TOTAL VOLUME:

$146.7b

24H VOL:

$162,970,420

24H TRANSACTIONS:

2,781,800,361

OPEN INTEREST:

$1,740,912,349

501,518

Markets across

37,286

events

MATCHED EVENTS:

2,933

PLATFORM COVERAGE:

5

Polymarket:

38%

VS.

Kalshi:

62%

BETA
Dashboards
Tour
All
Sports
Ball St. vs Northwestern
kalshi

What is the result of Ball St. vs Northwestern?

Volume:
$1,927,423

Northwestern

 - Kalshi

Northwestern - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 10, 2026

Closed: Oct 10, 3:55 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

Northwestern

View
100%
1%
Yes 100¢No 0¢
—
N/A
$242,974
N/A
N/A
$230,930
Settled
Yes
kalshi

Ball St.

0%
2%
Yes 0¢No 100¢
—
N/A
$1,684,449
N/A
N/A
$1,652,418
Settled
No
Total markets: 2

Intro

This market tracks whether Northwestern will win its college football game against Ball State. Currently, Kalshi gives Northwestern a 98.0% probability of winning, while Ball State is at 2.0%. The market resolves based on the outcome of the Ball St. vs Northwestern game, as reported by the official result including any adjustments for postponements or cancellations. Keep an eye on the game itself, scheduled for October 10, 2026, as the final score will determine the market’s resolution.

Kalshi

The market resolves to Yes if either Ball St. or Northwestern wins their college football game scheduled for October 10, 2026. If the game is postponed but begins within 48 hours of the originally scheduled start time, the market will remain open and resolve based on the official final result. If the game is cancelled or not started within 48 hours of its originally scheduled start, the market will resolve to a fair price. Kalshi disclaims any affiliation with the NCAA, and all trademarks, logos, and brand names are the property of their respective owners.

Frequently asked questions

On Kalshi, the dashboard for the Ball St. vs Northwestern game tracks the current odds, price history, and 24-hour trading volume. Currently, the volume is $1,654,050 with a total volume of $1,927,423. You can see how the market is valuing different outcomes and observe changes in sentiment over time. The dashboard provides a visual representation of trader activity and allows you to analyze the market's movement leading up to the event. This information is updated in real-time, offering a dynamic view of predictions surrounding the game.

Generally, prediction market odds often reflect a 'wisdom of the crowd' perspective, potentially differing from sportsbook odds which may be influenced by factors like house bias or initial public perception. Sportsbooks set lines to balance action, while this market's pricing is purely driven by traders expressing their beliefs about the likelihood of each outcome. Discrepancies can arise due to differing information sources or analytical approaches. It’s common to see prediction markets move independently of sportsbook lines, especially as new information emerges or public sentiment shifts regarding the Ball St. vs Northwestern game.

This market resolves around Oct 10, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official result of the Ball St. vs Northwestern game, as determined by official sources. The platform will verify the result against these sources to determine the winning outcome and settle the market accordingly. Traders who correctly predicted the outcome will receive a payout based on the final market prices at resolution. This ensures a transparent and objective determination of the market's outcome.

Several signals could significantly impact this market. Any news regarding injuries to key players on either the Ball St. or Northwestern teams would likely cause price fluctuations. Changes in weather forecasts, particularly if severe weather is expected during the game, could also influence trading activity. Unexpected announcements about coaching strategies or team dynamics might also move the market. Furthermore, significant shifts in public sentiment, as reflected in media coverage or social media discussions, could affect trader behavior and alter the probabilities assigned to different outcomes.