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Atlanta Dream at Toronto Tempo

ATL
ATL

ATL

10-4

PregameFri, 7:30 PM EDT
TOR
TOR

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.

WNBAFri, Jul 177/17 - 7:30 PM EDTSeriesATL leads series 1-0

Preview · WNBA

tlanta Dream visit Toronto Tempo Friday at 7/17 - 7:30 PM EDT. ATL is rolling — 6-2 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

Updated 0s ago

Team stats

ATL

Away

Stat

TOR

Home

43

FG %

44

Season series

ATL leads series 1-0

Jun 14ATLATL102@TORTOR77
Jun 22TORTOR@ATLATLupcoming
Jul 17ATLATL@TORTORtoday
Aug 11TORTOR@ATLATLupcoming

Scouting report

ATL @ TOR

7/17 - 7:30 PM EDT
StorylineTOR lost 3 in a row.

Model edge vs market

Lean only
Spread

Market

Model

ATL -36.8

Edge

Total

Market

Model

On the roadmap

Edge

Moneyline

Market

Model

ATL

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

ATLmetricTOR

10-4

Record

7-8

#2

Conf rank

#4

+6.5

Pt diff

-2.5

W2

Streak

L3

7-3

Last 10

4-6

78.5

Power score

41.7

#3

Power rank

#9

57.9

Sched ahead

61.0

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

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 · ATL 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 ATL.

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

  • Rhyne HowardATL
    18.1± 9.3medium
  • Brittney SykesTOR
    18.1± 10.6medium
  • Allisha GrayATL
    17.9± 5.6medium

Rebounds

  • Angel ReeseATL
    12.0± 4.0medium
  • Naz HillmonATL
    5.2± 2.3medium
  • Isabelle HarrisonTOR
    5.2± 2.9low

Assists

  • Jordin CanadaATL
    6.8± 3.5medium
  • Marina MabreyTOR
    4.0± 3.0medium
  • Julie AllemandTOR
    3.4± 2.2low

Blocks

  • Nyara SaballyTOR
    1.1± 1.0low
  • Rhyne HowardATL
    0.8± 1.2medium
  • Angel ReeseATL
    0.7± 0.8medium

Steals

  • Rhyne HowardATL
    2.9± 2.2medium
  • Jordin CanadaATL
    1.9± 1.8medium
  • Isabelle HarrisonTOR
    1.8± 2.2low

Projections recompute every 30 minutes · prop lines plug in once sportsbook ingest lands

Matchup · 2026

Team rate stats vs league

wehoop

ATL

ATL

league avg

TOR

TOR

44.3%

FG%

44.6

43.5%

33.4%

3PT %

33.4

33.6%

88.6

PPG

85.7

88.8

19.9

Assists / G

18.0

18.9

12.9

Turnovers / G

13.0

12.7

Data via ESPN · wehoop