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Emilio Nava vs Ignacio Buse: Game Spread
kalshi

What will be the game spread between Emilio Nava and Ignacio Buse?

Volume:
$3,118

Ignacio Buse -2.5 games

 - Kalshi

Ignacio Buse -2.5 games - Kalshi

1W

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Positive

Negative

Neutral

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Vol.

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Resolved Jun 29, 2026

Closed: Jun 29, 9:06 AM 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

Ignacio Buse -2.5 games

View
100%
Yes 100¢No 0¢
100¢
N/A
$2,669
N/A
N/A
$1,943
Settled
Yes
kalshi

Ignacio Buse -5.5 games

100%
Yes 100¢No 0¢
100¢
N/A
$297
N/A
N/A
$292
Settled
Yes
kalshi

Emilio Nava -1.5 games

0%
Yes 0¢No 100¢
100¢
N/A
$152
N/A
N/A
$152
Settled
No
Total markets: 3

Description

This market measures the game differential between Emilio Nava and Ignacio Buse throughout their first-round match at the 2026 Wimbledon Men's Singles tournament. Bettors predict whether one player will win by a specified game margin, reflecting the competitive balance of the match.

Kalshi

Resolution is based on the game differential across the full Emilio Nava vs Ignacio Buse match at the 2026 Wimbledon Men Singles Round Of 128, calculated as the difference in total games won by each player. If the match does not occur before play begins due to injury, walkover, forfeiture, or cancellation, the market resolves to fair price. If postponed or delayed, the market remains open until the rescheduled match concludes within two weeks. If a player retires, markets that can be unconditionally settled based on completed play resolve accordingly; those that cannot are settled at fair market price at the Exchange's discretion.

Frequently asked questions

On Kalshi, the dashboard for the Nava vs Buse game spread market displays real-time odds and price movements as traders buy and sell shares tied to the final point differential. You can monitor the current implied probability of each outcome, historical price charts, and trading volume to understand how market sentiment has shifted. This snapshot helps you see whether the spread prediction is moving in one direction or remaining stable, giving you a clear view of collective trader expectations for how this matchup will unfold.

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 manage risk, while prediction markets like this one are driven by traders seeking profit through accurate forecasting. Comparing this market's implied probability to major sportsbook spreads can reveal whether professional bettors and retail traders disagree on the likely outcome, potentially signaling value or consensus shifts in real time.

On Kalshi, this market is priced through a continuous order book where traders submit bids and asks for shares representing each side of 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 share reflects the collective belief in that outcome's probability, ranging from near-zero to near-100 cents. As new information emerges or trader sentiment shifts, the bid-ask spread tightens or widens, and prices adjust to equilibrate supply and demand in real time.

This market resolves around Jun 29, 2026, once the game concludes and the final point differential is verified against credible public sources. The outcome is determined by comparing the actual margin of victory to the spread level embedded in the market contract. Traders who correctly predicted whether the margin would fall above or below that threshold receive their payout, while those on the losing side forfeit their stake.

Key catalysts include injury announcements, lineup changes, recent form and momentum shifts, and any breaking news about either player's condition or availability. Public statements from coaches or analysts can also sway trader sentiment. As game day approaches, late-breaking developments—such as weather conditions or last-minute roster adjustments—often trigger sharp repricing. Additionally, if comparable matchups or related events settle with unexpected results, traders may reassess their spread predictions and adjust positions accordingly.