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Ben Shelton vs Marcos Giron: Exact Match Score
kalshi

Ben Shelton vs Marcos Giron: Exact Match Score

Volume:
$23,527

Ben Shelton wins 2-1

 - Kalshi

Ben Shelton wins 2-1 - Kalshi

1W

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Positive

Negative

Neutral

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Vol.

·

Resolved Jun 12, 2026

Closed: Jun 12, 11:05 AM EST

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

Ben Shelton wins 2-1

View
100%
Yes 100¢No 0¢
100¢
N/A
$3,272
N/A
N/A
$2,882
Settled
Yes
kalshi

Ben Shelton wins 2-0

0%
Yes 0¢No 100¢
100¢
N/A
$16,377
N/A
N/A
$14,476
Settled
No
kalshi

Marcos Giron wins 2-0

0%
Yes 0¢No 100¢
100¢
N/A
$3,202
N/A
N/A
$3,131
Settled
No
kalshi

Marcos Giron wins 2-1

0%
Yes 0¢No 100¢
100¢
N/A
$676
N/A
N/A
$675
Settled
No
Total markets: 4

Description

This market predicts the exact final set score of the match between Ben Shelton and Marcos Giron at the 2026 ATP Stuttgart Round of 16. Possible outcomes include 2-0 or 2-1 victories for either player, representing the number of sets won by each competitor.

Kalshi

The market resolves based on the final set score of the match, with separate outcomes for Ben Shelton winning 2-0, Ben Shelton winning 2-1, Marcos Giron winning 2-1, or Marcos Giron winning 2-0. 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, any sets already completed resolve according to play completed; if the final set score cannot be unconditionally determined, the market resolves to fair market price at the Exchange's discretion.

Frequently asked questions

The Shelton vs Giron exact score market dashboard on Kalshi tracks real-time odds and price movements for predicting the precise final set score of this tennis matchup. The interface displays current market probability, historical price charts, and trading volume data. Over the past 24 hours, this market has seen volume of $20,550, reflecting active trader interest in the outcome. The dashboard also shows cumulative liquidity across all outcome combinations, helping traders assess depth and slippage for their positions.

Prediction market odds and 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 the beliefs of traders risking real capital on outcomes. This market may show different probabilities than traditional sports betting sites because traders here are motivated purely by accuracy, not by the need to manage liability. Comparing the two can reveal where consensus differs most sharply.

On Kalshi, this market is priced through an order-book mechanism where traders submit bids and asks for each possible exact score outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The platform matches buyers and sellers in real time, and the last traded price for each outcome becomes the visible market quote. Traders can also place limit orders to wait for their target price, or execute market orders for immediate fills. Prices range from near-zero for unlikely scores to higher levels for more probable results.

This market resolves around Jun 12, 2026, once the Shelton vs Giron match concludes and the final set score is confirmed. The outcome will be verified against credible public sources covering professional tennis results. Traders holding positions on the correct exact score will receive payouts based on their entry price, while incorrect positions expire worthless. Early resolution is possible if the match is cancelled or postponed beyond the end date.

Market prices will shift based on player form, recent head-to-head records, court surface conditions, and any injury reports before the match begins. Real-time momentum during play—such as early set leads, break-point conversions, or momentum swings—will drive significant repricing as traders update their beliefs. Betting market activity and social media sentiment can also influence prediction market prices. Late-breaking news about player fitness or match scheduling changes may trigger sharp moves in the hours before play starts.