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IEM · Krakow 2026 · Group A
S-Tier

FUT Esports vs G2

Finished
Format: BO3·Played: Feb 1, 18:33 UTC
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Map Results

MirageMirageMap 1
WFUT Esports
W–L
LG2
Duration: 47:58
Dust2Dust2Map 2
LFUT Esports
L–W
WG2
Duration: 61:22
AncientAncientMap 3
LFUT Esports
L–W
WG2
Duration: 41:23

Streams

Map Breakdown

Series best: HeavyGod — 1.28 average rating across 3 maps.

Ancient

G2 13–9 FUT Esports
G21st half 7 · 2nd half 6CT 6/10 · T 7/12Pistols 1/2
FUT Esports1st half 5 · 2nd half 4CT 5/12 · T 4/10Pistols 1/2
PlayerKDA+/−ADRKASTRating
HeavyGodG2221412+8102.377%1.58
MATYSG218147+485.477%1.35
SunPayusG214125+262.073%1.24
KrabeniFUT Esports18134+588.168%1.00
dziugssFUT Esports16168+078.273%0.99
Dem0NFUT Esports14164-274.064%0.94
huNter-G2101610-676.373%0.92
cmtryFUT Esports16157+187.568%0.90
malbsMdG212166-456.573%0.82
lauNXFUT Esports8184-1038.082%0.76

Dust2

G2 13–9 FUT Esports
G21st half 9 · 2nd half 4CT 4/10 · T 9/12Pistols 2/2
FUT Esports1st half 3 · 2nd half 6CT 3/12 · T 6/10Pistols 0/2
PlayerKDA+/−ADRKASTRating
HeavyGodG216145+282.177%1.44
KrabeniFUT Esports20115+991.773%1.32
SunPayusG218113+774.682%1.28
MATYSG216119+574.586%1.18
Dem0NFUT Esports12144-272.673%0.96
malbsMdG210113-150.864%0.91
cmtryFUT Esports11153-445.059%0.91
huNter-G211157-479.664%0.89
dziugssFUT Esports11133-250.255%0.79
lauNXFUT Esports6187-1263.268%0.63

Mirage

G2 9–13 FUT Esports
G21st half 7 · 2nd half 2CT 7/12 · T 2/10Pistols 1/2
FUT Esports1st half 5 · 2nd half 8CT 8/10 · T 5/12Pistols 1/2

FUT Esports came back from 5 rounds down (1–6) to win the map.

PlayerKDA+/−ADRKASTRating
lauNXFUT Esports28156+13125.586%1.94
KrabeniFUT Esports16154+176.477%1.36
cmtryFUT Esports20143+682.477%1.31
SunPayusG221161+581.768%1.19
dziugssFUT Esports13121+157.373%1.07
huNter-G212167-469.568%0.97
malbsMdG213173-457.464%0.85
HeavyGodG213175-478.468%0.83
MATYSG213179-472.173%0.71
Dem0NFUT Esports6167-1048.673%0.65

About FUT Esports vs G2

This BO3 Counter-Strike 2 match is part of Group A on the IEM circuit. G2 took the series 1–2. For head-to-head form and predicted lineups, see the head-to-head tool and the prediction model.