Xi Lai Gaming · Matchup

All opponents 15 teams

None TYL H2H · 2 maps 100T none in Stage 2 EDG none in Stage 2 FUT none in Stage 2 G2 none in Stage 2 GE none in Stage 2 JDG 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

How the two are built

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

same role mix Their most-used lineups have the same numbers of duelists, initiators, controllers and sentinels.

Dimension	XLG	TYL	Gap	Reading	Sample
Fewer wins by defuse	39%	41%	-2	Same	145 defence round wins
Opening kills spread	28%	39%	-11	Different	24 maps
Top fragger takes less	22%	24%	-2	Not settled	24 maps
Kills spread evenly	19.4	20.4	-1.0	Different	24 maps
Lower headshot %	31%	31%	-0	Same	19 maps
Fewer assists per 100 kills	37.5	41.0	-3.6	Not settled	24 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 XLG 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	same	1 of 6	3 of 6	Top fragger takes less
EDward Gaming	different	0 of 6	3 of 6	—
FUT Esports	same	4 of 6	1 of 6	More wins by defuse · Higher headshot % · More assists per 100 kills · Top fragger takes less
G2 Esports	different	2 of 6	3 of 6	Opening kills concentrated · Top fragger takes more
Global Esports	same	4 of 6	2 of 6	Fewer wins by defuse · More assists per 100 kills · Opening kills spread · Top fragger takes less
JD Gaming	same	3 of 6	1 of 6	Fewer wins by defuse · Higher headshot % · Fewer assists per 100 kills
Karmine Corp	different	2 of 6	2 of 6	Higher headshot % · Opening kills spread
LOUD	different	1 of 6	3 of 6	Fewer assists per 100 kills
Nongshim RedForce	same	3 of 6	2 of 6	More wins by defuse · Opening kills concentrated · Top fragger takes more
NRG	different	3 of 6	3 of 6	Fewer wins by defuse · Opening kills spread · Top fragger takes more
Paper Rex	different	5 of 6	1 of 6	Fewer wins by defuse · Higher headshot % · More assists per 100 kills · Opening kills concentrated · Top fragger takes more
T1	same	2 of 6	2 of 6	More wins by defuse · Top fragger takes less
Team Liquid	same	1 of 6	2 of 6	More assists per 100 kills
Team Vitality	same	3 of 6	3 of 6	Fewer assists per 100 kills · Opening kills spread · Top fragger takes more
TYLOO	same	2 of 6	2 of 6	Fewer wins by defuse · Lower headshot %

XLG vs TYL — head to head

1 of 1 series · 2 of 2 maps · last met 2026-07-25 4 of 5 current starters played in it

Stats in these games

Round win rate 47 rounds too close to call on this sample 57% 43%

Attack round win rate too close to call on this sample 45%22 attack rounds 32%25 attack rounds

Defense round win rate too close to call on this sample 68%25 defense rounds 55%22 defense rounds

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

XLG TYL

Estimate ranges

Round win rate-13 to +41 pts Attack round win rate-14 to +38 pts Defense round win rate-14 to +38 pts Pistol win rate-70 to +70 pts

Maps played

Breeze 13–8 2026-07-25 · XLG pick Lotus 14–12 2026-07-25 · TYL pick

Repeated veto choices in this matchup

Only one series played. No repeated veto choices.

Roster continuity

4 of XLG's 5 most-played starters appear in this H2H. Absent: NoMan. Weight the ladder above accordingly.

Pressure points

Differences supported by the teams' full samples.

Opening kills spread openers -11 pts

XLG 28% 24 maps TYL 39% 30 maps

← Opening kills spreadOpening kills concentrated →

gap -18 to -3 pts · bar length is each team's position on that axis against the sixteen-team field; the hairline is the field mean

% of team first-kills taken by its top entry

Players keep one role structure +8 pts

XLG 86% 24 maps TYL 78% 30 maps

← Players change rolesPlayers keep one role →

gap +0 to +15 · 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

Kills spread evenly texture -1.0

XLG 19.4 24 maps TYL 20.4 30 maps

← Kills spread evenlyKills concentrated →

gap -1.6 to -0.4 · bar length is each team's position on that axis against the sixteen-team field; the hairline is the field mean

kill-load concentration (100x Herfindahl over 5; even=20)

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

Estimate ranges

Opening kills spreadgap -18 to -3 ptsPlayers keep one rolegap +0 to +15Kills spread evenlygap -1.6 to -0.4

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

Players keep one agent mean share of a player's maps spent on their main agent

Separates teams; a stable read.

Karmine Corp 75% 21 maps

100 Thieves 74% 21 maps

Team Liquid 68% 27 maps

FUT Esports 61% 27 maps

LOUD 61% 31 maps

EDward Gaming 58% 22 maps

G2 Esports 58% 30 maps

Nongshim RedForce 57% 32 maps

NRG 53% 22 maps

Paper Rex 52% 18 maps

JD Gaming 52% 34 maps

Team Vitality 51% 19 maps

T1 51% 28 maps

TYLOO 46% 30 maps

Xi Lai Gaming 44% 24 maps

Global Esports 39% 29 maps

Bars run from the field low (39.2%) to high (75.2%); rows are ordered by value.