Burd — CS2 Stats

76561198215165060[U:1:254899332]

744Tracked matches37%Win rate2020Tracked since

1,462Hours in CS18Hrs last 2 wks

CSDB Rating5.5 SolidAggressive Rifler

Premier CS Rating19,138Purple band · top ~11.9% of ranked players (population est.)

CSDB Leaderboard#8613 of 17527 tracked

FaceitLevel 6Top 54.0% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim76

Positioning58

Utility44

0–100 skill scores via Leetify.

Recent form

STEADY46–50–4Last 10046%Win rateLWLLWWLWLL

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.6

Aggression7.1

Utility4.4

Positioning5.8

Opening Duels3.7

Clutch0.0

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.

Your pro match

Plays most like ropz 92% playstyle similarity

Most alike: opening-fight frequency, 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

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 53% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 578ms 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

Aim7.6

Positioning5.8

Utility4.4

Mechanics6.6

Opening Duels3.7

Win Impact0.7

Composite 5.5/10 (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 rating0.02+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time591ms−66ms

first ⅓ avg 658ms → last ⅓ avg 591ms

Headshot accuracy15.6%+1.9%

first ⅓ avg 13.7% → last ⅓ avg 15.6%

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

0.29Best rating — nuke 9–1

13–0Biggest win — vertigo

4Longest win streak

5–5In matches decided by ≤2 rounds

2Overtime games

Map breakdown

cacheBest map · 64% over 14nukeWeakest map · 20% over 15

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	18	9–9	50%	0.01
inferno	C	18	8–10	44%	0.01
nuke	D	15	3–12	20%	0.02
dust2	B	14	7–7	50%	0.03
cache	A	14	9–5	64%	0.01
ancient	A	7	4–3	57%	-0.01
train	B	6	3–3	50%	0.09
vertigo	—	3	1–2	33%	0.08
office	—	2	1–1	50%	-0.07
anubis	—	2	1–1	50%	-0.02
debris	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (20% over 15). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

43,559Lifetime kills

1.14K/D · Top 50% of tracked players

2,218Matches

38.0%Match win rate

47.2%Headshot % · Top 50% of tracked players

17.8%Shot accuracy · Top 25% of tracked players

3,687MVPs

863Hours (in match)

679Bombs planted

408Bombs defused

Most-used weapons

AK-4714,645

M4A4 / M4A1-S9,642

AWP4,675

P2000 / USP-S2,524

Desert Eagle2,518

Glock-181,837

MP9774

Galil AR759

Knife614

P250590

Lifetime map wins

2,316inferno

2,245dust2

761nuke

733vertigo

254office

212train

30cbble

21safehouse

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

Faceit stats

Combat

14Matches

71%Win rate

1.19Avg K/D

34.2ADR

46%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

7Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	5	60%	0.87	15.4
Mirage	1	100%	1.64	18.0

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.

15.8%Headshot accuracy

38.7%Accuracy (enemy spotted)

42.8%Spray accuracy

79.7%Counter-strafing

10.3°Preaim

578msReaction time

37.0%T opening success

52.8%CT opening success

0.55Enemies flashed / flash

6.8%Flash assists

10.47HE damage / grenade

3.97Flashes / 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.

Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.9675 — below the 4 mark we flag
Grenade Lineups →
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 37.0458% — 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.

20% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	11–13	0.03	18%	27 Aug →
nuke	13–9	0.01	16%	27 Aug →
inferno	10–13	-0.02	15%	27 Aug →
dust2	3–13	-0.04	9%	26 Aug →
cache	13–5	0.09	9%	26 Aug →
inferno	13–9	0.02	14%	26 Aug →
mirage	9–13	-0.02	17%	26 Aug →
vertigo	13–0	0.12	23%	25 Aug →
dust2	1–13	0.04	22%	25 Aug →
cache	8–13	0.03	17%	25 Aug →
nuke	3–13	0.00	31%	25 Aug →
dust2	11–13	0.00	13%	24 Aug →
inferno	4–13	0.03	9%	24 Aug →
mirage	13–11	0.04	22%	20 Aug →
cache	2–2	-0.06	0%	20 Aug →
ancient	7–13	0.00	10%	19 Aug →
cache	13–9	-0.07	11%	19 Aug →
nuke	12–12	0.00	11%	18 Aug →
train	13–11	0.10	19%	18 Aug →
mirage	6–13	0.05	27%	18 Aug →
dust2	12–12	-0.00	15%	18 Aug →
cache	5–13	-0.02	10%	15 Aug →
nuke	12–12	0.02	17%	6 Aug →
office	7–1	-0.06	0%	6 Aug →
dust2	13–9	0.06	25%	6 Aug →
dust2	6–13	0.03	13%	6 Aug →
nuke	7–13	0.07	25%	5 Aug →
vertigo	6–13	-0.00	7%	4 Aug →
nuke	11–13	0.12	14%	4 Aug →
mirage	4–13	0.08	18%	4 Aug →
inferno	13–5	0.13	22%	4 Aug →
office	6–13	-0.08	17%	3 Aug →
mirage	13–8	-0.06	19%	3 Aug →
anubis	13–10	0.01	26%	3 Aug →
inferno	9–13	-0.01	9%	3 Aug →
ancient	7–13	-0.03	12%	2 Aug →
cache	13–7	0.07	21%	2 Aug →
ancient	6–13	0.01	5%	2 Aug →
inferno	13–6	0.08	14%	2 Aug →
dust2	7–13	-0.01	19%	2 Aug →
inferno	13–3	0.13	12%	2 Aug →
cache	13–1	0.05	11%	2 Aug →
nuke	8–13	0.03	14%	2 Aug →
nuke	9–13	-0.04	18%	31 Jul →
mirage	6–13	-0.01	9%	31 Jul →
mirage	11–13	-0.03	17%	30 Jul →
inferno	8–13	-0.03	26%	30 Jul →
ancient	13–10	-0.04	9%	30 Jul →
inferno	5–13	-0.01	20%	30 Jul →
dust2	13–9	0.06	24%	29 Jul →
dust2	13–1	0.14	14%	29 Jul →
vertigo	6–13	0.12	23%	29 Jul →
dust2	13–8	0.02	24%	28 Jul →
train	4–13	0.09	28%	28 Jul →
mirage	10–13	0.09	25%	28 Jul →
mirage	11–13	0.02	12%	27 Jul →
cache	13–4	0.13	28%	27 Jul →
train	13–8	0.11	26%	27 Jul →
mirage	13–7	-0.03	16%	26 Jul →
cache	13–10	-0.02	21%	25 Jul →
nuke	5–9	-0.09	15%	25 Jul →
inferno	9–7	-0.06	17%	25 Jul →
nuke	9–1	0.29	24%	25 Jul →
inferno	5–9	0.05	40%	25 Jul →
inferno	3–9	-0.15	75%	25 Jul →
debris	6–9	-0.01	50%	25 Jul →
nuke	4–9	-0.05	17%	25 Jul →
mirage	13–11	0.02	17%	24 Jul →
ancient	13–5	0.02	11%	24 Jul →
nuke	1–13	-0.04	11%	24 Jul →
mirage	16–13	-0.06	13%	24 Jul →
cache	12–16	-0.04	8%	24 Jul →
ancient	13–8	-0.02	14%	24 Jul →
mirage	2–13	-0.09	8%	24 Jul →
dust2	13–10	-0.00	16%	23 Jul →
mirage	13–3	0.03	11%	23 Jul →
anubis	7–13	-0.04	16%	23 Jul →
inferno	2–13	-0.12	0%	23 Jul →
inferno	8–13	0.02	17%	23 Jul →
nuke	13–5	0.05	16%	22 Jul →
dust2	12–12	0.04	14%	21 Jul →
nuke	3–13	-0.00	13%	21 Jul →
mirage	13–10	-0.04	9%	21 Jul →
inferno	13–7	-0.02	24%	21 Jul →
cache	13–5	0.10	9%	21 Jul →
cache	4–9	-0.04	3%	20 Jul →
dust2	13–10	-0.01	14%	20 Jul →
inferno	6–13	-0.05	10%	20 Jul →
inferno	13–4	0.15	8%	20 Jul →
ancient	13–10	-0.01	5%	20 Jul →
train	6–13	0.13	15%	20 Jul →
nuke	3–13	-0.06	14%	20 Jul →
train	13–6	0.05	50%	20 Jul →
mirage	13–5	0.10	17%	20 Jul →
cache	13–3	0.02	15%	20 Jul →
inferno	13–5	-0.01	11%	20 Jul →
cache	2–13	-0.03	10%	20 Jul →
dust2	13–5	0.10	21%	19 Jul →
train	4–9	0.04	18%	18 Jul →
mirage	13–5	-0.00	18%	18 Jul →