JK

JK — CS2 Stats

CK76561198034522442[U:1:74256714]Steam profile ↗✓ No bans

805Tracked matches57%Win rate2021Tracked since
CSDB Rating5.7 SolidAll-Rounder
FaceitLevel 3Top 90.6% of ranked FACEIT players
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. 60 days played since 4 Nov 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 16,892 -179 4 Nov5 Jul · 38 days played
14,58617,252peak 17,2524 Nov5 Jul
17,419Peak Premier in tracked matches
60Days played since 2025-11-04

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

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CSDB.GGJKFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim59
Positioning54
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY50473Last 10050%Win rateWLLWLLLWWL

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · +0.7pp headshot accuracy · −12ms reaction

Win rate −10pp 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

  • 23 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 583ms

Last 10

  • 46 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 582ms

Last 20

  • 9101 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 588ms

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: All-RounderNo style dimension stands clear of the others in this profile.

Aim5.9
Utility5.4
Positioning5.4
Opening Duels3.9

Strong CT-side opener

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 82% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

Areas to improve

T-side openings. Opening success drops from 54% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 593ms 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

Aim5.9
Positioning5.4
Utility5.4
Mechanics6.9
Opening Duels2.9
Win Impact7.4

Composite 5.7/10 (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 rating-0.02−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.02
Reaction time597ms+7ms
first ⅓ avg 590ms → last ⅓ avg 597ms
Headshot accuracy12.5%−2.2%
first ⅓ avg 14.7% → last ⅓ avg 12.5%

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

0.12Best match rating · 13–7 · ancient, 21 Dec
28%Best headshot accuracy · 4–13 · dust2, 20 Dec
422msFastest reaction time · 8–13 · inferno, 13 Jul
13–1Biggest win · nuke, 19 Feb

Across the last 100 tracked matches.

Highlights

7Longest win streak
96In matches decided by ≤2 rounds
12Overtime games

Map breakdown

mirageBest map · 71% over 7nukeWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
infernoS2618869%0.01
dust2D1551033%-0.01
ancientB158753%0.02
anubisC125742%-0.00
nukeD103730%-0.02
mirageS75271%0.02
overpassB63350%-0.02
trainD62433%-0.00
cache110100%0.00
sanctum1010%-0.08
poseidon1010%-0.22

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Skill profile

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

12.8%Headshot accuracy
34.6%Accuracy (enemy spotted)
31.5%Spray accuracy
80.9%Counter-strafing
9.8°Preaim
593msReaction time
29.7%T opening success
53.6%CT opening success
0.63Enemies flashed / flash
6.0%Flash assists
8.57HE damage / grenade
6.23Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.7902% — below the 15% mark we flag

    Aim Training
  2. 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 29.6609% — below the 40% mark we flag

Spend your practice time on Nuke

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–100.0023%13 Sept
nuke4–13-0.0914%23 Aug
inferno8–130.0425%23 Aug
anubis13–9-0.0210%23 Aug
inferno8–13-0.0310%19 Jul
inferno8–13-0.0314%13 Jul
anubis8–130.0010%11 Jul
dust216–13-0.0213%11 Jul
inferno13–9-0.028%9 Jul
dust23–13-0.059%5 Jul
nuke7–13-0.0414%28 Jun
nuke13–90.0310%28 Jun
sanctum4–9-0.0810%26 Jun
poseidon0–9-0.229%26 Jun
inferno13–8-0.0115%13 Jun
inferno13–110.0112%13 Jun
ancient15–15-0.0016%7 Jun
inferno13–7-0.0419%7 Jun
inferno13–50.0214%7 Jun
overpass8–13-0.0311%7 Jun
inferno15–150.0214%7 Jun
overpass13–7-0.0012%6 Jun
inferno13–80.0510%6 Jun
anubis13–2-0.048%6 Jun
anubis14–16-0.009%2 Jun
inferno13–110.0311%31 May
mirage13–10-0.026%31 May
dust29–13-0.0427%31 May
dust24–13-0.0611%30 May
dust29–13-0.0211%9 May
mirage13–80.0211%25 Apr
anubis13–11-0.057%24 Apr
mirage8–130.0511%12 Apr
nuke6–13-0.0213%4 Apr
anubis10–13-0.029%4 Apr
inferno13–110.0226%3 Apr
ancient13–60.0510%3 Apr
anubis10–130.039%31 Mar
inferno13–70.0316%30 Mar
dust25–13-0.0312%27 Mar
overpass9–13-0.048%27 Mar
nuke16–130.0113%26 Mar
inferno7–13-0.0316%25 Mar
inferno13–90.026%25 Mar
inferno13–50.0816%25 Mar
mirage10–130.0522%25 Mar
inferno16–120.0213%24 Mar
ancient10–13-0.0614%24 Mar
overpass13–9-0.0214%24 Mar
dust213–9-0.0317%24 Mar
inferno13–11-0.006%23 Mar
dust211–13-0.0215%21 Mar
ancient13–11-0.0513%20 Mar
dust213–60.0712%20 Mar
anubis16–140.0710%19 Mar
anubis6–13-0.037%7 Mar
nuke13–10.059%19 Feb
anubis13–4-0.006%19 Feb
inferno13–90.0914%18 Feb
mirage13–20.023%18 Feb
dust213–40.088%18 Feb
mirage13–40.0214%17 Feb
inferno13–90.0214%16 Feb
ancient6–13-0.0421%15 Feb
mirage13–11-0.0113%1 Feb
ancient6–130.0213%1 Feb
anubis12–160.0413%31 Jan
ancient9–130.0614%29 Jan
dust28–13-0.0218%26 Jan
anubis15–15-0.0311%26 Jan
inferno13–50.0417%25 Jan
inferno8–13-0.0310%22 Jan
ancient13–60.0611%4 Jan
inferno13–70.0213%4 Jan
dust26–13-0.0410%30 Dec
inferno10–13-0.0110%29 Dec
dust213–110.0112%25 Dec
ancient10–13-0.0211%24 Dec
ancient13–60.049%23 Dec
ancient13–40.0214%23 Dec
ancient11–13-0.014%22 Dec
dust23–13-0.0518%21 Dec
train13–50.0513%21 Dec
ancient13–70.1217%21 Dec
train11–130.045%21 Dec
overpass16–13-0.0119%21 Dec
nuke14–16-0.0112%21 Dec
inferno4–13-0.039%21 Dec
nuke4–13-0.0518%20 Dec
dust24–130.0128%20 Dec
nuke8–13-0.0326%14 Dec
nuke14–16-0.0316%11 Dec
train5–13-0.0713%11 Dec
inferno13–60.0616%10 Dec
train5–13-0.0113%7 Dec
ancient13–100.0221%7 Dec
train3–13-0.0122%3 Dec
ancient13–50.0718%2 Dec
overpass7–13-0.0511%24 Nov
train13–10-0.0126%4 Nov

Match data via Leetify.

Recent teammates

Milestones

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