Cloud

Cloud — CS2 Stats

SE76561198216613701[U:1:256347973]Steam profile ↗✓ No bans

725Tracked matches34%Win rate2023Tracked since
CSDB Rating3.0 LearningPositional Player
Premier CS Rating14,892Blue band · top ~29% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Oct 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 14,892 +2,578 25 Aug – 24 Oct · 18 days played
12,24616,544peak 16,54425 Aug24 Oct
16,688Peak Premier in tracked matches
24Days played since 2026-08-05

Premier CS Rating

  • 1,652 below peak (16,544)
  • -729 over 30 days · declining
  • Next: Purple band at 15,000 — 108 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-09
  • Blue band first seen 2026-09-09

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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Performance scores

Aim43
Positioning36
Utility12

0–100 skill scores via Leetify.

Recent form

COLD46–48–6Last 10046%Win rateLLLWWLLLLL

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · +1.8pp headshot accuracy · −15ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 561ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 12%
  • Avg reaction 574ms

Last 20

  • 5–14–1 · 25% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 11%
  • Avg reaction 581ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.8 against its own average).

Aim4.3
Utility1.2
Positioning3.6
Opening Duels0.6

Limited utility dependence

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

donk

Plays most like donk 88% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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

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

Reaction time. 575ms 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

Aim4.3
Positioning3.6
Utility1.2
Mechanics4.6
Opening Duels2.9
Win Impact0.0

Composite 3.0/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.02
first ⅓ avg -0.02 → last ⅓ avg -0.04
Reaction time555ms−12ms
first ⅓ avg 567ms → last ⅓ avg 555ms
Headshot accuracy11.4%−0.9%
first ⅓ avg 12.3% → last ⅓ avg 11.4%

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.

Personal bests

0.08Best match rating · 13–3 · inferno, 31 Aug →
29%Best headshot accuracy · 13–8 · anubis, 26 Aug →
391msFastest reaction time · 13–1 · inferno, 31 Aug →
13–1Biggest win · inferno, 31 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
8–10In matches decided by ≤2 rounds
15Overtime games

Map breakdown

ancientBest map · 58% over 12infernoWeakest map · 40% over 15
MapGradePlayedRecordWin rateAvg rating
mirageC177–1041%-0.04
nukeC177–1041%-0.04
infernoC156–940%-0.04
anubisA148–657%-0.00
cacheC125–742%-0.04
ancientA127–558%-0.03
dust2C94–544%-0.03
vertigo—22–0100%-0.01
office—10–10%-0.05
overpass—10–10%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

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

11.8%Headshot accuracy
32.3%Accuracy (enemy spotted)
35.3%Spray accuracy
70.8%Counter-strafing
12.2°Preaim
575msReaction time
43.5%T opening success
39.9%CT opening success
0.17Enemies flashed / flash
1.9%Flash assists
7.07HE damage / grenade
0.39Flashes / 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 12.1902° — above the 12° mark we flag

    Aim Training →
  2. 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 11.7774% — below the 15% mark we flag

    Aim Training →
  3. 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 0.1673 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Inferno

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

40% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust29–13-0.0315%24 Oct →
cache7–13-0.0518%24 Oct →
mirage9–13-0.0910%24 Oct →
dust213–100.0217%24 Oct →
ancient13–30.0110%24 Oct →
office1–13-0.0512%18 Oct →
ancient6–13-0.063%13 Oct →
anubis10–13-0.027%13 Oct →
cache6–13-0.059%13 Oct →
nuke8–13-0.0814%11 Oct →
inferno6–13-0.088%11 Oct →
inferno11–13-0.0710%11 Oct →
dust213–7-0.0411%10 Oct →
vertigo13–11-0.056%29 Sept →
nuke15–15-0.0210%29 Sept →
mirage10–13-0.0112%29 Sept →
anubis12–16-0.0310%23 Sept →
cache13–10-0.0318%23 Sept →
nuke11–13-0.106%23 Sept →
mirage5–13-0.068%22 Sept →
anubis4–13-0.0314%22 Sept →
cache13–10-0.0612%22 Sept →
inferno8–13-0.0611%22 Sept →
overpass11–13-0.0415%22 Sept →
ancient13–9-0.0511%21 Sept →
cache6–13-0.0524%21 Sept →
anubis13–40.0118%21 Sept →
inferno0–2-0.080%21 Sept →
vertigo13–20.0414%20 Sept →
anubis13–4-0.0512%20 Sept →
mirage5–13-0.0210%7 Sept →
inferno8–13-0.0212%7 Sept →
nuke14–16-0.1010%5 Sept →
cache8–13-0.0614%5 Sept →
cache13–5-0.037%5 Sept →
nuke13–60.0120%4 Sept →
cache6–13-0.0615%4 Sept →
mirage13–11-0.059%2 Sept →
inferno8–13-0.0328%2 Sept →
mirage13–8-0.048%2 Sept →
inferno16–14-0.0314%1 Sept →
anubis9–13-0.0410%1 Sept →
nuke8–13-0.0717%1 Sept →
inferno8–130.0012%31 Aug →
dust213–30.029%31 Aug →
nuke13–10-0.069%31 Aug →
inferno13–1-0.106%31 Aug →
dust211–13-0.059%31 Aug →
anubis13–6-0.037%31 Aug →
inferno13–30.0821%31 Aug →
ancient13–6-0.0411%31 Aug →
ancient3–13-0.047%31 Aug →
anubis8–13-0.017%30 Aug →
cache16–14-0.028%30 Aug →
inferno13–6-0.0510%30 Aug →
mirage15–15-0.0611%30 Aug →
mirage13–4-0.059%30 Aug →
cache13–7-0.026%30 Aug →
nuke13–10-0.0818%30 Aug →
ancient6–13-0.088%30 Aug →
dust28–13-0.0313%30 Aug →
nuke13–3-0.037%27 Aug →
ancient13–5-0.022%27 Aug →
mirage15–15-0.0612%27 Aug →
ancient13–3-0.029%27 Aug →
mirage16–14-0.0315%27 Aug →
mirage13–1-0.084%27 Aug →
dust211–13-0.0514%27 Aug →
anubis13–30.0219%27 Aug →
ancient15–15-0.0315%26 Aug →
nuke16–13-0.059%26 Aug →
anubis13–50.079%26 Aug →
ancient13–16-0.038%26 Aug →
anubis13–80.0029%26 Aug →
dust211–13-0.057%26 Aug →
nuke9–13-0.0119%26 Aug →
anubis10–130.0514%26 Aug →
inferno11–13-0.0312%25 Aug →
nuke13–50.058%25 Aug →
ancient13–30.0118%25 Aug →
anubis13–70.0412%25 Aug →
nuke13–11-0.007%25 Aug →
mirage13–60.027%25 Aug →
mirage8–13-0.0716%25 Aug →
inferno5–13-0.0811%25 Aug →
inferno13–8-0.0823%25 Aug →
mirage13–80.0311%25 Aug →
nuke13–160.0111%25 Aug →
anubis13–9-0.0224%24 Aug →
mirage15–15-0.0815%24 Aug →
dust213–9-0.0717%24 Aug →
cache7–13-0.058%24 Aug →
ancient13–11-0.0116%24 Aug →
nuke11–13-0.0410%24 Aug →
nuke8–13-0.063%24 Aug →
inferno16–14-0.0510%12 Aug →
mirage10–13-0.069%12 Aug →
mirage6–13-0.0212%7 Aug →
nuke5–13-0.040%7 Aug →
cache15–15-0.016%5 Aug →

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 →

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