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Get ready for one of the most stacked CS2 Major playoffs of all time. In this episode of Counter-Points, Thorin and Pimp break down why this Major format with VRS seeding has actually worked, how it created a logical narrative through all three stages, and why the playoff bracket is almost the dream scenario for competitive Counter-Strike. They talk about how teams like FlyQuest naturally hit their ceiling, why this playoff field is statistically one of the strongest ever, and why there’s basically no way to get a “bad” semifinal with this bracket.
Come join LFN hosts and fans for some fun competition in Mechabellum this holiday season! Play in our 2v2 tournament on December 20th to have a chance to win $500 in cash alongside in-game rewards. Use code “LastFreeNation” in Mechabellum to earn a special, holiday-themed in-game reward.
Mechabellum on Steam: https://bit.ly/4oLm3Jg
Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
By Last Free NationGet ready for one of the most stacked CS2 Major playoffs of all time. In this episode of Counter-Points, Thorin and Pimp break down why this Major format with VRS seeding has actually worked, how it created a logical narrative through all three stages, and why the playoff bracket is almost the dream scenario for competitive Counter-Strike. They talk about how teams like FlyQuest naturally hit their ceiling, why this playoff field is statistically one of the strongest ever, and why there’s basically no way to get a “bad” semifinal with this bracket.
Come join LFN hosts and fans for some fun competition in Mechabellum this holiday season! Play in our 2v2 tournament on December 20th to have a chance to win $500 in cash alongside in-game rewards. Use code “LastFreeNation” in Mechabellum to earn a special, holiday-themed in-game reward.
Mechabellum on Steam: https://bit.ly/4oLm3Jg
Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

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