CSEdge

Match preview · Esports World Cup 2026

BIG vs G2 — match prediction & analysis

13 August at 15:20 Oslo · by the CS Edge model

Go to match page →

Every call we publish goes up before the match and stays up afterwards, right or wrong. This is the reasoning behind BIG vs G2 at Esports World Cup 2026.

Our call publishes before kickoff. Free on csedge.io — premium members get every call up front.

BIG

✅ Ancient strength: 75% winrate over 8 maps is a strong tactical pick

✅ Reliably steers the veto to Inferno (70% pick rate)

✅ Strong recent form: 14 wins in last 22 (70%) shows momentum

❌ Only 38% winrate on Mirage over 8 maps — exploitable in the veto

❌ Heavy Anubis ban usage (62% bans) limits their map bargaining

❌ Weak head-to-head (0% versus G2) undermines matchup confidence

G2

✅ Mirage strength: 78% winrate over 9 maps is a strong tactical pick

✅ Head-to-head edge: 100% versus BIG historically gives veto and psychological advantage

❌ Only 33% winrate on Ancient over 6 maps — exploitable in the veto

❌ Practically never plays Nuke (100% banned), reducing veto flexibility

Head to head

BIG and G2 have met 2 times in the period we track — BIG 0, G2 2.

The map pool

Win, pick and ban rates over the last three months. This is where a series is often decided before it starts — a team can steer the veto onto a map the opponent rarely plays.

BIGG2
100%3 maps Cache -0 maps
75%8 maps Ancient 33%6 maps
67%9 maps Inferno 100%3 maps
67%3 maps Dust2 33%6 maps
38%8 maps Mirage 78%9 maps
50%4 maps Nuke -0 maps

The maps

Cache — BIG's pick

Ancient — G2's pick

Inferno — the decider

Our picks

🔒 4 picks for this match — unlocked for premium members on csedge.io (today's featured match is free for everyone).

More on these teams

All BIG predictions and results
All G2 predictions and results

Want every pick, every day?
Every prediction and every per-map call, live on the site and in our Discord — new members get 30 days of premium, free with Discord.
Start the free trial Live stats & player cards

Statistical model estimates, published for entertainment. Match data: HLTV.org.