Friday, December 5, 2025

Falcons Breezes Past G2 in Esports World Cup 2025

Falcons have eliminated G2 Esports from the Esports World Cup and secured their spot in the quarter-finals. The roster overhaul that everyone questioned in Cologne is now reaching the peak of their powers with their home crowd present.

VETO

  • G2 removed Nuke
  • Falcons removed Overpass
  • G2 picked Ancient
  • Falcons picked Train
  • G2 removed Mirage
  • Falcons removed Inferno
  • Dust2 was left over

Map 1: Ancient; Pick: G2; Winner: Falcons

Going 3-0 up, the Falcons started strong, dominating G2 right from the get-go. While G2 did manage to recover, Falcons remained largely ahead as the first half closed with Falcons leading by 2 rounds. Switching sides, G2 did manage to level the scoreline, but Falcons did not let the game slip out of their hands. Falcons went back to their winning ways with the first gun round, and their fortress of a CT side proved to be too strong for G2, leading to Falcons taking away G2’s map pick. G2’s nightmare on the map came in the familiar face of NiKo, who dropped 23 kills and 1.59 IR, leading to Falcons winning the map 13-9.

Map 2: Train; Pick: Falcons; Winner: Falcons

Bouncing back, G2 went 6-0 up to start their CT side on Train, which Falcons replicated by dropping a 6-0 streak of their own to close the half with a levelled scoreline. While G2 looked to be threatening the Falcons in the first half, the Falcons completely dominated G2 for the entirety of the second half. Having lost a single round, the Falcons went on a tear to secure the map and take the Falcons in the next round of play. TeSeS, playing in a supporting role, dropped 18 kills and a Train masterclass to secure the map for Falcons.

Both teams, coming off the back of a poor showing in Cologne, were hell bent on dropping something convincing here, while signs of improvement were evident for the Falcons, the same can’t be said for G2. Having lost a lot of firepower, the roster will take some time, and it would be unfair to judge it with a small sample size.

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