sirdalud quitter

sirdalud quitter — CS2 Stats

FI76561197989306109[U:1:29040381]Steam profile ↗✓ No bans

1,385Tracked matches73%Win rate2020Tracked since
CSDB Rating7.5 StrongSupport
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Sep 2026 (33 days ago). Ranks are recorded once per day this page is viewed.

+47Tracked matches · now 1,385
+4.4ppWin rate · 69.0% → 73.3%

Rating over time

Premier CS Rating: 26,805 -696 7 Sept – 17 Sept · 4 days played
26,38327,501peak 27,5017 Sept17 Sept
Faceit ELO: 2,862 +0 5 Sept – 30 Sept · 4 observations
2,8622,862peak 2,8625 Sept30 Sept
27,712Peak Premier in tracked matches
2,862Highest Faceit ELO seen on CSDB
46Days played since 2025-09-07

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGsirdalud quitterFACEITLevel 10STANDINGTop 12.4% of rankedPEAK ELO2,862csdb.gg/stats

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Performance scores

Aim84
Positioning65
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY61–35–4Last 10061%Win rateWWWLLWWLWL

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · +1.6pp headshot accuracy · −50ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 495ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 485ms

Last 20

  • 14–6 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 509ms

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: Support — Utility contribution stands above the rest of this profile (+0.9 against its own average).

Aim8.4
Utility6.7
Positioning6.5
Opening Duels5.8
Clutch4.2

Strong CT-side opener

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

device

Plays most like device 94% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: 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

Strengths

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

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

Aim8.4
Positioning6.5
Utility6.7
Mechanics6.7
Opening Duels6.5
Win Impact10.0

Composite 7.5/10 (Strong), 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 rating0.02−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time510ms−32ms
first ⅓ avg 541ms → last ⅓ avg 510ms
Headshot accuracy23.3%−0.9%
first ⅓ avg 24.3% → last ⅓ avg 23.3%

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

0.20Best match rating · 13–1 · cache, 28 May →
50%Best headshot accuracy · 7–1 · dust2, 1 Aug →
352msFastest reaction time · 13–3 · dust2, 11 Aug →
13–1Biggest win · cache, 20 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W3Current streak
8–7In matches decided by ≤2 rounds
2Overtime games

Map breakdown

anubisBest map · 80% over 5dust2Weakest map · 55% over 20
MapGradePlayedRecordWin rateAvg rating
cacheA5132–1963%0.03
dust2A2011–955%0.03
infernoS107–370%0.00
anubisS54–180%-0.01
nuke—42–250%0.02
mirage—41–325%0.00
ancient—32–167%0.06
train—21–150%0.01
overpass—11–0100%0.10

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (55% over 20). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,415Matches
58%Win rate
1.46Avg K/D
91.3ADR
47%Headshot %

Clutches & streaks

41%1v1 clutch win
20%1v2 clutch win
13Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Dust214653%1.2518.1
Inferno11064%1.3818.8
Nuke6354%1.2117.5
Train4967%1.3819.0
Anubis3148%1.0717.6
Ancient2934%1.0315.3
Mirage2955%1.2218.3
Overpass2556%1.3316.7

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.

22.5%Headshot accuracy
36.1%Accuracy (enemy spotted)
34.8%Spray accuracy
80.3%Counter-strafing
8.6°Preaim
509msReaction time
51.1%T opening success
61.2%CT opening success
0.57Enemies flashed / flash
11.9%Flash assists
8.22HE damage / grenade
13.13Flashes / match

Recent matches

MapScoreRatingHS%Date
cache13–100.0013%1 Nov →
anubis13–11-0.0312%31 Oct →
anubis19–150.0316%31 Oct →
nuke9–130.0229%31 Oct →
dust29–13-0.0136%31 Oct →
inferno13–11-0.0446%27 Oct →
cache13–30.0729%27 Oct →
mirage7–13-0.018%21 Oct →
inferno13–80.0125%6 Oct →
dust211–130.0619%2 Oct →
inferno13–30.0514%2 Oct →
cache13–70.0518%1 Oct →
train11–130.0328%30 Sept →
anubis13–10-0.0124%29 Sept →
cache13–11-0.0420%29 Sept →
dust213–20.0430%29 Sept →
cache13–6-0.0215%28 Sept →
mirage8–130.0829%28 Sept →
dust213–80.0823%28 Sept →
inferno13–50.0117%27 Sept →
cache13–90.1021%27 Sept →
cache2–130.0118%26 Sept →
cache13–10.0639%20 Aug →
cache13–90.0825%19 Aug →
nuke13–40.0519%19 Aug →
inferno13–60.0520%12 Aug →
cache13–20.0118%11 Aug →
nuke11–13-0.0118%11 Aug →
cache13–50.0016%11 Aug →
dust213–30.0640%11 Aug →
cache13–8-0.0225%10 Aug →
dust213–70.0330%10 Aug →
mirage0–5-0.1033%7 Aug →
dust213–30.0721%2 Aug →
ancient13–8-0.0026%1 Aug →
mirage13–80.0537%1 Aug →
dust27–10.0650%1 Aug →
cache7–13-0.0326%1 Aug →
cache8–13-0.0215%18 Jun →
cache12–120.0522%18 Jun →
anubis7–13-0.0122%17 Jun →
cache13–110.0325%17 Jun →
train13–4-0.0118%17 Jun →
anubis13–9-0.0421%16 Jun →
inferno12–16-0.0023%16 Jun →
cache12–12-0.0017%16 Jun →
dust24–13-0.0422%16 Jun →
cache13–40.0519%16 Jun →
inferno13–8-0.0418%15 Jun →
nuke13–50.0426%15 Jun →
cache0–2-0.010%15 Jun →
cache13–90.0922%15 Jun →
cache9–13-0.0815%14 Jun →
cache5–130.1526%9 Jun →
cache13–110.0718%9 Jun →
dust27–130.0020%7 Jun →
dust29–20.0335%7 Jun →
dust213–70.0628%6 Jun →
cache13–90.0936%6 Jun →
cache7–13-0.0217%4 Jun →
cache13–50.0320%4 Jun →
cache13–1-0.0315%2 Jun →
cache9–20.1241%2 Jun →
cache9–13-0.0128%2 Jun →
cache13–70.0621%2 Jun →
cache6–130.0221%1 Jun →
cache10–130.0633%31 May →
cache13–80.0228%31 May →
cache13–100.0327%30 May →
cache13–110.0618%30 May →
cache13–40.1227%30 May →
cache3–13-0.0628%28 May →
cache13–10.2048%28 May →
cache11–130.0917%27 May →
cache10–130.029%17 May →
cache12–120.0129%17 May →
cache13–10-0.0124%17 May →
cache13–8-0.0824%16 May →
dust213–70.0124%15 May →
cache13–60.0017%15 May →
cache8–60.0226%15 May →
cache13–11-0.0028%15 May →
cache12–120.0319%15 May →
dust26–13-0.0321%14 May →
cache11–130.0328%14 May →
cache13–90.0728%14 May →
cache10–130.1526%14 May →
cache13–30.0824%14 May →
dust29–130.0424%14 Oct →
dust23–13-0.0228%18 Sept →
dust213–40.1024%17 Sept →
dust26–130.0336%14 Sept →
inferno11–13-0.0218%11 Sept →
ancient2–50.0622%10 Sept →
dust24–13-0.0227%7 Sept →
dust213–7-0.0222%7 Sept →
inferno13–8-0.0217%7 Sept →
overpass13–20.1014%7 Sept →
inferno2–13-0.0024%7 Sept →
ancient13–20.1325%7 Sept →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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