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$103,397,351

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2,388,728,490

OPEN INTEREST:

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399,592

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30,097

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2,622

PLATFORM COVERAGE:

5

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Kalshi:

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Oklahoma vs Alabama: Spread
kalshi

Oklahoma vs Alabama: Spread

Volume:
$16,286

Oklahoma wins by over 1.5 runs

 - Kalshi

Oklahoma wins by over 1.5 runs - Kalshi

1W

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Positive

Negative

Neutral

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Vol.

·

Resolved Jun 13, 2026

Closed: Jun 13, 5:54 PM EST

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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

Oklahoma wins by over 1.5 runs

View
100%
Yes 100¢No 0¢
100¢
N/A
$13,438
N/A
N/A
$8,518
Settled
Yes
kalshi

Alabama wins by over 3.5 runs

0%
Yes 0¢No 100¢
100¢
N/A
$1,896
N/A
N/A
$1,896
Settled
No
kalshi

Alabama wins by over 1.5 runs

0%
Yes 0¢No 100¢
100¢
N/A
$952
N/A
N/A
$673
Settled
No
Total markets: 3

Description

This market focuses on the run differential between Oklahoma and Alabama in their June 13, 2026 college baseball game. Bettors wager on whether one team will win by a margin exceeding specific run amounts.

Kalshi

The Oklahoma vs Alabama college baseball game scheduled for June 13, 2026 at 3:00 PM EDT will be evaluated based on the final run differential between the two teams. Resolution is determined by comparing the margin of victory to three distinct thresholds. Bettors can take positions on whether Alabama wins by more than 3.5 runs, Alabama wins by more than 1.5 runs, or Oklahoma wins by more than 1.5 runs. Each threshold and team combination represents a separate market outcome. The game's official final score determines the winner and margin of victory. Resolution to Yes occurs if the actual run differential matches or exceeds the specified threshold in the direction indicated by the outcome.

Frequently asked questions

On Kalshi, the Oklahoma vs Alabama spread market dashboard tracks real-time odds and price movements for this matchup's point spread. The interface displays current market sentiment, historical price data, and trading volume to help you monitor how traders are positioning themselves on the spread. You can view how the line has shifted over time and identify key support and resistance levels. This dashboard gives you a transparent view of where the market stands as game day approaches, allowing you to compare current pricing against your own analysis of the teams' relative strength.

Prediction market odds and traditional sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set lines to balance action and lock in profit margins, while prediction markets aggregate the beliefs of traders risking real capital on outcomes. This market may price the spread differently than major sportsbooks, offering opportunities for sharp bettors who spot discrepancies. Comparing this market's odds to consensus sportsbook lines can reveal where traders see value that bookmakers have missed or mispriced.

On Kalshi, this market is priced through a continuous order-book mechanism where traders buy and sell contracts reflecting their belief in the spread outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each contract moves based on supply and demand, with buyers and sellers negotiating in real time. Higher prices indicate stronger market conviction toward one side of the spread, while lower prices suggest less confidence. This dynamic pricing model ensures the market reflects current trader sentiment and adjusts instantly as new information or bets arrive.

This market resolves around Jun 13, 2026, once the Oklahoma vs Alabama game concludes and the final spread is verified against credible public sources. The outcome is determined by the official final score and the point differential between the two teams. Once the game result is confirmed and publicly reported, the market will settle based on whether the actual spread matches the predicted spread. Resolution is automatic once the event is complete and the data is verified.

Key catalysts that could shift this market include injury announcements to star players, coaching changes, or significant roster updates for either team. Weather forecasts closer to game day may influence trading if conditions favor one team's style of play. Unexpected losses or wins by either team in the weeks leading up to the game could alter perceptions of their strength. Public betting trends, sharp money movements, and analyst commentary can also trigger repricing. Any off-field developments affecting team morale or preparation could prompt traders to reassess their positions on the spread.