LK

LK — CS2 Stats

76561198086035601[U:1:125769873]Steam profile ↗✓ No bans

4,903Tracked matches53%Win rate2021Tracked since
CSDB Rating7.1 StrongPositional Player
Premier CS Rating24,453Top 25% of 204,316 CSDB-tracked playersPink band · top ~3.6% of ranked players (population est.)
CSDB Leaderboard#27188 of 251375 tracked
FaceitLevel 9 · 1,689 ELOTop 20.7% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 24,453 +2,893 22 Jul – 12 Oct · 32 days played
21,18924,453peak 24,45322 Jul12 Oct
24,453Peak Premier in tracked matches
1,689Highest Faceit ELO seen on CSDB
52Days played since 2026-07-22

Faceit ELO

  • At peak — 1,689
  • Next: Level 9 at 1,751 — 62 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-20
  • Level 7 first seen 2026-09-20

Premier CS Rating

  • At peak — 24,453
  • +2,312 over 30 days · improving
  • +2,893 over 90 days
  • Next: Red band at 25,000 — 547 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-20
  • Purple band first seen 2026-09-20

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.

Share this profile

CSDB.GGLKFACEITLevel 9 · 1,689 ELOSTANDINGTop 20.7% of rankedPREMIER24,453 · Pink bandPEAK ELO1,689csdb.gg/stats

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Performance scores

Aim80
Positioning69
Utility58

0–100 skill scores via Leetify.

Recent form

HOT55–42–3Last 10055%Win rateWWWLWWWWLL

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating · −2.6pp headshot accuracy · −6ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 24%
  • Avg reaction 550ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 24%
  • Avg reaction 549ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 25%
  • Avg reaction 551ms

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 (+1.5 against its own average).

Aim8.0
Utility5.8
Positioning6.9
Opening Duels4.9
Clutch4.2

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

jL

Plays most like jL 91% playstyle similarity

Most alike: utility contribution, positioning profile.

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

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

T openings. 69% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 69% on T to 51% on CT — first contacts on the defending side are being lost.

Reaction time. 555ms 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

Aim8.0
Positioning6.9
Utility5.8
Mechanics6.6
Opening Duels7.4
Win Impact6.1

Composite 7.1/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.03
first ⅓ avg -0.01 → last ⅓ avg 0.02
Reaction time550ms−63ms
first ⅓ avg 613ms → last ⅓ avg 550ms
Headshot accuracy23.0%−0.0%
first ⅓ avg 23.0% → last ⅓ avg 23.0%

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

0.15Best match rating · 9–0 · nuke, 4 Sept →
46%Best headshot accuracy · 6–13 · mirage, 24 Jul →
383msFastest reaction time · 3–13 · nuke, 19 Aug →
13–1Biggest win · nuke, 12 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W3Current streak
11–7In matches decided by ≤2 rounds
14Overtime games

Map breakdown

anubisBest map · 63% over 16ancientWeakest map · 44% over 9
MapGradePlayedRecordWin rateAvg rating
nukeA2715–1256%0.01
infernoA1710–759%0.01
dust2B178–947%0.00
anubisA1610–663%0.02
mirageA106–460%0.02
ancientC94–544%-0.00
overpass—10–10%-0.12
train—11–0100%0.15
vertigo—10–10%0.00
cache—11–0100%0.04

Across the last 100 tracked matches.

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

Faceit stats

Combat

1,630Matches
51%Win rate
1.03Avg K/D
80.3ADR
53%Headshot %

Clutches & streaks

41%1v1 clutch win
22%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Dust223348%1.0715.8
Nuke22255%1.0716.5
Inferno20056%1.2316.3
Ancient17750%1.0516.3
Anubis16356%1.0916.9
Mirage12347%0.9613.7
Overpass6650%1.1716.7
Train2642%0.9414.5

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.

23.4%Headshot accuracy
35.1%Accuracy (enemy spotted)
36.7%Spray accuracy
79.7%Counter-strafing
9.3°Preaim
555msReaction time
69.0%T opening success
50.6%CT opening success
0.47Enemies flashed / flash
10.1%Flash assists
7.81HE damage / grenade
12.92Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4704 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Ancient

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.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–80.0623%12 Oct →
nuke13–10.1322%12 Oct →
inferno13–90.0125%12 Oct →
dust210–130.0625%11 Oct →
dust213–80.0624%10 Oct →
inferno13–100.0520%10 Oct →
dust213–70.1021%9 Oct →
ancient13–110.0921%7 Oct →
inferno2–13-0.0927%7 Oct →
nuke5–130.0532%6 Oct →
nuke13–90.0117%3 Oct →
inferno8–13-0.0126%1 Oct →
mirage8–130.0628%30 Sept →
anubis11–130.0121%30 Sept →
mirage13–100.0829%29 Sept →
dust213–80.0033%28 Sept →
dust213–80.1029%28 Sept →
ancient13–4-0.0038%28 Sept →
nuke4–13-0.0316%27 Sept →
inferno4–13-0.0328%27 Sept →
dust23–13-0.0419%27 Sept →
mirage13–100.0416%26 Sept →
dust28–13-0.0628%26 Sept →
anubis13–50.0830%26 Sept →
anubis7–130.0130%25 Sept →
dust210–13-0.0920%25 Sept →
ancient7–13-0.0512%25 Sept →
ancient11–13-0.0717%24 Sept →
anubis13–90.0111%24 Sept →
dust216–14-0.0121%23 Sept →
mirage13–70.0318%23 Sept →
mirage13–60.0911%23 Sept →
nuke13–110.0520%22 Sept →
dust211–130.0522%22 Sept →
nuke7–13-0.0310%20 Sept →
anubis13–90.0819%20 Sept →
nuke9–130.0323%18 Sept →
nuke9–13-0.0418%17 Sept →
anubis14–16-0.0124%15 Sept →
dust212–16-0.0323%12 Sept →
inferno13–4-0.0327%11 Sept →
dust25–13-0.0118%5 Sept →
nuke13–30.0117%5 Sept →
nuke9–00.1525%4 Sept →
nuke16–140.0420%1 Sept →
anubis13–80.1218%1 Sept →
inferno13–50.0316%1 Sept →
inferno9–130.0428%31 Aug →
nuke13–110.0525%31 Aug →
inferno16–130.0726%30 Aug →
dust213–60.0321%30 Aug →
mirage13–100.0313%27 Aug →
nuke11–130.0026%27 Aug →
inferno12–16-0.0126%27 Aug →
nuke16–140.0033%26 Aug →
anubis13–7-0.0611%25 Aug →
inferno13–80.0729%25 Aug →
overpass2–8-0.1240%25 Aug →
train13–30.1534%24 Aug →
anubis13–6-0.0528%24 Aug →
dust213–16-0.0221%24 Aug →
nuke13–90.0631%23 Aug →
vertigo12–120.0030%23 Aug →
nuke3–13-0.0420%19 Aug →
inferno7–130.0018%17 Aug →
ancient13–16-0.0329%16 Aug →
anubis13–80.1426%16 Aug →
mirage9–13-0.0519%15 Aug →
inferno13–110.0324%15 Aug →
nuke15–150.0414%15 Aug →
dust213–10-0.0028%15 Aug →
dust25–13-0.0514%14 Aug →
cache13–70.0430%14 Aug →
nuke13–11-0.0015%14 Aug →
ancient13–70.0122%14 Aug →
anubis13–70.0319%11 Aug →
nuke16–14-0.0518%11 Aug →
mirage8–13-0.0621%11 Aug →
anubis17–190.0223%10 Aug →
inferno16–120.0228%10 Aug →
ancient9–130.0427%10 Aug →
dust213–6-0.0319%9 Aug →
nuke8–13-0.0525%9 Aug →
nuke13–110.0626%9 Aug →
anubis7–13-0.088%8 Aug →
nuke15–15-0.0133%7 Aug →
inferno13–70.0029%6 Aug →
nuke13–80.0217%6 Aug →
nuke7–13-0.0733%4 Aug →
nuke13–9-0.0341%3 Aug →
anubis13–6-0.0624%3 Aug →
nuke13–11-0.0416%2 Aug →
ancient4–13-0.0419%26 Jul →
mirage13–4-0.0121%26 Jul →
inferno8–130.0416%25 Jul →
anubis2–13-0.0322%25 Jul →
mirage6–130.0246%24 Jul →
ancient13–80.0214%23 Jul →
inferno13–80.0122%23 Jul →
nuke11–13-0.0027%22 Jul →

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 →

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