ThUg_-

ThUg_- — CS2 Stats

US76561199209350336[U:1:1249084608]Steam profile ↗✓ No bans

554Tracked matches39%Win rate2022Tracked since
922Hours in CS3Hrs last 2 wks
CSDB Rating4.1 DevelopingPassive Rifler
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=1,149), 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 3 medianLevel 4 medianvs Level 4
Headshot rate41.4%42.2%42.7%1.3% short
Shot accuracy14.8%11.9%10.8%above
Kill/death ratio0.840.981.000.15 short
Match win rate38.0%43.6%44.1%6.1% short

This profile matches the typical Level 4 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGThUg_-FACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim64
Positioning36
Utility8

0–100 skill scores via Leetify.

Recent form

COLD44497Last 10044%Win rateLLLTWLLLWL

Last 10 vs previous 10: -10pp win rate · -0.00 avg rating

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim6.4
Aggression2.1
Utility0.8
Positioning3.6
Opening Duels0.0
Clutch6.4

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.

Your pro match

NiKo

Plays most like NiKo 65% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower opening-fight frequency; 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

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. 624ms 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

Aim6.4
Positioning3.6
Utility0.8
Mechanics7.6
Opening Duels0.4
Win Impact1.4

Composite 4.1/10 (Developing), 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 rating0.00+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time628ms+18ms
first ⅓ avg 610ms → last ⅓ avg 628ms
Headshot accuracy18.1%+2.2%
first ⅓ avg 15.9% → last ⅓ avg 18.1%

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.

Highlights

0.13Best rating — mirage 13–2
131Biggest win — mirage
6Longest win streak
L3Current streak
711In matches decided by ≤2 rounds
12Overtime games

Map breakdown

overpassBest map · 60% over 5dust2Weakest map · 26% over 19
MapGradePlayedRecordWin rateAvg rating
mirageB30151550%0.00
dust2D1951426%-0.00
ancientB189950%0.00
infernoA116555%-0.02
nukeC104640%0.01
overpassA53260%-0.00
train31233%-0.01
cache21150%0.02
office1010%0.02
vertigo1010%0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (26% over 19). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

18,980Lifetime kills
0.84K/D
1,251Matches
38.0%Match win rate
41.4%Headshot %
14.8%Shot accuracy · Top 50% of Level 3 players
1,363MVPs
428Hours (in match)
372Bombs planted
179Bombs defused

Most-used weapons

Lifetime map wins

1,377inferno
1,085dust2
1,066nuke
637vertigo
43train
25safehouse
12office
8lake

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

Faceit stats

Combat

204Matches
48%Win rate
1.00Avg K/D
79.8ADR
37%Headshot %

Clutches & streaks

52%1v1 clutch win
9%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2952%1.0615.3
Inferno2050%1.4715.6
Ancient1759%1.3416.6
Vertigo838%1.0616.4
Anubis667%1.1917.2
Nuke4100%1.3515.8
Dust2333%0.7611.0
Overpass1100%1.4722.0

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.

17.9%Headshot accuracy
33.4%Accuracy (enemy spotted)
34.1%Spray accuracy
84.0%Counter-strafing
10.2°Preaim
624msReaction time
23.8%T opening success
33.3%CT opening success
0.14Enemies flashed / flash
0.0%Flash assists
7.17HE damage / grenade
0.85Flashes / 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 0.1407 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 23.7781% — below the 40% mark we flag

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.

26% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
office6–130.0243%19 Aug
dust21–13-0.1119%19 Aug
mirage11–13-0.0516%19 Aug
ancient12–120.0516%19 Aug
train13–6-0.0113%19 Aug
mirage7–130.0021%3 Aug
ancient4–13-0.0228%3 Aug
ancient7–13-0.0212%21 Jul
nuke13–90.0222%21 Jul
mirage11–130.0014%21 Jul
dust21–13-0.0210%21 Jul
mirage9–13-0.0511%20 Jul
ancient11–130.0430%20 Jul
inferno5–13-0.0215%20 Jul
cache13–80.0215%20 Jul
dust27–13-0.0220%17 Jul
mirage7–13-0.0222%17 Jul
ancient13–110.0220%17 Jul
dust213–10-0.0711%16 Jul
dust212–12-0.019%16 Jul
vertigo3–90.0515%30 Jun
cache7–130.0219%30 Jun
nuke10–80.0516%30 Jun
inferno13–110.059%30 Jun
ancient10–130.0611%29 Jun
dust213–40.1026%29 Jun
nuke13–100.1017%29 Jun
mirage13–80.0234%29 Jun
nuke11–13-0.0111%29 Jun
mirage13–6-0.0325%29 Jun
mirage6–13-0.0216%28 Jun
mirage13–8-0.0116%28 Jun
dust26–130.0116%27 Jun
ancient13–9-0.038%27 Jun
mirage13–40.0423%27 Jun
ancient13–100.0010%27 Jun
nuke9–13-0.0320%27 Jun
dust26–13-0.0916%11 Feb
ancient15–15-0.0221%3 Feb
dust213–40.0920%3 Feb
dust22–13-0.050%3 Feb
dust213–80.0326%3 Feb
nuke13–20.1018%3 Feb
dust29–13-0.0220%2 Feb
mirage3–13-0.0216%2 Feb
dust213–90.1124%29 Jan
overpass13–50.0822%29 Jan
dust211–13-0.0224%28 Jan
inferno4–13-0.0621%28 Jan
dust28–13-0.0116%28 Jan
nuke6–5-0.0113%2 Jan
ancient15–15-0.0415%28 Dec
inferno14–16-0.0911%28 Dec
mirage7–13-0.039%23 Dec
inferno13–9-0.0412%23 Dec
overpass15–15-0.0011%23 Dec
mirage13–5-0.0133%23 Dec
overpass13–100.029%23 Dec
ancient12–16-0.0422%23 Dec
nuke15–15-0.0311%23 Dec
train7–100.0720%22 Dec
ancient16–120.0313%22 Dec
mirage13–10.0924%22 Dec
nuke1–8-0.088%22 Dec
mirage13–50.0621%22 Dec
mirage13–11-0.0117%20 Dec
overpass8–13-0.0627%20 Dec
dust23–100.0119%20 Dec
mirage13–9-0.0128%19 Dec
inferno1–10-0.0815%19 Dec
mirage7–13-0.1319%18 Dec
overpass13–3-0.0518%8 Dec
ancient16–140.0011%26 Mar
dust211–130.0112%17 Mar
ancient13–5-0.014%15 Mar
inferno1–7-0.0811%15 Mar
inferno13–5-0.049%12 Mar
mirage6–130.0312%12 Mar
mirage11–130.0114%12 Mar
mirage13–90.0219%11 Mar
mirage13–40.0525%11 Mar
mirage16–140.0011%11 Mar
ancient13–80.008%11 Mar
mirage7–00.073%11 Mar
inferno13–60.0511%11 Mar
dust23–100.0338%11 Mar
dust211–13-0.0019%11 Mar
mirage15–15-0.0111%11 Mar
inferno16–14-0.0522%10 Mar
ancient13–60.0315%10 Mar
mirage13–90.0113%10 Mar
mirage1–130.0125%9 Mar
inferno13–60.1014%9 Mar
mirage13–20.1317%9 Mar
ancient11–130.007%7 Mar
nuke6–13-0.0318%2 Mar
mirage2–13-0.0721%18 Feb
train4–8-0.0725%18 Feb
ancient13–4-0.0311%18 Feb
mirage12–16-0.0420%18 Feb

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 →