Dylo — CS2 Stats

AU76561198058593764[U:1:98328036]Steam profile ↗

201Tracked matches41%Win rate2020Tracked since

CSDB Rating3.2 Learning

Ladder ranks via Leetify

Performance scores

Aim41

Positioning37

Utility18

0–100 skill scores via Leetify.

Recent form

COLD39–56–5Last 10039%Win rateLLWLLWWLLL

Last 10 vs previous 10: -40pp win rate · -0.01 avg rating

Player DNA

Aim4.1

Aggression4.1

Utility1.8

Positioning3.7

Opening Duels0.5

Clutch0.0

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 71% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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 44% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 610ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim4.1

Positioning3.7

Utility1.8

Mechanics3.6

Opening Duels1.8

Win Impact2.1

Composite 3.2/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.06−0.01

first ⅓ avg -0.05 → last ⅓ avg -0.06

Reaction time613ms−83ms

first ⅓ avg 696ms → last ⅓ avg 613ms

Headshot accuracy17.0%+2.9%

first ⅓ avg 14.1% → last ⅓ avg 17.0%

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

0.01Best rating — edin 7–13

13–1Biggest win — mirage

4Longest win streak

L2Current streak

4–10In matches decided by ≤2 rounds

11Overtime games

Map breakdown

overpassBest map · 60% over 5dust2Weakest map · 17% over 12

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	21	10–11	48%	-0.06
inferno	D	18	5–13	28%	-0.06
nuke	C	13	5–8	38%	-0.06
dust2	D	12	2–10	17%	-0.06
anubis	A	12	7–5	58%	-0.04
cache	D	6	2–4	33%	-0.07
ancient	C	5	2–3	40%	-0.04
overpass	A	5	3–2	60%	-0.04
vertigo	—	2	1–1	50%	-0.08
basalt	—	2	1–1	50%	-0.06
train	—	2	0–2	0%	-0.06
shelter	—	1	1–0	100%	-0.05
edin	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

47Matches

38%Win rate

0.52Avg K/D

45.8ADR

44%Headshot %

Clutches & streaks

0%1v1 clutch win

17%1v2 clutch win

2Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	19	37%	0.50	8.2
Vertigo	6	50%	0.69	9.3
Nuke	5	60%	0.69	10.0
Inferno	5	60%	0.34	7.6
Anubis	4	50%	0.38	9.0
Cache	3	0%	0.52	9.0
Dust2	2	0%	0.66	11.5
Ancient	2	0%	0.39	6.5

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.

16.7%Headshot accuracy

31.3%Accuracy (enemy spotted)

33.9%Spray accuracy

66.0%Counter-strafing

11.8°Preaim

610msReaction time

19.7%T opening success

44.3%CT opening success

0.26Enemies flashed / flash

1.9%Flash assists

4.90HE damage / grenade

3.58Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.2588 — below the 0.5 mark we flag
Grenade Lineups →
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 19.69% — below the 40% mark we flag

Spend your practice time on Dust 2

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

17% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	9–13	-0.08	9%	27 Aug →
dust2	9–13	-0.05	20%	26 Aug →
inferno	13–7	-0.07	15%	26 Aug →
mirage	9–13	-0.08	7%	26 Aug →
mirage	6–13	-0.06	32%	25 Aug →
inferno	16–14	-0.05	15%	25 Aug →
mirage	13–11	-0.04	8%	24 Aug →
inferno	4–13	-0.11	20%	24 Aug →
mirage	5–13	-0.06	28%	20 Aug →
inferno	14–16	-0.05	38%	16 Aug →
anubis	13–8	-0.09	7%	10 Aug →
anubis	13–6	-0.03	19%	9 Aug →
shelter	13–11	-0.05	20%	7 Aug →
dust2	5–13	0.01	8%	7 Aug →
nuke	13–7	-0.13	15%	7 Aug →
dust2	10–13	-0.09	14%	5 Aug →
cache	13–7	-0.07	18%	26 Jul →
ancient	12–12	-0.04	8%	23 Jul →
mirage	13–7	-0.07	10%	22 Jul →
inferno	13–6	-0.02	9%	22 Jul →
dust2	2–13	-0.12	33%	22 Jul →
inferno	14–16	-0.06	13%	22 Jul →
cache	11–13	-0.07	16%	22 Jul →
mirage	13–6	-0.05	13%	15 Jul →
nuke	11–13	-0.07	18%	15 Jul →
dust2	8–13	-0.04	24%	15 Jul →
inferno	8–13	-0.06	18%	7 Jul →
mirage	13–11	-0.04	13%	5 Jul →
anubis	5–13	-0.09	11%	2 Jul →
vertigo	4–13	-0.09	27%	2 Jul →
anubis	13–6	0.01	32%	1 Jul →
cache	9–13	-0.04	16%	28 Jun →
inferno	16–19	-0.09	9%	28 Jun →
overpass	8–13	-0.06	7%	24 Jun →
inferno	6–13	-0.04	14%	22 Jun →
dust2	4–13	-0.08	20%	21 Jun →
inferno	8–13	-0.03	8%	21 Jun →
cache	7–13	-0.06	14%	21 Jun →
mirage	12–16	-0.04	17%	21 Jun →
mirage	13–10	-0.03	18%	19 Jun →
anubis	13–8	0.01	19%	19 Jun →
dust2	16–13	-0.05	21%	19 Jun →
nuke	18–22	-0.06	12%	19 Jun →
mirage	1–13	-0.06	29%	19 Jun →
mirage	13–8	-0.06	6%	19 Jun →
inferno	6–13	-0.07	16%	18 Jun →
mirage	5–13	-0.03	8%	17 Jun →
nuke	13–8	0.01	12%	17 Jun →
dust2	14–16	-0.06	19%	15 Jun →
anubis	6–13	-0.06	10%	15 Jun →
mirage	12–16	-0.04	32%	15 Jun →
mirage	15–15	-0.05	28%	10 Jun →
nuke	9–13	-0.08	12%	9 Jun →
inferno	8–13	-0.09	18%	9 Jun →
mirage	13–1	-0.04	0%	9 Jun →
mirage	13–8	-0.03	13%	4 Jun →
dust2	7–13	-0.04	13%	1 Jun →
ancient	13–3	0.01	17%	1 Jun →
nuke	6–13	-0.09	31%	29 Apr →
cache	0–13	-0.16	12%	29 Apr →
cache	13–1	-0.02	26%	29 Apr →
inferno	13–8	0.01	30%	28 Apr →
mirage	11–13	-0.10	20%	22 Apr →
dust2	4–13	-0.09	14%	22 Apr →
mirage	7–13	-0.05	19%	22 Apr →
inferno	13–10	-0.03	50%	21 Apr →
anubis	10–13	-0.04	14%	21 Apr →
dust2	13–9	-0.08	20%	13 Apr →
overpass	13–5	-0.00	16%	13 Apr →
nuke	12–12	-0.07	14%	10 Apr →
overpass	0–13	-0.09	22%	17 Mar →
ancient	9–13	-0.07	23%	23 Feb →
nuke	13–9	-0.01	14%	23 Feb →
mirage	13–8	-0.11	38%	22 Feb →
anubis	5–13	-0.07	8%	22 Feb →
nuke	10–13	-0.06	6%	20 Feb →
nuke	14–16	-0.06	12%	10 Feb →
ancient	4–13	-0.08	14%	4 Feb →
mirage	10–13	-0.06	0%	8 Mar →
anubis	10–13	-0.06	15%	7 Feb →
inferno	11–13	-0.06	19%	7 Feb →
basalt	12–12	-0.07	4%	6 Feb →
anubis	13–8	-0.06	3%	5 Feb →
nuke	13–9	-0.09	8%	5 Feb →
inferno	11–13	-0.06	27%	4 Feb →
ancient	13–7	-0.01	17%	27 Dec →
inferno	12–12	-0.03	27%	27 Dec →
overpass	13–8	-0.03	0%	19 Dec →
nuke	2–13	-0.06	6%	19 Dec →
nuke	13–7	-0.03	15%	17 Dec →
anubis	13–8	-0.04	5%	16 Dec →
dust2	11–13	-0.01	32%	11 Dec →
vertigo	13–9	-0.06	23%	8 Dec →
train	2–13	-0.01	14%	27 Nov →
edin	7–13	0.01	13%	27 Nov →
train	10–13	-0.11	22%	18 Nov →
basalt	13–4	-0.04	11%	17 Nov →
overpass	13–10	-0.01	10%	10 Nov →
anubis	13–3	-0.01	0%	7 Nov →
mirage	13–9	-0.09	6%	4 Nov →