ヤヌシュ — CS2 Stats

76561198263275796[U:1:303010068]Steam profile ↗✓ No bans

1,328Tracked matches60%Win rate2020Tracked since

5,117Hours in CS60Hrs last 2 wks

CSDB Rating6.7 SolidAggressive Rifler

Premier CS Rating23,767Top 50% of 17,162 CSDB-tracked playersPink band · top ~4.4% of ranked players (population est.)

CSDB Leaderboard#5445 of 27184 tracked

FaceitLevel 10 · 2,353 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=3,007), 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
Headshot rate	54.9%	52.0%
Shot accuracy	14.4%	13.7%
Kill/death ratio	1.17	1.08
Match win rate	48.6%	48.8%

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Performance scores

Aim82

Positioning60

Utility55

0–100 skill scores via Leetify.

Recent form

STEADY55–42–3Last 10055%Win rateLLLWWWLWWL

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

Player DNA

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

Aim8.2

Aggression7.1

Utility5.5

Positioning6.0

Opening Duels3.2

Clutch4.0

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 b1t 95% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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 59% on CT to 27% 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

Aim8.2

Positioning6.0

Utility5.5

Mechanics6.1

Opening Duels3.6

Win Impact8.3

Composite 6.7/10 (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 0.05 → last ⅓ avg 0.03

Reaction time527ms−86ms

first ⅓ avg 612ms → last ⅓ avg 527ms

Headshot accuracy27.8%+0.4%

first ⅓ avg 27.4% → last ⅓ avg 27.8%

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 — inferno 13–3

13–0Biggest win — cache

7Longest win streak

L3Current streak

9–5In matches decided by ≤2 rounds

12Overtime games

Map breakdown

anubisBest map · 65% over 17nukeWeakest map · 42% over 12

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	30	17–13	57%	0.05
anubis	S	17	11–6	65%	0.05
ancient	A	15	9–6	60%	0.03
nuke	C	12	5–7	42%	0.05
mirage	C	12	5–7	42%	0.04
cache	A	11	6–5	55%	0.01
dust2	—	2	1–1	50%	0.05
vertigo	—	1	1–0	100%	0.09

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

154,126Lifetime kills

1.17K/D · Top 50% of Level 10 players

6,919Matches

48.6%Match win rate

54.9%Headshot % · Top 50% of Level 10 players

14.4%Shot accuracy · Top 50% of Level 10 players

23,355MVPs

2,920Hours (in match)

5,317Bombs planted

2,751Bombs defused

Most-used weapons

AK-4747,236

M4A4 / M4A1-S20,578

AWP20,365

Desert Eagle14,425

P2000 / USP-S13,025

Glock-185,993

P2502,673

SSG 082,574

FAMAS2,419

P902,241

Lifetime map wins

9,072inferno

4,105dust2

3,286nuke

2,580train

861cbble

851vertigo

86safehouse

41office

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

Faceit stats

Combat

770Matches

54%Win rate

1.28Avg K/D

93.4ADR

54%Headshot %

Clutches & streaks

40%1v1 clutch win

33%1v2 clutch win

10Longest win streak

Recent Faceit resultsWWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	85	59%	1.26	18.3
Inferno	40	52%	1.40	21.1
Nuke	28	68%	1.33	19.6
Anubis	25	36%	1.24	20.8
Ancient	20	50%	1.46	22.1
Dust2	19	58%	1.09	16.2
Vertigo	9	67%	1.39	17.9
Overpass	7	71%	1.24	19.4

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.

27.9%Headshot accuracy

31.1%Accuracy (enemy spotted)

33.8%Spray accuracy

77.3%Counter-strafing

7.8°Preaim

527msReaction time

26.8%T opening success

59.0%CT opening success

0.45Enemies flashed / flash

10.5%Flash assists

12.84HE damage / grenade

6.40Flashes / 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 0.4501 — below the 0.5 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 26.8478% — 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.

42% win rate across 12 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
nuke	10–13	0.00	33%	29 Aug →
cache	9–13	-0.02	39%	28 Aug →
anubis	7–13	0.03	22%	26 Aug →
anubis	13–10	0.07	23%	23 Aug →
vertigo	13–9	0.09	25%	21 Aug →
anubis	13–11	0.12	28%	19 Aug →
cache	6–13	-0.01	29%	18 Aug →
ancient	16–14	0.02	29%	18 Aug →
inferno	16–14	0.12	30%	18 Aug →
inferno	3–10	-0.06	18%	17 Aug →
ancient	3–13	-0.05	21%	17 Aug →
cache	13–0	0.00	16%	17 Aug →
anubis	13–4	0.09	34%	17 Aug →
inferno	13–10	-0.03	21%	17 Aug →
inferno	13–3	0.20	28%	17 Aug →
ancient	13–10	0.00	26%	17 Aug →
cache	13–9	-0.04	28%	17 Aug →
inferno	13–5	0.00	23%	16 Aug →
anubis	10–13	-0.02	24%	16 Aug →
mirage	13–3	0.01	17%	16 Aug →
inferno	3–13	0.01	50%	16 Aug →
ancient	11–13	0.07	34%	16 Aug →
inferno	13–4	0.06	22%	16 Aug →
anubis	13–5	0.00	14%	16 Aug →
dust2	13–6	-0.01	35%	16 Aug →
cache	13–0	0.06	33%	16 Aug →
inferno	13–10	0.02	32%	16 Aug →
ancient	8–13	0.08	29%	16 Aug →
inferno	13–16	0.03	35%	15 Aug →
inferno	3–13	0.00	28%	15 Aug →
ancient	13–4	0.04	28%	15 Aug →
inferno	13–11	0.12	38%	15 Aug →
cache	10–13	0.01	25%	15 Aug →
mirage	13–9	0.08	28%	14 Aug →
nuke	13–3	0.13	31%	14 Aug →
ancient	9–13	-0.02	27%	14 Aug →
nuke	3–13	-0.01	43%	14 Aug →
inferno	13–2	0.13	41%	14 Aug →
mirage	10–13	0.03	26%	13 Aug →
anubis	13–10	0.10	28%	13 Aug →
nuke	13–8	0.04	22%	13 Aug →
cache	10–13	0.02	30%	13 Aug →
anubis	6–13	-0.02	35%	13 Aug →
inferno	16–12	0.08	24%	13 Aug →
cache	13–3	0.02	30%	13 Aug →
nuke	12–16	0.13	26%	12 Aug →
anubis	13–5	0.10	24%	12 Aug →
inferno	15–15	0.05	30%	12 Aug →
mirage	5–13	-0.02	17%	12 Aug →
nuke	13–11	0.03	26%	12 Aug →
ancient	13–9	0.06	44%	11 Aug →
mirage	3–13	0.02	44%	11 Aug →
anubis	15–15	0.02	30%	11 Aug →
inferno	13–1	0.05	15%	11 Aug →
nuke	13–9	0.06	25%	10 Aug →
ancient	13–8	-0.04	22%	10 Aug →
inferno	9–13	0.01	26%	10 Aug →
anubis	13–7	0.03	30%	9 Aug →
inferno	8–13	0.03	32%	8 Aug →
mirage	14–16	0.04	35%	7 Aug →
nuke	8–13	0.02	26%	7 Aug →
inferno	13–10	0.07	32%	7 Aug →
inferno	10–13	0.09	31%	4 Aug →
anubis	13–7	0.13	17%	4 Aug →
cache	9–13	0.04	20%	4 Aug →
inferno	13–5	0.03	25%	3 Aug →
ancient	13–11	0.00	26%	30 Jul →
inferno	4–13	0.06	33%	30 Jul →
ancient	2–13	-0.01	29%	30 Jul →
cache	13–10	0.00	29%	29 Jul →
inferno	13–10	0.07	32%	28 Jul →
inferno	10–13	0.01	26%	28 Jul →
nuke	15–15	0.07	26%	27 Jul →
anubis	13–5	0.17	32%	27 Jul →
mirage	13–5	0.17	32%	27 Jul →
anubis	13–1	0.03	23%	27 Jul →
ancient	14–16	0.00	23%	27 Jul →
cache	5–3	-0.01	38%	27 Jul →
mirage	13–16	0.02	28%	27 Jul →
inferno	13–11	0.10	36%	27 Jul →
mirage	13–7	0.08	30%	23 Jul →
ancient	13–9	0.14	24%	23 Jul →
inferno	11–13	-0.01	25%	23 Jul →
anubis	13–7	0.02	21%	22 Jul →
mirage	13–5	0.01	30%	21 Jul →
ancient	13–2	0.12	33%	21 Jul →
ancient	13–11	0.06	22%	20 Jul →
nuke	10–13	0.07	32%	20 Jul →
inferno	13–10	0.06	27%	20 Jul →
anubis	7–13	0.05	22%	16 Jul →
nuke	2–13	-0.03	29%	13 Jul →
inferno	13–2	0.16	16%	13 Jul →
mirage	10–13	-0.01	19%	13 Jul →
inferno	6–9	-0.04	23%	11 Jul →
mirage	9–13	0.01	30%	10 Jul →
dust2	4–13	0.11	28%	10 Jul →
inferno	10–13	0.04	28%	10 Jul →
anubis	14–16	-0.04	19%	9 Jul →
nuke	13–8	0.09	34%	8 Jul →
inferno	13–9	0.05	24%	2 Jul →