Mr. Bubbles — CS2 Stats

76561199016865034[U:1:1056599306]✓ No bans

2,196Tracked matches46%Win rate2020Tracked since

2,630Hours in CS12Hrs last 2 wks

CSDB Rating5.8 SolidAggressive Rifler

Premier CS Rating15,792Purple band · top ~25.2% of ranked players (population est.)

CSDB Leaderboard#29208 of 50773 tracked

FaceitLevel 1Top 100.0% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 1 among CSDB-tracked players (n=230), 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.

Metric	This player	Level 1 median	Level 2 median	vs Level 2
Headshot rate	42.6%	41.1%	41.2%	above
Shot accuracy	10.6%	14.1%	12.5%	1.9% short
Kill/death ratio	0.98	0.97	0.96	meets
Match win rate	46.1%	41.9%	42.8%	above

This profile matches the typical Level 2 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 2 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim76

Positioning56

Utility44

0–100 skill scores via Leetify.

Recent form

STEADY44–50–6Last 10044%Win rateWWTWTLLWWL

Last 10 vs previous 10: +20pp win rate · -0.01 avg rating

Player DNA

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

Aim7.6

Aggression8.0

Utility4.4

Positioning5.6

Opening Duels3.2

Clutch6.0

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 b1t 90% playstyle similarity

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

Where you differ: lower utility contribution; 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.

Reaction time. 593ms 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

Positioning5.6

Utility4.4

Mechanics6.6

Opening Duels3.2

Win Impact3.8

Composite 5.8/10 (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 rating0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg 0.00

Reaction time604ms−40ms

first ⅓ avg 645ms → last ⅓ avg 604ms

Headshot accuracy21.5%−0.2%

first ⅓ avg 21.7% → last ⅓ avg 21.5%

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

0.11Best rating — anubis 13–8

13–2Biggest win — inferno

4Longest win streak

W2Current streak

8–6In matches decided by ≤2 rounds

12Overtime games

Map breakdown

dust2Best map · 54% over 13nukeWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
ancient	C	29	12–17	41%	0.00
anubis	B	21	11–10	52%	0.00
cache	B	19	9–10	47%	0.01
dust2	B	13	7–6	54%	0.00
nuke	D	9	3–6	33%	0.00
inferno	D	6	2–4	33%	0.02
mirage	—	3	0–3	0%	0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

55,925Lifetime kills

0.98K/D · Top 50% of Level 1 players

3,153Matches

46.1%Match win rate · Top 25% of Level 1 players

42.6%Headshot % · Top 50% of Level 1 players

10.6%Shot accuracy

7,860MVPs

1,319Hours (in match)

3,281Bombs planted

769Bombs defused

Most-used weapons

AK-4713,869

M4A4 / M4A1-S11,081

AWP8,096

Desert Eagle4,088

P2000 / USP-S3,671

Glock-183,131

XM10141,419

P901,107

FAMAS924

Galil AR882

Lifetime map wins

5,912dust2

4,436inferno

1,800vertigo

1,309nuke

599train

172cbble

57lake

20office

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

Faceit stats

Combat

41Matches

44%Win rate

1.05Avg K/D

83.0ADR

33%Headshot %

Clutches & streaks

50%1v1 clutch win

23%1v2 clutch win

3Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	4	75%	1.78	19.3
Anubis	2	0%	0.95	18.0
Inferno	2	50%	1.35	19.0
Overpass	1	0%	0.83	15.0
Nuke	1	0%	0.90	19.0

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.

21.3%Headshot accuracy

34.6%Accuracy (enemy spotted)

35.8%Spray accuracy

79.8%Counter-strafing

8.3°Preaim

593msReaction time

35.6%T opening success

50.2%CT opening success

0.63Enemies flashed / flash

3.4%Flash assists

7.88HE damage / grenade

5.13Flashes / 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.

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 35.5828% — 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.

33% win rate across 9 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
anubis	13–8	0.01	28%	30 Aug →
ancient	13–4	0.06	67%	30 Aug →
cache	15–15	-0.03	9%	28 Aug →
ancient	13–6	0.04	18%	28 Aug →
anubis	15–15	-0.04	11%	26 Aug →
cache	10–13	0.03	13%	26 Aug →
cache	9–13	-0.04	23%	24 Aug →
ancient	13–10	0.02	27%	24 Aug →
anubis	13–7	0.01	35%	22 Aug →
inferno	1–13	-0.05	25%	22 Aug →
ancient	9–13	0.03	18%	20 Aug →
anubis	6–13	-0.01	28%	20 Aug →
ancient	11–13	0.06	7%	19 Aug →
ancient	5–13	-0.04	10%	19 Aug →
ancient	9–13	-0.00	8%	18 Aug →
anubis	13–3	0.06	15%	18 Aug →
ancient	3–13	-0.05	21%	17 Aug →
dust2	13–6	0.00	24%	16 Aug →
anubis	8–13	0.01	33%	16 Aug →
nuke	13–9	0.03	22%	14 Aug →
dust2	6–13	-0.07	24%	14 Aug →
nuke	8–13	0.00	16%	14 Aug →
dust2	13–11	0.02	29%	13 Aug →
mirage	0–13	-0.05	6%	13 Aug →
dust2	7–13	-0.03	25%	12 Aug →
cache	13–7	0.08	38%	12 Aug →
ancient	13–5	0.00	11%	12 Aug →
nuke	5–13	-0.06	24%	12 Aug →
anubis	13–8	0.11	21%	11 Aug →
inferno	13–10	0.03	17%	11 Aug →
dust2	11–13	-0.07	14%	10 Aug →
dust2	13–9	0.00	19%	8 Aug →
nuke	5–13	0.04	25%	8 Aug →
cache	13–10	0.03	13%	7 Aug →
dust2	9–13	0.06	29%	7 Aug →
ancient	5–13	-0.01	17%	7 Aug →
ancient	16–14	0.01	16%	7 Aug →
ancient	13–11	0.04	16%	6 Aug →
anubis	13–4	0.06	9%	6 Aug →
ancient	16–12	0.02	20%	6 Aug →
anubis	15–15	-0.05	8%	5 Aug →
ancient	11–13	-0.05	17%	4 Aug →
dust2	9–13	-0.07	15%	4 Aug →
ancient	6–13	0.01	22%	4 Aug →
cache	13–11	0.08	32%	3 Aug →
anubis	6–13	-0.02	30%	3 Aug →
dust2	13–4	0.02	54%	2 Aug →
anubis	13–9	0.05	35%	2 Aug →
ancient	13–10	-0.05	13%	2 Aug →
ancient	11–13	-0.02	4%	1 Aug →
anubis	8–13	-0.02	28%	1 Aug →
dust2	13–11	-0.02	30%	31 Jul →
cache	3–13	-0.06	14%	30 Jul →
ancient	6–13	-0.08	22%	30 Jul →
inferno	8–13	0.03	26%	30 Jul →
anubis	13–7	0.07	26%	29 Jul →
cache	13–10	-0.07	17%	29 Jul →
ancient	8–13	0.05	24%	28 Jul →
cache	13–11	0.02	11%	28 Jul →
nuke	13–10	-0.01	21%	28 Jul →
mirage	7–13	-0.03	16%	27 Jul →
cache	7–13	-0.05	19%	27 Jul →
anubis	13–5	-0.02	27%	27 Jul →
dust2	13–5	0.06	32%	25 Jul →
inferno	14–16	-0.00	6%	25 Jul →
ancient	13–11	-0.03	20%	24 Jul →
ancient	15–15	-0.01	12%	24 Jul →
ancient	13–4	0.08	12%	24 Jul →
mirage	5–13	0.09	10%	22 Jul →
ancient	10–13	-0.04	11%	22 Jul →
anubis	13–10	0.04	17%	22 Jul →
anubis	13–9	0.03	34%	21 Jul →
ancient	15–15	0.01	16%	21 Jul →
ancient	11–2	0.05	19%	21 Jul →
dust2	11–13	0.00	19%	21 Jul →
cache	13–16	0.01	19%	20 Jul →
cache	13–9	0.04	16%	20 Jul →
cache	7–13	0.02	29%	20 Jul →
nuke	7–13	0.03	33%	19 Jul →
anubis	1–13	-0.04	45%	19 Jul →
nuke	3–13	0.07	25%	19 Jul →
cache	16–12	-0.04	20%	18 Jul →
ancient	9–13	-0.03	8%	18 Jul →
cache	13–7	0.04	14%	17 Jul →
nuke	13–6	-0.05	18%	17 Jul →
anubis	9–13	-0.08	17%	16 Jul →
cache	4–13	0.01	40%	16 Jul →
nuke	6–13	-0.02	28%	15 Jul →
dust2	13–3	0.10	25%	15 Jul →
cache	2–13	-0.01	48%	15 Jul →
ancient	8–13	0.01	40%	14 Jul →
cache	7–13	-0.03	13%	14 Jul →
anubis	13–11	0.01	17%	14 Jul →
anubis	10–13	-0.06	30%	13 Jul →
inferno	13–2	0.11	27%	13 Jul →
ancient	15–15	0.05	16%	12 Jul →
inferno	6–13	-0.01	15%	12 Jul →
ancient	16–12	-0.03	12%	11 Jul →
anubis	5–13	-0.07	2%	11 Jul →
cache	13–3	0.08	22%	9 Jul →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches

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

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