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duf

duf — CS2 Stats

US76561197963069957[U:1:2804229]Steam profile ↗✓ No bans

2,852Tracked matches46%Win rate2020Tracked since
596,523Hours in CS
CSDB Rating6.8 SolidPositional Player
CSDB Leaderboard#70840 of 252241 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 20,725 -4,274 22 Feb – 6 Jul · 16 days played
20,72525,770peak 25,77022 Feb6 Jul
25,882Peak Premier in tracked matches
38Days played since 2026-02-22

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 30 days vs previous 30

No matches recorded between 14 Sep 2026 and 16 Oct 2026.

Measured 14 Sep 2026 → 16 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=29,986), 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 rate100.0%50.9%
Shot accuracy97935.0%13.7%
Kill/death ratio10715.881.09
Match win rate100.0%48.4%

Share this profile

CSDB.GGdufFACEITLevel 10STANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim88
Positioning73
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY45–50–5Last 10045%Win rateLLWWLWWLWL

Last 10 vs previous 10: +10pp win rate · −0.05 avg rating · +5.0pp headshot accuracy · −49ms 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 0.00
  • Avg headshot accuracy 24%
  • Avg reaction 422ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 26%
  • Avg reaction 446ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 24%
  • Avg reaction 471ms

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 against its own average).

Aim8.8
Utility5.3
Positioning7.3
Opening Duels6.4
Clutch6.0

Sharp aimerEffective flashesLimited 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

s1mple

Plays most like s1mple 95% playstyle similarity

Most alike: opening-duel success, 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 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
Positioning7.3
Utility5.3
Mechanics6.4
Opening Duels5.4
Win Impact3.8

Composite 6.8/10 (Solid), 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 rating0.03+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.03
Reaction time492ms−18ms
first ⅓ avg 509ms → last ⅓ avg 492ms
Headshot accuracy23.0%+0.4%
first ⅓ avg 22.6% → last ⅓ avg 23.0%

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

0.16Best match rating · 6–13 · anubis, 5 Apr →
58%Best headshot accuracy · 13–7 · anubis, 5 Apr →
313msFastest reaction time · 6–13 · anubis, 3 Apr →
13–2Biggest win · cache, 29 Apr →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
11–5In matches decided by ≤2 rounds
9Overtime games

Map breakdown

cacheBest map · 100% over 9infernoWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
mirageB2411–1346%0.01
anubisC167–944%0.03
dust2D124–833%-0.01
ancientC125–742%0.01
nukeC104–640%0.04
cacheS99–0100%0.04
infernoD82–625%0.00
overpass—41–325%-0.01
vertigo—21–150%0.07
train—11–0100%0.00
alpine—10–10%0.01
italy—10–10%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

2,147,483,647Lifetime kills
10715.88K/D · Top 1% of Level 10 players
2,147,483,647Matches
100.0%Match win rate · Top 1% of Level 10 players
100.0%Headshot % · Top 1% of Level 10 players
97935.0%Shot accuracy · Top 1% of Level 10 players
2,147,483,647MVPs
596,523Hours (in match)
2,147,483,647Bombs planted
2,147,483,647Bombs defused

Most-used weapons

AK-472,147,483,647
M4A4 / M4A1-S2,147,483,647
AWP2,147,483,647
P2000 / USP-S2,147,483,647
Desert Eagle2,147,483,647
Glock-182,147,483,647
SG 5532,147,483,647
AUG2,147,483,647
FAMAS2,147,483,647
Galil AR2,147,483,647

Lifetime map wins

2,147,483,647assault
2,147,483,647italy
2,147,483,647office
2,147,483,647aztec
2,147,483,647cbble
2,147,483,647dust2
2,147,483,647dust
2,147,483,647inferno

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

Faceit stats

Combat

642Matches
53%Win rate
1.22Avg K/D
87.2ADR
43%Headshot %

Clutches & streaks

50%1v1 clutch win
23%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage11853%1.1617.0
Ancient9050%1.1116.6
Vertigo8259%1.1918.2
Anubis7351%1.2315.6
Nuke4455%1.2016.7
Overpass3352%1.1518.5
Inferno2846%1.2616.1
Dust22839%1.2217.0

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.

22.7%Headshot accuracy
38.8%Accuracy (enemy spotted)
42.6%Spray accuracy
78.7%Counter-strafing
9.9°Preaim
484msReaction time
48.9%T opening success
54.7%CT opening success
0.74Enemies flashed / flash
16.5%Flash assists
7.34HE damage / grenade
2.37Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.3677 — below the 4 mark we flag

    Grenade Lineups →
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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust25–13-0.0230%16 Oct →
mirage8–13-0.0224%29 Sept →
ancient13–70.0216%22 Aug →
ancient13–110.0418%22 Aug →
mirage7–13-0.0135%22 Aug →
mirage13–9-0.0515%26 Jul →
cache8–20.0233%26 Jul →
mirage4–13-0.0232%26 Jul →
dust213–50.0826%26 Jul →
nuke8–13-0.0032%26 Jul →
ancient15–15-0.0516%26 Jul →
mirage13–110.1128%26 Jul →
cache13–90.1523%7 Jul →
nuke13–50.1616%6 Jul →
dust210–130.0016%5 Jul →
dust26–13-0.0228%5 Jul →
overpass10–13-0.0119%5 Jul →
mirage4–130.0116%5 Jul →
anubis7–130.0614%5 Jul →
nuke13–90.1334%4 Jun →
mirage2–13-0.0017%4 Jun →
ancient10–130.0420%26 May →
anubis3–130.0740%26 May →
mirage13–60.0633%26 May →
ancient15–150.0519%25 May →
mirage16–130.0721%25 May →
mirage13–10-0.0118%25 May →
ancient6–130.0518%25 May →
nuke1–130.038%25 May →
anubis13–100.0424%21 May →
nuke3–13-0.0514%13 May →
mirage10–130.0022%13 May →
cache13–30.0233%2 May →
cache13–110.0222%2 May →
ancient13–50.0015%2 May →
cache13–20.0145%29 Apr →
cache13–11-0.0520%29 Apr →
cache13–110.0413%29 Apr →
cache13–50.0710%29 Apr →
nuke11–130.0222%28 Apr →
dust26–13-0.0833%28 Apr →
inferno2–13-0.0918%25 Apr →
inferno3–110.0530%25 Apr →
anubis12–120.0632%24 Apr →
anubis13–90.0920%24 Apr →
dust213–6-0.0126%23 Apr →
mirage7–130.0145%23 Apr →
mirage13–9-0.0335%18 Apr →
anubis9–130.0435%18 Apr →
ancient13–100.0439%12 Apr →
anubis13–110.0520%12 Apr →
mirage11–13-0.016%11 Apr →
nuke13–16-0.0131%11 Apr →
ancient9–13-0.0419%11 Apr →
train13–30.0019%5 Apr →
overpass12–12-0.0219%5 Apr →
anubis13–50.0233%5 Apr →
anubis6–130.1628%5 Apr →
mirage13–7-0.0530%5 Apr →
anubis13–70.0258%5 Apr →
dust23–20.0113%5 Apr →
anubis13–80.0117%5 Apr →
anubis6–13-0.0723%5 Apr →
vertigo13–70.0718%5 Apr →
anubis6–130.000%3 Apr →
ancient13–8-0.0620%2 Apr →
anubis4–13-0.0413%2 Apr →
vertigo9–130.0722%29 Mar →
alpine3–130.0121%29 Mar →
mirage10–13-0.017%29 Mar →
inferno13–110.1329%29 Mar →
mirage13–100.0223%29 Mar →
mirage4–70.070%29 Mar →
dust213–80.0630%29 Mar →
nuke13–80.0521%28 Mar →
mirage13–20.1532%28 Mar →
inferno8–13-0.0423%28 Mar →
italy2–13-0.0120%28 Mar →
anubis2–13-0.040%28 Mar →
ancient9–13-0.0033%22 Mar →
mirage7–13-0.0121%21 Mar →
dust214–160.0018%21 Mar →
dust212–12-0.0333%20 Mar →
mirage8–13-0.0511%16 Mar →
inferno9–130.0553%16 Mar →
ancient8–13-0.0221%15 Mar →
nuke16–120.0221%15 Mar →
mirage16–140.0113%8 Mar →
inferno9–13-0.0118%3 Mar →
nuke14–160.0532%3 Mar →
mirage13–80.0123%1 Mar →
cache13–110.0626%28 Feb →
overpass4–5-0.0522%27 Feb →
dust210–13-0.0218%27 Feb →
dust22–13-0.0923%27 Feb →
overpass13–90.0427%25 Feb →
inferno10–13-0.0415%25 Feb →
anubis16–140.0327%22 Feb →
mirage10–13-0.0225%22 Feb →
inferno13–10-0.0237%22 Feb →

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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