TOTAL VOLUME:

$134b

24H VOL:

$103,397,351

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,410,176,180

399,592

Markets across

30,097

events

MATCHED EVENTS:

2,622

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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San Francisco vs Arizona: First 5 Spread
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What is the first 5 inning spread result of SF vs Arizona?

Volume:
$10,149

San Francisco -1.5 first 5 innings

 - Kalshi

San Francisco -1.5 first 5 innings - Kalshi

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Jul 2, 2026

Closed: Jul 1, 11:04 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

San Francisco -1.5 first 5 innings

View
100%
Yes 100¢No 0¢
100¢
N/A
$1,523
N/A
N/A
$974
Settled
Yes
kalshi

San Francisco -2.5 first 5 innings

100%
Yes 100¢No 0¢
100¢
N/A
$843
N/A
N/A
$739
Settled
Yes
kalshi

Arizona -1.5 first 5 innings

0%
Yes 0¢No 100¢
100¢
N/A
$6,205
N/A
N/A
$3,867
Settled
No
kalshi

Arizona -2.5 first 5 innings

0%
Yes 0¢No 100¢
100¢
N/A
$1,577
N/A
N/A
$1,473
Settled
No
Total markets: 4

Description

This event measures the run differential between San Francisco Giants and Arizona Diamondbacks during the first five innings of their July 1, 2026 game. Bettors predict whether one team will win by specific run margins during this early portion of play.

Kalshi

The San Francisco Giants versus Arizona Diamondbacks game scheduled for July 1, 2026 at 9:40 PM EDT will be evaluated based on the run differential at the end of the fifth inning. Resolution depends on whether Arizona wins by more than 2.5 or 1.5 runs, or whether San Francisco wins by more than 1.5 or 2.5 runs during the first five innings. If the game is postponed or delayed, the market remains open and resolves after the rescheduled game concludes within two days.

Frequently asked questions

On Kalshi, the dashboard for the SF vs Arizona first 5 spread market displays real-time odds and price movements as traders buy and sell shares tied to the opening quarter point spread between these two teams. The interface shows current market probability, historical price charts, and trading volume to help you monitor sentiment shifts. You can track how the spread odds evolve as game day approaches, with live updates reflecting new information, injury reports, or lineup changes that influence early-game expectations.

Prediction market odds and traditional sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set lines to balance action and manage risk, while prediction markets like this one aggregate trader beliefs through continuous price discovery. This market may offer sharper or earlier adjustments to breaking news than some sportsbooks, since traders profit directly from accurate forecasts. Comparing the two can reveal where professional bettors and casual traders see value differently.

On Kalshi, this market is priced through an order-book mechanism where traders submit bids and asks for shares representing each side of the first 5 spread 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 matched trade, and you can place limit or market orders to enter or exit your position. Prices move continuously as new information arrives and traders reassess their forecasts, creating a dynamic equilibrium that incorporates collective expectations about the opening quarter.

This market resolves around Jul 2, 2026, once the first quarter of the game concludes and the final spread for that period is verified against credible public sources. The outcome hinges on whether San Francisco or Arizona covers the opening quarter point spread as established at kickoff. Resolution occurs after official scoring is confirmed, ensuring accuracy before payouts are distributed to winning traders.

Key catalysts include injury announcements, starting lineup confirmations, and weather updates that affect early-game strategy or player performance. Betting line movements at major sportsbooks often precede prediction market shifts, as do expert predictions and team news. Momentum from recent games, rest advantages, and coaching adjustments can also influence trader positioning. As game time nears, final injury reports and any last-minute roster changes typically trigger sharp repricing in this market.