O fresco — CS2 Stats

ES76561198886813832[U:1:926548104]Steam profile ↗✓ No bans

498Tracked matches66%Win rate2020Tracked since

1,307Hours in CS3Hrs last 2 wks

CSDB Rating7.3 StrongEntry Fragger

WingmanThe Global Elite

Ladder ranks via Leetify

Performance scores

Aim94

Positioning67

Utility58

0–100 skill scores via Leetify.

Recent form

HOT70–25–5Last 10070%Win rateWWLWLWWWLW

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.

Aim9.4

Aggression10.0

Utility5.8

Positioning6.7

Opening Duels6.3

Clutch5.2

Sharp aimerExcellent counter-strafing

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 s1mple 93% playstyle similarity

Most alike: opening-fight frequency, 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

Strengths

Aim. Aim score of 94 — the mechanical foundation is a clear strength.

Counter-strafing. 93% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 592ms 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

Aim9.4

Positioning6.7

Utility5.8

Mechanics9.5

Opening Duels6.3

Win Impact10.0

Composite 7.3/10 (Strong), 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 rating0.05+0.02

first ⅓ avg 0.03 → last ⅓ avg 0.05

Reaction time532ms−178ms

first ⅓ avg 710ms → last ⅓ avg 532ms

Headshot accuracy25.3%−1.0%

first ⅓ avg 26.3% → 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

0.38Best rating — inferno 9–1

13–1Biggest win — mirage

12Longest win streak

W2Current streak

6–3In matches decided by ≤2 rounds

4Overtime games

Map breakdown

vertigoBest map · 100% over 6dust2Weakest map · 47% over 17

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	29	23–6	79%	0.05
dust2	B	17	8–9	47%	0.03
inferno	S	12	9–3	75%	0.09
ancient	S	9	6–3	67%	0.03
office	A	8	5–3	63%	0.02
nuke	A	7	4–3	57%	0.07
vertigo	S	6	6–0	100%	0.12
cache	S	5	5–0	100%	0.06
overpass	A	5	3–2	60%	0.06
train	—	1	0–1	0%	0.01
anubis	—	1	1–0	100%	0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (47% over 17). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

49,475Lifetime kills

1.57K/D · Top 5% of tracked players

2,004Matches

51.2%Match win rate · Top 25% of tracked players

59.6%Headshot % · Top 10% of tracked players

16.3%Shot accuracy · Top 25% of tracked players

6,092MVPs

881Hours (in match)

1,495Bombs planted

533Bombs defused

Most-used weapons

AK-4716,574

Desert Eagle7,459

M4A4 / M4A1-S5,845

AWP4,773

P2000 / USP-S3,043

Glock-181,932

Galil AR936

SSG 08852

MAC-10748

FAMAS747

Lifetime map wins

1,973dust2

1,555inferno

861vertigo

831cbble

826nuke

575train

326office

78militia

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

Faceit stats

Combat

71Matches

46%Win rate

1.21Avg K/D

94.2ADR

49%Headshot %

Clutches & streaks

46%1v1 clutch win

26%1v2 clutch win

4Longest win streak

Recent Faceit resultsWLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	11	91%	1.60	20.2
Dust2	7	86%	1.59	17.1
Inferno	4	75%	1.68	20.0
Ancient	4	0%	1.36	22.0
Nuke	3	33%	1.49	20.0
Overpass	2	50%	1.04	10.0
Anubis	1	0%	1.18	20.0

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.

26.6%Headshot accuracy

40.9%Accuracy (enemy spotted)

40.7%Spray accuracy

92.6%Counter-strafing

8.0°Preaim

592msReaction time

51.4%T opening success

58.6%CT opening success

0.53Enemies flashed / flash

7.2%Flash assists

8.99HE damage / grenade

11.63Flashes / match

Recommended for you

Spend your practice time on Dust 2

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

47% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–7	0.12	29%	17 Aug →
dust2	13–6	0.07	16%	17 Aug →
train	5–8	0.01	30%	17 Aug →
office	13–10	0.06	22%	15 Aug →
nuke	0–2	0.00	0%	8 Aug →
mirage	13–5	0.05	33%	8 Aug →
office	13–4	0.07	47%	6 Aug →
vertigo	9–3	0.17	46%	25 Jul →
mirage	8–13	0.10	52%	25 Jul →
mirage	13–9	0.09	16%	1 Jul →
mirage	13–7	0.20	38%	30 Jun →
dust2	12–12	0.18	20%	30 Jun →
dust2	11–13	-0.04	31%	17 Jun →
mirage	13–8	0.01	22%	17 Jun →
vertigo	9–5	0.18	37%	15 Jun →
inferno	9–2	0.16	18%	15 Jun →
office	13–11	0.04	30%	15 Jun →
inferno	13–9	-0.00	15%	13 Jun →
inferno	5–13	0.00	0%	13 Jun →
mirage	13–11	0.06	27%	7 Jun →
ancient	5–13	-0.06	27%	6 Jun →
inferno	0–9	-0.11	0%	5 Jun →
cache	13–10	0.06	24%	4 Jun →
mirage	13–2	0.01	29%	4 Jun →
office	8–13	-0.13	38%	24 May →
dust2	6–13	-0.04	24%	23 May →
ancient	6–13	0.04	26%	16 May →
mirage	3–13	-0.08	13%	9 May →
cache	13–10	-0.03	25%	4 May →
nuke	13–10	0.06	18%	4 May →
cache	13–11	0.18	23%	2 May →
cache	13–3	0.08	33%	2 May →
cache	13–8	0.01	26%	30 Apr →
mirage	13–4	0.22	40%	28 Apr →
inferno	13–3	0.15	29%	28 Apr →
inferno	9–4	0.15	14%	26 Apr →
vertigo	9–7	0.13	27%	26 Apr →
overpass	13–4	0.06	15%	26 Apr →
ancient	13–10	0.01	24%	25 Apr →
dust2	9–13	-0.04	21%	19 Apr →
overpass	13–6	0.16	21%	19 Apr →
mirage	13–2	0.12	40%	19 Apr →
mirage	13–7	0.12	21%	19 Apr →
mirage	13–9	-0.03	25%	19 Apr →
dust2	13–5	0.01	31%	18 Apr →
mirage	13–2	0.11	48%	18 Apr →
vertigo	9–0	0.09	19%	18 Apr →
inferno	9–2	0.18	46%	18 Apr →
inferno	9–1	0.38	31%	18 Apr →
nuke	9–4	0.11	22%	18 Apr →
nuke	9–0	0.26	21%	18 Apr →
ancient	13–2	0.09	22%	17 Apr →
dust2	15–15	0.10	16%	17 Apr →
dust2	13–7	0.07	24%	17 Apr →
ancient	13–6	0.13	22%	17 Apr →
nuke	11–13	-0.01	44%	17 Apr →
dust2	1–10	-0.11	42%	12 Apr →
mirage	13–8	0.02	18%	8 Apr →
office	12–12	0.06	16%	8 Apr →
mirage	5–12	0.00	39%	8 Apr →
mirage	13–3	0.05	19%	7 Apr →
vertigo	13–4	0.12	22%	7 Apr →
overpass	2–13	0.06	34%	7 Apr →
mirage	13–6	0.14	36%	7 Apr →
mirage	2–8	-0.04	27%	6 Apr →
inferno	9–4	0.11	19%	5 Apr →
ancient	13–8	0.04	23%	5 Apr →
dust2	5–13	-0.01	22%	5 Apr →
mirage	7–13	-0.06	27%	4 Apr →
mirage	13–1	0.08	23%	4 Apr →
office	10–13	0.04	42%	4 Apr →
nuke	7–13	0.07	14%	4 Apr →
anubis	13–8	0.04	22%	4 Apr →
vertigo	13–5	0.02	24%	4 Apr →
mirage	13–5	0.08	28%	4 Apr →
office	13–5	0.04	48%	4 Apr →
mirage	13–4	0.01	28%	3 Apr →
office	13–7	-0.04	20%	3 Apr →
ancient	13–1	-0.04	8%	2 Apr →
mirage	4–13	-0.06	32%	2 Apr →
overpass	13–7	0.03	13%	2 Apr →
mirage	16–13	0.11	27%	1 Apr →
dust2	13–5	0.03	23%	1 Apr →
mirage	15–15	0.03	27%	1 Apr →
inferno	8–13	-0.02	34%	31 Mar →
mirage	13–11	0.00	18%	31 Mar →
ancient	2–13	-0.09	31%	31 Mar →
dust2	13–1	0.01	22%	31 Mar →
mirage	13–4	0.07	40%	31 Mar →
mirage	13–5	0.12	33%	30 Mar →
nuke	13–9	0.02	20%	30 Mar →
dust2	13–5	0.05	27%	30 Mar →
ancient	13–3	0.18	44%	28 Mar →
overpass	15–15	-0.01	23%	28 Mar →
dust2	13–11	0.06	18%	27 Mar →
dust2	13–5	0.09	27%	26 Mar →
dust2	10–13	-0.02	32%	25 Mar →
inferno	13–9	0.02	20%	24 Mar →
mirage	13–3	0.04	27%	24 Mar →
dust2	8–13	0.05	24%	24 Mar →