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Vanderbilt at Arkansas: Spread

📊 $0 traded 🏦 Source: Kalshi
Total Volume
$0
Open Interest
0
Active Markets
11
Markets
11

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Prices in cents (1¢ = 1%). Trade on Kalshi.

All Outcomes (11)
Outcome Probability Yes Bid Yes Ask 24h Change Volume
Vanderbilt wins by over 17.5 Points 0%
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Vanderbilt wins by over 14.5 Points 0%
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Arkansas wins by over 1.5 Points 0%
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Arkansas wins by over 13.5 Points 0%
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Vanderbilt wins by over 2.5 Points 0%
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Vanderbilt wins by over 5.5 Points 0%
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Arkansas wins by over 4.5 Points 0%
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Vanderbilt wins by over 8.5 Points 0%
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Vanderbilt wins by over 11.5 Points 0%
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Arkansas wins by over 10.5 Points 0%
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Arkansas wins by over 7.5 Points 0%
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About This Market

This market lets participants trade on which point-spread outcome will occur for the Vanderbilt at Arkansas game; it matters because the spread summarizes market expectations about the margin of victory and is used by bettors and analysts to assess risk and value.

Vanderbilt and Arkansas are SEC programs with differing recent trajectories, roster turnover, and styles of play; those program-level differences shape pregame expectations. The listing on KALSHI shows multiple discrete spread outcomes (11 total) and a closing time that is currently TBD, so market prices may change as game-day information arrives.

In this context, market odds reflect consensus beliefs about which spread bucket is most likely given available information; price movement typically incorporates new data such as injuries, weather, or betting flow rather than being a fixed prediction.

Key Factors

Frequently Asked Questions

What exactly do the 11 outcomes represent in the 'Vanderbilt at Arkansas: Spread' market?

Each outcome corresponds to a specific point-spread range or margin bucket for the final game margin; the market settles to the outcome whose range contains the final official margin of victory as defined by the platform.

When will this market close and stop accepting trades?

The market’s close time is listed as TBD; typically the platform will close the market at or before game kickoff and may update the listing with a firm close time as the game approaches, so check the KALSHI interface for the live schedule.

How should I account for last-minute injuries or lineup changes when evaluating outcomes here?

Late injuries and roster news can materially change expected margins; monitor official injury reports and team announcements, as such information tends to move market prices toward the spread outcomes that reflect the new expected performance levels.

Does playing at Arkansas materially change which spread outcomes are more likely?

Home-field advantage is a meaningful factor—crowd, travel fatigue, and familiarity with the venue can all influence the expected margin—so outcomes favoring Arkansas by a larger margin become relatively more plausible in a meaningful home advantage scenario.

How much should historical Vanderbilt–Arkansas results influence my view of this market?

Head-to-head history is one input but can be misleading if rosters, coaching staffs, or seasons differ; prioritize recent form, matchup-relevant statistics (e.g., run/pass defense vs. opponent tendencies), and current-season health over distant historical results.

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