Raydazz — CS2 Stats

MY76561198365921906[U:1:405656178]Steam profile ↗✓ No bans

224Tracked matches63%Win rate2025Tracked since

CSDB Rating5.0 DevelopingHybrid Rifler

Premier CS Rating8,041Light Blue band · top ~64.3% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim64

Positioning51

Utility31

0–100 skill scores via Leetify.

Recent form

HOT58–40–2Last 10058%Win rateLLWWWWWWWL

Last 10 vs previous 10: +10pp win rate · -0.04 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.4

Aggression6.3

Utility3.1

Positioning5.1

Opening Duels2.4

Clutch6.0

Limited utility dependence

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 86% playstyle similarity

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

Where you differ: lower utility contribution; 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

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

Reaction time. 597ms 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

Aim6.4

Positioning5.1

Utility3.1

Mechanics6.5

Opening Duels2.4

Win Impact9.4

Composite 5.0/10 (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 rating0.02−0.02

first ⅓ avg 0.04 → last ⅓ avg 0.02

Reaction time605ms−78ms

first ⅓ avg 683ms → last ⅓ avg 605ms

Headshot accuracy12.2%+0.6%

first ⅓ avg 11.6% → last ⅓ avg 12.2%

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

0.17Best rating — dust2 13–9

13–0Biggest win — nuke

8Longest win streak

L2Current streak

7–9In matches decided by ≤2 rounds

7Overtime games

Map breakdown

dust2Best map · 68% over 40anubisWeakest map · 40% over 10

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	40	27–13	68%	0.03
mirage	A	18	10–8	56%	0.01
ancient	B	13	6–7	46%	0.02
anubis	C	10	4–6	40%	0.04
cache	S	6	4–2	67%	0.02
nuke	A	5	3–2	60%	0.02
inferno	—	4	2–2	50%	0.03
train	—	3	2–1	67%	0.05
italy	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4Matches

75%Win rate

1.12Avg K/D

88.3ADR

26%Headshot %

Clutches & streaks

50%1v1 clutch win

14%1v2 clutch win

2Longest win streak

Recent Faceit resultsLWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	2	100%	1.34	21.0
Dust2	2	50%	0.91	14.5

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.

12.4%Headshot accuracy

39.2%Accuracy (enemy spotted)

38.6%Spray accuracy

79.4%Counter-strafing

11.3°Preaim

597msReaction time

40.6%T opening success

38.4%CT opening success

0.37Enemies flashed / flash

4.6%Flash assists

5.77HE damage / grenade

4.02Flashes / 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 12.3921% — below the 15% mark we flag
Aim Training →
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 0.3747 — below the 0.5 mark we flag
Grenade Lineups →
Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 38.4095% — below the 40% mark we flag

Spend your practice time on Anubis

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

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	12–16	-0.05	8%	27 Aug →
nuke	9–13	-0.01	14%	27 Aug →
dust2	13–5	0.02	16%	27 Aug →
mirage	13–9	-0.02	9%	27 Aug →
dust2	13–1	0.02	5%	26 Aug →
cache	13–8	0.06	13%	26 Aug →
cache	10–3	0.03	18%	26 Aug →
cache	13–8	0.03	9%	26 Aug →
cache	13–8	0.02	11%	26 Aug →
dust2	11–13	-0.01	23%	26 Aug →
dust2	13–9	0.17	11%	24 Aug →
italy	1–13	-0.01	6%	23 Aug →
mirage	13–6	0.12	12%	23 Aug →
dust2	13–7	0.01	18%	23 Aug →
ancient	11–13	0.00	13%	23 Aug →
anubis	13–3	0.16	11%	23 Aug →
dust2	13–6	0.07	13%	23 Aug →
mirage	13–8	-0.06	8%	22 Aug →
dust2	11–13	0.06	14%	21 Aug →
anubis	12–16	0.00	10%	21 Aug →
mirage	11–13	0.02	12%	21 Aug →
ancient	9–13	-0.06	14%	20 Aug →
mirage	3–13	0.00	14%	20 Aug →
ancient	13–11	0.04	7%	18 Aug →
dust2	6–13	-0.03	10%	18 Aug →
dust2	13–4	-0.04	10%	18 Aug →
dust2	13–10	0.05	17%	18 Aug →
nuke	13–9	-0.03	21%	18 Aug →
mirage	13–3	0.08	17%	18 Aug →
dust2	13–7	0.03	7%	17 Aug →
dust2	12–12	-0.05	14%	17 Aug →
mirage	13–1	-0.04	9%	17 Aug →
dust2	8–13	0.06	10%	16 Aug →
mirage	10–13	-0.04	14%	16 Aug →
train	13–9	0.01	12%	12 Aug →
dust2	12–2	0.00	19%	12 Aug →
train	13–4	0.12	23%	12 Aug →
mirage	6–2	0.09	33%	12 Aug →
train	7–13	0.03	9%	12 Aug →
dust2	6–13	0.01	16%	12 Aug →
dust2	12–12	0.05	12%	12 Aug →
cache	2–13	-0.02	15%	12 Aug →
dust2	13–5	0.03	9%	11 Aug →
cache	9–13	0.01	12%	6 Aug →
dust2	5–13	-0.02	19%	6 Aug →
dust2	16–13	-0.01	14%	6 Aug →
dust2	13–7	0.07	20%	5 Aug →
anubis	7–13	0.04	10%	5 Aug →
ancient	7–13	0.06	11%	5 Aug →
ancient	13–2	0.07	12%	5 Aug →
mirage	13–11	-0.01	10%	5 Aug →
dust2	13–5	-0.01	10%	5 Aug →
dust2	13–7	0.01	14%	5 Aug →
ancient	14–16	-0.01	9%	4 Aug →
ancient	13–5	0.01	13%	4 Aug →
nuke	13–0	0.12	14%	3 Aug →
dust2	13–10	-0.03	15%	3 Aug →
inferno	7–13	0.08	14%	2 Aug →
dust2	13–6	0.05	9%	2 Aug →
nuke	13–11	0.08	16%	2 Aug →
mirage	10–13	0.04	8%	2 Aug →
anubis	3–13	-0.08	14%	31 Jul →
mirage	10–13	-0.05	8%	30 Jul →
inferno	13–16	-0.03	11%	29 Jul →
anubis	6–13	-0.03	13%	29 Jul →
ancient	10–13	-0.03	10%	28 Jul →
dust2	13–6	0.00	11%	28 Jul →
dust2	13–5	0.15	29%	28 Jul →
dust2	6–13	0.03	21%	28 Jul →
inferno	13–9	0.05	7%	28 Jul →
nuke	8–13	-0.05	9%	28 Jul →
dust2	13–1	0.11	20%	28 Jul →
dust2	13–11	0.09	17%	27 Jul →
dust2	13–7	0.04	14%	27 Jul →
ancient	13–11	-0.05	11%	27 Jul →
mirage	13–8	0.02	6%	27 Jul →
dust2	13–6	0.11	12%	27 Jul →
dust2	5–13	-0.03	8%	26 Jul →
inferno	13–5	0.02	9%	26 Jul →
anubis	16–14	-0.01	7%	25 Jul →
mirage	13–3	0.06	7%	24 Jul →
dust2	13–4	0.07	13%	24 Jul →
mirage	16–13	0.08	9%	24 Jul →
ancient	13–11	0.04	12%	24 Jul →
dust2	13–8	0.01	17%	24 Jul →
dust2	13–8	0.05	9%	24 Jul →
ancient	7–13	0.03	7%	23 Jul →
mirage	11–13	-0.03	9%	22 Jul →
dust2	5–13	-0.03	9%	22 Jul →
mirage	11–13	0.03	7%	22 Jul →
anubis	13–0	0.11	8%	21 Jul →
dust2	10–2	-0.02	11%	21 Jul →
ancient	4–0	0.17	10%	21 Jul →
mirage	6–13	-0.03	13%	21 Jul →
anubis	7–13	0.09	13%	21 Jul →
dust2	11–13	0.02	14%	21 Jul →
anubis	13–3	0.12	9%	21 Jul →
dust2	11–13	0.04	15%	21 Jul →
ancient	8–13	-0.01	10%	21 Jul →
dust2	13–10	0.04	11%	21 Jul →