TOTAL VOLUME:

$134.1b

24H VOL:

$141,541,542

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,440,096,988

406,065

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30,522

events

MATCHED EVENTS:

2,692

PLATFORM COVERAGE:

5

Polymarket:

39%

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Kalshi:

61%

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Toronto vs Seattle: First 5 Spread
kalshi

Will Toronto beat Seattle by the first 5 inning spread?

Volume:
$8,873

Seattle -1.5 first 5 innings

 - Kalshi

Seattle -1.5 first 5 innings - Kalshi

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Jul 5, 2026

Closed: Jul 5, 6:19 PM EST

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Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Seattle -1.5 first 5 innings

View
100%
Yes 100¢No 0¢
100¢
N/A
$3,067
N/A
N/A
$2,342
Settled
Yes
kalshi

Seattle -2.5 first 5 innings

100%
Yes 100¢No 0¢
100¢
N/A
$2,567
N/A
N/A
$1,715
Settled
Yes
kalshi

Toronto -1.5 first 5 innings

0%
Yes 0¢No 100¢
100¢
N/A
$1,796
N/A
N/A
$1,748
Settled
No
kalshi

Toronto -2.5 first 5 innings

0%
Yes 0¢No 100¢
100¢
N/A
$1,443
N/A
N/A
$1,443
Settled
No
Total markets: 4

Description

This baseball market focuses on the run differential between Toronto and Seattle during the first five innings of their July 5, 2026 game. Bettors predict which team will lead and by how many runs at the end of the fifth inning.

Kalshi

Resolution is determined by the score differential at the end of the first 5 innings of the professional baseball game originally scheduled for July 5, 2026 at 5:00 PM EDT. Each outcome specifies a team and a run margin threshold. Seattle outcomes resolve to Yes if Seattle leads by more than the specified margin after 5 innings, while Toronto outcomes resolve to Yes if Toronto leads by more than the specified margin after 5 innings. The score at the end of the fifth inning determines the outcome. If the game is postponed or delayed, the market remains open and closes after the rescheduled game finishes within two days.

Frequently asked questions

On Kalshi, the Toronto vs Seattle first 5 spread market dashboard tracks real-time odds and price movements for this prediction market. The interface displays current market pricing, historical price trends, and trading volume data that reflect how traders are positioning on the first-quarter spread outcome between these two teams. You can monitor shifts in trader sentiment and liquidity as the event approaches, giving you visibility into how the market is pricing this specific first-half matchup.

Prediction market odds and traditional sportsbook odds often diverge because they reflect different mechanisms. Sportsbooks set lines to balance action and manage risk, while prediction markets like this one are priced by traders wagering real capital on outcomes they believe will occur. Prediction markets can sometimes offer sharper pricing because traders have direct financial incentive to identify mispricings. Comparing this market's odds to major sportsbooks can reveal where consensus differs and highlight potential value opportunities.

On Kalshi, this market is priced through a continuous order-book mechanism where traders buy and sell shares representing each outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each share reflects the collective belief of market participants about the likelihood of that outcome occurring. As new information emerges or trading activity shifts, prices adjust in real time, allowing you to enter or exit positions at market rates that evolve throughout the trading window.

This market resolves around Jul 6, 2026, once the Toronto vs Seattle game concludes and the first-quarter spread outcome is verifiable. The result will be confirmed against credible public sports reporting and official league records. At that point, traders holding the correct outcome receive their payout, while positions on incorrect outcomes expire worthless. The exact resolution timing depends on when the game ends and final scoring is confirmed.

Several factors can shift this market significantly before it resolves. Injury announcements to key players on either roster, lineup changes, or coaching decisions can alter perceived first-quarter dynamics. Weather conditions, travel schedules, and recent team performance trends also influence trader positioning. Breaking news about player availability or team form in the days leading up to the game typically triggers repricing. Real-time game developments during the first quarter itself will drive final price movements as traders react to actual play.