the special tingle in ur taint — CS2 Stats

76561198049003175[U:1:88737447]Steam profile ↗✓ No bans

1,576Tracked matches53%Win rate2020Tracked since

CSDB Rating6.9 SolidAggressive Rifler

Premier CS Rating19,652Purple band · top ~9.9% of ranked players (population est.)

CSDB Leaderboard#9306 of 20300 tracked

FaceitLevel 9 · 1,466 ELOTop 20.7% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

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Performance scores

Aim88

Positioning61

Utility46

0–100 skill scores via Leetify.

Recent form

STEADY48–51–1Last 10048%Win rateWLLTLWWLWW

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

Player DNA

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

Aim8.8

Aggression10.0

Utility4.6

Positioning6.1

Opening Duels5.8

Clutch3.0

Sharp aimerStrong CT-side opener

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 utility contribution.

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 88 — the mechanical foundation is a clear strength.

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

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

T-side openings. Opening success drops from 62% on CT to 45% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 575ms 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

Aim8.8

Positioning6.1

Utility4.6

Mechanics7.7

Opening Duels5.8

Win Impact6.1

Composite 6.9/10 (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 0.01 → last ⅓ avg 0.02

Reaction time567ms−54ms

first ⅓ avg 621ms → last ⅓ avg 567ms

Headshot accuracy31.2%+7.7%

first ⅓ avg 23.5% → last ⅓ avg 31.2%

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

0.18Best rating — dust2 13–10

13–0Biggest win — inferno

4Longest win streak

5–9In matches decided by ≤2 rounds

12Overtime games

Map breakdown

infernoBest map · 57% over 14anubisWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	36	18–18	50%	0.01
dust2	C	17	6–11	35%	0.01
inferno	A	14	8–6	57%	0.03
anubis	D	9	3–6	33%	0.02
nuke	C	9	4–5	44%	0.01
ancient	C	9	4–5	44%	0.00
cache	—	4	3–1	75%	-0.01
overpass	—	2	2–0	100%	0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

591Matches

53%Win rate

1.13Avg K/D

78.1ADR

60%Headshot %

Clutches & streaks

35%1v1 clutch win

21%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	166	58%	1.12	16.1
Dust2	105	46%	1.14	16.8
Ancient	78	46%	0.99	16.5
Inferno	73	52%	1.06	14.7
Anubis	72	54%	1.04	15.6
Nuke	35	57%	1.19	16.1
Train	16	56%	1.05	15.7
Cache	12	67%	1.39	22.1

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.

30.7%Headshot accuracy

32.6%Accuracy (enemy spotted)

35.1%Spray accuracy

84.8%Counter-strafing

7.3°Preaim

575msReaction time

44.9%T opening success

61.6%CT opening success

0.53Enemies flashed / flash

1.3%Flash assists

7.87HE damage / grenade

7.82Flashes / match

Recommended for you

Spend your practice time on Anubis

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–10	0.18	47%	28 Aug →
anubis	6–13	-0.04	32%	25 Aug →
inferno	6–9	-0.02	36%	23 Aug →
inferno	8–8	0.01	50%	23 Aug →
dust2	4–13	-0.07	24%	22 Aug →
dust2	13–11	0.06	42%	22 Aug →
dust2	16–13	-0.00	24%	19 Aug →
cache	11–13	-0.04	31%	18 Aug →
mirage	13–7	0.03	30%	18 Aug →
cache	16–12	-0.04	37%	15 Aug →
anubis	9–13	-0.00	30%	15 Aug →
nuke	1–13	-0.08	18%	15 Aug →
nuke	13–7	0.14	27%	15 Aug →
mirage	7–13	-0.04	26%	15 Aug →
mirage	13–6	0.03	32%	13 Aug →
ancient	13–10	-0.02	16%	12 Aug →
ancient	13–8	0.02	26%	12 Aug →
mirage	8–13	-0.06	24%	12 Aug →
nuke	11–13	0.07	38%	9 Aug →
mirage	0–11	-0.03	40%	9 Aug →
mirage	13–7	0.02	35%	9 Aug →
cache	19–17	-0.02	32%	9 Aug →
mirage	7–13	0.00	34%	8 Aug →
dust2	10–13	0.02	42%	8 Aug →
anubis	13–7	0.06	28%	8 Aug →
dust2	13–5	0.03	20%	8 Aug →
mirage	13–1	0.05	17%	6 Aug →
anubis	6–13	0.03	17%	6 Aug →
anubis	13–2	0.18	42%	5 Aug →
inferno	13–10	0.06	41%	5 Aug →
anubis	10–13	0.02	17%	4 Aug →
dust2	2–13	0.10	48%	3 Aug →
mirage	3–13	-0.06	26%	3 Aug →
mirage	13–7	0.05	36%	2 Aug →
ancient	7–13	0.04	31%	2 Aug →
mirage	7–13	-0.01	23%	2 Aug →
inferno	13–7	0.05	25%	2 Aug →
mirage	10–13	-0.04	23%	2 Aug →
mirage	9–1	0.06	20%	2 Aug →
mirage	13–5	-0.00	21%	1 Aug →
mirage	6–13	-0.07	36%	31 Jul →
anubis	13–7	-0.03	30%	30 Jul →
ancient	5–13	-0.05	32%	29 Jul →
dust2	9–13	-0.05	33%	29 Jul →
inferno	13–4	0.14	31%	29 Jul →
mirage	13–10	0.09	26%	28 Jul →
dust2	13–6	0.05	31%	27 Jul →
mirage	13–6	0.06	38%	27 Jul →
mirage	11–13	-0.03	39%	26 Jul →
nuke	9–13	0.02	33%	25 Jul →
mirage	13–16	-0.03	32%	25 Jul →
mirage	5–13	-0.04	37%	25 Jul →
ancient	11–13	-0.05	11%	25 Jul →
dust2	11–13	-0.03	20%	25 Jul →
nuke	13–6	-0.02	26%	24 Jul →
dust2	13–7	-0.02	12%	24 Jul →
nuke	6–13	-0.05	26%	23 Jul →
inferno	13–16	0.03	38%	22 Jul →
mirage	13–10	0.05	28%	16 Jul →
ancient	25–21	0.01	22%	15 Jul →
mirage	10–13	0.06	34%	15 Jul →
cache	13–6	0.05	26%	13 Jul →
mirage	13–4	0.01	30%	13 Jul →
inferno	13–7	0.06	38%	11 Jul →
dust2	8–13	-0.00	27%	11 Jul →
mirage	13–9	0.03	30%	8 Jul →
ancient	13–16	-0.01	19%	3 Jul →
inferno	13–6	0.00	0%	2 Jul →
overpass	16–13	-0.01	25%	28 Jun →
dust2	5–13	-0.02	25%	22 Jun →
mirage	11–13	0.01	19%	21 Jun →
nuke	13–11	0.04	21%	21 Jun →
dust2	8–13	0.01	21%	20 Jun →
anubis	4–13	-0.03	18%	7 Jun →
ancient	7–13	0.05	13%	7 Jun →
overpass	13–7	0.05	33%	7 Jun →
nuke	13–10	-0.03	15%	7 Jun →
dust2	7–13	-0.04	31%	30 May →
mirage	13–8	0.05	24%	30 May →
inferno	8–13	-0.02	15%	30 May →
mirage	13–11	0.03	26%	29 May →
anubis	13–16	-0.01	19%	29 May →
inferno	13–9	0.01	25%	29 May →
mirage	11–13	0.07	33%	29 May →
mirage	16–14	0.04	15%	28 May →
inferno	8–13	-0.06	50%	27 May →
mirage	12–16	0.02	19%	27 May →
dust2	7–13	-0.03	33%	26 May →
mirage	13–9	-0.02	34%	25 May →
mirage	10–13	0.03	20%	25 May →
mirage	10–13	0.05	41%	25 May →
mirage	13–10	-0.02	12%	25 May →
inferno	2–13	-0.01	19%	24 May →
ancient	13–9	0.02	16%	23 May →
nuke	3–13	0.03	25%	23 May →
mirage	8–5	0.02	30%	22 May →
inferno	13–2	0.05	24%	21 May →
inferno	13–0	0.09	30%	21 May →
mirage	11–13	0.01	25%	17 May →
dust2	14–16	0.03	18%	17 May →