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%

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ITF Lakewood: Noah Johnston vs Lucas Marionneau
polymarket

ITF Lakewood: Noah Johnston vs Lucas Marionneau

Volume:
$241

Completed Match

 - Polymarket

Completed Match - Polymarket

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved May 28, 2026

Closed: Jun 4, 1:00 PM EST

polymarket

Polymarket

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

Completed Match

View
100%
Yes 100¢No 0¢
0.1¢
N/A
$24
N/A
N/A
N/A
Settled
Yes
polymarket

ITF Lakewood: Noah Johnston vs Lucas Marionneau

0%
Yes 0¢No 100¢
—
N/A
$217
N/A
N/A
N/A
Settled
Yes
Total markets: 2

Intro

This market tracks whether Noah Johnston will advance past Lucas Marionneau in the ITF Men's tournament at Lakewood. On Polymarket, the leading outcome currently stands at 100.0%, with the alternative outcome at 0.0%. Resolution will be determined by the official ITF Tennis tournament calendar. Watch for the match completion on or around June 4, 2026, when the final result will be recorded and the market will settle accordingly.

Frequently asked questions

The dashboard tracks real-time odds and trading activity for the Noah Johnston versus Lucas Marionneau ITF Lakewood match on Polymarket. It displays the current implied probability for each player to win, along with historical price movements and 24-hour trading volume. You can monitor how the market reprices as new information emerges, including player form, injury reports, and pre-match analysis. The dashboard updates continuously to reflect the latest consensus among prediction market participants, helping you understand how traders are positioning ahead of the match resolution on Jun 4, 2026.

Prediction market odds on Polymarket often diverge from traditional sportsbook lines because they reflect decentralized trader sentiment rather than bookmaker risk management. Sportsbooks adjust odds to balance liability; prediction markets respond directly to participant conviction. For the Johnston versus Marionneau match, comparing Polymarket implied probabilities to major sportsbooks can reveal where the crowd disagrees with professional oddsmakers. These differences may highlight undervalued or overvalued outcomes, though both venues ultimately converge as match time approaches and new information surfaces.

On Polymarket, the Johnston versus Marionneau match is priced through a continuous order-book mechanism where traders buy and sell outcome shares. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each outcome has a current price reflecting the probability traders assign to that result. Prices move in real time as new positions are entered, creating a dynamic market that responds to player news, betting patterns, and match-day developments. Liquidity and trading volume on Polymarket determine how easily you can enter or exit positions at the displayed price.

The market resolves on Jun 4, 2026 following the conclusion of the ITF Lakewood match between Noah Johnston and Lucas Marionneau. The outcome is determined by the official result of the tennis match. Once the match concludes and the winner is confirmed, the prediction market settles based on that result. Traders holding positions on the winning outcome receive their payout, while losing positions expire worthless. Resolution typically occurs shortly after the match ends and the official result is published.

Several factors could shift market prices before Jun 4, 2026. Player injury announcements or withdrawal news would dramatically reprrice the market. Recent tournament results, head-to-head records, and surface performance data for both Johnston and Marionneau may influence trader positioning. Court conditions at Lakewood, weather forecasts, and lineup confirmations closer to match day typically drive volatility. Betting activity from sharp traders or sudden volume spikes can signal new information. Pre-match commentary from analysts and social media sentiment may also prompt price adjustments as the event approaches.