TOTAL VOLUME:

$134b

24H VOL:

$107,351,958

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,416,970,024

400,720

Markets across

30,097

events

MATCHED EVENTS:

2,633

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Chicago C vs San Francisco: Spread
kalshi

Chicago C vs San Francisco: Spread

Volume:
$517,975

San Francisco wins by over 3.5 runs

 - Kalshi

San Francisco wins by over 3.5 runs - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 14, 2026

Closed: Jun 14, 5:54 PM EST

kalshi

Kalshi

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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 wins by over 3.5 runs

View
100%
Yes 100¢No 0¢
100¢
N/A
$215,551
N/A
N/A
$82,913
Settled
Yes
kalshi

San Francisco wins by over 1.5 runs

100%
Yes 100¢No 0¢
100¢
N/A
$82,513
N/A
N/A
$49,414
Settled
Yes
kalshi

San Francisco wins by over 2.5 runs

100%
Yes 100¢No 0¢
100¢
N/A
$80,823
N/A
N/A
$49,822
Settled
Yes
kalshi

Giants wins by over 4.5 runs

0%
Yes 0¢No 100¢
100¢
N/A
$72,895
N/A
N/A
$57,179
Settled
No
kalshi

Chicago C wins by over 1.5 runs

0%
Yes 0¢No 100¢
100¢
N/A
$35,548
N/A
N/A
$26,487
Settled
No
kalshi

Chicago C wins by over 3.5 runs

0%
Yes 0¢No 100¢
100¢
N/A
$11,909
N/A
N/A
$9,597
Settled
No
kalshi

Chicago C wins by over 2.5 runs

0%
Yes 0¢No 100¢
100¢
N/A
$9,536
N/A
N/A
$4,442
Settled
No
kalshi

Giants wins by over 5.5 runs

0%
Yes 0¢No 100¢
100¢
N/A
$9,198
N/A
N/A
$8,108
Settled
No
Total markets: 8

Description

This event predicts the margin of victory in the Chicago Cubs versus San Francisco Giants game on June 14, 2026. Bettors wager on whether one team will win by more than specific run margins.

Kalshi

Resolution is determined by the final run differential in the Chicago C vs San Francisco game originally scheduled for Jun 14, 2026 at 3:10 PM EDT. San Francisco outcomes resolve to Yes if the Giants win by more than the specified margin (3.5, 2.5, or 1.5 runs). Chicago C outcomes resolve to Yes if the Cubs win by more than the specified margin (1.5, 2.5, or 3.5 runs). The margin is calculated as the absolute difference between the winning team's runs and the losing team's runs. If the game ends in a tie, all spread outcomes resolve to No.

Frequently asked questions

The dashboard on Kalshi tracks real-time odds and historical price movement for the Chicago C vs San Francisco spread market. You can monitor how traders are pricing the expected point differential between these two teams, along with 24-hour trading volume and cumulative liquidity. The interface displays the current bid-ask spread, allowing you to see live market sentiment and identify entry or exit opportunities as game conditions shift.

Prediction market odds often diverge from traditional sportsbook lines because they reflect real-time trader positioning rather than fixed opening odds. While sportsbooks adjust lines to balance action and manage risk, this market aggregates the collective forecast of independent traders responding to breaking news, injury reports, and public analysis. Comparing the two can reveal where the crowd sees value or where consensus differs from professional oddsmakers.

On Kalshi, this market is priced through an order-book mechanism where traders submit bids and asks to buy or sell contracts tied to specific spread outcomes. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each contract reflects the probability traders assign to that outcome, with contracts ranging from 0 to 100 cents. As new information emerges—roster changes, weather, or momentum shifts—traders adjust their positions, moving the price in real time.

This market resolves around Jun 14, 2026, once the game concludes and the final spread is verifiable from credible public reporting. The outcome is determined by comparing the official final score to the spread threshold embedded in the contract. Winning positions are those that correctly predicted whether the actual point differential would fall on one side of that threshold.

Key catalysts include player injuries, roster announcements, and recent team performance trends. Weather conditions, home-field advantage shifts, and coaching changes can also reshape trader expectations. Media coverage of team momentum, playoff implications, and head-to-head matchup history will influence positioning. As game day approaches, live updates on player availability and pre-game analysis typically drive final price adjustments before kickoff.