Dyqd — CS2 Stats

76561198796746429[U:1:836480701]

331Tracked matches64%Win rate2023Tracked since

CSDB Rating5.0 DevelopingClutch Specialist

Premier CS Rating17,291Purple band · top ~19.3% of ranked players (population est.)

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim56

Positioning50

Utility30

0–100 skill scores via Leetify.

Recent form

STEADY49–41–10Last 10049%Win rateLLWWWWLWLL

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

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion well above par.

Aim5.6

Aggression3.9

Utility3.0

Positioning5.0

Opening Duels0.4

Clutch8.4

Limited utility dependenceReliable in 1v1s

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 79% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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

Reaction time. 584ms 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

Aim5.6

Positioning5.0

Utility3.0

Mechanics5.6

Opening Duels0.9

Win Impact9.8

Composite 5.0/10 (Developing), 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 rating0.00−0.00

first ⅓ avg 0.01 → last ⅓ avg 0.00

Reaction time583ms−103ms

first ⅓ avg 686ms → last ⅓ avg 583ms

Headshot accuracy15.5%−1.2%

first ⅓ avg 16.7% → last ⅓ avg 15.5%

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

0.22Best rating — cache 13–3

13–1Biggest win — nuke

9Longest win streak

L2Current streak

7–3In matches decided by ≤2 rounds

3Overtime games

Map breakdown

ancientBest map · 78% over 9dust2Weakest map · 36% over 14

Map	Grade	Played	Record	Win rate	Avg rating
cache	C	16	7–9	44%	0.01
mirage	C	16	6–10	38%	-0.01
vertigo	A	15	9–6	60%	0.02
dust2	C	14	5–9	36%	-0.00
anubis	C	12	5–7	42%	-0.01
nuke	A	10	6–4	60%	0.00
ancient	S	9	7–2	78%	0.00
inferno	—	3	2–1	67%	0.05
overpass	—	3	1–2	33%	-0.05
train	—	2	1–1	50%	-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

29Matches

34%Win rate

0.88Avg K/D

70.4ADR

51%Headshot %

Clutches & streaks

62%1v1 clutch win

21%1v2 clutch win

3Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	7	29%	0.80	11.7
Cache	6	33%	0.76	12.3
Nuke	4	25%	1.06	13.8
Anubis	4	75%	1.03	14.5
Mirage	4	50%	1.26	19.5
Ancient	2	0%	0.69	11.5

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.

15.8%Headshot accuracy

32.6%Accuracy (enemy spotted)

33.7%Spray accuracy

75.2%Counter-strafing

10.5°Preaim

584msReaction time

26.0%T opening success

37.2%CT opening success

0.32Enemies flashed / flash

4.0%Flash assists

12.56HE damage / grenade

1.93Flashes / 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 0.3176 — 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 26.0148% — 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.

36% win rate across 14 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
cache	9–13	-0.00	21%	27 Aug →
anubis	7–13	-0.04	8%	27 Aug →
ancient	13–10	-0.05	8%	24 Aug →
nuke	13–6	-0.06	26%	23 Aug →
dust2	13–8	0.05	20%	23 Aug →
cache	13–11	-0.01	21%	22 Aug →
mirage	8–13	0.07	10%	22 Aug →
mirage	13–11	0.04	20%	21 Aug →
mirage	14–16	-0.03	14%	19 Aug →
anubis	9–13	-0.04	23%	19 Aug →
ancient	13–8	0.14	14%	19 Aug →
anubis	13–11	-0.03	12%	19 Aug →
dust2	15–15	-0.01	22%	19 Aug →
vertigo	13–8	-0.03	20%	19 Aug →
cache	13–8	0.03	15%	18 Aug →
anubis	4–13	-0.05	15%	18 Aug →
mirage	13–8	-0.03	16%	16 Aug →
ancient	13–11	-0.01	7%	15 Aug →
vertigo	13–11	0.02	10%	15 Aug →
ancient	5–13	-0.06	13%	15 Aug →
anubis	15–15	0.02	23%	15 Aug →
ancient	13–11	0.03	17%	14 Aug →
mirage	8–13	-0.00	16%	13 Aug →
anubis	9–13	-0.03	9%	13 Aug →
mirage	7–13	-0.04	25%	13 Aug →
dust2	13–4	0.03	12%	12 Aug →
anubis	13–8	0.05	11%	12 Aug →
vertigo	13–3	0.04	10%	12 Aug →
vertigo	13–11	0.08	16%	12 Aug →
cache	13–10	0.01	16%	12 Aug →
ancient	13–10	0.02	19%	12 Aug →
nuke	13–9	-0.04	13%	12 Aug →
dust2	13–10	-0.04	11%	12 Aug →
inferno	13–2	0.07	13%	12 Aug →
nuke	9–13	-0.04	24%	12 Aug →
dust2	6–13	-0.08	19%	12 Aug →
cache	13–3	0.00	10%	11 Aug →
mirage	13–5	-0.02	27%	11 Aug →
anubis	13–9	-0.02	24%	11 Aug →
nuke	13–2	0.00	17%	11 Aug →
vertigo	13–9	-0.02	17%	11 Aug →
dust2	13–10	0.03	21%	11 Aug →
inferno	9–6	0.09	16%	11 Aug →
cache	8–13	0.02	27%	11 Aug →
anubis	11–13	0.02	17%	10 Aug →
mirage	13–2	-0.02	16%	7 Aug →
overpass	13–6	-0.03	20%	7 Aug →
cache	13–10	-0.04	26%	7 Aug →
vertigo	12–12	-0.07	29%	7 Aug →
anubis	13–5	0.04	18%	3 Aug →
mirage	13–6	0.10	18%	3 Aug →
nuke	5–13	0.01	18%	31 Jul →
dust2	7–13	-0.05	28%	31 Jul →
dust2	13–2	0.15	24%	27 Jul →
vertigo	2–13	-0.01	21%	27 Jul →
mirage	10–13	-0.05	13%	25 Jul →
inferno	7–13	-0.01	13%	23 Jul →
vertigo	7–13	0.03	23%	23 Jul →
overpass	9–13	-0.08	5%	22 Jul →
cache	13–10	-0.01	20%	22 Jul →
vertigo	4–13	-0.04	9%	22 Jul →
vertigo	10–13	-0.01	27%	22 Jul →
nuke	13–6	0.13	18%	22 Jul →
ancient	11–13	-0.01	8%	21 Jul →
nuke	8–13	-0.06	13%	21 Jul →
train	8–13	-0.03	20%	21 Jul →
cache	7–13	-0.04	8%	19 Jul →
cache	1–13	-0.05	29%	17 Jul →
train	13–5	-0.07	24%	17 Jul →
cache	7–13	0.01	21%	17 Jul →
overpass	7–13	-0.03	17%	17 Jul →
vertigo	8–13	-0.03	8%	17 Jul →
dust2	8–13	-0.02	14%	17 Jul →
mirage	12–12	-0.01	19%	16 Jul →
dust2	6–13	-0.02	21%	16 Jul →
mirage	12–12	0.02	17%	15 Jul →
cache	12–12	0.01	15%	15 Jul →
cache	9–13	-0.00	13%	15 Jul →
dust2	8–13	0.03	17%	15 Jul →
anubis	13–2	0.05	9%	14 Jul →
mirage	8–13	-0.06	14%	14 Jul →
ancient	13–8	-0.05	15%	14 Jul →
dust2	12–12	-0.04	19%	14 Jul →
nuke	13–1	0.08	22%	14 Jul →
vertigo	13–8	0.04	19%	14 Jul →
anubis	1–13	-0.08	10%	8 Jul →
mirage	13–10	0.00	17%	8 Jul →
vertigo	13–7	0.07	25%	8 Jul →
cache	13–3	0.22	18%	8 Jul →
dust2	5–13	-0.01	17%	7 Jul →
vertigo	13–3	0.01	21%	30 Jun →
mirage	6–13	-0.06	18%	30 Jun →
cache	2–5	-0.06	0%	30 Jun →
dust2	4–8	-0.03	24%	30 Jun →
mirage	12–12	-0.02	5%	28 Jun →
ancient	13–7	0.02	20%	28 Jun →
nuke	12–12	0.01	23%	28 Jun →
cache	12–12	0.05	21%	28 Jun →
nuke	13–5	0.00	9%	28 Jun →
vertigo	13–6	0.20	13%	28 Jun →