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National Bank Open: Caty McNally vs Alexandra Eala

Sports snapshot for "National Bank Open: Caty McNally vs Alexandra Eala" with league data and platform comparison on a single page.

Completed Match 100% National Bank Open: Caty McNally vs Alexandra Eala Total Sets: O/U 2.5 100% National Bank Open: Caty McNally vs Alexandra Eala Set 1 O/U 8.5 100% National Bank Open: Caty McNally vs Alexandra Eala Set 2 Winner 100% Volume: $588K Closes: 15 Aug 2026
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National Bank Open: Caty McNally vs Alexandra Eala

Platform comparison

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

Outcome probabilities

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

OutcomeProbability
Completed Match100%
National Bank Open: Caty McNally vs Alexandra Eala Total Sets: O/U 2.5100%
National Bank Open: Caty McNally vs Alexandra Eala Set 1 O/U 8.5100%
National Bank Open: Caty McNally vs Alexandra Eala Set 2 Winner100%
National Bank Open: Caty McNally vs Alexandra Eala Set 2 O/U 8.5100%
National Bank Open: Caty McNally vs Alexandra Eala Match O/U 21.5100%
National Bank Open: Caty McNally vs Alexandra Eala Set 2 O/U 9.5100%
National Bank Open: Caty McNally vs Alexandra Eala Match O/U 22.5100%
National Bank Open: Caty McNally vs Alexandra Eala Set 2 O/U 10.5100%
National Bank Open: Caty McNally vs Alexandra Eala Match O/U 23.5100%
National Bank Open: Caty McNally vs Alexandra Eala0%
National Bank Open: Caty McNally vs Alexandra Eala Set 1 Winner0%
National Bank Open: Caty McNally vs Alexandra Eala Set Handicap +/-1.50%
National Bank Open: Caty McNally vs Alexandra Eala Set 1 O/U 9.50%
National Bank Open: Caty McNally vs Alexandra Eala Set Handicap +/-1.50%
National Bank Open: Caty McNally vs Alexandra Eala Set 1 O/U 10.50%

Market context

Caty McNally’s meeting with Alexandra Eala in Toronto is a hard-court WTA match-up that pits McNally’s recent rise against Eala’s stronger season-long profile. Eala is the higher-ranked player, with the tennis.com listing showing her at singles No 20 against McNally at No 70, while both players arrive with comparable recent win rates in 2026 data sets; one stats feed has McNally at 29-18 and Eala at 20-17, and another shows Eala at 38-26 over the last 52 weeks versus McNally’s 42-22, which underlines how closely priced this kind of contest can be when form is mixed.[3][6]

For historical framing, the cleanest read is that McNally has already shown she can beat stronger opposition this summer, with Flashscore noting she had not beaten a top-20 player until April but has since recorded two such wins, including Victoria Mboko in Madrid, and that she reached the last 16 of a WTA 1000 event for the first time there.[1] Eala, by contrast, has a steadier record against lower-ranked players and has reached the last 16 of WTA 1000 tournaments four times, all on hard courts, which is the same surface as Toronto.[1] Their lack of a previous tour-level head-to-head removes any direct matchup signal and pushes traders back towards surface fit, ranking, and current momentum.[4][6]

The main catalysts now are straightforward: final match scheduling, any late withdrawals, and whether either player comes in with physical issues from earlier rounds or doubles commitments. The National Bank Open event page and live match listings show the contest as the current Toronto tie, but statistics remain unpublished until play starts, so any market move before first ball is likely to be driven by confirmed line-up news rather than in-match data.[9][10][13] With the market set to resolve only if one player advances, delayed start times or a walkover would matter more than routine set-level swings, and the current 0% crowd price leaves room for a sharp repricing once the match is officially under way.[3][10]

Sources: 1 · 2 · 3 · 4 · 5

Methodology

Sports-specific comparison page for National Bank Open: Caty McNally vs Alexandra Eala. Polymarket's live quote (Polygon order book) plus platform attributes for the three reference venues. Sports markets reward liquidity — Polymarket and Betfair are materially deeper than Kalshi or Manifold.

Resolution & payout

Sports markets typically settle on official final-whistle plus league confirmation. Polymarket uses UMA Optimistic Oracle with a source URL per contract — usually official league data feeds or ESPN/Soccerway. Two-hour dispute window, then smart-contract payout in USDC.

FAQ

Are prediction markets better than sports betting?
Prediction markets tend toward tighter odds than bookmakers because they use peer-to-peer exchange rather than bookmaker margin. On major matches, Polymarket quotes typically sit 2-5% closer to the true probability model than bet365 or DraftKings.
Can I bet on individual matches?
Yes, Polymarket lists every major Premier League / Champions League / World Cup match as its own market. Liquidity varies — top matches like El Clásico or a semi-final often have six-figure pools, lower-league games closer to three-figure.
How fast do sports winnings settle?
Once the official league outcome is logged in the UMA Oracle (typically 1-2 hours after the final whistle), Polymarket's smart contract triggers USDC payout. To your wallet within minutes.
What's the difference between match odds and outright odds?
Match odds cover a single game ("Bayern beats BVB"). Outright odds are long-term aggregates ("Bayern wins the league"). Outright markets have deeper liquidity; match markets have faster resolution.
Can I import form data and lineups?
This page shows the live Polymarket quote as an implied probability. Form data and lineups must be researched separately via sports data providers (e.g. Soccerway, ESPN, FBref) — we surface the market probability, not the sport analysis.
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