meow

meow — CS2 Stats

76561199022317515[U:1:1062051787]Steam profile ↗

859Tracked matches41%Win rate2021Tracked since
958Hours in CS2Hrs last 2 wks
CSDB Rating3.9 Learning
FaceitLevel 6 · 1,164 ELOTop 54.0% of ranked FACEIT players
WingmanLegendary Eagle Master
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 rate73.1%44.7%46.1%above
Shot accuracy2.7%11.9%12.6%9.9% short
Kill/death ratio1.611.041.05above
Match win rate47.3%45.2%45.7%above

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

Widest gap: Shot accuracy. 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.GGmeowFACEITLevel 6 · 1,164 ELOSTANDINGTop 54.0% of rankedcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim52
Positioning36
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY434314Last 10043%Win rateWLLLLWWWWL

Last 10 vs previous 10: +10pp win rate · -0.03 avg rating

Player DNA

Aim5.2
Aggression5.1
Utility4.6
Positioning3.6
Opening Duels1.0
Clutch4.6

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 78% playstyle similarity

Most alike: opening-fight frequency, 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. 702ms 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

Aim5.2
Positioning3.6
Utility4.6
Mechanics7.0
Opening Duels1.3
Win Impact2.1

Composite 3.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time693ms−1ms
first ⅓ avg 694ms → last ⅓ avg 693ms
Headshot accuracy22.3%−1.0%
first ⅓ avg 23.2% → last ⅓ avg 22.3%

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

0.32Best rating — poseidon 9–0
130Biggest win — nuke
6Longest win streak
76In matches decided by ≤2 rounds
1Overtime games

Map breakdown

poseidonBest map · 80% over 5anubisWeakest map · 0% over 6
MapGradePlayedRecordWin rateAvg rating
infernoC29121741%0.01
mirageA1911858%0.01
nukeA169756%0.01
dust2C114736%0.01
anubisD6060%-0.05
cacheD6060%-0.04
poseidonS54180%0.08
ancient43175%-0.02
train2020%-0.05
overpass1010%0.00
office1010%-0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (0% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

40,971Lifetime kills
1.61K/D · Top 5% of Level 6 players
1,203Matches
47.3%Match win rate · Top 50% of Level 6 players
73.1%Headshot % · Top 1% of Level 6 players
2.7%Shot accuracy
2,942MVPs
1,107Hours (in match)
593Bombs planted
466Bombs defused

Most-used weapons

Lifetime map wins

2,940nuke
1,579dust2
1,091inferno
654train
342vertigo
133lake
79office
19bank

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

Faceit stats

Combat

123Matches
55%Win rate
1.17Avg K/D
82.2ADR
51%Headshot %

Clutches & streaks

43%1v1 clutch win
26%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Dust23148%1.3019.2
Mirage2969%1.1914.9
Ancient1464%1.1917.1
Inferno1155%1.3215.4
Nuke888%1.1614.9
Anubis743%1.4819.3
Cache540%0.749.6
Overpass560%0.9714.4

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.

22.4%Headshot accuracy
32.4%Accuracy (enemy spotted)
33.3%Spray accuracy
81.4%Counter-strafing
12.1°Preaim
702msReaction time
27.9%T opening success
40.1%CT opening success
0.54Enemies flashed / flash
6.7%Flash assists
5.47HE damage / grenade
9.16Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.1012° — above the 12° mark we flag

    Aim Training
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 702.4516ms — above the 700ms mark we flag

    Aim Training
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.

0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–7-0.0421%25 Aug
nuke2–13-0.0533%25 Aug
inferno4–80.0128%30 Jul
poseidon5–9-0.1119%28 Jul
inferno7–90.0127%28 Jul
nuke9–6-0.0617%28 Jul
inferno9–40.1025%28 Jul
mirage13–5-0.005%28 Jul
ancient13–100.0325%25 Jul
mirage3–13-0.0619%22 Jul
anubis3–13-0.0719%22 Jul
poseidon9–40.1123%21 Jul
poseidon9–00.3220%21 Jul
anubis11–13-0.0440%10 Jul
ancient3–13-0.1311%7 Jul
mirage5–13-0.0423%7 Jul
mirage2–130.0124%7 Jul
mirage13–4-0.0329%5 Jul
cache4–13-0.0312%5 Jul
mirage13–80.0312%2 Jul
mirage13–70.0227%30 Jun
mirage13–40.0321%30 Jun
mirage11–5-0.0227%30 Jun
nuke13–10-0.0326%30 Jun
dust213–11-0.0431%30 Jun
anubis7–13-0.0426%23 Jun
nuke8–13-0.0220%22 Jun
nuke3–13-0.0618%21 Jun
cache1–13-0.0814%21 Jun
dust213–90.0115%19 Jun
dust210–13-0.0530%16 Jun
inferno8–80.0528%16 Jun
inferno5–9-0.0822%14 Jun
dust210–130.0524%14 Jun
dust213–50.1325%14 Jun
inferno6–9-0.0824%14 Jun
anubis1–13-0.0614%14 Jun
inferno9–5-0.0133%12 Jun
inferno8–80.0318%11 Jun
dust213–160.0121%11 Jun
poseidon9–4-0.0114%11 Jun
overpass12–120.0017%10 Jun
mirage10–13-0.113%9 Jun
nuke13–00.0427%9 Jun
nuke6–130.1350%8 Jun
nuke13–11-0.0215%7 Jun
anubis11–13-0.0620%7 Jun
inferno9–7-0.066%7 Jun
mirage13–100.0722%6 Jun
nuke9–00.1318%6 Jun
nuke12–120.0720%6 Jun
dust28–13-0.0122%5 Jun
inferno9–20.1526%5 Jun
poseidon9–20.0775%5 Jun
inferno13–90.0118%4 Jun
mirage13–110.0817%4 Jun
inferno9–60.1233%4 Jun
inferno9–30.2125%4 Jun
inferno7–9-0.077%4 Jun
inferno9–70.1315%4 Jun
mirage6–130.0228%3 Jun
nuke3–13-0.0615%3 Jun
inferno11–130.0323%2 Jun
inferno9–40.0535%2 Jun
office9–13-0.0560%1 Jun
mirage10–130.0248%1 Jun
nuke13–80.0030%31 May
inferno9–60.0226%31 May
inferno8–8-0.0421%31 May
inferno9–30.076%31 May
mirage9–130.0426%31 May
train2–13-0.0825%31 May
anubis12–12-0.0233%31 May
ancient13–110.0522%30 May
dust25–130.1027%30 May
inferno3–9-0.1625%30 May
inferno8–80.0541%30 May
mirage9–130.0218%29 May
train12–12-0.0315%29 May
inferno13–6-0.0514%29 May
inferno8–8-0.0322%29 May
inferno8–8-0.0635%29 May
nuke9–13-0.0125%29 May
mirage13–60.0627%29 May
nuke13–100.0015%29 May
nuke4–00.1038%29 May
mirage13–110.0421%29 May
nuke13–7-0.0013%29 May
dust213–7-0.0516%29 May
cache4–13-0.0713%29 May
dust211–130.0219%29 May
dust29–13-0.0926%28 May
cache12–12-0.0724%28 May
inferno7–13-0.0331%28 May
inferno8–8-0.0144%28 May
inferno8–8-0.0128%28 May
cache5–130.0318%27 May
cache12–12-0.0428%27 May
ancient13–2-0.0221%27 May
inferno8–13-0.086%27 May

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 →