Chill Guy

Chill Guy — CS2 Stats

76561199034099861[U:1:1073834133]Steam profile ↗✓ No bans

1,211Tracked matches56%Win rate2023Tracked since
1,108Hours in CS3Hrs last 2 wks
CSDB Rating5.0 Developing
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=607), 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 3 medianLevel 4 medianvs Level 4
Headshot rate39.4%42.1%42.5%3.1% short
Shot accuracy1.4%12.1%10.9%9.5% short
Kill/death ratio0.780.990.990.22 short
Match win rate31.9%43.9%44.2%12.3% short

This profile sits below the typical Level 4 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGChill GuyFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim58
Positioning48
Utility31

0–100 skill scores via Leetify.

Recent form

COLD354916Last 10035%Win rateWWLTWLTLLT

Last 10 vs previous 10: -10pp win rate · +0.07 avg rating

Player DNA

Aim5.8
Aggression6.9
Utility3.1
Positioning4.8
Opening Duels3.0
Clutch0.0

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

ropz

Plays most like ropz 83% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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

T-side openings. Opening success drops from 53% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 697ms 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

Aim5.8
Positioning4.8
Utility3.1
Mechanics5.4
Opening Duels3.0
Win Impact6.9

Composite 5.0/10 (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-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time677ms−32ms
first ⅓ avg 709ms → last ⅓ avg 677ms
Headshot accuracy19.7%+2.5%
first ⅓ avg 17.2% → last ⅓ avg 19.7%

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

0.24Best rating — inferno 9–5
131Biggest win — vertigo
6Longest win streak
W2Current streak
76In matches decided by ≤2 rounds
3Overtime games

Map breakdown

officeBest map · 67% over 6dust2Weakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
infernoD2251723%0.02
nukeD1751229%-0.02
mirageC94544%-0.01
dust2D81713%-0.02
ancientA74357%-0.01
officeS64267%-0.02
cacheB63350%0.03
vertigo43175%-0.01
anubis41325%-0.01
overpass4040%-0.03
train32167%-0.03
alpine3030%0.03
poseidon21150%-0.03
debris21150%0.01
warden2020%-0.00
italy110100%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

31,283Lifetime kills
0.78K/D
2,443Matches
31.9%Match win rate
39.4%Headshot %
1.4%Shot accuracy
3,815MVPs
638Hours (in match)
1,467Bombs planted
235Bombs defused

Most-used weapons

Lifetime map wins

2,631inferno
1,940dust2
1,774nuke
1,135vertigo
598train
306office
106italy
56cbble

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

Faceit stats

Combat

27Matches
26%Win rate
0.73Avg K/D
71.5ADR
38%Headshot %

Clutches & streaks

20%1v1 clutch win
19%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage850%0.7311.4
Dust270%0.6611.1
Inferno425%0.8013.5
Anubis425%0.6011.8
Ancient333%0.8917.7
Train10%1.0017.0

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.

18.8%Headshot accuracy
34.9%Accuracy (enemy spotted)
36.8%Spray accuracy
74.2%Counter-strafing
9.4°Preaim
697msReaction time
31.0%T opening success
53.0%CT opening success
0.38Enemies flashed / flash
10.2%Flash assists
7.92HE damage / grenade
2.63Flashes / 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. 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 0.3841 — below the 0.5 mark we flag

    Grenade Lineups
  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 30.9551% — below the 40% mark we flag

Spend your practice time on Dust 2

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

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
poseidon9–70.0322%19 Aug
debris9–70.1740%19 Aug
inferno3–9-0.1026%19 Aug
inferno8–80.0839%19 Aug
inferno9–20.1845%19 Aug
inferno7–90.0116%19 Aug
nuke8–80.0411%19 Aug
inferno5–9-0.0318%19 Aug
debris2–9-0.1511%19 Aug
inferno8–80.129%19 Aug
vertigo13–8-0.0511%17 Aug
ancient2–13-0.0714%15 Aug
dust212–120.0318%11 Aug
office13–6-0.0823%10 Aug
inferno13–50.0119%10 Aug
nuke13–8-0.0112%31 Jul
nuke5–13-0.0814%25 Jul
nuke12–12-0.0713%24 Jul
inferno10–130.0317%23 Jul
cache7–13-0.0621%23 Jul
anubis12–12-0.0721%23 Jul
mirage11–13-0.0211%23 Jul
mirage13–3-0.107%23 Jul
inferno4–130.1027%20 Jul
mirage8–13-0.0815%20 Jul
overpass2–9-0.0831%7 Jul
nuke2–9-0.1517%7 Jul
inferno3–9-0.0516%7 Jul
inferno7–90.0811%7 Jul
vertigo13–10-0.0123%5 Jul
office13–100.0125%5 Jul
cache13–50.0617%14 Jun
nuke9–70.1230%31 May
nuke9–7-0.0621%31 May
nuke9–60.0935%31 May
inferno8–8-0.0230%31 May
inferno9–50.2426%31 May
inferno8–80.0814%31 May
inferno2–9-0.2236%31 May
dust213–11-0.0814%14 May
dust22–13-0.0223%14 May
italy13–9-0.0228%14 May
inferno13–80.0721%14 May
cache13–80.0535%3 May
cache10–130.0317%2 May
cache13–110.0620%2 May
cache5–130.0618%2 May
nuke13–5-0.0122%28 Apr
nuke6–13-0.0517%28 Apr
nuke11–13-0.0315%28 Apr
vertigo13–10.0730%28 Apr
nuke7–130.0320%26 Apr
ancient12–12-0.0412%19 Apr
overpass7–130.0133%19 Apr
nuke10–13-0.0526%19 Apr
mirage12–12-0.0319%19 Apr
office13–11-0.0124%12 Apr
dust27–13-0.0322%12 Apr
ancient9–13-0.0117%11 Apr
anubis1–13-0.088%6 Apr
dust29–130.0020%6 Apr
overpass12–12-0.017%2 Apr
inferno12–12-0.038%2 Apr
train13–8-0.0518%2 Apr
inferno13–70.069%2 Apr
train6–13-0.0511%31 Mar
ancient13–40.0118%31 Mar
overpass0–13-0.0238%31 Mar
dust25–13-0.1022%24 Mar
mirage13–90.0218%24 Mar
ancient13–90.0320%24 Mar
nuke13–16-0.0414%24 Mar
nuke5–130.0111%24 Mar
office13–80.0316%23 Mar
office3–13-0.0825%23 Mar
office9–130.0018%23 Mar
dust212–12-0.038%19 Mar
dust25–130.0615%19 Mar
nuke12–12-0.0515%19 Mar
mirage13–4-0.0527%19 Mar
mirage15–150.0514%13 Mar
ancient13–80.0614%13 Mar
vertigo12–12-0.0513%13 Mar
anubis13–80.0813%13 Mar
alpine2–130.1312%6 Mar
inferno3–9-0.1213%6 Mar
nuke3–9-0.0311%6 Mar
inferno7–9-0.0126%6 Mar
poseidon3–9-0.0827%6 Mar
mirage13–10.109%5 Mar
anubis6–130.0319%5 Mar
inferno8–13-0.0516%2 Mar
mirage13–160.0228%2 Mar
alpine11–13-0.0524%27 Feb
warden6–120.0218%27 Feb
alpine8–130.0215%27 Feb
ancient13–10-0.0313%27 Feb
warden4–13-0.0218%26 Feb
inferno1–13-0.035%26 Feb
train13–100.0011%26 Feb

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →