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$134.1b

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2,388,728,490

OPEN INTEREST:

$1,440,096,988

406,065

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2,692

PLATFORM COVERAGE:

5

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Toronto vs Seattle: First 5 Spread
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What is the first 5 inning spread result of Toronto vs Seattle?

Volume:
$13,644

Seattle -1.5 first 5 innings

 - Kalshi

Seattle -1.5 first 5 innings - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jul 4, 2026

Closed: Jul 4, 5:40 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
$6,332
N/A
N/A
$3,711
Settled
Yes
kalshi

Seattle -2.5 first 5 innings

100%
Yes 100¢No 0¢
100¢
N/A
$1,678
N/A
N/A
$1,305
Settled
Yes
kalshi

Toronto -1.5 first 5 innings

0%
Yes 0¢No 100¢
100¢
N/A
$3,378
N/A
N/A
$2,483
Settled
No
kalshi

Toronto -2.5 first 5 innings

0%
Yes 0¢No 100¢
100¢
N/A
$2,256
N/A
N/A
$2,144
Settled
No
Total markets: 4

Description

This baseball event tracks the run differential between Seattle and Toronto during the first 5 innings of their professional game on July 4, 2026. Bettors predict which team will be ahead by a specific margin after 5 innings.

Kalshi

Resolution is based on the run differential at the end of the first 5 innings of the Toronto vs Seattle professional baseball game originally scheduled for July 4, 2026 at 4:10 PM EDT. Seattle outcomes resolve to Yes when Seattle leads by more than the specified run margin (1.5 or 2.5 runs) after 5 innings. Toronto outcomes resolve to Yes when Toronto leads by more than the specified run margin (1.5 or 2.5 runs) after 5 innings. 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 dashboard for the Toronto vs Seattle first 5 spread tracks real-time odds and historical price movements for this market. You can monitor how traders are pricing the opening-quarter point spread between these two teams, view 24-hour volume activity, and observe shifts in market sentiment as game day approaches. The platform displays the current bid-ask spread, allowing you to see both sides of trader interest and identify liquidity at different price levels. This live data helps you understand how the prediction market is valuing the first-quarter matchup relative to sportsbook expectations.

Prediction market odds and sportsbook odds often diverge because they reflect different incentive structures. Sportsbooks set lines to balance action and manage risk, while prediction markets aggregate trader beliefs through continuous price discovery. On this market, the odds you see represent what thousands of traders collectively believe will happen in the first quarter, rather than a bookmaker's calculated margin. Prediction markets can sometimes offer sharper or earlier signals than traditional sportsbooks, especially when new information emerges. Comparing the two can reveal whether consensus leans bullish or bearish on one team's early performance.

On Kalshi, this market is priced through an order-book mechanism where traders submit bids and asks to buy or sell shares tied to the outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price you see reflects the last executed trade, and you can place limit or market orders to enter or exit your position. As new information surfaces—injury reports, lineup changes, or betting action—traders adjust their orders, causing the price to move. The continuous auction process ensures that the market price incorporates available information in real time, making it a dynamic reflection of trader conviction about the first-quarter spread.

This market resolves around Jul 4, 2026, once the first quarter of the Toronto vs Seattle game concludes and the final score is verifiable from credible public sources. The outcome is determined by comparing the actual first-quarter point differential to the spread specified in the market. Traders who correctly predicted whether the spread would be covered or not will see their positions settle accordingly. Until the game is played and official scoring is confirmed, this market remains open for trading.

Several catalysts can shift odds before the game tips off. Injury announcements—particularly to star players or key rotation pieces—often trigger sharp repricing, as they directly affect first-quarter performance. Lineup changes, rest status, or unexpected roster moves can also sway trader sentiment. Betting syndicate activity and sharp money flowing into sportsbooks may signal informed conviction, influencing prediction market prices. Team news, coaching adjustments, or travel delays can impact early-game execution. As game time approaches, final injury reports and last-minute lineup confirmations typically drive the most volatile price moves in this market.