rubaiyacht — CS2 Stats

76561199503678783[U:1:1543413055]

1,466Tracked matches44%Win rate2023Tracked since

CSDB Rating6.6 SolidAggressive Rifler

Premier CS Rating23,017Top 50% of 819 CSDB-tracked playersPink band · top ~5.2% of ranked players (population est.)

FaceitLevel 8Top 31.2% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim84

Positioning71

Utility43

0–100 skill scores via Leetify.

Recent form

COLD38–51–11Last 10038%Win rateTWWTLWLLLL

Last 10 vs previous 10: -10pp win rate · +0.00 avg rating

Player DNA

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

Aim8.4

Aggression10.0

Utility4.3

Positioning7.1

Opening Duels5.6

Clutch6.2

Strong CT-side opener

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 sh1ro 92% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: 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

Strengths

CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

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

T-side openings. Opening success drops from 63% on CT to 42% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.4

Positioning7.1

Utility4.3

Mechanics7.0

Opening Duels5.6

Win Impact3.0

Composite 6.6/10 (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 rating0.04−0.00

first ⅓ avg 0.04 → last ⅓ avg 0.04

Reaction time549ms−44ms

first ⅓ avg 593ms → last ⅓ avg 549ms

Headshot accuracy19.8%+2.9%

first ⅓ avg 17.0% → last ⅓ avg 19.8%

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 — nuke 13–7

13–0Biggest win — anubis

4Longest win streak

7–3In matches decided by ≤2 rounds

9Overtime games

Map breakdown

shelterBest map · 50% over 6mirageWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
cache	C	19	8–11	42%	0.04
nuke	C	17	7–10	41%	0.05
ancient	D	16	4–12	25%	0.01
anubis	C	12	5–7	42%	0.03
office	D	8	2–6	25%	0.04
shelter	B	6	3–3	50%	0.07
overpass	D	6	2–4	33%	0.02
mirage	D	5	1–4	20%	0.04
boulder	C	5	2–3	40%	0.06
italy	—	1	1–0	100%	0.03
fachwerk	—	1	1–0	100%	0.10
dust2	—	1	0–1	0%	-0.00
vertigo	—	1	1–0	100%	0.08
inferno	—	1	0–1	0%	0.05
alpine	—	1	1–0	100%	0.10

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

238Matches

55%Win rate

1.35Avg K/D

91.4ADR

44%Headshot %

Clutches & streaks

51%1v1 clutch win

33%1v2 clutch win

12Longest win streak

Recent Faceit resultsLLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	58	52%	1.42	18.9
Vertigo	34	65%	1.42	19.6
Nuke	32	47%	1.27	20.3
Ancient	31	61%	1.39	18.6
Mirage	25	40%	1.12	17.4
Inferno	10	70%	1.40	17.1
Overpass	8	88%	1.34	16.3
Train	4	50%	1.57	22.5

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.

19.7%Headshot accuracy

36.5%Accuracy (enemy spotted)

40.8%Spray accuracy

81.4%Counter-strafing

8.4°Preaim

545msReaction time

41.6%T opening success

63.4%CT opening success

0.44Enemies flashed / flash

4.7%Flash assists

8.14HE damage / grenade

6.67Flashes / 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 0.4409 — 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.

20% win rate across 5 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	15–15	0.04	20%	28 Aug →
anubis	13–6	0.05	15%	27 Aug →
shelter	8–1	0.01	19%	26 Aug →
nuke	12–12	0.12	18%	26 Aug →
ancient	10–13	-0.01	15%	25 Aug →
mirage	13–8	0.03	20%	25 Aug →
office	8–13	-0.01	31%	25 Aug →
cache	5–13	0.03	27%	24 Aug →
nuke	9–13	0.03	19%	20 Aug →
mirage	1–13	0.04	26%	20 Aug →
ancient	13–10	0.04	9%	20 Aug →
cache	5–13	0.09	23%	17 Aug →
ancient	9–13	-0.04	17%	17 Aug →
nuke	15–15	0.07	17%	17 Aug →
anubis	13–0	0.15	28%	17 Aug →
cache	8–13	-0.06	13%	16 Aug →
ancient	7–13	-0.00	23%	15 Aug →
anubis	5–13	-0.04	11%	14 Aug →
nuke	13–11	-0.00	21%	13 Aug →
cache	13–2	0.09	17%	13 Aug →
office	13–5	0.07	21%	13 Aug →
shelter	12–12	0.13	26%	8 Aug →
italy	13–8	0.03	13%	8 Aug →
nuke	13–10	0.01	26%	7 Aug →
fachwerk	13–8	0.10	17%	4 Aug →
boulder	11–13	0.05	14%	4 Aug →
office	11–13	-0.02	17%	2 Aug →
office	8–13	0.01	29%	2 Aug →
nuke	6–13	-0.04	28%	1 Aug →
nuke	12–12	0.07	18%	31 Jul →
mirage	12–12	0.07	18%	31 Jul →
office	9–13	0.01	17%	31 Jul →
nuke	16–14	0.11	20%	29 Jul →
cache	16–12	0.07	21%	28 Jul →
boulder	13–3	0.08	17%	21 Jul →
mirage	5–13	-0.01	18%	20 Jul →
shelter	13–6	0.09	16%	18 Jul →
shelter	12–12	0.07	10%	16 Jul →
boulder	10–13	0.04	18%	16 Jul →
cache	13–10	0.03	17%	15 Jul →
shelter	8–13	0.07	21%	15 Jul →
shelter	13–3	0.08	36%	15 Jul →
boulder	13–11	0.08	20%	14 Jul →
nuke	13–3	0.05	14%	14 Jul →
cache	13–3	0.02	23%	14 Jul →
boulder	12–12	0.04	16%	13 Jul →
cache	13–11	0.04	17%	10 Jul →
ancient	8–13	-0.04	18%	10 Jul →
cache	12–16	0.04	12%	9 Jul →
ancient	10–13	-0.01	21%	9 Jul →
anubis	13–6	-0.02	11%	9 Jul →
cache	5–13	-0.02	20%	7 Jul →
cache	1–13	-0.04	29%	6 Jul →
office	12–12	0.08	27%	5 Jul →
ancient	9–13	0.08	20%	5 Jul →
overpass	16–14	0.06	23%	5 Jul →
nuke	6–13	-0.05	20%	5 Jul →
nuke	4–13	0.05	28%	5 Jul →
overpass	7–13	-0.07	32%	4 Jul →
office	13–4	0.11	15%	4 Jul →
mirage	9–13	0.07	21%	4 Jul →
dust2	0–13	-0.00	33%	4 Jul →
anubis	3–6	0.05	27%	2 Jul →
nuke	8–13	0.10	17%	1 Jul →
anubis	7–13	-0.01	11%	1 Jul →
cache	13–11	0.12	11%	30 Jun →
cache	13–5	0.15	30%	30 Jun →
cache	9–13	0.04	11%	29 Jun →
nuke	9–13	0.10	18%	29 Jun →
office	6–13	0.04	18%	27 Jun →
cache	13–7	0.13	15%	27 Jun →
cache	8–13	0.02	21%	26 Jun →
anubis	13–6	0.12	17%	25 Jun →
anubis	6–13	0.03	14%	25 Jun →
ancient	6–13	0.01	20%	25 Jun →
vertigo	13–10	0.08	21%	18 Jun →
cache	12–12	-0.03	21%	18 Jun →
overpass	7–13	0.11	33%	11 Jun →
ancient	11–13	0.04	11%	9 Jun →
overpass	13–16	0.05	18%	9 Jun →
ancient	1–7	-0.10	6%	7 Jun →
overpass	8–13	0.01	14%	7 Jun →
anubis	13–6	0.04	21%	6 Jun →
ancient	13–10	0.01	16%	1 Jun →
nuke	13–8	0.04	20%	1 Jun →
ancient	1–13	-0.03	20%	31 May →
inferno	10–13	0.05	16%	28 May →
anubis	13–16	0.02	10%	28 May →
anubis	15–15	0.06	15%	28 May →
anubis	9–13	-0.04	16%	21 May →
ancient	13–8	0.03	18%	21 May →
ancient	13–11	0.08	13%	18 May →
nuke	13–7	0.20	20%	18 May →
cache	2–13	0.04	29%	18 May →
nuke	13–6	-0.03	15%	17 May →
alpine	13–2	0.10	16%	15 May →
ancient	6–13	0.03	15%	15 May →
overpass	13–9	-0.01	15%	14 May →
ancient	10–13	0.03	11%	14 May →
nuke	10–13	0.07	17%	9 May →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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