Fury

Fury — CS2 Stats

76561198174330819[U:1:214065091]Steam profile ↗✓ No bans

1,187Tracked matches62%Win rate2020Tracked since
4,345Hours in CS16Hrs last 2 wks
CSDB Rating7.2 StrongPositional Player
Premier CS Rating20,000Top 50% of 201,122 CSDB-tracked playersPink band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#79523 of 247983 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 20,000 -1,460 23 Jun – 1 Oct · 11 days played
19,99922,670peak 22,67023 Jun1 Oct
22,670Peak Premier in tracked matches
24Days played since 2025-06-23

Premier CS Rating

  • 2,670 below peak (22,670)
  • Next: Red band at 25,000 — 5,000 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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 Level 9 among CSDB-tracked players (n=14,336), 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 9 medianLevel 10 medianvs Level 10
Headshot rate40.1%48.2%50.9%10.9% short
Shot accuracy18.4%13.3%13.8%above
Kill/death ratio1.041.071.090.05 short
Match win rate46.2%46.9%48.4%2.2% short

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGFuryFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER20,000 · Pink bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim78
Positioning73
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY53–41–6Last 10053%Win rateLLWLWWWWWL

Last 10 vs previous 10: −10pp win rate · +0.03 avg rating · +2.2pp headshot accuracy · +66ms 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 16%
  • Avg reaction 603ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 599ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 566ms

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 (+2.8 against its own average).

Aim7.8
Utility4.2
Positioning7.3
Opening Duels6.4
Clutch0.0

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.

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

donk

Plays most like donk 93% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; 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

T openings. 69% 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.

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

Aim7.8
Positioning7.3
Utility4.2
Mechanics6.1
Opening Duels8.5
Win Impact9.0

Composite 7.2/10 (Strong), 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+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time558ms−72ms
first ⅓ avg 630ms → last ⅓ avg 558ms
Headshot accuracy17.7%−2.1%
first ⅓ avg 19.9% → last ⅓ avg 17.7%

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

0.14Best match rating · 13–8 · anubis, 10 Jul →
41%Best headshot accuracy · 13–3 · cache, 1 May →
359msFastest reaction time · 9–4 · inferno, 15 Sept →
13–2Biggest win · mirage, 1 May →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
8–7In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 67% over 15dust2Weakest map · 45% over 11
MapGradePlayedRecordWin rateAvg rating
mirageB4321–2249%0.01
anubisS1510–567%0.02
dust2B115–645%0.00
ancientA74–357%-0.03
nukeA74–357%-0.00
infernoA74–357%0.02
cacheS64–267%0.03
vertigo—20–20%-0.00
office—10–10%0.07
train—11–0100%0.09

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (45% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

123,471Lifetime kills
1.04K/D
6,782Matches
46.2%Match win rate
40.1%Headshot %
18.4%Shot accuracy · Top 10% of Level 9 players
15,955MVPs
2,237Hours (in match)
5,652Bombs planted
1,207Bombs defused

Most-used weapons

AK-4723,597
AWP11,142
SG 5537,429
AUG6,263
FAMAS4,305
MP93,937

Lifetime map wins

7,441dust2
6,963inferno
1,727vertigo
1,472nuke
1,403train
1,090office
554cbble
274safehouse

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

Faceit stats

Combat

224Matches
56%Win rate
1.14Avg K/D
95.4ADR
46%Headshot %

Clutches & streaks

20%1v1 clutch win
29%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage2650%1.2118.6
Ancient1233%0.8613.8
Inferno1155%1.2418.3
Vertigo933%1.0316.8
Nuke425%1.2220.3
Dust22100%2.3820.0
Anubis1100%0.9327.0
Overpass1100%1.3117.0

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.

16.6%Headshot accuracy
38.2%Accuracy (enemy spotted)
40.6%Spray accuracy
77.4%Counter-strafing
9.0°Preaim
565msReaction time
69.5%T opening success
58.5%CT opening success
0.51Enemies flashed / flash
8.5%Flash assists
12.73HE damage / grenade
4.53Flashes / match

Recommended for you

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.

45% win rate across 11 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
ancient11–13-0.0310%1 Oct →
anubis8–130.0216%1 Oct →
anubis13–80.0417%1 Oct →
dust210–130.1017%30 Sept →
nuke13–7-0.0218%30 Sept →
nuke13–40.0928%30 Sept →
dust213–70.0326%30 Sept →
mirage13–4-0.0214%28 Sept →
ancient13–60.0722%28 Sept →
cache11–13-0.0113%28 Sept →
mirage13–70.0219%28 Sept →
anubis5–130.0411%26 Sept →
nuke13–9-0.0011%26 Sept →
dust29–130.0215%26 Sept →
cache16–140.0115%26 Sept →
mirage13–11-0.0313%26 Sept →
mirage13–11-0.0418%25 Sept →
inferno13–11-0.0420%25 Sept →
dust28–13-0.0320%24 Sept →
ancient13–110.0216%24 Sept →
vertigo12–12-0.0016%24 Sept →
mirage13–60.0411%24 Sept →
mirage7–130.099%24 Sept →
mirage11–130.048%24 Sept →
vertigo7–13-0.007%24 Sept →
mirage5–13-0.104%18 Sept →
dust213–6-0.0127%18 Sept →
anubis13–5-0.0317%18 Sept →
anubis13–40.0232%18 Sept →
anubis13–70.0135%15 Sept →
inferno9–40.1024%15 Sept →
mirage3–13-0.0739%15 Sept →
mirage10–13-0.0319%9 Sept →
mirage1–4-0.0317%4 Sept →
office12–120.0722%4 Sept →
cache13–30.1029%4 Sept →
mirage3–130.0127%4 Sept →
dust215–15-0.0921%4 Sept →
anubis7–13-0.0123%28 Aug →
mirage13–8-0.0122%28 Aug →
cache11–13-0.0233%27 Aug →
mirage13–20.1032%1 May →
mirage13–100.0314%1 May →
cache13–30.0841%1 May →
cache13–60.0120%1 May →
mirage7–130.0120%25 Apr →
mirage13–40.0219%25 Apr →
mirage11–13-0.0316%25 Apr →
mirage13–70.0732%25 Apr →
ancient0–13-0.1015%25 Apr →
nuke13–60.0012%10 Oct →
mirage9–13-0.0416%10 Oct →
mirage13–80.0428%11 Jul →
ancient13–5-0.0114%11 Jul →
mirage7–13-0.0219%11 Jul →
mirage13–90.0713%11 Jul →
anubis13–10-0.0114%11 Jul →
mirage5–13-0.0518%11 Jul →
mirage13–70.0518%11 Jul →
mirage13–20.0623%10 Jul →
anubis13–70.0524%10 Jul →
dust213–11-0.0111%10 Jul →
mirage8–13-0.0517%10 Jul →
nuke7–13-0.0818%10 Jul →
mirage15–150.0414%10 Jul →
anubis13–80.1417%10 Jul →
anubis13–8-0.0316%10 Jul →
mirage13–5-0.0316%10 Jul →
inferno10–130.0819%10 Jul →
mirage13–110.1124%10 Jul →
inferno13–70.0130%5 Jul →
dust28–13-0.0323%5 Jul →
mirage13–5-0.0214%5 Jul →
mirage1–13-0.0216%5 Jul →
mirage13–90.0326%5 Jul →
anubis5–13-0.0217%5 Jul →
nuke0–13-0.0718%5 Jul →
dust213–80.0632%5 Jul →
nuke13–160.0720%5 Jul →
mirage15–150.0023%2 Jul →
mirage14–160.0613%1 Jul →
ancient9–13-0.1217%1 Jul →
inferno12–16-0.0012%1 Jul →
train13–60.0921%29 Jun →
dust210–13-0.0119%28 Jun →
mirage7–13-0.0222%28 Jun →
ancient13–11-0.0311%28 Jun →
inferno5–13-0.0316%25 Jun →
anubis13–80.0630%25 Jun →
mirage9–13-0.079%25 Jun →
dust211–6-0.0122%23 Jun →
mirage13–90.0313%23 Jun →
anubis13–10-0.0122%23 Jun →
mirage8–13-0.0232%23 Jun →
mirage13–70.0619%23 Jun →
mirage13–60.0818%23 Jun →
mirage4–13-0.0415%23 Jun →
mirage14–160.0329%23 Jun →
inferno13–80.0018%23 Jun →
anubis15–150.0520%23 Jun →

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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