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Norfolk State vs. Old Dominion
kalshi
polymarket

What is the result of Norfolk State vs. Old Dominion?

Volume:
$2,395,658

Old Dominion

 - Kalshi

Old Dominion - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 7, 2026

Closed: Sep 5, 9:05 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

Old Dominion

View
100%
Yes 100¢No 0¢
100¢
N/A
$36,272
N/A
N/A
$32,862
Settled
Yes
polymarket

Spread -20.5

View
100%
9%
Yes 100¢No 0¢
0.1¢
N/A
$3,260
N/A
N/A
N/A
Settled
Yes
polymarket

O/U 35.5

View
100%
9%
Yes 100¢No 0¢
0.1¢
N/A
$3,082
N/A
N/A
N/A
Settled
Yes
polymarket

Norfolk State O/U 6.5

View
100%
Yes 100¢No 0¢
1¢
N/A
$49
N/A
N/A
N/A
Settled
Yes
kalshi

Norfolk St.

View
0%
Yes 0¢No 100¢
100¢
N/A
$2,338,250
N/A
N/A
$2,170,977
Settled
No
polymarket

Norfolk State vs. Old Dominion

View
0%
1%
Yes 0¢No 100¢
—
N/A
$1,308
N/A
N/A
N/A
Settled
Yes
polymarket

O/U 52.5

View
0%
50%
Yes 0¢No 100¢
—
N/A
$5,386
N/A
N/A
N/A
Settled
Yes
polymarket

O/U 54.5

View
0%
45%
Yes 0¢No 100¢
—
N/A
$4,069
N/A
N/A
N/A
Settled
Yes
polymarket

O/U 44.5

View
0%
74%
Yes 0¢No 100¢
—
N/A
$1,338
N/A
N/A
N/A
Settled
Yes
polymarket

O/U 50.5

View
0%
56%
Yes 0¢No 100¢
—
N/A
$851
N/A
N/A
N/A
Settled
Yes
polymarket

Spread -27.5

View
0%
83%
Yes 0¢No 100¢
—
N/A
$485
N/A
N/A
N/A
Settled
Yes
polymarket

Spread -21.5

View
0%
91%
Yes 0¢No 100¢
—
N/A
$385
N/A
N/A
N/A
Settled
Yes
polymarket

O/U 56.5

View
0%
40%
Yes 0¢No 100¢
—
N/A
$342
N/A
N/A
N/A
Settled
Yes
polymarket

Spread: Old Dominion (-41.5)

View
0%
47%
Yes 0¢No 100¢
—
N/A
$297
N/A
N/A
N/A
Settled
Yes
polymarket

O/U 55.5

View
0%
41%
Yes 0¢No 100¢
—
N/A
$259
N/A
N/A
N/A
Settled
Yes
polymarket

Spread -24.5

View
0%
7%
Yes 0¢No 100¢
—
N/A
$25
N/A
N/A
N/A
Settled
Yes
polymarket

Spread -40.5

View
0%
49%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

Spread -0.5

View
100%
1%
Yes 100¢No 0¢
1¢
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

Spread -1.5

View
100%
1%
Yes 100¢No 0¢
18¢
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

Spread -2.5

View
100%
1%
Yes 100¢No 0¢
1¢
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

Spread -3.5

View
100%
1%
Yes 100¢No 0¢
18¢
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

Spread -4.5

View
100%
1%
Yes 100¢No 0¢
18¢
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

Spread -5.5

View
100%
1%
Yes 100¢No 0¢
18¢
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

Spread -6.5

View
100%
1%
Yes 100¢No 0¢
1¢
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

Spread -7.5

View
100%
1%
Yes 100¢No 0¢
1¢
N/A
N/A
N/A
N/A
N/A
Settled
Yes
Total markets: 25 of 107

Intro

This market tracks the probability of Norfolk State scoring over 0.5 rushing touchdowns in their upcoming college football game against Old Dominion. Currently, the consensus probability of Norfolk State exceeding that total is 100.0%. This aggregate view combines data from Kalshi and Polymarket, with resolution determined by data reported on https://www.ncaa.com/. This event group covers various outcomes related to the September 5, 2026 game, so monitor the final team statistics released following the game to see how this market resolves.

PredictionHero - Resolution Divergence Alerts (RDA)

Divergence Detected

Issue: Settlement Value Mismatch / SKU RiskHero tip: Be cautious with Kalshi as it resolves to a binary outcome regardless of margin, while Polymarket requires specific team designations and has distinct markets for spread and totals. Consider hedging positions across platforms based on these differences.

Critical divergence points:

  • Kalshi: Resolves to Yes if either team wins the game: "If Old Dominion wins... then the market resolves to Yes. If Norfolk St. wins... then the market resolves to Yes."
  • Polymarket: Resolves to specific team names for win conditions, with separate markets for spread and over/under totals: "If Norfolk State wins, the market will resolve to 'Norfolk State'. If Old Dominion wins, this market will resolve to 'Old Dominion'." Also includes spread and total markets with different resolution criteria.
Our PredictionHero Resolution Divergence Alerts (RDA) are there to help users identify potential differences across platforms. They do not replace or supersede the official rules and description of any prediction market. Users are solely responsible for reviewing and understanding the applicable rules and resolution criteria before placing any trade or bet. If you notice a potential inconsistency, discrepancy, or error in an alert, please report it to our team so we can review and improve the accuracy of our data.

Polymarket

In the upcoming college football game, scheduled for September 5 at 6:00PM ET: If Norfolk State wins, the market will resolve to "Norfolk State". If Old Dominion wins, the market will resolve to "Old Dominion". If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely or ends in a tie, with no make-up game, this market will resolve 50-50.

Kalshi

The market resolves to Yes if the designated team wins the college football game originally scheduled for September 5, 2026. If the game is postponed but starts within 48 hours of the original schedule, the market remains active and resolves based on the final outcome. In the event the game is cancelled or does not begin within 48 hours of the scheduled start, the market resolves to a fair price. Kalshi is not associated with the NCAA, and all trademarks are owned by their respective parties.

Frequently asked questions

The dashboard for the Norfolk State vs. Old Dominion matchup market aggregates real-time data from multiple venues, showing how traders across Polymarket and Kalshi price the contest. It displays current probabilities, volume of $2,395,658, and 24-hour volume of $2,189,216, letting you see consensus and divergence in expectations for this market.

On Polymarket and Kalshi, prices can vary due to differences in user bases, liquidity, and market design. Polymarket and Kalshi can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. For instance, one platform might have deeper coverage of college basketball, skewing its odds faster in response to new coaching changes or player updates. Such distinctions often produce temporary mispricings between the two venues.