TOTAL VOLUME:

$154.8b

24H VOL:

$277,138,640

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,905,404,943

412,077

Markets across

39,838

events

MATCHED EVENTS:

4,526

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

BETA
Dashboards
Insights
Indices
API
Tour
All
Trending
Breaking
New
Ending Soon
Politics
Sports
Elections
Crypto
Companies
Financials
Economics
Other
Entertainment
Science and Technology
Bahia vs Sao Paulo: First Half Spread
kalshi

Bahia vs Sao Paulo: First Half Spread

Volume:
$796

Bahia wins the 1H by more than 1.5 goals

 - Kalshi

Bahia wins the 1H by more than 1.5 goals - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 28, 2026

Closed: Oct 28, 9:26 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

Bahia wins the 1H by more than 1.5 goals

View
0%
Yes 0¢No 100¢
—
N/A
$645
N/A
N/A
$328
Settled
No
kalshi

Sao Paulo wins the 1H by more than 1.5 goals

View
0%
Yes 0¢No 100¢
—
N/A
$151
N/A
N/A
$151
Settled
No
Total markets: 2

Description

This market focuses on predicting which team will dominate the first half of an upcoming soccer match by winning by a margin of more than 1.5 goals. It specifically tracks the performance of the teams within the initial 45 minutes of play, ignoring any events from the second half. The outcome depends solely on the goal difference in favor of either team during this period.

Kalshi

The event determines whether either Bahia or Sao Paulo secures a decisive first-half victory in their scheduled Brasileiro Serie A match on October 28, 2026, by winning by more than a 1.5 goal margin. Both primary rules assess first-half performance exclusively, with only goals scored before halftime contributing to the result. If the match is canceled or rescheduled beyond 48 hours of the original date, the market resolves to a fair price. No second-half events or outcomes influence the resolution, and the evaluation strictly adheres to the first-half score differential.