juan — CS2 Stats

MX76561198352841672[U:1:392575944]Steam profile ↗✓ No bans

1,496Tracked matches60%Win rate2020Tracked since

1,184Hours in CS

CSDB Rating6.1 SolidPassive Rifler

Premier CS Rating18,104Purple band · top ~16% of ranked players (population est.)

CSDB Leaderboard#10630 of 20035 tracked

FaceitLevel 7Top 42.3% of ranked FACEIT players

WingmanGold Nova III

Ladder ranks via Leetify

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Performance scores

Aim87

Positioning41

Utility48

0–100 skill scores via Leetify.

Recent form

HOT51–45–4Last 10051%Win rateLWWWWWWWWW

Last 10 vs previous 10: +60pp win rate · +0.05 avg rating

Player DNA

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

Aim8.7

Aggression3.4

Utility4.8

Positioning4.1

Opening Duels0.0

Clutch3.0

Sharp aimerStrong 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 85% playstyle similarity

Most alike: aim profile, opening-fight frequency.

Where you differ: lower opening-duel success; lower positioning 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

Strengths

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 47 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.

T-side openings. Opening success drops from 36% on CT to 20% 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

Aim8.7

Positioning4.1

Utility4.8

Mechanics6.6

Opening Duels0.8

Win Impact8.3

Composite 6.1/10 (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 rating0.02+0.03

first ⅓ avg -0.01 → last ⅓ avg 0.02

Reaction time560ms−49ms

first ⅓ avg 609ms → last ⅓ avg 560ms

Headshot accuracy19.9%+1.3%

first ⅓ avg 18.6% → last ⅓ avg 19.9%

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

0.21Best rating — inferno 9–3

13–3Biggest win — ancient

9Longest win streak

10–7In matches decided by ≤2 rounds

13Overtime games

Map breakdown

mirageBest map · 59% over 22anubisWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	22	13–9	59%	0.02
cache	B	15	8–7	53%	-0.01
dust2	C	14	6–8	43%	0.01
ancient	B	13	7–6	54%	0.01
inferno	A	12	7–5	58%	0.01
anubis	D	9	2–7	22%	-0.02
nuke	B	8	4–4	50%	-0.02
vertigo	—	3	2–1	67%	0.07
shelter	—	2	1–1	50%	0.04
train	—	1	1–0	100%	0.08
debris	—	1	0–1	0%	-0.12

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

56,543Lifetime kills

0.99K/D

2,786Matches

42.5%Match win rate

41.6%Headshot %

11.7%Shot accuracy

7,715MVPs

1,184Hours (in match)

2,801Bombs planted

1,012Bombs defused

Most-used weapons

AK-4716,275

AWP9,968

M4A4 / M4A1-S8,120

P2000 / USP-S3,486

Desert Eagle3,428

Glock-182,267

MP91,706

SSG 081,688

MAC-101,518

P250893

Lifetime map wins

5,042dust2

3,304inferno

1,760vertigo

1,572nuke

1,008train

279office

236cbble

40lake

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

Faceit stats

Combat

312Matches

50%Win rate

0.96Avg K/D

71.8ADR

43%Headshot %

Clutches & streaks

35%1v1 clutch win

21%1v2 clutch win

6Longest win streak

Recent Faceit resultsLLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	40	48%	0.89	14.5
Anubis	19	53%	0.90	14.7
Ancient	18	50%	0.80	12.6
Nuke	17	59%	0.99	12.3
Dust2	16	56%	0.93	15.4
Inferno	14	29%	0.92	13.1
Vertigo	12	42%	0.94	13.7
Overpass	8	38%	0.88	11.6

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.

19.7%Headshot accuracy

40.0%Accuracy (enemy spotted)

44.0%Spray accuracy

79.8%Counter-strafing

8.3°Preaim

550msReaction time

19.9%T opening success

36.2%CT opening success

0.42Enemies flashed / flash

6.0%Flash assists

10.13HE damage / grenade

5.60Flashes / 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 0.4217 — 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 19.9152% — 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.

22% win rate across 9 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
anubis	7–11	-0.07	18%	28 Aug →
nuke	13–11	-0.00	13%	28 Aug →
ancient	13–9	-0.00	14%	28 Aug →
cache	13–8	0.08	22%	27 Aug →
ancient	13–3	0.13	33%	27 Aug →
mirage	13–8	0.06	22%	27 Aug →
inferno	13–7	0.08	24%	26 Aug →
dust2	16–12	0.01	19%	25 Aug →
vertigo	13–8	0.02	27%	25 Aug →
train	13–4	0.08	22%	25 Aug →
mirage	5–13	-0.03	35%	21 Aug →
dust2	6–13	0.00	22%	21 Aug →
anubis	6–13	-0.07	23%	21 Aug →
mirage	13–11	-0.09	14%	21 Aug →
ancient	14–16	0.04	16%	21 Aug →
ancient	13–6	0.01	29%	21 Aug →
cache	7–13	-0.09	18%	20 Aug →
nuke	7–13	-0.11	23%	18 Aug →
dust2	9–13	0.07	21%	13 Aug →
mirage	16–13	0.12	14%	13 Aug →
mirage	13–4	0.05	25%	13 Aug →
inferno	13–10	-0.01	19%	13 Aug →
nuke	13–9	-0.03	20%	13 Aug →
nuke	9–6	0.05	16%	13 Aug →
inferno	9–3	0.21	17%	13 Aug →
anubis	16–12	0.00	11%	7 Aug →
ancient	13–8	0.10	20%	7 Aug →
nuke	6–13	0.02	13%	7 Aug →
dust2	8–13	0.06	20%	6 Aug →
inferno	7–13	-0.03	13%	6 Aug →
mirage	2–13	-0.07	15%	6 Aug →
cache	13–5	0.07	24%	3 Aug →
inferno	4–13	-0.03	16%	3 Aug →
dust2	12–12	-0.03	18%	3 Aug →
mirage	7–2	-0.05	13%	3 Aug →
vertigo	13–7	0.14	12%	3 Aug →
nuke	9–13	-0.05	14%	2 Aug →
ancient	6–13	0.03	15%	2 Aug →
inferno	4–13	-0.03	19%	2 Aug →
mirage	7–13	0.01	22%	31 Jul →
mirage	13–3	-0.01	4%	31 Jul →
mirage	13–11	0.01	27%	31 Jul →
cache	13–9	-0.03	21%	31 Jul →
ancient	11–13	-0.01	14%	31 Jul →
dust2	13–7	0.02	25%	31 Jul →
inferno	16–14	-0.01	16%	31 Jul →
anubis	13–5	-0.00	10%	31 Jul →
cache	0–13	-0.05	38%	24 Jul →
dust2	16–12	0.14	11%	24 Jul →
anubis	9–13	-0.05	23%	22 Jul →
ancient	13–5	0.06	22%	22 Jul →
dust2	13–5	0.02	38%	22 Jul →
mirage	13–16	0.07	13%	19 Jul →
vertigo	7–13	0.04	19%	18 Jul →
dust2	5–13	0.08	30%	18 Jul →
anubis	4–13	0.02	13%	18 Jul →
inferno	5–13	-0.01	9%	18 Jul →
cache	13–5	0.07	23%	18 Jul →
mirage	7–13	0.00	20%	18 Jul →
cache	13–7	0.09	18%	18 Jul →
mirage	6–13	0.05	18%	17 Jul →
shelter	9–13	0.05	20%	15 Jul →
shelter	13–9	0.03	11%	15 Jul →
cache	6–13	-0.06	8%	14 Jul →
inferno	13–10	0.03	25%	14 Jul →
dust2	10–13	-0.05	15%	14 Jul →
mirage	13–4	0.05	19%	14 Jul →
cache	15–15	-0.03	18%	14 Jul →
ancient	3–13	-0.04	34%	14 Jul →
anubis	7–13	0.04	19%	13 Jul →
inferno	13–9	0.04	22%	13 Jul →
cache	13–11	-0.01	15%	13 Jul →
mirage	13–3	0.19	27%	13 Jul →
mirage	13–7	0.04	21%	13 Jul →
anubis	9–13	-0.01	19%	13 Jul →
inferno	13–11	0.03	18%	13 Jul →
ancient	7–13	-0.06	13%	12 Jul →
cache	13–11	-0.01	24%	12 Jul →
mirage	11–13	-0.03	9%	12 Jul →
dust2	13–9	0.02	19%	12 Jul →
cache	11–13	0.00	25%	12 Jul →
nuke	3–13	-0.11	25%	12 Jul →
cache	8–13	-0.03	24%	12 Jul →
dust2	13–11	-0.02	19%	12 Jul →
inferno	9–13	-0.09	11%	11 Jul →
mirage	16–14	-0.00	17%	10 Jul →
dust2	9–13	-0.07	18%	10 Jul →
cache	14–16	-0.08	8%	10 Jul →
nuke	13–5	0.10	18%	10 Jul →
debris	8–8	-0.12	21%	10 Jul →
cache	16–14	-0.01	22%	10 Jul →
ancient	13–5	-0.06	8%	10 Jul →
mirage	11–13	-0.04	15%	10 Jul →
ancient	13–8	-0.05	4%	10 Jul →
mirage	16–12	-0.00	10%	10 Jul →
ancient	9–13	-0.04	27%	9 Jul →
anubis	11–13	-0.00	15%	9 Jul →
mirage	8–13	-0.01	25%	9 Jul →
mirage	13–6	0.14	16%	9 Jul →
dust2	15–15	-0.05	27%	9 Jul →