All opponents 15 teams
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 itStats 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
← 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
← 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
← 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
Wins opening duels share of opening duels won
Varies more by map than by team.
Karmine Corp
57%
454 opening duels
TYLOO
56%
576 opening duels
Xi Lai Gaming
54%
391 opening duels
100 Thieves
53%
448 opening duels
T1
53%
576 opening duels
Team Vitality
52%
412 opening duels
NRG
52%
451 opening duels
FUT Esports
52%
580 opening duels
LOUD
51%
648 opening duels
Team Liquid
50%
559 opening duels
Global Esports
50%
624 opening duels
G2 Esports
50%
642 opening duels
Paper Rex
50%
415 opening duels
Nongshim RedForce
49%
677 opening duels
EDward Gaming
47%
385 opening duels
JD Gaming
46%
660 opening duels
Bars run from the field low (46.4%) to high (57.3%); rows are ordered by value.