2060149

2060149 — CS2 Stats

76561199238477397[U:1:1278211669]Steam profile ↗

1,704Tracked matches31%Win rate2023Tracked since
CSDB Rating4.4 DevelopingPassive Rifler
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GG2060149FACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim61
Positioning38
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY38557Last 10038%Win rateLWLLWLWWLL

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

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim6.1
Aggression3.2
Utility4.8
Positioning3.8
Opening Duels0.0
Clutch3.2

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 79% 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 →

CSDB Rating breakdown

Aim6.1
Positioning3.8
Utility4.8
Mechanics7.2
Opening Duels0.2
Win Impact0.0

Composite 4.4/10 (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 time538ms−58ms
first ⅓ avg 597ms → last ⅓ avg 538ms
Headshot accuracy12.6%+0.9%
first ⅓ avg 11.7% → last ⅓ avg 12.6%

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

0.10Best rating — cache 13–9
130Biggest win — nuke
3Longest win streak
56In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 50% over 10trainWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
cacheC1881044%-0.02
infernoC1771041%-0.02
mirageC135838%-0.01
trainD112918%-0.02
nukeD112918%0.01
dust2B105550%-0.02
anubisC94544%-0.02
vertigoB63350%0.02
ancientC52340%0.02

Across the last 100 tracked matches.

Faceit stats

Combat

964Matches
49%Win rate
0.90Avg K/D
71.8ADR
38%Headshot %

Clutches & streaks

36%1v1 clutch win
16%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage25249%0.9113.2
Dust217749%0.8512.5
Inferno12855%0.9213.2
Nuke9949%0.8913.6
Ancient9345%0.9314.2
Anubis8838%0.9114.2
Vertigo6152%0.9914.5
Cache2548%0.9114.4

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.

12.7%Headshot accuracy
30.5%Accuracy (enemy spotted)
30.6%Spray accuracy
82.6%Counter-strafing
9.2°Preaim
535msReaction time
31.7%T opening success
23.9%CT opening success
0.59Enemies flashed / flash
3.2%Flash assists
7.54HE damage / grenade
9.01Flashes / 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 12.7136% — 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 31.7162% — 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.

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
dust210–130.0714%28 Aug
inferno13–110.0213%28 Aug
train3–13-0.135%28 Aug
cache3–13-0.0414%27 Aug
cache4–2-0.0611%26 Aug
nuke2–80.0721%26 Aug
anubis13–10-0.057%26 Aug
mirage13–3-0.0114%25 Aug
mirage11–130.0216%24 Aug
cache10–13-0.034%23 Aug
vertigo13–3-0.0012%23 Aug
cache4–130.0513%23 Aug
train8–130.0123%22 Aug
mirage10–13-0.005%21 Aug
train12–120.0311%21 Aug
nuke5–130.0719%21 Aug
dust213–4-0.0115%21 Aug
anubis2–13-0.1013%21 Aug
mirage13–10-0.0118%20 Aug
cache3–13-0.126%20 Aug
cache11–13-0.0123%20 Aug
mirage8–130.008%20 Aug
cache11–13-0.0610%19 Aug
nuke13–10-0.028%19 Aug
anubis13–40.0315%16 Aug
inferno5–13-0.0614%16 Aug
cache9–13-0.0412%16 Aug
dust23–13-0.0422%16 Aug
mirage5–13-0.0210%14 Aug
cache6–13-0.0711%13 Aug
anubis9–13-0.0414%13 Aug
dust212–12-0.115%12 Aug
train5–13-0.0412%12 Aug
train10–130.0515%12 Aug
dust212–50.078%11 Aug
mirage13–9-0.049%10 Aug
cache9–130.0317%10 Aug
vertigo8–13-0.0714%10 Aug
train6–13-0.0014%9 Aug
ancient13–80.0913%9 Aug
nuke8–13-0.028%8 Aug
mirage10–130.0114%8 Aug
nuke10–13-0.119%8 Aug
inferno7–13-0.0318%8 Aug
inferno8–1-0.0727%8 Aug
train6–13-0.0311%8 Aug
train12–12-0.037%7 Aug
anubis13–70.0114%7 Aug
train13–4-0.0211%7 Aug
cache4–50.066%7 Aug
cache11–13-0.045%7 Aug
cache8–2-0.1020%7 Aug
ancient4–13-0.046%6 Aug
cache13–80.0012%6 Aug
dust21–13-0.0412%6 Aug
ancient12–120.0222%5 Aug
inferno13–4-0.0515%5 Aug
nuke13–00.0517%4 Aug
mirage13–50.0922%4 Aug
nuke11–130.0522%4 Aug
inferno8–130.0113%4 Aug
inferno13–110.0114%3 Aug
inferno8–13-0.0211%2 Aug
inferno13–9-0.017%1 Aug
nuke9–130.016%1 Aug
vertigo12–12-0.0211%1 Aug
inferno13–5-0.0223%1 Aug
nuke8–13-0.0312%1 Aug
vertigo4–130.0618%31 Jul
train13–70.066%31 Jul
inferno5–13-0.058%30 Jul
anubis12–12-0.0413%30 Jul
vertigo13–80.076%30 Jul
vertigo13–10.088%29 Jul
cache13–110.007%29 Jul
train7–13-0.067%28 Jul
cache13–60.0810%28 Jul
inferno10–13-0.0216%28 Jul
anubis11–13-0.0212%28 Jul
anubis13–50.0915%26 Jul
cache13–90.1012%26 Jul
inferno8–13-0.0210%26 Jul
mirage9–13-0.079%25 Jul
nuke10–130.0511%24 Jul
ancient13–100.0514%24 Jul
anubis7–13-0.0412%22 Jul
mirage13–5-0.078%22 Jul
mirage6–13-0.0125%22 Jul
dust24–13-0.079%21 Jul
inferno13–10-0.0113%21 Jul
dust213–9-0.0215%21 Jul
dust213–8-0.0515%20 Jul
ancient0–13-0.018%20 Jul
inferno8–13-0.0012%20 Jul
mirage6–13-0.0712%19 Jul
cache13–8-0.0311%19 Jul
nuke9–13-0.0315%19 Jul
inferno12–120.0715%17 Jul
inferno3–13-0.056%17 Jul
dust213–70.0215%16 Jul

Match data via Leetify.

Milestones

1,000 Matches
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