Blazedonayak — CS2 Stats

76561198117133184[U:1:156867456]VAC banned

896Tracked matches52%Win rate2022Tracked since

980Hours in CS1Hrs last 2 wks

CSDB Rating5.3 Developing

Premier CS Rating15,286Purple band · top ~27.3% of ranked players (population est.)

Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=201), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Pink band median	vs Pink band
Headshot rate	49.3%	48.1%	above
Shot accuracy	8.2%	12.9%	4.7% short
Kill/death ratio	0.93	1.08	0.15 short
Match win rate	33.7%	46.5%	12.8% short

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim52

Positioning58

Utility55

0–100 skill scores via Leetify.

Recent form

COLD55–39–6Last 10055%Win rateLLWLWLLLLW

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

Aim5.2

Aggression8.1

Utility5.5

Positioning5.8

Opening Duels2.8

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 b1t 87% playstyle similarity

Most alike: opening-duel success, 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 49% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 637ms 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

Aim5.2

Positioning5.8

Utility5.5

Mechanics5.9

Opening Duels2.8

Win Impact5.6

Composite 5.3/10 (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-0.01−0.02

first ⅓ avg 0.00 → last ⅓ avg -0.01

Reaction time645ms+26ms

first ⅓ avg 619ms → last ⅓ avg 645ms

Headshot accuracy15.3%−4.0%

first ⅓ avg 19.3% → last ⅓ avg 15.3%

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

0.12Best rating — dust2 9–1

13–1Biggest win — dust2

8Longest win streak

L2Current streak

9–5In matches decided by ≤2 rounds

7Overtime games

Map breakdown

infernoBest map · 83% over 12dust2Weakest map · 50% over 56

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	56	28–28	50%	-0.00
cache	B	12	6–6	50%	-0.02
inferno	S	12	10–2	83%	-0.01
nuke	B	8	4–4	50%	-0.01
ancient	B	6	3–3	50%	0.01
train	—	3	3–0	100%	0.04
mirage	—	1	0–1	0%	-0.06
anubis	—	1	0–1	0%	-0.07
office	—	1	1–0	100%	-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (50% over 56). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

32,017Lifetime kills

0.93K/D

1,746Matches

33.7%Match win rate

49.3%Headshot % · Top 50% of tracked players

8.2%Shot accuracy

2,746MVPs

596Hours (in match)

1,303Bombs planted

221Bombs defused

Most-used weapons

AK-4714,822

M4A4 / M4A1-S4,799

P2000 / USP-S1,740

Desert Eagle1,706

AWP1,565

Glock-181,212

MP9886

MAC-10836

SSG 08799

MP7363

Lifetime map wins

5,154dust2

1,037inferno

775nuke

554train

58cbble

41vertigo

31lake

30office

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

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

16.0%Headshot accuracy

31.3%Accuracy (enemy spotted)

31.9%Spray accuracy

76.6%Counter-strafing

9.3°Preaim

637msReaction time

33.5%T opening success

49.1%CT opening success

0.54Enemies flashed / flash

4.4%Flash assists

9.99HE damage / grenade

9.70Flashes / 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.

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 33.5057% — below the 40% mark we flag

Recent matches

Map	Score	Rating	HS%	Date
dust2	3–13	-0.06	21%	10 Aug →
nuke	10–13	-0.05	8%	10 Aug →
dust2	16–13	0.07	15%	9 Aug →
dust2	7–13	-0.02	16%	9 Aug →
cache	13–8	-0.00	11%	9 Aug →
nuke	0–4	-0.03	0%	8 Aug →
dust2	10–13	-0.01	23%	8 Aug →
mirage	4–8	-0.06	0%	7 Aug →
dust2	7–9	-0.11	13%	3 Aug →
dust2	13–8	-0.01	17%	2 Aug →
dust2	13–7	0.03	27%	2 Aug →
dust2	9–1	0.12	8%	2 Aug →
cache	9–13	-0.03	15%	1 Aug →
dust2	15–15	-0.06	18%	1 Aug →
dust2	9–13	-0.06	7%	1 Aug →
dust2	4–13	-0.07	13%	26 Jul →
inferno	13–10	-0.06	9%	26 Jul →
dust2	3–13	-0.06	20%	25 Jul →
dust2	13–6	-0.06	18%	23 Jul →
dust2	13–7	0.03	28%	23 Jul →
dust2	5–13	-0.06	8%	23 Jul →
dust2	13–9	0.01	16%	23 Jul →
dust2	2–9	0.01	17%	20 Jul →
inferno	8–13	-0.01	20%	19 Jul →
cache	13–11	0.00	17%	19 Jul →
nuke	13–10	0.02	18%	19 Jul →
dust2	13–4	0.04	26%	19 Jul →
dust2	13–1	-0.04	15%	19 Jul →
dust2	13–6	0.10	13%	19 Jul →
dust2	13–6	0.01	19%	19 Jul →
inferno	13–8	0.02	17%	19 Jul →
cache	12–12	-0.02	10%	19 Jul →
inferno	13–9	0.02	21%	19 Jul →
nuke	14–16	-0.02	16%	18 Jul →
ancient	2–13	-0.07	10%	18 Jul →
inferno	16–12	-0.05	16%	18 Jul →
inferno	13–11	-0.01	20%	18 Jul →
nuke	13–10	0.03	11%	18 Jul →
nuke	13–9	0.02	14%	18 Jul →
dust2	6–0	-0.02	17%	18 Jul →
nuke	13–2	0.01	20%	18 Jul →
inferno	13–10	0.03	9%	18 Jul →
ancient	16–14	0.07	19%	18 Jul →
nuke	13–16	-0.03	23%	13 Jul →
ancient	13–11	-0.01	6%	12 Jul →
dust2	13–6	-0.03	14%	12 Jul →
dust2	13–3	0.02	13%	12 Jul →
ancient	13–2	0.09	14%	12 Jul →
ancient	10–13	-0.01	18%	12 Jul →
cache	5–13	-0.08	24%	12 Jul →
dust2	10–13	-0.01	19%	12 Jul →
inferno	13–10	0.05	16%	12 Jul →
inferno	13–10	0.02	23%	12 Jul →
anubis	4–13	-0.07	8%	12 Jul →
dust2	13–4	0.04	28%	12 Jul →
dust2	11–13	-0.04	21%	9 Jul →
dust2	3–13	-0.05	13%	9 Jul →
dust2	15–15	-0.03	16%	9 Jul →
inferno	13–7	-0.03	29%	9 Jul →
dust2	13–3	0.01	13%	9 Jul →
cache	4–13	-0.05	9%	5 Jul →
ancient	0–3	0.02	33%	5 Jul →
dust2	10–13	-0.01	7%	28 Jun →
dust2	13–4	0.01	28%	28 Jun →
cache	13–11	0.03	20%	28 Jun →
cache	4–10	-0.11	11%	26 Jun →
train	13–8	-0.00	21%	25 Jun →
inferno	3–13	-0.10	10%	25 Jun →
dust2	12–12	-0.02	18%	22 Jun →
dust2	13–1	0.02	22%	21 Jun →
inferno	13–8	0.01	16%	19 Jun →
train	13–4	0.06	28%	14 Jun →
dust2	10–13	0.01	18%	14 Jun →
dust2	13–6	0.12	13%	14 Jun →
dust2	12–12	0.03	23%	14 Jun →
dust2	10–13	-0.08	13%	13 Jun →
dust2	13–7	0.01	18%	31 May →
dust2	13–11	0.02	19%	31 May →
dust2	10–13	0.02	40%	30 May →
dust2	8–13	-0.03	18%	29 May →
dust2	13–7	0.00	26%	28 May →
dust2	9–13	-0.03	27%	28 May →
dust2	12–12	0.08	22%	16 May →
dust2	13–7	0.02	32%	16 May →
office	13–11	-0.01	17%	16 May →
cache	13–8	-0.03	11%	16 May →
dust2	13–11	-0.04	15%	16 May →
cache	6–13	-0.07	17%	4 May →
dust2	13–10	-0.01	12%	4 May →
dust2	13–11	0.04	23%	3 May →
dust2	13–2	-0.00	30%	3 May →
cache	13–10	0.02	11%	3 May →
cache	13–6	0.06	11%	3 May →
dust2	6–13	-0.02	17%	26 Apr →
train	13–4	0.05	17%	26 Apr →
dust2	7–13	-0.03	18%	26 Apr →
dust2	10–13	0.00	28%	25 Apr →
dust2	6–7	0.06	31%	19 Apr →
dust2	8–8	-0.08	14%	19 Apr →
dust2	13–3	0.07	5%	18 Apr →