Joken

Joken — CS2 Stats

CA76561198038732848[U:1:78467120]Steam profile ↗

914Tracked matches62%Win rate2020Tracked since
CSDB Rating6.9 SolidAggressive Rifler
Premier CS Rating15,986Purple band · top ~24.5% of ranked players (population est.)
CSDB Leaderboard#7880 of 12677 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGJokenFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER15,986 · Purple bandcsdb.gg/stats

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Performance scores

Aim77
Positioning60
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY49483Last 10049%Win rateWLWLWLWLWW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.7
Aggression8.2
Utility5.4
Positioning6.0
Opening Duels3.3

Excellent counter-strafing

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

Your pro match

b1t

Plays most like b1t 93% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: 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

Reaction time. 631ms 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

Aim7.7
Positioning6.0
Utility5.4
Mechanics8.7
Opening Duels3.3
Win Impact9.0

Composite 6.9/10 (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 rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time631ms−15ms
first ⅓ avg 646ms → last ⅓ avg 631ms
Headshot accuracy22.5%+1.9%
first ⅓ avg 20.6% → last ⅓ avg 22.5%

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.

Highlights

0.16Best rating — ancient 13–4
133Biggest win — ancient
8Longest win streak
611In matches decided by ≤2 rounds
12Overtime games

Map breakdown

ancientBest map · 57% over 14infernoWeakest map · 45% over 22
MapGradePlayedRecordWin rateAvg rating
infernoB22101245%0.00
nukeB189950%0.00
anubisA169756%0.01
overpassB157847%-0.00
ancientA148657%0.03
dust2B63350%-0.00
cacheB63350%-0.02
mirage3030%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (45% over 22). Start with the 6 essential Inferno 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.

23.0%Headshot accuracy
33.5%Accuracy (enemy spotted)
35.9%Spray accuracy
88.9%Counter-strafing
9.3°Preaim
631msReaction time
49.0%T opening success
37.4%CT opening success
0.61Enemies flashed / flash
6.9%Flash assists
9.19HE damage / grenade
5.14Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 37.4454% — below the 40% mark we flag

Spend your practice time on Inferno

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

45% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–70.0925%23 Aug
dust211–13-0.0520%23 Aug
inferno13–90.0218%23 Aug
dust27–130.0222%23 Aug
nuke13–11-0.0428%23 Aug
mirage8–130.0121%23 Aug
anubis13–5-0.0235%23 Aug
nuke8–130.0834%23 Aug
dust213–10-0.0231%22 Aug
cache13–50.0418%22 Aug
ancient6–130.0831%22 Aug
ancient8–13-0.0121%22 Aug
dust211–13-0.0036%22 Aug
anubis13–9-0.0121%12 Jul
cache13–10-0.015%12 Jul
inferno13–60.0221%12 Jul
nuke10–13-0.0513%11 Jul
cache15–15-0.0320%11 Jul
inferno4–13-0.0121%11 Jul
ancient13–10-0.0233%10 Jun
anubis13–4-0.0428%9 Jun
inferno11–13-0.0017%7 Jun
inferno13–70.0231%2 Jun
nuke11–13-0.0219%2 Jun
dust213–80.0229%1 Jun
inferno13–10-0.0127%26 May
overpass13–110.0418%26 May
nuke13–80.0918%26 May
ancient13–50.0222%26 May
ancient13–9-0.0611%24 May
inferno3–13-0.1012%24 May
nuke13–70.0618%24 May
inferno6–130.0117%24 May
inferno9–13-0.0115%24 May
mirage2–13-0.0121%24 May
cache13–5-0.0111%24 May
inferno13–7-0.0129%21 May
anubis6–13-0.0519%21 May
ancient16–140.0312%21 May
anubis16–130.0515%20 May
anubis11–13-0.0314%20 May
dust213–110.0121%19 May
nuke13–10-0.0330%19 May
mirage9–13-0.0222%19 May
overpass15–15-0.0319%17 May
nuke12–160.0031%17 May
overpass13–80.0223%17 May
ancient13–100.0425%17 May
inferno8–13-0.0419%17 May
inferno10–130.0415%17 May
cache9–13-0.0610%17 May
overpass13–10-0.0320%3 May
inferno10–13-0.0021%3 May
inferno11–13-0.0114%3 May
ancient13–40.1626%3 May
nuke4–13-0.0619%3 May
cache9–13-0.0421%3 May
overpass9–13-0.0515%26 Apr
inferno10–130.0432%26 Apr
nuke10–13-0.0215%26 Apr
overpass14–16-0.0420%5 Apr
overpass13–100.0016%5 Apr
overpass4–13-0.0020%5 Apr
nuke13–100.0234%5 Apr
anubis13–50.0420%4 Apr
ancient6–130.0613%4 Apr
nuke13–50.0918%4 Apr
inferno13–110.0224%4 Apr
ancient11–130.0414%4 Apr
nuke9–13-0.0419%4 Apr
overpass13–16-0.0617%27 Mar
anubis11–13-0.0820%27 Mar
overpass6–13-0.0415%23 Mar
anubis13–40.0724%23 Mar
inferno13–60.0520%23 Mar
anubis5–13-0.0217%22 Mar
inferno13–90.0331%22 Mar
ancient11–13-0.0233%22 Mar
inferno4–9-0.0828%22 Mar
ancient9–13-0.0114%22 Mar
anubis10–130.1318%22 Mar
anubis15–150.0414%22 Mar
overpass13–60.0819%22 Mar
overpass13–40.0617%18 Mar
overpass5–13-0.049%18 Mar
inferno13–100.0420%16 Mar
inferno10–130.0225%16 Mar
overpass14–160.0120%15 Mar
anubis5–13-0.0030%15 Mar
overpass13–60.0329%15 Mar
nuke16–130.0817%12 Mar
inferno16–130.0417%11 Mar
nuke16–14-0.0321%10 Mar
nuke13–8-0.0224%10 Mar
anubis13–40.0923%10 Mar
anubis13–7-0.0116%9 Mar
ancient13–30.0032%9 Mar
nuke10–13-0.0618%9 Mar
anubis13–100.0015%8 Mar
nuke8–130.0118%7 Mar

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 →