yandexlavka666 — CS2 Stats

BY76561198849182318[U:1:888916590]Steam profile ↗✓ No bans

1,061Tracked matches66%Win rate2020Tracked since

CSDB Rating7.4 StrongAggressive Rifler

Premier CS Rating24,999Top 50% of 819 CSDB-tracked playersPink band · top ~3% of ranked players (population est.)

CSDB Leaderboard#3108 of 20590 tracked

FaceitLevel 10Top 12.4% of ranked FACEIT players

WingmanGold Nova Master

Ladder ranks via Leetify

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Performance scores

Aim84

Positioning61

Utility64

0–100 skill scores via Leetify.

Recent form

HOT54–40–6Last 10054%Win rateWLWTWWWWWW

Last 10 vs previous 10: +0pp win rate · -0.03 avg rating

Player DNA

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

Aim8.4

Aggression8.2

Utility6.4

Positioning6.1

Opening Duels4.0

Clutch3.0

Strong 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 b1t 94% playstyle similarity

Most alike: opening-fight frequency, positioning 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. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 62% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 580ms 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

Aim8.4

Positioning6.1

Utility6.4

Mechanics8.0

Opening Duels4.0

Win Impact10.0

Composite 7.4/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time596ms−64ms

first ⅓ avg 660ms → last ⅓ avg 596ms

Headshot accuracy24.3%+1.5%

first ⅓ avg 22.8% → last ⅓ avg 24.3%

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

0.15Best rating — nuke 13–5

13–0Biggest win — dust2

11Longest win streak

6–6In matches decided by ≤2 rounds

15Overtime games

Map breakdown

ancientBest map · 80% over 5mirageWeakest map · 42% over 31

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	37	22–15	59%	0.02
mirage	C	31	13–18	42%	0.01
cache	A	12	7–5	58%	0.02
inferno	S	9	6–3	67%	0.04
ancient	S	5	4–1	80%	0.01
nuke	—	4	2–2	50%	0.02
overpass	—	1	0–1	0%	-0.03
anubis	—	1	0–1	0%	-0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (42% over 31). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

682Matches

53%Win rate

1.25Avg K/D

84.4ADR

46%Headshot %

Clutches & streaks

35%1v1 clutch win

24%1v2 clutch win

7Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	78	58%	1.40	16.4
Mirage	68	57%	1.15	17.2
Ancient	44	50%	1.14	16.8
Inferno	16	50%	1.23	17.9
Nuke	15	40%	1.11	16.9
Anubis	8	50%	1.01	14.8
Overpass	7	43%	0.98	16.0
Cache	1	0%	0.88	14.0

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.

23.5%Headshot accuracy

33.5%Accuracy (enemy spotted)

37.8%Spray accuracy

85.9%Counter-strafing

7.4°Preaim

580msReaction time

29.9%T opening success

62.2%CT opening success

0.70Enemies flashed / flash

5.9%Flash assists

8.36HE damage / grenade

10.54Flashes / 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 29.9434% — below the 40% mark we flag

Spend your practice time on Mirage

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

42% win rate across 31 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–6	-0.03	27%	26 Aug →
overpass	9–13	-0.03	6%	24 Aug →
inferno	13–6	0.06	30%	22 Aug →
mirage	12–12	0.01	29%	22 Aug →
ancient	16–14	0.02	9%	22 Aug →
dust2	13–3	0.03	35%	22 Aug →
mirage	13–9	-0.02	18%	22 Aug →
ancient	13–3	0.12	26%	22 Aug →
mirage	16–13	0.00	20%	16 Aug →
cache	13–6	0.04	19%	16 Aug →
dust2	13–0	0.07	31%	16 Aug →
mirage	13–2	0.15	21%	16 Aug →
dust2	16–14	0.01	24%	14 Aug →
mirage	13–1	0.03	28%	7 Aug →
mirage	13–2	0.10	13%	5 Aug →
dust2	10–13	0.05	36%	2 Aug →
mirage	13–4	0.03	32%	2 Aug →
cache	13–2	0.10	34%	2 Aug →
mirage	6–13	-0.02	36%	2 Aug →
cache	13–7	-0.02	15%	2 Aug →
mirage	6–13	-0.02	12%	2 Aug →
dust2	13–7	0.03	19%	2 Aug →
dust2	6–13	-0.08	29%	2 Aug →
cache	14–16	0.01	24%	2 Aug →
mirage	11–13	-0.01	18%	2 Aug →
dust2	13–4	0.08	30%	2 Aug →
dust2	16–12	-0.02	34%	1 Aug →
mirage	4–13	-0.05	35%	1 Aug →
inferno	13–16	-0.03	12%	31 Jul →
dust2	9–13	-0.02	23%	31 Jul →
mirage	13–6	0.07	33%	31 Jul →
cache	13–3	0.07	22%	29 Jul →
mirage	3–13	-0.07	22%	29 Jul →
dust2	5–13	-0.05	34%	29 Jul →
dust2	2–13	-0.02	13%	27 Jul →
inferno	13–10	0.00	13%	27 Jul →
cache	15–15	-0.03	16%	26 Jul →
dust2	13–9	-0.00	29%	26 Jul →
mirage	15–15	0.00	24%	26 Jul →
inferno	16–13	0.02	37%	26 Jul →
mirage	13–2	0.07	25%	26 Jul →
cache	15–15	0.00	13%	26 Jul →
inferno	13–7	0.04	22%	26 Jul →
dust2	13–11	0.11	30%	26 Jul →
dust2	13–3	0.11	31%	26 Jul →
mirage	13–7	-0.00	13%	26 Jul →
mirage	11–13	-0.01	30%	26 Jul →
dust2	13–11	-0.02	31%	25 Jul →
dust2	13–10	-0.04	31%	25 Jul →
cache	13–4	0.11	24%	24 Jul →
mirage	10–13	-0.01	21%	24 Jul →
ancient	13–6	-0.01	22%	24 Jul →
mirage	6–13	-0.06	33%	24 Jul →
dust2	5–13	-0.00	27%	24 Jul →
mirage	4–13	-0.06	24%	24 Jul →
mirage	9–12	-0.03	11%	23 Jul →
dust2	14–16	0.05	30%	22 Jul →
mirage	8–13	0.01	15%	22 Jul →
nuke	11–13	-0.03	8%	22 Jul →
dust2	13–11	0.11	20%	21 Jul →
anubis	15–15	-0.04	12%	21 Jul →
mirage	4–13	0.12	20%	20 Jul →
mirage	15–15	0.01	21%	20 Jul →
dust2	13–10	0.07	22%	20 Jul →
inferno	13–1	0.09	24%	20 Jul →
nuke	3–13	-0.04	22%	20 Jul →
ancient	13–7	-0.06	13%	20 Jul →
mirage	2–6	-0.03	22%	20 Jul →
dust2	1–13	-0.01	22%	19 Jul →
dust2	13–7	0.08	22%	19 Jul →
dust2	13–9	0.07	27%	19 Jul →
cache	13–11	0.05	16%	19 Jul →
dust2	8–13	0.05	16%	19 Jul →
mirage	9–13	-0.01	23%	19 Jul →
dust2	13–7	0.06	28%	19 Jul →
nuke	13–5	0.15	20%	18 Jul →
inferno	11–13	0.01	21%	18 Jul →
dust2	12–16	-0.02	17%	17 Jul →
dust2	13–7	-0.02	23%	17 Jul →
dust2	13–8	0.04	23%	15 Jul →
mirage	13–6	0.02	17%	15 Jul →
inferno	7–13	0.04	19%	15 Jul →
mirage	16–12	0.00	21%	12 Jul →
dust2	13–7	0.04	15%	12 Jul →
cache	5–13	-0.04	17%	12 Jul →
dust2	2–13	-0.02	21%	12 Jul →
mirage	13–6	-0.01	22%	11 Jul →
nuke	13–7	-0.00	17%	11 Jul →
dust2	4–13	-0.01	38%	11 Jul →
cache	13–5	0.03	19%	11 Jul →
ancient	0–13	-0.02	33%	8 Jul →
dust2	5–13	-0.01	28%	8 Jul →
dust2	8–13	0.03	23%	5 Jul →
cache	1–13	-0.03	23%	5 Jul →
dust2	5–13	0.07	29%	5 Jul →
mirage	13–3	0.03	30%	3 Jul →
inferno	9–5	0.13	32%	2 Jul →
dust2	13–8	0.06	20%	28 Jun →
dust2	13–6	-0.06	30%	26 Jun →
mirage	7–13	0.02	20%	26 Jun →