.𝙁𝒍𝙤 — CS2 Stats

76561198155269243[U:1:195003515]

1,192Tracked matches57%Win rate2020Tracked since

CSDB Rating4.9 Developing

FaceitLevel 7 · 1,494 ELOTop 42.3% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim57

Positioning49

Utility59

0–100 skill scores via Leetify.

Recent form

HOT50–47–3Last 10050%Win rateWWLLWWWWWW

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

Player DNA

Aim5.7

Aggression5.1

Utility5.9

Positioning4.9

Opening Duels0.8

Clutch7.4

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 87% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: 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 42% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 701ms 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

Aim5.7

Positioning4.9

Utility5.9

Mechanics6.6

Opening Duels1.5

Win Impact7.2

Composite 4.9/10 (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 rating0.00+0.00

first ⅓ avg -0.00 → last ⅓ avg 0.00

Reaction time693ms+44ms

first ⅓ avg 649ms → last ⅓ avg 693ms

Headshot accuracy21.3%+1.6%

first ⅓ avg 19.7% → last ⅓ avg 21.3%

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

0.09Best rating — mirage 13–1

13–1Biggest win — mirage

7Longest win streak

W2Current streak

6–7In matches decided by ≤2 rounds

9Overtime games

Map breakdown

cacheBest map · 63% over 8dust2Weakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	27	16–11	59%	0.01
anubis	B	20	10–10	50%	-0.01
nuke	B	15	8–7	53%	-0.01
ancient	C	12	5–7	42%	-0.01
dust2	D	9	3–6	33%	-0.03
cache	A	8	5–3	63%	0.01
train	D	6	2–4	33%	-0.01
shelter	—	1	0–1	0%	0.02
boulder	—	1	1–0	100%	-0.01
office	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

150Matches

59%Win rate

1.32Avg K/D

72.5ADR

55%Headshot %

Clutches & streaks

57%1v1 clutch win

22%1v2 clutch win

9Longest win streak

Recent Faceit resultsLWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	16	69%	1.11	16.1
Ancient	16	75%	1.05	13.9
Anubis	14	64%	1.29	14.6
Mirage	13	54%	0.90	12.3
Inferno	6	33%	3.63	12.8
Dust2	5	60%	1.30	12.4
Vertigo	3	67%	1.26	16.7
Overpass	2	100%	0.82	11.0

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.

21.8%Headshot accuracy

29.7%Accuracy (enemy spotted)

34.3%Spray accuracy

79.5%Counter-strafing

9.0°Preaim

701msReaction time

24.1%T opening success

42.1%CT opening success

0.74Enemies flashed / flash

3.5%Flash assists

8.59HE damage / grenade

12.21Flashes / 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 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 700.7603ms — above the 700ms 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 24.127% — 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.

33% win rate across 9 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
mirage	13–7	0.02	14%	25 Aug →
train	13–11	-0.02	14%	18 Aug →
train	8–13	0.05	16%	18 Aug →
train	2–13	-0.10	8%	17 Aug →
mirage	13–7	0.07	16%	8 Aug →
anubis	13–7	0.04	26%	8 Aug →
cache	13–5	0.03	16%	8 Aug →
nuke	13–10	-0.01	21%	21 Jul →
cache	13–9	0.01	21%	21 Jul →
anubis	13–2	-0.02	27%	21 Jul →
mirage	13–11	-0.01	18%	18 Jul →
cache	6–13	-0.03	16%	18 Jul →
mirage	12–16	0.01	33%	16 Jul →
mirage	3–13	-0.02	33%	13 Jul →
shelter	9–13	0.02	27%	12 Jul →
boulder	13–7	-0.01	29%	12 Jul →
anubis	13–11	0.02	18%	12 Jul →
office	11–13	-0.05	23%	10 Jul →
anubis	13–7	0.02	19%	9 Jul →
cache	11–13	-0.01	19%	9 Jul →
cache	13–8	0.06	27%	7 Jul →
mirage	8–13	-0.00	20%	7 Jul →
train	13–5	-0.05	28%	28 Jun →
nuke	13–5	0.02	43%	26 Jun →
train	10–13	0.06	27%	21 Jun →
train	8–13	0.01	29%	21 Jun →
anubis	14–16	0.01	18%	11 Jun →
mirage	13–9	0.01	19%	11 Jun →
mirage	13–8	0.02	17%	10 Jun →
anubis	8–13	-0.05	13%	10 Jun →
cache	5–13	-0.01	18%	8 Jun →
mirage	5–13	0.00	16%	7 Jun →
anubis	13–5	0.01	15%	7 Jun →
ancient	13–6	-0.01	13%	7 Jun →
anubis	9–13	-0.05	18%	6 Jun →
nuke	13–10	-0.01	34%	6 Jun →
anubis	9–13	-0.07	24%	23 May →
anubis	7–13	-0.03	11%	23 May →
mirage	13–1	0.09	11%	23 May →
mirage	13–9	-0.05	24%	22 May →
nuke	9–13	-0.02	14%	22 May →
nuke	13–3	0.00	11%	20 May →
mirage	10–13	-0.02	23%	20 May →
dust2	13–10	-0.03	18%	20 May →
ancient	15–15	0.01	14%	19 May →
mirage	11–13	0.06	15%	19 May →
nuke	9–13	0.00	10%	17 May →
mirage	13–8	0.06	18%	17 May →
anubis	8–13	-0.02	15%	15 May →
dust2	8–13	-0.06	23%	15 May →
dust2	13–9	0.01	19%	14 May →
mirage	16–14	-0.01	20%	14 May →
ancient	14–16	0.01	18%	13 May →
dust2	6–13	-0.06	7%	13 May →
anubis	8–13	-0.00	23%	13 May →
nuke	10–13	-0.04	16%	9 May →
mirage	2–13	0.03	27%	9 May →
ancient	9–13	-0.02	10%	8 May →
anubis	10–13	-0.05	5%	8 May →
mirage	13–9	0.07	26%	8 May →
ancient	13–5	-0.01	27%	8 May →
mirage	5–13	-0.06	15%	8 May →
nuke	13–9	-0.03	11%	7 May →
dust2	2–13	-0.07	28%	7 May →
nuke	13–10	0.01	31%	7 May →
nuke	13–7	-0.04	16%	7 May →
mirage	13–9	0.02	25%	7 May →
nuke	7–13	-0.03	12%	6 May →
mirage	15–15	-0.01	17%	6 May →
nuke	11–13	-0.02	14%	5 May →
ancient	13–11	-0.05	20%	5 May →
dust2	2–13	-0.11	25%	5 May →
anubis	13–5	0.00	11%	5 May →
anubis	7–13	0.05	16%	4 May →
ancient	10–13	0.04	25%	2 May →
mirage	13–5	0.01	21%	2 May →
mirage	10–13	0.01	18%	2 May →
anubis	13–4	-0.04	38%	1 May →
anubis	3–13	-0.06	20%	1 May →
nuke	14–16	0.01	16%	1 May →
anubis	13–7	0.04	20%	1 May →
nuke	7–13	-0.09	15%	1 May →
dust2	9–13	0.03	17%	30 Apr →
mirage	13–9	0.09	19%	30 Apr →
ancient	15–15	-0.02	22%	30 Apr →
mirage	13–7	0.03	26%	30 Apr →
ancient	3–13	-0.03	27%	29 Apr →
dust2	13–3	-0.02	30%	29 Apr →
mirage	5–13	-0.01	13%	29 Apr →
cache	13–3	0.04	21%	29 Apr →
cache	13–6	0.01	15%	29 Apr →
nuke	13–11	0.07	17%	28 Apr →
anubis	13–4	-0.02	21%	28 Apr →
mirage	16–13	-0.04	20%	26 Apr →
ancient	13–5	0.06	23%	26 Apr →
ancient	13–10	-0.03	13%	26 Apr →
ancient	10–13	-0.04	14%	25 Apr →
mirage	13–5	0.04	26%	25 Apr →
anubis	13–5	0.07	13%	25 Apr →
dust2	8–13	-0.00	24%	25 Apr →