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π™Ήπ™Ύπ™Ίπ™΄πš

π™Ήπ™Ύπ™Ίπ™΄πš β€” CS2 Stats

US76561198211152005[U:1:250886277]Steam profile β†—

660Tracked matches41%Win rate2023Tracked since
591Hours in CS
CSDB Rating5.5 SolidPassive Rifler
Premier CS Rating20,995Top 50% of 17,162 CSDB-tracked playersPink band Β· top ~7.4% of ranked players (population est.)
CSDB Leaderboard#9486 of 26299 tracked
FaceitLevel 6 Β· 1,229 ELOTop 54.0% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=862), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here β€” those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 6 medianLevel 7 medianvs Level 7
Headshot rate38.6%44.9%46.2%7.6% short
Shot accuracy8.6%11.8%12.5%3.9% short
Kill/death ratio1.011.041.060.05 short
Match win rate44.5%45.3%45.9%1.3% short

This profile sits below the typical Level 7 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 7 median in relative terms β€” not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGπ™Ήπ™Ύπ™Ίπ™΄πšFACEITLevel 6 Β· 1,229 ELOSTANDINGTop 54.0% of rankedPREMIER20,995 Β· Pink bandcsdb.gg/stats

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

Performance scores

Aim83
Positioning46
Utility32

0–100 skill scores via Leetify.

Recent form

COLD52–44–4Last 10052%Win rateLLLWLLWLWL

Last 10 vs previous 10: -20pp win rate Β· +0.03 avg rating

Player DNA

Primary style: Passive Rifler β€” Aim-led profile without a single dominant tendency.

Aim8.3
Aggression3.2
Utility3.2
Positioning4.6
Opening Duels1.4
Clutch4.8

Strong CT-side openerEffective flashesLimited utility dependence

Style profile from tracked-match aggregates β€” 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 84% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower opening-fight frequency; lower utility contribution.

Similarity of playstyle shape across shared dimensions β€” it says how you play, not that you play at their level. Full comparison β†’

Strengths & areas to improve

Areas to improve

Positioning. Positioning trails aim by 38 points β€” deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game β€” the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 45% on CT to 26% on T β€” the same duels are being taken with worse setups on the attacking side.

Reaction time. 614ms from enemy-visible to first shot leaves fights decided before they start β€” warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers β€” no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim8.3
Positioning4.6
Utility3.2
Mechanics7.4
Opening Duels1.9
Win Impact2.1

Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (Γ—1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03βˆ’0.01
first β…“ avg 0.04 β†’ last β…“ avg 0.03
Reaction time612msβˆ’13ms
first β…“ avg 626ms β†’ last β…“ avg 612ms
Headshot accuracy15.4%βˆ’1.2%
first β…“ avg 16.6% β†’ last β…“ avg 15.4%

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

0.22Best rating β€” dust2 13–5
13–1Biggest win β€” anubis
4Longest win streak
L3Current streak
9–9In matches decided by ≀2 rounds
3Overtime games

Map breakdown

nukeBest map Β· 86% over 7ancientWeakest map Β· 38% over 13
MapGradePlayedRecordWin rateAvg rating
dust2B4019–2148%0.02
ancientC135–838%0.02
cacheA127–558%0.03
mirageA117–464%0.03
nukeS76–186%0.04
vertigoC52–340%0.07
infernoC52–340%-0.00
anubisβ€”43–175%0.05
trainβ€”31–233%0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

29,338Lifetime kills
1.01K/D
1,623Matches
44.5%Match win rate
38.6%Headshot %
8.6%Shot accuracy
3,201MVPs
591Hours (in match)
1,145Bombs planted
376Bombs defused

Most-used weapons

AK-4710,029
M4A4 / M4A1-S6,456
AWP5,070
P2000 / USP-S1,417
Desert Eagle1,203
Glock-18987
P90524
MP7286
UMP-45279
Five-SeveN271

Lifetime map wins

6,805dust2
1,059inferno
721nuke
327train
124vertigo
88cbble
67office

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

Faceit stats

Combat

71Matches
52%Win rate
1.13Avg K/D
83.0ADR
46%Headshot %

Clutches & streaks

44%1v1 clutch win
13%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage2255%1.2516.4
Dust21638%0.9316.9
Ancient1173%1.3817.2
Inferno850%1.1716.1
Overpass450%1.1116.8
Nuke367%1.2114.3
Anubis10%0.7112.0
Vertigo1100%0.8511.0

Faceit-match stats via the FACEIT Data API β€” a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches β€” stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

15.1%Headshot accuracy
41.1%Accuracy (enemy spotted)
41.0%Spray accuracy
83.2%Counter-strafing
7.3Β°Preaim
614msReaction time
26.0%T opening success
45.4%CT opening success
0.71Enemies flashed / flash
4.3%Flash assists
6.51HE damage / grenade
3.38Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag β€” the measurement behind each one is shown, so you can disagree with it.

  1. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.3808 β€” below the 4 mark we flag

    Grenade Lineups β†’
  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 25.9935% β€” below the 40% mark we flag

Spend your practice time on Ancient

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

38% win rate across 13 tracked games β€” your weakest map with enough games to be worth reading into.

Ancient callouts & strategy β†’Ancient grenade lineups β†’

Recent matches

MapScoreRatingHS%Date
cache4–130.0915%29 Aug β†’
mirage7–130.0111%29 Aug β†’
dust211–130.0518%29 Aug β†’
mirage13–110.0814%29 Aug β†’
ancient1–13-0.0811%29 Aug β†’
vertigo4–130.049%29 Aug β†’
cache13–60.147%27 Aug β†’
dust211–13-0.0118%20 Aug β†’
nuke13–70.0216%20 Aug β†’
dust27–130.1024%20 Aug β†’
dust25–13-0.0315%20 Aug β†’
cache13–110.0420%20 Aug β†’
dust27–13-0.0616%20 Aug β†’
nuke13–11-0.0111%20 Aug β†’
mirage13–30.0810%20 Aug β†’
dust211–13-0.008%18 Aug β†’
dust213–90.0117%18 Aug β†’
dust28–130.0225%16 Aug β†’
inferno10–130.018%16 Aug β†’
dust213–110.038%15 Aug β†’
dust213–5-0.0113%15 Aug β†’
train3–11-0.0139%15 Aug β†’
dust213–60.0217%14 Aug β†’
dust210–130.0319%14 Aug β†’
dust24–120.058%14 Aug β†’
train10–130.0114%14 Aug β†’
train13–80.1918%13 Aug β†’
anubis13–10.0520%10 Aug β†’
dust24–13-0.099%8 Aug β†’
ancient12–120.0918%8 Aug β†’
nuke13–40.1317%8 Aug β†’
vertigo8–130.0722%8 Aug β†’
cache13–100.0714%8 Aug β†’
dust213–20.0122%7 Aug β†’
dust213–90.0422%7 Aug β†’
dust28–13-0.0317%7 Aug β†’
dust213–60.0524%7 Aug β†’
inferno13–10-0.0417%6 Aug β†’
mirage9–13-0.0512%6 Aug β†’
inferno5–130.0310%6 Aug β†’
dust24–13-0.1227%6 Aug β†’
dust213–90.0318%6 Aug β†’
cache13–6-0.0232%6 Aug β†’
ancient13–60.075%5 Aug β†’
nuke13–5-0.0410%5 Aug β†’
ancient6–13-0.0525%5 Aug β†’
dust213–30.099%4 Aug β†’
dust22–13-0.0620%3 Aug β†’
mirage13–70.0224%3 Aug β†’
cache4–13-0.0410%3 Aug β†’
cache2–13-0.0122%3 Aug β†’
dust215–150.0118%3 Aug β†’
ancient13–5-0.028%3 Aug β†’
dust213–110.0611%3 Aug β†’
dust26–13-0.0232%1 Aug β†’
mirage10–13-0.0416%1 Aug β†’
ancient13–11-0.0215%1 Aug β†’
dust21–13-0.0213%1 Aug β†’
vertigo13–80.1318%31 Jul β†’
nuke13–20.1219%31 Jul β†’
cache13–11-0.0410%31 Jul β†’
mirage13–90.0215%31 Jul β†’
ancient10–13-0.069%31 Jul β†’
mirage13–50.0622%31 Jul β†’
vertigo13–70.059%29 Jul β†’
vertigo8–130.0518%29 Jul β†’
ancient13–50.0618%28 Jul β†’
cache14–16-0.0510%28 Jul β†’
anubis13–80.0522%27 Jul β†’
mirage13–60.1313%27 Jul β†’
cache13–50.1122%27 Jul β†’
ancient11–13-0.0218%27 Jul β†’
cache13–110.0012%27 Jul β†’
dust212–12-0.0219%27 Jul β†’
dust211–130.0415%26 Jul β†’
ancient15–150.0119%25 Jul β†’
nuke13–90.0722%25 Jul β†’
ancient11–130.1518%25 Jul β†’
ancient13–80.1018%25 Jul β†’
ancient8–130.0212%23 Jul β†’
dust24–130.014%23 Jul β†’
dust213–2-0.0413%23 Jul β†’
dust213–10-0.0119%23 Jul β†’
dust213–10.0825%23 Jul β†’
dust213–60.0820%23 Jul β†’
dust210–13-0.0225%23 Jul β†’
dust213–30.0422%22 Jul β†’
dust27–130.0219%22 Jul β†’
mirage13–100.0023%22 Jul β†’
dust213–100.0618%22 Jul β†’
dust213–10.1811%22 Jul β†’
anubis11–130.0912%22 Jul β†’
dust213–50.2223%21 Jul β†’
inferno13–100.0318%21 Jul β†’
anubis13–110.0218%21 Jul β†’
dust213–70.0911%21 Jul β†’
mirage10–13-0.0119%20 Jul β†’
inferno0–13-0.056%20 Jul β†’
cache11–130.0415%20 Jul β†’
nuke10–13-0.019%20 Jul β†’

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone β†’Inventory value for this account β†’Where does this rating sit? Premier rank tiers β†’

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