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Live prediction market odds for Olivia Elliott vs. Maria Moraes. Compare prices across Kalshi and Polymarket US and Polymarket.

Browse historical results
Kalshi

Kalshi

4.9
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Claim offerLegal in USAVerified Sep 14, 2026

Kalshi / Polymarket US / Polymarket

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Olivia Elliott vs. Maria Moraes

ITF Women·2026-09-14

Best price · tap to trade

Olivia Elliott51¢1.96xKalshiMaria Moraes21¢4.76xPolymarket US
Learn more:How to Read Prediction Market PricesCompare Fees Before You TradeNew to Polymarket?

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Resolved Sep 28

Final odds

About This Market

Traders give Olivia Elliott about a 65.3% chance. Maria Moraes follows at 34.7%. Compare prices from Kalshi, Polymarket US, and Polymarket. The largest cross-platform price difference is 28.0 percentage points.

Traders give Olivia Elliott about a 65.3% chance. Maria Moraes follows at 34.7%. Compare prices from Kalshi, Polymarket US, and Polymarket. The largest cross-platform price difference is 28.0 percentage points.

Olivia Elliott vs. Maria Moraes: ITF Women's World Tennis Tour match scheduled for 2026-09-14. Compare live prediction market odds from Kalshi and Polymarket on Prediction Hunt.

Price History

Multi-Platform Probabilities
Loading 30D data…

Live Markets

3 platforms

Moneyline

OutcomeConsensus
KalshiKalshi
Polymarket USPolymarket US
PolymarketPolymarket
Best price
OE
Olivia ElliottARB
64%
Kalshi51¢
Polymarket US79¢
Polymarket66¢
Kalshi1.96x51¢
PlatformImplied %Yes bid / askNo bid / ask
KalshiKalshi
50.0%49¢51¢49¢51¢
Polymarket USPolymarket US
78.0%77¢79¢21¢23¢
PolymarketPolymarket
65.0%64¢66¢34¢36¢
MM
Maria MoraesARB
34%
Kalshi49¢
Polymarket US21¢
Polymarket34¢
Polymarket US4.76x21¢
PlatformImplied %Yes bid / askNo bid / ask
KalshiKalshi
48.0%47¢49¢51¢53¢
Polymarket USPolymarket US
20.0%19¢21¢79¢81¢
PolymarketPolymarket
33.0%32¢34¢66¢68¢
KalshiKalshiPolymarket USPolymarket USPolymarketPolymarket

Smart Trade Router

$
¢

Resolution Oracles

Read Full Market Rulebooks
Stats
Spread28.0%
Platforms3
Candidates2
Leader

Olivia Elliott

65.3% avg

Market RulebooksOfficial settlement criteria and edge cases

Market Rulebook: Olivia Elliott vs. Maria Moraes

Official settlement criteria, resolution sources, and edge cases across Polymarket US.

Polymarket USPolymarket US
Primary Rule

This market will settle to the winner of the Maria Moraes vs Olivia Elliott ITF match scheduled for Sep 14, 2026. If the match does not begin due to a walkover, withdrawal, or cancellation, the market will settle to $0.50. If the match is delayed, postponed, or suspended and not rescheduled to a date within two weeks of the originally scheduled date, the market will settle to $0.50. Outcome sourced from ITF.

Frequently Asked Questions

What does the Olivia Elliott vs. Maria Moraes prediction market track?

The outcomes listed above show how traders are pricing this question. Compare outcome prices from Kalshi, Polymarket US, Polymarket in one place. Each price reflects the market’s implied probability, not a guaranteed result.

What are the latest Olivia Elliott vs. Maria Moraes odds?

The latest available prices are Olivia Elliott: 51.0¢ on Kalshi, 66.0¢ on Polymarket, 79.0¢ on Polymarket US; Maria Moraes: 49.0¢ on Kalshi, 34.0¢ on Polymarket, 21.0¢ on Polymarket US. Prices are quoted in cents per $1 share. Check the venue for executable prices and available liquidity.

Why do Olivia Elliott vs. Maria Moraes odds vary across prediction markets?

The largest price difference shown across venues is 28.0 percentage points. Venues have different traders, liquidity and fees, so their prices can differ. A price gap alone does not establish an executable arbitrage opportunity; compare settlement rules and the actual buy and sell prices.

How do Olivia Elliott vs. Maria Moraes prediction market payouts work?

For example, Olivia Elliott at 65.3¢ implies about a 65.3% chance. For a standard $1 contract, a share pays $1 if its outcome settles as correct and $0 if it settles as incorrect. A winning share bought at 40¢ earns 60¢ before fees. Check each venue’s settlement rules, fees and eligibility before trading.