Bugfy — CS2 Stats

76561197987814542[U:1:27548814]

1,194Tracked matches67%Win rate2020Tracked since

CSDB Rating5.5 SolidSupport

FaceitLevel 8 · 1,605 ELOTop 31.2% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim56

Positioning48

Utility74

0–100 skill scores via Leetify.

Recent form

HOT56–44Last 10056%Win rateWWLWWWWWWW

Last 10 vs previous 10: +40pp win rate · +0.01 avg rating

Player DNA

Primary style: Support — Utility contribution leads the profile while opening activity stays low.

Aim5.6

Aggression4.4

Utility7.4

Positioning4.8

Opening Duels1.2

Clutch3.8

Strong CT-side opener

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 NiKo 85% playstyle similarity

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

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 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 582ms 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

Aim5.6

Positioning4.8

Utility7.4

Mechanics5.4

Opening Duels2.1

Win Impact10.0

Composite 5.5/10 (Solid), 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 rating0.02+0.02

first ⅓ avg -0.00 → last ⅓ avg 0.02

Reaction time584ms−85ms

first ⅓ avg 669ms → last ⅓ avg 584ms

Headshot accuracy12.8%+0.1%

first ⅓ avg 12.6% → last ⅓ avg 12.8%

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

0.12Best rating — anubis 12–1

12–1Biggest win — anubis

8Longest win streak

W2Current streak

11–12In matches decided by ≤2 rounds

11Overtime games

Map breakdown

mirageBest map · 75% over 8dust2Weakest map · 38% over 8

Map	Grade	Played	Record	Win rate	Avg rating
anubis	S	16	11–5	69%	0.01
ancient	B	16	8–8	50%	0.02
nuke	B	13	7–6	54%	0.00
cache	C	12	5–7	42%	0.02
inferno	A	10	6–4	60%	-0.02
vertigo	C	9	4–5	44%	-0.01
mirage	S	8	6–2	75%	-0.00
dust2	C	8	3–5	38%	-0.03
overpass	S	8	6–2	75%	0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

610Matches

51%Win rate

1.01Avg K/D

81.7ADR

37%Headshot %

Clutches & streaks

39%1v1 clutch win

21%1v2 clutch win

7Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	98	49%	1.07	15.5
Anubis	92	61%	1.06	15.7
Inferno	62	42%	1.01	15.1
Mirage	56	39%	0.85	14.3
Vertigo	50	54%	1.15	15.2
Nuke	40	48%	0.97	14.4
Dust2	25	48%	1.06	14.2
Train	23	61%	1.17	17.0

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.

13.3%Headshot accuracy

34.5%Accuracy (enemy spotted)

35.3%Spray accuracy

74.1%Counter-strafing

10.6°Preaim

582msReaction time

23.2%T opening success

46.6%CT opening success

0.65Enemies flashed / flash

6.1%Flash assists

9.62HE damage / grenade

15.48Flashes / 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.

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 13.2539% — below the 15% mark we flag
Aim Training →
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 23.1859% — below the 40% mark we flag

Spend your practice time on Dust 2

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 8 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

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