Don't forget to Meow — CS2 Stats

US76561198132156837[U:1:171891109]Steam profile ↗✓ No bans

476Tracked matches39%Win rate2020Tracked since

2,354Hours in CS6Hrs last 2 wks

CSDB Rating1.7 Learning

Ladder ranks via Leetify

Performance scores

Aim7

Positioning32

Utility33

0–100 skill scores via Leetify.

Recent form

COLD42–52–6Last 10042%Win rateLLLWTLLLWL

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

Player DNA

Aim0.7

Aggression2.4

Utility3.3

Positioning3.2

Opening Duels0.0

Clutch2.0

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 NiKo 62% 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

Reaction time. 759ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 56% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim0.7

Positioning3.2

Utility3.3

Mechanics1.3

Opening Duels0.0

Win Impact1.4

Composite 1.7/10 (Learning), 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 rating-0.05−0.02

first ⅓ avg -0.03 → last ⅓ avg -0.05

Reaction time748ms+93ms

first ⅓ avg 655ms → last ⅓ avg 748ms

Headshot accuracy18.1%+2.9%

first ⅓ avg 15.2% → last ⅓ avg 18.1%

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

0.15Best rating — inferno 7–0

13–2Biggest win — dust2

8Longest win streak

L3Current streak

5–9In matches decided by ≤2 rounds

3Overtime games

Map breakdown

nukeBest map · 100% over 5ancientWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	25	11–14	44%	-0.05
inferno	C	22	8–14	36%	-0.04
dust2	C	18	8–10	44%	-0.04
ancient	D	7	1–6	14%	-0.05
train	B	6	3–3	50%	-0.05
anubis	D	6	2–4	33%	-0.01
nuke	S	5	5–0	100%	-0.01
office	—	3	1–2	33%	-0.01
cache	—	2	0–2	0%	-0.05
vertigo	—	2	1–1	50%	-0.05
overpass	—	1	1–0	100%	0.02
agency	—	1	0–1	0%	-0.05
italy	—	1	0–1	0%	-0.03
basalt	—	1	1–0	100%	-0.00

Across the last 100 tracked matches.

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

Lifetime stats

61,923Lifetime kills

0.88K/D

3,696Matches

41.5%Match win rate

36.9%Headshot %

16.4%Shot accuracy · Top 25% of tracked players

6,666MVPs

1,367Hours (in match)

3,089Bombs planted

1,012Bombs defused

Most-used weapons

AK-4712,288

M4A4 / M4A1-S7,795

AWP7,586

P2000 / USP-S4,002

Glock-182,819

Desert Eagle2,584

P902,457

AUG2,308

MP91,807

MP71,775

Lifetime map wins

7,625dust2

4,699inferno

1,302nuke

1,139train

695cbble

644office

602vertigo

191lake

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

Faceit stats

Combat

216Matches

49%Win rate

0.68Avg K/D

59.0ADR

36%Headshot %

Clutches & streaks

30%1v1 clutch win

0%1v2 clutch win

8Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	15	40%	0.58	9.9
Inferno	12	50%	0.62	10.5
Ancient	9	56%	0.62	10.4
Vertigo	6	50%	0.52	8.7
Dust2	3	33%	0.61	8.7
Anubis	3	33%	0.67	14.7
Nuke	3	0%	0.52	9.0
Cache	1	0%	0.56	9.0

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.

18.3%Headshot accuracy

19.2%Accuracy (enemy spotted)

28.3%Spray accuracy

55.8%Counter-strafing

13.0°Preaim

759msReaction time

24.2%T opening success

21.1%CT opening success

0.63Enemies flashed / flash

3.8%Flash assists

6.29HE damage / grenade

6.80Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.9598° — above the 12° mark we flag
Aim Training →
Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 759.3817ms — above the 700ms mark we flag
Aim Training →

Spend your practice time on Ancient

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.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	6–13	-0.03	17%	25 Aug →
inferno	0–24	-0.09	13%	24 Aug →
dust2	5–13	-0.09	23%	21 Aug →
nuke	13–10	-0.08	30%	21 Aug →
mirage	12–12	-0.05	10%	21 Aug →
mirage	8–13	-0.10	23%	9 Aug →
mirage	4–13	-0.06	22%	20 Jul →
cache	4–13	-0.09	42%	19 Jul →
nuke	13–11	0.05	25%	19 Jul →
ancient	11–13	-0.08	15%	19 Jul →
train	2–13	-0.05	50%	27 Dec →
ancient	5–13	-0.09	11%	27 Dec →
mirage	13–7	-0.06	10%	27 Dec →
dust2	4–13	-0.08	3%	22 Jul →
overpass	13–10	0.02	11%	21 Jul →
dust2	10–13	-0.07	22%	11 Jul →
inferno	10–13	-0.08	15%	8 Jul →
dust2	12–12	0.00	20%	8 Jul →
inferno	13–7	-0.01	18%	6 Jul →
mirage	13–10	-0.11	12%	6 Jul →
dust2	13–8	-0.05	6%	6 Jul →
dust2	8–13	-0.02	29%	15 Jun →
ancient	3–13	-0.07	6%	15 Jun →
mirage	13–11	-0.06	9%	15 Jun →
mirage	6–13	-0.07	19%	9 Jun →
office	7–5	0.02	14%	9 Jun →
vertigo	1–9	-0.04	23%	5 Jun →
dust2	13–5	0.01	23%	5 Jun →
train	13–10	-0.06	23%	4 Jun →
nuke	13–6	-0.02	15%	29 May →
mirage	8–13	-0.07	10%	28 May →
inferno	10–13	-0.07	15%	14 May →
agency	8–13	-0.05	12%	14 May →
mirage	13–10	0.01	11%	8 May →
anubis	13–10	-0.02	15%	24 Apr →
train	6–13	-0.05	17%	24 Apr →
cache	9–13	-0.02	8%	6 Mar →
mirage	13–6	-0.03	6%	27 Feb →
dust2	13–10	-0.04	17%	27 Feb →
train	9–13	-0.08	20%	31 Jan →
dust2	11–13	-0.07	26%	29 Jan →
inferno	6–13	-0.10	17%	26 Jan →
inferno	13–8	-0.04	18%	26 Jan →
italy	10–13	-0.03	12%	26 Jan →
inferno	3–9	-0.24	6%	26 Jan →
inferno	13–11	-0.02	14%	25 Jan →
dust2	13–2	-0.02	16%	25 Jan →
mirage	11–13	-0.08	13%	23 Jan →
mirage	12–12	-0.08	16%	9 Jan →
anubis	9–13	-0.03	16%	11 Dec →
inferno	10–13	-0.01	9%	2 Dec →
mirage	9–13	-0.03	17%	2 Dec →
anubis	9–13	0.01	10%	2 Dec →
anubis	5–13	0.01	15%	30 Nov →
mirage	5–13	-0.03	18%	30 Nov →
inferno	1–13	-0.05	29%	25 Nov →
basalt	13–10	-0.00	20%	21 Nov →
train	13–11	-0.03	11%	20 Nov →
ancient	11–13	-0.08	13%	19 Nov →
train	13–8	-0.02	24%	17 Nov →
dust2	13–9	-0.01	28%	13 Nov →
inferno	13–10	-0.02	7%	12 Nov →
mirage	13–9	-0.00	14%	11 Nov →
inferno	13–3	0.05	14%	9 Nov →
mirage	13–11	0.01	23%	7 Nov →
mirage	16–12	-0.00	13%	7 Nov →
office	13–6	-0.04	14%	5 Nov →
ancient	11–13	-0.07	13%	29 Oct →
inferno	12–12	-0.02	9%	28 Oct →
nuke	13–7	-0.03	8%	28 Oct →
office	11–13	-0.00	12%	22 Oct →
inferno	16–19	-0.02	17%	20 Oct →
mirage	13–9	-0.06	11%	20 Oct →
dust2	13–7	-0.06	7%	19 Oct →
ancient	8–13	-0.10	11%	16 Oct →
inferno	5–13	-0.03	17%	16 Oct →
mirage	5–13	-0.06	15%	15 Oct →
nuke	13–6	0.00	17%	15 Oct →
inferno	10–13	-0.05	25%	13 Oct →
anubis	13–2	0.03	6%	12 Oct →
anubis	11–13	-0.05	16%	12 Oct →
ancient	13–8	0.10	18%	11 Oct →
dust2	13–10	0.02	21%	10 Oct →
dust2	5–13	-0.03	20%	30 Sept →
inferno	9–4	-0.07	16%	30 Sept →
inferno	13–9	0.04	11%	27 Sept →
inferno	7–0	0.15	8%	27 Sept →
vertigo	13–10	-0.06	16%	27 Sept →
inferno	11–13	-0.05	21%	26 Sept →
dust2	2–13	-0.04	25%	26 Sept →
inferno	7–13	-0.02	17%	26 Sept →
mirage	4–13	-0.08	27%	14 Sept →
inferno	12–12	-0.08	23%	25 Aug →
mirage	10–13	-0.12	11%	25 Aug →
dust2	9–13	-0.10	9%	9 Aug →
mirage	12–12	-0.07	11%	9 Aug →
mirage	13–6	-0.00	11%	8 Aug →
mirage	5–13	-0.05	27%	8 Aug →
mirage	13–9	-0.04	4%	6 Aug →
dust2	13–4	-0.06	25%	6 Aug →