bugass — CS2 Stats

76561198103906912[U:1:143641184]✓ No bans

781Tracked matches50%Win rate2020Tracked since

CSDB Rating7.0 StrongAggressive Rifler

Premier CS Rating22,249Top 50% of 819 CSDB-tracked playersPink band · top ~6% of ranked players (population est.)

Ladder ranks via Leetify

Share this profile

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

Aim87

Positioning63

Utility42

0–100 skill scores via Leetify.

Recent form

COLD47–50–3Last 10047%Win rateLLWLLLLLLW

Last 10 vs previous 10: -30pp win rate · -0.05 avg rating

Player DNA

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

Aim8.7

Aggression9.7

Utility4.2

Positioning6.3

Opening Duels5.4

Clutch3.2

Sharp aimerExcellent counter-strafingStrong 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 sh1ro 91% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: 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

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.

CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

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 63% on CT to 40% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 615ms 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

Aim8.7

Positioning6.3

Utility4.2

Mechanics9.0

Opening Duels5.4

Win Impact5.0

Composite 7.0/10 (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+0.02

first ⅓ avg -0.01 → last ⅓ avg 0.01

Reaction time608ms−4ms

first ⅓ avg 611ms → last ⅓ avg 608ms

Headshot accuracy26.5%+6.1%

first ⅓ avg 20.4% → last ⅓ avg 26.5%

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

0.16Best rating — mirage 13–5

13–1Biggest win — anubis

6Longest win streak

L2Current streak

1–11In matches decided by ≤2 rounds

12Overtime games

Map breakdown

anubisBest map · 90% over 10nukeWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	28	17–11	61%	0.02
dust2	C	18	7–11	39%	0.01
inferno	D	14	4–10	29%	0.01
ancient	D	12	4–8	33%	-0.03
anubis	S	10	9–1	90%	0.01
cache	C	9	4–5	44%	0.03
nuke	D	6	1–5	17%	0.00
overpass	—	3	1–2	33%	-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

466Matches

55%Win rate

1.13Avg K/D

78.9ADR

57%Headshot %

Clutches & streaks

36%1v1 clutch win

25%1v2 clutch win

12Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	68	59%	1.03	16.2
Dust2	32	41%	0.90	13.9
Anubis	19	53%	0.94	13.8
Ancient	17	53%	1.14	16.1
Inferno	11	36%	1.05	15.1
Nuke	8	12%	0.66	12.9
Overpass	5	40%	0.95	15.6
Cache	5	60%	1.67	18.2

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.

26.2%Headshot accuracy

36.3%Accuracy (enemy spotted)

41.5%Spray accuracy

90.7%Counter-strafing

9.5°Preaim

615msReaction time

40.5%T opening success

62.6%CT opening success

0.55Enemies flashed / flash

9.8%Flash assists

8.63HE damage / grenade

4.59Flashes / match

Recommended for you

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.

17% win rate across 6 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
nuke	9–13	-0.00	24%	25 Aug →
cache	5–13	-0.00	30%	18 Aug →
mirage	13–10	-0.02	22%	4 Aug →
mirage	14–16	-0.03	25%	4 Aug →
dust2	11–13	-0.03	28%	30 Jul →
cache	14–16	0.04	24%	30 Jul →
mirage	0–7	-0.11	0%	30 Jul →
inferno	4–13	-0.05	21%	29 Jul →
dust2	3–9	0.01	21%	26 Jul →
anubis	13–10	-0.09	9%	26 Jul →
anubis	13–1	0.12	25%	26 Jul →
cache	9–13	0.05	33%	25 Jul →
inferno	13–6	-0.01	23%	25 Jul →
anubis	13–5	0.08	38%	25 Jul →
mirage	13–4	0.02	29%	25 Jul →
anubis	13–4	-0.02	14%	25 Jul →
dust2	3–13	-0.04	25%	25 Jul →
inferno	11–13	0.02	39%	25 Jul →
cache	5–13	-0.06	33%	24 Jul →
cache	10–13	0.01	39%	24 Jul →
cache	13–4	0.09	40%	24 Jul →
mirage	13–6	-0.04	26%	24 Jul →
mirage	14–16	0.07	27%	24 Jul →
dust2	13–10	-0.04	29%	24 Jul →
cache	13–6	0.02	21%	24 Jul →
nuke	13–16	-0.03	21%	24 Jul →
dust2	13–4	0.11	20%	23 Jul →
mirage	13–7	0.00	21%	23 Jul →
dust2	13–10	-0.00	39%	23 Jul →
mirage	13–11	-0.01	20%	23 Jul →
mirage	13–5	0.16	45%	23 Jul →
mirage	8–13	0.11	27%	23 Jul →
mirage	15–15	0.01	36%	23 Jul →
mirage	9–13	0.06	28%	23 Jul →
cache	13–10	0.01	27%	23 Jul →
cache	13–6	0.12	34%	22 Jul →
inferno	10–13	0.02	31%	22 Jul →
dust2	13–4	0.06	30%	22 Jul →
dust2	13–9	-0.02	22%	30 May →
ancient	7–13	-0.05	32%	30 May →
inferno	12–16	0.01	24%	29 May →
inferno	13–1	0.08	18%	29 May →
dust2	6–13	0.10	28%	29 May →
mirage	13–10	0.05	14%	28 May →
inferno	7–13	0.01	22%	16 Apr →
nuke	9–13	0.06	19%	3 Apr →
overpass	11–13	-0.01	22%	2 Apr →
mirage	13–8	0.04	21%	2 Apr →
ancient	13–8	-0.00	18%	2 Apr →
dust2	14–16	-0.00	29%	2 Apr →
mirage	13–7	-0.03	18%	2 Apr →
ancient	10–13	-0.01	27%	1 Apr →
inferno	7–13	-0.03	27%	1 Apr →
mirage	5–13	-0.05	25%	31 Mar →
mirage	6–1	0.01	15%	31 Mar →
anubis	4–13	-0.09	17%	31 Mar →
mirage	13–7	0.06	18%	31 Mar →
inferno	14–16	-0.03	16%	31 Mar →
anubis	13–3	-0.01	11%	31 Mar →
mirage	11–13	-0.00	21%	31 Mar →
mirage	8–13	-0.01	22%	25 Mar →
mirage	13–5	0.09	25%	25 Mar →
dust2	11–13	-0.02	20%	25 Mar →
inferno	2–13	-0.02	38%	25 Mar →
dust2	13–8	0.06	26%	25 Mar →
ancient	13–6	0.07	23%	25 Mar →
anubis	13–7	0.09	32%	25 Mar →
mirage	13–4	-0.03	27%	25 Mar →
overpass	13–10	0.01	15%	25 Mar →
dust2	13–6	-0.05	15%	25 Mar →
ancient	8–13	-0.06	20%	25 Mar →
mirage	15–15	-0.00	17%	25 Mar →
anubis	13–2	0.03	19%	25 Mar →
dust2	9–13	-0.04	28%	24 Mar →
inferno	10–13	-0.01	22%	24 Mar →
nuke	10–13	-0.02	19%	24 Mar →
ancient	9–13	-0.04	18%	24 Mar →
inferno	13–2	0.01	13%	24 Mar →
mirage	13–5	0.02	22%	24 Mar →
ancient	6–13	-0.03	23%	24 Mar →
mirage	13–9	0.02	31%	24 Mar →
ancient	3–9	-0.10	13%	23 Mar →
dust2	13–16	0.14	20%	23 Mar →
mirage	9–13	0.00	38%	23 Mar →
dust2	10–13	-0.01	26%	23 Mar →
inferno	13–6	0.07	24%	23 Mar →
dust2	15–15	0.01	20%	23 Mar →
ancient	2–13	-0.01	24%	23 Mar →
nuke	14–16	-0.03	23%	23 Mar →
inferno	4–13	0.03	14%	23 Mar →
mirage	13–10	0.03	11%	23 Mar →
dust2	7–13	-0.03	21%	23 Mar →
anubis	13–7	-0.01	21%	23 Mar →
overpass	0–13	-0.06	12%	22 Mar →
ancient	9–13	-0.05	19%	22 Mar →
ancient	13–4	-0.04	24%	22 Mar →
anubis	13–10	-0.01	19%	22 Mar →
ancient	13–9	-0.00	21%	22 Mar →
mirage	13–3	0.03	15%	22 Mar →
nuke	13–7	0.04	21%	22 Mar →