YN_Filaton — CS2 Stats

76561198186348993[U:1:226083265]

596Tracked matches43%Win rate2020Tracked since

CSDB Rating5.4 DevelopingHybrid Rifler

Premier CS Rating23,314Top 50% of 17,162 CSDB-tracked playersPink band · top ~4.9% of ranked players (population est.)

CSDB Leaderboard#6931 of 31591 tracked

FaceitLevel 8 · 1,477 ELOTop 31.2% of ranked FACEIT players

WingmanMaster Guardian Elite

Ladder ranks via Leetify

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Performance scores

Aim63

Positioning54

Utility59

0–100 skill scores via Leetify.

Recent form

COLD49–49–2Last 10049%Win rateLLLLLLWWLW

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

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

Aim6.3

Aggression8.3

Utility5.9

Positioning5.4

Opening Duels4.0

Clutch2.8

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 88% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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

Areas to improve

T-side openings. Opening success drops from 55% on CT to 37% 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

Aim6.3

Positioning5.4

Utility5.9

Mechanics5.0

Opening Duels4.0

Win Impact2.8

Composite 5.4/10 (Developing), 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 rating0.02−0.04

first ⅓ avg 0.06 → last ⅓ avg 0.02

Reaction time534ms−57ms

first ⅓ avg 591ms → last ⅓ avg 534ms

Headshot accuracy18.1%+1.5%

first ⅓ avg 16.6% → last ⅓ avg 18.1%

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

0.34Best rating — inferno 9–1

13–1Biggest win — ancient

5Longest win streak

L6Current streak

5–7In matches decided by ≤2 rounds

3Overtime games

Map breakdown

cacheBest map · 60% over 15mirageWeakest map · 35% over 20

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	30	16–14	53%	0.05
mirage	C	20	7–13	35%	0.03
cache	A	15	9–6	60%	0.04
anubis	A	11	6–5	55%	0.05
dust2	C	9	4–5	44%	-0.01
nuke	—	4	3–1	75%	0.08
ancient	—	3	2–1	67%	0.05
vertigo	—	3	0–3	0%	-0.01
shelter	—	1	0–1	0%	0.08
alpine	—	1	1–0	100%	-0.03
poseidon	—	1	0–1	0%	0.01
warden	—	1	1–0	100%	0.18
train	—	1	0–1	0%	0.07

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (35% over 20). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

641Matches

58%Win rate

1.36Avg K/D

83.7ADR

42%Headshot %

Clutches & streaks

34%1v1 clutch win

18%1v2 clutch win

13Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	70	50%	1.14	16.1
Inferno	44	59%	1.18	17.9
Anubis	33	61%	1.05	17.0
Dust2	25	48%	0.92	15.7
Ancient	22	59%	1.01	15.9
Nuke	11	55%	1.15	19.1
Cache	8	12%	1.18	19.9
Overpass	4	50%	0.98	16.8

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.

18.5%Headshot accuracy

31.4%Accuracy (enemy spotted)

34.2%Spray accuracy

72.7%Counter-strafing

10.0°Preaim

531msReaction time

36.5%T opening success

55.3%CT opening success

0.64Enemies flashed / flash

12.0%Flash assists

11.25HE damage / grenade

4.15Flashes / 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 36.5315% — 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.

35% win rate across 20 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
shelter	3–13	0.08	18%	28 Aug →
dust2	1–13	-0.05	14%	28 Aug →
inferno	0–13	-0.06	35%	28 Aug →
mirage	5–13	0.01	16%	26 Aug →
inferno	5–13	0.08	22%	26 Aug →
inferno	9–13	0.04	20%	25 Aug →
dust2	13–7	-0.02	12%	25 Aug →
anubis	13–11	0.03	25%	25 Aug →
cache	11–13	0.01	21%	25 Aug →
mirage	13–11	0.06	18%	20 Aug →
cache	4–13	0.01	32%	20 Aug →
inferno	3–13	0.00	25%	20 Aug →
inferno	9–13	-0.01	17%	18 Aug →
dust2	13–10	0.01	23%	13 Aug →
mirage	13–6	0.10	21%	13 Aug →
inferno	13–8	0.09	13%	13 Aug →
inferno	13–2	0.08	12%	9 Aug →
inferno	10–13	-0.02	17%	8 Aug →
ancient	9–10	0.01	23%	8 Aug →
inferno	5–13	-0.01	15%	7 Aug →
anubis	8–13	-0.01	7%	7 Aug →
mirage	10–13	0.02	13%	7 Aug →
mirage	2–13	-0.12	18%	2 Aug →
inferno	13–9	0.05	20%	2 Aug →
mirage	11–13	-0.00	21%	2 Aug →
inferno	10–13	-0.00	16%	28 Jul →
cache	13–10	0.01	19%	28 Jul →
mirage	13–6	0.07	16%	26 Jul →
cache	8–0	0.07	11%	26 Jul →
anubis	13–4	0.07	13%	26 Jul →
inferno	1–13	-0.08	16%	25 Jul →
cache	13–10	0.05	13%	25 Jul →
anubis	13–8	0.02	16%	23 Jul →
mirage	13–7	0.01	25%	21 Jul →
mirage	13–3	0.01	7%	21 Jul →
anubis	13–8	0.03	18%	21 Jul →
cache	7–13	0.04	13%	21 Jul →
anubis	13–4	0.10	11%	21 Jul →
mirage	10–13	0.03	12%	20 Jul →
nuke	7–13	0.00	18%	20 Jul →
anubis	8–13	0.09	15%	20 Jul →
mirage	5–13	-0.03	9%	20 Jul →
inferno	13–8	0.06	16%	20 Jul →
mirage	6–13	-0.01	10%	19 Jul →
anubis	2–13	-0.03	7%	18 Jul →
cache	11–13	0.08	12%	18 Jul →
mirage	13–8	0.00	18%	16 Jul →
cache	11–13	0.07	22%	16 Jul →
mirage	11–13	0.00	26%	16 Jul →
inferno	8–13	-0.06	18%	15 Jul →
dust2	6–13	-0.01	18%	15 Jul →
inferno	13–8	-0.01	10%	15 Jul →
cache	13–8	-0.01	11%	15 Jul →
inferno	11–13	0.04	16%	15 Jul →
inferno	13–4	0.20	21%	15 Jul →
cache	13–8	0.01	18%	14 Jul →
cache	13–3	0.08	14%	14 Jul →
inferno	9–13	0.02	31%	14 Jul →
anubis	13–8	0.08	15%	13 Jul →
anubis	12–16	0.12	21%	12 Jul →
cache	13–8	0.02	13%	9 Jul →
inferno	13–4	0.03	21%	8 Jul →
ancient	13–1	0.05	20%	8 Jul →
alpine	13–5	-0.03	16%	8 Jul →
vertigo	12–12	0.01	17%	8 Jul →
inferno	9–7	0.02	9%	7 Jul →
inferno	9–1	0.34	30%	7 Jul →
poseidon	4–9	0.01	13%	7 Jul →
nuke	9–6	0.15	13%	7 Jul →
ancient	10–13	0.10	17%	7 Jul →
nuke	13–9	0.15	21%	7 Jul →
warden	4–0	0.18	20%	7 Jul →
inferno	13–2	0.05	17%	6 Jul →
cache	6–5	0.13	19%	6 Jul →
mirage	15–15	0.05	23%	5 Jul →
dust2	8–13	0.01	24%	5 Jul →
cache	13–9	0.06	26%	5 Jul →
inferno	13–9	-0.00	26%	2 Jul →
dust2	6–13	0.01	24%	2 Jul →
anubis	8–13	0.09	15%	2 Jul →
mirage	5–13	0.03	9%	2 Jul →
inferno	13–4	0.10	20%	2 Jul →
nuke	13–9	0.02	18%	2 Jul →
dust2	13–4	-0.00	18%	2 Jul →
vertigo	10–13	0.00	13%	22 Jun →
inferno	9–6	0.21	9%	21 Jun →
inferno	13–5	0.15	7%	21 Jun →
mirage	7–13	0.09	15%	20 Jun →
cache	8–13	-0.06	11%	20 Jun →
mirage	7–13	0.01	8%	18 Jun →
inferno	10–13	0.03	20%	18 Jun →
dust2	8–13	-0.01	16%	15 Jun →
mirage	5–13	0.05	13%	15 Jun →
inferno	4–13	0.04	17%	15 Jun →
vertigo	4–13	-0.04	15%	15 Jun →
train	11–13	0.07	16%	15 Jun →
inferno	13–6	0.04	10%	15 Jun →
inferno	13–6	0.11	20%	14 Jun →
mirage	13–4	0.24	15%	14 Jun →
dust2	16–13	0.02	22%	12 Jun →