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MLB

New York Yankees logoNYY@TORToronto Blue Jays logo

New York New York Yankees at Toronto Toronto Blue Jays · 7:37 PM ET
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Predicted winner
NYY
Predicted final score
NYY 4.8 - TOR 3.3
Sportsbook line
-103
Implied probability
48%
from market price
Model probability
48%
our estimate
Value gap
0 pts
market in line
Confidence
Final recommendation
Pass0.25u
Model pick · NYY -1.5 (+170)

Home no-vig implied moved from 50.0% to 52.0% (toward home).

"Biggest risk: sharp agreement signal is against this side (-0.03). Variance and late line moves can flip a 52% read."

Clutch Puppy Expert Summary

Main prediction

This is a tight, low-margin spot where the model prefers New York by a sliver — recommended pick NYY -1.5 (+160) — because the model gives the side a 49.5% win probability versus the market implied 49.3%, a small value edge of 0.3%. The projected score (NYY 4.8 - TOR 3.3) and a 52% strength score reflect a modest quantitative edge rather than a blowout prediction. This matters because edges under 1% require disciplined sizing and line shopping to realize EV.

Best bet
NYY -1.5 (+160)
Projected final
NYY 4.8 - TOR 3.3
Odds & line movement

The market opened -110/-110 and is now -115/-108. The home no-vig implied moved from 50.0% to 50.7% (toward home), so the market has nudged slightly toward Toronto since open. That movement compressed the away price a bit and trimmed the small model edge — note the model's edge was 0.3% against that backdrop.

Key matchups & handicap
Yankees Offensive Profile vs Toronto

The Yankees enter with Avg 5.1 scored · 3.6 allowed (season), and the model projects them for 4.8 runs. That higher scoring baseline (NYY Avg 5.1 scored) is the core reason the model leans to the Yankees on the spread.

Blue Jays Run Environment

Toronto's season numbers are Avg 4.1 scored · 4.3 allowed (season) and a 33-36 record; the model trims their expected output to 3.3 runs in this spot, reflecting the gap between their offense and New York's pitching assumptions.

Historical Small Edges

Historical comps show small differential signals: '[away] Runs-allowed gap -0.77' with record '-0.04' and '[away] Net rating gap -1.80' with record '-0.05', indicating the historical baseline favors a very slight away advantage but only at tiny magnitudes.

Top supporting factors
  • Yankees record 41-26 (last 10 snapshot shows stronger recent form than opponent).
  • Blue Jays record 33-36 with season averages Avg 4.1 scored · 4.3 allowed.
  • Yankees season averages Avg 5.1 scored · 3.6 allowed justify the model's 4.8 expected runs.
  • Model value gap (edge) is 0.3% with a Strength score of 52%.
Betting trends
  • Yankees record 41-26 (season snapshot).
  • Blue Jays record 33-36 (season snapshot).
  • Yankees Avg 5.1 scored · 3.6 allowed (season).
  • Blue Jays Avg 4.1 scored · 4.3 allowed (season).
  • Hot/cold status: TOR 48% season win rate (neutral), NYY 61% season win rate (hot).
  • Line movement: home no-vig implied moved from 50.0% to 50.7% (toward home).
  • Model value gap (edge) 0.3% with Strength score 52%.
NYY injuries & notes

No major injury notes detailed for this matchup.

TOR injuries & notes

No major injury notes detailed for this matchup.

Team & game total picks

Best bet - NYY -1.5 (+160) at sportsbook line -108: the model projects NYY 4.8 to TOR 3.3 and shows a 0.3% edge vs market, so the spread play has modest positive EV.

Total - No official total provided in the inputs, so no total pick is recommended.

Counterargument

The most realistic way this pick loses is the statistical edge leaning the other way — statistical_edge signal is -0.061 with contribution -0.027 — indicating the raw stats favor the opponent when that signal holds.

Injury concern

No reported injury impact.

Predicted score

Given NYY Avg 5.1 scored · 3.6 allowed (season) and TOR Avg 4.1 scored · 4.3 allowed (season), the model's 4.8-3.3 line tracks directly with those recent scoring profiles.

What this confidence rating means

The Strength score of 52% reflects a narrow value gap between model probability (49.5%) and market implied probability (49.3%), i.e., a 0.3% edge — meaningful only with disciplined sizing and line shopping.

Final score prediction

This shapes up as a Yankees-controlled game where New York's stronger scoring baseline (NYY Avg 5.1 scored) produces a slim multi-run edge; Toronto's profile (Avg 4.1 scored · 4.3 allowed) keeps it close but a one- to two-run Yankees margin is most likely — Final Score: NYY 4.8 - TOR 3.3.

Final recommendation

Bottom line: take NYY -1.5 (+160) (sportsbook line -108) as the recommended play; the model shows a small 0.3% edge versus the market so bet sizing should reflect that modest advantage.

How to bet this game

Shop the price and keep sizing conservative given the 0.3% edge — if you can get better than the supplied sportsbook line -108 on NYY -1.5 (+160) that increases EV. Consider correlated small-unit plays (e.g., Yankees team total if available) but avoid bloating units; if the market moves further toward the home side (home no-vig implied >50.7%) re-evaluate, and always compare juice across books before committing.

Top supporting factors

  • statistical edge (-0.029) - supports pick
  • situational edge (0.000) - supports pick
  • sharp agreement (+0.032) - against pick
  • market value (0.000) - supports pick

Counterargument

Biggest risk: sharp agreement signal is against this side (-0.03). Variance and late line moves can flip a 52% read.

Injury impact

No reported impact.

Team status

  • TOR · neutral
    48% season win rate
  • NYY · hot
    61% season win rate

Recent form (last 10)

  • TOR
    Avg 4.1 scored · 4.3 allowed (season)
    33-36
  • NYY
    Avg 5.1 scored · 3.6 allowed (season)
    41-26

Historical trends

  • [away] Runs-allowed gap -0.77
    Historical comp
    -0.04
  • [away] Net rating gap -1.80
    Historical comp
    -0.05
  • [away] Offensive PPG gap -1.03
    Historical comp
    -0.06
  • [home] Home-field baseline
    Historical comp
    +0.01

Line movement

Model vs market

Modelvs
Marketvs

Last updated 4d ago (6/12/2026, 11:30:38 PM)

Strength percentages reflect model-estimated value vs market - not a guarantee of outcome. A 100% rating means the model sees roughly double the value of a toss-up. For research and entertainment.