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[SNG] ✵Burogoz✵

[SNG] ✵Burogoz✵ — CS2 Stats

DE76561198019424742[U:1:59159014]Steam profile ↗

762Tracked matches57%Win rate2023Tracked since
564Hours in CS
CSDB Rating4.6 Developing
FaceitLevel 7 · 1,352 ELOTop 42.3% of ranked FACEIT players
WingmanThe Global Elite
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=1,762), 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 7 medianLevel 8 medianvs Level 8
Headshot rate42.5%46.1%47.0%4.5% short
Shot accuracy1.4%12.6%12.7%11.3% short
Kill/death ratio0.801.051.070.27 short
Match win rate47.2%45.7%46.4%meets

This profile matches the typical Level 8 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG[SNG] ✵Burogoz✵FACEITLevel 7 · 1,352 ELOSTANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim46
Positioning55
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY46–52–2Last 10046%Win rateLWWWWLLWWL

Last 10 vs previous 10: +10pp win rate · -0.01 avg rating

Player DNA

Aim4.6
Aggression6.8
Utility6.4
Positioning5.5
Opening Duels2.2
Clutch2.8

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

Twistzz

Plays most like Twistzz 86% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower 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

Areas to improve

T-side openings. Opening success drops from 47% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 659ms 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

Aim4.6
Positioning5.5
Utility6.4
Mechanics4.6
Opening Duels2.2
Win Impact7.2

Composite 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time665ms+23ms
first ⅓ avg 641ms → last ⅓ avg 665ms
Headshot accuracy15.1%+0.7%
first ⅓ avg 14.4% → last ⅓ avg 15.1%

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

0.07Best rating — ancient 15–15
13–0Biggest win — inferno
4Longest win streak
8–6In matches decided by ≤2 rounds
9Overtime games

Map breakdown

overpassBest map · 75% over 8nukeWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
infernoC2812–1643%-0.01
ancientC218–1338%-0.02
dust2C167–944%-0.03
nukeD134–931%-0.01
overpassS86–275%-0.03
anubis—42–250%-0.03
mirage—32–167%-0.02
train—33–0100%-0.01
cache—21–150%0.01
office—21–150%-0.07

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

19,416Lifetime kills
0.80K/D
1,372Matches
47.2%Match win rate · Top 50% of Level 7 players
42.5%Headshot %
1.4%Shot accuracy
2,310MVPs
564Hours (in match)
1,955Bombs planted
302Bombs defused

Most-used weapons

AK-476,353
M4A4 / M4A1-S4,671
P2000 / USP-S1,292
AWP1,116
Glock-18910
MP9835
MAC-10644
Galil AR546
Desert Eagle407
Knife397

Lifetime map wins

3,009inferno
2,264dust2
1,448nuke
504vertigo
410train
43office
40italy
9cbble

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

Faceit stats

Combat

522Matches
50%Win rate
0.90Avg K/D
72.2ADR
40%Headshot %

Clutches & streaks

34%1v1 clutch win
20%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno12155%0.8812.7
Anubis10644%0.8914.8
Dust29044%0.8112.2
Ancient9051%0.9013.4
Mirage4139%1.0914.1
Nuke3759%0.9214.2
Vertigo2040%1.0115.4
Train1369%1.1514.6

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.

14.9%Headshot accuracy
33.5%Accuracy (enemy spotted)
33.0%Spray accuracy
70.9%Counter-strafing
10.1°Preaim
659msReaction time
30.7%T opening success
46.7%CT opening success
0.72Enemies flashed / flash
8.5%Flash assists
11.05HE damage / grenade
10.46Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.8761% — below the 15% mark we flag

    Aim Training →
  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 30.6746% — below the 40% mark we flag

Spend your practice time on Nuke

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

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–160.0117%1 Aug →
inferno13–9-0.0312%1 Aug →
ancient13–7-0.0512%11 Jul →
inferno13–0-0.0115%11 Jul →
nuke16–140.019%11 Jul →
inferno3–13-0.0015%11 Jul →
nuke1–10-0.0416%11 Jul →
cache16–130.0214%10 Jul →
anubis13–10-0.0116%10 Jul →
inferno7–13-0.0917%10 Jul →
dust27–130.0324%9 Jul →
dust213–40.0321%9 Jul →
inferno13–90.0017%5 Jul →
mirage13–60.0215%24 Jun →
ancient8–13-0.044%21 Jun →
inferno13–8-0.0115%21 Jun →
nuke10–130.0217%20 Jun →
dust28–13-0.0917%7 Jun →
inferno1–13-0.0411%7 Jun →
overpass13–11-0.0224%7 Jun →
nuke13–5-0.0016%13 May →
cache10–130.0010%4 May →
dust213–4-0.0319%26 Apr →
ancient13–10-0.0313%26 Apr →
dust213–11-0.0219%25 Apr →
train13–7-0.0212%25 Apr →
nuke10–13-0.0112%2 Apr →
office9–13-0.107%21 Mar →
office13–10-0.0418%21 Mar →
dust24–13-0.0414%18 Mar →
ancient15–150.0714%13 Mar →
dust213–10-0.0423%13 Mar →
inferno6–130.0213%22 Feb →
ancient6–130.029%21 Feb →
ancient11–130.0411%21 Feb →
ancient5–13-0.092%17 Feb →
ancient6–13-0.0710%17 Feb →
ancient5–13-0.029%16 Feb →
anubis13–70.0119%16 Feb →
dust24–13-0.0713%16 Feb →
dust213–10-0.0110%16 Feb →
anubis6–13-0.0324%9 Feb →
mirage13–11-0.0018%9 Feb →
inferno8–130.0317%9 Feb →
ancient9–13-0.0621%8 Feb →
mirage5–13-0.0716%26 Jan →
nuke4–13-0.0518%26 Jan →
dust211–13-0.0422%18 Jan →
inferno8–13-0.0216%18 Jan →
overpass13–7-0.0717%11 Jan →
ancient13–9-0.0318%11 Jan →
inferno13–60.0736%11 Jan →
ancient13–50.019%11 Jan →
nuke14–160.0115%11 Jan →
nuke3–13-0.0513%26 Dec →
overpass13–5-0.0712%21 Dec →
inferno14–160.0318%15 Dec →
inferno13–10-0.0110%15 Dec →
inferno13–40.0311%15 Dec →
overpass13–6-0.0613%13 Dec →
inferno13–20.0023%6 Dec →
overpass8–13-0.0524%6 Dec →
overpass12–120.0431%6 Dec →
ancient3–13-0.0814%30 Oct →
ancient13–30.0311%23 Oct →
inferno13–70.0123%23 Oct →
inferno6–13-0.069%22 Oct →
ancient14–16-0.0324%22 Oct →
inferno10–130.0213%12 Oct →
overpass13–7-0.0114%25 Sept →
dust213–20.0210%25 Sept →
inferno11–13-0.0327%20 Sept →
ancient8–13-0.108%20 Sept →
ancient13–110.0313%19 Sept →
inferno9–130.0037%12 Sept →
inferno16–140.0210%5 Sept →
nuke8–13-0.0315%30 Aug →
anubis2–13-0.070%29 Aug →
nuke7–130.0511%28 Aug →
nuke8–13-0.0417%28 Aug →
inferno6–13-0.0317%18 Aug →
dust210–13-0.0512%18 Aug →
nuke13–3-0.0418%18 Aug →
inferno9–13-0.0210%12 Aug →
nuke13–10-0.0119%6 Aug →
inferno13–6-0.0511%6 Aug →
inferno6–130.0211%5 Aug →
overpass13–110.0215%4 Aug →
dust28–13-0.0614%1 Aug →
train13–11-0.0119%1 Aug →
dust213–3-0.0315%1 Aug →
ancient4–13-0.0016%24 Jul →
train13–80.0111%24 Jul →
ancient13–5-0.073%21 Jul →
inferno0–13-0.0422%19 Jul →
ancient13–100.0113%16 Jul →
ancient9–13-0.017%16 Jul →
inferno10–130.0112%15 Jul →
dust28–13-0.0514%15 Jul →
inferno16–13-0.0018%13 Jul →

Match data via Leetify.

Milestones

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

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