yerf_cs — CS2 Stats

76561198066576048[U:1:106310320]✓ No bans

1,241Tracked matches47%Win rate2020Tracked since

CSDB Rating6.0 SolidPassive Rifler

FaceitLevel 10 · 1,987 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim85

Positioning43

Utility69

0–100 skill scores via Leetify.

Recent form

STEADY52–48Last 10052%Win rateWWWWWLLLWL

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating

Player DNA

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

Aim8.5

Aggression0.8

Utility6.9

Positioning4.3

Opening Duels0.0

Clutch4.0

Sharp aimerExcellent counter-strafingStrong 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 NiKo 82% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower opening-duel success; lower opening-fight frequency.

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

Counter-strafing. 90% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Positioning. Positioning trails aim by 42 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 40% on CT to 16% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 567ms 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

Aim8.5

Positioning4.3

Utility6.9

Mechanics8.9

Opening Duels1.3

Win Impact3.9

Composite 6.0/10 (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 rating0.00−0.00

first ⅓ avg 0.01 → last ⅓ avg 0.00

Reaction time582ms+21ms

first ⅓ avg 561ms → last ⅓ avg 582ms

Headshot accuracy16.5%−1.3%

first ⅓ avg 17.7% → last ⅓ avg 16.5%

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

0.10Best rating — nuke 16–13

13–2Biggest win — ancient

7Longest win streak

W5Current streak

12–7In matches decided by ≤2 rounds

14Overtime games

Map breakdown

nukeBest map · 67% over 6ancientWeakest map · 43% over 21

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	27	16–11	59%	0.00
ancient	C	21	9–12	43%	0.00
dust2	A	20	11–9	55%	-0.00
anubis	B	15	7–8	47%	0.00
cache	C	9	4–5	44%	0.02
nuke	S	6	4–2	67%	0.02
inferno	—	1	1–0	100%	0.01
overpass	—	1	0–1	0%	0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (43% over 21). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

382Matches

54%Win rate

1.17Avg K/D

81.9ADR

46%Headshot %

Clutches & streaks

40%1v1 clutch win

23%1v2 clutch win

14Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	128	54%	1.20	16.3
Ancient	84	62%	1.25	17.1
Dust2	62	58%	1.16	16.3
Anubis	34	41%	1.17	15.7
Cache	17	53%	0.95	15.1
Inferno	15	47%	1.03	14.3
Nuke	11	55%	1.28	15.3
Overpass	5	60%	1.46	19.8

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.

16.4%Headshot accuracy

38.3%Accuracy (enemy spotted)

43.6%Spray accuracy

90.0%Counter-strafing

9.4°Preaim

567msReaction time

15.8%T opening success

40.1%CT opening success

0.70Enemies flashed / flash

12.2%Flash assists

8.44HE damage / grenade

15.78Flashes / 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 15.836% — 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.

43% win rate across 21 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
dust2	13–8	-0.07	14%	28 Aug →
mirage	13–8	0.01	15%	28 Aug →
ancient	13–6	0.05	10%	28 Aug →
mirage	13–3	0.08	16%	28 Aug →
dust2	13–8	0.01	14%	27 Aug →
mirage	14–16	0.03	10%	27 Aug →
mirage	10–13	-0.02	26%	26 Aug →
ancient	10–13	-0.00	13%	26 Aug →
mirage	13–10	-0.05	13%	26 Aug →
ancient	8–13	-0.00	12%	24 Aug →
anubis	13–10	-0.01	18%	22 Aug →
anubis	8–13	0.02	10%	22 Aug →
cache	6–13	-0.04	23%	21 Aug →
anubis	13–3	0.01	19%	21 Aug →
anubis	13–7	0.07	18%	21 Aug →
inferno	13–5	0.01	15%	21 Aug →
nuke	8–13	-0.03	18%	21 Aug →
dust2	5–13	-0.02	26%	21 Aug →
dust2	8–13	0.06	22%	21 Aug →
dust2	8–13	-0.06	15%	21 Aug →
anubis	10–13	-0.00	21%	21 Aug →
mirage	7–13	-0.01	14%	19 Aug →
cache	13–6	0.03	18%	17 Aug →
mirage	19–17	0.01	19%	12 Aug →
mirage	13–16	0.01	13%	11 Aug →
mirage	13–10	-0.03	20%	11 Aug →
dust2	6–13	0.03	20%	10 Aug →
ancient	5–13	-0.05	14%	10 Aug →
ancient	13–16	-0.04	16%	10 Aug →
dust2	16–14	0.05	15%	9 Aug →
ancient	13–2	0.05	16%	8 Aug →
mirage	13–9	0.00	12%	8 Aug →
ancient	9–13	0.03	22%	8 Aug →
mirage	10–13	-0.01	18%	8 Aug →
mirage	13–10	0.01	20%	7 Aug →
nuke	9–13	-0.04	21%	7 Aug →
dust2	13–11	-0.07	7%	6 Aug →
ancient	13–11	-0.03	12%	6 Aug →
ancient	6–13	0.06	15%	6 Aug →
mirage	11–13	-0.01	12%	5 Aug →
anubis	13–7	0.04	20%	31 Jul →
cache	10–13	0.01	13%	31 Jul →
anubis	13–3	0.03	9%	31 Jul →
dust2	13–11	0.02	23%	29 Jul →
anubis	7–13	-0.02	4%	27 Jul →
mirage	3–13	-0.06	5%	27 Jul →
nuke	13–10	-0.04	9%	27 Jul →
ancient	4–13	-0.03	15%	27 Jul →
mirage	19–15	0.03	6%	23 Jul →
anubis	13–11	0.01	13%	23 Jul →
ancient	6–13	-0.04	8%	20 Jul →
anubis	9–13	0.06	12%	20 Jul →
ancient	7–13	-0.05	30%	15 Jul →
ancient	16–13	0.05	11%	9 Jul →
ancient	13–7	0.09	21%	9 Jul →
cache	7–13	0.03	21%	8 Jul →
anubis	10–13	-0.05	9%	8 Jul →
dust2	10–13	0.08	22%	5 Jul →
mirage	13–9	0.04	15%	5 Jul →
cache	14–16	0.00	16%	29 Jun →
cache	13–9	0.01	16%	27 Jun →
mirage	13–11	0.01	14%	27 Jun →
mirage	10–13	-0.02	16%	26 Jun →
dust2	7–13	-0.04	19%	26 Jun →
overpass	11–13	0.05	14%	24 Jun →
mirage	13–11	0.01	21%	24 Jun →
ancient	2–13	-0.06	30%	24 Jun →
nuke	13–4	0.06	22%	24 Jun →
mirage	7–13	0.09	21%	23 Jun →
ancient	16–19	0.00	17%	23 Jun →
dust2	13–3	0.04	18%	23 Jun →
ancient	13–4	0.07	19%	20 Jun →
mirage	13–8	0.02	15%	20 Jun →
mirage	13–9	-0.03	20%	15 Jun →
anubis	8–13	-0.06	6%	15 Jun →
dust2	13–11	-0.04	21%	15 Jun →
dust2	13–11	0.02	19%	15 Jun →
dust2	10–13	0.02	20%	12 Jun →
nuke	13–2	0.04	21%	12 Jun →
nuke	16–13	0.10	37%	11 Jun →
dust2	7–13	-0.07	16%	11 Jun →
mirage	13–11	0.01	18%	11 Jun →
dust2	16–12	-0.04	20%	8 Jun →
anubis	13–8	0.05	9%	8 Jun →
anubis	5–13	-0.08	10%	7 Jun →
mirage	2–13	-0.01	23%	6 Jun →
cache	16–13	0.05	14%	6 Jun →
mirage	13–8	0.02	20%	5 Jun →
ancient	13–7	0.04	14%	5 Jun →
dust2	13–9	-0.02	18%	5 Jun →
ancient	19–16	-0.00	11%	1 Jun →
mirage	13–11	0.02	20%	1 Jun →
dust2	13–3	0.07	15%	1 Jun →
mirage	10–13	-0.03	9%	1 Jun →
ancient	11–13	-0.03	5%	29 May →
cache	13–3	0.06	23%	29 May →
cache	11–13	-0.00	13%	27 May →
anubis	14–16	-0.03	15%	27 May →
dust2	7–13	-0.03	28%	27 May →
ancient	13–7	-0.02	28%	26 May →