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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Kansas vs. Utah - Exact Margin
polymarket

Kansas vs. Utah - Exact Margin

Volume:
N/A

Exact Margin: Kansas by 1-6

 - Polymarket

Exact Margin: Kansas by 1-6 - Polymarket

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 11, 2026

Closed: Oct 11, 12:10 AM EST

polymarket

Polymarket

View
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
polymarket

Exact Margin: Kansas by 1-6

View
0%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
No
polymarket

Exact Margin: Kansas by 7-12

0%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
No
polymarket

Exact Margin: Kansas by 13-18

0%
99%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
No
polymarket

Exact Margin: Kansas by 19-24

0%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
No
polymarket

Exact Margin: Kansas by 25+

0%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
No
polymarket

Exact Margin: Tie

0%
99%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
No
polymarket

Exact Margin: Utah by 1-6

0%
99%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
No
polymarket

Exact Margin: Utah by 7-12

0%
99%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
No
polymarket

Exact Margin: Utah by 13-18

100%
Yes 100¢No 0¢
—
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

Exact Margin: Utah by 19-24

0%
99%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
No
polymarket

Exact Margin: Utah by 25+

0%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
No
Total markets: 11

Description

Exact margin markets for Kansas vs. Utah.

Polymarket

Exact margin markets for Kansas vs. Utah.

Frequently asked questions

Generally, prediction market odds often reflect a more accurate forecast than traditional sportsbook odds, as they aggregate the wisdom of the crowd and allow traders to hedge their positions. However, sportsbook odds can sometimes move more quickly in response to breaking news or significant betting action. It’s common to see discrepancies between the two, especially early in the market’s life cycle. Examining these differences can reveal insights into public perception versus informed prediction, and whether the market is leaning towards an outcome that differs from conventional wisdom.

On Polymarket, this market is priced through a continuous auction mechanism where traders buy and sell shares representing their belief in the final point differential. The price of each share directly corresponds to the implied probability of that specific margin occurring. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate, the price adjusts to reflect the collective assessment of the likely outcome. The market’s depth—indicated by the volume—shows how much conviction traders have in their predictions. Currently, the market is actively trading, and prices are fluctuating based on new information and trader activity.

This market resolves around Oct 11, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final point difference between Kansas and Utah will be used to determine the winning share(s). The resolution will be based on the official game results as reported by a trusted sports data source. Traders holding shares in the correct margin will be paid out according to the market’s payout structure at the time of resolution, while those holding shares in incorrect margins will forfeit their stake.

Several factors could significantly impact this market. Any news regarding key player injuries for either Kansas or Utah would likely cause a shift in the odds. Changes in coaching strategies or unexpected team performance in preceding games could also influence trader sentiment. Public perception, fueled by media coverage or expert analysis, can also play a role. Furthermore, large-volume trades by informed participants could signal a shift in expectations, causing the market to react accordingly. Monitoring these signals is crucial for understanding potential price movements.