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A's vs Toronto: Home Runs

📊 $0 traded 🏦 Source: Kalshi
Total Volume
$0
Open Interest
0
Active Markets
36
Markets
36

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All Outcomes (36)
Outcome Probability Yes Bid Yes Ask 24h Change Volume
Addison Barger: 1+ 0%
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Addison Barger: 2+ 0%
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Brent Rooker: 1+ 0%
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Brent Rooker: 2+ 0%
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Daulton Varsho: 1+ 0%
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Daulton Varsho: 2+ 0%
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Ernie Clement: 1+ 0%
$0 Trade →
Ernie Clement: 2+ 0%
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George Springer: 1+ 0%
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George Springer: 2+ 0%
$0 Trade →
Jacob Wilson: 1+ 0%
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Jacob Wilson: 2+ 0%
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Nick Kurtz: 1+ 0%
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Nick Kurtz: 2+ 0%
$0 Trade →
Nick Kurtz: 3+ 0%
$0 Trade →
Shea Langeliers: 1+ 0%
$0 Trade →
Shea Langeliers: 2+ 0%
$0 Trade →
Vladimir Guerrero Jr.: 1+ 0%
$0 Trade →
Vladimir Guerrero Jr.: 2+ 0%
$0 Trade →
Alejandro Kirk: 1+ 0%
$0 Trade →
Alejandro Kirk: 2+ 0%
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Andrés Giménez: 1+ 0%
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Denzel Clarke: 1+ 0%
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Denzel Clarke: 2+ 0%
$0 Trade →
Jeff McNeil: 1+ 0%
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Jeff McNeil: 2+ 0%
$0 Trade →
Kazuma Okamoto: 1+ 0%
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Kazuma Okamoto: 2+ 0%
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Lawrence Butler: 1+ 0%
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Lawrence Butler: 2+ 0%
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Max Muncy: 1+ 0%
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Max Muncy: 2+ 0%
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Tyler Soderstrom: 1+ 0%
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Tyler Soderstrom: 2+ 0%
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Nathan Lukes: 1+ 0%
$0 Trade →
Nathan Lukes: 2+ 0%
$0 Trade →

About This Market

This market resolves on the total number of home runs hit in the A's vs Toronto game; it lets traders express views on the power outcome of a single matchup. Outcomes matter to bettors and traders because home-run totals are highly sensitive to matchup, weather, and lineup decisions.

Toronto and Oakland have different offensive profiles and ballpark characteristics that influence home-run rates: Toronto often features several power hitters while Oakland's approach and roster construction can vary year to year. Game-specific details — starting pitchers, lineups, weather, and ballpark conditions — typically matter more for a single-game home-run market than multi-game seasonal averages.

Market odds reflect how participants collectively price each discrete home-run outcome; they move as new information arrives (lineups, weather, scratches, pitching changes). Use the market as a real-time read on sentiment while remembering that single-game home-run totals are high-variance outcomes.

Key Factors

Frequently Asked Questions

What do the 19 outcomes represent in this A's vs Toronto: Home Runs market?

The 19 outcomes partition the possible total home-run results for the game into discrete bins or exact counts; the market page lists each labeled outcome so you can see whether they represent exact totals (0,1,2,...) or grouped ranges.

When does this market close relative to the scheduled game?

The listing shows the close time as TBD; on many single-game markets the market closes shortly before first pitch or at a specified cutoff announced on the platform, so check the market page for the official closing rule and any updates.

Which in-game announcements would most likely move this market before it closes?

Confirmed starting pitchers, official lineup cards, late scratches/injuries to power hitters, and weather updates (especially wind reports) are the most common information catalysts for price movement.

How should I use historical team or player home-run rates when evaluating this specific event?

Use historical rates as context for team and player power profiles, but prioritize immediate, game-specific inputs (starting pitcher matchups, announced lineups, ballpark/weather) because single-game outcomes are dominated by matchup and situational factors.

Does trading volume or number of active outcomes affect how I should read this market?

Low volume can mean wider spreads and more sensitivity to individual trades, while many discrete outcomes (19 in this market) mean liquidity may be spread thin across options; consider liquidity and potential slippage when placing trades.

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