ego — CS2 Stats

76561198060280166[U:1:100014438]Steam profile ↗✓ No bans

520Tracked matches39%Win rate2021Tracked since

1,425Hours in CS

CSDB Rating5.2 Developing

Ladder ranks via Leetify

Performance scores

Aim58

Positioning58

Utility35

0–100 skill scores via Leetify.

Recent form

STEADY49–47–4Last 10049%Win rateWWLWLLWLWL

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

Player DNA

Aim5.8

Aggression9.0

Utility3.5

Positioning5.8

Opening Duels4.7

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 ropz 85% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: higher opening-fight frequency; 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. 615ms 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

Aim5.8

Positioning5.8

Utility3.5

Mechanics7.7

Opening Duels4.7

Win Impact1.4

Composite 5.2/10 (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 rating0.02+0.02

first ⅓ avg 0.00 → last ⅓ avg 0.02

Reaction time618ms−3ms

first ⅓ avg 620ms → last ⅓ avg 618ms

Headshot accuracy10.6%−1.4%

first ⅓ avg 12.0% → last ⅓ avg 10.6%

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 — anubis 13–6

13–1Biggest win — anubis

4Longest win streak

W2Current streak

9–7In matches decided by ≤2 rounds

9Overtime games

Map breakdown

mirageBest map · 65% over 23ancientWeakest map · 25% over 12

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	23	15–8	65%	0.01
dust2	B	19	9–10	47%	0.01
nuke	A	18	10–8	56%	0.01
ancient	D	12	3–9	25%	-0.01
anubis	A	10	6–4	60%	-0.01
inferno	D	6	2–4	33%	-0.02
train	—	3	2–1	67%	0.00
overpass	—	3	1–2	33%	-0.01
vertigo	—	2	0–2	0%	0.07
cache	—	1	1–0	100%	0.03
alpine	—	1	0–1	0%	0.13
warden	—	1	0–1	0%	-0.03
office	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

82,606Lifetime kills

1.12K/D · Top 50% of tracked players

3,007Matches

40.8%Match win rate

39.4%Headshot %

16.0%Shot accuracy · Top 25% of tracked players

5,386MVPs

1,425Hours (in match)

2,852Bombs planted

661Bombs defused

Most-used weapons

AK-4732,700

M4A4 / M4A1-S13,926

P2000 / USP-S5,444

AWP4,847

Desert Eagle3,476

Five-SeveN2,596

Glock-182,534

P2502,200

P901,665

Tec-91,170

Lifetime map wins

9,783dust2

2,618inferno

2,535nuke

788train

360vertigo

137cbble

73office

61bank

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

Faceit stats

Combat

1Matches

100%Win rate

4.50Avg K/D

—ADR

56%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

1Longest win streak

Recent Faceit resultsLLLLW

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.

10.4%Headshot accuracy

33.1%Accuracy (enemy spotted)

36.4%Spray accuracy

84.7%Counter-strafing

9.9°Preaim

615msReaction time

42.6%T opening success

55.3%CT opening success

0.38Enemies flashed / flash

4.9%Flash assists

11.60HE damage / grenade

1.94Flashes / 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 10.4465% — below the 15% 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 0.382 — below the 0.5 mark we flag
Grenade Lineups →

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.

25% win rate across 12 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
nuke	13–5	0.07	9%	9 Aug →
cache	13–7	0.03	3%	8 Aug →
nuke	11–13	0.07	13%	4 Aug →
nuke	13–8	0.00	8%	4 Aug →
nuke	3–13	-0.01	18%	25 Jul →
dust2	9–13	-0.04	14%	25 Jul →
inferno	13–4	-0.01	20%	23 Jul →
nuke	6–13	0.01	7%	23 Jul →
mirage	13–6	0.10	19%	18 Jul →
vertigo	11–13	0.06	8%	9 Apr →
train	13–10	0.00	14%	9 Apr →
mirage	8–13	0.01	19%	27 Mar →
mirage	13–7	0.10	12%	27 Mar →
ancient	6–13	-0.03	5%	27 Mar →
ancient	5–13	-0.04	4%	24 Mar →
ancient	8–13	0.05	15%	23 Mar →
anubis	13–6	0.13	5%	23 Mar →
anubis	15–15	0.03	12%	23 Mar →
ancient	13–4	0.06	4%	23 Mar →
dust2	7–13	-0.03	7%	23 Mar →
inferno	7–13	-0.06	4%	22 Mar →
nuke	2–13	0.03	6%	22 Mar →
dust2	6–13	-0.00	10%	22 Mar →
ancient	15–15	-0.01	13%	22 Mar →
mirage	3–11	-0.06	6%	22 Mar →
nuke	8–13	0.02	9%	22 Mar →
nuke	13–11	0.04	14%	20 Mar →
anubis	16–14	0.04	7%	20 Mar →
mirage	2–13	-0.05	10%	20 Mar →
dust2	9–13	0.10	13%	20 Mar →
mirage	13–11	0.06	12%	19 Mar →
anubis	13–7	-0.01	12%	19 Mar →
dust2	10–13	0.06	17%	19 Mar →
anubis	7–13	0.03	17%	17 Mar →
anubis	1–13	-0.11	0%	17 Mar →
mirage	13–5	-0.01	9%	17 Mar →
dust2	13–11	0.02	6%	17 Mar →
ancient	6–13	-0.05	14%	17 Mar →
inferno	0–3	-0.03	0%	17 Mar →
ancient	14–16	-0.05	10%	17 Mar →
mirage	13–9	-0.03	16%	17 Mar →
nuke	13–10	-0.08	8%	17 Mar →
alpine	6–13	0.13	10%	15 Mar →
warden	3–13	-0.03	5%	15 Mar →
vertigo	8–13	0.08	9%	15 Mar →
office	3–13	-0.03	4%	15 Mar →
nuke	8–13	0.00	5%	11 Mar →
ancient	10–13	-0.04	10%	22 Feb →
ancient	2–13	-0.07	15%	22 Feb →
mirage	13–9	-0.04	6%	21 Feb →
dust2	13–7	-0.04	11%	21 Feb →
nuke	3–13	-0.06	5%	21 Feb →
mirage	13–3	-0.03	8%	20 Feb →
anubis	13–1	0.01	3%	19 Feb →
anubis	16–13	-0.02	7%	19 Feb →
mirage	9–13	-0.01	13%	17 Feb →
mirage	13–3	-0.03	9%	13 Feb →
dust2	13–8	-0.06	5%	13 Feb →
mirage	11–13	-0.02	13%	13 Feb →
mirage	4–13	-0.03	15%	13 Feb →
dust2	13–10	-0.01	9%	13 Feb →
dust2	4–13	-0.03	13%	12 Feb →
mirage	13–3	0.06	12%	12 Feb →
nuke	13–4	-0.04	6%	12 Feb →
dust2	13–6	0.11	12%	9 Feb →
mirage	13–3	0.04	15%	5 Feb →
dust2	15–15	-0.03	12%	5 Feb →
nuke	16–14	-0.00	9%	5 Feb →
dust2	13–8	-0.03	6%	5 Feb →
ancient	13–3	0.04	9%	5 Feb →
nuke	6–13	-0.01	14%	5 Feb →
mirage	13–11	-0.03	17%	5 Feb →
mirage	13–10	0.06	8%	5 Feb →
dust2	11–13	0.04	15%	28 Jan →
mirage	13–11	0.04	10%	28 Jan →
anubis	13–5	-0.10	10%	28 Jan →
inferno	6–13	-0.01	17%	28 Jan →
dust2	13–7	0.01	10%	25 Jan →
mirage	13–10	-0.03	7%	25 Jan →
dust2	15–15	0.02	15%	24 Jan →
mirage	14–16	0.01	11%	23 Jan →
anubis	6–13	-0.04	14%	23 Jan →
nuke	13–2	0.09	11%	23 Jan →
mirage	2–13	-0.05	11%	17 Jan →
ancient	3–13	-0.07	3%	17 Jan →
dust2	6–13	-0.06	24%	17 Jan →
nuke	13–5	-0.06	6%	17 Jan →
overpass	4–13	-0.00	17%	15 Jan →
train	13–10	0.02	3%	15 Jan →
nuke	13–10	0.04	15%	15 Jan →
overpass	13–7	-0.01	7%	13 Jan →
train	11–13	-0.01	8%	13 Jan →
mirage	13–11	0.08	15%	13 Jan →
dust2	13–8	0.02	12%	12 Jan →
inferno	13–11	-0.01	15%	12 Jan →
nuke	13–10	-0.02	26%	12 Jan →
overpass	6–13	-0.03	6%	10 Jan →
ancient	13–9	0.05	12%	10 Jan →
dust2	13–9	0.08	12%	10 Jan →
inferno	7–13	0.00	21%	10 Jan →