Yue — CS2 Stats

76561197960527363[U:1:261635]

2,564Tracked matches59%Win rate2020Tracked since

CSDB Rating5.7 SolidAggressive Rifler

Premier CS Rating13,390Blue band · top ~36.9% of ranked players (population est.)

CSDB Leaderboard#27272 of 41379 tracked

FaceitLevel 6 · 1,205 ELOTop 54.0% of ranked FACEIT players

WingmanMaster Guardian II

Ladder ranks via Leetify

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Performance scores

Aim74

Positioning52

Utility55

0–100 skill scores via Leetify.

Recent form

STEADY54–43–3Last 10054%Win rateLWLLWWWLWT

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.4

Aggression9.0

Utility5.5

Positioning5.2

Opening Duels3.7

Clutch3.6

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 jL 90% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower positioning profile; 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 53% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 565ms 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

Aim7.4

Positioning5.2

Utility5.5

Mechanics5.0

Opening Duels3.7

Win Impact7.9

Composite 5.7/10 (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 rating0.00−0.00

first ⅓ avg 0.00 → last ⅓ avg 0.00

Reaction time579ms−18ms

first ⅓ avg 597ms → last ⅓ avg 579ms

Headshot accuracy17.4%+0.2%

first ⅓ avg 17.2% → last ⅓ avg 17.4%

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

0.14Best rating — nuke 13–4

13–2Biggest win — cache

7Longest win streak

7–10In matches decided by ≤2 rounds

8Overtime games

Map breakdown

cacheBest map · 71% over 7infernoWeakest map · 40% over 25

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	25	10–15	40%	-0.00
nuke	S	20	13–7	65%	0.01
mirage	A	14	8–6	57%	-0.02
anubis	B	13	7–6	54%	-0.01
dust2	A	9	5–4	56%	0.02
ancient	B	8	4–4	50%	0.01
cache	S	7	5–2	71%	0.01
train	—	2	1–1	50%	0.04
overpass	—	1	0–1	0%	-0.06
office	—	1	1–0	100%	-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 25). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

919Matches

51%Win rate

0.80Avg K/D

66.1ADR

40%Headshot %

Clutches & streaks

38%1v1 clutch win

16%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	184	55%	0.88	12.5
Nuke	140	54%	0.80	12.1
Mirage	127	44%	0.78	11.9
Anubis	115	57%	0.80	12.1
Ancient	85	40%	0.78	12.4
Overpass	53	51%	0.85	12.0
Train	21	52%	0.88	14.1
Dust2	16	44%	0.88	13.3

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.

17.1%Headshot accuracy

38.7%Accuracy (enemy spotted)

40.9%Spray accuracy

72.5%Counter-strafing

9.7°Preaim

565msReaction time

37.0%T opening success

52.8%CT opening success

0.42Enemies flashed / flash

6.9%Flash assists

9.47HE damage / grenade

7.00Flashes / 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 0.4186 — 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 36.9774% — 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.

40% win rate across 25 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
train	6–13	-0.03	9%	29 Aug →
cache	13–2	0.11	19%	29 Aug →
inferno	10–13	-0.02	24%	29 Aug →
anubis	6–13	-0.02	8%	29 Aug →
mirage	13–8	-0.02	8%	26 Aug →
cache	13–10	0.04	12%	26 Aug →
mirage	13–9	-0.04	12%	25 Aug →
ancient	10–13	-0.04	16%	24 Aug →
inferno	13–8	0.06	13%	24 Aug →
inferno	15–15	0.01	25%	24 Aug →
train	13–5	0.11	17%	23 Aug →
nuke	13–7	-0.05	26%	23 Aug →
overpass	5–13	-0.06	19%	22 Aug →
anubis	13–5	0.00	15%	22 Aug →
dust2	7–13	0.05	22%	22 Aug →
inferno	8–13	0.05	18%	22 Aug →
nuke	14–16	-0.01	13%	20 Aug →
anubis	13–3	0.08	13%	20 Aug →
anubis	6–13	-0.03	11%	20 Aug →
nuke	13–6	-0.01	20%	19 Aug →
anubis	13–7	0.03	23%	19 Aug →
nuke	13–7	-0.00	20%	18 Aug →
inferno	13–6	-0.01	14%	18 Aug →
nuke	13–6	0.05	14%	18 Aug →
anubis	13–11	-0.06	13%	17 Aug →
inferno	13–11	-0.01	24%	17 Aug →
nuke	5–13	-0.05	19%	17 Aug →
mirage	13–9	-0.02	26%	16 Aug →
mirage	10–13	-0.04	23%	16 Aug →
mirage	4–13	-0.06	13%	16 Aug →
dust2	13–9	0.07	19%	15 Aug →
cache	13–9	0.02	27%	15 Aug →
anubis	11–13	-0.06	19%	14 Aug →
nuke	13–10	0.03	15%	14 Aug →
dust2	13–11	-0.05	14%	14 Aug →
inferno	13–10	-0.06	23%	13 Aug →
nuke	13–4	0.14	22%	12 Aug →
cache	3–13	-0.05	20%	12 Aug →
ancient	6–13	0.07	19%	12 Aug →
ancient	13–4	0.01	26%	11 Aug →
anubis	13–8	-0.01	19%	11 Aug →
mirage	13–7	0.01	23%	10 Aug →
ancient	13–8	0.03	17%	10 Aug →
inferno	9–13	-0.01	11%	10 Aug →
dust2	13–5	0.10	22%	10 Aug →
mirage	13–9	0.04	17%	10 Aug →
ancient	9–13	0.01	19%	9 Aug →
mirage	13–16	-0.04	20%	9 Aug →
dust2	14–16	0.00	26%	9 Aug →
inferno	13–11	-0.05	12%	9 Aug →
dust2	13–9	0.03	31%	8 Aug →
ancient	13–9	0.02	18%	8 Aug →
inferno	17–19	-0.01	29%	6 Aug →
cache	13–6	-0.05	6%	6 Aug →
inferno	1–7	-0.10	40%	6 Aug →
mirage	10–13	-0.03	23%	5 Aug →
anubis	13–4	0.06	28%	5 Aug →
inferno	13–8	0.02	21%	5 Aug →
nuke	2–13	-0.06	15%	5 Aug →
dust2	13–9	-0.01	15%	5 Aug →
inferno	13–10	-0.05	16%	4 Aug →
anubis	11–13	-0.02	24%	4 Aug →
ancient	5–13	-0.06	27%	4 Aug →
inferno	11–13	0.04	31%	3 Aug →
anubis	13–2	-0.02	29%	3 Aug →
nuke	13–11	-0.03	20%	3 Aug →
nuke	13–7	0.04	7%	3 Aug →
cache	13–3	0.06	30%	3 Aug →
inferno	15–15	0.00	14%	2 Aug →
nuke	13–8	-0.01	13%	2 Aug →
ancient	13–9	0.02	19%	2 Aug →
inferno	7–13	0.01	9%	1 Aug →
nuke	13–6	0.04	25%	1 Aug →
nuke	13–5	0.09	30%	31 Jul →
inferno	13–11	0.04	10%	31 Jul →
inferno	13–16	-0.03	22%	30 Jul →
inferno	11–13	-0.03	21%	30 Jul →
anubis	11–13	0.02	14%	29 Jul →
inferno	3–13	-0.02	18%	26 Jul →
nuke	8–13	-0.08	28%	26 Jul →
nuke	13–8	0.01	15%	23 Jul →
inferno	13–5	0.04	14%	23 Jul →
inferno	10–13	-0.03	21%	23 Jul →
anubis	2–13	-0.07	23%	23 Jul →
mirage	13–11	0.05	17%	21 Jul →
nuke	13–5	0.12	23%	16 Jul →
inferno	10–13	0.01	30%	15 Jul →
inferno	11–13	0.07	12%	13 Jul →
dust2	10–13	0.03	12%	12 Jul →
nuke	8–13	0.04	12%	12 Jul →
cache	11–13	-0.04	14%	12 Jul →
mirage	7–1	-0.01	6%	12 Jul →
nuke	9–13	-0.03	14%	11 Jul →
mirage	13–10	-0.03	15%	11 Jul →
dust2	4–13	-0.05	25%	11 Jul →
nuke	9–13	-0.05	10%	10 Jul →
mirage	15–15	-0.00	10%	9 Jul →
mirage	3–13	-0.11	15%	9 Jul →
inferno	13–5	0.06	15%	9 Jul →
office	13–6	-0.03	15%	9 Jul →