Xiaosheng Ling — CS2 Stats

76561198084781910[U:1:124516182]

2,715Tracked matches50%Win rate2020Tracked since

5,610Hours in CS2Hrs last 2 wks

CSDB Rating7.2 StrongAggressive Rifler

Premier CS Rating22,938Top 50% of 819 CSDB-tracked playersPink band · top ~5.3% of ranked players (population est.)

CSDB Leaderboard#4588 of 17043 tracked

FaceitLevel 10Top 12.4% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 10 median
Headshot rate	67.1%	52.8%
Shot accuracy	21.7%	13.7%
Kill/death ratio	0.97	1.08
Match win rate	44.3%	49.2%

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Performance scores

Aim93

Positioning60

Utility58

0–100 skill scores via Leetify.

Recent form

HOT55–43–2Last 10055%Win rateWLWWWLWWWW

Last 10 vs previous 10: +50pp win rate · +0.00 avg rating

Player DNA

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

Aim9.3

Aggression8.5

Utility5.8

Positioning6.0

Opening Duels3.7

Sharp aimerExcellent counter-strafingEffective flashesLimited utility dependence

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 b1t 96% playstyle similarity

Most alike: utility contribution, 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

Strengths

Aim. Aim score of 93 — the mechanical foundation is a clear strength.

Flashes. 0.83 enemies blinded per flash — utility that consistently lands.

Areas to improve

Positioning. Positioning trails aim by 32 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.

Reaction time. 576ms 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

Aim9.3

Positioning6.0

Utility5.8

Mechanics8.7

Opening Duels3.7

Win Impact5.0

Composite 7.2/10 (Strong), 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 rating0.02+0.00

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time570ms−7ms

first ⅓ avg 578ms → last ⅓ avg 570ms

Headshot accuracy28.0%−0.1%

first ⅓ avg 28.1% → last ⅓ avg 28.0%

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

0.16Best rating — mirage 13–10

13–2Biggest win — overpass

6Longest win streak

6–10In matches decided by ≤2 rounds

9Overtime games

Map breakdown

mirageBest map · 65% over 34cacheWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	34	22–12	65%	0.02
nuke	A	14	8–6	57%	0.01
inferno	A	13	8–5	62%	0.01
ancient	B	11	5–6	45%	0.02
dust2	C	10	4–6	40%	0.01
cache	D	6	2–4	33%	0.02
anubis	B	6	3–3	50%	0.00
overpass	B	6	3–3	50%	0.04

Across the last 100 tracked matches.

Lifetime stats

248,910Lifetime kills

0.97K/D

7,432Matches

44.3%Match win rate

67.1%Headshot % · Top 10% of Level 10 players

21.7%Shot accuracy · Top 5% of Level 10 players

21,240MVPs

5,403Hours (in match)

8,136Bombs planted

2,432Bombs defused

Most-used weapons

AK-47108,912

Desert Eagle43,507

M4A4 / M4A1-S36,384

P2000 / USP-S15,323

AWP13,342

Glock-186,376

SSG 083,714

FAMAS2,706

Galil AR2,582

Knife2,174

Lifetime map wins

11,422dust2

10,206inferno

5,436nuke

2,963vertigo

2,948train

1,336cbble

810office

307italy

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

Faceit stats

Combat

1,251Matches

52%Win rate

1.58Avg K/D

—ADR

57%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

10Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	28	50%	1.42	21.4
Overpass	16	44%	1.46	19.5
Inferno	15	47%	1.25	18.8
Vertigo	14	36%	1.35	21.1
Nuke	9	22%	1.15	18.8
Ancient	8	38%	1.32	20.9
Anubis	6	0%	1.18	23.2

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.

28.6%Headshot accuracy

38.5%Accuracy (enemy spotted)

43.6%Spray accuracy

89.0%Counter-strafing

9.1°Preaim

576msReaction time

39.8%T opening success

49.8%CT opening success

0.83Enemies flashed / flash

9.2%Flash assists

12.43HE damage / grenade

4.05Flashes / 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 39.7534% — below the 40% mark we flag

Spend your practice time on Cache

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–9	0.14	25%	26 Aug →
mirage	2–13	-0.05	10%	20 Aug →
cache	13–11	0.07	38%	20 Aug →
mirage	13–7	0.06	23%	16 Aug →
nuke	13–6	0.06	43%	12 Aug →
inferno	9–13	-0.02	38%	11 Aug →
nuke	13–5	-0.04	37%	6 Aug →
mirage	13–6	0.01	37%	5 Aug →
mirage	13–11	0.08	43%	4 Aug →
anubis	13–11	0.00	27%	26 Jul →
cache	7–13	-0.00	58%	21 Jul →
ancient	16–14	0.03	20%	18 Jul →
cache	6–13	0.08	25%	18 Jul →
cache	11–13	0.04	41%	17 Jul →
mirage	13–10	0.04	16%	16 Jul →
nuke	13–3	0.09	20%	12 Jul →
cache	5–13	-0.02	35%	11 Jul →
overpass	11–13	0.02	35%	2 Jul →
nuke	3–13	-0.06	29%	1 Jul →
dust2	12–16	0.03	24%	1 Jul →
overpass	4–13	0.04	26%	1 Jul →
nuke	13–8	0.02	32%	29 Jun →
dust2	14–16	-0.01	38%	28 Jun →
mirage	13–7	0.11	21%	28 Jun →
mirage	11–13	-0.05	14%	27 Jun →
mirage	6–3	0.03	24%	27 Jun →
mirage	13–4	0.01	20%	27 Jun →
inferno	1–13	-0.04	7%	27 Jun →
dust2	7–13	-0.08	18%	26 Jun →
mirage	11–13	-0.01	18%	24 Jun →
mirage	8–13	-0.05	29%	23 Jun →
mirage	13–4	-0.02	35%	23 Jun →
inferno	9–13	0.01	15%	21 Jun →
cache	13–9	-0.05	71%	21 Jun →
inferno	13–9	-0.01	36%	20 Jun →
ancient	5–2	-0.05	36%	20 Jun →
mirage	7–13	0.01	30%	18 Jun →
mirage	13–6	-0.04	33%	14 Jun →
ancient	13–5	0.14	25%	13 Jun →
inferno	13–5	0.09	29%	12 Jun →
mirage	13–11	0.03	21%	12 Jun →
overpass	13–4	0.07	15%	11 Jun →
nuke	13–5	-0.02	25%	11 Jun →
mirage	15–15	0.04	29%	10 Jun →
anubis	13–9	0.05	28%	10 Jun →
mirage	13–10	0.01	37%	9 Jun →
mirage	16–14	-0.01	35%	9 Jun →
mirage	13–10	-0.01	21%	8 Jun →
ancient	9–13	0.02	18%	8 Jun →
dust2	10–13	-0.06	27%	8 Jun →
inferno	13–10	0.06	35%	8 Jun →
inferno	13–5	0.07	42%	8 Jun →
overpass	8–13	-0.08	14%	7 Jun →
inferno	13–8	-0.01	15%	7 Jun →
inferno	13–6	0.04	36%	7 Jun →
anubis	13–10	0.04	33%	7 Jun →
ancient	13–6	0.05	22%	6 Jun →
nuke	13–9	-0.01	39%	6 Jun →
inferno	10–13	0.01	50%	6 Jun →
nuke	13–6	0.06	28%	6 Jun →
ancient	13–3	-0.05	10%	6 Jun →
nuke	8–13	0.02	42%	6 Jun →
inferno	1–13	-0.07	41%	5 Jun →
mirage	13–4	-0.01	25%	5 Jun →
ancient	14–16	0.11	25%	5 Jun →
mirage	13–10	0.16	35%	4 Jun →
dust2	13–8	0.11	32%	4 Jun →
nuke	7–13	-0.01	29%	3 Jun →
overpass	13–2	0.03	34%	3 Jun →
ancient	7–13	0.04	20%	3 Jun →
nuke	9–13	-0.04	24%	3 Jun →
mirage	13–5	0.06	52%	3 Jun →
nuke	13–10	-0.00	40%	3 Jun →
mirage	13–6	-0.01	23%	2 Jun →
nuke	10–13	0.07	37%	2 Jun →
mirage	10–13	0.03	24%	2 Jun →
dust2	12–16	-0.01	27%	2 Jun →
mirage	13–9	0.05	30%	1 Jun →
mirage	13–8	0.03	30%	1 Jun →
ancient	6–13	0.01	48%	1 Jun →
ancient	14–16	0.01	21%	1 Jun →
mirage	10–13	0.02	26%	31 May →
anubis	11–13	-0.04	21%	31 May →
mirage	13–4	0.04	32%	31 May →
inferno	13–9	0.01	38%	31 May →
mirage	11–13	-0.03	19%	31 May →
dust2	13–10	0.08	27%	30 May →
anubis	6–13	-0.02	24%	30 May →
dust2	11–13	-0.04	25%	28 May →
mirage	3–13	-0.01	30%	27 May →
inferno	13–9	-0.00	26%	27 May →
nuke	8–13	0.02	29%	24 May →
dust2	13–6	0.01	30%	23 May →
mirage	8–13	0.02	26%	23 May →
dust2	13–4	0.09	25%	23 May →
ancient	8–13	-0.05	21%	20 May →
mirage	13–9	-0.02	20%	20 May →
overpass	13–5	0.14	26%	20 May →
mirage	15–15	0.03	25%	18 May →
anubis	4–13	-0.00	15%	18 May →