yamchuk — CS2 Stats

76561199629275152[U:1:1669009424]✓ No bans

2,176Tracked matches50%Win rate2024Tracked since

CSDB Rating6.4 SolidAggressive Rifler

FaceitLevel 10 · 1,718 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim83

Positioning77

Utility48

0–100 skill scores via Leetify.

Recent form

STEADY47–53Last 10047%Win rateLLWLWLLWLW

Last 10 vs previous 10: +0pp win rate · +0.00 avg rating

Player DNA

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

Aim8.3

Aggression9.7

Utility4.8

Positioning7.7

Opening Duels5.6

Clutch3.4

Strong CT-side openerLimited utility dependence

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 donk 91% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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. 65% 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 65% on CT to 40% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.3

Positioning7.7

Utility4.8

Mechanics5.9

Opening Duels5.6

Win Impact5.0

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.02

first ⅓ avg 0.01 → last ⅓ avg 0.03

Reaction time506ms−45ms

first ⅓ avg 551ms → last ⅓ avg 506ms

Headshot accuracy18.8%+1.8%

first ⅓ avg 17.0% → last ⅓ avg 18.8%

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

0.16Best rating — ancient 13–3

13–1Biggest win — mirage

5Longest win streak

L2Current streak

9–9In matches decided by ≤2 rounds

14Overtime games

Map breakdown

infernoBest map · 56% over 9nukeWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	36	16–20	44%	0.02
ancient	B	24	13–11	54%	0.03
nuke	D	9	2–7	22%	-0.01
inferno	A	9	5–4	56%	0.03
anubis	A	9	5–4	56%	-0.01
dust2	B	8	4–4	50%	0.01
cache	—	2	1–1	50%	0.01
vertigo	—	2	1–1	50%	0.03
overpass	—	1	0–1	0%	-0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,315Matches

49%Win rate

1.17Avg K/D

87.6ADR

48%Headshot %

Clutches & streaks

37%1v1 clutch win

25%1v2 clutch win

11Longest win streak

Recent Faceit resultsLWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	879	49%	1.20	17.8
Dust2	290	46%	1.15	17.4
Ancient	286	50%	1.18	17.4
Nuke	245	49%	1.18	18.1
Inferno	236	54%	1.20	17.9
Anubis	170	49%	1.10	16.3
Vertigo	128	51%	1.04	16.8
Overpass	41	37%	0.94	16.0

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.

19.0%Headshot accuracy

38.5%Accuracy (enemy spotted)

39.1%Spray accuracy

76.5%Counter-strafing

9.0°Preaim

500msReaction time

39.6%T opening success

65.0%CT opening success

0.65Enemies flashed / flash

7.7%Flash assists

7.91HE damage / grenade

4.61Flashes / 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 39.5561% — below the 40% mark we flag

Spend your practice time on Nuke

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	9–13	-0.03	9%	25 Aug →
mirage	6–13	-0.02	8%	24 Aug →
mirage	13–5	0.10	21%	22 Aug →
nuke	14–16	0.07	18%	17 Aug →
dust2	13–7	0.10	17%	17 Aug →
vertigo	7–13	0.02	8%	14 Aug →
ancient	14–16	0.07	15%	13 Aug →
vertigo	13–10	0.03	18%	13 Aug →
mirage	2–13	0.01	29%	11 Aug →
cache	13–9	0.06	13%	11 Aug →
inferno	13–11	0.07	27%	10 Aug →
anubis	13–11	-0.01	12%	6 Aug →
ancient	7–13	0.04	27%	5 Aug →
nuke	11–13	0.02	18%	3 Aug →
ancient	8–13	0.10	25%	1 Aug →
anubis	8–13	0.10	22%	30 Jul →
mirage	13–7	0.06	20%	28 Jul →
mirage	13–10	-0.00	26%	28 Jul →
ancient	6–13	0.00	14%	27 Jul →
inferno	11–13	-0.01	15%	24 Jul →
anubis	13–8	-0.05	16%	24 Jul →
anubis	13–10	-0.05	21%	22 Jul →
mirage	3–13	-0.02	25%	20 Jul →
mirage	17–19	0.04	20%	20 Jul →
dust2	13–7	0.01	22%	15 Jul →
ancient	13–9	0.02	35%	15 Jul →
mirage	13–1	0.05	23%	14 Jul →
anubis	13–6	0.04	24%	12 Jul →
ancient	13–3	0.16	13%	12 Jul →
mirage	7–13	0.06	14%	9 Jul →
ancient	13–11	0.04	23%	9 Jul →
inferno	7–13	0.02	13%	5 Jul →
nuke	4–13	-0.01	11%	2 Jul →
ancient	7–13	0.00	6%	28 Jun →
mirage	10–13	-0.04	28%	27 Jun →
ancient	6–13	0.01	29%	26 Jun →
inferno	13–11	0.00	16%	20 Jun →
mirage	13–6	0.03	30%	11 Jun →
ancient	19–15	0.04	13%	10 Jun →
mirage	9–13	-0.01	18%	10 Jun →
ancient	13–9	0.07	24%	9 Jun →
mirage	13–11	-0.03	7%	1 Jun →
nuke	12–16	-0.05	21%	26 May →
nuke	4–13	0.03	28%	23 May →
mirage	6–13	-0.05	22%	17 May →
inferno	13–9	0.03	25%	15 May →
dust2	13–5	0.03	39%	14 May →
mirage	6–13	-0.03	28%	13 May →
ancient	4–13	-0.05	14%	6 May →
dust2	16–13	-0.03	23%	5 May →
ancient	7–13	0.04	20%	5 May →
ancient	16–14	-0.01	18%	3 May →
mirage	13–7	0.05	29%	2 May →
dust2	3–13	0.01	21%	23 Apr →
mirage	10–13	0.06	24%	23 Apr →
mirage	11–13	0.02	20%	20 Apr →
mirage	13–9	-0.02	15%	16 Apr →
ancient	13–10	-0.05	15%	14 Apr →
mirage	13–8	0.12	35%	14 Apr →
nuke	16–13	-0.01	26%	12 Apr →
nuke	10–13	-0.03	13%	12 Apr →
ancient	13–9	-0.02	12%	7 Apr →
anubis	14–16	-0.00	23%	5 Apr →
ancient	13–10	0.01	8%	4 Apr →
mirage	9–13	0.07	14%	4 Apr →
mirage	5–13	-0.02	21%	4 Apr →
mirage	13–9	-0.00	20%	3 Apr →
inferno	13–6	0.04	25%	1 Apr →
overpass	9–13	-0.04	11%	1 Apr →
ancient	13–11	-0.03	9%	30 Mar →
ancient	19–16	0.05	15%	28 Mar →
mirage	13–6	0.10	19%	28 Mar →
nuke	13–8	0.00	16%	26 Mar →
mirage	13–11	-0.06	14%	20 Mar →
ancient	6–13	-0.04	6%	20 Mar →
mirage	0–11	-0.04	21%	20 Mar →
dust2	7–13	-0.00	15%	19 Mar →
ancient	13–7	0.09	18%	19 Mar →
anubis	13–9	-0.05	19%	16 Mar →
inferno	10–13	0.16	15%	15 Mar →
mirage	10–13	0.07	18%	15 Mar →
inferno	13–9	-0.04	23%	14 Mar →
mirage	13–6	0.03	19%	7 Mar →
anubis	2–13	-0.05	12%	5 Mar →
mirage	2–13	-0.00	18%	4 Mar →
mirage	10–13	0.01	16%	3 Mar →
nuke	2–13	-0.09	13%	2 Mar →
anubis	9–13	0.01	13%	2 Mar →
mirage	13–4	0.03	13%	28 Feb →
mirage	13–11	-0.00	39%	27 Feb →
ancient	9–13	0.08	21%	26 Feb →
ancient	4–13	-0.00	17%	26 Feb →
inferno	12–16	-0.05	14%	25 Feb →
mirage	14–16	0.02	18%	25 Feb →
ancient	13–7	0.00	17%	23 Feb →
mirage	8–13	0.03	10%	23 Feb →
mirage	19–15	0.07	15%	21 Feb →
mirage	13–16	0.00	9%	20 Feb →
dust2	11–13	-0.02	21%	19 Feb →
dust2	5–13	0.00	33%	16 Feb →