fugg

fugg — CS2 Stats

76561198045929064[U:1:85663336]Steam profile ↗✓ No bans

2,619Tracked matches43%Win rate2020Tracked since
CSDB Rating6.5 SolidPositional Player
Premier CS Rating22,633Top 25% of 206,528 CSDB-tracked playersPink band · top ~5.6% of ranked players (population est.)
CSDB Leaderboard#46782 of 254024 tracked
FaceitLevel 8 · 1,718 ELOTop 31.2% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 2026 (32 days ago). Ranks are recorded once per day this page is viewed.

+139Faceit ELO · 1,579 → 1,718

Rating over time

Premier CS Rating: 22,633 -1,151 20 May – 9 Sept · 13 days played
21,62024,675peak 24,67520 May9 Sept
24,675Peak Premier in tracked matches
1,718Highest Faceit ELO seen on CSDB
39Days played since 2026-05-20

Faceit ELO

  • At peak — 1,718
  • Next: Level 9 at 1,751 — 33 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-08-28
  • Level 7 first seen 2026-08-28

Premier CS Rating

  • 2,042 below peak (24,675)
  • -928 over 90 days
  • Next: Red band at 25,000 — 2,367 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-28
  • Purple band first seen 2026-08-28

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

Share this profile

CSDB.GGfuggFACEITLevel 8 · 1,718 ELOSTANDINGTop 31.2% of rankedPREMIER22,633 · Pink bandPEAK ELO1,718csdb.gg/stats

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Performance scores

Aim88
Positioning61
Utility45

0–100 skill scores via Leetify.

Recent form

COLD37–58–5Last 10037%Win rateWWLLLWLLLL

Last 10 vs previous 10: 0pp win rate · −0.03 avg rating · −7.2pp headshot accuracy · −12ms reaction

Win rate 0pp 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 -0.04
  • Avg headshot accuracy 22%
  • Avg reaction 494ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 521ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 22%
  • Avg reaction 526ms

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 (+1.6 against its own average).

Aim8.8
Utility4.5
Positioning6.1
Opening Duels3.3
Clutch4.0

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

ropz

Plays most like ropz 97% playstyle similarity

Most alike: opening-duel success, 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

Strengths

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

Areas to improve

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

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

Aim8.8
Positioning6.1
Utility4.5
Mechanics8.0
Opening Duels3.5
Win Impact2.6

Composite 6.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.02
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time531ms−18ms
first ⅓ avg 549ms → last ⅓ avg 531ms
Headshot accuracy20.4%+3.7%
first ⅓ avg 16.7% → last ⅓ avg 20.4%

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

0.31Best match rating · 9–2 · inferno, 9 Sept →
39%Best headshot accuracy · 9–13 · dust2, 9 Jul →
375msFastest reaction time · 3–9 · inferno, 29 Sept →
13–1Biggest win · dust2, 24 May →

Across the last 100 tracked matches.

Highlights

3Longest win streak
W2Current streak
5–5In matches decided by ≤2 rounds
8Overtime games

Map breakdown

dust2Best map · 67% over 15infernoWeakest map · 20% over 35
MapGradePlayedRecordWin rateAvg rating
infernoD357–2820%0.01
mirageC167–944%-0.02
dust2S1510–567%0.02
cacheB105–550%0.02
anubisC73–443%0.01
nukeD51–420%-0.01
ancientC52–340%-0.02
debris—21–150%0.02
overpass—20–20%-0.05
train—21–150%0.04
italy—10–10%0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 35). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

941Matches
50%Win rate
1.10Avg K/D
78.5ADR
47%Headshot %

Clutches & streaks

40%1v1 clutch win
21%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage23556%1.1215.7
Anubis9260%1.2016.5
Ancient8138%1.1217.0
Inferno7847%1.0515.7
Nuke5845%1.1315.5
Dust25143%1.0715.3
Overpass3546%1.1416.4
Vertigo1947%1.1015.2

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.

16.2%Headshot accuracy
40.4%Accuracy (enemy spotted)
43.1%Spray accuracy
86.0%Counter-strafing
9.0°Preaim
509msReaction time
36.8%T opening success
51.0%CT opening success
0.54Enemies flashed / flash
6.0%Flash assists
7.86HE damage / grenade
6.21Flashes / 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 36.832% — 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.

20% win rate across 35 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–60.0615%14 Oct →
inferno9–7-0.0327%14 Oct →
inferno2–9-0.1531%14 Oct →
inferno9–130.0410%29 Sept →
inferno3–9-0.1027%29 Sept →
inferno9–30.2713%28 Sept →
inferno6–9-0.0214%28 Sept →
inferno4–90.0017%28 Sept →
inferno7–90.1017%28 Sept →
inferno3–90.039%23 Sept →
debris2–9-0.1135%17 Sept →
cache2–130.0325%16 Sept →
inferno9–30.2330%16 Sept →
inferno4–9-0.0322%16 Sept →
inferno6–90.0624%15 Sept →
mirage13–10-0.0422%14 Sept →
inferno6–90.1522%10 Sept →
inferno1–9-0.0836%9 Sept →
inferno9–20.3114%9 Sept →
dust25–130.0221%8 Sept →
overpass7–9-0.0424%8 Sept →
nuke4–9-0.0017%8 Sept →
inferno9–13-0.0412%8 Sept →
inferno0–9-0.1720%8 Sept →
inferno4–90.0329%8 Sept →
italy10–130.0717%7 Sept →
cache13–100.0520%7 Sept →
inferno3–9-0.219%7 Sept →
inferno4–9-0.0619%7 Sept →
cache12–120.0421%4 Sept →
train9–130.0122%4 Sept →
inferno8–8-0.0514%4 Sept →
debris9–40.1618%4 Sept →
inferno8–80.049%4 Sept →
dust213–110.0516%2 Sept →
inferno2–13-0.0613%2 Sept →
inferno4–9-0.0720%2 Sept →
inferno6–130.107%1 Sept →
dust28–130.0918%1 Sept →
mirage6–130.0029%30 Aug →
anubis13–90.0220%29 Aug →
cache13–50.0822%29 Aug →
mirage6–13-0.0410%29 Aug →
mirage13–40.019%29 Aug →
inferno12–12-0.0110%28 Aug →
dust213–90.047%28 Aug →
inferno2–13-0.039%27 Aug →
train13–90.0724%27 Aug →
inferno3–9-0.0618%27 Aug →
inferno7–130.0714%27 Aug →
dust213–8-0.038%27 Aug →
cache6–130.0620%27 Aug →
inferno3–13-0.0618%26 Aug →
nuke16–140.0015%26 Aug →
cache8–13-0.0419%26 Aug →
dust216–130.0615%26 Aug →
mirage13–11-0.0510%26 Aug →
nuke7–130.0023%26 Aug →
inferno9–60.0916%25 Aug →
dust211–6-0.0324%25 Aug →
inferno3–120.0413%25 Aug →
inferno13–90.0115%23 Aug →
anubis4–13-0.0511%22 Aug →
anubis10–13-0.0113%22 Aug →
ancient4–13-0.0324%22 Aug →
dust29–13-0.0611%19 Aug →
cache13–110.0124%19 Aug →
dust213–70.0813%19 Aug →
dust210–130.0411%8 Aug →
mirage0–13-0.0813%8 Aug →
mirage10–130.0114%31 Jul →
inferno14–16-0.0011%30 Jul →
nuke6–130.0224%30 Jul →
cache13–16-0.0412%30 Jul →
mirage13–40.0924%30 Jul →
anubis0–13-0.0517%11 Jul →
mirage3–13-0.0821%11 Jul →
ancient13–90.0112%11 Jul →
anubis13–90.119%10 Jul →
mirage16–12-0.0212%10 Jul →
dust29–13-0.0339%9 Jul →
cache13–80.0111%9 Jul →
cache13–70.0424%9 Jul →
inferno13–70.0727%3 Jul →
mirage14–16-0.0120%18 Jun →
dust213–60.0425%18 Jun →
overpass5–13-0.0724%13 Jun →
ancient4–13-0.0514%30 May →
mirage14–160.026%30 May →
ancient13–50.0612%25 May →
anubis13–90.0731%25 May →
mirage13–10-0.0610%25 May →
ancient3–13-0.0812%24 May →
dust213–1-0.0022%24 May →
mirage9–13-0.0412%23 May →
mirage15–150.0310%23 May →
nuke7–13-0.0617%21 May →
mirage8–1-0.0613%21 May →
dust213–60.0119%20 May →
anubis2–13-0.0514%20 May →

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 →

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