TOTAL VOLUME:

$154.4b

24H VOL:

$290,393,159

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,944,100,805

420,493

Markets across

40,511

events

MATCHED EVENTS:

4,612

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Oregon vs. Ohio State
kalshi
predict
polymarket

What is the result of Oregon vs. Ohio State?

Total volume:
$30,681
Volume 24h:
$12,633
28%
Liquidity:
$174,339
33%
Open interest:
$27,213
77%

Ohio St.

all

3 markets

Kalshi

Predict

Polymarket

consensus

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolves Nov 7, 2026

Time left: 04d:21h:32m

Ohio St. wins

72%chance
Amount

$

Trade on
kalshi

Trade on Kalshi

Join Kalshi and score $25 for your first trade.At 72¢ buys you 139 shares | Odds: 72% Total Payout: $139 | Net Profit: $39 Multiplier: 1.39x | ROI: 39% APY not meaningful 4 days to resolution
You will be redirected to the platform to complete this trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Ohio St.

Trade
72%
Yes 72¢No 29¢
1¢
N/A
$3,997
71%
N/A
$3,158
4d 21h 32m
Active
predict

Oregon vs. Ohio State

Trade
29%
1%
Yes 30¢No 72¢
2¢
$315
$5
55%
N/A
N/A
4d 21h 32m
Active
polymarket

Oregon vs. Ohio State

Trade
28%
Yes 29¢No 72¢
1¢
$15,088
$543
5%
N/A
N/A
4d 18h 32m
Active
PredictionHero
PH Consensus
66.8%
Yes 43.7¢No 57.7¢
Avg: 1.3¢Max: 2¢
polymarket

Spread -5.5

Trade
59%
Yes 59¢No 42¢
1¢
$9,093
$27
0%
N/A
N/A
4d 18h 32m
Active
polymarket

Oregon O/U 20.5

Trade
47%
2%
Yes 49¢No 56¢
5¢
$3,973
$3
0%
N/A
N/A
4d 18h 32m
Active
polymarket

Spread -10.5

Trade
41%
Yes 44¢No 63¢
7¢
$2,703
$72
0%
N/A
N/A
4d 18h 32m
Active
kalshi

Oregon

Trade
30%
1%
Yes 30¢No 71¢
1¢
N/A
$26,035
71%
N/A
$24,056
4d 21h 32m
Active
polymarket

Spread -20.5

Trade
38%
51%
Yes 74¢No 99¢
73¢
$216
N/A
N/A
N/A
N/A
4d 18h 32m
Active
polymarket

Spread -17.5

Trade
24%
75%
Yes 47¢No 99¢
46¢
$225
N/A
N/A
N/A
N/A
4d 18h 32m
Active
polymarket

Spread -16.5

Trade
50%
70%
Yes 98¢No 99¢
97¢
$221
N/A
N/A
N/A
N/A
4d 18h 32m
Active
polymarket

Spread -14.5

Trade
49%
71%
Yes 97¢No 99¢
96¢
$222
N/A
N/A
N/A
N/A
4d 18h 32m
Active
polymarket

Spread -13.5

Trade
6%
6%
Yes 10¢No 98¢
8¢
$5,141
N/A
N/A
N/A
N/A
4d 18h 32m
Active
polymarket

Spread -10.5

Trade
9%
4%
Yes 14¢No 96¢
10¢
$3,661
N/A
N/A
N/A
N/A
4d 18h 32m
Active
polymarket

Spread -8.5

Trade
12%
88%
Yes 23¢No 99¢
22¢
$1,020
N/A
N/A
N/A
N/A
4d 18h 32m
Active
polymarket

Spread -7.5

Trade
14%
1%
Yes 17¢No 89¢
6¢
$4,520
N/A
N/A
N/A
N/A
4d 18h 32m
Active
polymarket

Spread -6.5

Trade
17%
3%
Yes 20¢No 87¢
7¢
$6,021
N/A
N/A
N/A
N/A
4d 18h 32m
Active
polymarket

Spread -5.5

Trade
22%
7%
Yes 28¢No 85¢
13¢
$3,216
N/A
N/A
N/A
N/A
4d 18h 32m
Active
polymarket

Spread -4.5

Trade
21%
Yes 24¢No 83¢
7¢
$3,321
N/A
N/A
N/A
N/A
4d 18h 32m
Active
polymarket

Spread -3.5

Trade
22%
1%
Yes 25¢No 82¢
7¢
$2,649
N/A
N/A
N/A
N/A
4d 18h 32m
Active
polymarket

Spread -2.5

Trade
26%
2%
Yes 30¢No 78¢
8¢
$2,929
N/A
N/A
N/A
N/A
4d 18h 32m
Active
polymarket

Spread -1.5

Trade
27%
2%
Yes 30¢No 77¢
7¢
$2,703
N/A
N/A
N/A
N/A
4d 18h 32m
Active
polymarket

Spread -0.5

Trade
30%
64%
Yes 51¢No 91¢
42¢
$381
N/A
N/A
N/A
N/A
4d 18h 32m
Active
polymarket

Spread -0.5

Trade
74%
27%
Yes 99¢No 51¢
50¢
$214
N/A
N/A
N/A
N/A
4d 18h 32m
Active
polymarket

Spread -1.5

Trade
70%
Yes 74¢No 35¢
9¢
$2,994
N/A
N/A
N/A
N/A
4d 18h 32m
Active
polymarket

Spread -2.5

Trade
67%
1%
Yes 71¢No 37¢
8¢
$2,268
N/A
N/A
N/A
N/A
4d 18h 32m
Active
Total markets: 25 of 209

Description

This group covers various markets related to the Oregon vs. Ohio State college football game, including the winner, point spreads, over/under totals, and various statistical occurrences during the game. Markets span across Polymarket, Kalshi, and Predict.

PredictionHero - Resolution Divergence Alerts (RDA)

Divergence Detected

Issue: Resolution sources and market granularity differ across platforms. Kalshi offers only a basic win/loss market, while Polymarket and Predict provide extensive options with detailed resolution criteria.Hero tip: Prioritize Polymarket and Predict for comprehensive coverage and clear resolution rules. Be cautious of Kalshi's limited scope.

Critical divergence points:

  • Polymarket: Resolves based on official game results from NCAA.com, with specific rules for ties (50-50 split) and cancellations (50-50 split). Offers a wide range of markets beyond the winner, including spreads, over/unders, and statistical occurrences.
  • Kalshi: Resolves based on which team wins the game. The resolution is simply which team won, with no detailed rules for ties or cancellations beyond the standard 50-50 split. Limited to a single win/loss market.
  • Predict: Resolves based on the official game result as reported by NCAA.com, mirroring Polymarket's core logic for the winner market. Includes the same tie/cancellation rules as Polymarket.
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 between Oregon and Ohio State, scheduled for November 7 at 3:30PM ET: This market will resolve to "Oregon" if Oregon win the game. This market will resolve to "Ohio State" if Ohio State win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50.

Kalshi

The event resolves based on the winner of the Oregon vs. Ohio State college football game scheduled for November 7, 2026. If Ohio State wins, the market for Ohio State resolves to Yes, and the market for Oregon resolves to No. Conversely, if Oregon wins, the market for Oregon resolves to Yes, and the market for Ohio State resolves to No. If the game is postponed but commences within 48 hours of its original scheduled start time, both markets remain open and resolve according to the final official result. Should the game be cancelled or fail to start within the 48-hour window, both markets will resolve to a fair price, ensuring equitable treatment for all participants. Kalshi explicitly states it is not affiliated with the NCAA, and all trademarks remain property of their respective owners.

Predict

In the upcoming college football game between Oregon and Ohio State, scheduled for November 7 at 3:30PM ET: This market will resolve to "Oregon" if Oregon win the game. This market will resolve to "Ohio State" if Ohio State win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50.

Frequently asked questions

On PredictionHero, this dashboard aggregates forecasts for the Oregon vs. Ohio State game from multiple prediction markets, including Polymarket and Kalshi. It displays a consensus view of the probabilities for various outcomes, reflecting the collective wisdom of traders across these platforms. Currently, the total volume traded across all markets is $30,681, with $11,455 changing hands in the last 24 hours. This allows users to see a comprehensive overview of expectations for the game, rather than relying on a single source. The dashboard provides a weighted average of the probabilities, giving insight into the overall market sentiment.

Prediction market odds often reflect a different kind of information than sportsbook odds. Sportsbooks set lines to balance action and incorporate a profit margin, while this market relies on the collective predictions of traders who are incentivized to be accurate. This can lead to discrepancies, particularly when there’s strong public sentiment or inside information not yet reflected in traditional betting markets. While both aim to predict the same outcome, the mechanisms and information sources differ, potentially offering unique insights into the likely result of the Oregon vs. Ohio State game.

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. Differences in pricing between Polymarket and Kalshi can arise due to several factors. Each platform attracts a different pool of traders with varying risk appetites and information sets. Polymarket currently favors Oregon wins at 100.0%, while Kalshi leans toward Ohio State wins at 72.0%. Trading fees, market maker strategies, and the specific rules governing each platform also contribute to price discrepancies. Furthermore, the liquidity available on each market can impact price discovery, with more liquid markets generally exhibiting tighter spreads and more accurate pricing.

This market resolves around Nov 7, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final result of the Oregon vs. Ohio State game, as reported by official sources, will determine the outcome of this market. We rely on publicly available and widely accepted data to ensure a transparent and accurate resolution process. Traders will be able to claim their winnings based on the verified result at that time.

Several factors could influence the probabilities in this market before Nov 7, 2026. Key player injuries, changes in coaching strategies, or significant shifts in public perception could all drive trading activity. Unexpected news regarding team morale or weather conditions impacting the game could also lead to price movements. Any information that alters the perceived likelihood of either team winning will likely be reflected in the market, as traders adjust their positions based on new data and analysis.