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	TYL	Gap	Reading	Sample
Fewer wins by defuse	28%	41%	-13	Different	132 defence round wins
Opening kills spread	37%	39%	-2	Same	22 maps
Top fragger takes less	24%	24%	-0	Same	22 maps
Kills spread evenly	20.3	20.4	-0.1	Same	22 maps
Lower headshot %	29%	31%	-2	Different	18 maps
More assists per 100 kills	44.5	41.0	+3.4	Not settled	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	—

EDG vs TYL — head to head

0 of 1 series · 1 of 3 maps · last met 2026-07-15

Stats in these games

Round win rate 57 rounds too close to call on this sample 42% 58%

Attack round win rate too close to call on this sample 45%29 attack rounds 61%28 attack rounds

Defense round win rate too close to call on this sample 39%28 defense rounds 55%29 defense rounds

Pistol win rate pistols too close to call on this sample 4 of 6 2 of 6

EDG TYL

Estimate ranges

Round win rate-40 to +10 pts Attack round win rate-39 to +10 pts Defense round win rate-39 to +10 pts Pistol win rate-40 to +81 pts

Maps played

Sunset 8–13 2026-07-15 · EDG pick Breeze 13–7 2026-07-15 · TYL pick Lotus 3–13 2026-07-15 · decider

Repeated veto choices in this matchup

Only one series played. No repeated veto choices.

Pressure points

Differences supported by the teams' full samples.

Fewer wins by defuse how rounds end -13 pts

EDG 28% 132 defence round wins TYL 41% 173 defence round wins

← Fewer wins by defuseMore wins by defuse →

gap -25 to -1 pts · bar length is each team's position on that axis against the sixteen-team field; the hairline is the field mean

defence wins closed by defuse (retake identity)

Players keep one agent structure +13 pts

EDG 58% 22 maps TYL 46% 30 maps

← Players change agentsPlayers keep one agent →

gap +0 to +26 · 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 agent

Lower headshot % texture -2 pts

EDG 29% 18 maps TYL 31% 27 maps

← Lower headshot %Higher headshot % →

gap -5 to -0 pts · bar length is each team's position on that axis against the sixteen-team field; the hairline is the field mean

team headshot %

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

Estimate ranges

Fewer wins by defusegap -25 to -1 ptsPlayers keep one agentgap +0 to +26Lower headshot %gap -5 to -0 pts

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.