Tokyo — CS2 Stats

76561197967357137[U:1:7091409]Steam profile ↗✓ No bans

4,468Tracked matches66%Win rate2020Tracked since

CSDB Rating6.3 SolidAggressive Rifler

Premier CS Rating21,364Top 50% of 44,590 CSDB-tracked playersPink band · top ~7% of ranked players (population est.)

CSDB Leaderboard#17995 of 58975 tracked

FaceitLevel 7 · 1,501 ELOTop 42.3% of ranked FACEIT players

WingmanMaster Guardian II

Ladder ranks via Leetify

Rating over time

21,364Peak Premier on CSDB

1,501Peak Faceit ELO on CSDB

1Days observed since 2026-08-30

Faceit ELO

At peak — 1,501
Next: Level 8 at 1,531 — 30 to go
Reached: Level 7 · Level 6 · Level 5 · Level 4
Level 7 first seen 2026-08-30
Level 6 first seen 2026-08-30

Premier CS Rating

At peak — 21,364
Next: Red band at 25,000 — 3,636 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-08-30
Purple band first seen 2026-08-30

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

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Performance scores

Aim81

Positioning58

Utility31

0–100 skill scores via Leetify.

Recent form

HOT50–43–7Last 10050%Win rateWLWWWLWWWW

Last 10 vs previous 10: +30pp win rate · +0.03 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.1

Aggression8.5

Utility3.1

Positioning5.8

Opening Duels4.0

Clutch4.4

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 ropz 88% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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.

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

Aim8.1

Positioning5.8

Utility3.1

Mechanics5.0

Opening Duels4.0

Win Impact10.0

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.02

first ⅓ avg 0.00 → last ⅓ avg 0.03

Reaction time493ms−100ms

first ⅓ avg 593ms → last ⅓ avg 493ms

Headshot accuracy17.3%−2.8%

first ⅓ avg 20.2% → last ⅓ avg 17.3%

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

0.17Best rating — nuke 13–5

13–1Biggest win — nuke

7Longest win streak

7–8In matches decided by ≤2 rounds

16Overtime games

Map breakdown

ancientBest map · 69% over 16cacheWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	26	16–10	62%	0.02
inferno	C	20	7–13	35%	0.02
ancient	S	16	11–5	69%	0.02
dust2	B	16	8–8	50%	0.03
cache	D	9	3–6	33%	0.01
anubis	C	7	3–4	43%	0.02
mirage	D	6	2–4	33%	-0.00

Across the last 100 tracked matches.

Faceit stats

Combat

791Matches

51%Win rate

1.10Avg K/D

80.5ADR

37%Headshot %

Clutches & streaks

42%1v1 clutch win

24%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	37	49%	0.98	15.6
Ancient	33	52%	1.14	16.9
Inferno	28	54%	1.06	15.0
Nuke	27	70%	1.39	17.1
Dust2	24	50%	1.05	16.2
Vertigo	23	52%	1.05	16.0
Anubis	13	69%	1.08	16.9
Train	2	50%	0.52	9.0

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.

17.6%Headshot accuracy

39.3%Accuracy (enemy spotted)

40.2%Spray accuracy

72.7%Counter-strafing

9.3°Preaim

489msReaction time

40.2%T opening success

51.6%CT opening success

0.36Enemies flashed / flash

7.9%Flash assists

9.48HE damage / grenade

1.76Flashes / 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 0.3643 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Cache

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–10	-0.03	17%	30 Aug →
nuke	10–13	0.06	38%	30 Aug →
nuke	13–8	0.02	22%	28 Aug →
dust2	16–13	0.08	15%	27 Aug →
dust2	13–5	-0.00	44%	25 Aug →
mirage	13–16	0.01	10%	25 Aug →
inferno	13–2	0.05	21%	23 Aug →
nuke	13–5	0.09	22%	23 Aug →
ancient	13–6	0.03	10%	23 Aug →
cache	13–9	0.08	27%	22 Aug →
ancient	13–11	0.06	10%	22 Aug →
mirage	13–10	-0.02	11%	21 Aug →
inferno	16–12	0.09	21%	19 Aug →
dust2	9–13	-0.02	12%	19 Aug →
nuke	9–13	-0.05	22%	17 Aug →
inferno	7–13	0.02	16%	17 Aug →
dust2	6–13	-0.01	18%	17 Aug →
dust2	9–13	-0.06	11%	16 Aug →
ancient	13–7	0.07	33%	16 Aug →
ancient	13–8	0.03	6%	16 Aug →
ancient	13–6	0.03	11%	16 Aug →
inferno	15–15	0.06	9%	16 Aug →
ancient	13–4	0.11	17%	15 Aug →
nuke	13–4	0.04	6%	15 Aug →
inferno	4–13	0.07	13%	15 Aug →
dust2	6–13	-0.04	9%	15 Aug →
mirage	14–16	-0.00	28%	14 Aug →
nuke	13–6	0.03	14%	14 Aug →
ancient	13–9	0.03	18%	12 Aug →
nuke	7–0	0.01	23%	12 Aug →
cache	10–13	0.01	12%	12 Aug →
dust2	15–15	0.04	14%	12 Aug →
anubis	11–13	-0.00	12%	11 Aug →
dust2	13–2	0.11	44%	11 Aug →
ancient	13–5	0.06	5%	10 Aug →
inferno	16–13	0.10	12%	10 Aug →
inferno	8–8	0.02	10%	10 Aug →
dust2	13–9	0.13	17%	10 Aug →
nuke	13–7	0.10	29%	9 Aug →
nuke	13–8	0.05	9%	9 Aug →
inferno	12–16	-0.01	19%	9 Aug →
anubis	11–13	-0.01	17%	9 Aug →
cache	8–13	-0.04	22%	9 Aug →
inferno	8–13	-0.03	10%	7 Aug →
inferno	8–11	0.08	24%	6 Aug →
ancient	14–16	0.05	15%	6 Aug →
ancient	8–13	-0.01	16%	2 Aug →
cache	13–5	0.08	14%	2 Aug →
inferno	16–14	0.03	13%	2 Aug →
dust2	11–13	0.02	28%	2 Aug →
inferno	8–13	-0.08	7%	31 Jul →
cache	6–13	-0.03	22%	31 Jul →
nuke	13–7	0.04	18%	31 Jul →
anubis	5–13	-0.07	22%	30 Jul →
nuke	13–5	0.17	26%	28 Jul →
nuke	9–13	-0.03	15%	27 Jul →
nuke	13–1	0.14	10%	26 Jul →
mirage	9–2	0.05	14%	26 Jul →
nuke	1–13	-0.09	17%	26 Jul →
nuke	13–7	0.04	6%	26 Jul →
nuke	13–11	0.03	16%	26 Jul →
nuke	7–13	0.03	24%	25 Jul →
anubis	13–11	0.04	14%	25 Jul →
nuke	5–13	-0.08	16%	25 Jul →
dust2	13–8	-0.01	26%	25 Jul →
ancient	13–8	0.01	10%	25 Jul →
dust2	16–12	0.12	12%	24 Jul →
anubis	13–7	0.14	29%	24 Jul →
ancient	15–15	0.02	23%	23 Jul →
nuke	14–16	-0.02	9%	23 Jul →
nuke	13–10	-0.00	16%	22 Jul →
dust2	15–15	-0.02	22%	22 Jul →
inferno	12–12	-0.02	19%	21 Jul →
nuke	13–9	0.04	19%	21 Jul →
nuke	4–13	-0.06	10%	20 Jul →
dust2	13–11	0.05	18%	20 Jul →
anubis	13–2	0.03	14%	20 Jul →
mirage	9–13	0.02	23%	20 Jul →
dust2	9–13	0.07	16%	19 Jul →
nuke	13–6	0.02	10%	19 Jul →
inferno	6–13	-0.08	18%	19 Jul →
mirage	4–13	-0.06	23%	19 Jul →
inferno	13–11	0.07	18%	18 Jul →
nuke	11–13	0.02	25%	18 Jul →
ancient	9–13	0.03	20%	18 Jul →
inferno	7–13	-0.03	28%	18 Jul →
inferno	4–9	-0.06	14%	17 Jul →
nuke	12–12	-0.04	19%	17 Jul →
inferno	13–11	0.06	26%	15 Jul →
inferno	13–7	-0.00	20%	15 Jul →
ancient	13–2	-0.01	32%	14 Jul →
cache	10–13	0.05	24%	14 Jul →
anubis	11–13	0.04	25%	14 Jul →
dust2	13–8	0.02	18%	13 Jul →
cache	13–3	-0.04	20%	13 Jul →
cache	12–16	0.00	15%	12 Jul →
nuke	13–10	0.04	25%	12 Jul →
ancient	5–13	-0.09	19%	12 Jul →
inferno	12–16	-0.01	20%	12 Jul →
cache	4–13	-0.02	29%	12 Jul →