YuJiMin™ — CS2 Stats

76561198216807700[U:1:256541972]Steam profile ↗✓ No bans

1,030Tracked matches54%Win rate2024Tracked since

CSDB Rating4.9 Developing

Premier CS Rating18,693Purple band · top ~13.7% of ranked players (population est.)

CSDB Leaderboard#11685 of 23549 tracked

FaceitLevel 6 · 1,538 ELOTop 54.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim54

Positioning49

Utility33

0–100 skill scores via Leetify.

Recent form

COLD49–45–6Last 10049%Win rateLLWLWLLLLW

Last 10 vs previous 10: -40pp win rate · +0.03 avg rating

Player DNA

Aim5.4

Aggression8.5

Utility3.3

Positioning4.9

Opening Duels4.1

Clutch2.6

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 ropz 82% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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

Reaction time. 620ms 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

Aim5.4

Positioning4.9

Utility3.3

Mechanics5.0

Opening Duels4.1

Win Impact6.2

Composite 4.9/10 (Developing), 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 rating0.01+0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time612ms−25ms

first ⅓ avg 637ms → last ⅓ avg 612ms

Headshot accuracy16.4%−2.2%

first ⅓ avg 18.6% → last ⅓ avg 16.4%

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

0.20Best rating — mirage 13–5

13–1Biggest win — cache

5Longest win streak

L2Current streak

4–8In matches decided by ≤2 rounds

7Overtime games

Map breakdown

anubisBest map · 82% over 11ancientWeakest map · 38% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	25	12–13	48%	-0.01
mirage	B	15	7–8	47%	0.01
nuke	B	11	5–6	45%	-0.01
anubis	S	11	9–2	82%	0.01
cache	C	9	4–5	44%	0.02
ancient	C	8	3–5	38%	0.00
inferno	C	7	3–4	43%	-0.02
train	A	5	3–2	60%	0.04
vertigo	—	4	1–3	25%	0.06
overpass	—	3	1–2	33%	-0.01
office	—	2	1–1	50%	0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

756Matches

49%Win rate

1.05Avg K/D

78.4ADR

44%Headshot %

Clutches & streaks

33%1v1 clutch win

20%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	166	52%	0.99	15.0
Mirage	166	54%	1.07	15.1
Inferno	112	44%	1.08	16.3
Anubis	79	49%	1.04	16.3
Ancient	78	46%	0.97	14.5
Nuke	78	46%	1.08	15.5
Train	39	56%	1.36	18.1
Overpass	20	35%	0.86	14.4

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.

15.8%Headshot accuracy

33.7%Accuracy (enemy spotted)

37.0%Spray accuracy

72.5%Counter-strafing

10.7°Preaim

620msReaction time

39.3%T opening success

53.6%CT opening success

0.49Enemies flashed / flash

5.0%Flash assists

5.77HE damage / grenade

3.03Flashes / 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 0.4937 — 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 39.3197% — below the 40% mark we flag

Spend your practice time on Ancient

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 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	2–13	0.03	14%	28 Aug →
cache	9–13	-0.04	21%	28 Aug →
train	13–6	0.07	13%	14 Aug →
dust2	5–13	-0.07	6%	18 Jul →
inferno	13–5	0.01	18%	6 Jul →
dust2	6–13	-0.02	18%	6 Jul →
ancient	11–13	0.05	15%	6 Jul →
nuke	12–16	-0.08	8%	6 Jul →
dust2	9–13	0.01	11%	6 Jul →
mirage	13–5	0.20	26%	3 Jul →
cache	13–6	-0.04	21%	3 Jul →
cache	13–1	0.01	16%	3 Jul →
mirage	13–3	0.04	7%	26 Jun →
dust2	13–5	0.07	21%	26 Jun →
dust2	5–13	-0.05	17%	25 Jun →
mirage	13–9	-0.00	17%	24 Jun →
dust2	13–6	0.01	13%	24 Jun →
nuke	1–13	-0.08	14%	24 Jun →
inferno	10–13	-0.06	15%	18 Jun →
train	13–6	-0.01	24%	17 Jun →
train	3–12	0.05	36%	17 Jun →
train	12–12	0.03	12%	17 Jun →
mirage	13–8	0.01	13%	14 Jun →
dust2	13–2	-0.04	16%	13 Jun →
ancient	7–13	-0.01	19%	11 Jun →
anubis	13–10	0.06	20%	11 Jun →
nuke	13–7	0.03	18%	10 Jun →
dust2	13–9	-0.04	12%	10 Jun →
overpass	11–13	0.00	10%	7 Jun →
vertigo	12–12	0.06	12%	5 Jun →
vertigo	9–13	0.15	20%	5 Jun →
vertigo	6–13	-0.02	20%	5 Jun →
anubis	13–8	-0.03	17%	1 Jun →
anubis	12–12	0.06	24%	28 May →
mirage	13–4	0.03	21%	28 May →
anubis	13–7	0.00	8%	28 May →
dust2	7–13	-0.01	21%	25 May →
nuke	13–6	-0.01	23%	23 May →
nuke	11–13	-0.04	13%	23 May →
ancient	7–0	0.04	13%	23 May →
ancient	13–6	-0.01	19%	23 May →
dust2	13–10	0.00	25%	23 May →
ancient	8–13	-0.02	16%	22 May →
office	5–13	0.05	14%	16 May →
office	13–10	0.02	20%	16 May →
dust2	7–13	-0.02	18%	16 May →
cache	13–3	0.12	34%	10 May →
cache	12–12	0.12	23%	10 May →
dust2	13–7	-0.04	22%	6 May →
dust2	3–11	0.03	15%	6 May →
cache	3–13	-0.09	23%	3 May →
mirage	8–13	-0.04	31%	2 May →
dust2	13–6	-0.03	21%	2 May →
mirage	11–13	-0.01	13%	2 May →
cache	13–6	0.05	14%	1 May →
overpass	13–10	0.02	12%	25 Apr →
cache	6–13	-0.01	4%	25 Apr →
mirage	12–12	0.07	20%	25 Apr →
train	13–4	0.07	10%	25 Apr →
dust2	4–13	-0.06	15%	24 Apr →
ancient	2–13	-0.10	11%	20 Apr →
overpass	11–13	-0.04	24%	19 Apr →
mirage	7–13	0.01	26%	19 Apr →
ancient	11–13	-0.02	13%	19 Apr →
anubis	13–7	-0.03	22%	17 Apr →
mirage	13–11	-0.02	22%	15 Apr →
dust2	9–13	-0.04	13%	15 Apr →
nuke	5–13	-0.07	18%	15 Apr →
anubis	13–4	0.10	24%	8 Apr →
inferno	16–14	-0.00	13%	8 Apr →
dust2	5–13	-0.06	22%	8 Apr →
vertigo	13–8	0.05	65%	8 Apr →
nuke	13–8	-0.01	15%	4 Apr →
inferno	6–13	-0.02	19%	4 Apr →
anubis	13–3	0.04	16%	4 Apr →
anubis	13–7	0.03	11%	4 Apr →
mirage	7–13	-0.05	38%	1 Apr →
dust2	13–7	0.11	21%	27 Mar →
inferno	13–1	-0.02	9%	27 Mar →
mirage	10–13	0.00	6%	27 Mar →
dust2	9–13	-0.06	21%	27 Mar →
ancient	13–5	0.08	21%	19 Mar →
dust2	13–8	0.03	14%	19 Mar →
mirage	14–16	-0.03	17%	19 Mar →
inferno	5–13	-0.04	16%	16 Mar →
dust2	16–13	0.06	16%	16 Mar →
dust2	13–8	0.01	19%	16 Mar →
anubis	13–9	0.00	5%	16 Mar →
nuke	13–11	0.04	15%	16 Mar →
anubis	13–11	-0.01	17%	9 Mar →
mirage	13–16	-0.04	21%	9 Mar →
nuke	2–13	-0.03	31%	7 Mar →
dust2	13–5	0.06	13%	7 Mar →
anubis	14–16	-0.07	9%	6 Mar →
nuke	13–3	0.12	24%	6 Mar →
nuke	5–13	0.06	28%	6 Mar →
dust2	15–15	-0.02	11%	5 Mar →
mirage	13–9	-0.02	13%	5 Mar →
dust2	10–13	0.03	11%	5 Mar →
inferno	7–13	-0.02	21%	5 Mar →