Episode Details

Back to Episodes
Toronto Masters PREVIEW & PREDICTIONS | Monday Match Analysis

Toronto Masters PREVIEW & PREDICTIONS | Monday Match Analysis

Episode 347 Published 2 years, 5 months ago
Description

On this edition of Monday Match Analysis, Gill Gross previews the 2023 National Bank Open in Toronto, Ontario, Canada, the first of two one-week Masters 1000s on North American hardcourt ahead of the US Open, quarter-by-quarter, with dark horses, upset alerts, popcorn matches and predictions. Carlos Alcaraz, the No. 1 seed, is playing his first tour event since winning Wimbledon. 2-seed Daniil Medvedev is thrilled to be back on hardcourt again. 3-seed Casper Ruud was a semifinalist in Canada (Montreal last year). And the No. 4 seed Stefanos Tsitsipas looks to continue positive momentum after picking up his first-ever outdoor hardcourt title in Los Cabos 250.

00:00 Intro

05:23 Pick To Win

11:25 Alcaraz Quarter

14:25 Tsitsipas Quarter

17:50 Ruud Quarter

21:14 Medvedev Quarter

23:58 Final Weekend


Support this podcast: https://podcasters.spotify.com/pod/show/monday-match-analysis/support

IG: https://www.instagram.com/gillgross_/
TikTok: https://www.tiktok.com/@gill.gross
24/7 Tennis Community on Discord: https://discord.gg/wW3WPqFTFJ
Twitter/X: https://twitter.com/Gill_Gross

The Draw newsletter, your one-stop-shop for the best tennis content on the internet every week: https://www.thedraw.tennis/subscribe

Become a member to support the channel: https://www.youtube.com/channel/UCvERpLl9dXH09fuNdbyiLQQ/join

Evans Brothers Coffee Roasters, the Official Coffee Of Monday Match Analysis... use code GILLGROSS25 for 25% off your first order: https://evansbrotherscoffee.com/collections/coffee

AUDIO PODCAST FEEDS
Spotify: https://open.spotify.com/show/5c3VXnLDVVgLfZuGk3yxIF?si=AQy9oRlZTACoGr5XS3s_yg
Itunes: https://itunes.apple.com/us/podcast/monday-match-analysis/id1432259450?mt=2


Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Listen Now

Love PodBriefly?

If you like Podbriefly.com, please consider donating to support the ongoing development.

Support Us