Veganarchist — CS2 Stats

76561198018471804[U:1:58206076]Steam profile ↗

9,076Tracked matches55%Win rate2021Tracked since

9,614Hours in CS40Hrs last 2 wks

CSDB Rating3.9 Learning

Premier CS Rating16,812Purple band · top ~21.2% of ranked players (population est.)

CSDB Leaderboard#10906 of 18661 tracked

FaceitLevel 4 · 1,053 ELOTop 81.0% of ranked FACEIT players

WingmanGold Nova Master

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim38

Positioning41

Utility53

0–100 skill scores via Leetify.

Recent form

STEADY43–54–3Last 10043%Win rateLWWLTLWWWW

Last 10 vs previous 10: +20pp win rate · -0.02 avg rating

Player DNA

Aim3.8

Aggression4.4

Utility5.3

Positioning4.1

Opening Duels0.0

Clutch3.6

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 78% playstyle similarity

Most alike: opening-fight frequency, 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

T-side openings. Opening success drops from 41% on CT to 19% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 607ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 59% 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

Aim3.8

Positioning4.1

Utility5.3

Mechanics2.0

Opening Duels1.4

Win Impact6.7

Composite 3.9/10 (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-0.02+0.02

first ⅓ avg -0.04 → last ⅓ avg -0.02

Reaction time607ms−30ms

first ⅓ avg 637ms → last ⅓ avg 607ms

Headshot accuracy20.9%+0.9%

first ⅓ avg 20.0% → last ⅓ avg 20.9%

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

0.09Best rating — dust2 6–0

13–1Biggest win — boulder

5Longest win streak

3–7In matches decided by ≤2 rounds

5Overtime games

Map breakdown

ancientBest map · 63% over 8mirageWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	42	19–23	45%	-0.03
nuke	A	11	6–5	55%	-0.02
inferno	D	9	3–6	33%	-0.03
cache	D	9	3–6	33%	-0.04
ancient	A	8	5–3	63%	-0.03
mirage	D	8	2–6	25%	-0.05
anubis	—	3	2–1	67%	-0.01
fachwerk	—	2	0–2	0%	-0.01
boulder	—	2	1–1	50%	0.01
italy	—	2	1–1	50%	-0.06
overpass	—	1	0–1	0%	-0.05
train	—	1	0–1	0%	-0.06
shelter	—	1	0–1	0%	-0.03
vertigo	—	1	1–0	100%	-0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

215,248Lifetime kills

0.79K/D

15,021Matches

45.9%Match win rate

48.8%Headshot % · Top 50% of tracked players

7.2%Shot accuracy

30,388MVPs

5,620Hours (in match)

18,502Bombs planted

3,386Bombs defused

Most-used weapons

M4A4 / M4A1-S42,568

AK-4741,175

P2000 / USP-S15,802

Desert Eagle12,565

Glock-1812,359

AWP11,302

MAC-1010,335

MP97,644

MP76,953

Galil AR6,477

Lifetime map wins

49,365dust2

21,387inferno

13,217nuke

5,782vertigo

3,708cbble

3,176train

1,000office

835italy

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

Faceit stats

Combat

860Matches

51%Win rate

0.82Avg K/D

69.3ADR

47%Headshot %

Clutches & streaks

38%1v1 clutch win

24%1v2 clutch win

9Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	249	57%	0.90	13.5
Mirage	120	35%	0.74	12.3
Inferno	115	56%	0.83	13.5
Ancient	92	53%	0.79	13.1
Anubis	77	56%	0.83	13.6
Nuke	50	48%	0.72	11.9
Overpass	27	52%	0.84	13.6
Train	17	41%	0.82	12.5

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.

20.4%Headshot accuracy

31.7%Accuracy (enemy spotted)

32.7%Spray accuracy

59.0%Counter-strafing

12.6°Preaim

607msReaction time

19.0%T opening success

41.4%CT opening success

0.55Enemies flashed / flash

3.5%Flash assists

10.42HE damage / grenade

10.23Flashes / 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 12.6102° — above the 12° mark we flag
Aim Training →

Spend your practice time on Mirage

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
fachwerk	9–13	0.00	32%	25 Aug →
inferno	13–5	-0.05	26%	25 Aug →
dust2	13–9	-0.06	17%	25 Aug →
inferno	7–13	-0.04	23%	25 Aug →
inferno	15–15	-0.07	10%	25 Aug →
nuke	10–13	-0.04	21%	24 Aug →
cache	13–9	-0.04	24%	24 Aug →
inferno	13–6	0.06	13%	24 Aug →
dust2	13–7	-0.03	13%	24 Aug →
dust2	13–9	-0.05	13%	24 Aug →
dust2	8–13	0.05	29%	24 Aug →
anubis	13–4	-0.02	13%	24 Aug →
dust2	13–7	-0.03	19%	24 Aug →
dust2	13–10	0.01	18%	24 Aug →
dust2	0–13	-0.05	13%	24 Aug →
nuke	14–16	-0.01	17%	23 Aug →
dust2	10–13	-0.05	25%	23 Aug →
dust2	6–0	0.09	33%	23 Aug →
dust2	6–13	-0.05	16%	23 Aug →
nuke	7–13	-0.05	24%	23 Aug →
nuke	8–13	-0.04	21%	23 Aug →
nuke	13–10	-0.01	24%	23 Aug →
dust2	13–7	-0.03	43%	23 Aug →
cache	14–16	-0.03	18%	23 Aug →
dust2	9–13	-0.03	25%	23 Aug →
cache	12–3	-0.07	27%	22 Aug →
anubis	13–11	0.01	20%	22 Aug →
nuke	13–4	-0.04	13%	22 Aug →
dust2	13–5	0.06	17%	22 Aug →
dust2	3–13	0.01	16%	22 Aug →
dust2	6–13	-0.07	26%	22 Aug →
overpass	6–13	-0.05	23%	20 Aug →
inferno	8–4	0.02	19%	20 Aug →
nuke	13–9	0.00	15%	20 Aug →
ancient	8–13	-0.04	16%	20 Aug →
cache	6–13	-0.04	6%	20 Aug →
mirage	10–13	-0.03	35%	20 Aug →
cache	10–13	-0.03	19%	18 Aug →
dust2	16–13	-0.01	21%	18 Aug →
dust2	9–13	-0.02	24%	18 Aug →
mirage	6–13	-0.09	29%	17 Aug →
ancient	13–7	0.01	18%	17 Aug →
dust2	11–13	0.04	17%	17 Aug →
cache	8–13	-0.04	16%	17 Aug →
ancient	13–9	-0.01	24%	17 Aug →
boulder	13–1	0.03	44%	17 Aug →
dust2	9–13	-0.05	17%	17 Aug →
train	6–13	-0.06	17%	17 Aug →
dust2	13–6	-0.10	0%	17 Aug →
nuke	16–13	-0.03	16%	16 Aug →
dust2	13–7	-0.04	24%	16 Aug →
dust2	13–9	-0.04	25%	16 Aug →
mirage	13–4	-0.07	17%	15 Aug →
dust2	5–13	0.05	20%	15 Aug →
dust2	13–8	-0.02	32%	14 Aug →
ancient	13–7	-0.04	17%	14 Aug →
nuke	9–13	0.03	20%	14 Aug →
dust2	6–13	-0.03	19%	14 Aug →
dust2	10–13	-0.03	16%	14 Aug →
dust2	13–9	-0.07	20%	14 Aug →
nuke	13–8	0.05	14%	13 Aug →
nuke	13–9	-0.06	35%	13 Aug →
cache	4–13	-0.06	8%	13 Aug →
dust2	11–13	-0.02	21%	13 Aug →
dust2	5–13	0.06	19%	13 Aug →
italy	13–1	-0.07	29%	13 Aug →
dust2	6–13	-0.06	17%	13 Aug →
dust2	11–13	-0.00	16%	13 Aug →
dust2	13–6	-0.07	10%	13 Aug →
ancient	13–5	-0.05	17%	13 Aug →
mirage	5–13	-0.08	21%	13 Aug →
inferno	3–13	-0.08	31%	13 Aug →
dust2	7–13	-0.04	17%	12 Aug →
inferno	3–13	-0.03	21%	12 Aug →
inferno	12–12	-0.02	7%	12 Aug →
mirage	12–12	-0.07	23%	12 Aug →
dust2	8–13	-0.10	14%	12 Aug →
cache	13–11	-0.08	15%	12 Aug →
cache	10–13	0.01	34%	11 Aug →
dust2	5–13	-0.06	29%	11 Aug →
ancient	13–6	0.01	14%	11 Aug →
dust2	13–6	-0.00	23%	11 Aug →
inferno	5–13	-0.05	19%	11 Aug →
ancient	4–13	-0.09	7%	11 Aug →
dust2	4–13	0.00	23%	11 Aug →
dust2	11–12	-0.05	17%	11 Aug →
mirage	5–0	0.05	50%	11 Aug →
anubis	3–13	-0.03	27%	10 Aug →
dust2	4–13	-0.06	20%	10 Aug →
shelter	1–13	-0.03	16%	10 Aug →
vertigo	13–10	-0.03	22%	10 Aug →
italy	11–13	-0.05	13%	10 Aug →
boulder	3–4	-0.02	13%	10 Aug →
fachwerk	2–13	-0.02	19%	10 Aug →
mirage	3–13	-0.08	25%	10 Aug →
dust2	9–2	-0.08	22%	10 Aug →
mirage	5–13	-0.03	8%	10 Aug →
ancient	8–13	-0.08	19%	10 Aug →
dust2	13–10	-0.03	19%	9 Aug →
dust2	5–13	-0.07	26%	9 Aug →