Cloudy ☁ — CS2 Stats

76561199105421656[U:1:1145155928]✓ No bans

1,342Tracked matches38%Win rate2023Tracked since
966Hours in CS
CSDB Rating4.1 Developing
FaceitLevel 3Top 90.6% of ranked FACEIT players
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 rate43.5%42.1%42.5%above
Shot accuracy5.9%12.1%10.9%5.0% short
Kill/death ratio0.810.990.990.19 short
Match win rate30.6%43.9%44.2%13.6% short

This profile matches the typical Level 4 player on 1 of 4 comparable metrics.

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.

Share this profile

CSDB.GGCloudy ☁FACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim47
Positioning52
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY36595Last 10036%Win rateWLWLLLLLWW

Last 10 vs previous 10: +20pp win rate · +0.05 avg rating

Player DNA

Aim4.7
Aggression5.5
Utility4.8
Positioning5.2
Opening Duels2.1
Clutch4.8

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 84% 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

T-side openings. Opening success drops from 48% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 587ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.7
Positioning5.2
Utility4.8
Mechanics4.3
Opening Duels2.2
Win Impact1.0

Composite 4.1/10 (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+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time589ms+16ms
first ⅓ avg 573ms → last ⅓ avg 589ms
Headshot accuracy16.6%+3.8%
first ⅓ avg 12.8% → last ⅓ avg 16.6%

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

0.17Best rating — inferno 13–2
131Biggest win — nuke
2Longest win streak
64In matches decided by ≤2 rounds
3Overtime games

Map breakdown

mirageBest map · 57% over 7trainWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
dust2B136746%-0.01
infernoC135838%-0.04
ancientD123925%-0.02
nukeC125742%-0.01
anubisC114736%-0.02
trainD112918%0.03
overpassC73443%-0.02
mirageA74357%0.01
grail41325%0.00
office3030%-0.03
vertigo31233%-0.02
agency2020%0.01
jura220100%0.03

Across the last 100 tracked matches.

Lifetime stats

48,045Lifetime kills
0.81K/D
3,202Matches
30.6%Match win rate
43.5%Headshot % · Top 50% of Level 3 players
5.9%Shot accuracy
3,587MVPs
966Hours (in match)
1,802Bombs planted
384Bombs defused

Most-used weapons

Lifetime map wins

3,023inferno
2,135dust2
1,585vertigo
1,374nuke
300train
172cbble
85office
30lake

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

Faceit stats

Combat

168Matches
47%Win rate
1.13Avg K/D
77.8ADR
34%Headshot %

Clutches & streaks

44%1v1 clutch win
25%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage3256%1.0615.7
Anubis3244%1.1315.1
Inferno2737%1.3016.2
Ancient2245%1.2113.4
Vertigo1771%1.1914.1
Dust2757%0.9315.0
Overpass475%0.9216.0
Nuke333%1.0812.7

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.

15.1%Headshot accuracy
30.4%Accuracy (enemy spotted)
35.7%Spray accuracy
69.3%Counter-strafing
10.6°Preaim
587msReaction time
29.2%T opening success
48.0%CT opening success
0.48Enemies flashed / flash
3.5%Flash assists
6.88HE damage / grenade
13.64Flashes / 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 0.4776 — 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 29.1598% — 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
dust213–50.0713%23 Mar
ancient3–130.0214%23 Mar
ancient13–70.0115%13 Mar
nuke8–13-0.0114%13 Mar
anubis9–13-0.0512%4 Mar
nuke4–130.0722%4 Mar
overpass5–130.0321%3 Mar
dust26–13-0.0114%3 Mar
nuke13–1-0.0219%27 Feb
anubis13–110.0416%27 Feb
office9–13-0.066%1 Dec
office9–13-0.029%30 Nov
office2–5-0.0113%26 Nov
overpass12–12-0.0413%21 Nov
overpass3–13-0.1067%19 Nov
overpass13–10-0.0221%19 Nov
dust25–13-0.0925%10 Nov
inferno7–13-0.0622%9 Nov
nuke13–40.0513%8 Nov
ancient12–16-0.0210%7 Nov
mirage13–100.0320%7 Nov
inferno2–9-0.2633%7 Nov
overpass9–13-0.0115%7 Nov
inferno13–110.0716%7 Nov
inferno10–13-0.0318%6 Nov
train6–130.0113%6 Nov
train13–70.0710%6 Nov
dust28–13-0.0313%30 Oct
overpass13–40.059%30 Oct
vertigo13–4-0.026%27 Oct
vertigo7–13-0.0414%27 Oct
vertigo1–8-0.0222%27 Oct
anubis12–12-0.120%15 Oct
train9–130.1010%11 Sept
train12–40.0718%10 Sept
train1–8-0.0821%10 Sept
train0–50.129%10 Sept
inferno3–9-0.079%26 Aug
anubis13–110.029%25 Aug
anubis6–130.015%21 Aug
agency8–13-0.0115%7 Aug
jura13–5-0.0414%2 Aug
train10–13-0.009%17 Jul
grail13–30.029%5 Jul
grail4–13-0.0622%5 Jul
dust28–130.0224%19 Jun
mirage13–20.0624%19 Jun
dust211–130.0012%18 Jun
agency12–120.0221%13 Jun
jura13–40.1017%5 Jun
train12–120.047%24 May
train2–130.0220%24 May
train4–130.017%24 May
grail9–130.0413%10 May
grail6–130.0117%8 May
mirage13–90.0010%28 Apr
anubis7–13-0.040%26 Apr
inferno13–20.1714%26 Apr
nuke15–150.0215%26 Apr
nuke13–110.0410%26 Apr
mirage3–13-0.1014%25 Apr
nuke7–13-0.0612%25 Apr
mirage4–13-0.0416%25 Apr
dust213–11-0.0012%15 Apr
dust213–8-0.0916%15 Apr
inferno8–13-0.0223%11 Apr
dust213–30.0424%11 Apr
dust28–130.0015%11 Apr
overpass13–11-0.0519%11 Apr
train6–13-0.0210%9 Apr
mirage13–16-0.0410%8 Apr
mirage13–30.1218%8 Apr
dust213–3-0.0532%8 Apr
anubis8–13-0.0231%8 Apr
ancient13–90.0215%8 Apr
dust213–50.1026%8 Apr
anubis9–13-0.058%8 Apr
nuke13–90.0212%8 Apr
inferno13–9-0.0021%1 Apr
nuke8–13-0.036%1 Apr
anubis13–8-0.0214%1 Apr
ancient11–13-0.0511%31 Mar
ancient8–13-0.0410%31 Mar
ancient3–13-0.1014%31 Mar
inferno3–9-0.133%30 Mar
nuke4–13-0.0613%24 Mar
ancient10–13-0.0711%24 Mar
inferno13–70.0211%24 Mar
dust29–13-0.0413%24 Mar
ancient13–60.028%24 Mar
nuke13–70.017%24 Mar
ancient11–130.0216%24 Mar
ancient7–13-0.0716%24 Mar
anubis13–90.0219%24 Mar
anubis9–13-0.028%24 Mar
ancient10–130.008%24 Mar
inferno13–9-0.047%23 Mar
nuke3–9-0.130%23 Mar
inferno4–9-0.089%23 Mar
inferno7–9-0.057%23 Mar

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 →