J1nX [A] — CS2 Stats

76561197978839463[U:1:18573735]

1,159Tracked matches66%Win rate2020Tracked since

CSDB Rating8.5 EliteEntry Fragger

Premier CS Rating24,459Top 50% of 819 CSDB-tracked playersPink band · top ~3.6% of ranked players (population est.)

FaceitLevel 3Top 90.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim94

Positioning72

Utility66

0–100 skill scores via Leetify.

Recent form

STEADY63–35–2Last 10063%Win rateWLWLWLWWWL

Last 10 vs previous 10: -10pp win rate · +0.04 avg rating

Player DNA

Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.

Aim9.4

Aggression10.0

Utility6.6

Positioning7.2

Opening Duels7.6

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 s1mple 97% playstyle similarity

Most alike: opening-fight frequency, 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 94 — the mechanical foundation is a clear strength.

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

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

Aim9.4

Positioning7.2

Utility6.6

Mechanics8.9

Opening Duels7.6

Win Impact10.0

Composite 8.5/10 (Elite), 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 rating0.04+0.00

first ⅓ avg 0.04 → last ⅓ avg 0.04

Reaction time486ms−35ms

first ⅓ avg 521ms → last ⅓ avg 486ms

Headshot accuracy21.4%+6.0%

first ⅓ avg 15.4% → last ⅓ avg 21.4%

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

0.18Best rating — dust2 13–8

13–0Biggest win — overpass

10Longest win streak

5–4In matches decided by ≤2 rounds

7Overtime games

Map breakdown

nukeBest map · 89% over 9mirageWeakest map · 38% over 13

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	27	18–9	67%	0.04
cache	B	14	7–7	50%	0.06
mirage	C	13	5–8	38%	0.03
inferno	S	12	8–4	67%	0.05
ancient	B	10	5–5	50%	0.02
nuke	S	9	8–1	89%	0.06
anubis	S	8	6–2	75%	0.06
overpass	S	6	5–1	83%	0.03
train	—	1	1–0	100%	0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

21.5%Headshot accuracy

38.5%Accuracy (enemy spotted)

38.4%Spray accuracy

89.8%Counter-strafing

6.1°Preaim

482msReaction time

58.4%T opening success

62.3%CT opening success

0.58Enemies flashed / flash

3.8%Flash assists

14.31HE damage / grenade

9.54Flashes / match

Recommended for you

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 13 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
inferno	13–11	0.09	14%	2 Aug →
cache	10–13	0.03	27%	2 Aug →
anubis	13–8	0.07	27%	31 Jul →
dust2	14–16	0.08	16%	31 Jul →
nuke	13–5	0.12	13%	31 Jul →
cache	8–13	0.05	21%	31 Jul →
dust2	13–7	0.03	30%	30 Jul →
inferno	13–7	0.04	22%	30 Jul →
nuke	13–9	0.12	37%	30 Jul →
dust2	9–13	0.11	27%	30 Jul →
inferno	13–4	-0.00	25%	30 Jul →
inferno	13–3	0.10	31%	29 Jul →
anubis	13–6	-0.01	22%	29 Jul →
dust2	15–15	0.05	26%	27 Jul →
cache	13–8	0.02	21%	26 Jul →
cache	7–13	0.01	14%	12 Jul →
ancient	13–6	0.06	20%	12 Jul →
anubis	13–8	0.05	19%	12 Jul →
cache	13–3	0.07	38%	12 Jul →
dust2	5–13	0.01	17%	12 Jul →
cache	13–9	0.11	9%	12 Jul →
cache	6–13	-0.02	20%	12 Jul →
ancient	5–13	-0.02	25%	11 Jul →
dust2	13–6	0.09	21%	11 Jul →
cache	13–6	0.11	12%	11 Jul →
ancient	13–2	0.02	24%	11 Jul →
inferno	11–13	-0.01	19%	11 Jul →
dust2	13–6	-0.01	22%	11 Jul →
dust2	13–9	-0.03	19%	11 Jul →
mirage	3–13	-0.00	7%	10 Jul →
mirage	5–13	-0.08	14%	10 Jul →
nuke	4–13	0.06	20%	9 Jul →
cache	13–4	0.07	28%	9 Jul →
ancient	13–3	0.05	16%	9 Jul →
ancient	5–13	-0.03	10%	9 Jul →
train	13–1	0.04	6%	8 Jul →
cache	13–3	-0.03	24%	8 Jul →
anubis	13–8	0.18	19%	8 Jul →
overpass	13–4	0.03	18%	8 Jul →
inferno	10–13	0.04	20%	7 Jul →
mirage	7–13	0.09	15%	7 Jul →
mirage	13–6	0.05	23%	7 Jul →
cache	11–13	0.09	20%	7 Jul →
mirage	12–12	0.03	6%	7 Jul →
cache	9–13	-0.01	20%	7 Jul →
mirage	16–13	0.04	21%	6 Jul →
mirage	2–8	0.02	38%	6 Jul →
mirage	7–13	-0.07	16%	5 Jul →
dust2	13–16	-0.02	28%	5 Jul →
dust2	8–13	-0.03	15%	5 Jul →
dust2	13–3	0.00	22%	4 Jul →
cache	13–6	0.18	25%	4 Jul →
nuke	13–4	0.15	16%	4 Jul →
dust2	13–8	0.18	21%	4 Jul →
cache	9–13	0.11	18%	4 Jul →
mirage	13–4	0.16	14%	4 Jul →
inferno	0–13	-0.08	19%	4 Jul →
inferno	13–7	0.11	28%	4 Jul →
ancient	5–13	0.04	14%	4 Jul →
nuke	13–9	-0.01	23%	25 Mar →
anubis	13–5	0.07	11%	23 Mar →
ancient	13–3	0.09	8%	21 Mar →
dust2	13–6	0.06	9%	21 Mar →
anubis	13–3	0.07	11%	21 Mar →
dust2	13–7	-0.01	20%	19 Mar →
nuke	13–9	-0.00	24%	19 Mar →
dust2	13–3	0.05	30%	17 Mar →
inferno	13–6	0.16	17%	12 Mar →
anubis	5–13	0.07	19%	12 Mar →
overpass	13–0	-0.01	30%	12 Mar →
dust2	13–8	0.07	12%	8 Mar →
dust2	13–4	0.09	22%	8 Mar →
overpass	16–14	0.08	25%	7 Mar →
overpass	8–13	-0.04	19%	7 Mar →
dust2	10–13	0.07	7%	25 Feb →
dust2	13–11	0.05	16%	25 Feb →
dust2	13–9	0.08	14%	21 Feb →
overpass	13–0	0.12	18%	21 Feb →
inferno	13–10	0.08	12%	17 Feb →
nuke	13–10	0.10	19%	17 Feb →
dust2	13–3	0.02	14%	17 Feb →
dust2	13–7	0.03	6%	17 Feb →
dust2	13–8	0.04	9%	13 Feb →
nuke	13–6	0.03	19%	13 Feb →
mirage	13–3	0.12	20%	13 Feb →
dust2	3–13	-0.08	0%	8 Feb →
mirage	12–16	0.09	23%	5 Feb →
dust2	13–11	0.05	19%	5 Feb →
mirage	1–13	-0.05	9%	5 Feb →
inferno	9–1	0.15	33%	3 Feb →
inferno	5–9	-0.08	5%	3 Feb →
mirage	13–4	0.06	6%	31 Jan →
ancient	2–13	-0.07	3%	31 Jan →
anubis	14–16	0.00	18%	31 Jan →
dust2	5–13	-0.03	17%	31 Jan →
nuke	13–11	-0.03	7%	31 Jan →
ancient	3–13	0.05	10%	31 Jan →
ancient	13–3	-0.02	9%	24 Jan →
overpass	13–6	0.01	34%	24 Jan →
dust2	13–2	0.12	16%	24 Jan →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win StreakAim 90+

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