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Jerome Kym vs August Holmgren: Game Spread
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Jerome Kym vs August Holmgren: Game Spread

Volume:
$715

Jerome Kym -1.5 games

 - Kalshi

Jerome Kym -1.5 games - Kalshi

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Jun 24, 2026

Closed: Jun 24, 11:12 AM EST

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Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Jerome Kym -1.5 games

View
100%
Yes 100¢No 0¢
100¢
N/A
$470
N/A
N/A
$470
Settled
Yes
kalshi

August Holmgren -1.5 games

0%
Yes 0¢No 100¢
100¢
N/A
$138
N/A
N/A
$138
Settled
No
kalshi

August Holmgren -4.5 games

0%
Yes 0¢No 100¢
100¢
N/A
$107
N/A
N/A
$107
Settled
No
Total markets: 3

Description

This market covers the game differential between Jerome Kym and August Holmgren in their professional tennis match during the 2026 Wimbledon Men's Singles Qualification Round 2 on June 24. Bettors predict the margin of games won by either player across the full match.

Kalshi

Resolution is based on the game differential across the full match, calculated as the difference in games won by each player. Positive differentials favor August Holmgren; negative differentials favor Jerome Kym. 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 resolved to fair market price at the Exchange's discretion.

Frequently asked questions

On Kalshi, the dashboard for the Kym vs Holmgren game spread displays real-time odds and historical price movements as traders buy and sell contracts tied to the final margin of victory. You can monitor how the spread prediction evolves, review 24-hour trading activity, and track cumulative volume to gauge market conviction. This market reflects collective trader sentiment on whether one competitor will win by a specific point differential, updated continuously throughout the trading window.

Prediction market odds and traditional sportsbook spreads often diverge because they reflect different participant pools and incentive structures. Sportsbooks set lines to balance action and manage risk, while prediction markets aggregate dispersed information from traders with real money at stake. This market may show tighter or wider spreads than conventional bookmakers, depending on trader confidence and liquidity. Comparing the two can reveal where informed traders see value relative to public betting consensus.

On Kalshi, this market is priced through an order-book mechanism where traders submit bids and asks for contracts representing different spread outcomes. 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 probability traders assign to that specific margin of victory. As new information emerges or sentiment shifts, the bid-ask spread tightens or widens, and contract prices adjust accordingly. Liquidity and trading volume directly influence how quickly prices respond to breaking news or analytical updates.

This market resolves around Jun 24, 2026, once the game concludes and the final margin is confirmed. The outcome is verified against credible public sources reporting the official score and point differential. Traders holding contracts aligned with the actual result receive their payout, while opposing positions expire worthless. Resolution timing depends on when the game ends and official results are published.

Key catalysts include injury announcements, roster changes, recent performance trends, and head-to-head matchup history. Public statements from coaches or analysts, betting-market shifts at major sportsbooks, and late-breaking team news can all trigger rapid repricing. Weather conditions, venue factors, and unexpected lineup adjustments closer to game time often spark volatility. Traders monitor these signals continuously, so any credible development can shift the spread prediction meaningfully before the final whistle.