Dyl0 — CS2 Stats

76561198159478036[U:1:199212308]

1,649Tracked matches50%Win rate2020Tracked since

CSDB Rating6.9 SolidAggressive Rifler

Premier CS Rating26,924Top 25% of 819 CSDB-tracked playersRed band · top ~2.1% of ranked players (population est.)

CSDB Leaderboard#890 of 15438 tracked

FaceitLevel 10 · 2,134 ELOTop 12.4% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

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Performance scores

Aim83

Positioning61

Utility62

0–100 skill scores via Leetify.

Recent form

STEADY54–41–5Last 10054%Win rateLWLLWWLWLL

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

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

Aim8.3

Aggression6.5

Utility6.2

Positioning6.1

Opening Duels2.6

Clutch4.6

Strong CT-side openerEffective flashes

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 Twistzz 94% playstyle similarity

Most alike: opening-duel success, 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

Areas to improve

T-side openings. Opening success drops from 50% on CT to 30% 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

Positioning6.1

Utility6.2

Mechanics7.6

Opening Duels2.6

Win Impact5.0

Composite 6.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 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 time534ms−9ms

first ⅓ avg 543ms → last ⅓ avg 534ms

Headshot accuracy20.9%−3.1%

first ⅓ avg 24.0% → last ⅓ avg 20.9%

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

0.21Best rating — cache 13–4

13–1Biggest win — mirage

6Longest win streak

8–5In matches decided by ≤2 rounds

9Overtime games

Map breakdown

cacheBest map · 78% over 9anubisWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	25	13–12	52%	0.03
mirage	B	21	11–10	52%	0.01
ancient	C	12	5–7	42%	-0.00
inferno	S	12	9–3	75%	0.03
nuke	B	11	5–6	45%	0.03
cache	S	9	7–2	78%	0.10
anubis	D	6	2–4	33%	0.03
overpass	—	2	1–1	50%	0.05
train	—	1	0–1	0%	0.01
fachwerk	—	1	1–0	100%	-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

410Matches

57%Win rate

1.27Avg K/D

85.2ADR

48%Headshot %

Clutches & streaks

43%1v1 clutch win

27%1v2 clutch win

10Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	92	59%	1.18	16.5
Dust2	78	55%	1.35	16.4
Ancient	46	52%	1.20	17.5
Inferno	43	53%	1.30	17.9
Anubis	19	63%	1.12	15.4
Nuke	15	80%	1.42	21.9
Cache	15	67%	1.26	15.1
Overpass	7	57%	1.48	19.6

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.

20.4%Headshot accuracy

36.7%Accuracy (enemy spotted)

36.8%Spray accuracy

84.4%Counter-strafing

9.4°Preaim

532msReaction time

30.1%T opening success

50.4%CT opening success

0.73Enemies flashed / flash

7.6%Flash assists

10.00HE damage / grenade

8.18Flashes / 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 30.1454% — below the 40% mark we flag

Spend your practice time on Anubis

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	10–13	-0.01	25%	28 Aug →
dust2	13–9	0.08	26%	28 Aug →
mirage	9–13	-0.00	21%	22 Aug →
anubis	11–13	0.00	12%	22 Aug →
ancient	13–6	0.01	14%	21 Aug →
ancient	13–11	-0.02	21%	21 Aug →
train	7–13	0.01	27%	21 Aug →
inferno	13–8	0.05	13%	21 Aug →
nuke	6–13	-0.02	44%	21 Aug →
nuke	2–13	-0.01	24%	15 Aug →
dust2	4–13	0.01	31%	14 Aug →
nuke	14–16	0.04	18%	14 Aug →
nuke	13–5	0.09	40%	14 Aug →
mirage	13–7	0.11	25%	14 Aug →
dust2	3–13	-0.00	26%	14 Aug →
anubis	10–13	0.10	21%	13 Aug →
anubis	13–11	0.01	19%	12 Aug →
mirage	1–13	-0.06	22%	12 Aug →
cache	4–13	-0.04	29%	6 Aug →
mirage	13–8	-0.04	9%	4 Aug →
cache	13–10	0.06	19%	4 Aug →
mirage	2–5	-0.02	17%	3 Aug →
nuke	16–14	0.05	12%	3 Aug →
inferno	13–7	0.02	11%	2 Aug →
dust2	5–13	-0.05	19%	2 Aug →
mirage	13–6	0.02	10%	30 Jul →
dust2	13–9	0.05	17%	29 Jul →
dust2	13–9	0.09	15%	29 Jul →
cache	13–3	0.10	16%	29 Jul →
ancient	10–13	-0.01	21%	28 Jul →
mirage	13–6	-0.01	14%	27 Jul →
dust2	7–13	-0.03	29%	25 Jul →
inferno	13–6	0.04	24%	25 Jul →
anubis	13–9	0.09	18%	25 Jul →
anubis	8–13	-0.01	13%	25 Jul →
nuke	13–7	-0.02	11%	24 Jul →
mirage	6–13	0.02	21%	22 Jul →
dust2	13–4	0.01	13%	22 Jul →
mirage	7–13	0.01	10%	21 Jul →
ancient	13–6	0.06	18%	20 Jul →
ancient	13–6	0.14	10%	20 Jul →
ancient	0–5	-0.07	23%	20 Jul →
inferno	5–13	0.06	21%	20 Jul →
mirage	13–3	0.11	24%	20 Jul →
mirage	0–4	-0.02	0%	20 Jul →
cache	13–4	0.20	11%	19 Jul →
dust2	9–13	0.05	19%	19 Jul →
nuke	13–3	0.08	19%	18 Jul →
dust2	1–13	-0.02	20%	18 Jul →
inferno	13–8	-0.01	6%	18 Jul →
mirage	13–10	0.07	11%	14 Jul →
mirage	13–10	0.04	22%	14 Jul →
dust2	13–2	-0.00	35%	14 Jul →
inferno	13–6	0.07	15%	14 Jul →
dust2	11–13	0.01	16%	14 Jul →
nuke	1–6	0.01	33%	13 Jul →
cache	13–4	0.21	14%	12 Jul →
nuke	7–13	0.02	13%	11 Jul →
fachwerk	13–4	-0.01	28%	11 Jul →
dust2	12–12	0.01	22%	11 Jul →
cache	13–11	0.09	29%	11 Jul →
mirage	13–6	0.02	23%	6 Jul →
mirage	13–1	0.02	16%	6 Jul →
cache	19–17	0.09	11%	6 Jul →
dust2	12–12	0.01	19%	6 Jul →
inferno	13–11	0.05	18%	6 Jul →
mirage	13–16	0.01	29%	5 Jul →
dust2	16–13	-0.07	21%	5 Jul →
dust2	13–10	-0.03	5%	4 Jul →
ancient	11–13	-0.07	16%	4 Jul →
dust2	9–13	0.09	30%	4 Jul →
ancient	0–13	-0.06	24%	3 Jul →
cache	12–12	0.10	25%	3 Jul →
dust2	5–13	-0.04	32%	3 Jul →
cache	13–6	0.09	55%	3 Jul →
mirage	15–15	-0.00	19%	29 Jun →
ancient	13–3	-0.01	15%	29 Jun →
inferno	13–8	0.10	17%	29 Jun →
dust2	11–13	0.12	32%	29 Jun →
dust2	19–17	0.04	22%	29 Jun →
dust2	13–1	0.06	34%	29 Jun →
mirage	4–13	-0.04	19%	29 Jun →
overpass	13–4	0.11	21%	28 Jun →
dust2	13–5	0.12	34%	28 Jun →
inferno	13–4	-0.01	9%	28 Jun →
dust2	13–3	0.15	23%	27 Jun →
mirage	13–10	0.07	30%	27 Jun →
nuke	13–6	0.04	16%	26 Jun →
ancient	8–13	-0.01	21%	26 Jun →
mirage	1–13	-0.05	40%	25 Jun →
ancient	15–15	0.06	17%	25 Jun →
nuke	7–13	-0.02	23%	25 Jun →
ancient	3–13	-0.03	14%	25 Jun →
inferno	10–13	-0.06	26%	25 Jun →
mirage	13–9	0.04	21%	25 Jun →
dust2	13–6	0.02	32%	20 Jun →
dust2	13–8	0.02	31%	19 Jun →
overpass	8–13	-0.01	17%	19 Jun →
inferno	6–13	0.02	33%	19 Jun →
inferno	16–14	0.01	18%	18 Jun →