s0meth1ng — CS2 Stats

AQ76561198085964353[U:1:125698625]Steam profile ↗

1,756Tracked matches46%Win rate2020Tracked since

CSDB Rating5.7 SolidHybrid Rifler

FaceitLevel 8Top 31.2% of ranked FACEIT players

WingmanMaster Guardian II

Ladder ranks via Leetify

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Performance scores

Aim66

Positioning56

Utility67

0–100 skill scores via Leetify.

Recent form

STEADY48–43–9Last 10048%Win rateWLWWLLWLLW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.6

Aggression6.8

Utility6.7

Positioning5.6

Opening Duels2.9

Clutch3.0

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 Twistzz 91% playstyle similarity

Most alike: positioning profile, 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

Flashes. 0.81 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 56% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 611ms 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

Aim6.6

Positioning5.6

Utility6.7

Mechanics5.7

Opening Duels3.3

Win Impact3.8

Composite 5.7/10 (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 rating0.01+0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time620ms−10ms

first ⅓ avg 630ms → last ⅓ avg 620ms

Headshot accuracy20.5%+1.5%

first ⅓ avg 19.0% → last ⅓ avg 20.5%

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

0.25Best rating — dust2 13–2

13–1Biggest win — cache

8Longest win streak

7–4In matches decided by ≤2 rounds

2Overtime games

Map breakdown

nukeBest map · 60% over 15ancientWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
cache	C	26	11–15	42%	0.00
dust2	B	23	12–11	52%	0.03
mirage	B	17	9–8	53%	0.02
nuke	A	15	9–6	60%	0.00
inferno	C	10	4–6	40%	-0.00
ancient	D	6	2–4	33%	-0.01
anubis	—	2	1–1	50%	0.05
train	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

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

Faceit stats

Combat

93Matches

65%Win rate

1.21Avg K/D

90.8ADR

38%Headshot %

Clutches & streaks

35%1v1 clutch win

18%1v2 clutch win

15Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	15	87%	1.22	16.6
Mirage	13	54%	1.30	17.4
Ancient	12	42%	1.04	17.8
Anubis	11	82%	1.40	17.0
Vertigo	5	60%	1.45	15.6
Dust2	3	100%	1.37	19.0
Nuke	1	100%	0.79	11.0

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.

19.1%Headshot accuracy

33.9%Accuracy (enemy spotted)

35.9%Spray accuracy

75.7%Counter-strafing

9.4°Preaim

611msReaction time

26.9%T opening success

56.1%CT opening success

0.81Enemies flashed / flash

5.5%Flash assists

7.35HE damage / grenade

10.34Flashes / 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
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 26.8941% — below the 40% mark we flag

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.

33% win rate across 6 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	13–9	-0.02	14%	28 Jul →
mirage	10–13	-0.00	20%	28 Jul →
ancient	13–8	0.02	13%	17 Jul →
dust2	16–13	0.02	20%	14 Jul →
mirage	9–13	-0.01	14%	3 Jul →
mirage	4–13	-0.04	16%	3 Jul →
dust2	13–3	0.02	10%	25 Jun →
dust2	10–13	0.05	21%	25 Jun →
inferno	9–13	0.01	21%	25 Jun →
mirage	13–8	0.06	9%	24 Jun →
ancient	7–13	-0.01	11%	24 Jun →
dust2	0–10	-0.03	33%	24 Jun →
nuke	12–16	-0.03	25%	23 Jun →
nuke	13–7	0.04	18%	22 Jun →
nuke	13–7	-0.02	18%	22 Jun →
ancient	5–13	-0.03	9%	22 Jun →
dust2	11–13	0.01	18%	22 Jun →
mirage	8–13	-0.03	14%	22 Jun →
mirage	13–11	0.04	22%	21 Jun →
nuke	13–9	-0.01	13%	20 Jun →
dust2	13–11	-0.02	18%	20 Jun →
cache	4–13	0.03	22%	20 Jun →
dust2	9–13	0.00	8%	20 Jun →
mirage	13–8	0.01	27%	18 Jun →
dust2	0–6	-0.07	43%	18 Jun →
mirage	13–7	0.12	16%	18 Jun →
dust2	13–2	0.25	22%	18 Jun →
cache	7–13	-0.01	12%	17 Jun →
mirage	12–12	0.01	56%	16 Jun →
mirage	12–12	0.04	27%	16 Jun →
mirage	13–11	0.01	23%	16 Jun →
mirage	3–13	-0.04	33%	2 Jun →
cache	8–13	-0.01	32%	2 Jun →
cache	13–10	0.06	24%	2 Jun →
mirage	13–3	0.00	22%	2 Jun →
cache	13–1	0.11	14%	1 Jun →
nuke	13–11	0.07	21%	1 Jun →
mirage	13–7	-0.03	19%	1 Jun →
inferno	13–9	-0.03	28%	1 Jun →
mirage	13–7	0.12	22%	1 Jun →
nuke	13–11	0.07	22%	1 Jun →
cache	8–13	-0.03	23%	1 Jun →
cache	13–11	-0.02	25%	1 Jun →
cache	9–13	0.01	21%	22 May →
cache	2–9	-0.05	38%	22 May →
cache	6–13	-0.01	36%	22 May →
cache	13–6	0.05	33%	22 May →
cache	13–8	0.03	30%	22 May →
cache	13–2	0.12	22%	22 May →
cache	13–10	-0.01	17%	21 May →
cache	11–13	-0.04	21%	21 May →
cache	5–13	-0.03	17%	18 May →
cache	13–10	-0.07	19%	18 May →
cache	12–12	0.01	11%	15 May →
cache	3–13	-0.06	32%	15 May →
cache	9–13	-0.04	10%	15 May →
cache	13–8	0.02	21%	15 May →
cache	7–13	-0.05	19%	15 May →
cache	5–13	0.03	22%	14 May →
cache	8–13	-0.05	19%	14 May →
cache	13–6	-0.00	25%	13 May →
cache	13–3	0.04	32%	13 May →
inferno	13–8	0.08	20%	30 Jan →
dust2	13–11	0.06	24%	30 Jan →
dust2	6–13	0.06	19%	25 Jan →
inferno	13–3	0.04	21%	25 Jan →
nuke	12–12	0.00	8%	9 Jan →
dust2	9–13	0.02	12%	9 Jan →
dust2	13–6	-0.02	6%	9 Jan →
inferno	5–13	-0.08	29%	8 Jan →
nuke	13–10	-0.04	14%	8 Jan →
dust2	13–5	0.03	15%	24 Dec →
nuke	13–5	-0.05	26%	24 Dec →
mirage	13–10	0.07	20%	24 Dec →
dust2	9–13	-0.01	18%	24 Dec →
inferno	11–13	-0.06	20%	24 Dec →
inferno	10–13	0.05	24%	16 Dec →
ancient	8–13	-0.05	11%	16 Dec →
dust2	13–10	0.07	20%	16 Dec →
nuke	4–13	-0.03	2%	10 Dec →
inferno	13–10	-0.01	14%	10 Dec →
anubis	13–7	0.01	21%	10 Dec →
anubis	12–12	0.09	14%	9 Dec →
nuke	12–12	-0.04	17%	9 Dec →
dust2	8–13	-0.02	16%	5 Dec →
nuke	6–13	-0.03	13%	3 Dec →
mirage	7–13	0.02	14%	3 Dec →
dust2	13–10	0.08	18%	3 Dec →
dust2	5–0	0.07	29%	3 Dec →
nuke	13–7	0.13	32%	2 Dec →
dust2	13–9	0.03	16%	2 Dec →
inferno	12–12	0.02	35%	2 Dec →
ancient	13–10	-0.03	10%	1 Dec →
dust2	13–6	0.03	20%	19 Nov →
inferno	12–12	-0.06	16%	18 Nov →
dust2	12–12	0.10	23%	18 Nov →
train	6–13	-0.01	26%	13 Nov →
ancient	11–13	0.07	15%	28 Sept →
dust2	3–13	-0.03	26%	28 Sept →
nuke	3–13	-0.01	36%	20 Aug →