Ryu — CS2 Stats

76561199394638842[U:1:1434373114]Steam profile ↗

2,113Tracked matches73%Win rate2022Tracked since

5,797Hours in CS65Hrs last 2 wks

CSDB Rating8.0 StrongEntry Fragger

FaceitLevel 10 · 2,452 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=3,007), 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	Level 10 median
Headshot rate	50.5%	52.0%
Shot accuracy	4.3%	13.7%
Kill/death ratio	1.19	1.08
Match win rate	49.5%	48.8%

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Performance scores

Aim93

Positioning76

Utility62

0–100 skill scores via Leetify.

Recent form

HOT65–35Last 10065%Win rateWWWWWWWWLL

Last 10 vs previous 10: +0pp win rate · +0.03 avg rating

Player DNA

Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.

Aim9.3

Aggression10.0

Utility6.2

Positioning7.6

Opening Duels6.3

Clutch3.6

Sharp aimer

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 s1mple 96% playstyle similarity

Most alike: opening-fight frequency, positioning 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

Strengths

Aim. Aim score of 93 — the mechanical foundation is a clear strength.

Areas to improve

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

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

Aim9.3

Positioning7.6

Utility6.2

Mechanics7.6

Opening Duels6.3

Win Impact10.0

Composite 8.0/10 (Strong), 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 rating0.04−0.01

first ⅓ avg 0.05 → last ⅓ avg 0.04

Reaction time501ms−60ms

first ⅓ avg 561ms → last ⅓ avg 501ms

Headshot accuracy26.7%−1.4%

first ⅓ avg 28.1% → last ⅓ avg 26.7%

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

0.20Best rating — mirage 13–5

13–0Biggest win — mirage

8Longest win streak

W8Current streak

14–7In matches decided by ≤2 rounds

13Overtime games

Map breakdown

ancientBest map · 82% over 17infernoWeakest map · 50% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	56	36–20	64%	0.05
ancient	S	17	14–3	82%	0.05
dust2	A	11	6–5	55%	0.04
cache	A	7	4–3	57%	0.05
inferno	B	6	3–3	50%	0.04
anubis	—	2	1–1	50%	0.03
train	—	1	1–0	100%	0.10

Across the last 100 tracked matches.

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

Lifetime stats

124,309Lifetime kills

1.19K/D · Top 50% of Level 10 players

4,174Matches

49.5%Match win rate · Top 50% of Level 10 players

50.5%Headshot %

4.3%Shot accuracy

21,874MVPs

2,223Hours (in match)

3,444Bombs planted

4,898Bombs defused

Most-used weapons

AK-4748,618

M4A4 / M4A1-S25,858

AWP16,852

Desert Eagle7,176

P2000 / USP-S5,267

Glock-183,371

Galil AR3,111

Knife2,656

MP91,749

FAMAS1,663

Lifetime map wins

9,837dust2

5,840inferno

2,953nuke

2,559vertigo

1,578train

82cbble

28office

14ar_shoots

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

Faceit stats

Combat

1,483Matches

52%Win rate

1.23Avg K/D

81.7ADR

47%Headshot %

Clutches & streaks

38%1v1 clutch win

22%1v2 clutch win

13Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	587	55%	1.24	17.7
Dust2	235	49%	1.13	15.5
Ancient	133	50%	1.28	18.4
Anubis	115	45%	1.15	17.0
Inferno	102	54%	1.28	16.7
Nuke	52	46%	1.14	16.2
Overpass	43	47%	1.37	16.6
Train	40	40%	1.09	16.8

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.

26.0%Headshot accuracy

40.2%Accuracy (enemy spotted)

43.8%Spray accuracy

84.1%Counter-strafing

9.9°Preaim

500msReaction time

51.3%T opening success

59.3%CT opening success

0.61Enemies flashed / flash

11.6%Flash assists

7.72HE damage / grenade

17.89Flashes / match

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–5	0.05	29%	22 Aug →
mirage	13–10	0.01	12%	22 Aug →
mirage	13–4	0.09	31%	22 Aug →
dust2	13–6	0.04	29%	21 Aug →
mirage	13–6	0.10	34%	21 Aug →
mirage	19–16	0.07	38%	21 Aug →
dust2	13–8	0.14	38%	20 Aug →
mirage	13–0	0.04	37%	20 Aug →
mirage	8–13	0.00	27%	20 Aug →
mirage	8–13	0.03	31%	19 Aug →
mirage	11–13	0.00	31%	19 Aug →
mirage	13–11	0.06	20%	19 Aug →
mirage	13–9	0.03	19%	19 Aug →
ancient	13–10	0.03	33%	18 Aug →
ancient	13–10	0.12	21%	18 Aug →
mirage	13–7	0.04	30%	18 Aug →
ancient	13–3	0.07	28%	18 Aug →
inferno	5–13	-0.05	30%	17 Aug →
ancient	13–8	0.01	22%	17 Aug →
cache	13–9	-0.01	23%	17 Aug →
mirage	13–11	-0.01	18%	16 Aug →
mirage	13–4	0.03	30%	16 Aug →
mirage	13–5	0.09	30%	16 Aug →
inferno	13–8	-0.01	24%	16 Aug →
mirage	13–9	0.05	19%	15 Aug →
anubis	11–13	0.08	23%	15 Aug →
mirage	8–13	0.01	18%	15 Aug →
mirage	12–16	-0.01	19%	15 Aug →
dust2	11–13	0.07	19%	14 Aug →
ancient	13–5	0.09	21%	13 Aug →
inferno	10–13	0.02	29%	12 Aug →
mirage	16–14	0.03	27%	12 Aug →
train	13–8	0.10	41%	12 Aug →
dust2	16–14	0.08	37%	12 Aug →
mirage	7–13	-0.01	18%	12 Aug →
ancient	13–10	0.02	21%	12 Aug →
mirage	9–13	-0.02	24%	12 Aug →
mirage	13–10	0.02	25%	11 Aug →
mirage	13–6	0.09	25%	11 Aug →
dust2	16–14	0.07	25%	10 Aug →
mirage	13–6	0.15	35%	10 Aug →
ancient	13–6	0.06	35%	10 Aug →
mirage	13–7	0.07	24%	9 Aug →
mirage	13–1	0.12	28%	9 Aug →
mirage	10–13	-0.00	24%	9 Aug →
mirage	6–13	-0.01	25%	9 Aug →
cache	13–11	0.07	23%	9 Aug →
ancient	18–22	-0.01	17%	9 Aug →
ancient	10–13	0.03	26%	8 Aug →
mirage	5–13	-0.02	34%	8 Aug →
mirage	13–8	0.10	24%	8 Aug →
inferno	13–11	0.10	28%	8 Aug →
dust2	13–11	0.02	27%	7 Aug →
cache	16–14	0.11	26%	7 Aug →
cache	6–13	0.01	23%	6 Aug →
cache	16–13	0.00	21%	6 Aug →
mirage	13–6	0.04	32%	6 Aug →
ancient	13–9	0.04	27%	5 Aug →
mirage	13–5	0.04	28%	5 Aug →
mirage	8–13	-0.00	25%	5 Aug →
mirage	9–5	0.11	23%	5 Aug →
mirage	8–13	0.04	29%	5 Aug →
mirage	7–13	-0.06	23%	5 Aug →
mirage	11–13	0.19	38%	5 Aug →
ancient	13–9	0.04	16%	5 Aug →
mirage	10–13	-0.01	30%	5 Aug →
mirage	13–11	0.10	28%	4 Aug →
ancient	16–14	0.10	30%	4 Aug →
mirage	13–5	0.20	32%	4 Aug →
mirage	13–2	0.14	22%	4 Aug →
mirage	13–7	0.05	20%	4 Aug →
inferno	12–16	0.02	40%	4 Aug →
mirage	16–12	0.06	34%	3 Aug →
cache	11–13	0.08	25%	2 Aug →
mirage	13–8	0.03	20%	2 Aug →
mirage	13–6	0.08	33%	2 Aug →
dust2	3–13	-0.03	21%	2 Aug →
mirage	13–7	0.01	33%	2 Aug →
dust2	5–13	-0.02	53%	2 Aug →
dust2	0–13	-0.05	31%	2 Aug →
inferno	13–3	0.13	24%	2 Aug →
anubis	16–13	-0.01	24%	2 Aug →
mirage	13–10	0.07	42%	2 Aug →
dust2	13–4	0.12	25%	2 Aug →
ancient	7–13	0.01	26%	2 Aug →
ancient	13–5	0.09	36%	1 Aug →
mirage	13–2	0.14	20%	1 Aug →
ancient	13–11	0.05	22%	1 Aug →
mirage	9–13	0.03	26%	1 Aug →
ancient	3–2	-0.06	17%	31 Jul →
mirage	13–8	-0.02	33%	31 Jul →
mirage	11–13	-0.04	23%	31 Jul →
mirage	9–13	0.10	33%	31 Jul →
mirage	13–8	0.08	18%	31 Jul →
mirage	15–19	0.08	31%	31 Jul →
mirage	13–7	0.12	34%	31 Jul →
cache	11–13	0.05	19%	31 Jul →
dust2	9–13	0.04	19%	31 Jul →
mirage	10–13	-0.04	29%	31 Jul →
ancient	13–11	0.07	35%	31 Jul →