That Part — CS2 Stats

CA76561198107234761[U:1:146969033]Steam profile ↗✓ No bans

1,186Tracked matches50%Win rate2020Tracked since

4,761Hours in CS11Hrs last 2 wks

CSDB Rating6.4 SolidAggressive Rifler

Premier CS Rating16,711Purple band · top ~21.6% of ranked players (population est.)

CSDB Leaderboard#10728 of 18216 tracked

FaceitLevel 3Top 90.6% of ranked FACEIT players

WingmanDistinguished Master Guardian

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

Aim72

Positioning65

Utility69

0–100 skill scores via Leetify.

Recent form

COLD48–49–3Last 10048%Win rateLLLWWLWLLL

Last 10 vs previous 10: -40pp win rate · -0.06 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.2

Aggression10.0

Utility6.9

Positioning6.5

Opening Duels5.3

Strong CT-side openerEffective flashes

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 sh1ro 91% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: 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

Strengths

CT openings. 60% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Flashes. 0.85 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 60% on CT to 42% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 571ms 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

Aim7.2

Positioning6.5

Utility6.9

Mechanics6.1

Opening Duels5.3

Win Impact5.0

Composite 6.4/10 (Solid), 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 rating0.02−0.01

first ⅓ avg 0.03 → last ⅓ avg 0.02

Reaction time570ms−68ms

first ⅓ avg 638ms → last ⅓ avg 570ms

Headshot accuracy15.7%+0.2%

first ⅓ avg 15.6% → 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

0.30Best rating — dust2 6–0

13–1Biggest win — mirage

5Longest win streak

L3Current streak

12–3In matches decided by ≤2 rounds

17Overtime games

Map breakdown

anubisBest map · 67% over 6infernoWeakest map · 13% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	29	13–16	45%	0.03
nuke	B	27	14–13	52%	0.03
mirage	S	20	13–7	65%	0.03
inferno	D	8	1–7	13%	0.00
anubis	S	6	4–2	67%	-0.00
cache	—	4	2–2	50%	-0.00
overpass	—	4	1–3	25%	0.01
ancient	—	1	0–1	0%	-0.01
sanctum	—	1	0–1	0%	0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

157,916Lifetime kills

1.09K/D · Top 50% of tracked players

6,614Matches

40.1%Match win rate

44.1%Headshot %

18.6%Shot accuracy · Top 10% of tracked players

16,912MVPs

2,593Hours (in match)

4,779Bombs planted

1,460Bombs defused

Most-used weapons

AK-4742,323

AWP22,045

M4A4 / M4A1-S21,503

P2000 / USP-S10,770

Desert Eagle10,276

Glock-187,323

P2505,359

Tec-93,378

MAC-102,983

SSG 082,882

Lifetime map wins

16,610dust2

7,851inferno

6,134nuke

1,111train

915vertigo

520cbble

325office

63lake

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

Faceit stats

Combat

97Matches

55%Win rate

1.32Avg K/D

—ADR

35%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

5Longest win streak

Recent Faceit resultsWLWLL

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.

15.9%Headshot accuracy

37.0%Accuracy (enemy spotted)

40.0%Spray accuracy

77.4%Counter-strafing

9.9°Preaim

571msReaction time

42.3%T opening success

60.2%CT opening success

0.85Enemies flashed / flash

11.6%Flash assists

14.00HE damage / grenade

13.61Flashes / match

Recommended for you

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.

13% win rate across 8 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
dust2	13–16	-0.04	22%	28 Aug →
dust2	11–13	-0.03	11%	28 Aug →
cache	5–13	-0.06	13%	23 Aug →
nuke	16–13	0.05	14%	23 Aug →
anubis	16–14	-0.06	9%	23 Aug →
inferno	2–13	-0.03	12%	23 Aug →
dust2	13–11	0.00	19%	23 Aug →
nuke	11–13	-0.00	10%	23 Aug →
dust2	13–16	0.01	15%	15 Aug →
nuke	10–13	-0.00	9%	15 Aug →
anubis	13–11	-0.09	15%	15 Aug →
dust2	13–8	0.04	17%	10 Aug →
mirage	13–8	0.10	13%	10 Aug →
nuke	6–13	0.05	14%	7 Aug →
anubis	12–16	0.04	13%	3 Aug →
dust2	13–7	0.07	23%	3 Aug →
nuke	9–5	0.15	6%	3 Aug →
nuke	1–13	0.04	17%	3 Aug →
mirage	13–9	0.04	22%	3 Aug →
mirage	13–7	-0.03	28%	30 Jul →
mirage	13–7	0.05	14%	29 Jul →
nuke	9–13	0.02	16%	28 Jul →
mirage	5–13	0.03	20%	24 Jul →
nuke	5–13	0.02	8%	24 Jul →
mirage	16–14	0.03	9%	18 Jul →
nuke	16–14	0.04	13%	14 Jul →
mirage	13–9	0.05	16%	14 Jul →
nuke	7–13	0.02	21%	14 Jul →
dust2	10–13	0.02	16%	13 Jul →
cache	13–11	0.06	23%	13 Jul →
mirage	16–13	0.06	27%	3 Jul →
mirage	8–13	-0.00	16%	3 Jul →
dust2	8–13	0.05	17%	3 Jul →
ancient	8–13	-0.01	16%	3 Jul →
mirage	2–13	-0.04	21%	2 Jul →
dust2	13–11	-0.03	7%	2 Jul →
nuke	13–11	0.04	14%	2 Jul →
nuke	13–7	0.13	17%	2 Jul →
dust2	11–8	0.05	12%	2 Jul →
dust2	13–3	0.13	28%	2 Jul →
inferno	15–15	0.01	12%	19 Jun →
cache	13–2	-0.04	50%	5 Jun →
cache	4–13	0.02	16%	4 Jun →
nuke	13–7	0.04	10%	4 Jun →
dust2	7–13	-0.01	18%	4 Jun →
dust2	6–12	0.01	20%	2 Jun →
mirage	8–13	-0.02	18%	18 May →
nuke	13–11	0.07	14%	18 May →
inferno	9–13	-0.06	14%	16 May →
dust2	13–4	0.07	26%	16 May →
dust2	3–13	0.02	25%	16 May →
anubis	9–3	0.02	26%	20 Apr →
nuke	11–13	-0.06	6%	20 Apr →
inferno	7–13	-0.01	8%	18 Apr →
nuke	16–14	0.00	13%	18 Apr →
inferno	10–13	-0.04	16%	18 Apr →
nuke	8–13	0.01	6%	18 Apr →
dust2	13–4	0.02	14%	11 Apr →
dust2	10–13	-0.04	11%	11 Apr →
dust2	13–7	0.02	18%	10 Apr →
dust2	6–13	0.06	20%	10 Apr →
anubis	13–10	0.08	13%	10 Apr →
overpass	1–13	-0.04	21%	10 Apr →
nuke	10–13	-0.00	12%	10 Apr →
nuke	13–11	0.09	12%	7 Apr →
overpass	10–13	0.06	24%	7 Apr →
dust2	12–16	0.05	30%	7 Apr →
mirage	13–6	0.06	16%	7 Apr →
mirage	8–13	0.01	24%	7 Apr →
mirage	13–1	0.04	35%	6 Apr →
sanctum	8–8	0.07	23%	22 Mar →
nuke	9–4	0.06	18%	22 Mar →
inferno	9–2	0.14	16%	22 Mar →
dust2	13–7	-0.02	16%	22 Mar →
mirage	15–15	-0.01	15%	22 Mar →
inferno	13–16	-0.03	15%	27 Feb →
nuke	3–13	-0.06	17%	26 Feb →
mirage	13–8	0.10	25%	21 Feb →
inferno	9–13	0.04	11%	21 Feb →
nuke	8–13	-0.00	15%	21 Feb →
dust2	16–12	-0.07	11%	21 Feb →
nuke	13–8	0.00	12%	1 Feb →
nuke	13–7	0.03	14%	1 Feb →
dust2	5–13	-0.02	14%	1 Feb →
nuke	13–9	0.10	19%	1 Feb →
mirage	13–8	0.01	5%	1 Feb →
dust2	8–13	0.03	15%	1 Feb →
anubis	9–13	-0.02	7%	31 Jan →
dust2	12–16	0.09	23%	31 Jan →
dust2	6–0	0.30	10%	31 Jan →
mirage	9–13	0.05	17%	31 Jan →
mirage	13–8	0.03	10%	31 Jan →
nuke	8–13	0.01	8%	26 Jan →
dust2	13–9	0.09	11%	26 Jan →
mirage	13–11	0.04	12%	17 Jan →
dust2	4–13	-0.02	20%	17 Jan →
nuke	16–12	0.00	20%	17 Jan →
overpass	13–8	-0.02	18%	17 Jan →
overpass	13–16	0.05	12%	14 Jan →
dust2	8–13	-0.04	9%	14 Jan →