fabulousss

fabulousss — CS2 Stats

CZ76561198287294003[U:1:327028275]Steam profile ↗✓ No bans

2,679Tracked matches43%Win rate2020Tracked since
20,599Hours in CS
CSDB Rating6.6 SolidSupport
FaceitLevel 10 · 3,063 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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 10 median
Headshot rate67.5%50.9%
Shot accuracy16.5%13.7%
Kill/death ratio0.941.09
Match win rate52.1%48.4%

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CSDB.GGfabulousssFACEITLevel 10 · 3,063 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim87
Positioning51
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY50–50Last 10050%Win rateWLLWLLWWWL

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · +4.7pp headshot accuracy · +19ms 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 -0.02
  • Avg headshot accuracy 25%
  • Avg reaction 633ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 30%
  • Avg reaction 592ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 28%
  • Avg reaction 583ms

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 (+1.2 against its own average).

Aim8.7
Utility5.7
Positioning5.1
Opening Duels3.1
Clutch4.2

Sharp aimerStrong 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

NiKo

Plays most like NiKo 92% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower opening-duel success; lower positioning 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

Strengths

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 54% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 572ms 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

Aim8.7
Positioning5.1
Utility5.7
Mechanics8.2
Opening Duels3.1
Win Impact2.8

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time571ms+15ms
first ⅓ avg 557ms → last ⅓ avg 571ms
Headshot accuracy27.5%+2.2%
first ⅓ avg 25.3% → last ⅓ avg 27.5%

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

0.29Best match rating · 13–5 · mirage, 4 Feb →
63%Best headshot accuracy · 14–16 · anubis, 10 Jun →
359msFastest reaction time · 4–13 · ancient, 2 Jun →
13–0Biggest win · mirage, 16 Apr →

Across the last 100 tracked matches.

Highlights

4Longest win streak
9–12In matches decided by ≤2 rounds
15Overtime games

Map breakdown

nukeBest map · 75% over 8infernoWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
mirageB2311–1248%0.01
ancientB209–1145%0.01
anubisA1810–856%0.04
dust2B157–847%0.03
nukeS86–275%0.03
infernoD71–614%0.01
overpassS64–267%0.02
vertigo—21–150%-0.01
train—11–0100%0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

419,052Lifetime kills
0.94K/D
9,008Matches
52.1%Match win rate · Top 25% of Level 10 players
67.5%Headshot % · Top 5% of Level 10 players
16.5%Shot accuracy · Top 25% of Level 10 players
41,289MVPs
20,599Hours (in match)
10,709Bombs planted
5,218Bombs defused

Most-used weapons

AK-47205,418
AWP32,588
Glock-1810,372
Knife6,061
FAMAS4,824
SG 5533,392

Lifetime map wins

22,281inferno
11,433dust2
8,241vertigo
8,062nuke
3,393train
556cbble
165office
47lake

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

Faceit stats

Combat

4,850Matches
53%Win rate
1.25Avg K/D
90.0ADR
54%Headshot %

Clutches & streaks

41%1v1 clutch win
23%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage39660%1.3118.2
Ancient23558%1.3918.5
Dust219749%1.3418.1
Anubis19555%1.3619.1
Nuke11353%1.3118.2
Overpass7756%1.4519.8
Inferno6048%1.2116.7
Vertigo4643%1.1215.9

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.

27.1%Headshot accuracy
33.1%Accuracy (enemy spotted)
38.3%Spray accuracy
87.0%Counter-strafing
8.2°Preaim
572msReaction time
20.6%T opening success
54.5%CT opening success
0.62Enemies flashed / flash
6.5%Flash assists
8.21HE damage / grenade
9.29Flashes / 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

    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 20.6389% — below the 40% mark we flag

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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–50.0517%16 Jul →
mirage5–13-0.0733%2 Jul →
inferno6–13-0.0632%2 Jul →
overpass13–70.0223%2 Jul →
ancient7–13-0.0421%1 Jul →
dust210–13-0.0446%30 Jun →
dust216–13-0.0025%30 Jun →
mirage13–90.0244%25 Jun →
ancient13–40.1035%24 Jun →
ancient4–13-0.0525%20 Jun →
nuke13–70.0719%11 Jun →
ancient16–120.0624%9 Jun →
mirage13–8-0.0617%28 May →
mirage10–13-0.0638%27 May →
dust213–16-0.0327%24 May →
mirage13–10-0.0322%24 May →
mirage11–13-0.0224%19 May →
mirage6–13-0.0019%18 May →
mirage11–13-0.0533%5 May →
ancient10–130.0431%4 May →
dust216–140.0632%1 May →
inferno6–130.0326%24 Apr →
ancient1–13-0.0827%23 Apr →
anubis13–10-0.0517%20 Apr →
mirage13–00.0324%16 Apr →
dust23–130.0136%12 Apr →
overpass13–100.0030%1 Apr →
dust26–130.0522%24 Mar →
ancient10–13-0.0521%23 Mar →
ancient14–160.0121%23 Mar →
ancient13–100.0624%21 Mar →
inferno13–40.0634%21 Mar →
nuke8–130.0436%16 Mar →
dust213–100.0746%10 Mar →
dust213–20.0326%10 Mar →
ancient13–110.0933%4 Mar →
nuke16–130.0627%23 Feb →
nuke14–160.0225%5 Feb →
anubis13–60.1636%4 Feb →
mirage13–50.2945%4 Feb →
dust29–130.0962%17 Jan →
anubis13–70.1131%17 Jan →
inferno20–220.0125%23 Dec →
ancient6–13-0.0327%14 Aug →
train16–140.0038%7 Aug →
overpass7–13-0.0016%4 Aug →
mirage14–160.0123%3 Aug →
anubis13–50.0830%10 Jun →
anubis14–160.0263%10 Jun →
mirage13–110.0746%8 Jun →
ancient4–13-0.0525%2 Jun →
ancient10–130.0235%27 May →
ancient13–9-0.0045%26 May →
dust216–130.0321%22 May →
ancient13–110.1425%30 Apr →
anubis7–13-0.0140%22 Apr →
overpass13–50.0430%15 Apr →
anubis11–130.0923%13 Feb →
mirage13–40.1450%13 Feb →
inferno4–13-0.0025%4 Feb →
mirage11–130.0123%11 Jan →
dust214–16-0.0245%10 Jan →
dust24–13-0.0432%10 Dec →
nuke13–60.0428%4 Dec →
mirage13–110.0334%3 Dec →
dust213–50.0937%2 Dec →
anubis13–110.0425%30 Nov →
mirage2–13-0.0422%17 Aug →
inferno8–130.0331%17 Aug →
ancient10–13-0.0637%7 Aug →
inferno11–13-0.0129%6 Aug →
dust28–13-0.0526%29 Jul →
ancient13–60.0627%11 Jul →
nuke13–4-0.0413%3 Jun →
mirage13–80.0225%3 Jun →
anubis7–13-0.0416%20 May →
dust213–30.1938%6 May →
mirage10–13-0.0118%17 Apr →
vertigo13–30.0214%17 Apr →
mirage4–13-0.0719%15 Apr →
overpass13–30.0414%23 Mar →
nuke13–80.0123%10 Mar →
mirage10–13-0.0134%10 Mar →
ancient13–80.0114%10 Mar →
anubis13–40.0727%10 Mar →
anubis13–11-0.0122%10 Mar →
ancient5–13-0.0530%10 Mar →
mirage13–110.0322%10 Mar →
anubis6–13-0.0441%9 Mar →
nuke13–70.0216%9 Mar →
anubis12–160.0118%9 Mar →
anubis5–130.0036%8 Mar →
anubis13–80.1126%8 Mar →
ancient13–70.0738%8 Mar →
overpass11–130.0429%8 Mar →
anubis13–160.1223%8 Mar →
mirage7–13-0.0015%8 Mar →
vertigo10–13-0.0434%8 Mar →
mirage13–6-0.0124%8 Mar →
anubis13–90.0232%8 Mar →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 103K ELO Club1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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