JoaKeR

JoaKeR — CS2 Stats

NO76561198151961278[U:1:191695550]Steam profile ↗✓ No bans

704Tracked matches48%Win rate2023Tracked since
CSDB Rating3.6 LearningSupport
Premier CS Rating19,039Top 50% of 180,525 CSDB-tracked playersPurple band · top ~12.3% of ranked players (population est.)
CSDB Leaderboard#86322 of 224067 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

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

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 28 days played since 13 Feb 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 19,039 +2,488 19 Aug16 Sept · 12 days played
16,55119,039peak 19,03919 Aug16 Sept
19,259Peak Premier in tracked matches
28Days played since 2026-02-13

Premier CS Rating

  • At peak — 19,039
  • +2,488 over 30 days · improving
  • Next: Pink band at 20,000 961 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-10
  • Blue band first seen 2026-09-10

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.GGJoaKeRFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER19,039 · Purple bandcsdb.gg/stats

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Performance scores

Aim40
Positioning26
Utility51

0–100 skill scores via Leetify.

Recent form

COLD45496Last 10045%Win rateLWLWLLLLLW

Last 10 vs previous 10: −30pp win rate · −0.00 avg rating · +1.0pp headshot accuracy · +8ms reaction

Win rate down 30pp 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

  • 23 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 12%
  • Avg reaction 722ms

Last 10

  • 37 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 675ms

Last 20

  • 9101 · 45% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 671ms

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 (+1.9 against its own average).

Aim4.0
Utility5.1
Positioning2.6
Opening Duels0.0
Clutch5.0

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 75% 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

Reaction time. 677ms 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

Aim4.0
Positioning2.6
Utility5.1
Mechanics4.8
Opening Duels0.0
Win Impact4.4

Composite 3.6/10 (Learning), 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-0.04−0.00
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time684ms−69ms
first ⅓ avg 753ms → last ⅓ avg 684ms
Headshot accuracy14.8%−0.2%
first ⅓ avg 15.0% → last ⅓ avg 14.8%

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 · 13–5 · cache, 19 Aug
30%Best headshot accuracy · 12–12 · overpass, 12 Mar
422msFastest reaction time · 7–5 · anubis, 2 Sept
13–1Biggest win · dust2, 9 Sept

Across the last 100 tracked matches.

Highlights

5Longest win streak
67In matches decided by ≤2 rounds
3Overtime games

Map breakdown

anubisBest map · 64% over 14dust2Weakest map · 29% over 17
MapGradePlayedRecordWin rateAvg rating
cacheC27121544%-0.03
dust2D1751229%-0.04
mirageB168850%-0.02
anubisA149564%-0.04
infernoB84450%-0.03
ancientA74357%-0.07
nuke41325%-0.04
overpass32167%-0.03
office2020%-0.04
vertigo1010%-0.04
train1010%-0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

49Matches
45%Win rate
0.84Avg K/D
65.8ADR
41%Headshot %

Clutches & streaks

45%1v1 clutch win
20%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1155%0.9613.1
Inferno944%0.8912.9
Anubis743%0.8411.6
Cache650%0.7411.8
Dust250%0.7113.2
Vertigo3100%0.8011.0
Train333%1.0615.3
Ancient333%0.5310.0

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.

14.2%Headshot accuracy
29.7%Accuracy (enemy spotted)
34.8%Spray accuracy
71.8%Counter-strafing
10.0°Preaim
677msReaction time
15.9%T opening success
18.3%CT opening success
0.55Enemies flashed / flash
3.5%Flash assists
9.34HE damage / grenade
6.39Flashes / 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 14.1938% — 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 15.8955% — 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.

29% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient8–13-0.113%17 Sept
cache13–10-0.0012%16 Sept
cache6–13-0.0511%16 Sept
cache13–7-0.0510%16 Sept
cache9–13-0.0327%16 Sept
nuke18–22-0.009%15 Sept
cache7–13-0.0511%14 Sept
dust25–13-0.0614%14 Sept
nuke8–13-0.0426%14 Sept
anubis13–50.0115%12 Sept
ancient13–11-0.037%12 Sept
mirage13–50.0226%12 Sept
nuke13–7-0.0312%12 Sept
cache13–11-0.0417%12 Sept
dust213–16-0.0313%12 Sept
anubis13–50.026%12 Sept
anubis1–13-0.0819%9 Sept
inferno13–8-0.0519%9 Sept
cache9–13-0.105%9 Sept
cache15–15-0.055%9 Sept
cache5–13-0.0317%9 Sept
mirage13–8-0.0417%9 Sept
dust213–1-0.0417%9 Sept
anubis13–6-0.0915%9 Sept
dust28–130.0321%6 Sept
inferno10–13-0.0319%6 Sept
mirage5–13-0.0711%6 Sept
dust29–13-0.0720%6 Sept
dust213–40.0122%6 Sept
anubis13–3-0.0514%6 Sept
mirage13–10-0.0324%3 Sept
dust25–13-0.0717%3 Sept
ancient13–11-0.038%3 Sept
dust26–13-0.0214%2 Sept
mirage11–13-0.0711%2 Sept
dust210–13-0.0724%2 Sept
anubis13–6-0.0516%2 Sept
anubis11–13-0.104%2 Sept
anubis7–50.0011%2 Sept
mirage13–90.0213%26 Aug
cache10–13-0.0219%26 Aug
ancient13–10-0.0218%26 Aug
inferno13–9-0.105%26 Aug
anubis9–13-0.0418%24 Aug
mirage2–13-0.0713%24 Aug
dust213–9-0.0220%24 Aug
cache13–6-0.1017%24 Aug
mirage13–11-0.0412%24 Aug
cache13–9-0.049%20 Aug
anubis13–9-0.0320%20 Aug
inferno4–130.0128%20 Aug
cache13–7-0.0229%19 Aug
mirage13–1-0.0218%19 Aug
cache5–130.0813%19 Aug
cache13–50.1020%19 Aug
anubis13–10-0.0119%18 Aug
mirage8–13-0.066%18 Aug
ancient6–13-0.086%18 Aug
anubis13–7-0.0127%18 Aug
cache13–10-0.0515%18 Aug
dust213–6-0.0917%18 Aug
nuke11–13-0.1123%18 Aug
inferno8–13-0.0220%18 Aug
ancient10–13-0.105%12 Aug
mirage13–100.0614%12 Aug
anubis7–13-0.084%12 Aug
mirage10–13-0.0324%12 Aug
dust213–70.0121%9 Aug
mirage5–130.0018%9 Aug
dust24–13-0.0822%6 Aug
ancient13–9-0.0913%6 Aug
mirage11–13-0.0218%6 Aug
mirage8–13-0.0713%21 Jul
cache13–11-0.0619%6 Jul
cache13–5-0.035%6 Jul
cache11–13-0.0414%9 May
cache13–8-0.0014%9 May
cache12–12-0.039%9 May
cache4–13-0.067%9 May
cache12–12-0.049%1 May
cache5–13-0.0520%1 May
cache5–13-0.059%1 May
cache13–30.0515%1 May
cache12–12-0.0510%1 May
inferno13–10-0.0114%17 Apr
dust28–13-0.1023%17 Apr
overpass13–50.0412%17 Apr
dust212–12-0.0320%17 Apr
anubis9–13-0.0324%17 Apr
inferno13–20.055%17 Apr
overpass13–7-0.0320%17 Apr
dust211–13-0.0513%17 Apr
vertigo9–13-0.045%10 Apr
office7–13-0.0813%18 Mar
office11–13-0.0115%18 Mar
overpass12–12-0.1030%12 Mar
inferno10–13-0.0619%6 Mar
dust21–13-0.0719%6 Mar
train9–13-0.0716%26 Feb
mirage13–80.0414%13 Feb

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 →