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National Bank Open: Frances Tiafoe vs Marin Cilic

"National Bank Open: Frances Tiafoe vs Marin Cilic" — on-chain market odds, USDC settlement in seconds.

National Bank Open: Frances Tiafoe vs Marin Cilic Set 1 O/U 8.5 100% National Bank Open: Frances Tiafoe vs Marin Cilic Set 2 Winner 100% National Bank Open: Frances Tiafoe vs Marin Cilic Set 1 O/U 9.5 100% National Bank Open: Frances Tiafoe vs Marin Cilic Set 1 O/U 10.5 100% Volume: $585K Liquidity: $213K Closes: 11 Aug 2026
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National Bank Open: Frances Tiafoe vs Marin Cilic

Platform comparison

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

Outcome probabilities

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

OutcomeProbability
National Bank Open: Frances Tiafoe vs Marin Cilic Set 1 O/U 8.5100%
National Bank Open: Frances Tiafoe vs Marin Cilic Set 2 Winner100%
National Bank Open: Frances Tiafoe vs Marin Cilic Set 1 O/U 9.5100%
National Bank Open: Frances Tiafoe vs Marin Cilic Set 1 O/U 10.5100%
National Bank Open: Frances Tiafoe vs Marin Cilic99%
National Bank Open: Frances Tiafoe vs Marin Cilic Match O/U 23.590%
National Bank Open: Frances Tiafoe vs Marin Cilic Match O/U 21.588%
National Bank Open: Frances Tiafoe vs Marin Cilic Match O/U 22.588%
National Bank Open: Frances Tiafoe vs Marin Cilic Total Sets: O/U 2.551%
Completed Match50%
National Bank Open: Frances Tiafoe vs Marin Cilic Set Handicap +/-1.55%
National Bank Open: Frances Tiafoe vs Marin Cilic Set Handicap +/-1.54%
National Bank Open: Frances Tiafoe vs Marin Cilic Set 2 O/U 8.50%
National Bank Open: Frances Tiafoe vs Marin Cilic Set 1 Winner0%
National Bank Open: Frances Tiafoe vs Marin Cilic Set 2 O/U 9.50%
National Bank Open: Frances Tiafoe vs Marin Cilic Set 2 O/U 10.50%

Market context

Frances Tiafoe’s meeting with Marin Čilić at the National Bank Open is priced as a modest favourite for Tiafoe, with the crowd implying a 64% chance he advances. The matchup is on hard courts in Montréal, and the available previews and live listings show it as a scheduled second-round ATP Masters 1000 match rather than a one-setter or retirement-prone exhibition, so the market is really about who progresses under standard best-of-three rules.[1][2][5]

The main historical frame is that this is an old-style power matchup with limited direct evidence on this surface: head-to-head records in the search results show Čilić leading 2-0 overall, but the meetings were years ago and not on hard courts, which makes that record less predictive than current form or court-speed fit.[1][8][15] That helps explain why the market sits below a landslide even though Tiafoe is the higher-ranked player in the current event listings; in tennis markets, older head-to-heads often matter less than the surface, recent conditioning, and whether the favourite can handle a veteran server/returner profile over three sets.[3][15]

What traders should watch is whether the match is completed inside the settlement window and whether any draw, cancellation, or postponement forces the contract to 50-50 under the rules. The listings show the match timed for 4 August in Montréal, with live-score pages already reflecting in-progress or updated status, so a late start, suspension, or retirement is the main operational risk rather than a long-delayed reschedule.[2][5][6][7] In crypto terms, the contract settles in USDC, so any broader BTC/ETH move mainly matters only if it shifts platform liquidity or risk appetite rather than the tennis outcome itself.

Sources: 1 · 2 · 3 · 4 · 5

Methodology

Methodologically this overview focuses on on-chain pricing: Polymarket's live mid comes from the Polygon conditional-token order book and settles automatically in USDC. The other three venues — Kalshi, Betfair, Manifold — sit alongside as off-chain reference points so you can see how the contract translates across regulatory and settlement regimes.

Resolution & payout

Settlement is on-chain via UMA Optimistic Oracle. A proposer posts the outcome with a bond, a two-hour dispute window opens, then the smart contract lifts winning conditional tokens to 1 USDC and sends payments to holders' wallets automatically. No withdrawal fees beyond Polygon gas.

Off-chain venues (Kalshi, Betfair, Smarkets) settle in local fiat through bank-side clearing — faster than SWIFT, slower than on-chain. Manifold pays no real cash.

FAQ

What are crypto prediction markets?
Crypto prediction markets are on-chain smart contracts where you buy YES or NO shares on a future crypto event (e.g. "BTC above $100k by year-end"). The market price between 0¢ and 100¢ is the implied probability.
Why USDC and not ETH or USDT?
USDC is the Polygon standard — audited reserves (Circle, monthly attestation), deepest order book, low gas costs. ETH volatility would distort probability quotes; USDT has thinner Polygon liquidity than USDC.
What does a transaction cost on Polygon?
Polygon gas is typically under $0.01 per transaction. A full trade cycle (Approve + Order + Fill) totals around $0.03 — compared to $5-50 on Ethereum mainnet.
How volatile are crypto prediction markets?
Crypto markets react to spot prices — a 5% BTC move typically shifts a "BTC above X by date" market 10-20%. Polymarket crypto market liquidity is usually six-figure USD, sufficient for active trading.
Are crypto prediction markets taxable in the US?
In the US, prediction market gains are typically treated as ordinary income or short-term capital gains depending on holding period. Consult a tax professional for your specific situation — we cannot provide tax advice.
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Related Topics

Tennis Prediction Markets