Bubblecats — CS2 Stats

76561198003139267[U:1:42873539]Steam profile ↗✓ No bans

425Tracked matches63%Win rate2020Tracked since

1,399Hours in CS2Hrs last 2 wks

CSDB Rating5.4 Developing

WingmanLegendary Eagle

Ladder ranks via Leetify

Performance scores

Aim53

Positioning47

Utility53

0–100 skill scores via Leetify.

Recent form

STEADY51–42–7Last 10051%Win rateWTLLTWWTWL

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

Player DNA

Aim5.3

Aggression3.9

Utility5.3

Positioning4.7

Opening Duels1.2

Clutch4.8

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

Plays most like NiKo 80% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Reaction time. 604ms 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

Aim5.3

Positioning4.7

Utility5.3

Mechanics6.8

Opening Duels1.2

Win Impact9.3

Composite 5.4/10 (Developing), 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 rating0.01−0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time606ms−31ms

first ⅓ avg 637ms → last ⅓ avg 606ms

Headshot accuracy15.6%−0.4%

first ⅓ avg 16.0% → 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

0.21Best rating — vertigo 9–2

13–2Biggest win — ancient

7Longest win streak

8–7In matches decided by ≤2 rounds

15Overtime games

Map breakdown

vertigoBest map · 100% over 5infernoWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
nuke	S	20	14–6	70%	-0.00
dust2	C	17	7–10	41%	0.00
ancient	S	16	11–5	69%	0.01
mirage	D	14	3–11	21%	-0.00
cache	B	8	4–4	50%	0.00
inferno	D	7	1–6	14%	-0.03
overpass	S	6	5–1	83%	0.01
vertigo	S	5	5–0	100%	0.11
anubis	—	4	1–3	25%	0.03
poseidon	—	2	0–2	0%	-0.00
debris	—	1	0–1	0%	-0.09

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

43,560Lifetime kills

0.87K/D

2,327Matches

45.7%Match win rate · Top 50% of tracked players

38.2%Headshot %

15.2%Shot accuracy · Top 50% of tracked players

5,158MVPs

934Hours (in match)

3,146Bombs planted

721Bombs defused

Most-used weapons

AK-4715,013

M4A4 / M4A1-S8,496

P2000 / USP-S2,337

AWP2,027

Desert Eagle1,870

Glock-181,560

Knife1,431

SSG 081,148

P250931

P90926

Lifetime map wins

8,131dust2

1,686inferno

1,572nuke

519cbble

448train

208vertigo

83office

81aztec

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

Faceit stats

Combat

83Matches

55%Win rate

1.00Avg K/D

72.0ADR

44%Headshot %

Clutches & streaks

44%1v1 clutch win

4%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	6	67%	0.92	11.7
Ancient	5	80%	0.83	14.4
Mirage	4	50%	1.11	16.5
Nuke	4	100%	1.34	13.5
Cache	4	50%	1.13	14.8
Overpass	2	50%	0.71	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.

14.9%Headshot accuracy

29.8%Accuracy (enemy spotted)

32.1%Spray accuracy

80.7%Counter-strafing

9.9°Preaim

604msReaction time

37.6%T opening success

32.1%CT opening success

0.62Enemies flashed / flash

7.4%Flash assists

10.29HE damage / grenade

6.46Flashes / 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.

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 14.9202% — 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 37.5714% — below the 40% mark we flag

Spend your practice time on Inferno

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–11	0.04	23%	30 Aug →
dust2	15–15	-0.03	11%	16 Aug →
mirage	9–13	-0.07	11%	16 Aug →
ancient	7–13	-0.00	11%	16 Aug →
cache	15–15	0.00	12%	2 Aug →
nuke	13–10	-0.01	11%	2 Aug →
ancient	13–2	0.07	13%	2 Aug →
dust2	15–15	0.01	27%	2 Aug →
nuke	13–5	-0.02	7%	2 Aug →
mirage	5–13	-0.04	14%	2 Aug →
vertigo	9–6	0.07	20%	1 Aug →
vertigo	9–6	0.14	24%	1 Aug →
poseidon	6–9	0.07	22%	1 Aug →
debris	4–9	-0.09	36%	1 Aug →
poseidon	2–9	-0.07	8%	1 Aug →
vertigo	9–2	0.21	19%	1 Aug →
nuke	9–3	0.09	6%	1 Aug →
mirage	14–16	0.01	11%	1 Aug →
nuke	13–10	0.02	19%	1 Aug →
dust2	0–13	-0.01	11%	1 Aug →
dust2	13–2	0.10	19%	18 Jul →
mirage	13–7	0.03	22%	18 Jul →
ancient	13–11	-0.02	5%	18 Jul →
dust2	8–13	-0.01	12%	18 Jul →
nuke	13–10	-0.02	17%	4 Jul →
ancient	3–13	-0.07	19%	4 Jul →
mirage	2–13	-0.05	19%	4 Jul →
cache	8–13	-0.04	23%	3 Jul →
dust2	13–9	-0.02	18%	3 Jul →
mirage	13–10	-0.02	8%	28 Jun →
dust2	13–2	0.07	12%	28 Jun →
nuke	16–14	-0.03	14%	28 Jun →
inferno	8–13	-0.01	8%	13 Jun →
nuke	13–7	0.03	14%	13 Jun →
ancient	13–9	-0.01	15%	13 Jun →
nuke	13–7	0.00	21%	6 Jun →
dust2	13–7	0.03	19%	16 May →
nuke	13–4	0.03	22%	16 May →
cache	13–4	0.04	15%	16 May →
mirage	14–16	0.06	14%	16 May →
ancient	19–16	-0.01	20%	16 May →
ancient	13–10	0.01	7%	15 May →
cache	6–13	-0.04	21%	15 May →
dust2	3–13	-0.05	15%	15 May →
cache	16–13	-0.00	12%	10 May →
nuke	13–3	0.07	14%	10 May →
overpass	16–13	-0.02	8%	10 May →
mirage	15–15	0.04	14%	9 May →
inferno	10–13	-0.08	18%	9 May →
dust2	11–13	-0.06	15%	9 May →
ancient	7–13	-0.03	13%	9 May →
nuke	9–13	-0.02	26%	9 May →
dust2	8–13	-0.01	24%	6 May →
cache	10–13	0.00	14%	5 May →
inferno	9–7	-0.02	16%	5 May →
nuke	2–9	-0.17	12%	5 May →
vertigo	9–1	0.07	12%	5 May →
nuke	5–9	-0.01	16%	5 May →
ancient	13–8	0.02	25%	3 May →
ancient	7–13	-0.02	13%	3 May →
cache	13–5	0.10	29%	3 May →
cache	13–9	-0.02	32%	3 May →
mirage	14–16	0.00	15%	1 May →
overpass	13–9	0.01	9%	1 May →
dust2	9–13	-0.06	8%	26 Apr →
anubis	11–13	0.03	18%	26 Apr →
inferno	6–13	-0.07	12%	26 Apr →
ancient	13–8	0.06	13%	26 Apr →
nuke	13–11	0.04	10%	19 Apr →
overpass	9–13	-0.01	25%	19 Apr →
nuke	2–13	-0.04	14%	18 Apr →
dust2	13–11	0.00	10%	18 Apr →
mirage	13–7	-0.01	14%	18 Apr →
ancient	13–6	0.01	13%	18 Apr →
anubis	15–15	0.07	16%	18 Apr →
mirage	11–13	0.00	18%	18 Apr →
anubis	5–13	0.06	13%	12 Apr →
inferno	10–13	0.03	14%	12 Apr →
mirage	10–13	-0.01	7%	12 Apr →
inferno	11–13	0.03	15%	11 Apr →
nuke	13–11	0.03	13%	11 Apr →
dust2	13–11	0.03	22%	11 Apr →
ancient	10–13	0.01	22%	22 Mar →
inferno	10–13	-0.10	7%	22 Mar →
overpass	13–8	0.03	12%	22 Mar →
mirage	15–15	0.03	15%	21 Mar →
ancient	13–8	0.05	19%	19 Mar →
nuke	3–13	-0.04	20%	19 Mar →
dust2	15–15	0.01	19%	19 Mar →
mirage	9–13	0.00	23%	14 Mar →
anubis	13–8	-0.02	17%	14 Mar →
dust2	10–13	0.01	8%	14 Mar →
nuke	4–13	0.01	16%	14 Mar →
ancient	13–10	0.02	27%	14 Mar →
vertigo	9–4	0.07	26%	8 Mar →
overpass	13–5	0.07	15%	8 Mar →
nuke	13–8	0.04	21%	8 Mar →
dust2	13–9	0.03	23%	28 Feb →
nuke	13–7	-0.05	3%	28 Feb →
overpass	16–12	-0.01	20%	28 Feb →