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Sports OPEN

UNC Wilmington at Elon

📊 $159 traded 🏦 Source: Kalshi
Total Volume
$159
Open Interest
159
Active Markets
2
Markets
2

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

All Outcomes (2)
Outcome Probability Yes Bid Yes Ask 24h Change Volume
Elon 86%
86¢ 87¢ $111 Trade →
UNC Wilmington 12%
10¢ 12¢ $48 Trade →

About This Market

This market asks which team will win the college basketball game between UNC Wilmington and Elon. It matters to bettors and fans because market prices aggregate publicly available information about team strength, injuries, and matchup dynamics.

UNC Wilmington and Elon are NCAA Division I programs that often play competitively within their conference schedule; outcomes reflect differences in roster continuity, coaching, and travel. Historical results, recent form, and roster changes entering the game provide useful context for how this specific matchup might unfold.

Market odds represent the collective judgment of traders about the likely winner at the time you view the market and can change as new information arrives. Use odds movements alongside team news and box scores to update your assessment as the event approaches and during pregame reporting.

Key Factors

Frequently Asked Questions

When will this market resolve and what determines the winning outcome for UNC Wilmington at Elon?

Resolution depends on the game’s official final result as reported by the event organizer and the market operator’s stated rules; the winning outcome is the team officially recorded as the game winner in the final box score.

How should I account for last-minute injury or lineup changes for UNC Wilmington or Elon?

Monitor official team reports, credible beat reporters, and pregame injury lists; traders typically update positions quickly after confirmed news, so expect market prices to adjust as availability information becomes public.

Does playing at Elon materially affect the expected outcome for this matchup?

Home-court can influence factors like crowd energy, travel fatigue for the visitor, familiarity with the arena, and officiating context; assess how each team historically performs at home and on the road when weighing that effect.

What historical trends between UNC Wilmington and Elon are most relevant to this market?

Recent head-to-head results, margin of victory, matchup-specific statistics (e.g., how each defends opponent strengths), and whether personnel from past meetings remain on the rosters are the most relevant historical indicators.

Which in-game developments are most likely to push this market’s prices during the day of the game?

Confirmed starting lineup announcements, injury updates, late scratches, major travel or weather disruptions affecting arrival, and high-profile betting flows or large trades can all cause noticeable price movement on game day.

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