Ryuzaki — CS2 Stats

GB76561198117474630[U:1:157208902]Steam profile ↗✓ No bans

209Tracked matches37%Win rate2022Tracked since

CSDB Rating1.0 Learning

FaceitLevel 1Top 100.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim4

Positioning15

Utility34

0–100 skill scores via Leetify.

Recent form

COLD35–55–10Last 10035%Win rateLLLLLLWTWL

Last 10 vs previous 10: -40pp win rate · -0.03 avg rating

Player DNA

Aim0.4

Aggression0.0

Utility3.4

Positioning1.5

Opening Duels0.0

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 50% playstyle similarity

Most alike: opening-duel success, utility contribution.

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

Areas to improve

Reaction time. 664ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 48% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim0.4

Positioning1.5

Utility3.4

Mechanics0.0

Opening Duels0.0

Win Impact0.7

Composite 1.0/10 (Learning), 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-0.10+0.00

first ⅓ avg -0.10 → last ⅓ avg -0.10

Reaction time655ms−31ms

first ⅓ avg 686ms → last ⅓ avg 655ms

Headshot accuracy10.7%−1.8%

first ⅓ avg 12.5% → last ⅓ avg 10.7%

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

-0.03Best rating — inferno 13–3

13–1Biggest win — ancient

5Longest win streak

L6Current streak

10–6In matches decided by ≤2 rounds

3Overtime games

Map breakdown

infernoBest map · 60% over 10mirageWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
cache	D	24	6–18	25%	-0.10
ancient	D	18	5–13	28%	-0.10
dust2	C	14	5–9	36%	-0.11
anubis	B	12	6–6	50%	-0.11
inferno	A	10	6–4	60%	-0.08
mirage	D	7	1–6	14%	-0.09
overpass	D	6	2–4	33%	-0.10
train	—	3	2–1	67%	-0.10
vertigo	—	2	0–2	0%	-0.11
office	—	2	1–1	50%	-0.11
stronghold	—	1	1–0	100%	-0.09
nuke	—	1	0–1	0%	-0.12

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

41Matches

20%Win rate

0.22Avg K/D

—ADR

40%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

2Longest win streak

Recent Faceit resultsLWLLL

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.

10.9%Headshot accuracy

17.4%Accuracy (enemy spotted)

18.5%Spray accuracy

48.2%Counter-strafing

11.8°Preaim

664msReaction time

10.9%T opening success

6.3%CT opening success

0.41Enemies flashed / flash

0.3%Flash assists

6.41HE damage / grenade

5.05Flashes / 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 10.8737% — below the 15% mark we flag
Aim Training →
Advanced Mechanics
Sustained sprays are missing more than they land, which is a recoil-control pattern you can drill directly.
Spray accuracy 18.5446% — below the 20% mark we flag
Practice Config →
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 0.4065 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Mirage

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	2–13	-0.13	11%	23 Jul →
cache	9–13	-0.13	0%	21 Jul →
mirage	6–13	-0.11	0%	21 Jul →
anubis	9–13	-0.11	10%	21 Jul →
anubis	7–13	-0.14	0%	13 Jul →
cache	7–13	-0.09	21%	12 Jul →
mirage	13–5	-0.05	18%	12 Jul →
vertigo	12–12	-0.12	17%	7 Jul →
stronghold	13–10	-0.09	9%	7 Jul →
cache	9–13	-0.13	5%	7 Jul →
inferno	16–12	-0.09	16%	5 Jul →
overpass	4–13	-0.10	14%	4 Jul →
inferno	5–13	-0.09	19%	4 Jul →
ancient	12–12	-0.06	10%	4 Jul →
dust2	8–13	-0.05	20%	4 Jul →
cache	13–4	-0.07	13%	4 Jul →
train	13–11	-0.13	22%	4 Jul →
train	13–5	-0.06	9%	29 Jun →
anubis	13–7	-0.11	7%	29 Jun →
dust2	13–7	-0.08	16%	29 Jun →
ancient	12–12	-0.09	5%	29 Jun →
nuke	10–13	-0.12	8%	26 Jun →
cache	11–13	-0.09	9%	26 Jun →
dust2	5–13	-0.09	14%	26 Jun →
ancient	2–13	-0.16	0%	26 Jun →
overpass	13–3	-0.10	8%	19 Jun →
cache	13–11	-0.08	23%	19 Jun →
dust2	9–13	-0.11	3%	19 Jun →
cache	9–13	-0.12	8%	12 Jun →
ancient	8–13	-0.13	8%	11 Jun →
cache	12–12	-0.12	7%	11 Jun →
cache	7–13	-0.11	13%	11 Jun →
ancient	16–14	-0.11	11%	11 Jun →
anubis	10–13	-0.07	14%	10 Jun →
inferno	13–11	-0.05	12%	10 Jun →
mirage	10–13	-0.07	0%	10 Jun →
cache	9–13	-0.07	6%	10 Jun →
cache	13–10	-0.10	5%	10 Jun →
overpass	16–14	-0.12	10%	9 Jun →
inferno	13–11	-0.08	7%	9 Jun →
cache	7–13	-0.12	0%	8 Jun →
overpass	4–13	-0.07	18%	7 Jun →
inferno	13–10	-0.10	14%	7 Jun →
cache	7–13	-0.13	21%	7 Jun →
ancient	6–13	-0.09	8%	28 May →
anubis	13–11	-0.09	24%	28 May →
cache	13–4	-0.10	9%	28 May →
ancient	11–13	-0.13	23%	28 May →
cache	11–13	-0.11	6%	27 May →
cache	10–13	-0.12	8%	27 May →
cache	5–13	-0.09	21%	27 May →
ancient	11–13	-0.10	9%	26 May →
cache	13–2	-0.06	23%	26 May →
cache	3–13	-0.10	0%	26 May →
cache	9–13	-0.08	11%	26 May →
ancient	8–13	-0.10	8%	21 May →
cache	12–12	-0.09	17%	18 May →
cache	13–11	-0.10	0%	18 May →
cache	10–13	-0.15	13%	18 May →
office	12–12	-0.10	9%	17 May →
mirage	8–13	-0.07	22%	17 May →
dust2	13–5	-0.07	11%	11 May →
train	10–13	-0.11	10%	6 Dec →
inferno	13–10	-0.10	13%	16 Nov →
overpass	10–13	-0.13	19%	15 Nov →
ancient	9–13	-0.09	20%	10 Sept →
anubis	13–11	-0.10	13%	7 Sept →
mirage	12–12	-0.07	18%	27 May →
vertigo	5–13	-0.10	8%	27 May →
anubis	9–13	-0.16	20%	15 Apr →
ancient	13–1	-0.05	12%	15 Apr →
anubis	13–7	-0.05	3%	22 Mar →
dust2	3–13	-0.15	9%	22 Mar →
ancient	13–8	-0.06	10%	20 Mar →
mirage	7–13	-0.15	3%	19 Mar →
dust2	0–13	-0.13	7%	19 Mar →
dust2	3–4	-0.08	33%	19 Mar →
anubis	12–12	-0.13	11%	19 Mar →
ancient	13–9	-0.12	15%	19 Mar →
dust2	5–13	-0.07	18%	13 Mar →
overpass	10–13	-0.10	11%	11 Mar →
mirage	11–13	-0.13	13%	8 Mar →
dust2	13–8	-0.15	12%	8 Mar →
inferno	12–12	-0.10	10%	8 Mar →
anubis	13–3	-0.09	9%	7 Mar →
ancient	8–13	-0.08	10%	7 Mar →
inferno	12–12	-0.06	3%	7 Mar →
anubis	13–8	-0.09	19%	5 Mar →
ancient	13–6	-0.07	10%	5 Mar →
office	13–7	-0.11	12%	4 Mar →
dust2	4–13	-0.11	18%	4 Mar →
dust2	13–4	-0.09	11%	4 Mar →
ancient	11–13	-0.12	14%	22 Feb →
ancient	10–13	-0.08	14%	21 Feb →
dust2	10–13	-0.11	4%	21 Feb →
dust2	2–13	-0.17	25%	20 Feb →
anubis	5–13	-0.13	0%	19 Feb →
inferno	10–13	-0.06	16%	19 Feb →
ancient	5–13	-0.14	19%	16 Feb →
inferno	13–3	-0.03	14%	16 Feb →