xiaolongbao

xiaolongbao — CS2 Stats

US76561199563501777[U:1:1603236049]Steam profile ↗

529Tracked matches45%Win rate2024Tracked since
1,400Hours in CS0Hrs last 2 wks
CSDB Rating6.1 SolidAggressive Rifler
WingmanGold Nova III
Ladder ranks via Leetify

Performance scores

Aim79
Positioning63
Utility34

0–100 skill scores via Leetify.

Recent form

STEADY44506Last 10044%Win rateLWLLLWWWWW

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.9
Aggression8.5
Utility3.4
Positioning6.3
Opening Duels3.9
Clutch0.0

Excellent counter-strafingStrong 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

ropz

Plays most like ropz 88% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

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 54% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 633ms 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

Aim7.9
Positioning6.3
Utility3.4
Mechanics8.5
Opening Duels3.9
Win Impact3.3

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 rating0.03+0.03
first ⅓ avg -0.00 → last ⅓ avg 0.03
Reaction time672ms+18ms
first ⅓ avg 654ms → last ⅓ avg 672ms
Headshot accuracy20.2%+2.0%
first ⅓ avg 18.2% → last ⅓ avg 20.2%

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

0.36Best rating — nuke 9–1
130Biggest win — dust2
6Longest win streak
75In matches decided by ≤2 rounds
2Overtime games

Map breakdown

mirageBest map · 67% over 9ancientWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
infernoC41182344%0.02
nukeC1881044%0.02
dust2B105550%0.03
ancientD91811%-0.02
mirageS96367%0.01
vertigoB63350%-0.04
cache21150%0.06
debris110100%0.09
eldorado110100%-0.06
anubis1010%-0.00
overpass1010%0.00
train1010%0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

26,524Lifetime kills
0.51K/D
2,521Matches
24.0%Match win rate
40.6%Headshot %
0.0%Shot accuracy
3,008MVPs
582Hours (in match)
925Bombs planted
310Bombs defused

Most-used weapons

Lifetime map wins

3,466dust2
2,871inferno
804nuke
725vertigo
89office
55italy
10train
1ar_shoots

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

Faceit stats

Combat

2Matches
0%Win rate
0.43Avg K/D
68.1ADR
64%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Dust210%0.6710.0
Mirage10%0.193.0

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.

19.0%Headshot accuracy
36.3%Accuracy (enemy spotted)
41.4%Spray accuracy
88.1%Counter-strafing
9.4°Preaim
633msReaction time
37.4%T opening success
53.5%CT opening success
0.44Enemies flashed / flash
4.5%Flash assists
4.68HE damage / grenade
7.25Flashes / 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.

  1. 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 0.4412 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 37.4144% — 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.

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient3–13-0.078%31 Jul
mirage13–7-0.0218%30 Jul
dust24–13-0.0325%30 Jul
nuke6–13-0.0724%30 Jul
inferno3–9-0.0747%30 Jul
inferno9–60.118%30 Jul
cache13–50.1820%30 Jul
mirage13–10-0.018%30 Jul
mirage13–60.0211%30 Jul
nuke13–6-0.0419%30 Jul
dust213–50.0218%30 Jul
inferno4–130.0118%26 Jul
dust213–110.0921%26 Jul
inferno13–7-0.0210%26 Jul
inferno6–9-0.0221%26 Jul
ancient9–13-0.0418%16 Jul
vertigo3–10.036%16 Jul
debris9–70.0923%16 Jul
mirage13–80.0414%10 Jul
mirage3–130.0322%10 Jul
eldorado9–6-0.0634%10 Jul
nuke9–50.0522%10 Jul
nuke9–50.0926%10 Jul
vertigo8–80.0113%10 Jul
inferno9–60.0731%10 Jul
inferno1–9-0.1310%10 Jul
inferno9–70.1522%10 Jul
inferno5–9-0.1138%10 Jul
inferno9–60.1425%10 Jul
nuke6–90.0526%6 Jul
vertigo9–7-0.134%1 Jul
nuke9–30.1543%1 Jul
nuke9–10.3616%1 Jul
cache3–13-0.0714%28 Jun
dust25–13-0.0231%28 Jun
inferno2–9-0.1216%28 Jun
inferno5–90.0511%28 Jun
inferno9–50.1657%28 Jun
vertigo9–50.1324%28 Jun
inferno8–8-0.0614%27 Jun
inferno9–30.2921%27 Jun
inferno5–90.0922%27 Jun
inferno7–90.0421%27 Jun
inferno9–50.1124%27 Jun
anubis6–13-0.0017%20 Jun
overpass1–100.0035%20 Jun
ancient3–130.0133%20 Jun
nuke4–130.0422%20 Jun
inferno3–9-0.1138%20 Jun
train12–120.0635%20 Jun
inferno13–80.0832%20 Jun
dust213–00.0614%20 Jun
inferno8–8-0.0314%20 Jun
inferno6–13-0.0421%19 Jun
ancient5–13-0.0520%19 Jun
inferno13–80.0510%19 Jun
nuke4–9-0.1015%19 Jun
inferno7–90.0530%19 Jun
inferno7–9-0.0522%18 Jun
nuke7–9-0.0543%18 Jun
inferno8–8-0.0216%14 Jun
inferno9–10.1829%14 Jun
inferno5–90.0520%14 Jun
inferno9–7-0.0420%14 Jun
inferno9–4-0.0317%14 Jun
ancient10–13-0.048%12 Jun
mirage4–13-0.078%12 Jun
inferno6–9-0.0211%11 Jun
inferno9–50.0727%11 Jun
nuke9–13-0.0329%6 Jun
nuke6–13-0.0226%6 Jun
inferno5–9-0.126%6 Jun
nuke9–10.3621%6 Jun
inferno6–9-0.049%31 May
nuke10–130.0718%31 May
ancient8–130.0616%31 May
nuke0–9-0.2925%30 May
inferno9–3-0.0232%30 May
vertigo1–9-0.1633%30 May
inferno9–20.2019%25 May
inferno9–60.1012%25 May
nuke2–9-0.1714%24 May
nuke9–4-0.0925%24 May
mirage7–13-0.0321%23 May
dust213–100.0223%23 May
dust214–160.0549%23 May
dust22–130.0218%23 May
ancient5–13-0.057%17 May
mirage13–50.1013%17 May
nuke13–60.1318%17 May
mirage13–80.0112%17 May
dust29–13-0.038%17 May
vertigo6–9-0.123%16 May
inferno6–9-0.0511%16 May
inferno9–70.0425%16 May
inferno2–9-0.205%16 May
inferno4–9-0.0123%16 May
ancient13–8-0.0413%16 May
dust213–50.0911%16 May
ancient15–150.0320%16 May

Match data via Leetify.

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →