zyluck — CS2 Stats

FI76561198999485118[U:1:1039219390]Steam profile ↗

1,610Tracked matches40%Win rate2022Tracked since

CSDB Rating5.2 DevelopingAggressive Rifler

Premier CS Rating7,930Light Blue band · top ~64.8% of ranked players (population est.)

CSDB Leaderboard#5194 of 6966 tracked

FaceitLevel 10Top 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim85

Positioning57

Utility32

0–100 skill scores via Leetify.

Recent form

STEADY41–59Last 10041%Win rateLWLLLWLWLW

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.

Aim8.5

Aggression6.9

Utility3.2

Positioning5.7

Opening Duels2.9

Clutch3.8

Sharp aimer

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 ropz 89% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution; lower opening-duel success.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 570ms 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

Positioning5.7

Utility3.2

Mechanics7.9

Opening Duels2.9

Win Impact1.7

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.02

first ⅓ avg 0.01 → last ⅓ avg 0.03

Reaction time573ms−13ms

first ⅓ avg 586ms → last ⅓ avg 573ms

Headshot accuracy22.1%+1.4%

first ⅓ avg 20.7% → last ⅓ avg 22.1%

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

0.18Best rating — nuke 13–5

13–2Biggest win — ancient

4Longest win streak

7–7In matches decided by ≤2 rounds

13Overtime games

Map breakdown

ancientBest map · 53% over 17infernoWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	33	12–21	36%	0.02
dust2	C	27	11–16	41%	0.03
ancient	B	17	9–8	53%	0.04
nuke	B	8	4–4	50%	0.04
inferno	D	6	2–4	33%	0.00
anubis	D	6	2–4	33%	0.01
overpass	—	2	1–1	50%	0.03
vertigo	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

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

Faceit stats

Combat

479Matches

52%Win rate

1.29Avg K/D

94.8ADR

49%Headshot %

Clutches & streaks

39%1v1 clutch win

30%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	118	55%	1.33	20.7
Mirage	106	58%	1.29	19.6
Ancient	41	51%	1.40	20.3
Nuke	19	26%	1.02	15.9
Anubis	13	62%	1.31	19.5
Inferno	12	67%	1.22	19.2
Cache	3	33%	1.09	17.0
Vertigo	3	0%	1.03	16.7

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.

22.7%Headshot accuracy

38.3%Accuracy (enemy spotted)

35.0%Spray accuracy

85.3%Counter-strafing

8.7°Preaim

570msReaction time

38.5%T opening success

45.0%CT opening success

0.42Enemies flashed / flash

6.6%Flash assists

7.32HE damage / grenade

5.50Flashes / 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 0.4238 — 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 38.4714% — below the 40% mark we flag

Spend your practice time on Inferno

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.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	16–19	-0.02	24%	25 Aug →
dust2	13–3	0.13	15%	24 Aug →
dust2	11–13	0.03	20%	23 Aug →
inferno	7–13	0.07	33%	23 Aug →
mirage	8–13	0.01	16%	23 Aug →
ancient	13–7	0.11	20%	23 Aug →
mirage	9–13	-0.01	17%	22 Aug →
dust2	13–11	0.02	22%	21 Aug →
dust2	5–13	-0.02	18%	21 Aug →
ancient	16–12	0.05	19%	12 Aug →
vertigo	7–13	-0.03	19%	8 Aug →
mirage	13–6	0.05	18%	3 Aug →
nuke	13–5	0.18	32%	2 Aug →
mirage	9–13	0.04	15%	2 Aug →
dust2	7–13	0.01	24%	26 Jul →
mirage	13–9	0.12	23%	26 Jul →
mirage	5–13	0.08	22%	22 Jul →
mirage	6–13	0.00	13%	22 Jul →
mirage	7–13	0.03	39%	20 Jul →
mirage	13–8	0.03	38%	20 Jul →
mirage	13–10	-0.04	21%	19 Jul →
anubis	13–10	0.07	30%	18 Jul →
nuke	13–11	0.09	28%	18 Jul →
ancient	15–19	0.02	19%	17 Jul →
dust2	12–16	0.01	26%	15 Jul →
mirage	8–13	0.04	12%	14 Jul →
nuke	13–16	0.02	27%	13 Jul →
ancient	13–6	-0.02	11%	12 Jul →
mirage	13–16	0.03	35%	12 Jul →
mirage	6–13	-0.03	17%	10 Jul →
dust2	8–13	-0.00	6%	10 Jul →
dust2	9–13	0.01	26%	5 Jul →
ancient	5–13	0.06	24%	5 Jul →
dust2	16–19	0.04	27%	4 Jul →
inferno	13–10	0.02	26%	4 Jul →
mirage	13–10	0.04	23%	4 Jul →
dust2	10–13	-0.01	24%	4 Jul →
mirage	16–14	0.07	16%	28 Jun →
dust2	13–10	0.07	25%	28 Jun →
dust2	13–10	0.10	27%	28 Jun →
ancient	13–2	0.06	23%	28 Jun →
anubis	10–13	0.01	19%	28 Jun →
ancient	13–11	0.11	20%	28 Jun →
ancient	4–13	-0.02	14%	28 Jun →
anubis	9–13	0.01	22%	28 Jun →
mirage	10–13	0.04	35%	28 Jun →
dust2	13–10	0.07	22%	27 Jun →
dust2	13–7	0.03	34%	25 Jun →
overpass	11–13	0.00	22%	25 Jun →
dust2	8–13	0.03	34%	23 Jun →
ancient	8–13	0.04	16%	21 Jun →
ancient	13–4	0.06	14%	21 Jun →
dust2	6–13	0.04	20%	21 Jun →
inferno	10–13	0.04	16%	21 Jun →
ancient	13–7	0.10	22%	21 Jun →
mirage	8–13	-0.02	13%	21 Jun →
mirage	5–13	0.05	30%	21 Jun →
dust2	11–13	0.03	30%	21 Jun →
inferno	13–8	0.03	19%	16 Jun →
mirage	13–10	0.06	28%	10 Jun →
dust2	10–13	0.04	18%	9 Jun →
mirage	6–13	0.01	26%	9 Jun →
ancient	8–13	0.00	17%	8 Jun →
dust2	17–19	-0.02	21%	7 Jun →
mirage	8–13	-0.04	11%	7 Jun →
mirage	8–13	0.07	16%	2 Jun →
anubis	11–13	-0.06	8%	2 Jun →
ancient	6–13	0.03	37%	2 Jun →
inferno	13–16	-0.08	25%	1 Jun →
dust2	19–15	0.02	23%	1 Jun →
ancient	10–13	0.04	12%	1 Jun →
mirage	13–10	-0.02	11%	31 May →
mirage	11–13	0.02	17%	30 May →
mirage	16–12	0.00	0%	30 May →
mirage	10–13	0.03	27%	30 May →
dust2	13–11	0.02	31%	30 May →
nuke	1–13	-0.07	17%	30 May →
mirage	12–16	0.02	26%	30 May →
dust2	13–11	0.09	31%	30 May →
dust2	11–13	-0.01	29%	30 May →
mirage	13–3	0.11	27%	30 May →
inferno	5–13	-0.06	11%	29 May →
anubis	9–13	0.01	15%	29 May →
ancient	13–8	0.06	16%	29 May →
ancient	8–13	-0.01	21%	29 May →
overpass	13–9	0.05	17%	29 May →
mirage	8–13	-0.03	27%	29 May →
mirage	13–8	0.01	5%	29 May →
anubis	13–11	0.03	25%	29 May →
nuke	13–9	0.08	29%	29 May →
nuke	9–13	0.02	20%	28 May →
dust2	9–13	-0.01	13%	28 May →
mirage	7–13	-0.03	19%	27 May →
dust2	9–13	0.04	28%	26 May →
nuke	13–10	0.02	14%	25 May →
nuke	7–13	-0.03	27%	25 May →
ancient	13–6	0.07	27%	25 May →
dust2	13–6	0.02	17%	23 May →
dust2	13–6	0.01	23%	23 May →
mirage	13–7	0.05	16%	23 May →