Also on the MLB slate today, an MLB pick today, Thursday, June 11, 2026, is Justin Wrobleski Over 2.5 Earned Runs (LAD @ PIT, 6:41 PM ET). PropsBot’s AI rates the pick at 44.0% Confidence with a 4.6% Edge Score, meaning the modeled probability sits about five points above the implied probability the market is pricing in. Best available price: BetMGM +100.

Below is the full breakdown — Confidence Score, Edge Score, sportsbook odds comparison, and historical hit rate data — so you can make a data-backed decision before the 6:41 PM ET first pitch.

WindowOver Hit RateSportsbookLineOdds
L5 / L10 / L2040% / 20% / 20%BetMGM2.5 Earned Runs+100
Season27%BetMGM2.5 Earned Runs+100
H2H vs PIT0%BetMGM2.5 Earned Runs+100

Is Justin Wrobleski a good Over 2.5 Earned Runs bet vs the Pirates on June 11?

PropsBot AI player detail screen showing Justin Wrobleski Over 2.5 Earned Runs pick with 44.0% Confidence Score, 4.6% Edge Score, and sportsbook odds for LAD at PIT on June 11, 2026

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Why Justin Wrobleski Over 2.5 Earned Runs vs the Pirates?

PropsBot’s AI models assigned a 44.0% Confidence Score to Justin Wrobleski over 2.5 Earned Runs tonight. That threshold qualifies as Speculative in PropsBot’s framework. The pick carries a 4.6% Edge Score, with a -6.0% Confidence Gap between modeled and implied probability.

Justin Wrobleski carries shiny ratios — a 2.62 ERA, a 3.33 FIP, a 3.88 xERA — so an Over 2.5 Earned Runs lean is the contrarian side, and PropsBot grades it that way at just 44% Confidence. The bet isn’t that he’s bad; it’s that the matchup and a thin track record leave the door open for one rough inning.

Historical Performance at 2.5 Earned Runs

The trend is genuinely cold for the Over — it’s hit in only 2 of his last 10 and 27% on the season, which is why this sits in speculative territory rather than as a play to lean on. The case is forward-looking: a young arm with a 0-for-9 on the model’s ability checks, facing a lineup that’s been scoring in bunches.

Matchup Context: LAD @ PIT

Pittsburgh has been mashing — 8.54 runs per game in the sample with a 109 wRC+ — and that’s the whole bull case for the Over. Against a back-of-the-rotation profile, even a sharp arm can give back three. Justin Wrobleski’s underlying numbers say he limits it; the Pirates’ recent form on June 11, 2026 says don’t bank on it. The -6.0% Confidence Gap is honest about how close this is.

Best Line Available

BetMGM is the outlier at +100 — plus money on an earned-runs over you’d often pay a premium for. The 4.6% Edge Score is real even with the low Confidence, and at even money the math is forgiving. This is a small, speculative MLB dart, not a core play; size it like one.

How PropsBot Grades MLB Earned Runs Picks

Every PropsBot pick is graded the morning after the game by an automated result-tracker that pulls box-score data from MLB.com / NHL.com / NBA.com / NFL.com and marks the pick Hit, Miss, Push, or Voided (for player non-appearance). The graded outcome is appended to the post via a green/red callout block, and the per-pick history is published at Performance Methodology. Every entry includes the date, line, book, and graded outcome — nothing is retroactively edited.

How PropsBot Models MLB Earned Runs Props

Multiple AI models score the prop, then their consensus is summarized into a single Confidence Score and an Edge Score — full methodology at /performance-methodology/.

More MLB Player Props — June 11, 2026

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