National Bank Open: Rafael Jodar vs Corentin Moutet

Platform comparison

Market context

Rafael Jodar’s second-round match with Corentin Moutet in Montreal is priced by the crowd at about 73% for Jodar, which is roughly in line with a favourite trading around 1.37 decimal odds on a betting exchange, or a shorter price once commission is added. On Polymarket-style prediction markets, that same view is shown as an implied probability, while on Betfair or Smarkets the market is usually easier to compare via decimal odds and back/lay spreads; Kalshi presents contracts in price terms too, but access and KYC rules differ by jurisdiction. Moutet has the higher ATP pedigree, but the market is leaning towards Jodar, likely reflecting his stronger season numbers and the fact that there is no head-to-head history between them[1][2][3][9].

Comparable cases in ATP Masters events often show that a player with the better recent win rate can be favoured even when the opponent has the more established tour record. Published season splits point in Jodar’s direction: one source lists him at 31-12 for 2026, against Moutet’s 8-17, with Jodar also ahead on hard-court win rate and return metrics[2]. Another market page places Jodar’s projected win chance at 81%, which is materially higher than the current crowd-implied 73%, suggesting either a softer public price or some uncertainty around match readiness and draw context[9]. The lack of past meetings matters because there is no direct style matchup to anchor the price[1][2].

The key catalysts are straightforward: confirmation the match is actually played on the scheduled day, the order of play, and whether either player withdraws before first serve. The market only resolves to 50-50 if the match is cancelled, tied, or delayed beyond seven days without a winner, so scheduling news is more relevant here than in a standard outright market. Traders using exchanges will also need to factor in fees and KYC reach: Betfair and Smarkets tend to suit users who want to trade the probability through back/lay depth, while Polymarket and Kalshi show the event more directly as a yes/no contract price and may diverge on availability depending on account access.

Sources: 1 · 2 · 3 · 4 · 5

Methodology

This page compares National Bank Open: Rafael Jodar vs Corentin Moutet 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 Polymarket Alternative, which mirrors the Polymarket order book at 0% fees.

Resolution & payout

Settlement is the biggest difference between the four platforms: Polymarket on-chain in USDC (instant), Kalshi USD via CFTC (T+1), Betfair and Smarkets in local currency via bank withdrawal (T+1 to T+3). On-chain settlement clears in minutes — the fastest payout path of the four.

FAQ

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.

Are all these platforms regulated?

No. Kalshi is CFTC-regulated (US). Betfair and Smarkets are UK Gambling Commission licensed. Polymarket operates without explicit regulation — a different risk profile than a regulated sportsbook.

Which platform supports Klarna/SOFORT?

Directly: none. Polymarket accepts only USDC on Polygon. Polymarket Alternative offers a fiat on-ramp via Klarna or SOFORT (DE/AT/CH) and converts internally to USDC for the Polymarket order book. T+1 processing.