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Sports OPEN

Western Carolina at Mercer: Spread

📊 $7K traded 🏦 Source: Kalshi
Total Volume
$7K
Open Interest
7,068
Active Markets
22
Markets
22

Trade This Market

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Yes Ask
Last Price
Prev Close
Buy YES → Buy NO

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

All Outcomes (22)
Outcome Probability Yes Bid Yes Ask 24h Change Volume
Mercer wins by over 1.5 Points 50%
50¢ 51¢ $6K Trade →
Western Carolina wins by over 4.5 Points 35%
30¢ 34¢ $695 Trade →
Western Carolina wins by over 2.5 Points 42%
38¢ 41¢ $438 Trade →
Mercer wins by over 7.5 Points 31%
27¢ 28¢ $310 Trade →
Mercer wins by over 10.5 Points 20%
17¢ 23¢ $121 Trade →
Mercer wins by over 13.5 Points 13%
10¢ 14¢ $92 Trade →
Mercer wins by over 2.5 Points 46%
46¢ 48¢ $1 Trade →
Western Carolina wins by over 17.5 Points 0%
$0 Trade →
Western Carolina wins by over 7.5 Points 0%
20¢ 25¢ $0 Trade →
Mercer wins by over 5.5 Points 0%
34¢ 37¢ $0 Trade →
Western Carolina wins by over 11.5 Points 0%
14¢ $0 Trade →
Western Carolina wins by over 14.5 Points 0%
$0 Trade →
Mercer wins by over 4.5 Points 0%
38¢ 39¢ $0 Trade →
Western Carolina wins by over 5.5 Points 0%
27¢ 31¢ $0 Trade →
Mercer wins by over 14.5 Points 0%
12¢ $0 Trade →
Mercer wins by over 8.5 Points 0%
23¢ 29¢ $0 Trade →
Mercer wins by over 11.5 Points 0%
15¢ 20¢ $0 Trade →
Western Carolina wins by over 10.5 Points 0%
14¢ 17¢ $0 Trade →
Western Carolina wins by over 8.5 Points 0%
17¢ 22¢ $0 Trade →
Western Carolina wins by over 13.5 Points 0%
10¢ $0 Trade →
Mercer wins by over 17.5 Points 0%
$0 Trade →
Western Carolina wins by over 1.5 Points 0%
42¢ 43¢ $0 Trade →

About This Market

This market lets traders take positions on whether Western Carolina or Mercer will cover the point spread in their matchup. It matters because spreads summarize expectations about margin of victory and provide a way to express views on game dynamics beyond simply who wins.

Western Carolina and Mercer are NCAA Division I programs whose meetings are influenced by roster turnover, coaching styles, and where the game is played. Head-to-head history, recent season form, and situational factors such as travel and scheduling often shape pregame lines. The specific sport, venue, and timing (home/away, indoor/outdoor) all change the way the matchup should be evaluated.

Market prices indicate how participants collectively rate the likelihood that one side will cover the posted spread; they should be read as a snapshot of market sentiment rather than a prediction of a single outcome.

Key Factors

Frequently Asked Questions

When will trading for the Western Carolina at Mercer: Spread market close?

The close time is listed as TBD; the platform will post a definitive cutoff (commonly at or shortly before game start) on the event page — monitor the market for updates.

How is the settled outcome determined in this spread market for this specific game?

Settlement is based on the official final score of the Western Carolina at Mercer game: the side that covers the posted spread (or a push if the margin equals the spread) determines which outcome wins, subject to the platform's official scoring and settlement rules.

How should I account for potential postponement or cancellation of this particular matchup?

If the game is postponed or canceled, the market will follow the platform's contingency procedures and announcements on the event page — this can include suspension, rescheduling of the market, or voiding and refunding positions depending on official league outcomes and platform policy.

Which team-specific factors should I investigate for this Western Carolina at Mercer spread?

Look at each team's projected starters and recent availability, matchup-specific strengths (e.g., Mercer's interior defense vs Western Carolina's leading scorer), recent game margins, and situational notes such as travel distance, rest days, or any roster disruptions announced before the game.

Do historical meetings between Western Carolina and Mercer matter for this spread, and how should I use them?

Head-to-head history can reveal stylistic advantages and coaching matchup patterns, but weigh past meetings against roster turnover, venue, and current-season performance — prioritize recent, comparable contests (same venue and similar rosters) when using history to inform your view.

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