TOTAL VOLUME:

$154.3b

24H VOL:

$228,458,490

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,879,276,037

410,833

Markets across

40,345

events

MATCHED EVENTS:

4,363

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Michigan vs Rutgers: 1st Quarter Winner
kalshi

What is the result of Michigan vs Rutgers?

Volume:
$17,437

Michigan

 - Kalshi

Michigan - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 31, 2026

Closed: Oct 31, 1:16 PM EST

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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

Michigan

View
100%
Yes 100¢No 0¢
—
N/A
$7,931
N/A
N/A
$7,641
Settled
Yes
kalshi

Rutgers

0%
Yes 0¢No 100¢
—
N/A
$7,469
N/A
N/A
$6,480
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$2,037
N/A
N/A
$1,873
Settled
No
Total markets: 3

Description

This market tracks which team will lead after the first quarter of a college football game between Michigan and Rutgers. It focuses solely on the scoring dynamics of the opening quarter, ignoring the rest of the game’s outcome. The result depends on which team scores more points in that specific segment of play.

Kalshi

If Rutgers wins the 1st quarter of the Michigan vs Rutgers college football game originally scheduled for Oct 31, 2026, then the market resolves to Yes. If Michigan wins the 1st quarter of the Michigan vs Rutgers college football game originally scheduled for Oct 31, 2026, then the market resolves to Yes. If neither team wins the 1st quarter of the Michigan vs Rutgers college football game originally scheduled for Oct 31, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Michigan vs Rutgers game tracks the current odds for each possible outcome in the first quarter, along with a price history chart showing how those odds have changed over time. You can also see the 24-hour trading volume, which currently stands at $17,312, and the total volume traded to date, which is $17,437. This provides a real-time view of where traders are placing their bets and how the perceived probability of each outcome is evolving. The dashboard is a key tool for understanding market sentiment surrounding this contest.

Generally, prediction market odds tend to reflect a more accurate forecast of events than traditional sportsbook odds, as they aggregate the wisdom of many individuals rather than relying on a few experts. However, there can be discrepancies. Sportsbooks may incorporate factors like public betting percentages and promotional offers that don’t necessarily influence the probabilities reflected in this market. It’s common to see initial differences, but as the event approaches, the odds on Kalshi often converge with those of major sportsbooks, though this isn't always the case.

On Kalshi, this market is priced through a continuous order book, where traders buy and sell contracts representing each possible outcome. The price of a contract reflects the market's implied probability of that outcome occurring. As more people buy contracts for a particular outcome, its price increases, and the implied probability rises. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market depth and trading activity determine how quickly prices adjust to new information. Essentially, traders are acting as both market makers and informed speculators, collectively establishing the odds.

This market resolves around Oct 31, 2026, with the outcome confirmed once the winner of the first quarter of the Michigan vs Rutgers game is verifiable from credible public reporting. The official result, as determined by the governing body of college football, will be used to determine the winning contract. The resolution process is designed to be transparent and based on publicly available information, ensuring a fair and accurate outcome for all participants in this market.

Several factors could significantly impact this market. Any news regarding key player injuries or suspensions for either Michigan or Rutgers would likely cause shifts in the odds. Unexpected weather conditions, such as heavy rain or strong winds, could also influence the perceived probabilities. Furthermore, significant changes in public perception, perhaps driven by pre-game analysis or expert predictions, could lead to increased trading volume and price adjustments. Finally, any late-breaking news related to team morale or coaching decisions could move this market before Oct 31, 2026.