Meowbin — CS2 Stats

US76561198074046226[U:1:113780498]Steam profile ↗✓ No bans

525Tracked matches59%Win rate2021Tracked since

CSDB Rating5.7 Solid

Premier CS Rating19,791Purple band · top ~9.3% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim56

Positioning66

Utility57

0–100 skill scores via Leetify.

Recent form

STEADY47–48–5Last 10047%Win rateLLWWWWLLLT

Last 10 vs previous 10: -30pp win rate · -0.02 avg rating

Player DNA

Aim5.6

Aggression9.4

Utility5.7

Positioning6.6

Opening Duels4.0

Clutch4.0

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 jL 90% 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

Strengths

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

Areas to improve

T-side openings. Opening success drops from 63% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 587ms 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

Positioning6.6

Utility5.7

Mechanics4.6

Opening Duels4.1

Win Impact7.9

Composite 5.7/10 (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+0.00

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time582ms+10ms

first ⅓ avg 572ms → last ⅓ avg 582ms

Headshot accuracy11.9%+0.4%

first ⅓ avg 11.5% → last ⅓ avg 11.9%

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

0.13Best rating — ancient 8–13

13–1Biggest win — mirage

5Longest win streak

L2Current streak

5–8In matches decided by ≤2 rounds

13Overtime games

Map breakdown

anubisBest map · 71% over 7infernoWeakest map · 36% over 14

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	26	13–13	50%	0.01
ancient	B	17	8–9	47%	0.04
mirage	B	16	8–8	50%	0.02
inferno	C	14	5–9	36%	0.02
cache	B	14	7–7	50%	0.01
anubis	S	7	5–2	71%	0.04
nuke	—	3	1–2	33%	0.01
overpass	—	3	0–3	0%	-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

22Matches

50%Win rate

1.20Avg K/D

86.1ADR

42%Headshot %

Clutches & streaks

40%1v1 clutch win

35%1v2 clutch win

3Longest win streak

Recent Faceit resultsWLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	4	25%	1.98	17.0
Ancient	3	33%	0.89	14.7
Anubis	3	67%	1.84	20.0
Dust2	3	100%	1.01	15.3
Mirage	1	100%	1.56	25.0

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.

12.2%Headshot accuracy

36.0%Accuracy (enemy spotted)

38.0%Spray accuracy

70.8%Counter-strafing

10.4°Preaim

587msReaction time

28.9%T opening success

63.2%CT opening success

0.55Enemies flashed / flash

8.7%Flash assists

10.06HE damage / grenade

11.09Flashes / 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 12.1584% — 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 28.8612% — 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.

36% win rate across 14 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
inferno	6–13	-0.04	6%	25 Aug →
dust2	11–13	0.01	12%	25 Aug →
anubis	13–5	0.05	16%	25 Aug →
inferno	13–4	0.07	9%	25 Aug →
cache	13–5	-0.01	7%	21 Aug →
cache	13–7	-0.01	12%	13 Aug →
dust2	10–13	0.04	22%	13 Aug →
mirage	6–13	-0.01	16%	10 Aug →
inferno	13–16	0.03	8%	10 Aug →
cache	15–15	-0.02	12%	9 Aug →
ancient	7–13	-0.03	13%	7 Aug →
dust2	13–4	0.02	10%	6 Aug →
inferno	5–13	0.03	18%	6 Aug →
dust2	13–10	0.06	10%	6 Aug →
ancient	13–6	0.01	17%	6 Aug →
mirage	13–11	0.06	12%	5 Aug →
dust2	13–11	0.04	15%	5 Aug →
inferno	7–13	0.06	17%	5 Aug →
anubis	13–8	0.05	9%	5 Aug →
mirage	13–11	0.02	10%	4 Aug →
anubis	13–10	0.01	16%	4 Aug →
inferno	13–6	0.01	17%	4 Aug →
nuke	13–11	0.04	16%	31 Jul →
mirage	11–13	-0.01	13%	31 Jul →
dust2	13–7	-0.01	8%	31 Jul →
cache	2–8	-0.06	0%	31 Jul →
dust2	10–13	-0.02	13%	30 Jul →
cache	8–13	-0.05	5%	30 Jul →
ancient	13–8	0.07	10%	29 Jul →
ancient	16–13	0.10	12%	29 Jul →
dust2	15–15	0.05	10%	28 Jul →
cache	16–13	0.06	15%	27 Jul →
mirage	5–13	-0.00	9%	24 Jul →
dust2	13–5	0.05	13%	24 Jul →
nuke	15–15	-0.00	8%	23 Jul →
mirage	13–5	0.05	10%	23 Jul →
dust2	13–8	0.05	17%	22 Jul →
cache	11–13	-0.03	14%	22 Jul →
inferno	13–8	0.02	15%	22 Jul →
dust2	13–3	-0.04	14%	22 Jul →
ancient	13–8	0.10	7%	22 Jul →
mirage	13–16	-0.00	15%	22 Jul →
dust2	15–15	-0.03	10%	21 Jul →
mirage	3–13	0.01	14%	21 Jul →
ancient	3–6	0.11	0%	21 Jul →
dust2	8–13	-0.06	13%	20 Jul →
mirage	8–13	0.02	7%	20 Jul →
mirage	13–10	-0.00	8%	20 Jul →
dust2	15–15	-0.06	12%	17 Jul →
ancient	6–0	0.11	25%	17 Jul →
cache	13–2	0.11	9%	17 Jul →
mirage	10–13	-0.01	6%	16 Jul →
mirage	13–1	0.07	15%	16 Jul →
inferno	11–13	-0.03	16%	16 Jul →
ancient	10–13	0.00	15%	16 Jul →
nuke	10–13	-0.01	8%	15 Jul →
cache	5–13	-0.05	10%	15 Jul →
inferno	6–13	-0.03	7%	15 Jul →
dust2	13–5	0.02	8%	14 Jul →
ancient	8–13	0.13	8%	14 Jul →
mirage	11–13	0.02	9%	14 Jul →
cache	6–13	0.04	15%	14 Jul →
ancient	11–13	-0.03	12%	14 Jul →
dust2	16–12	0.07	16%	13 Jul →
cache	13–9	0.06	18%	13 Jul →
mirage	16–13	0.05	12%	10 Jul →
dust2	14–16	0.03	11%	10 Jul →
cache	13–6	0.07	16%	10 Jul →
ancient	9–13	-0.03	8%	10 Jul →
dust2	13–16	-0.05	8%	10 Jul →
dust2	13–8	0.04	16%	9 Jul →
ancient	13–10	-0.06	10%	9 Jul →
dust2	7–13	-0.03	16%	9 Jul →
mirage	13–10	-0.00	10%	9 Jul →
dust2	10–13	0.02	10%	9 Jul →
dust2	13–10	-0.01	14%	8 Jul →
anubis	13–11	0.07	11%	7 Jul →
inferno	10–13	0.03	16%	7 Jul →
inferno	8–0	0.12	18%	7 Jul →
inferno	10–13	0.02	16%	7 Jul →
ancient	13–9	0.05	8%	6 Jul →
inferno	13–6	0.03	9%	6 Jul →
cache	7–13	-0.04	11%	6 Jul →
dust2	13–3	0.04	16%	3 Jul →
dust2	6–13	-0.05	10%	2 Jul →
ancient	10–13	0.10	14%	2 Jul →
ancient	13–10	0.06	10%	2 Jul →
anubis	10–13	-0.03	7%	30 Jun →
dust2	11–13	0.00	12%	30 Jun →
mirage	13–7	0.01	9%	29 Jun →
overpass	8–13	-0.09	2%	25 Jun →
anubis	4–13	0.03	19%	25 Jun →
ancient	9–13	0.05	7%	25 Jun →
anubis	13–9	0.11	15%	24 Jun →
ancient	4–13	-0.09	8%	24 Jun →
inferno	5–13	0.01	4%	24 Jun →
cache	13–6	-0.00	2%	23 Jun →
overpass	4–13	0.04	12%	18 Jun →
overpass	10–13	-0.03	11%	17 Jun →
dust2	13–8	0.05	21%	17 Jun →