EDward Gaming · Matchup

All opponents 15 teams

None JDG H2H · 4 maps TYL H2H · 3 maps 100T none in Stage 2 FUT none in Stage 2 G2 none in Stage 2 GE none in Stage 2 KC none in Stage 2 LOUD none in Stage 2 NRG none in Stage 2 NS none in Stage 2 PRX none in Stage 2 T1 none in Stage 2 TL none in Stage 2 VIT none in Stage 2 XLG none in Stage 2

How the two are built

Agent roles and six team stats. 6 of the fingerprint's dimensions

different role mix Their most-used lineups have different numbers of duelists, initiators, controllers or sentinels.

Dimension	EDG	FUT	Gap	Reading	Sample
Fewer wins by defuse	28%	38%	-10	Not settled	132 defence round wins
Opening kills concentrated	37%	35%	+2	Same	22 maps
Top fragger takes more	24%	23%	+1	Same	22 maps
Kills concentrated	20.3	20.1	+0.2	Same	22 maps
Lower headshot %	29%	30%	-2	Not settled	18 maps
More assists per 100 kills	44.5	36.8	+7.6	Different	22 maps
“Not settled” means this sample does not separate the two values. The sample column is the smaller of the two teams' samples, in the unit that dimension counts, because a comparison is only as strong as its thinner side. These dimensions are not all independent: the structure ones restate how rigid a lineup is from different angles and move together, so read them as one family rather than as separate agreements.

How every other team is built against EDG 15 teams

Role mix = the number of duelists, initiators, controllers and sentinels in a lineup.

Team	Role mix	Same	Different	Which ones match
100 Thieves	different	4 of 6	1 of 6	Fewer wins by defuse · Opening kills spread · Top fragger takes more · Kills concentrated
FUT Esports	different	3 of 6	1 of 6	Opening kills concentrated · Top fragger takes more · Kills concentrated
G2 Esports	different	0 of 6	4 of 6	—
Global Esports	different	2 of 6	2 of 6	Higher headshot % · Kills concentrated
JD Gaming	different	3 of 6	2 of 6	Lower headshot % · Top fragger takes more · Kills concentrated
Karmine Corp	different	2 of 6	2 of 6	Top fragger takes more · Kills spread evenly
LOUD	different	4 of 6	2 of 6	Higher headshot % · Opening kills concentrated · Top fragger takes less · Kills spread evenly
Nongshim RedForce	different	0 of 6	2 of 6	—
NRG	same	1 of 6	2 of 6	Kills concentrated
Paper Rex	different	0 of 6	3 of 6	—
T1	different	2 of 6	2 of 6	Fewer wins by defuse · Opening kills concentrated
Team Liquid	different	4 of 6	1 of 6	Fewer wins by defuse · Lower headshot % · Opening kills concentrated · Top fragger takes less
Team Vitality	different	1 of 6	3 of 6	Kills concentrated
TYLOO	different	3 of 6	2 of 6	Opening kills spread · Top fragger takes less · Kills spread evenly
Xi Lai Gaming	different	0 of 6	3 of 6	—

Pressure points

Differences supported by the teams' full samples.

Uses unusual role mixes structure +43 pts

EDG 73% 22 maps FUT 30% 27 maps

← Uses the usual role mixUses unusual role mixes →

gap +22 to +64 · bar length is each team's position on that axis against the sixteen-team field; the hairline is the field mean

share of maps using a different role mix from the most common one on that map among the 16 teams

Players change roles structure -13 pts

EDG 75% 22 maps FUT 88% 27 maps

← Players change rolesPlayers keep one role →

gap -22 to -5 · bar length is each team's position on that axis against the sixteen-team field; the hairline is the field mean

mean share of a player's maps spent on their main class

More assists per 100 kills texture +7.6

EDG 44.5 22 maps FUT 36.8 27 maps

← Fewer assists per 100 killsMore assists per 100 kills →

gap +1.2 to +14.1 · bar length is each team's position on that axis against the sixteen-team field; the hairline is the field mean

assists per 100 kills (utility-dense play)

Bars show each team from the field low to high; the hairline marks the sixteen-team field mean.

Estimate ranges

Uses unusual role mixesgap +22 to +64Players change rolesgap -22 to -5More assists per 100 killsgap +1.2 to +14.1

EDG vs FUT: no head to head in Stage 2

They have not met inside VCT 2026 Stage 2, the scope every number on this site is drawn from. Any earlier meetings are outside it and are not counted here.

They have met outside this corpus

Shown for context only. These results are not in VCT 2026 Stage 2 and no number on this site counts them: not the ladder above, not the dimensions below, not the team's record.

W 2–1 EDG vs FUT 2026-06-13 · Valorant Masters London 2026 · Playoffs · Upper Quarterfinals · Bo3 Match page ↗

They have not met inside this corpus, and no substitute for that is offered. Compare their team-level dimensions below; no direct-match result is inferred.

One dimension at a time

Compare a stat across all sixteen teams.

Wins attack rounds Wins defence rounds Wins rounds Attack-sided Wins opening duels Opening kills concentrated Wins pistols More wins by elimination More wins by detonation More wins by defuse More wins on the clock More losses to detonation Converts more plants Wins more retakes Higher after a win Higher after 2+ losses Higher KAST Higher damage per round Higher headshot % More assists per 100 kills Kills concentrated Top fragger takes more Players keep one role Players keep one agent Repeats its role mix Uses unusual role mixes More distinct comps More role mixes Larger agent pool

Wins attack rounds attack round win%

This dimension does not separate teams. A team's position here moves between samples, so the order below is not a standing. It is shown because a flat dimension is a finding, and dimmed everywhere else on the site for the same reason.

Karmine Corp 60% 239 attack rounds

NRG 60% 197 attack rounds

TYLOO 57% 325 attack rounds

Team Vitality 57% 209 attack rounds

LOUD 56% 366 attack rounds

T1 55% 297 attack rounds

100 Thieves 55% 224 attack rounds

G2 Esports 55% 308 attack rounds

Nongshim RedForce 54% 354 attack rounds

Paper Rex 53% 203 attack rounds

Global Esports 52% 307 attack rounds

FUT Esports 51% 278 attack rounds

JD Gaming 51% 374 attack rounds

EDward Gaming 50% 225 attack rounds

Team Liquid 48% 279 attack rounds

Xi Lai Gaming 45% 233 attack rounds

Bars run from the field low (45.1%) to high (60.3%); rows are ordered by value.