TOTAL VOLUME:

$134.2b

24H VOL:

$130,522,377

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,438,389,636

404,028

Markets across

30,214

events

MATCHED EVENTS:

2,681

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

BETA
Dashboards
Tour
All
Sports
Toronto vs San Francisco: First 5 Spread
kalshi

What is the first 5 inning spread result of Toronto vs San Francisco?

Volume:
$12,711

San Francisco -1.5 first 5 innings

 - Kalshi

San Francisco -1.5 first 5 innings - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jul 7, 2026

Closed: Jul 6, 10:59 PM EST

kalshi

Kalshi

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

San Francisco -1.5 first 5 innings

View
100%
Yes 100¢No 0¢
100¢
N/A
$8,435
N/A
N/A
$6,340
Settled
Yes
kalshi

San Francisco -2.5 first 5 innings

100%
Yes 100¢No 0¢
100¢
N/A
$1,722
N/A
N/A
$1,453
Settled
Yes
kalshi

Toronto -2.5 first 5 innings

0%
Yes 0¢No 100¢
100¢
N/A
$1,502
N/A
N/A
$1,183
Settled
No
kalshi

Toronto -1.5 first 5 innings

0%
Yes 0¢No 100¢
100¢
N/A
$1,052
N/A
N/A
$1,001
Settled
No
Total markets: 4

Description

This baseball event allows bettors to predict the run differential between Toronto and San Francisco specifically during the first five innings of their July 6, 2026 game, with outcomes for each team winning by various margins.

Kalshi

Resolution depends on the run differential between the teams at the end of the fifth inning in the Toronto vs San Francisco professional baseball game originally scheduled for July 6, 2026 at 9:45 PM EDT. San Francisco outcomes resolve to Yes if San Francisco leads by more than the specified run margin after five innings, while Toronto outcomes resolve to Yes if Toronto leads by more than the specified run margin after five 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-San Francisco first 5 spread tracks real-time odds and historical price movements as traders buy and sell contracts tied to the opening quarter spread between these two teams. You can monitor current market sentiment, 24-hour volume activity, and how the odds have shifted since the market opened. This live data reflects collective trader expectations about whether Toronto will cover the first-quarter spread against San Francisco, updated continuously until market close.

Prediction market odds and sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set lines to balance action and lock in profit margins, while prediction markets like this one are driven by traders risking real capital on their beliefs. Prediction markets frequently incorporate breaking news and sharp trader insight faster than traditional sportsbooks adjust their lines, making them a useful barometer of informed consensus on outcomes like first-quarter spreads.

On Kalshi, this market is priced through an order-book mechanism where traders submit bids and asks for contracts representing each outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of a contract reflects the probability traders assign to that outcome; a contract trading at 65 cents implies roughly 65% implied probability. As new information emerges or trader conviction shifts, bids and asks adjust, and the market price moves to reflect the updated consensus on the first-quarter spread.

This market resolves around Jul 7, 2026, once the first quarter of the Toronto-San Francisco game concludes and the final spread is verified against credible public sources. The outcome is determined by comparing the actual point differential in the first five minutes of play to the spread set at market inception. Traders holding contracts on the correct outcome are paid out in full, while incorrect positions expire worthless.

Key catalysts include injury announcements to star players, lineup changes, or late-breaking team news that affects early-game strategy. Weather conditions, travel delays, or last-minute coaching adjustments can also shift trader expectations about opening-quarter momentum. Sharp bettors and professional traders often react quickly to these developments, causing rapid repricing. Game-day conditions and early scoring patterns in the first few minutes will ultimately determine the outcome, but pre-game signals tend to drive the most significant price movements before tipoff.