Washed — CS2 Stats

76561198059751978[U:1:99486250]✓ No bans

967Tracked matches62%Win rate2020Tracked since
1,058Hours in CS
CSDB Rating5.3 Developing
Premier CS Rating19,190Purple band · top ~11.7% of ranked players (population est.)
CSDB Leaderboard#20064 of 46042 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=1,571), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 6 medianLevel 7 medianvs Level 7
Headshot rate45.3%44.7%46.1%meets
Shot accuracy13.9%11.9%12.6%above
Kill/death ratio1.131.041.05above
Match win rate41.1%45.2%45.7%4.6% short

This profile matches the typical Level 7 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGWashedFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER19,190 · Purple bandcsdb.gg/stats

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Performance scores

Aim50
Positioning46
Utility65

0–100 skill scores via Leetify.

Recent form

STEADY444313Last 10044%Win rateLTWLWWTWWT

Last 10 vs previous 10: -10pp win rate · +0.01 avg rating

Player DNA

Aim5.0
Aggression5.7
Utility6.5
Positioning4.6
Opening Duels2.3
Clutch3.6

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

NiKo

Plays most like NiKo 86% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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 50% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 640ms 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

Aim5.0
Positioning4.6
Utility6.5
Mechanics5.0
Opening Duels2.5
Win Impact8.8

Composite 5.3/10 (Developing), 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 time651ms−26ms
first ⅓ avg 676ms → last ⅓ avg 651ms
Headshot accuracy19.3%−0.8%
first ⅓ avg 20.1% → last ⅓ avg 19.3%

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

0.20Best rating — nuke 13–2
132Biggest win — cache
4Longest win streak
95In matches decided by ≤2 rounds
2Overtime games

Map breakdown

mirageBest map · 50% over 12trainWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
cacheC34151944%0.02
infernoB136746%-0.00
nukeB136746%0.00
mirageB126650%-0.01
dust2D62433%0.01
trainD61517%-0.03
anubis42250%-0.00
ancient42250%0.01
vertigo2020%-0.05
overpass220100%0.04
boulder110100%-0.02
sanctum110100%-0.04
poseidon1010%-0.02
office1010%-0.09

Across the last 100 tracked matches.

Lifetime stats

67,671Lifetime kills
1.13K/D · Top 50% of Level 6 players
3,428Matches
41.1%Match win rate
45.3%Headshot % · Top 50% of Level 6 players
13.9%Shot accuracy · Top 50% of Level 6 players
7,442MVPs
1,058Hours (in match)
2,361Bombs planted
689Bombs defused

Most-used weapons

Lifetime map wins

4,259dust2
4,075inferno
1,173train
1,172nuke
859vertigo
613cbble
455lake
406office

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

48Matches
65%Win rate
1.15Avg K/D
84.9ADR
47%Headshot %

Clutches & streaks

38%1v1 clutch win
5%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1675%1.4717.7
Inferno989%1.2214.9
Ancient580%0.9814.8
Dust2450%1.2015.0
Nuke250%1.1721.5
Anubis1100%1.2520.0

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.

19.6%Headshot accuracy
30.9%Accuracy (enemy spotted)
32.5%Spray accuracy
72.6%Counter-strafing
10.3°Preaim
640msReaction time
28.8%T opening success
50.0%CT opening success
0.61Enemies flashed / flash
5.6%Flash assists
9.77HE damage / grenade
9.89Flashes / 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 28.7623% — below the 40% mark we flag

Spend your practice time on Train

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
cache7–13-0.0410%26 Jul
inferno12–120.0316%26 Jul
inferno13–9-0.0533%26 Jul
dust29–13-0.0129%25 Jul
anubis13–70.0624%25 Jul
cache13–70.0131%25 Jul
mirage12–12-0.0317%25 Jul
boulder13–11-0.0218%12 Jul
ancient13–90.0216%12 Jul
cache12–12-0.0527%11 Jul
mirage11–13-0.0322%5 Jul
dust213–16-0.0616%5 Jul
inferno13–11-0.0614%5 Jul
inferno16–140.0314%4 Jul
ancient13–50.0219%4 Jul
mirage13–5-0.0326%4 Jul
nuke11–13-0.0418%4 Jul
mirage5–13-0.0624%4 Jul
mirage4–00.0729%4 Jul
cache13–10-0.0127%4 Jul
cache13–70.0118%3 Jul
train10–13-0.0213%3 Jul
mirage8–13-0.0122%3 Jul
cache13–7-0.0124%24 Jun
sanctum9–7-0.0413%21 Jun
poseidon8–8-0.0216%21 Jun
cache5–13-0.058%21 Jun
mirage13–110.0119%21 Jun
train7–13-0.0525%20 Jun
cache13–40.0314%20 Jun
inferno12–12-0.0515%20 Jun
train5–3-0.050%20 Jun
cache13–7-0.0121%15 Jun
inferno9–13-0.0230%15 Jun
cache9–13-0.0714%8 Jun
nuke13–10-0.0121%8 Jun
cache6–130.0933%8 Jun
train12–12-0.0330%7 Jun
cache10–130.0518%7 Jun
anubis12–12-0.0332%7 Jun
cache9–130.0722%29 May
cache13–110.0427%29 May
cache13–60.0828%29 May
cache13–110.0520%11 May
cache1–13-0.0324%11 May
cache13–80.0730%11 May
cache4–13-0.0438%9 May
cache13–90.0531%9 May
cache12–120.0218%6 May
cache13–6-0.0117%6 May
cache6–130.0123%6 May
cache10–13-0.0114%3 May
cache13–50.0520%3 May
cache9–130.0718%3 May
cache13–20.0622%2 May
cache13–60.0418%2 May
cache7–13-0.047%2 May
cache9–130.0733%1 May
cache4–13-0.0731%1 May
cache12–12-0.0015%1 May
cache10–13-0.0120%1 May
cache3–130.1029%1 May
train11–13-0.0220%28 Apr
inferno3–130.0013%28 Apr
mirage13–60.0324%27 Apr
mirage3–13-0.0611%27 Apr
nuke8–3-0.0417%27 Apr
mirage13–8-0.0320%24 Apr
nuke6–130.0025%16 Apr
dust213–30.1229%16 Apr
nuke11–13-0.0215%15 Apr
vertigo9–13-0.0418%15 Apr
mirage5–13-0.0321%15 Apr
ancient6–130.0615%15 Apr
inferno0–5-0.050%12 Apr
office1–13-0.0917%12 Apr
vertigo4–13-0.0717%12 Apr
dust212–12-0.0523%11 Apr
nuke2–13-0.0729%11 Apr
dust25–13-0.0417%9 Apr
nuke12–120.0226%9 Apr
nuke13–100.0040%9 Apr
mirage13–50.0817%7 Apr
inferno1–13-0.0321%7 Apr
nuke9–70.0723%7 Apr
overpass13–6-0.0326%6 Apr
nuke9–40.0316%6 Apr
nuke8–8-0.0216%6 Apr
inferno9–30.1029%6 Apr
inferno7–9-0.0640%6 Apr
inferno13–60.0314%6 Apr
anubis13–60.0017%6 Apr
train12–12-0.035%3 Apr
ancient6–13-0.0611%3 Apr
inferno13–70.0615%3 Apr
nuke10–13-0.1018%3 Apr
overpass13–30.1221%3 Apr
anubis3–13-0.0535%3 Apr
dust213–30.0816%3 Apr
nuke13–20.2015%2 Apr

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 →