AyaSayo — CS2 Stats

76561198145446239[U:1:185180511]

484Tracked matches57%Win rate2020Tracked since

2,307Hours in CS

CSDB Rating6.1 SolidPassive Rifler

Premier CS Rating22,666Top 50% of 819 CSDB-tracked playersPink band · top ~5.6% of ranked players (population est.)

CSDB Leaderboard#4898 of 17197 tracked

FaceitLevel 7Top 42.3% of ranked FACEIT players

Ladder ranks via Leetify

Rating over time

22,666Peak Premier on CSDB

1Days observed since 2026-08-28

Premier CS Rating

At peak — 22,666
Next: Red band at 25,000 — 2,334 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-08-28
Purple band first seen 2026-08-28

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

Aim78

Positioning60

Utility47

0–100 skill scores via Leetify.

Recent form

STEADY49–46–5Last 10049%Win rateWLWWLWWLLL

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

Player DNA

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

Aim7.8

Aggression4.3

Utility4.7

Positioning6.0

Opening Duels0.5

Clutch3.4

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 NiKo 90% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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. 590ms 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

Aim7.8

Positioning6.0

Utility4.7

Mechanics6.1

Opening Duels1.2

Win Impact7.2

Composite 6.1/10 (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 rating0.02−0.02

first ⅓ avg 0.04 → last ⅓ avg 0.02

Reaction time606ms+11ms

first ⅓ avg 595ms → last ⅓ avg 606ms

Headshot accuracy19.8%−1.8%

first ⅓ avg 21.6% → 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

0.16Best rating — cache 13–3

13–0Biggest win — inferno

7Longest win streak

7–11In matches decided by ≤2 rounds

7Overtime games

Map breakdown

dust2Best map · 60% over 10nukeWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	24	11–13	46%	0.01
cache	A	21	12–9	57%	0.04
ancient	B	15	8–7	53%	0.05
inferno	B	11	5–6	45%	0.02
dust2	A	10	6–4	60%	0.03
anubis	A	7	4–3	57%	0.06
nuke	D	5	1–4	20%	0.01
overpass	—	2	1–1	50%	0.10
debris	—	1	0–1	0%	-0.04
italy	—	1	1–0	100%	0.07
fachwerk	—	1	0–1	0%	0.07
shelter	—	1	0–1	0%	-0.01
vertigo	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

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

Lifetime stats

96,542Lifetime kills

1.14K/D · Top 50% of Pink band

3,362Matches

38.6%Match win rate

40.9%Headshot %

18.4%Shot accuracy · Top 25% of Pink band

9,022MVPs

2,307Hours (in match)

1,949Bombs planted

667Bombs defused

Most-used weapons

AK-4728,066

AWP25,357

Desert Eagle10,611

M4A4 / M4A1-S8,361

P2000 / USP-S5,333

Glock-183,053

P2501,854

SSG 081,784

Knife1,736

Tec-91,597

Lifetime map wins

12,098dust2

2,064inferno

717vertigo

610train

487cbble

474nuke

57lake

40office

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

Faceit stats

Combat

115Matches

51%Win rate

1.21Avg K/D

87.2ADR

50%Headshot %

Clutches & streaks

37%1v1 clutch win

34%1v2 clutch win

5Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	24	46%	1.06	18.3
Inferno	18	33%	1.09	19.4
Cache	15	73%	1.57	22.4
Anubis	14	57%	1.19	18.9
Ancient	11	73%	1.21	18.1
Vertigo	11	64%	1.06	17.8
Dust2	11	36%	1.19	17.6
Nuke	5	40%	1.40	21.2

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.

19.0%Headshot accuracy

36.0%Accuracy (enemy spotted)

44.0%Spray accuracy

77.7%Counter-strafing

8.8°Preaim

590msReaction time

24.5%T opening success

39.4%CT opening success

0.52Enemies flashed / flash

5.8%Flash assists

9.82HE damage / grenade

3.84Flashes / 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
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.8444 — below the 4 mark we flag
Grenade Lineups →
Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 24.5298% — below the 40% mark we flag

Spend your practice time on Nuke

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.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–4	0.04	15%	23 Aug →
cache	16–19	0.05	17%	20 Aug →
ancient	13–10	-0.02	26%	20 Aug →
cache	13–5	0.08	22%	19 Aug →
mirage	1–13	-0.06	9%	16 Aug →
cache	13–11	0.01	15%	15 Aug →
cache	13–3	0.16	24%	13 Aug →
cache	7–13	-0.05	18%	13 Aug →
mirage	3–13	-0.03	13%	13 Aug →
debris	4–9	-0.04	35%	9 Aug →
mirage	9–13	-0.04	19%	7 Aug →
ancient	13–2	0.10	16%	7 Aug →
mirage	5–13	0.06	19%	5 Aug →
mirage	13–11	0.04	20%	5 Aug →
cache	11–13	0.03	21%	3 Aug →
ancient	13–5	0.11	23%	3 Aug →
ancient	13–8	-0.01	16%	3 Aug →
inferno	7–13	-0.03	25%	2 Aug →
ancient	13–4	0.10	22%	2 Aug →
inferno	13–6	0.10	15%	2 Aug →
cache	4–13	-0.01	18%	2 Aug →
cache	3–13	-0.03	33%	31 Jul →
dust2	7–13	-0.00	31%	31 Jul →
cache	16–13	0.04	16%	24 Jul →
mirage	8–13	-0.06	14%	24 Jul →
inferno	13–0	-0.01	0%	23 Jul →
inferno	13–1	-0.04	4%	23 Jul →
ancient	13–6	0.13	25%	23 Jul →
anubis	13–9	0.03	16%	22 Jul →
ancient	2–8	-0.03	43%	22 Jul →
anubis	13–10	0.06	18%	22 Jul →
mirage	13–8	-0.05	23%	22 Jul →
cache	13–7	0.03	21%	22 Jul →
mirage	13–9	-0.02	22%	21 Jul →
mirage	11–13	0.03	27%	21 Jul →
cache	13–4	0.03	15%	21 Jul →
mirage	8–13	0.01	19%	21 Jul →
inferno	11–13	-0.00	22%	21 Jul →
inferno	6–9	0.05	14%	21 Jul →
dust2	15–15	0.01	18%	21 Jul →
inferno	5–13	0.07	27%	21 Jul →
cache	13–10	0.08	21%	19 Jul →
mirage	10–13	0.01	19%	19 Jul →
mirage	13–11	0.04	24%	19 Jul →
cache	10–3	-0.00	19%	19 Jul →
ancient	8–13	-0.03	12%	19 Jul →
ancient	3–13	-0.02	23%	19 Jul →
anubis	13–11	0.06	19%	19 Jul →
inferno	13–8	-0.03	11%	19 Jul →
italy	10–4	0.07	28%	17 Jul →
dust2	13–8	0.07	19%	17 Jul →
dust2	13–8	0.01	19%	17 Jul →
dust2	13–10	0.03	19%	16 Jul →
ancient	13–7	0.06	15%	15 Jul →
mirage	11–13	0.07	18%	15 Jul →
cache	14–16	-0.01	23%	15 Jul →
mirage	13–3	0.01	15%	15 Jul →
inferno	15–15	0.03	33%	14 Jul →
mirage	4–13	-0.01	9%	14 Jul →
nuke	13–7	-0.04	30%	13 Jul →
fachwerk	11–13	0.07	21%	13 Jul →
shelter	12–12	-0.01	7%	13 Jul →
mirage	13–11	0.07	28%	13 Jul →
cache	13–5	0.11	20%	13 Jul →
ancient	11–13	0.07	11%	13 Jul →
cache	13–10	0.08	18%	13 Jul →
ancient	8–13	0.05	21%	12 Jul →
nuke	10–13	0.07	28%	12 Jul →
nuke	6–13	-0.03	10%	12 Jul →
cache	11–13	0.05	15%	12 Jul →
mirage	13–10	0.02	20%	12 Jul →
nuke	9–13	0.04	20%	11 Jul →
dust2	13–11	0.01	19%	11 Jul →
cache	13–6	0.04	21%	11 Jul →
cache	10–13	0.03	37%	11 Jul →
mirage	13–5	0.11	31%	9 Jul →
ancient	14–16	0.04	16%	9 Jul →
inferno	13–1	0.07	20%	9 Jul →
overpass	12–12	0.11	17%	8 Jul →
ancient	11–13	0.07	20%	8 Jul →
vertigo	7–13	-0.01	22%	8 Jul →
anubis	11–13	0.09	29%	8 Jul →
dust2	13–8	0.04	22%	1 Jul →
ancient	13–8	0.05	20%	1 Jul →
overpass	13–6	0.09	24%	1 Jul →
mirage	5–13	-0.04	19%	30 Jun →
dust2	13–9	0.11	31%	30 Jun →
mirage	5–13	-0.03	15%	30 Jun →
cache	0–5	0.06	10%	29 Jun →
mirage	13–10	0.15	24%	29 Jun →
nuke	10–13	0.02	22%	29 Jun →
anubis	15–15	-0.00	17%	28 Jun →
dust2	9–13	0.01	26%	28 Jun →
anubis	8–13	0.08	27%	28 Jun →
mirage	13–10	0.03	12%	27 Jun →
inferno	6–13	0.04	27%	27 Jun →
mirage	13–11	0.04	17%	27 Jun →
anubis	13–10	0.10	23%	25 Jun →
dust2	5–13	-0.02	25%	25 Jun →
mirage	5–13	-0.02	26%	25 Jun →