Chromosomes — CS2 Stats

US76561198079950254[U:1:119684526]Steam profile ↗✓ No bans

730Tracked matches52%Win rate2022Tracked since

CSDB Rating4.5 DevelopingClutch Specialist

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim53

Positioning32

Utility51

0–100 skill scores via Leetify.

Recent form

STEADY44–44–12Last 10044%Win rateTTWWWWTLLL

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

Player DNA

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

Aim5.3

Aggression0.9

Utility5.1

Positioning3.2

Opening Duels0.0

Clutch10.0

Strong CT-side openerEffective flashesReliable 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 72% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; 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

Strengths

Flashes. 0.77 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 33% on CT to 12% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 593ms 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

Aim5.3

Positioning3.2

Utility5.1

Mechanics6.2

Opening Duels0.4

Win Impact5.7

Composite 4.5/10 (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 rating-0.03−0.01

first ⅓ avg -0.02 → last ⅓ avg -0.03

Reaction time617ms−16ms

first ⅓ avg 634ms → last ⅓ avg 617ms

Headshot accuracy14.1%+1.1%

first ⅓ avg 13.0% → last ⅓ avg 14.1%

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

0.29Best rating — debris 9–0

13–3Biggest win — dust2

4Longest win streak

11–7In matches decided by ≤2 rounds

2Overtime games

Map breakdown

infernoBest map · 60% over 5nukeWeakest map · 25% over 12

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	48	22–26	46%	-0.03
nuke	D	12	3–9	25%	-0.03
mirage	C	9	4–5	44%	-0.02
debris	D	6	2–4	33%	-0.06
cache	B	6	3–3	50%	-0.05
inferno	A	5	3–2	60%	-0.02
eldorado	—	4	3–1	75%	0.03
ancient	—	3	1–2	33%	-0.04
anubis	—	3	2–1	67%	-0.05
office	—	1	0–1	0%	-0.01
shelter	—	1	1–0	100%	-0.07
poseidon	—	1	0–1	0%	-0.09
boulder	—	1	0–1	0%	-0.08

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

9Matches

56%Win rate

0.68Avg K/D

64.3ADR

32%Headshot %

Clutches & streaks

75%1v1 clutch win

0%1v2 clutch win

3Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Cache	4	75%	0.84	12.5
Inferno	2	50%	0.60	13.5
Mirage	2	50%	0.52	8.5
Dust2	1	0%	0.53	8.0

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.

13.5%Headshot accuracy

31.7%Accuracy (enemy spotted)

32.6%Spray accuracy

77.9%Counter-strafing

10.1°Preaim

593msReaction time

11.9%T opening success

33.1%CT opening success

0.77Enemies flashed / flash

8.7%Flash assists

6.22HE damage / grenade

7.88Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 13.5453% — below the 15% mark we flag
Aim Training →
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 11.8892% — below the 40% mark we flag

Spend your practice time on Nuke

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

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
office	12–12	-0.01	15%	16 Aug →
nuke	12–12	-0.06	6%	9 Aug →
dust2	13–4	-0.04	13%	9 Aug →
dust2	13–6	0.04	11%	9 Aug →
dust2	13–4	-0.04	13%	6 Aug →
dust2	13–7	-0.01	12%	6 Aug →
dust2	12–12	-0.07	14%	3 Aug →
ancient	12–16	-0.06	13%	1 Aug →
ancient	7–13	-0.04	10%	1 Aug →
dust2	6–13	-0.07	24%	25 Jul →
nuke	16–12	-0.02	9%	23 Jul →
dust2	13–8	0.01	12%	23 Jul →
debris	4–9	-0.16	3%	19 Jul →
eldorado	9–6	0.05	7%	19 Jul →
debris	3–9	-0.19	14%	19 Jul →
dust2	10–13	-0.05	33%	17 Jul →
dust2	13–7	-0.02	12%	17 Jul →
nuke	13–6	0.05	14%	17 Jul →
dust2	7–13	-0.05	10%	17 Jul →
cache	6–13	-0.08	16%	16 Jul →
mirage	13–8	-0.02	13%	16 Jul →
shelter	13–10	-0.07	16%	13 Jul →
debris	9–0	0.29	20%	12 Jul →
eldorado	8–8	-0.07	2%	12 Jul →
debris	9–7	-0.07	11%	12 Jul →
debris	7–9	0.04	26%	12 Jul →
eldorado	9–4	-0.09	17%	12 Jul →
poseidon	5–9	-0.09	14%	12 Jul →
eldorado	9–0	0.24	24%	12 Jul →
debris	4–9	-0.25	6%	12 Jul →
boulder	8–13	-0.08	16%	9 Jul →
dust2	13–7	0.02	13%	8 Jul →
dust2	5–13	-0.01	29%	28 Jun →
dust2	9–13	-0.05	9%	27 Jun →
nuke	4–13	-0.05	11%	27 Jun →
inferno	12–12	-0.01	7%	25 Jun →
dust2	10–13	0.01	12%	24 Jun →
dust2	13–8	-0.00	17%	23 Jun →
nuke	4–5	-0.02	11%	23 Jun →
dust2	13–3	-0.03	16%	22 Jun →
mirage	12–12	-0.06	8%	20 Jun →
dust2	13–8	0.01	17%	18 Jun →
nuke	8–13	-0.01	11%	7 Jun →
dust2	12–12	-0.09	11%	7 Jun →
mirage	13–11	-0.05	13%	25 May →
dust2	1–13	-0.13	10%	24 May →
dust2	12–12	0.02	22%	22 May →
dust2	11–13	-0.07	17%	21 May →
cache	1–13	-0.08	10%	14 May →
cache	13–11	-0.03	4%	14 May →
dust2	8–13	-0.04	13%	12 May →
dust2	3–13	-0.12	21%	11 May →
dust2	13–8	-0.03	17%	9 May →
cache	6–13	0.01	12%	30 Apr →
cache	13–11	-0.04	13%	30 Apr →
cache	13–6	-0.05	3%	29 Apr →
dust2	10–13	-0.05	10%	27 Apr →
dust2	13–9	-0.02	7%	27 Apr →
dust2	9–13	-0.05	12%	26 Apr →
dust2	1–13	-0.06	12%	20 Apr →
dust2	12–12	-0.03	11%	19 Apr →
dust2	13–5	-0.05	14%	19 Apr →
dust2	11–13	-0.08	11%	16 Apr →
dust2	12–12	-0.03	18%	12 Apr →
nuke	9–13	-0.01	17%	31 Mar →
inferno	13–11	-0.03	15%	31 Mar →
dust2	7–13	-0.02	18%	29 Mar →
mirage	11–13	-0.04	9%	18 Mar →
anubis	13–11	-0.06	13%	16 Mar →
dust2	13–6	-0.01	27%	16 Mar →
dust2	11–13	-0.02	14%	16 Mar →
mirage	12–12	0.00	15%	15 Mar →
dust2	8–13	-0.01	9%	15 Mar →
dust2	13–11	0.02	15%	14 Mar →
inferno	13–6	-0.01	21%	14 Mar →
dust2	12–12	-0.00	9%	13 Mar →
dust2	7–13	-0.03	13%	7 Mar →
anubis	6–13	-0.06	13%	7 Mar →
dust2	8–13	-0.00	8%	7 Mar →
nuke	4–13	-0.11	8%	7 Mar →
inferno	13–6	-0.05	6%	7 Mar →
dust2	13–10	-0.02	16%	6 Mar →
dust2	13–11	-0.04	14%	6 Mar →
mirage	11–13	-0.02	16%	6 Mar →
dust2	13–7	0.00	21%	6 Mar →
mirage	13–8	0.03	17%	6 Mar →
nuke	10–13	-0.05	14%	5 Mar →
dust2	13–7	-0.04	13%	5 Mar →
dust2	7–13	-0.04	12%	5 Mar →
nuke	13–8	-0.01	15%	5 Mar →
dust2	13–4	0.01	23%	5 Mar →
anubis	13–11	-0.04	7%	5 Mar →
ancient	13–6	-0.03	7%	4 Mar →
nuke	1–4	0.00	13%	4 Mar →
dust2	13–11	-0.02	10%	25 Feb →
inferno	9–13	-0.01	11%	25 Feb →
dust2	13–10	-0.01	11%	24 Feb →
mirage	13–11	0.00	12%	24 Feb →
nuke	8–13	-0.01	7%	21 Feb →
mirage	8–13	-0.03	12%	21 Feb →