Emplyes Mustwashhands — CS2 Stats

76561198334155798[U:1:373890070]

652Tracked matches59%Win rate2023Tracked since
838Hours in CS4Hrs last 2 wks
CSDB Rating4.3 Developing
Ladder ranks via Leetify

Performance scores

Aim53
Positioning34
Utility31

0–100 skill scores via Leetify.

Recent form

COLD48457Last 10048%Win rateTLWWLLLLWL

Last 10 vs previous 10: -20pp win rate · -0.00 avg rating

Player DNA

Aim5.3
Aggression2.5
Utility3.1
Positioning3.4
Opening Duels0.0
Clutch6.0

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 72% playstyle similarity

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

Where you differ: lower utility contribution; 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. 594ms 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

Aim5.3
Positioning3.4
Utility3.1
Mechanics4.6
Opening Duels0.3
Win Impact8.1

Composite 4.3/10 (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-0.05−0.01
first ⅓ avg -0.04 → last ⅓ avg -0.05
Reaction time578ms−63ms
first ⅓ avg 641ms → last ⅓ avg 578ms
Headshot accuracy11.5%+1.4%
first ⅓ avg 10.1% → last ⅓ avg 11.5%

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

0.17Best rating — inferno 9–2
131Biggest win — nuke
5Longest win streak
118In matches decided by ≤2 rounds
6Overtime games

Map breakdown

trainBest map · 63% over 8anubisWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
nukeB168850%-0.04
trainA85363%-0.04
cacheC83538%-0.03
ancientA85363%-0.00
overpassA85363%-0.02
infernoA74357%-0.02
mirageA74357%-0.01
dust2C52340%-0.04
vertigoC52340%-0.05
anubisD51420%-0.04
fachwerk41325%-0.07
office4040%-0.06
warden32167%-0.04
shelter21150%-0.08
stronghold21150%-0.08
agency21150%-0.06
boulder1010%-0.05
splinter110100%-0.07
alpine110100%-0.01
grail1010%-0.04
edin110100%-0.01
basalt1010%-0.06

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

23,026Lifetime kills
0.89K/D
1,567Matches
43.8%Match win rate
36.6%Headshot %
14.0%Shot accuracy · Top 50% of tracked players
2,944MVPs
456Hours (in match)
1,089Bombs planted
217Bombs defused

Most-used weapons

Lifetime map wins

1,804inferno
1,328dust2
1,258nuke
721vertigo
414train
364cbble
319office
108lake

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

Faceit stats

Combat

26Matches
62%Win rate
0.80Avg K/D
70.6ADR
34%Headshot %

Clutches & streaks

50%1v1 clutch win
9%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Vertigo683%0.9312.8
Ancient560%0.7912.0
Mirage367%0.9412.3
Inferno20%0.8415.5
Cache2100%0.8311.0
Dust2250%0.6212.0
Anubis10%0.9519.0
Nuke1100%1.0617.0

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.

11.3%Headshot accuracy
35.1%Accuracy (enemy spotted)
37.5%Spray accuracy
70.9%Counter-strafing
10.2°Preaim
594msReaction time
24.4%T opening success
32.2%CT opening success
0.39Enemies flashed / flash
6.7%Flash assists
7.35HE damage / grenade
2.05Flashes / 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 11.3159% — below the 15% mark we flag

    Aim Training
  2. 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 0.3932 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 24.4308% — below the 40% mark we flag

Spend your practice time on Anubis

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
train12–12-0.029%15 Aug
inferno12–16-0.0711%15 Aug
dust213–11-0.0114%14 Aug
fachwerk13–90.0112%9 Aug
boulder7–13-0.0514%9 Aug
office5–13-0.013%9 Aug
cache11–13-0.0215%9 Aug
nuke7–9-0.1021%9 Aug
splinter16–13-0.076%8 Aug
fachwerk7–13-0.1110%8 Aug
cache0–13-0.0638%24 Jul
vertigo13–11-0.078%24 Jul
mirage13–9-0.0115%24 Jul
dust213–3-0.097%23 Jul
fachwerk1–4-0.130%21 Jul
cache12–12-0.0424%21 Jul
shelter7–13-0.0712%21 Jul
cache13–50.029%19 Jul
ancient10–130.007%17 Jul
mirage16–130.049%12 Jul
cache13–11-0.0413%10 Jul
vertigo12–120.0215%10 Jul
fachwerk4–13-0.0518%10 Jul
shelter13–7-0.093%10 Jul
train13–7-0.0710%5 Jul
warden13–10-0.056%5 Jul
alpine13–7-0.019%5 Jul
stronghold13–4-0.073%5 Jul
office2–13-0.0823%5 Jul
cache13–11-0.0710%5 Jul
inferno13–8-0.069%5 Jul
vertigo4–13-0.115%3 Jul
overpass13–10-0.0210%3 Jul
cache9–13-0.016%3 Jul
train13–6-0.0811%27 Jun
office12–12-0.0514%27 Jun
inferno9–20.176%19 Jun
overpass8–80.0215%19 Jun
train13–7-0.007%13 Jun
vertigo13–4-0.0514%13 Jun
cache11–13-0.0416%12 Jun
dust25–130.039%12 Jun
warden13–8-0.0117%22 Feb
stronghold8–8-0.100%25 Jan
warden11–13-0.0616%25 Jan
office7–8-0.1121%30 Nov
nuke13–10-0.0221%2 Nov
overpass13–50.0217%9 Oct
overpass13–9-0.0811%21 Sept
train13–60.0111%17 Sept
ancient2–9-0.0513%6 Sept
mirage13–5-0.027%31 Aug
nuke5–10-0.0714%24 Aug
nuke16–13-0.0716%23 Aug
nuke13–10.006%22 Aug
dust23–13-0.0712%1 Aug
nuke4–13-0.0413%29 Jul
mirage8–13-0.057%23 Jul
overpass13–11-0.0117%22 Jul
nuke3–13-0.083%22 Jul
ancient13–110.0220%20 Jul
nuke9–13-0.0720%19 Jul
overpass13–5-0.0416%19 Jul
anubis9–130.0310%12 Jul
nuke13–11-0.0219%4 Jul
anubis1–13-0.0414%30 Jun
ancient13–80.0215%29 Jun
inferno2–13-0.1113%29 Jun
inferno13–80.0323%28 Jun
mirage11–13-0.0811%6 Jun
agency8–13-0.100%23 May
train10–13-0.0212%23 May
agency13–11-0.0311%10 May
grail8–13-0.0414%10 May
dust21–13-0.0810%28 Apr
nuke2–13-0.0315%27 Apr
overpass5–13-0.0517%25 Apr
ancient11–130.026%24 Apr
inferno10–13-0.056%23 Apr
nuke7–13-0.089%23 Apr
inferno13–11-0.028%23 Apr
nuke15–15-0.039%22 Apr
ancient13–9-0.018%21 Apr
nuke13–9-0.0516%21 Apr
nuke4–10.0410%21 Apr
vertigo9–13-0.048%20 Apr
train13–7-0.0512%20 Apr
edin13–2-0.019%20 Apr
nuke11–3-0.078%20 Apr
basalt12–12-0.067%19 Apr
train8–13-0.1012%19 Apr
ancient13–11-0.0411%18 Apr
overpass7–13-0.027%18 Apr
anubis13–16-0.085%18 Apr
mirage0–13-0.0011%16 Apr
nuke13–8-0.0011%16 Apr
mirage13–80.0612%16 Apr
anubis13–11-0.0311%16 Apr
ancient13–90.0111%16 Apr
anubis3–13-0.073%15 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 →