Dallas Wings at Toronto Tempo
DAL
9-6
TOR
7-8
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
allas Wings visit Toronto Tempo Sunday at 7/5 - 3:00 PM EDT. DAL is 5-3 in their last 8. TOR has lost 3 straight (3-4 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
Season series
Series starts 7/5
DAL@TORtodayDAL@TORupcomingTOR@DALupcomingScouting report
DAL @ TOR
Model edge vs market
Lean onlyMarket
—
Model
DAL -23.8
Edge
—
Market
—
Model
On the roadmap
Edge
—
Market
—
Model
DAL
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
9-6
Record
7-8
#4
Conf rank
#4
+4.9
Pt diff
-2.5
L1
Streak
L3
6-4
Last 10
4-6
65.5
Power score
41.7
#6
Power rank
#9
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.
Team stats
DAL
Away
Stat
TOR
Home
46
FG %
44
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.
43.8%
ensemble · DAL favored
Elo Static
fallback · inputs missing
50.0%
P(TOR win)
33%
weight
Elo Recent
fallback · inputs missing
50.0%
P(TOR win)
31%
weight
Pace Efficiency
fallback · inputs missing
50.0%
P(TOR 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
TOR 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 BueckersDAL18.2± 8.8medium
- Brittney SykesTOR18.1± 10.6medium
- Marina MabreyTOR17.1± 8.5medium
Rebounds
- Jessica ShepardDAL11.8± 4.2medium
- Isabelle HarrisonTOR5.2± 2.9low
- Nyara SaballyTOR5.2± 2.2low
Assists
- Paige BueckersDAL6.1± 4.0medium
- Jessica ShepardDAL5.1± 3.5medium
- Sug SuttonDAL4.6± 3.0low
Blocks
- Awak KuierDAL1.1± 1.2low
- Azzi FuddDAL1.1± 1.3medium
- Nyara SaballyTOR1.1± 1.0low
Steals
- Isabelle HarrisonTOR1.8± 2.2low
- Azzi FuddDAL1.6± 1.6medium
- Julie AllemandTOR1.6± 1.3low
Projections recompute every 30 minutes · prop lines plug in once sportsbook ingest lands
Matchup · 2026
Team rate stats vs league
wehoop
DAL
league avg
TOR
45.8%
FG%
44.5
43.5%
34.1%
3PT %
33.3
33.6%
87.6
PPG
85.5
▶88.8
23.1
Assists / G
18.0
18.9
10.3
Turnovers / G
13.0
12.7