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Penn at Illinois: Spread

📊 $0 traded 🏦 Source: Kalshi
Total Volume
$0
Open Interest
0
Active Markets
12
Markets
12

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Yes Ask
Last Price
Prev Close
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Prices in cents (1¢ = 1%). Trade on Kalshi.

All Outcomes (12)
Outcome Probability Yes Bid Yes Ask 24h Change Volume
Illinois wins by over 10.5 Points 0%
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Illinois wins by over 22.5 Points 0%
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Illinois wins by over 28.5 Points 0%
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Illinois wins by over 19.5 Points 0%
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Illinois wins by over 25.5 Points 0%
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Illinois wins by over 7.5 Points 0%
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Illinois wins by over 16.5 Points 0%
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Illinois wins by over 13.5 Points 0%
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Illinois wins by over 40.5 Points 0%
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Illinois wins by over 34.5 Points 0%
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Illinois wins by over 31.5 Points 0%
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Illinois wins by over 37.5 Points 0%
$0 Trade →

About This Market

This market asks which side will cover the point spread in the Penn at Illinois game; it matters because spread markets aggregate trader views about the likely margin of victory and react to game-day developments.

Penn (an Ivy League program) and Illinois (a Big Ten program) come from conferences with different roster depth, recruiting profiles, and schedules, which often shapes expectations when they meet. Historical meetings between these programs are limited and context-dependent, so bettors and traders typically weigh current-season form, injuries, and matchup characteristics more heavily than decades-old results.

Market prices here reflect the collective view of how large the final margin will be and which side will cover the listed spread; they update as new information (injuries, lineups, weather, betting flow) becomes available.

Key Factors

Frequently Asked Questions

What exactly do the 11 outcomes in 'Penn at Illinois: Spread' represent?

They represent discrete spread-result buckets covering which team covers by various margins (for example, one outcome covers Illinois winning by a particular range, another covers Penn covering or winning by a range). Each outcome corresponds to a specific margin interval used to settle the market.

When will this market close relative to the scheduled game time?

Closure is tied to the game start; the market will typically close at or shortly before the scheduled kickoff/start time. This event currently shows a 'Closes: TBD' timestamp, so check the platform event page for the finalized close time as the game date approaches.

Which in-game or pregame developments would most quickly move prices in this market?

Most impactful are announcements affecting availability of primary contributors (starters scratched, injury reports), late lineup changes, confirmed weather or field conditions if the game is outdoors, and large trades that change market liquidity; all of these update traders’ expectations of the likely margin.

How much should historical head-to-head results between Penn and Illinois influence my view of the spread?

Head-to-head history can provide color but is often a weak predictor because rosters, coaching staffs, and competitive contexts change year-to-year; prioritize current-season metrics (offensive/defensive efficiency, recent results, injuries) and conference strength while using past meetings only as supplementary context.

What happens to spread outcomes if the game is postponed, canceled, or not completed?

Settlement depends on the platform’s event rules: markets may be suspended until a rescheduled start, settled based on final official results if the game is completed, or voided/refunded if the contest is canceled or fails to meet completion criteria. Check the Kalshi event and rule page for the specific settlement policy that will apply to this market.

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