Beautiful — CS2 Stats

76561198045117787[U:1:84852059]✓ No bans

1,005Tracked matches41%Win rate2020Tracked since

CSDB Rating3.4 Learning

Premier CS Rating13,749Blue band · top ~35% of ranked players (population est.)

FaceitLevel 3Top 90.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim30

Positioning41

Utility47

0–100 skill scores via Leetify.

Recent form

STEADY43–43–14Last 10043%Win rateWWLWWWLLTL

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating

Player DNA

Aim3.0

Aggression5.0

Utility4.7

Positioning4.1

Opening Duels2.4

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 79% playstyle similarity

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

Where you differ: lower positioning profile; 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. 690ms 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

Aim3.0

Positioning4.1

Utility4.7

Mechanics4.9

Opening Duels2.4

Win Impact1.9

Composite 3.4/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.02

first ⅓ avg -0.00 → last ⅓ avg -0.02

Reaction time678ms+29ms

first ⅓ avg 649ms → last ⅓ avg 678ms

Headshot accuracy16.2%−0.8%

first ⅓ avg 17.0% → last ⅓ avg 16.2%

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

0.11Best rating — dust2 13–4

13–0Biggest win — dust2

5Longest win streak

W2Current streak

5–6In matches decided by ≤2 rounds

Map breakdown

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	97	41–56	42%	-0.02
cache	—	2	1–1	50%	0.03
anubis	—	1	1–0	100%	0.00

Across the last 100 tracked matches.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

15.5%Headshot accuracy

27.5%Accuracy (enemy spotted)

28.1%Spray accuracy

72.0%Counter-strafing

10.7°Preaim

690msReaction time

34.5%T opening success

44.6%CT opening success

0.43Enemies flashed / flash

14.2%Flash assists

18.24HE damage / grenade

2.65Flashes / 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 0.4343 — 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 34.4517% — below the 40% mark we flag

Recent matches

Map	Score	Rating	HS%	Date
cache	13–5	-0.04	9%	29 Aug →
anubis	13–11	0.00	24%	29 Aug →
cache	9–13	0.10	16%	28 Aug →
dust2	13–9	0.02	14%	18 Aug →
dust2	13–4	-0.04	15%	17 Aug →
dust2	13–3	-0.06	17%	15 Aug →
dust2	9–13	-0.01	16%	15 Aug →
dust2	6–13	-0.04	14%	15 Aug →
dust2	12–12	-0.03	14%	13 Aug →
dust2	11–13	0.07	12%	9 Aug →
dust2	7–13	-0.06	17%	9 Aug →
dust2	3–13	-0.06	14%	9 Aug →
dust2	9–13	-0.05	10%	8 Aug →
dust2	7–0	0.01	21%	8 Aug →
dust2	1–9	-0.01	14%	8 Aug →
dust2	13–10	0.02	19%	7 Aug →
dust2	5–13	-0.05	29%	6 Aug →
dust2	7–13	-0.01	15%	6 Aug →
dust2	11–13	-0.06	13%	1 Aug →
dust2	13–11	-0.02	8%	1 Aug →
dust2	10–13	0.01	22%	30 Jul →
dust2	13–8	-0.07	19%	27 Jul →
dust2	9–13	0.03	11%	27 Jul →
dust2	4–13	-0.08	19%	27 Jul →
dust2	12–12	-0.06	18%	26 Jul →
dust2	13–7	0.01	16%	25 Jul →
dust2	11–13	-0.04	6%	25 Jul →
dust2	13–3	-0.00	19%	25 Jul →
dust2	12–12	-0.01	16%	25 Jul →
dust2	5–13	-0.07	16%	25 Jul →
dust2	6–13	-0.05	28%	25 Jul →
dust2	9–13	-0.04	17%	25 Jul →
dust2	13–5	-0.06	17%	24 Jul →
dust2	13–2	-0.05	14%	24 Jul →
dust2	12–12	-0.09	8%	23 Jul →
dust2	13–6	0.01	21%	23 Jul →
dust2	10–13	0.02	13%	23 Jul →
dust2	13–6	0.07	18%	23 Jul →
dust2	13–3	-0.02	19%	23 Jul →
dust2	13–10	0.02	21%	23 Jul →
dust2	11–13	-0.00	23%	22 Jul →
dust2	6–13	-0.03	16%	22 Jul →
dust2	13–4	0.08	14%	22 Jul →
dust2	12–12	-0.09	22%	22 Jul →
dust2	13–4	0.11	18%	21 Jul →
dust2	13–8	0.04	11%	21 Jul →
dust2	10–13	-0.07	5%	21 Jul →
dust2	10–13	-0.05	9%	20 Jul →
dust2	13–8	-0.04	12%	20 Jul →
dust2	7–13	-0.08	15%	20 Jul →
dust2	12–12	-0.03	12%	20 Jul →
dust2	10–13	-0.05	5%	20 Jul →
dust2	6–13	0.01	8%	19 Jul →
dust2	11–13	-0.03	14%	19 Jul →
dust2	9–13	-0.04	10%	19 Jul →
dust2	13–6	-0.01	26%	19 Jul →
dust2	13–5	-0.05	13%	18 Jul →
dust2	13–7	-0.01	16%	17 Jul →
dust2	6–13	-0.01	12%	17 Jul →
dust2	12–12	-0.02	14%	17 Jul →
dust2	12–12	-0.01	15%	16 Jul →
dust2	5–13	-0.03	12%	16 Jul →
dust2	13–11	-0.02	16%	16 Jul →
dust2	8–13	-0.04	9%	16 Jul →
dust2	10–13	-0.06	21%	15 Jul →
dust2	7–13	-0.05	9%	15 Jul →
dust2	6–13	-0.11	33%	15 Jul →
dust2	13–10	-0.01	23%	15 Jul →
dust2	13–11	-0.02	27%	14 Jul →
dust2	12–12	-0.01	13%	14 Jul →
dust2	13–10	0.02	12%	13 Jul →
dust2	13–11	-0.02	19%	13 Jul →
dust2	13–6	-0.04	28%	12 Jul →
dust2	13–0	0.06	12%	12 Jul →
dust2	13–8	0.01	19%	12 Jul →
dust2	1–13	-0.11	9%	12 Jul →
dust2	6–13	-0.02	15%	12 Jul →
dust2	13–10	-0.02	21%	11 Jul →
dust2	11–13	-0.03	22%	11 Jul →
dust2	13–4	0.03	13%	11 Jul →
dust2	12–12	0.03	17%	11 Jul →
dust2	4–13	0.03	20%	11 Jul →
dust2	13–10	0.07	22%	10 Jul →
dust2	12–12	0.04	19%	10 Jul →
dust2	13–10	0.00	11%	9 Jul →
dust2	12–12	-0.08	21%	9 Jul →
dust2	9–13	-0.02	10%	8 Jul →
dust2	13–8	0.00	27%	7 Jul →
dust2	10–13	-0.02	19%	2 Jul →
dust2	12–12	0.02	13%	1 Jul →
dust2	13–5	0.08	9%	1 Jul →
dust2	3–13	-0.03	16%	1 Jul →
dust2	9–13	-0.03	13%	1 Jul →
dust2	13–9	-0.02	21%	1 Jul →
dust2	13–5	0.04	14%	1 Jul →
dust2	12–12	0.05	16%	1 Jul →
dust2	0–5	-0.04	9%	30 Jun →
dust2	13–7	-0.05	22%	30 Jun →
dust2	13–10	-0.01	13%	27 Jun →
dust2	13–9	-0.03	19%	26 Jun →