Away
Stat
POR
Home
46
FG %
45
Season series
POR leads series 1-0
DAL83@POR84DAL@PORtodayPOR@DALupcomingScouting report
DAL @ POR
Tale of the tape
10-6
Record
8-9
#3
Conf rank
#6
+4.6
Pt diff
-5.9
W1
Streak
W1
7-3
Last 10
4-6
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 · DAL favored
Elo Static
fallback · inputs missing
50.0%
P(POR win)
33%
weight
Elo Recent
fallback · inputs missing
50.0%
P(POR win)
32%
weight
Pace Efficiency
fallback · inputs missing
50.0%
P(POR 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
POR vs DAL.
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.
120
projections · 0 high confidence
Points
- Paige BueckersDAL18.0± 8.5medium
- Arike OgunbowaleDAL15.3± 10.7medium
- Jessica ShepardDAL14.8± 5.6medium
Rebounds
- Jessica ShepardDAL11.6± 4.5medium
- Emily EngstlerPOR5.2± 3.4medium
- Sarah Ashlee BarkerPOR4.4± 3.6medium
Assists
- Paige BueckersDAL6.4± 3.9medium
- Carla LeitePOR5.9± 3.6medium
- Jessica ShepardDAL5.2± 3.4medium
Blocks
- Emily EngstlerPOR1.9± 0.9medium
- Azzi FuddDAL1.3± 1.6medium
- Awak KuierDAL1.1± 1.1low
Steals
- Azzi FuddDAL1.6± 1.6medium
- Bridget CarletonPOR1.4± 1.2medium
- Emily EngstlerPOR1.3± 1.4medium
Projections recompute every 30 minutes · prop lines plug in once sportsbook ingest lands
Matchup · 2026
Team rate stats vs league
wehoop
DAL
league avg
POR
45.7%
FG%
44.6
44.6%
34.4%
3PT %
33.5
34.1%
87.9
PPG
85.9
82.2
22.7
Assists / G
18.0
19.8
10.5
Turnovers / G
13.0
14.8