TOTAL VOLUME:

$134.1b

24H VOL:

$141,541,542

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,440,096,988

406,065

Markets across

30,522

events

MATCHED EVENTS:

2,692

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

BETA
Dashboards
Tour
All
Sports
Victoria Mboko vs Madison Keys: Set 2 Winner
kalshi

Victoria Mboko vs Madison Keys: Set 2 Winner

Volume:
$30,732

Victoria Mboko

 - Kalshi

Victoria Mboko - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved May 30, 2026

Closed: May 30, 3:02 PM EST

kalshi

Kalshi

View
Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Victoria Mboko

View
100%
Yes 100¢No 0¢
100¢
N/A
$24,159
N/A
N/A
$18,342
Settled
Yes
kalshi

Madison Keys

0%
Yes 0¢No 100¢
100¢
N/A
$6,573
N/A
N/A
$4,014
Settled
No
Total markets: 2

Intro

This market tracks whether Victoria Mboko will win the second set against Madison Keys in their 2026 French Open Women's Singles Round of 32 match on Kalshi. Victoria Mboko currently holds a 54.5% probability of winning set 2, while Madison Keys is at 44.0%. The market resolves based on the official result from the professional tennis match at Roland Garros. Watch for the actual set 2 outcome when the match takes place on or around May 30, 2026.

Frequently asked questions

The PredictionHero dashboard tracks real-time odds and trading activity for the Victoria Mboko vs Madison Keys Set 2 Winner market on Kalshi. It displays the current implied probability for each outcome, historical price movements, and 24-hour trading volume in USD. The dashboard updates continuously as traders buy and sell shares, reflecting the collective forecast of who will win the second set. You can monitor how odds shift as the match approaches and during live play, giving you a transparent view of market sentiment and liquidity for this specific tennis event.

Prediction market odds on Kalshi often diverge from traditional sportsbook odds because they reflect real-time trader consensus rather than fixed lines set by oddsmakers. Sportsbooks adjust for margin and manage liability, while prediction markets aggregate live belief through continuous trading. For the Victoria Mboko vs Madison Keys Set 2 Winner event, comparing Kalshi implied probabilities to major sportsbooks can reveal where public opinion differs from professional bookmakers. These gaps may signal value or reflect differences in how each venue prices tennis set outcomes.

On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, the Victoria Mboko vs Madison Keys Set 2 Winner market is priced as a binary contract where traders buy or sell shares representing each outcome. The price of each share reflects the market's implied probability, ranging from 0 to 100 cents. As traders place orders, the price adjusts in real time based on supply and demand. Kalshi's order book shows the depth of interest at different price levels, allowing you to see whether the market is confident or uncertain about the set winner.

The Victoria Mboko vs Madison Keys Set 2 Winner market resolves on May 30, 2026. Resolution is determined by the official result of the second set in the match between Victoria Mboko and Madison Keys. The market will settle once the set is complete and the winner is confirmed by the tournament or match officials. Until that time, odds will continue to shift based on player performance, injury reports, and other factors that influence expectations about the set outcome.

Several factors could shift odds for the Victoria Mboko vs Madison Keys Set 2 Winner before resolution. Player injuries or withdrawals announced before the match would trigger sharp moves. Recent form, head-to-head records, and surface conditions (if applicable) influence trader positioning. During the match itself, the outcome of Set 1 is a major catalyst—the set winner often gains momentum and confidence, moving the Set 2 odds. Court conditions, weather, and visible fatigue or injury during play also drive real-time repricing as new information emerges.