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UFC Fight Night: Amanda Lemos vs. Alexia Thainara (Women's Strawweight, Prelims)

Cross-platform snapshot for "UFC Fight Night: Amanda Lemos vs. Alexia Thainara (Women's Strawweight, Prelims)": deepest order book, lowest fee, geo-coverage at a glance.

Fight to Go the Distance? 100% O/U 0.5 Rounds 100% O/U 1.5 Rounds 100% O/U 2.5 Rounds 100% Volume: $510K Closes: 9 Aug 2026
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UFC Fight Night: Amanda Lemos vs. Alexia Thainara (Women's Strawweight, Prelims)

Platform comparison

PlatformYES oddsNO oddsFeeKYCSettlement
Polymarket (via Kalshi Alternative) Pick
polygram.ink (preferred broker)
100% 0% 0% (USDC on-chain) No-KYC up to $1,500 USDC, auto via UMA oracle Go to the live market →
Polymarket (direct)
polymarket.com
100% 0% 0% Geo-blocked in US/UK/EU USDC, on-chain Go to the live market →
Kalshi
kalshi.com
Up to 7% per trade US-only, KYC required USD Go to the live market →
Betfair Exchange
betfair.com
2-5% commission Full KYC from first trade GBP / EUR Go to the live market →
Manifold Markets
manifold.markets
Play-money (mana) None — play-money Mana (no cash-out) Go to the live market →

Outcome probabilities

Current market-implied probability for each outcome, from the live order book.

OutcomeProbability
Fight to Go the Distance?100%
O/U 0.5 Rounds100%
O/U 1.5 Rounds100%
O/U 2.5 Rounds100%
Amanda Lemos vs. Alexia Thainara0%
Fight won by KO/TKO?0%
Lemos to win by KO/TKO?0%
Thainara to win by KO/TKO?0%
Fight won by submission?0%

Market context

Amanda Lemos faces Alexia Thainara in a women’s strawweight bout on the UFC Fight Night card headlined by Gamrot vs Salkilld, with official resolution tied to the UFC result rather than any sportsbook grading nuance. Recent previews treated Thainara as the market favourite, with FanDuel listing her around -250 and Lemos near +198, while other books and previews clustered similarly in the mid-200s for Thainara and plus-money for Lemos.[1][5][10][17] That makes a 0% crowd-implied YES price look detached from the external fight market: on Polymarket-style contracts, probability is displayed directly, whereas Kalshi, Betfair and Smarkets participants usually see decimal odds or exchange prices that must be mentally converted into implied probability, with commissions or fees changing the effective break-even point.

The historical read-through is that this is a classic experience-versus-form matchup. Lemos entered after back-to-back unanimous-decision losses, but she had previously beaten Iasmin Lucindo, while Thainara arrived unbeaten in the UFC and on a broader winning streak, which is why previews split between Thainara’s younger, cleaner recent profile and Lemos’ greater top-level experience.[1][9][11][18] Several analysts also expected the bout to reach the scorecards, with over 2.5 rounds priced as a favourite in multiple betting previews, which matters because decision-heavy matchups can keep prediction-market prices more sensitive to judge-facing narratives than to finish risk.[5][10][19]

For traders, the main catalysts are the UFC’s final bout order, any last-minute injury or weight issues, and the official result posting after the fight. The bout was scheduled for the UFC Apex in Las Vegas and placed on the main card in several previews, with expected walk times around late evening ET, so liquidity on exchange-style platforms tends to tighten sharply once the fight starts and the market shifts from pre-fight pricing to settlement risk.[1][12][13] Cross-platform comparison also matters here: Betfair and Smarkets are generally open to a wider international user base but charge commission, while US-facing books and some market venues can have stricter KYC or location limits, so the same underlying fight can trade at different net prices even when headline odds look similar.

Sources: 1 · 2 · 3 · 4 · 5

Live Data & Statistics

The Polymarket order book prices Fight to Go the Distance? at 100% for "UFC Fight Night: Amanda Lemos vs. Alexia Thainara (Women's Strawweight, Prelims)".

Fight to Go the Distance? 100% Other 0%

Live stats load when the match begins. Current market odds are shown above. Trading volume: $510K.

Methodology

This page compares UFC Fight Night: Amanda Lemos vs. Alexia Thainara (Women's Strawweight, Prelims) specifically across Polymarket, Kalshi, Betfair Exchange and Smarkets. The live probability is the Polymarket mid; the comparison columns summarise each venue's fee structure, KYC, settlement currency and payment rails. Every CTA routes to Kalshi Alternative, which mirrors the Polymarket order book at 0% fees.

Resolution & payout

Polymarket settles via UMA Optimistic Oracle on Polygon. A proposer posts the outcome with a bond, the two-hour window runs, then the smart contract pays USDC.

Kalshi settles USD through the CFTC-regulated clearinghouse — the cleanest variant, with heavier KYC. Betfair Exchange settles in account currency (GBP/EUR), net of 2-5% commission. Smarkets follows the same model as Betfair with a lower default 2% commission.

FAQ

Polymarket vs Kalshi — which is better?
Depends on your location. Kalshi is CFTC-regulated, US-only with full KYC. Polymarket is global, on-chain, no KYC up to $1,500. Polymarket has ~10x higher liquidity but higher regulatory risk.
What does Polymarket cost vs Kalshi?
Polymarket: 0% fees, only Polygon network costs (~$0.01/trade). Kalshi: up to 7% per trade plus spread. For high-frequency traders, Polymarket is dramatically cheaper.
Which platform has the deepest liquidity?
Polymarket — by a wide margin. Top markets reach $50-500M volume, Kalshi ~$200M cumulative, Betfair similar. Deeper liquidity means your trade moves the quote less.
Is Betfair a Polymarket alternative?
Only partially. Betfair Exchange is UK-focused with a sports-betting emphasis; they have politics markets but with thinner liquidity than Polymarket. Settlement in GBP/EUR, 2-5% commission on winnings.
What about Smarkets as an alternative?
Smarkets is a UK betting exchange with a lower default commission (2%) than Betfair. Liquidity on political markets is below Polymarket, comparable to Kalshi. Geo-blocked in many jurisdictions.
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Related Topics

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