Janus anus — CS2 Stats

76561198020067409[U:1:59801681]Steam profile ↗✓ No bans

745Tracked matches57%Win rate2020Tracked since

CSDB Rating6.6 SolidHybrid Rifler

FaceitLevel 9 · 1,725 ELOTop 20.7% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

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Performance scores

Aim92

Positioning53

Utility60

0–100 skill scores via Leetify.

Recent form

STEADY54–45–1Last 10054%Win rateWWLWLWLLWW

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

Player DNA

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

Aim9.2

Aggression5.5

Utility6.0

Positioning5.3

Opening Duels0.6

Clutch3.8

Sharp aimerExcellent counter-strafing

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 93% playstyle similarity

Most alike: aim profile, 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

Aim. Aim score of 92 — the mechanical foundation is a clear strength.

Counter-strafing. 92% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Positioning. Positioning trails aim by 39 points — deaths here waste a strong aim profile.

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

Reaction time. 595ms 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

Aim9.2

Positioning5.3

Utility6.0

Mechanics9.3

Opening Duels0.8

Win Impact7.2

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01

first ⅓ avg 0.00 → last ⅓ avg 0.02

Reaction time603ms−20ms

first ⅓ avg 623ms → last ⅓ avg 603ms

Headshot accuracy23.7%+6.9%

first ⅓ avg 16.9% → last ⅓ avg 23.7%

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 — dust2 13–1

13–1Biggest win — dust2

5Longest win streak

W2Current streak

9–6In matches decided by ≤2 rounds

11Overtime games

Map breakdown

nukeBest map · 69% over 13anubisWeakest map · 36% over 11

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	18	9–9	50%	-0.01
dust2	A	16	9–7	56%	0.03
mirage	C	16	7–9	44%	0.00
ancient	A	13	8–5	62%	0.01
nuke	S	13	9–4	69%	0.04
anubis	C	11	4–7	36%	0.01
cache	—	4	2–2	50%	0.01
overpass	—	3	3–0	100%	0.01
vertigo	—	2	1–1	50%	-0.00
cache_b	—	2	1–1	50%	0.00
mirror_de_mirage	—	1	0–1	0%	0.06
cbble_d	—	1	1–0	100%	0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

700Matches

51%Win rate

1.22Avg K/D

74.6ADR

44%Headshot %

Clutches & streaks

39%1v1 clutch win

21%1v2 clutch win

9Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	56	50%	1.24	15.5
Anubis	39	59%	1.14	14.8
Ancient	38	58%	1.12	16.7
Nuke	35	54%	1.35	15.3
Dust2	31	45%	1.09	14.8
Mirage	16	50%	1.12	14.2
Cache	13	38%	1.25	16.3
Overpass	12	75%	1.30	16.3

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.

22.8%Headshot accuracy

39.1%Accuracy (enemy spotted)

42.2%Spray accuracy

91.6%Counter-strafing

6.8°Preaim

595msReaction time

28.2%T opening success

36.5%CT opening success

0.63Enemies flashed / flash

7.4%Flash assists

11.48HE damage / grenade

9.37Flashes / 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 28.198% — below the 40% mark we flag

Spend your practice time on Anubis

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

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–10	0.02	33%	17 Jul →
anubis	13–6	0.07	23%	17 Jul →
dust2	9–13	0.04	25%	17 Jul →
dust2	13–3	0.10	18%	5 Jul →
anubis	5–13	-0.01	27%	14 Jun →
ancient	16–13	0.05	21%	14 Jun →
dust2	2–13	-0.02	32%	7 Jun →
mirage	6–13	-0.06	18%	6 Jun →
dust2	13–7	-0.06	20%	6 Jun →
nuke	9–0	0.04	25%	6 Jun →
dust2	11–13	0.05	24%	6 Jun →
dust2	16–14	0.07	25%	4 Jun →
dust2	13–8	0.05	23%	4 Jun →
anubis	13–10	0.03	14%	3 Jun →
cache	2–13	-0.05	20%	3 Jun →
ancient	13–7	0.04	12%	2 Jun →
inferno	8–13	-0.03	29%	30 May →
ancient	13–3	0.07	23%	30 May →
inferno	10–13	-0.01	14%	29 May →
ancient	14–16	-0.02	20%	29 May →
cache	13–10	0.01	28%	25 May →
nuke	13–11	0.11	28%	24 May →
inferno	1–13	-0.04	27%	24 May →
dust2	13–8	0.12	41%	24 May →
inferno	4–13	-0.05	37%	24 May →
nuke	13–8	0.02	11%	24 May →
nuke	13–9	0.10	19%	21 May →
inferno	9–13	0.01	28%	21 May →
ancient	10–13	-0.03	10%	15 May →
inferno	13–2	0.01	16%	14 May →
anubis	6–13	-0.02	21%	14 May →
inferno	13–6	-0.04	29%	14 May →
ancient	13–3	-0.01	43%	13 May →
nuke	13–16	-0.02	19%	13 May →
nuke	6–13	-0.03	29%	12 May →
cache	13–9	0.09	21%	12 May →
ancient	9–13	0.03	22%	12 May →
inferno	13–9	0.01	16%	12 May →
anubis	6–13	-0.00	12%	10 May →
nuke	13–8	0.03	26%	8 May →
anubis	11–13	-0.04	24%	6 May →
dust2	13–7	0.09	21%	6 May →
inferno	8–13	-0.01	20%	3 May →
nuke	13–10	0.04	39%	3 May →
cache	10–13	-0.00	19%	3 May →
nuke	10–13	-0.06	11%	29 Apr →
nuke	13–11	0.06	32%	29 Apr →
dust2	13–1	0.16	20%	29 Apr →
inferno	13–5	-0.02	20%	28 Apr →
nuke	13–2	0.12	23%	28 Apr →
mirage	13–11	0.04	16%	28 Apr →
nuke	11–13	-0.04	13%	28 Apr →
ancient	11–13	-0.04	21%	27 Apr →
mirage	7–13	0.01	17%	27 Apr →
dust2	9–13	0.06	15%	26 Apr →
mirror_de_mirage	7–13	0.06	23%	26 Apr →
cbble_d	16–13	0.05	23%	26 Apr →
mirage	13–11	0.01	17%	25 Apr →
mirage	3–13	-0.07	12%	25 Apr →
ancient	13–10	0.03	17%	25 Apr →
ancient	3–13	-0.03	18%	23 Apr →
anubis	9–13	-0.04	9%	22 Apr →
vertigo	10–13	0.01	24%	22 Apr →
mirage	13–9	0.00	18%	22 Apr →
inferno	13–8	-0.04	16%	22 Apr →
inferno	8–13	0.01	19%	22 Apr →
mirage	5–13	0.07	20%	22 Apr →
ancient	13–6	-0.06	12%	21 Apr →
anubis	13–8	0.08	16%	21 Apr →
mirage	16–14	0.03	24%	21 Apr →
mirage	13–7	0.06	17%	21 Apr →
mirage	9–13	-0.06	22%	21 Apr →
vertigo	13–4	-0.01	31%	21 Apr →
dust2	4–13	-0.05	25%	20 Apr →
anubis	7–13	0.02	9%	20 Apr →
inferno	13–9	0.05	15%	20 Apr →
dust2	5–13	-0.09	18%	19 Apr →
overpass	9–6	-0.01	6%	19 Apr →
overpass	13–10	-0.01	21%	16 Apr →
cache_b	11–13	-0.05	21%	16 Apr →
ancient	13–6	0.09	16%	16 Apr →
anubis	12–16	-0.05	13%	16 Apr →
cache_b	13–6	0.05	28%	16 Apr →
inferno	13–7	0.04	18%	16 Apr →
inferno	9–1	0.03	11%	16 Apr →
dust2	2–13	-0.00	20%	16 Apr →
overpass	13–11	0.03	18%	15 Apr →
mirage	15–15	-0.01	14%	15 Apr →
mirage	6–13	0.03	29%	15 Apr →
ancient	16–13	0.01	19%	13 Apr →
mirage	4–13	-0.02	17%	13 Apr →
anubis	25–23	0.04	9%	13 Apr →
dust2	13–6	-0.02	18%	13 Apr →
mirage	10–13	0.01	13%	12 Apr →
inferno	8–13	-0.06	4%	12 Apr →
mirage	13–4	-0.00	9%	12 Apr →
mirage	16–14	-0.03	13%	12 Apr →
nuke	13–3	0.12	26%	7 Apr →
dust2	13–8	-0.02	8%	7 Apr →
inferno	10–13	0.01	18%	4 Apr →