[F1] nairyokuuu_ — CS2 Stats

76561199560907640[U:1:1600641912]Steam profile ↗✓ No bans

3,984Tracked matches52%Win rate2023Tracked since

4,562Hours in CS66Hrs last 2 wks

CSDB Rating5.6 SolidPassive Rifler

Premier CS Rating22,038Top 50% of 29,473 CSDB-tracked playersPink band · top ~6.3% of ranked players (population est.)

CSDB Leaderboard#11680 of 42085 tracked

FaceitLevel 6 · 1,200 ELOTop 54.0% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=1,571), 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 6 median	Level 7 median	vs Level 7
Headshot rate	55.1%	44.7%	46.1%	above
Shot accuracy	0.0%	11.9%	12.6%	12.6% short
Kill/death ratio	0.77	1.04	1.05	0.28 short
Match win rate	47.9%	45.2%	45.7%	above

This profile matches the typical Level 7 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim74

Positioning38

Utility51

0–100 skill scores via Leetify.

Recent form

STEADY50–44–6Last 10050%Win rateLLLLWLLWWW

Last 10 vs previous 10: -30pp win rate · +0.02 avg rating

Player DNA

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

Aim7.4

Aggression4.3

Utility5.1

Positioning3.8

Opening Duels1.2

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 83% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower aim profile; lower 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

Areas to improve

Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.

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

Aim7.4

Positioning3.8

Utility5.1

Mechanics7.2

Opening Duels1.3

Win Impact5.6

Composite 5.6/10 (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 rating-0.00+0.00

first ⅓ avg -0.01 → last ⅓ avg -0.00

Reaction time548ms−43ms

first ⅓ avg 591ms → last ⅓ avg 548ms

Headshot accuracy26.3%−1.1%

first ⅓ avg 27.4% → last ⅓ avg 26.3%

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

0.13Best rating — inferno 9–7

13–1Biggest win — mirage

4Longest win streak

L4Current streak

11–8In matches decided by ≤2 rounds

12Overtime games

Map breakdown

dust2Best map · 59% over 32mirageWeakest map · 38% over 21

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	32	19–13	59%	-0.01
mirage	C	21	8–13	38%	-0.01
train	B	12	6–6	50%	-0.03
anubis	C	10	4–6	40%	0.02
ancient	B	8	4–4	50%	-0.00
inferno	A	7	4–3	57%	0.03
nuke	C	5	2–3	40%	-0.02
cache	—	4	2–2	50%	0.01
overpass	—	1	1–0	100%	0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (38% over 21). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

94,672Lifetime kills

0.77K/D

5,944Matches

47.9%Match win rate · Top 50% of Level 6 players

55.1%Headshot % · Top 25% of Level 6 players

0.0%Shot accuracy

11,544MVPs

3,621Hours (in match)

6,340Bombs planted

1,488Bombs defused

Most-used weapons

AK-4734,264

M4A4 / M4A1-S15,214

AWP12,109

Desert Eagle8,509

MP94,765

P2000 / USP-S4,551

Glock-183,637

Galil AR3,318

MAC-102,417

FAMAS1,368

Lifetime map wins

14,827dust2

5,928inferno

4,356train

2,855nuke

1,046vertigo

345office

29italy

4ar_shoots

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

Faceit stats

Combat

609Matches

50%Win rate

1.05Avg K/D

76.4ADR

56%Headshot %

Clutches & streaks

37%1v1 clutch win

21%1v2 clutch win

10Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	187	53%	1.07	15.4
Dust2	166	51%	1.03	15.4
Ancient	86	49%	1.02	14.8
Anubis	73	55%	1.21	16.3
Inferno	47	40%	1.00	15.8
Nuke	31	19%	0.81	14.2
Overpass	10	60%	1.17	15.3
Train	8	62%	0.88	15.3

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.

26.4%Headshot accuracy

29.9%Accuracy (enemy spotted)

29.7%Spray accuracy

82.5%Counter-strafing

9.4°Preaim

546msReaction time

29.7%T opening success

40.2%CT opening success

0.57Enemies flashed / flash

5.0%Flash assists

8.92HE damage / grenade

4.90Flashes / 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.

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 29.6569% — below the 40% mark we flag

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.

38% win rate across 21 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
dust2	11–13	-0.03	23%	24 Aug →
mirage	7–13	0.03	45%	24 Aug →
train	7–13	0.00	48%	23 Aug →
mirage	5–13	-0.07	16%	23 Aug →
dust2	13–5	0.02	19%	23 Aug →
anubis	8–13	-0.04	37%	23 Aug →
mirage	11–13	0.06	23%	14 Aug →
inferno	9–7	0.13	28%	28 Jul →
train	13–6	0.02	29%	26 Jul →
mirage	13–5	-0.02	27%	25 Jul →
train	7–13	-0.03	41%	24 Jul →
dust2	13–11	0.02	33%	24 Jul →
dust2	5–13	-0.09	17%	24 Jul →
dust2	13–4	-0.04	28%	23 Jul →
dust2	13–5	-0.02	23%	23 Jul →
ancient	13–11	-0.02	39%	23 Jul →
inferno	13–7	0.04	29%	23 Jul →
dust2	4–13	-0.01	19%	23 Jul →
dust2	13–5	0.08	22%	22 Jul →
anubis	6–0	0.01	40%	22 Jul →
ancient	6–13	-0.01	19%	22 Jul →
ancient	13–8	-0.01	27%	22 Jul →
dust2	15–15	-0.06	18%	22 Jul →
dust2	6–13	0.01	14%	21 Jul →
anubis	16–13	0.01	22%	21 Jul →
mirage	13–1	-0.02	31%	21 Jul →
inferno	7–13	-0.08	20%	21 Jul →
ancient	6–13	-0.02	17%	21 Jul →
mirage	13–2	0.02	25%	21 Jul →
dust2	16–14	-0.01	20%	21 Jul →
inferno	10–13	0.02	31%	21 Jul →
dust2	5–13	-0.02	15%	20 Jul →
inferno	13–11	-0.01	24%	19 Jul →
mirage	13–6	0.01	17%	19 Jul →
dust2	3–0	0.02	50%	19 Jul →
ancient	13–11	-0.03	29%	19 Jul →
dust2	11–13	0.01	24%	19 Jul →
dust2	16–14	0.04	12%	17 Jul →
mirage	15–15	0.02	21%	17 Jul →
nuke	6–13	-0.06	14%	17 Jul →
dust2	13–4	0.07	32%	17 Jul →
dust2	13–10	-0.02	17%	16 Jul →
mirage	5–13	0.04	28%	16 Jul →
ancient	16–12	0.06	35%	16 Jul →
dust2	13–8	0.06	42%	16 Jul →
anubis	10–13	0.06	17%	16 Jul →
ancient	11–13	0.01	20%	15 Jul →
anubis	14–16	0.03	25%	14 Jul →
dust2	9–13	-0.01	40%	13 Jul →
nuke	13–8	-0.00	32%	13 Jul →
train	13–4	-0.09	29%	12 Jul →
mirage	13–9	0.00	28%	12 Jul →
inferno	9–13	0.01	22%	12 Jul →
ancient	1–7	-0.01	31%	11 Jul →
anubis	13–9	0.07	35%	11 Jul →
mirage	6–13	-0.13	14%	11 Jul →
train	13–10	-0.05	21%	10 Jul →
dust2	13–10	-0.00	32%	10 Jul →
mirage	13–9	-0.01	45%	10 Jul →
mirage	1–13	-0.04	29%	10 Jul →
nuke	14–16	-0.03	35%	9 Jul →
train	13–7	-0.03	20%	8 Jul →
dust2	9–13	-0.04	28%	8 Jul →
mirage	5–13	0.03	10%	6 Jul →
dust2	13–8	0.07	24%	6 Jul →
cache	13–7	-0.01	28%	6 Jul →
cache	13–2	0.07	42%	3 Jul →
anubis	5–13	0.02	31%	3 Jul →
anubis	12–16	0.04	31%	2 Jul →
nuke	13–6	-0.01	23%	2 Jul →
dust2	13–6	0.07	18%	2 Jul →
mirage	11–13	0.00	28%	2 Jul →
anubis	13–5	0.02	22%	2 Jul →
inferno	9–4	0.13	21%	1 Jul →
train	12–12	-0.04	14%	1 Jul →
mirage	15–15	-0.01	25%	1 Jul →
dust2	16–14	0.02	31%	29 Jun →
dust2	13–11	-0.08	30%	25 Jun →
mirage	2–13	-0.13	18%	25 Jun →
dust2	13–11	0.05	28%	25 Jun →
cache	5–13	0.03	38%	25 Jun →
mirage	6–13	0.06	32%	25 Jun →
train	2–13	-0.10	40%	24 Jun →
dust2	4–13	-0.10	11%	24 Jun →
dust2	6–13	-0.07	19%	24 Jun →
train	7–1	-0.05	0%	22 Jun →
mirage	3–13	-0.05	40%	22 Jun →
mirage	13–3	0.08	28%	21 Jun →
dust2	11–13	-0.08	17%	21 Jun →
mirage	13–10	0.02	34%	21 Jun →
train	13–3	0.04	18%	19 Jun →
cache	5–13	-0.04	21%	19 Jun →
overpass	13–6	0.02	25%	19 Jun →
dust2	16–14	0.01	20%	19 Jun →
nuke	12–12	-0.01	31%	18 Jun →
train	9–13	0.06	33%	18 Jun →
dust2	13–10	-0.07	19%	18 Jun →
train	12–12	-0.07	100%	17 Jun →
anubis	4–13	0.01	31%	17 Jun →
dust2	10–13	0.01	25%	17 Jun →