Janeone — CS2 Stats

FI76561198180334526[U:1:220068798]Steam profile ↗

1,884Tracked matches57%Win rate2020Tracked since

CSDB Rating5.9 SolidHybrid Rifler

FaceitLevel 10 · 1,742 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim69

Positioning56

Utility58

0–100 skill scores via Leetify.

Recent form

STEADY53–47Last 10053%Win rateLLLWLWWWWL

Last 10 vs previous 10: -10pp win rate · +0.01 avg rating

Player DNA

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

Aim6.9

Aggression5.7

Utility5.8

Positioning5.6

Opening Duels1.7

Clutch3.8

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-duel success, 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 47% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 597ms 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

Aim6.9

Positioning5.6

Utility5.8

Mechanics7.8

Opening Duels2.2

Win Impact7.2

Composite 5.9/10 (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 rating0.00+0.01

first ⅓ avg -0.01 → last ⅓ avg 0.00

Reaction time594ms−34ms

first ⅓ avg 628ms → last ⅓ avg 594ms

Headshot accuracy20.4%+4.3%

first ⅓ avg 16.1% → last ⅓ avg 20.4%

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 — nuke 13–9

13–2Biggest win — mirage

4Longest win streak

L3Current streak

11–7In matches decided by ≤2 rounds

17Overtime games

Map breakdown

overpassBest map · 60% over 5infernoWeakest map · 44% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	24	13–11	54%	-0.00
ancient	B	23	12–11	52%	-0.01
dust2	B	15	7–8	47%	-0.00
nuke	A	12	7–5	58%	0.00
anubis	A	9	5–4	56%	0.01
inferno	C	9	4–5	44%	-0.01
overpass	A	5	3–2	60%	0.03
cache	—	2	1–1	50%	0.04
vertigo	—	1	1–0	100%	0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,062Matches

51%Win rate

1.03Avg K/D

78.4ADR

44%Headshot %

Clutches & streaks

39%1v1 clutch win

21%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	209	56%	1.10	15.7
Mirage	193	50%	1.01	15.7
Dust2	106	49%	1.01	15.8
Nuke	100	43%	0.99	15.2
Anubis	79	53%	1.00	16.4
Inferno	57	44%	0.97	15.7
Overpass	46	46%	1.05	14.9
Train	34	50%	1.28	16.4

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.

19.8%Headshot accuracy

33.3%Accuracy (enemy spotted)

34.8%Spray accuracy

85.2%Counter-strafing

10.7°Preaim

597msReaction time

26.6%T opening success

47.3%CT opening success

0.61Enemies flashed / flash

7.6%Flash assists

8.99HE damage / grenade

7.63Flashes / 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 26.6366% — below the 40% mark we flag

Spend your practice time on Inferno

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

44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	7–13	-0.01	12%	28 Aug →
mirage	5–13	-0.10	26%	27 Aug →
nuke	9–13	-0.02	14%	27 Aug →
dust2	13–8	0.06	18%	27 Aug →
mirage	5–13	0.04	23%	27 Aug →
anubis	13–9	0.04	14%	23 Aug →
mirage	13–11	-0.06	16%	20 Aug →
ancient	13–3	0.05	13%	15 Aug →
mirage	13–11	0.05	29%	10 Aug →
ancient	9–13	0.01	16%	9 Aug →
inferno	13–16	-0.03	17%	7 Aug →
cache	13–11	0.08	22%	31 Jul →
inferno	16–13	0.05	20%	6 Jun →
dust2	13–11	-0.05	13%	31 May →
ancient	13–7	-0.00	29%	31 May →
ancient	12–16	-0.04	13%	26 May →
dust2	13–10	-0.03	19%	23 May →
ancient	9–13	0.03	20%	17 May →
inferno	3–13	-0.06	35%	14 May →
overpass	13–5	0.03	21%	12 May →
ancient	13–8	-0.02	23%	11 May →
ancient	13–9	-0.04	22%	8 May →
ancient	13–10	0.02	25%	28 Apr →
anubis	3–13	-0.01	9%	26 Apr →
nuke	13–9	0.13	24%	26 Apr →
dust2	11–13	-0.06	17%	25 Apr →
mirage	13–6	0.03	17%	25 Apr →
cache	9–13	0.00	40%	24 Apr →
anubis	13–10	0.01	17%	24 Apr →
nuke	11–13	-0.03	16%	19 Apr →
dust2	4–13	-0.02	26%	14 Apr →
anubis	10–13	-0.02	21%	13 Apr →
ancient	9–13	0.06	28%	12 Apr →
dust2	11–13	-0.01	14%	12 Apr →
ancient	10–13	-0.00	24%	11 Apr →
nuke	13–8	-0.02	8%	10 Apr →
overpass	7–13	-0.04	20%	10 Apr →
mirage	16–13	-0.02	18%	10 Apr →
mirage	6–13	0.06	21%	9 Apr →
anubis	13–10	0.06	26%	8 Apr →
inferno	14–16	-0.07	9%	8 Apr →
ancient	13–9	0.04	20%	7 Apr →
dust2	13–6	-0.01	10%	6 Apr →
mirage	13–2	0.09	19%	6 Apr →
mirage	5–13	-0.00	39%	6 Apr →
inferno	15–19	-0.06	15%	5 Apr →
mirage	13–7	-0.03	7%	5 Apr →
dust2	13–6	0.04	14%	5 Apr →
ancient	16–14	-0.02	19%	5 Apr →
mirage	3–13	-0.03	16%	2 Apr →
mirage	5–13	-0.02	23%	2 Apr →
mirage	11–13	0.05	23%	2 Apr →
ancient	10–13	-0.03	22%	2 Apr →
nuke	10–13	0.04	15%	2 Apr →
inferno	13–5	0.08	22%	2 Apr →
anubis	16–13	0.02	14%	2 Apr →
overpass	10–13	0.01	17%	2 Apr →
mirage	16–12	-0.03	21%	1 Apr →
mirage	12–16	-0.05	14%	31 Mar →
dust2	8–13	-0.03	18%	31 Mar →
nuke	13–10	0.06	11%	29 Mar →
overpass	13–6	0.04	19%	29 Mar →
nuke	5–13	-0.02	11%	28 Mar →
dust2	5–13	-0.05	8%	28 Mar →
mirage	19–16	-0.03	17%	27 Mar →
dust2	13–8	0.08	25%	26 Mar →
mirage	13–11	-0.01	23%	25 Mar →
ancient	11–13	-0.05	17%	25 Mar →
mirage	10–13	-0.05	11%	25 Mar →
dust2	9–13	0.00	10%	25 Mar →
ancient	13–9	-0.03	16%	22 Mar →
ancient	2–13	-0.10	10%	22 Mar →
mirage	19–16	0.01	11%	22 Mar →
inferno	13–3	0.01	22%	21 Mar →
ancient	16–14	-0.00	13%	21 Mar →
nuke	16–14	-0.02	16%	21 Mar →
mirage	7–13	-0.03	17%	21 Mar →
ancient	13–9	-0.04	22%	21 Mar →
nuke	19–17	-0.06	9%	20 Mar →
nuke	8–13	-0.03	23%	19 Mar →
overpass	13–6	0.11	26%	18 Mar →
inferno	9–13	-0.04	8%	16 Mar →
nuke	13–6	0.03	19%	16 Mar →
anubis	13–6	0.07	18%	16 Mar →
dust2	11–13	0.06	11%	15 Mar →
mirage	16–14	0.02	13%	15 Mar →
ancient	3–13	-0.04	12%	12 Mar →
ancient	13–3	0.00	17%	11 Mar →
inferno	13–11	0.03	23%	11 Mar →
ancient	13–6	0.00	14%	11 Mar →
dust2	13–8	0.05	24%	11 Mar →
anubis	3–13	-0.03	9%	11 Mar →
mirage	11–5	0.01	29%	9 Mar →
anubis	5–13	-0.04	10%	8 Mar →
vertigo	13–3	0.04	14%	7 Mar →
mirage	10–13	0.00	24%	4 Mar →
mirage	16–13	-0.02	12%	28 Feb →
nuke	13–4	-0.01	13%	23 Feb →
ancient	9–13	-0.04	15%	23 Feb →
dust2	9–13	-0.07	22%	19 Feb →