KJK

KJK — CS2 Stats

76561197976464241[U:1:16198513]Steam profile ↗✓ No bans

958Tracked matches57%Win rate2020Tracked since
CSDB Rating6.4 SolidPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Oct 2026 (16 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,451 → 2,451
+1Tracked matches · now 958
0.0ppWin rate · 56.7% → 56.7%

Rating over time

Premier CS Rating: 26,550 +1,803 10 Nov – 12 Dec · 2 days played
24,74726,550peak 26,55010 Nov12 Dec
Faceit ELO: 2,451 +0 31 Aug – 19 Oct · 4 observations
2,4512,451peak 2,45131 Aug19 Oct
26,550Peak Premier in tracked matches
2,451Highest Faceit ELO seen on CSDB
57Days played since 2023-06-26

Faceit ELO

  • At peak — 2,451
  • 0 over 30 days · steady
  • Next: 2,500 ELO at 2,500 — 49 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-08-31
  • Level 9 first seen 2026-08-31

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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CSDB.GGKJK30 DAYS0 ELOPEAK ELO2,451csdb.gg/stats

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Performance scores

Aim81
Positioning56
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY60–40Last 10060%Win rateWLLWLWWLLW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +0.1pp headshot accuracy · +18ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 622ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 574ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 565ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.4 against its own average).

Aim8.1
Utility4.5
Positioning5.6
Opening Duels3.9
Clutch2.6

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

b1t

Plays most like b1t 94% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower utility contribution.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 53% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 564ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim8.1
Positioning5.6
Utility4.5
Mechanics7.5
Opening Duels2.9
Win Impact7.2

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time567ms+42ms
first ⅓ avg 525ms → last ⅓ avg 567ms
Headshot accuracy20.2%+4.9%
first ⅓ avg 15.3% → last ⅓ avg 20.2%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.20Best match rating · 9–4 · mirage, 1 Sept →
31%Best headshot accuracy · 13–11 · train, 18 May →
391msFastest reaction time · 13–7 · inferno, 16 Oct →
16–2Biggest win · nuke, 27 Jun →

Across the last 100 tracked matches.

Highlights

10Longest win streak
12–5In matches decided by ≤2 rounds
48Overtime games

Map breakdown

trainBest map · 100% over 5overpassWeakest map · 44% over 9
MapGradePlayedRecordWin rateAvg rating
infernoA2415–963%0.02
mirageA2313–1057%0.03
nukeS2014–670%0.02
overpassC94–544%-0.01
vertigoS75–271%-0.01
trainS55–0100%0.06
ancient—41–325%-0.01
dust2—32–167%0.01
anubis—31–233%0.01
cache—10–10%0.04
cbble—10–10%0.02

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,038Matches
50%Win rate
1.18Avg K/D
82.5ADR
48%Headshot %

Clutches & streaks

33%1v1 clutch win
25%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage11747%1.1617.8
Inferno10764%1.2216.9
Nuke8062%1.1515.3
Train1953%1.2118.3
Overpass1937%1.0216.9
Dust2944%1.1116.7
Ancient838%1.1916.4
Vertigo475%1.3518.3

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

20.3%Headshot accuracy
35.1%Accuracy (enemy spotted)
38.0%Spray accuracy
83.6%Counter-strafing
8.6°Preaim
564msReaction time
30.6%T opening success
52.7%CT opening success
0.66Enemies flashed / flash
13.6%Flash assists
11.74HE damage / grenade
11.46Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 30.5727% — below the 40% mark we flag

Spend your practice time on Overpass

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–80.0321%4 Jul →
overpass15–19-0.0127%4 Jul →
mirage3–13-0.0826%3 Jul →
nuke13–8-0.0115%3 Jul →
mirage13–16-0.0419%14 Jan →
inferno13–60.0414%7 Jan →
dust213–70.0314%15 Dec →
mirage10–13-0.0621%8 Dec →
overpass13–16-0.0415%17 Nov →
nuke13–80.0623%24 Oct →
mirage7–13-0.0118%21 Oct →
inferno13–70.029%16 Oct →
inferno6–13-0.0421%14 Oct →
nuke13–9-0.0318%9 Oct →
nuke9–130.0118%1 Oct →
overpass8–13-0.0229%1 Oct →
inferno13–70.0518%2 Sept →
mirage11–13-0.0013%2 Sept →
overpass13–2-0.0023%18 Jul →
inferno13–30.0725%17 Jul →
inferno5–13-0.0726%17 Jul →
dust27–13-0.0127%3 Jun →
train16–140.0024%1 Jun →
train13–100.0617%29 May →
ancient11–13-0.0016%22 May →
train13–30.1324%21 May →
mirage13–70.2021%21 May →
inferno13–30.0719%18 May →
train13–110.0231%18 May →
mirage13–100.0520%15 May →
mirage13–70.0517%5 May →
nuke11–13-0.0219%30 Apr →
mirage22–190.0222%26 Apr →
nuke9–13-0.0515%16 Apr →
inferno13–11-0.0717%15 Apr →
dust213–70.0119%18 Mar →
inferno11–13-0.0125%22 Jan →
nuke13–110.0525%12 Dec →
anubis13–50.1225%20 Nov →
train5–20.0822%20 Nov →
inferno13–40.0926%10 Nov →
inferno13–100.0130%2 Sept →
nuke13–50.0823%12 Aug →
mirage13–90.0323%12 Aug →
mirage5–13-0.0128%12 Aug →
inferno5–13-0.0430%4 Aug →
nuke13–50.0421%28 Sept →
nuke13–00.0124%27 Sept →
nuke3–13-0.0827%7 Sept →
vertigo13–1-0.0121%5 Sept →
nuke13–11-0.0022%5 Sept →
nuke13–30.1221%5 Sept →
mirage13–40.036%5 Sept →
inferno13–70.0112%2 Sept →
overpass13–60.0329%2 Sept →
ancient13–50.0418%2 Sept →
mirage9–40.2021%1 Sept →
mirage19–170.0214%10 Aug →
inferno16–70.1125%10 Aug →
mirage13–16-0.038%24 Jul →
nuke6–160.0814%23 Jul →
nuke6–160.0814%23 Jul →
vertigo7–16-0.0214%22 Jul →
overpass16–10-0.0515%22 Jul →
nuke16–140.0111%22 Jul →
mirage16–120.0213%22 Jul →
inferno12–160.068%22 Jul →
mirage16–14-0.0016%22 Jul →
vertigo19–170.0011%21 Jul →
anubis14–16-0.0119%21 Jul →
vertigo16–70.0320%21 Jul →
inferno8–160.0113%21 Jul →
nuke16–130.008%21 Jul →
inferno16–30.1219%20 Jul →
mirage16–70.0313%19 Jul →
nuke16–120.0021%19 Jul →
vertigo16–14-0.0113%19 Jul →
ancient11–16-0.0614%19 Jul →
overpass13–16-0.0219%19 Jul →
ancient13–16-0.0211%17 Jul →
cache12–160.0418%17 Jul →
cbble13–160.027%17 Jul →
inferno19–17-0.0212%9 Jul →
anubis9–16-0.0920%9 Jul →
inferno11–160.0224%7 Jul →
overpass16–140.0520%7 Jul →
inferno16–130.0319%7 Jul →
overpass13–16-0.0111%6 Jul →
mirage16–50.1919%6 Jul →
inferno19–160.0815%6 Jul →
mirage15–190.0311%6 Jul →
nuke16–7-0.0212%6 Jul →
mirage19–220.0214%4 Jul →
vertigo16–70.0117%3 Jul →
mirage4–16-0.0213%27 Jun →
nuke16–20.0912%27 Jun →
inferno10–15-0.0110%27 Jun →
vertigo10–16-0.0412%27 Jun →
mirage16–120.0222%26 Jun →
inferno10–16-0.0216%26 Jun →

Match data via Leetify.

Recent teammates

Milestones

2K ELO500 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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