TOTAL VOLUME:

$154.5b

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$271,200,656

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2,984,640,614

OPEN INTEREST:

$1,922,627,141

420,368

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MATCHED EVENTS:

4,484

PLATFORM COVERAGE:

5

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Toledo vs Ball St.: 1st Half Winner
kalshi

What is the result of Toledo vs Ball St.?

Volume:
$41,338

Toledo wins 1st Half

 - Kalshi

Toledo wins 1st Half - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 3, 2026

Closed: Oct 3, 3:48 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

Toledo wins 1st Half

View
100%
20%
Yes 100¢No 0¢
—
N/A
$20,095
N/A
N/A
$12,480
Settled
Yes
kalshi

Ball St. wins 1st Half

0%
16%
Yes 0¢No 100¢
—
N/A
$17,730
N/A
N/A
$10,190
Settled
No
kalshi

Tie 1st Half

0%
3%
Yes 0¢No 100¢
—
N/A
$3,513
N/A
N/A
$3,032
Settled
No
Total markets: 3

Description

This market tracks the outcome of the first half of a college football game between Toledo and Ball State. It focuses solely on which team leads at halftime, ignoring the final game result. The market accounts for potential game delays, ensuring resolution based on official results if the game starts within 48 hours of the scheduled time.

Kalshi

If Ball St. wins the 1st half of the Toledo vs Ball St. college football game originally scheduled for Oct 3, 2026, then the market resolves to Yes. If Toledo wins the 1st half of the Toledo vs Ball St. college football game originally scheduled for Oct 3, 2026, then the market resolves to Yes. If neither team wins the 1st half of the Toledo vs Ball St. college football game originally scheduled for Oct 3, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Toledo vs Ball State game tracks the current odds for each possible outcome in the first half, along with a price history chart showing how those odds have changed over time. You’ll also find the 24-hour trading volume, currently at $34,400, and the total overall volume for this market, which is $41,338. This provides a clear view of market sentiment and activity as traders buy and sell contracts predicting the first half winner.

Often, prediction market odds offer a different perspective than those found at traditional sportsbooks. Sportsbooks set lines to balance action and incorporate a profit margin, while this market reflects the collective wisdom of traders who are incentivized to be accurate. Discrepancies can arise due to differing information, biases, or simply the unique dynamics of each venue. It’s common to see prediction markets move faster to incorporate new information than sportsbooks, potentially offering an edge to informed traders.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing their belief about the probability of each outcome. The price of a contract reflects the market’s implied probability – a higher price means the market believes that outcome is more likely. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The current top outcome, as indicated by contract prices, is Tie in the 1st half, though this can change rapidly with new trading activity. Traders are constantly adjusting their positions based on new information and their own analysis.

This market resolves around Oct 3, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The winner of the first half of the Toledo vs Ball State game, as officially recorded by the governing sports organization, will determine the outcome. The platform will then verify the result against these sources to settle all outstanding contracts. Traders holding contracts on the winning outcome will receive a payout, while those holding contracts on losing outcomes will forfeit their stake.

Several factors could influence trading activity in this market. Any news regarding injuries to key players on either the Toledo or Ball State teams would likely cause significant movement. Changes in weather forecasts, particularly if they are expected to impact playing conditions, could also shift the odds. Additionally, late-breaking news about team strategies or coaching decisions could influence trader sentiment and lead to price fluctuations. Public perception, as reflected in polls or expert analysis, may also play a role.