meepstergod4 — CS2 Stats

76561198131208105[U:1:170942377]

1,072Tracked matches43%Win rate2021Tracked since

1,929Hours in CS

CSDB Rating2.9 Learning

Ladder ranks via Leetify

Performance scores

Aim27

Positioning32

Utility40

0–100 skill scores via Leetify.

Recent form

STEADY38–56–6Last 10038%Win rateLLLLWLWWWL

Last 10 vs previous 10: -10pp win rate · +0.00 avg rating

Player DNA

Aim2.7

Aggression2.3

Utility4.0

Positioning3.2

Opening Duels0.0

Clutch2.2

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 67% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower positioning profile; 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. 673ms 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

Aim2.7

Positioning3.2

Utility4.0

Mechanics5.6

Opening Duels0.0

Win Impact2.8

Composite 2.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.00

first ⅓ avg -0.04 → last ⅓ avg -0.04

Reaction time672ms+52ms

first ⅓ avg 620ms → last ⅓ avg 672ms

Headshot accuracy15.7%−2.7%

first ⅓ avg 18.4% → last ⅓ avg 15.7%

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

0.09Best rating — inferno 13–7

13–1Biggest win — cache

5Longest win streak

L4Current streak

2–13In matches decided by ≤2 rounds

12Overtime games

Map breakdown

dust2Best map · 50% over 22nukeWeakest map · 27% over 15

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	22	11–11	50%	-0.06
nuke	D	15	4–11	27%	-0.06
cache	D	13	4–9	31%	-0.05
anubis	C	13	5–8	38%	-0.04
inferno	C	12	5–7	42%	-0.02
mirage	D	6	2–4	33%	-0.03
train	C	5	2–3	40%	-0.03
overpass	C	5	2–3	40%	-0.04
vertigo	—	4	1–3	25%	-0.02
ancient	—	4	2–2	50%	-0.05
italy	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

71,831Lifetime kills

0.91K/D

4,857Matches

40.6%Match win rate

38.1%Headshot %

13.4%Shot accuracy · Top 50% of tracked players

5,896MVPs

1,929Hours (in match)

3,482Bombs planted

601Bombs defused

Most-used weapons

M4A4 / M4A1-S12,019

AK-4711,915

AWP11,866

Desert Eagle5,475

P2504,392

P2000 / USP-S4,105

MP72,567

SSG 082,469

Glock-182,322

FAMAS1,321

Lifetime map wins

7,707dust2

3,436inferno

3,285nuke

1,372train

837vertigo

408cbble

296office

53lake

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

Faceit stats

Combat

99Matches

46%Win rate

0.68Avg K/D

62.4ADR

48%Headshot %

Clutches & streaks

31%1v1 clutch win

15%1v2 clutch win

11Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	18	44%	0.67	10.6
Dust2	18	67%	0.63	10.3
Mirage	14	36%	0.71	11.8
Inferno	13	46%	0.54	10.1
Train	12	75%	0.92	13.3
Anubis	10	30%	0.71	11.4
Cache	2	0%	0.22	4.0

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.

16.0%Headshot accuracy

23.7%Accuracy (enemy spotted)

27.4%Spray accuracy

75.1%Counter-strafing

11.2°Preaim

673msReaction time

22.7%T opening success

29.8%CT opening success

0.57Enemies flashed / flash

4.8%Flash assists

11.88HE damage / grenade

7.05Flashes / 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 22.7053% — 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.

27% win rate across 15 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
inferno	8–13	-0.06	7%	9 Aug →
cache	4–13	-0.10	10%	8 Aug →
anubis	11–13	-0.10	12%	2 Aug →
anubis	11–13	-0.08	10%	2 Aug →
anubis	13–9	-0.05	5%	1 Aug →
cache	11–13	-0.02	24%	31 Jul →
anubis	13–10	-0.04	19%	29 Jul →
cache	13–1	-0.03	4%	29 Jul →
cache	16–13	-0.03	10%	26 Jul →
mirage	7–13	-0.03	12%	25 Jul →
dust2	8–13	-0.04	12%	3 Jul →
inferno	10–13	-0.03	17%	3 Jul →
anubis	13–8	-0.03	17%	2 Jul →
nuke	11–13	-0.03	15%	2 Jul →
dust2	10–13	-0.10	21%	26 Jun →
dust2	13–9	-0.05	18%	26 Jun →
cache	13–16	-0.14	20%	26 Jun →
dust2	13–7	-0.04	11%	26 Jun →
dust2	16–14	-0.07	19%	22 Jun →
nuke	13–11	-0.04	17%	21 Jun →
dust2	6–13	-0.08	33%	14 Jun →
vertigo	10–13	-0.04	22%	9 Jun →
dust2	13–8	0.04	27%	9 Jun →
nuke	13–6	-0.06	16%	7 Jun →
nuke	12–16	-0.08	17%	7 Jun →
inferno	13–7	0.09	14%	6 Jun →
nuke	10–13	-0.06	21%	6 Jun →
mirage	13–4	0.03	7%	6 Jun →
cache	4–13	-0.09	17%	6 Jun →
dust2	9–13	-0.04	18%	5 Jun →
anubis	2–13	-0.06	8%	5 Jun →
vertigo	9–13	0.01	15%	5 Jun →
cache	11–13	-0.01	21%	29 May →
dust2	8–13	-0.09	21%	27 May →
nuke	7–13	-0.08	20%	27 May →
anubis	13–4	0.07	23%	27 May →
italy	12–12	-0.03	9%	26 May →
train	13–7	0.05	14%	26 May →
cache	7–13	-0.04	28%	26 May →
dust2	13–6	-0.02	16%	13 May →
anubis	9–13	-0.04	9%	12 May →
cache	0–13	-0.05	11%	9 May →
cache	13–8	-0.01	20%	9 May →
anubis	16–13	-0.06	11%	2 May →
cache	9–13	-0.10	0%	30 Apr →
cache	13–2	0.04	14%	30 Apr →
cache	5–13	-0.05	5%	30 Apr →
train	13–5	-0.02	15%	26 Apr →
dust2	13–9	-0.03	27%	26 Apr →
dust2	12–12	-0.06	26%	25 Apr →
anubis	9–13	0.00	17%	21 Apr →
anubis	12–12	-0.05	5%	18 Apr →
anubis	14–16	-0.05	11%	18 Apr →
ancient	13–2	-0.05	18%	14 Apr →
ancient	11–13	-0.05	7%	6 Apr →
dust2	2–13	-0.08	10%	6 Apr →
dust2	12–16	-0.10	12%	1 Apr →
nuke	8–13	-0.08	13%	26 Mar →
anubis	15–15	-0.07	22%	25 Mar →
dust2	13–7	-0.01	21%	21 Mar →
nuke	13–8	-0.09	2%	21 Mar →
dust2	13–8	-0.11	6%	19 Mar →
train	9–13	-0.08	20%	19 Mar →
mirage	11–13	-0.07	14%	14 Mar →
nuke	13–6	0.03	8%	14 Mar →
inferno	16–13	-0.09	9%	14 Mar →
nuke	9–13	-0.04	9%	14 Mar →
inferno	5–13	-0.08	13%	12 Mar →
overpass	8–13	-0.09	13%	12 Mar →
ancient	5–13	-0.06	10%	10 Mar →
overpass	13–10	-0.08	16%	9 Mar →
inferno	13–4	0.05	33%	9 Mar →
inferno	13–9	-0.03	15%	7 Mar →
dust2	13–8	-0.04	18%	1 Mar →
dust2	13–8	-0.07	12%	1 Mar →
inferno	15–15	-0.03	21%	1 Mar →
dust2	11–13	-0.04	20%	28 Feb →
inferno	13–6	0.00	21%	28 Feb →
nuke	10–13	-0.06	15%	26 Feb →
ancient	13–2	-0.03	8%	26 Feb →
mirage	13–3	0.05	21%	26 Feb →
nuke	9–13	-0.07	26%	24 Feb →
overpass	13–6	0.06	15%	24 Feb →
dust2	16–13	-0.05	14%	22 Feb →
dust2	11–13	-0.02	24%	21 Feb →
inferno	8–13	-0.06	15%	21 Feb →
train	6–13	-0.04	27%	21 Feb →
vertigo	10–13	-0.04	13%	18 Feb →
dust2	8–13	-0.11	16%	15 Feb →
mirage	14–16	-0.06	18%	15 Feb →
inferno	10–13	0.02	17%	14 Feb →
nuke	7–13	-0.10	44%	14 Feb →
nuke	6–13	-0.07	13%	14 Feb →
inferno	8–13	0.00	28%	14 Feb →
mirage	5–13	-0.07	29%	13 Feb →
overpass	11–13	-0.04	19%	8 Feb →
nuke	12–12	-0.04	18%	6 Feb →
overpass	7–13	-0.07	5%	6 Feb →
vertigo	13–8	-0.01	17%	6 Feb →
train	11–13	-0.06	16%	1 Feb →