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Toronto vs San Francisco: First 3 Innings
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What is the score after 3 innings in Toronto vs San Francisco?

Volume:
$5,680

Toronto wins first 3 innings

 - Kalshi

Toronto wins first 3 innings - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jul 8, 2026

Closed: Jul 8, 4:36 PM EST

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Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Toronto wins first 3 innings

View
100%
Yes 100¢No 0¢
100¢
N/A
$2,248
N/A
N/A
$1,763
Settled
Yes
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Tie

0%
Yes 0¢No 100¢
100¢
N/A
$2,766
N/A
N/A
$2,536
Settled
No
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San Francisco wins first 3 innings

0%
Yes 0¢No 100¢
100¢
N/A
$666
N/A
N/A
$624
Settled
No
Total markets: 3

Description

This baseball game between Toronto and San Francisco on July 8, 2026 will be analyzed for the score after exactly three innings of play. Bettors predict which team will be ahead or whether the score will be tied at that early point.

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Resolution is based on the score at the end of the first three innings of the professional baseball game scheduled for July 8, 2026 at 3:45 PM EDT. Toronto outcomes resolve to Yes if Toronto leads after three innings; San Francisco outcomes resolve to Yes if San Francisco leads after three innings. If the score is tied after three innings, the Tie outcome resolves to Yes and all team outcomes resolve to No. If the game is postponed or delayed, the market remains open and closes after the rescheduled game finishes within two days.

Frequently asked questions

The Toronto vs San Francisco first 3 innings market dashboard on Kalshi tracks real-time odds and price movements for outcomes tied to the early portion of this matchup. You can monitor current implied probabilities, 24-hour trading volume of $5,631, and historical price charts that reflect how traders have repriced their expectations as new information emerges. The dashboard displays all available outcomes for this market, allowing you to compare relative odds and identify which scenarios traders currently favor heading into the game.

Prediction market odds and sportsbook odds often diverge because they serve different purposes and attract different participant bases. Sportsbooks set odds to balance their book and manage risk, while prediction markets reflect the collective belief of traders who have real money at stake on outcomes. This market aggregates the views of many independent traders rather than a single oddsmaker, which can lead to sharper pricing on niche events like first-inning performance. Comparing the two can reveal where consensus differs and highlight potential value.

On Kalshi, this market is priced through an order-book mechanism where traders buy and sell contracts tied to specific outcomes. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Prices fluctuate based on supply and demand, with each contract representing a claim on a particular result. As new developments occur—injuries, weather updates, or lineup changes—traders adjust their positions, moving the odds in real time. The platform displays both bid and ask prices, giving you transparency into the exact cost of entering or exiting a position at any moment.

This market resolves around Jul 8, 2026, once the first three innings of the game are complete and the result is verifiable from credible public sources. The outcome will be determined by the actual events that unfold during that window—runs scored, plays made, and any other metrics specified by the market's outcome definitions. Resolution typically occurs shortly after the game concludes and the official result is confirmed, at which point winning positions are credited and the market closes.

Several factors could shift odds before this market resolves. Lineup announcements, starting pitcher confirmations, and injury updates can significantly alter expectations for early-game performance. Weather conditions, field dimensions, and recent team form all influence how traders assess the likelihood of different outcomes. Breaking news about player availability or last-minute roster changes often triggers sharp repricing. Additionally, as game time approaches and more information becomes public, traders may adjust positions based on refined forecasts, creating opportunities for those monitoring the market closely.