kkl

kkl — CS2 Stats

NO76561197960839960[U:1:574232]Steam profile ↗✓ No bans

1,248Tracked matches41%Win rate2020Tracked since
CSDB Rating4.6 DevelopingSupport
CSDB Leaderboard#3720 of 240069 tracked
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 41 days played since 7 Aug 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 27,514 +3,835 6 Sept31 Dec · 14 days played
23,67928,272peak 28,2726 Sept31 Dec
28,272Peak Premier in tracked matches
1,848Highest Faceit ELO seen on CSDB
41Days played since 2025-08-07

Faceit ELO

  • At peak — 1,848
  • Next: Level 10 at 2,001 153 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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CSDB.GGkklPEAK ELO1,848csdb.gg/stats

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Performance scores

Aim56
Positioning52
Utility65

0–100 skill scores via Leetify.

Recent form

COLD54433Last 10054%Win rateWLLLLLWLLL

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · −0.8pp headshot accuracy · −68ms 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

  • 14 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 525ms

Last 10

  • 28 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 525ms

Last 20

  • 416 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 559ms

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: SupportUtility contribution stands above the rest of this profile (+2.2 against its own average).

Aim5.6
Utility6.5
Positioning5.2
Opening Duels0.9
Clutch4.8

Effective flashes

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

Twistzz

Plays most like Twistzz 72% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; lower aim profile.

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

Strengths

Flashes. 0.76 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 559ms 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

Aim5.6
Positioning5.2
Utility6.5
Mechanics5.6
Opening Duels1.2
Win Impact2.1

Composite 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time567ms−11ms
first ⅓ avg 578ms → last ⅓ avg 567ms
Headshot accuracy17.2%+0.1%
first ⅓ avg 17.1% → last ⅓ avg 17.2%

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

0.10Best match rating · 13–1 · train, 30 Aug
50%Best headshot accuracy · 0–3 · nuke, 24 Oct
359msFastest reaction time · 13–6 · ancient, 11 Sept
13–1Biggest win · train, 30 Aug

Across the last 100 tracked matches.

Highlights

7Longest win streak
1015In matches decided by ≤2 rounds
12Overtime games

Map breakdown

trainBest map · 80% over 10dust2Weakest map · 38% over 16
MapGradePlayedRecordWin rateAvg rating
nukeB23121152%0.00
ancientB22111150%0.00
dust2C1661038%0.01
infernoS1410471%-0.00
trainS108280%0.00
overpassA95456%0.00
cache_b2020%-0.04
vertigo1010%0.04
cache1010%0.02
anubis110100%-0.01
mirage110100%-0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

688Matches
53%Win rate
1.07Avg K/D
79.8ADR
43%Headshot %

Clutches & streaks

44%1v1 clutch win
23%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Ancient5751%1.0115.0
Nuke5661%1.1415.9
Dust23050%1.0815.6
Anubis2462%1.0614.4
Inferno2065%0.9912.6
Vertigo1650%1.0214.3
Train1283%1.2015.6
Overpass1040%1.1118.3

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.

16.9%Headshot accuracy
29.2%Accuracy (enemy spotted)
34.5%Spray accuracy
75.1%Counter-strafing
10.1°Preaim
559msReaction time
26.9%T opening success
39.7%CT opening success
0.76Enemies flashed / flash
11.7%Flash assists
9.79HE damage / grenade
9.35Flashes / 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 26.9209% — below the 40% mark we flag

Spend your practice time on Dust 2

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

38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–60.0120%11 Sept
vertigo11–130.048%6 Sept
dust214–160.0110%6 Sept
cache11–130.0217%6 Sept
nuke2–13-0.0121%6 Sept
dust27–13-0.0321%1 Sept
nuke13–4-0.0112%1 Sept
nuke14–16-0.0211%8 Jan
dust27–13-0.0421%8 Jan
dust27–130.0218%6 Jan
ancient11–13-0.0727%6 Jan
nuke11–13-0.0315%4 Jan
dust213–80.0518%4 Jan
nuke6–13-0.0217%31 Dec
overpass5–13-0.0615%31 Dec
inferno13–110.0117%31 Dec
nuke11–13-0.0114%16 Dec
inferno4–13-0.0519%4 Dec
nuke4–130.0014%4 Dec
overpass8–130.0411%3 Dec
overpass13–90.0022%29 Nov
train13–9-0.0220%29 Nov
ancient15–150.0421%29 Nov
inferno13–30.0821%23 Nov
nuke13–80.0115%23 Nov
inferno13–110.0626%23 Nov
ancient13–11-0.0518%13 Nov
inferno11–13-0.0113%10 Nov
ancient13–100.0419%10 Nov
anubis13–8-0.0112%31 Oct
ancient13–50.0220%31 Oct
train14–16-0.0413%31 Oct
dust28–130.0424%24 Oct
ancient4–13-0.0024%24 Oct
train13–110.047%24 Oct
ancient9–13-0.0716%24 Oct
train16–13-0.0014%24 Oct
nuke0–3-0.0450%24 Oct
cache_b2–13-0.0516%22 Oct
nuke13–90.0313%22 Oct
dust217–190.0715%22 Oct
cache_b7–13-0.0222%22 Oct
ancient13–11-0.0416%22 Oct
ancient13–110.0516%17 Oct
inferno15–150.0224%17 Oct
overpass13–9-0.0218%9 Oct
ancient9–130.0326%9 Oct
dust211–130.0218%7 Oct
nuke13–70.0316%6 Oct
ancient13–100.0020%6 Oct
nuke13–60.028%5 Oct
train13–7-0.0024%5 Oct
mirage13–5-0.0017%3 Oct
dust213–70.0821%3 Oct
nuke15–150.0418%3 Oct
train9–13-0.0613%28 Sept
overpass13–80.0515%28 Sept
overpass6–00.0733%28 Sept
nuke13–60.0019%28 Sept
overpass11–13-0.0324%26 Sept
inferno13–8-0.0515%25 Sept
ancient7–13-0.0717%25 Sept
nuke7–130.0514%23 Sept
ancient10–130.0515%21 Sept
inferno13–100.0213%21 Sept
nuke13–2-0.0418%21 Sept
ancient10–130.0720%21 Sept
overpass11–13-0.0219%20 Sept
dust211–13-0.0119%20 Sept
ancient13–110.0011%20 Sept
nuke13–100.0630%19 Sept
train13–11-0.0321%19 Sept
ancient13–50.0723%19 Sept
nuke13–60.0220%18 Sept
inferno16–12-0.0110%18 Sept
dust213–50.0318%14 Sept
nuke10–130.0318%14 Sept
ancient16–12-0.046%11 Sept
dust213–5-0.0211%11 Sept
inferno13–9-0.0215%11 Sept
dust26–13-0.0223%11 Sept
nuke10–13-0.0111%11 Sept
ancient6–130.0019%11 Sept
dust213–60.0415%6 Sept
train13–10.1022%30 Aug
inferno13–40.0118%30 Aug
train13–50.0117%25 Aug
nuke13–11-0.004%19 Aug
inferno13–10-0.0610%19 Aug
ancient2–30.0938%19 Aug
train13–30.0117%18 Aug
ancient9–13-0.0213%18 Aug
dust213–8-0.0310%17 Aug
nuke16–130.058%17 Aug
inferno6–13-0.0226%9 Aug
overpass13–8-0.0224%9 Aug
nuke16–14-0.049%7 Aug
ancient13–5-0.0022%7 Aug
inferno13–3-0.0216%7 Aug
dust27–13-0.0022%7 Aug

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →