дезоль

дезоль — CS2 Stats

GE76561199732418860[U:1:1772153132]Steam profile ↗✓ No bans

484Tracked matches48%Win rate2024Tracked since
1,071Hours in CS12Hrs last 2 wks
CSDB Rating6.9 SolidPositional Player
Premier CS Rating18,363Purple band · top ~15% of ranked players (population est.)
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (10 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 18,363 → 18,363
+3Tracked matches · now 484
+5.3ppWin rate · 42.9% → 48.1%

Rating over time

Premier CS Rating: 18,363 +2,314 15 Sept – 4 Nov · 12 days played
16,04918,576peak 18,57615 Sept4 Nov
18,923Peak Premier in tracked matches
37Days played since 2026-08-23

Premier CS Rating

  • 213 below peak (18,576)
  • +2,000 over 30 days · improving
  • Next: Pink band at 20,000 — 1,637 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-26
  • Blue band first seen 2026-09-26

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

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate56.4%44.4%46.9%above
Shot accuracy0.0%11.9%13.0%13.0% short
Kill/death ratio1.191.031.08above
Match win rate50.1%45.2%46.7%above

This profile matches the typical Pink band player on 3 of 4 comparable metrics.

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

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Performance scores

Aim85
Positioning75
Utility36

0–100 skill scores via Leetify.

Recent form

COLD51–41–8Last 10051%Win rateWTLLLLLLWL

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · −5.1pp headshot accuracy · −28ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 29%
  • Avg reaction 555ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 28%
  • Avg reaction 560ms

Last 20

  • 6–12–2 · 30% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 31%
  • Avg reaction 574ms

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 (+1.9 against its own average).

Aim8.5
Utility3.6
Positioning7.5
Opening Duels7.1
Clutch4.2

Sharp aimerLimited 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

s1mple

Plays most like s1mple 83% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution.

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

Strengths

Aim. Aim score of 85 — the mechanical foundation is a clear strength.

T openings. 74% T opening-duel success — entries that actually open the round.

Areas to improve

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

CT openings. Opening success drops from 74% on T to 54% on CT — first contacts on the defending side are being lost.

Reaction time. 565ms 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

Aim8.5
Positioning7.5
Utility3.6
Mechanics7.1
Opening Duels8.0
Win Impact4.4

Composite 6.9/10 (Solid), 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 rating0.05+0.03
first ⅓ avg 0.01 → last ⅓ avg 0.05
Reaction time576ms+31ms
first ⅓ avg 545ms → last ⅓ avg 576ms
Headshot accuracy30.7%+3.4%
first ⅓ avg 27.3% → last ⅓ avg 30.7%

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.

Personal bests

0.34Best match rating · 13–6 · dust2, 29 Sept →
53%Best headshot accuracy · 13–8 · dust2, 1 Nov →
438msFastest reaction time · 13–10 · mirage, 17 Oct →
13–2Biggest win · nuke, 1 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
7–5In matches decided by ≤2 rounds
2Overtime games

Map breakdown

nukeBest map · 55% over 11dust2Weakest map · 44% over 36
MapGradePlayedRecordWin rateAvg rating
dust2C3616–2044%0.05
mirageB3317–1652%0.04
nukeA116–555%0.04
infernoB105–550%-0.02
ancient—43–175%0.02
anubis—42–250%0.05
vertigo—11–0100%0.04
cache—11–0100%-0.13

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (44% over 36). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

29,799Lifetime kills
1.19K/D · Top 25% of Purple band
1,527Matches
50.1%Match win rate · Top 25% of Purple band
56.4%Headshot % · Top 10% of Purple band
0.0%Shot accuracy
4,767MVPs
542Hours (in match)
1,492Bombs planted
324Bombs defused

Most-used weapons

Lifetime map wins

3,978dust2
2,021inferno
1,169nuke
297vertigo
90office
22train
14italy
3ar_baggage

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

Faceit stats

Combat

116Matches
55%Win rate
1.19Avg K/D
89.1ADR
57%Headshot %

Clutches & streaks

41%1v1 clutch win
31%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage4556%1.2117.0
Dust23250%1.1917.7
Anubis1765%1.2617.1
Ancient1050%0.9918.9
Inferno786%1.3916.7
Nuke520%0.9516.4

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.

30.8%Headshot accuracy
35.4%Accuracy (enemy spotted)
34.0%Spray accuracy
81.9%Counter-strafing
9.4°Preaim
565msReaction time
74.5%T opening success
53.6%CT opening success
0.38Enemies flashed / flash
4.8%Flash assists
6.78HE damage / grenade
4.67Flashes / 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 0.3779 — below the 0.5 mark we flag

    Grenade Lineups →
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.

44% win rate across 36 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–90.1029%10 Nov →
dust212–120.0328%9 Nov →
dust24–100.0627%9 Nov →
dust29–130.0134%4 Nov →
mirage9–130.0130%4 Nov →
mirage1–130.0129%2 Nov →
dust28–130.0336%2 Nov →
ancient6–13-0.0413%2 Nov →
anubis13–90.0623%2 Nov →
inferno6–13-0.0635%1 Nov →
nuke12–16-0.0122%1 Nov →
anubis13–100.0925%1 Nov →
dust213–80.1153%1 Nov →
nuke7–130.0320%1 Nov →
inferno13–70.0632%1 Nov →
inferno11–13-0.0229%29 Oct →
dust212–120.0946%28 Oct →
dust29–13-0.0745%27 Oct →
dust210–13-0.0423%26 Oct →
mirage13–30.0239%26 Oct →
nuke13–30.0752%25 Oct →
dust213–70.1436%25 Oct →
mirage5–130.0237%25 Oct →
dust213–70.1128%25 Oct →
inferno9–130.1231%24 Oct →
mirage13–90.1320%24 Oct →
nuke12–120.1035%24 Oct →
dust213–80.0820%24 Oct →
mirage13–100.0622%22 Oct →
mirage13–30.2241%22 Oct →
mirage11–13-0.0023%22 Oct →
dust29–13-0.0420%22 Oct →
dust24–130.0332%22 Oct →
dust29–130.0234%20 Oct →
dust213–110.0431%19 Oct →
ancient13–100.0928%17 Oct →
mirage13–10-0.0227%17 Oct →
mirage2–8-0.0823%17 Oct →
mirage6–130.0117%17 Oct →
mirage12–120.1220%15 Oct →
mirage13–90.1723%15 Oct →
mirage12–12-0.0118%13 Oct →
dust27–130.0420%5 Oct →
dust213–50.0935%4 Oct →
nuke13–80.0933%1 Oct →
nuke13–20.0633%1 Oct →
mirage8–130.0425%1 Oct →
inferno13–10-0.150%1 Oct →
dust213–60.3439%29 Sept →
dust213–100.0237%29 Sept →
vertigo13–90.0439%28 Sept →
dust26–13-0.0319%28 Sept →
mirage13–90.0542%28 Sept →
mirage3–13-0.0630%27 Sept →
anubis4–130.0542%27 Sept →
anubis15–15-0.0033%26 Sept →
dust27–130.0645%26 Sept →
mirage13–10-0.0829%26 Sept →
mirage12–120.1225%25 Sept →
dust212–120.0641%25 Sept →
dust213–110.0932%24 Sept →
mirage11–130.1628%24 Sept →
ancient13–110.0232%24 Sept →
mirage13–11-0.0323%23 Sept →
mirage13–5-0.0240%23 Sept →
dust29–130.0443%22 Sept →
mirage13–100.0117%22 Sept →
mirage13–10-0.0233%22 Sept →
nuke6–9-0.0524%21 Sept →
inferno4–9-0.0950%21 Sept →
inferno4–9-0.0922%21 Sept →
inferno9–30.0732%21 Sept →
inferno9–60.0643%21 Sept →
nuke9–10.3050%21 Sept →
inferno9–1-0.1136%21 Sept →
nuke2–9-0.240%21 Sept →
dust27–0-0.0240%21 Sept →
dust20–13-0.0328%21 Sept →
ancient13–80.0023%21 Sept →
mirage0–3-0.080%21 Sept →
nuke13–90.0147%15 Sept →
dust213–90.0426%15 Sept →
dust211–130.0218%14 Sept →
dust213–100.0520%14 Sept →
mirage13–110.0630%3 Sept →
dust23–130.0642%3 Sept →
dust213–40.1429%3 Sept →
mirage8–130.1026%2 Sept →
dust24–13-0.0216%2 Sept →
nuke13–110.0723%2 Sept →
cache13–9-0.130%26 Aug →
mirage0–130.0733%26 Aug →
mirage13–90.0126%26 Aug →
dust213–60.1732%26 Aug →
dust213–20.0227%26 Aug →
mirage5–13-0.0429%25 Aug →
mirage13–60.0321%25 Aug →
dust211–130.0323%24 Aug →
mirage13–80.0537%24 Aug →
dust213–110.0417%23 Aug →

Match data via Leetify.

Recent teammates

Milestones

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

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