JD Gaming · Matchup · playbyplay

All opponents 15 teams

None TYL H2H · 9 maps EDG H2H · 4 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	JDG	KC	Gap	Reading	Sample
Fewer wins by defuse	42%	52%	-9	Not settled	122 defence round wins
Opening kills concentrated	33%	30%	+3	Same	21 maps
Top fragger takes less	23%	23%	-0	Same	21 maps
Kills spread evenly	20.2	20.4	-0.2	Not settled	21 maps
Lower headshot %	30%	30%	-1	Same	21 maps
More assists per 100 kills	38.7	34.6	+4.1	Not settled	21 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 JDG 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	2 of 6	2 of 6	Top fragger takes more · Kills concentrated
EDward Gaming	different	3 of 6	2 of 6	Higher headshot % · Top fragger takes less · Kills spread evenly
FUT Esports	same	6 of 6	0 of 6	More wins by defuse · Lower headshot % · More assists per 100 kills · Opening kills spread · Top fragger takes more · Kills concentrated
G2 Esports	different	1 of 6	2 of 6	Kills concentrated
Global Esports	same	3 of 6	0 of 6	Fewer wins by defuse · Opening kills concentrated · Kills concentrated
Karmine Corp	different	3 of 6	0 of 6	Lower headshot % · Opening kills concentrated · Top fragger takes less
LOUD	different	3 of 6	0 of 6	Fewer wins by defuse · Fewer assists per 100 kills · Opening kills spread
Nongshim RedForce	same	2 of 6	1 of 6	Fewer assists per 100 kills · Kills concentrated
NRG	different	3 of 6	2 of 6	More wins by defuse · Opening kills concentrated · Kills concentrated
Paper Rex	different	3 of 6	0 of 6	More wins by defuse · Lower headshot % · Kills concentrated
T1	same	3 of 6	2 of 6	Fewer assists per 100 kills · Opening kills spread · Top fragger takes more
Team Liquid	same	5 of 6	0 of 6	Higher headshot % · More assists per 100 kills · Opening kills spread · Top fragger takes less · Kills concentrated
Team Vitality	same	3 of 6	1 of 6	Fewer assists per 100 kills · Opening kills concentrated · Kills concentrated
TYLOO	same	2 of 6	0 of 6	More wins by defuse · Top fragger takes less
Xi Lai Gaming	same	3 of 6	1 of 6	More wins by defuse · Lower headshot % · More assists per 100 kills

Pressure points

Differences supported by the teams' full samples.

Players change agents structure -24 pts

JDG 52% 34 maps KC 75% 21 maps

← Players change agentsPlayers keep one agent →

gap -35 to -13 · 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

Changes its role mix structure -20 pts

JDG 47% 34 maps KC 67% 21 maps

← Changes its role mixRepeats its role mix →

gap -39 to -0 · 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 their most common role mix: the number of duelists, initiators, controllers and sentinels

Larger agent pool structure +5.0

JDG 16.4 34 maps KC 11.4 21 maps

← Smaller agent poolLarger agent pool →

gap +1.1 to +8.9 · bar length is each team's position on that axis against the sixteen-team field; the hairline is the field mean

distinct agents fielded, resampled to a common exposure

More distinct comps structure +4.2

JDG 8.8 34 maps KC 4.6 21 maps

← Fewer distinct compsMore distinct comps →

gap +1.1 to +7.2 · bar length is each team's position on that axis against the sixteen-team field; the hairline is the field mean

distinct 5-agent comps, resampled to a common exposure

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

Estimate ranges

Players change agentsgap -35 to -13Changes its role mixgap -39 to -0Larger agent poolgap +1.1 to +8.9More distinct compsgap +1.1 to +7.2

JDG vs KC: 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 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

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.