TOTAL VOLUME:

$134b

24H VOL:

$103,397,351

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,410,176,180

399,592

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30,097

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MATCHED EVENTS:

2,622

PLATFORM COVERAGE:

5

Polymarket:

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Kalshi:

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Flavio Cobolli vs Frances Tiafoe: Game Spread
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Flavio Cobolli vs Frances Tiafoe: Game Spread

Volume:
$7,870

Frances Tiafoe -4.5 games

 - Kalshi

Frances Tiafoe -4.5 games - Kalshi

1W

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Positive

Negative

Neutral

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Vol.

·

Resolved Jun 15, 2026

Closed: Jun 15, 12:33 PM 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

Frances Tiafoe -4.5 games

View
100%
Yes 100¢No 0¢
100¢
N/A
$5,535
N/A
N/A
$4,995
Settled
Yes
kalshi

Frances Tiafoe -1.5 games

100%
Yes 100¢No 0¢
100¢
N/A
$2,061
N/A
N/A
$1,570
Settled
Yes
kalshi

Flavio Cobolli -1.5 games

0%
Yes 0¢No 100¢
100¢
N/A
$275
N/A
N/A
$275
Settled
No
Total markets: 3

Description

This market covers the game spread in the professional tennis match between Flavio Cobolli and Frances Tiafoe at the 2026 ATP Halle Round of 32 on June 15. Bettors can wager on whether one player will win by a specified game margin across the full match.

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Resolution is determined by the total game differential across the complete match. Each market outcome corresponds to a specific game spread threshold; if the favored player's game differential exceeds that threshold, the outcome resolves Yes. If the match does not occur before play begins due to injury, walkover, forfeiture, or cancellation, the market resolves to fair price. Postponed or delayed matches remain 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 Cobolli vs Tiafoe tennis match displays real-time odds and historical price movement for this game spread market. Traders can monitor current implied probabilities, 24-hour trading volume, and order book depth to assess market sentiment around the match outcome. The interface shows how prediction market participants are pricing the spread, updated continuously as new trades execute. This live data helps bettors and analysts gauge consensus expectations ahead of the event.

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 lock in profit margins, while prediction markets aggregate trader beliefs through continuous price discovery. This market's odds may lead or lag sportsbook spreads depending on information flow and liquidity. Comparing the two can reveal where professional bettors and casual traders disagree on the likely outcome.

On Kalshi, this market is priced through an order-book mechanism where traders buy and sell contracts reflecting their belief in the outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each contract reflects the implied probability of that outcome occurring, ranging from near zero to near 100. As new information emerges or trader sentiment shifts, bids and asks adjust, moving the market price. Liquidity and trading volume influence how quickly prices respond to new developments.

This market resolves around Jun 15, 2026, once the match concludes and the final spread is confirmed. The outcome will be verified against credible public sources reporting the official result. Until that point, traders can adjust positions as match conditions, player form, or other factors shift expectations. Early resolution is possible if circumstances make the outcome certain before the scheduled end date.

Player injuries, recent form, head-to-head records, and court surface conditions are key catalysts that can shift this market significantly. News about either competitor's fitness, mental state, or preparation could trigger repricing. Tournament momentum, weather forecasts, and betting syndicate activity may also influence trader positioning. Close matches between ranked opponents often see volatile price swings as new information emerges, so monitoring pre-match developments is essential for active traders.