IRUTAS — CS2 Stats

76561198039003830[U:1:78738102]

1,085Tracked matches41%Win rate2020Tracked since

6,097Hours in CS24Hrs last 2 wks

CSDB Rating5.5 SolidHybrid Rifler

Premier CS Rating16,579Purple band · top ~22.1% of ranked players (population est.)

CSDB Leaderboard#12380 of 21067 tracked

FaceitLevel 9Top 20.7% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), 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	vs Level 10
Headshot rate	53.1%	52.8%	meets
Shot accuracy	17.1%	13.7%	above
Kill/death ratio	0.88	1.08	0.20 short
Match win rate	45.5%	49.2%	3.7% short

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim76

Positioning48

Utility60

0–100 skill scores via Leetify.

Recent form

STEADY46–49–5Last 10046%Win rateLLWWWLWLWL

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

Player DNA

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

Aim7.6

Aggression4.7

Utility6.0

Positioning4.8

Opening Duels0.8

Clutch1.8

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 NiKo 91% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: 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

T-side openings. Opening success drops from 43% on CT to 24% 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

Aim7.6

Positioning4.8

Utility6.0

Mechanics6.4

Opening Duels1.6

Win Impact2.1

Composite 5.5/10 (Solid), 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 rating0.01+0.01

first ⅓ avg -0.00 → last ⅓ avg 0.01

Reaction time519ms−61ms

first ⅓ avg 580ms → last ⅓ avg 519ms

Headshot accuracy24.6%+1.3%

first ⅓ avg 23.3% → last ⅓ avg 24.6%

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 — dust2 13–4

13–0Biggest win — overpass

6Longest win streak

L2Current streak

4–10In matches decided by ≤2 rounds

13Overtime games

Map breakdown

overpassBest map · 67% over 6ancientWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	31	15–16	48%	0.03
inferno	C	26	11–15	42%	-0.00
mirage	C	23	10–13	43%	-0.00
ancient	D	7	2–5	29%	0.01
overpass	S	6	4–2	67%	-0.00
cache	—	4	2–2	50%	-0.03
warden	—	1	0–1	0%	-0.01
train	—	1	1–0	100%	0.02
anubis	—	1	1–0	100%	0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

158,750Lifetime kills

0.88K/D

6,290Matches

45.5%Match win rate

53.1%Headshot % · Top 25% of tracked players

17.1%Shot accuracy · Top 25% of tracked players

17,505MVPs

7,929Hours (in match)

6,042Bombs planted

1,656Bombs defused

Most-used weapons

AK-4755,602

M4A4 / M4A1-S23,782

AWP17,548

Desert Eagle13,824

P2000 / USP-S12,701

Glock-186,140

P2504,149

FAMAS3,469

SSG 082,608

Knife2,321

Lifetime map wins

18,971inferno

8,312dust2

2,065cbble

1,636train

1,636vertigo

907nuke

461lake

125office

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

Faceit stats

Combat

1,635Matches

51%Win rate

1.05Avg K/D

78.4ADR

49%Headshot %

Clutches & streaks

29%1v1 clutch win

22%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	6	67%	1.32	16.8
Dust2	5	60%	1.04	14.2
Overpass	3	100%	1.40	20.3
Mirage	2	50%	0.86	14.5
Train	1	0%	0.24	4.0
Ancient	1	0%	1.59	27.0

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.

24.5%Headshot accuracy

29.8%Accuracy (enemy spotted)

32.7%Spray accuracy

78.6%Counter-strafing

8.2°Preaim

527msReaction time

23.6%T opening success

43.0%CT opening success

0.58Enemies flashed / flash

10.6%Flash assists

7.84HE damage / grenade

12.39Flashes / 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 23.6083% — below the 40% mark we flag

Spend your practice time on Ancient

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	5–13	-0.07	22%	27 Aug →
ancient	7–13	0.01	24%	27 Aug →
mirage	13–9	0.09	35%	27 Aug →
dust2	13–2	0.02	27%	27 Aug →
dust2	13–5	0.06	15%	27 Aug →
mirage	14–16	-0.00	17%	25 Aug →
ancient	13–1	0.08	22%	25 Aug →
ancient	6–13	0.05	20%	25 Aug →
mirage	13–6	0.04	38%	24 Aug →
mirage	10–13	0.02	18%	24 Aug →
cache	6–13	-0.03	23%	24 Aug →
dust2	13–7	0.07	21%	24 Aug →
mirage	8–1	-0.01	24%	24 Aug →
mirage	10–13	-0.05	21%	19 Aug →
inferno	13–9	0.02	23%	19 Aug →
mirage	7–13	-0.07	37%	18 Aug →
dust2	13–9	0.06	26%	17 Aug →
ancient	7–13	-0.07	32%	17 Aug →
dust2	10–13	0.02	14%	17 Aug →
inferno	9–13	0.01	18%	17 Aug →
inferno	13–1	0.12	26%	17 Aug →
dust2	8–13	-0.02	30%	17 Aug →
dust2	13–9	0.01	38%	17 Aug →
dust2	15–15	0.03	23%	16 Aug →
mirage	3–13	0.02	29%	13 Aug →
inferno	9–13	-0.05	26%	13 Aug →
mirage	7–13	-0.06	17%	13 Aug →
cache	13–5	-0.04	16%	10 Aug →
overpass	7–13	0.00	25%	5 Jul →
dust2	11–13	-0.00	30%	5 Jul →
mirage	13–8	-0.01	24%	5 Jul →
warden	11–13	-0.01	19%	5 Jul →
inferno	13–5	0.06	32%	4 Jul →
dust2	13–8	0.09	14%	4 Jul →
inferno	13–8	-0.06	15%	4 Jul →
mirage	13–8	0.01	16%	4 Jul →
dust2	16–12	0.08	17%	4 Jul →
overpass	13–4	-0.02	24%	2 Jul →
dust2	9–13	0.01	18%	2 Jul →
mirage	13–8	-0.00	32%	2 Jul →
inferno	12–16	0.02	27%	1 Jul →
dust2	13–11	-0.01	42%	1 Jul →
train	13–9	0.02	30%	30 Jun →
mirage	4–13	-0.07	12%	30 Jun →
dust2	13–9	0.01	27%	30 Jun →
inferno	15–15	0.06	27%	29 Jun →
dust2	13–11	0.00	18%	29 Jun →
inferno	8–8	-0.03	21%	29 Jun →
mirage	3–13	-0.02	27%	29 Jun →
mirage	11–13	0.02	14%	29 Jun →
mirage	13–11	-0.00	28%	28 Jun →
dust2	7–13	0.02	28%	28 Jun →
overpass	13–7	-0.01	17%	28 Jun →
mirage	13–4	-0.01	15%	28 Jun →
dust2	15–15	-0.02	28%	28 Jun →
inferno	5–13	-0.05	14%	28 Jun →
mirage	12–16	0.00	20%	27 Jun →
inferno	9–13	0.02	17%	27 Jun →
inferno	13–6	0.01	14%	27 Jun →
inferno	13–5	0.03	16%	27 Jun →
dust2	13–4	0.20	29%	21 Jun →
dust2	4–13	0.01	30%	21 Jun →
inferno	13–4	0.05	30%	21 Jun →
mirage	13–8	0.02	19%	20 Jun →
cache	13–9	0.02	36%	20 Jun →
dust2	13–4	0.09	29%	20 Jun →
dust2	15–15	-0.02	14%	20 Jun →
inferno	13–8	0.02	23%	20 Jun →
mirage	13–9	0.08	35%	18 Jun →
dust2	7–13	0.02	34%	18 Jun →
dust2	5–13	-0.01	29%	18 Jun →
inferno	5–13	0.01	27%	13 Jun →
inferno	13–11	-0.07	22%	13 Jun →
overpass	13–0	0.04	15%	13 Jun →
inferno	13–5	0.03	20%	13 Jun →
overpass	7–1	-0.01	24%	13 Jun →
dust2	13–2	0.04	18%	13 Jun →
ancient	10–13	0.02	16%	13 Jun →
inferno	11–13	-0.00	23%	12 Jun →
dust2	11–13	0.08	50%	12 Jun →
inferno	11–13	-0.04	20%	12 Jun →
dust2	8–13	-0.04	23%	12 Jun →
overpass	10–13	-0.02	25%	12 Jun →
dust2	13–6	0.03	11%	12 Jun →
mirage	13–16	-0.03	15%	7 Jun →
dust2	12–16	0.01	28%	7 Jun →
dust2	11–13	0.01	35%	5 Jun →
inferno	10–13	-0.02	15%	5 Jun →
inferno	13–5	0.05	19%	5 Jun →
ancient	16–12	0.00	19%	3 Jun →
dust2	7–13	-0.00	17%	3 Jun →
inferno	6–13	-0.06	30%	2 Jun →
inferno	8–13	-0.08	27%	2 Jun →
inferno	7–9	-0.09	32%	2 Jun →
mirage	6–13	-0.00	24%	2 Jun →
inferno	4–13	-0.06	8%	2 Jun →
ancient	14–16	-0.05	19%	29 May →
dust2	16–13	0.02	20%	29 May →
mirage	6–13	-0.05	23%	29 May →
anubis	13–10	0.04	26%	27 May →