dont call them liches bro... — CS2 Stats

US76561198435055904[U:1:474790176]Steam profile ↗✓ No bans

1,238Tracked matches56%Win rate2020Tracked since

5,309Hours in CS2Hrs last 2 wks

CSDB Rating4.8 Developing

FaceitLevel 3Top 90.6% of ranked FACEIT players

WingmanSilver Elite

Ladder ranks via Leetify

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Performance scores

Aim48

Positioning48

Utility29

0–100 skill scores via Leetify.

Recent form

HOT58–30–12Last 10058%Win rateLWWLWWTWWW

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating

Player DNA

Aim4.8

Aggression6.5

Utility2.9

Positioning4.8

Opening Duels1.3

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 77% playstyle similarity

Most alike: opening-duel success, positioning profile.

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. 726ms 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

Aim4.8

Positioning4.8

Utility2.9

Mechanics7.5

Opening Duels1.3

Win Impact6.9

Composite 4.8/10 (Developing), 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 rating0.00−0.00

first ⅓ avg 0.01 → last ⅓ avg 0.00

Reaction time748ms+82ms

first ⅓ avg 666ms → last ⅓ avg 748ms

Headshot accuracy25.3%−0.3%

first ⅓ avg 25.6% → last ⅓ avg 25.3%

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

0.12Best rating — dust2 13–11

13–0Biggest win — dust2

6Longest win streak

6–4In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 76% over 17infernoWeakest map · 43% over 21

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	22	10–12	45%	-0.00
inferno	C	21	9–12	43%	-0.01
mirage	S	17	13–4	76%	0.01
nuke	S	15	11–4	73%	-0.01
ancient	S	12	8–4	67%	0.02
cache	—	4	3–1	75%	0.05
anubis	—	2	2–0	100%	-0.00
train	—	2	1–1	50%	-0.01
overpass	—	2	0–2	0%	-0.10
vertigo	—	1	0–1	0%	0.04
office	—	1	0–1	0%	0.00
italy	—	1	1–0	100%	0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (43% over 21). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

79,695Lifetime kills

1.09K/D · Top 50% of tracked players

4,761Matches

49.8%Match win rate · Top 25% of tracked players

41.6%Headshot %

17.0%Shot accuracy · Top 25% of tracked players

11,677MVPs

1,340Hours (in match)

3,796Bombs planted

2,374Bombs defused

Most-used weapons

AK-4720,104

AWP15,429

M4A4 / M4A1-S14,579

P2000 / USP-S4,965

Desert Eagle3,910

Glock-183,551

Galil AR2,320

Knife1,795

P2501,681

MP91,562

Lifetime map wins

7,275inferno

4,305nuke

4,092dust2

3,124vertigo

906train

233lake

185cbble

57office

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

Faceit stats

Combat

9Matches

44%Win rate

1.07Avg K/D

—ADR

38%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

4Longest win streak

Recent Faceit resultsWLLLL

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.

24.7%Headshot accuracy

30.1%Accuracy (enemy spotted)

30.8%Spray accuracy

83.6%Counter-strafing

12.4°Preaim

726msReaction time

32.8%T opening success

37.5%CT opening success

0.43Enemies flashed / flash

5.2%Flash assists

7.01HE damage / grenade

4.22Flashes / 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 12.4483° — 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 726.3853ms — above the 700ms mark we flag
Aim Training →
Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4307 — below the 0.5 mark we flag
Grenade Lineups →

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.

43% win rate across 21 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
ancient	9–13	-0.01	23%	7 Aug →
mirage	13–8	-0.01	29%	4 Aug →
nuke	6–0	0.02	33%	4 Aug →
nuke	10–13	-0.04	28%	3 Aug →
dust2	13–7	-0.02	12%	29 Jul →
dust2	13–0	0.12	38%	24 Jul →
inferno	12–12	-0.03	29%	21 Jul →
inferno	13–10	0.00	31%	19 Jul →
cache	3–2	0.10	29%	19 Jul →
nuke	13–9	-0.02	16%	8 Jun →
mirage	4–13	0.02	23%	2 Jun →
cache	1–13	-0.02	18%	2 Jun →
ancient	13–8	0.03	16%	15 May →
cache	13–9	0.03	17%	14 May →
cache	13–0	0.08	32%	14 May →
inferno	9–13	-0.06	19%	24 Apr →
vertigo	4–13	0.04	19%	24 Apr →
nuke	13–10	0.07	18%	24 Apr →
dust2	13–6	-0.04	23%	24 Apr →
inferno	12–12	-0.09	39%	21 Apr →
dust2	12–12	-0.01	31%	30 Mar →
mirage	13–1	0.02	19%	30 Mar →
inferno	4–13	-0.06	20%	18 Mar →
ancient	13–8	-0.04	20%	14 Mar →
inferno	5–13	-0.08	14%	8 Mar →
dust2	11–13	-0.08	22%	4 Mar →
ancient	13–3	0.12	20%	4 Mar →
nuke	6–13	0.08	43%	3 Mar →
nuke	7–13	-0.05	33%	3 Mar →
dust2	3–13	0.00	35%	3 Mar →
mirage	13–9	0.02	28%	3 Mar →
mirage	13–11	-0.02	17%	3 Mar →
inferno	5–13	-0.01	41%	28 Feb →
office	12–12	0.00	40%	28 Feb →
dust2	13–4	-0.07	17%	28 Feb →
dust2	5–13	0.02	38%	27 Feb →
dust2	13–11	0.12	22%	27 Feb →
anubis	13–5	0.02	11%	27 Feb →
dust2	10–13	0.03	21%	27 Feb →
mirage	13–5	-0.08	10%	26 Feb →
nuke	13–10	-0.03	10%	26 Feb →
dust2	13–4	0.01	14%	25 Feb →
dust2	8–13	-0.01	27%	22 Feb →
inferno	13–5	0.03	29%	22 Feb →
mirage	10–3	-0.04	23%	22 Feb →
inferno	9–2	0.05	33%	22 Feb →
dust2	13–7	0.05	26%	21 Feb →
mirage	13–6	0.00	19%	19 Feb →
ancient	13–9	-0.05	17%	19 Feb →
dust2	6–13	0.01	26%	19 Feb →
dust2	6–13	-0.06	23%	19 Feb →
italy	13–11	0.01	24%	18 Feb →
train	8–13	-0.02	22%	18 Feb →
dust2	13–9	-0.02	11%	18 Feb →
inferno	12–12	-0.04	30%	18 Feb →
dust2	12–12	-0.03	17%	15 Feb →
dust2	9–13	-0.04	19%	12 Feb →
mirage	13–2	-0.00	18%	12 Feb →
ancient	13–2	0.04	20%	10 Feb →
mirage	13–2	0.02	24%	31 Jan →
dust2	13–3	0.03	20%	31 Jan →
inferno	13–5	0.06	27%	26 Jan →
overpass	12–12	-0.16	0%	21 Jan →
nuke	13–11	-0.06	25%	18 Jan →
mirage	13–6	0.02	23%	18 Jan →
inferno	11–13	0.03	16%	17 Jan →
nuke	13–6	0.02	21%	17 Jan →
anubis	13–8	-0.02	23%	13 Jan →
nuke	13–5	0.01	41%	13 Jan →
nuke	13–6	-0.01	25%	12 Jan →
mirage	12–12	0.03	18%	11 Jan →
mirage	11–13	-0.02	21%	10 Jan →
inferno	7–13	0.07	22%	10 Jan →
dust2	2–13	-0.04	48%	10 Jan →
inferno	13–7	-0.04	22%	9 Jan →
ancient	13–6	0.07	15%	9 Jan →
ancient	13–5	0.05	37%	9 Jan →
overpass	7–13	-0.03	17%	7 Jan →
nuke	13–7	0.00	24%	7 Jan →
ancient	6–13	0.01	27%	7 Jan →
dust2	13–4	-0.01	12%	7 Jan →
mirage	8–13	0.05	22%	5 Jan →
ancient	13–10	0.02	32%	5 Jan →
mirage	13–7	0.08	21%	4 Jan →
inferno	13–6	0.03	17%	4 Jan →
mirage	13–10	0.01	16%	4 Jan →
dust2	7–13	-0.03	33%	4 Jan →
nuke	13–11	-0.00	38%	3 Jan →
train	13–6	-0.01	24%	3 Jan →
ancient	12–12	-0.02	28%	29 Dec →
inferno	13–6	-0.02	17%	29 Dec →
nuke	13–5	-0.04	43%	29 Dec →
inferno	11–13	-0.04	26%	29 Dec →
mirage	13–5	0.05	24%	27 Dec →
inferno	13–10	0.03	30%	25 Dec →
inferno	13–6	-0.01	30%	25 Dec →
ancient	8–13	0.00	28%	24 Dec →
inferno	12–12	0.01	16%	24 Dec →
inferno	12–12	0.05	33%	23 Dec →
nuke	12–12	-0.06	12%	23 Dec →