DFB

DFB — CS2 Stats

NL76561198063239290[U:1:102973562]Steam profile ↗✓ No bans

315Tracked matches53%Win rate2020Tracked since
477Hours in CS
CSDB Rating4.1 DevelopingPositional Player
Premier CS Rating14,654Blue band · top ~30.2% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Sep 2026 (34 days ago). 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: 14,654 +7,292 16 Aug – 10 Sept · 35 days played
6,81314,999peak 14,99916 Aug10 Sept
14,999Peak Premier in tracked matches
51Days played since 2025-08-16

Premier CS Rating

  • 345 below peak (14,999)
  • +955 over 30 days · improving
  • Next: Purple band at 15,000 — 346 to go
  • Reached: Blue band · Light Blue band

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

MetricLast 30Previous 30Change
Matches2——
Win rate100%——
K/D1.36——
Headshot %58%——

Measured 14 Sep 2026 → 14 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 3 among CSDB-tracked players (n=10,231), 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 rate42.9%41.8%42.7%meets
Shot accuracy10.7%12.2%11.3%0.6% short
Kill/death ratio0.710.980.990.28 short
Match win rate35.0%43.3%43.9%8.9% 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.GGDFBFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER14,654 · Blue 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

Aim51
Positioning39
Utility14

0–100 skill scores via Leetify.

Recent form

HOT56–42–2Last 10056%Win rateLLLWWWWWWW

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating · +0.0pp headshot accuracy · −52ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 642ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 613ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 639ms

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 (+1.5 against its own average).

Aim5.1
Utility1.4
Positioning3.9
Opening Duels1.8
Clutch2.6

Strong CT-side openerLimited 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 96% 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

Areas to improve

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

T-side openings. Opening success drops from 54% on CT to 18% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 644ms 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

Aim5.1
Positioning3.9
Utility1.4
Mechanics6.1
Opening Duels2.9
Win Impact6.1

Composite 4.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time642ms+2ms
first ⅓ avg 640ms → last ⅓ avg 642ms
Headshot accuracy15.4%+1.5%
first ⅓ avg 13.8% → last ⅓ avg 15.4%

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

0.09Best match rating · 13–9 · nuke, 17 Aug →
38%Best headshot accuracy · 13–9 · ancient, 19 Mar →
406msFastest reaction time · 13–9 · mirage, 19 Feb →
13–0Biggest win · mirage, 24 Mar →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L3Current streak
9–6In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 82% over 22mirageWeakest map · 38% over 26
MapGradePlayedRecordWin rateAvg rating
mirageC2610–1638%-0.03
nukeS2218–482%0.00
infernoC188–1044%-0.02
ancientS1410–471%-0.04
dust2B105–550%-0.03
cache—32–167%-0.02
overpass—31–233%-0.02
anubis—20–20%-0.05
train—11–0100%-0.07
italy—11–0100%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (38% over 26). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

18,447Lifetime kills
0.71K/D
1,488Matches
35.0%Match win rate
42.9%Headshot % · Top 50% of Level 3 players
10.7%Shot accuracy
2,493MVPs
477Hours (in match)
1,794Bombs planted
281Bombs defused

Most-used weapons

Lifetime map wins

3,724nuke
1,348lake
973inferno
747dust2
642cbble
500vertigo
232office
172train

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

Faceit stats

Combat

34Matches
50%Win rate
0.62Avg K/D
62.8ADR
39%Headshot %

Clutches & streaks

33%1v1 clutch win
0%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Dust2520%0.5710.2
Mirage560%0.8614.0
Nuke3100%0.495.7
Ancient367%0.7911.3
Inferno1100%1.6221.0
Anubis10%0.508.0

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.

15.3%Headshot accuracy
30.2%Accuracy (enemy spotted)
40.9%Spray accuracy
77.3%Counter-strafing
11.1°Preaim
644msReaction time
17.8%T opening success
53.6%CT opening success
0.13Enemies flashed / flash
0.0%Flash assists
7.10HE damage / grenade
0.93Flashes / 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 0.1318 — 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 17.8292% — below the 40% mark we flag

Spend your practice time on Mirage

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

38% win rate across 26 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage6–13-0.1116%10 Sept →
mirage7–13-0.0414%6 Sept →
mirage9–130.0225%6 Sept →
ancient13–11-0.0420%4 Sept →
inferno13–50.0417%4 Sept →
nuke13–90.0910%17 Aug →
mirage16–14-0.069%16 Aug →
inferno13–50.0019%14 Aug →
nuke13–11-0.0320%14 Aug →
mirage7–12-0.046%14 Aug →
dust211–13-0.0421%14 Aug →
inferno5–13-0.0618%14 Aug →
mirage14–16-0.0617%9 Aug →
nuke13–50.0320%9 Aug →
anubis3–13-0.0414%9 Aug →
nuke16–13-0.038%3 Aug →
mirage6–13-0.0111%2 Aug →
nuke13–7-0.0014%1 Aug →
dust210–13-0.0416%31 Jul →
ancient13–6-0.0017%31 Jul →
anubis14–16-0.0614%31 Jul →
cache13–9-0.0729%30 Jul →
ancient13–6-0.049%30 Jul →
cache7–130.0016%28 Jul →
nuke13–6-0.0115%28 Jul →
nuke13–11-0.0117%9 Jul →
mirage8–13-0.0510%9 Jul →
inferno13–6-0.035%27 May →
mirage5–130.0521%27 May →
dust28–13-0.0613%27 May →
cache13–8-0.0112%10 May →
ancient10–13-0.0926%14 Apr →
inferno3–13-0.0710%13 Apr →
nuke13–5-0.0216%7 Apr →
inferno9–13-0.038%6 Apr →
mirage1–13-0.0817%6 Apr →
nuke13–50.0016%6 Apr →
nuke13–90.0713%4 Apr →
mirage13–9-0.0810%4 Apr →
mirage5–13-0.0715%2 Apr →
ancient16–14-0.0414%2 Apr →
overpass9–13-0.0734%2 Apr →
nuke13–9-0.1013%1 Apr →
nuke13–70.0511%1 Apr →
inferno13–100.0612%1 Apr →
ancient13–8-0.0316%30 Mar →
dust29–13-0.0810%30 Mar →
dust213–110.0514%29 Mar →
inferno13–8-0.0924%26 Mar →
nuke13–90.0210%24 Mar →
mirage13–0-0.0210%24 Mar →
inferno12–1-0.015%24 Mar →
ancient12–16-0.054%24 Mar →
nuke4–0-0.010%23 Mar →
nuke11–130.068%23 Mar →
ancient16–13-0.0416%23 Mar →
dust215–15-0.0517%22 Mar →
overpass13–70.0117%21 Mar →
ancient9–13-0.0810%21 Mar →
ancient13–8-0.0313%21 Mar →
inferno4–13-0.0322%20 Mar →
mirage10–5-0.0227%20 Mar →
overpass11–13-0.016%19 Mar →
inferno13–40.0026%19 Mar →
inferno6–9-0.0711%19 Mar →
mirage1–13-0.077%19 Mar →
ancient13–9-0.0238%19 Mar →
ancient13–7-0.059%18 Mar →
nuke13–100.0313%18 Mar →
mirage2–13-0.048%18 Mar →
nuke13–8-0.0212%18 Mar →
dust213–10-0.068%18 Mar →
inferno10–13-0.0210%17 Mar →
nuke13–40.0229%27 Feb →
mirage4–13-0.0614%21 Feb →
nuke13–16-0.0118%21 Feb →
nuke15–15-0.069%19 Feb →
mirage13–90.0216%19 Feb →
mirage6–13-0.0719%6 Oct →
train13–4-0.070%27 Sept →
mirage13–11-0.0115%26 Sept →
inferno10–13-0.019%25 Sept →
nuke13–30.0215%23 Sept →
mirage11–130.019%23 Sept →
mirage9–13-0.0321%21 Sept →
mirage13–80.0413%21 Sept →
inferno7–13-0.089%15 Sept →
inferno4–13-0.0418%13 Sept →
dust213–9-0.0022%13 Sept →
dust213–110.0021%11 Sept →
mirage13–110.0729%4 Sept →
mirage4–13-0.0216%3 Sept →
mirage13–10-0.099%3 Sept →
dust213–10-0.0420%2 Sept →
nuke13–160.0221%1 Sept →
inferno10–13-0.0112%1 Sept →
inferno13–40.069%1 Sept →
italy7–3-0.0112%16 Aug →
ancient13–30.010%16 Aug →
ancient4–13-0.0514%16 Aug →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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