⧉Ytiev — CS2 Stats

US76561198170259974[U:1:209994246]Steam profile ↗

2,010Tracked matches39%Win rate2020Tracked since

4,316Hours in CS17Hrs last 2 wks

CSDB Rating3.7 LearningSupport

Premier CS Rating11,949Blue band · top ~44.6% of ranked players (population est.)

CSDB Leaderboard#10949 of 15402 tracked

FaceitLevel 5 · 1,166 ELOTop 67.6% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

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Performance scores

Aim38

Positioning39

Utility75

0–100 skill scores via Leetify.

Recent form

STEADY38–59–3Last 10038%Win rateLWWLWTLWWL

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

Player DNA

Primary style: Support — Utility contribution leads the profile while opening activity stays low.

Aim3.8

Aggression4.4

Utility7.5

Positioning3.9

Opening Duels0.0

Clutch2.6

Effective flashesHigh utility contribution

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 NiKo 77% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning profile; 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

Utility. Utility score of 75 — grenade impact well above the norm.

Areas to improve

Reaction time. 641ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.8

Positioning3.9

Utility7.5

Mechanics4.4

Opening Duels0.7

Win Impact1.4

Composite 3.7/10 (Learning), 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 rating-0.01+0.02

first ⅓ avg -0.02 → last ⅓ avg -0.01

Reaction time647ms−64ms

first ⅓ avg 711ms → last ⅓ avg 647ms

Headshot accuracy15.2%−1.3%

first ⅓ avg 16.5% → last ⅓ avg 15.2%

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

0.09Best rating — inferno 13–3

13–2Biggest win — dust2

4Longest win streak

7–5In matches decided by ≤2 rounds

2Overtime games

Map breakdown

dust2Best map · 47% over 19infernoWeakest map · 26% over 19

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	22	10–12	45%	-0.01
dust2	B	19	9–10	47%	-0.02
inferno	D	19	5–14	26%	-0.02
nuke	C	10	4–6	40%	-0.00
cache	D	9	3–6	33%	-0.04
ancient	D	7	2–5	29%	-0.01
anubis	—	3	2–1	67%	-0.00
train	—	3	1–2	33%	-0.03
vertigo	—	3	2–1	67%	-0.01
overpass	—	3	0–3	0%	-0.04
office	—	2	0–2	0%	-0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (26% over 19). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

124,369Lifetime kills

0.84K/D

7,038Matches

43.1%Match win rate

41.3%Headshot %

14.2%Shot accuracy · Top 50% of tracked players

13,750MVPs

3,198Hours (in match)

11,129Bombs planted

3,966Bombs defused

Most-used weapons

AK-4735,069

M4A4 / M4A1-S16,625

AWP15,665

P2000 / USP-S6,968

Desert Eagle4,769

Knife4,709

MP94,059

Glock-184,017

MAC-103,321

P2502,803

Lifetime map wins

10,338inferno

8,020dust2

4,072train

2,967nuke

2,907vertigo

1,352cbble

237office

102lake

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

Faceit stats

Combat

1,318Matches

46%Win rate

0.76Avg K/D

65.6ADR

35%Headshot %

Clutches & streaks

33%1v1 clutch win

22%1v2 clutch win

13Longest win streak

Recent Faceit resultsLWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Vertigo	25	36%	0.78	11.3
Inferno	24	42%	1.00	13.0
Anubis	21	52%	0.83	10.8
Mirage	21	48%	0.75	9.8
Dust2	13	77%	1.29	12.5
Ancient	12	67%	0.86	13.1
Nuke	10	40%	1.41	12.7
Overpass	10	70%	0.88	12.9

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.

14.6%Headshot accuracy

36.5%Accuracy (enemy spotted)

44.1%Spray accuracy

70.0%Counter-strafing

16.8°Preaim

641msReaction time

24.6%T opening success

35.3%CT opening success

0.72Enemies flashed / flash

5.9%Flash assists

12.39HE damage / grenade

16.50Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 16.8468° — above the 12° mark we flag
Aim Training →
Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.5811% — below the 15% mark we flag
Aim Training →

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.

26% win rate across 19 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
nuke	9–13	-0.05	11%	27 Aug →
dust2	13–5	-0.03	3%	27 Aug →
nuke	13–11	-0.03	9%	24 Aug →
ancient	7–13	-0.04	11%	24 Aug →
mirage	13–10	-0.00	9%	24 Aug →
ancient	12–12	-0.02	11%	23 Aug →
mirage	6–13	-0.02	13%	23 Aug →
dust2	5–3	0.05	14%	23 Aug →
inferno	9–1	0.04	15%	23 Aug →
dust2	7–13	-0.04	16%	22 Aug →
inferno	10–13	-0.10	29%	22 Aug →
mirage	13–9	0.02	17%	22 Aug →
mirage	13–7	0.05	15%	22 Aug →
inferno	7–13	-0.04	15%	21 Aug →
mirage	1–13	-0.07	18%	21 Aug →
dust2	13–10	-0.01	14%	21 Aug →
cache	12–12	-0.02	11%	19 Aug →
mirage	5–13	0.01	15%	17 Aug →
inferno	13–6	-0.00	30%	17 Aug →
dust2	3–13	0.01	16%	17 Aug →
office	6–13	-0.08	9%	17 Aug →
dust2	8–13	-0.02	15%	15 Aug →
inferno	10–13	0.01	14%	14 Aug →
nuke	9–13	-0.01	17%	14 Aug →
inferno	13–3	0.04	27%	11 Aug →
dust2	8–13	-0.02	23%	11 Aug →
inferno	6–13	-0.03	3%	10 Aug →
dust2	11–13	-0.05	10%	9 Aug →
mirage	13–5	0.01	15%	9 Aug →
ancient	4–13	0.01	15%	9 Aug →
inferno	13–3	0.09	8%	6 Aug →
ancient	13–7	0.04	10%	6 Aug →
nuke	13–10	0.08	44%	2 Aug →
dust2	11–13	-0.02	7%	2 Aug →
dust2	13–11	-0.02	13%	2 Aug →
mirage	7–13	0.05	9%	2 Aug →
dust2	13–2	0.00	15%	2 Aug →
ancient	13–9	-0.00	21%	28 Jul →
inferno	4–9	-0.07	19%	26 Jul →
cache	7–13	-0.06	27%	26 Jul →
anubis	10–13	-0.03	11%	26 Jul →
dust2	13–5	-0.04	14%	26 Jul →
dust2	13–11	0.05	10%	25 Jul →
anubis	13–8	0.01	10%	25 Jul →
mirage	13–7	-0.05	22%	22 Jul →
dust2	5–13	0.04	15%	22 Jul →
nuke	16–14	-0.01	19%	21 Jul →
inferno	10–13	-0.04	15%	20 Jul →
mirage	11–13	-0.02	9%	20 Jul →
mirage	11–13	-0.02	15%	16 Jul →
train	9–13	-0.01	18%	16 Jul →
cache	12–12	-0.03	14%	16 Jul →
vertigo	8–13	-0.05	11%	16 Jul →
mirage	9–13	-0.01	8%	13 Jul →
inferno	6–13	0.00	8%	10 Jul →
cache	13–6	-0.01	20%	9 Jul →
cache	13–8	-0.01	15%	9 Jul →
mirage	4–13	0.04	32%	8 Jul →
dust2	10–13	-0.04	8%	5 Jul →
inferno	7–13	-0.03	14%	5 Jul →
mirage	2–13	-0.13	11%	28 Jun →
mirage	5–13	-0.00	21%	28 Jun →
overpass	3–13	-0.12	14%	27 Jun →
dust2	13–7	-0.05	21%	27 Jun →
mirage	6–13	-0.04	13%	21 Jun →
nuke	4–13	-0.03	30%	21 Jun →
inferno	13–9	0.03	5%	20 Jun →
mirage	13–11	-0.02	16%	20 Jun →
inferno	4–13	-0.02	15%	20 Jun →
dust2	11–13	0.02	12%	20 Jun →
nuke	6–13	0.04	11%	12 Jun →
vertigo	13–10	-0.03	13%	6 Jun →
mirage	13–8	-0.02	12%	31 May →
cache	10–13	-0.11	12%	31 May →
cache	13–11	0.03	18%	30 May →
mirage	13–5	-0.01	21%	30 May →
anubis	13–9	0.01	12%	30 May →
inferno	7–13	-0.06	6%	30 May →
mirage	13–9	-0.05	19%	22 May →
ancient	8–13	-0.06	18%	22 May →
nuke	13–10	0.01	31%	17 May →
nuke	8–13	-0.01	4%	17 May →
dust2	16–12	-0.03	11%	10 May →
cache	3–13	-0.07	8%	30 Apr →
cache	9–13	-0.04	12%	30 Apr →
inferno	10–13	0.01	18%	26 Apr →
nuke	6–13	-0.03	19%	24 Apr →
train	13–10	0.01	10%	24 Apr →
ancient	3–13	0.01	19%	19 Apr →
inferno	7–13	-0.10	11%	19 Apr →
inferno	1–8	-0.05	19%	19 Apr →
dust2	1–13	-0.08	15%	18 Apr →
mirage	8–13	-0.04	20%	18 Apr →
train	3–13	-0.08	14%	17 Apr →
overpass	7–13	-0.02	12%	17 Apr →
vertigo	13–4	0.05	16%	11 Apr →
office	2–13	-0.03	30%	11 Apr →
overpass	8–13	0.03	17%	11 Apr →
inferno	7–13	-0.09	60%	11 Apr →
mirage	13–9	0.01	17%	3 Apr →