Liang Fu Jaw Long Chen

Liang Fu Jaw Long Chen — CS2 Stats

CN76561198375354842[U:1:415089114]Steam profile ↗✓ No bans

1,571Tracked matches46%Win rate2020Tracked since
2,438Hours in CS0Hrs last 2 wks
CSDB Rating6.0 SolidPositional Player
Premier CS Rating25,360Top 10% of 212,133 CSDB-tracked playersRed band · top ~2.8% of ranked players (population est.)
CSDB Leaderboard#18573 of 259147 tracked
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Sep 2026 (37 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 25,360 -2,417 21 Jun – 25 Sept · 15 days played
22,90627,910peak 27,91021 Jun25 Sept
27,910Peak Premier in tracked matches
2,095Highest Faceit ELO seen on CSDB
34Days played since 2026-06-21

Faceit ELO

  • At peak — 2,095
  • Next: 2,500 ELO at 2,500 — 405 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-06
  • Level 9 first seen 2026-09-06

Premier CS Rating

  • 2,550 below peak (27,910)
  • +1,461 over 30 days · improving
  • -1,696 over 90 days
  • Next: Gold band at 30,000 — 4,640 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-06
  • Pink band first seen 2026-09-06

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Red band among CSDB-tracked players (n=13,318), 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.

MetricThis playerRed band medianGold band medianvs Gold band
Headshot rate51.1%49.3%50.9%meets
Shot accuracy14.1%13.4%11.8%above
Kill/death ratio1.241.121.18above
Match win rate51.7%48.5%51.9%meets

Across every metric we can compare, this profile already matches the typical Gold band player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGLiang Fu Jaw Long ChenPREMIER25,360 · Red bandPEAK ELO2,095csdb.gg/stats

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Performance scores

Aim81
Positioning51
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY48–46–6Last 10048%Win rateWLWWWLLWLL

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating · −2.4pp headshot accuracy · +32ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.12
  • Avg headshot accuracy 21%
  • Avg reaction 553ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 17%
  • Avg reaction 503ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 487ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1 against its own average).

Aim8.1
Utility4.8
Positioning5.1
Opening Duels2.2
Clutch4.2

Effective flashes

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

b1t

Plays most like b1t 96% playstyle similarity

Most alike: opening-duel success, utility contribution.

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

Positioning. Positioning trails aim by 31 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.

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

Aim8.1
Positioning5.1
Utility4.8
Mechanics6.4
Opening Duels2.0
Win Impact3.7

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time512ms+20ms
first ⅓ avg 492ms → last ⅓ avg 512ms
Headshot accuracy18.2%−2.4%
first ⅓ avg 20.6% → last ⅓ avg 18.2%

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.

Personal bests

0.21Best match rating · 9–1 · debris, 1 Oct →
100%Best headshot accuracy · 0–2 · inferno, 24 Aug →
281msFastest reaction time · 8–13 · cache, 6 Sept →
13–2Biggest win · anubis, 29 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–7In matches decided by ≤2 rounds
6Overtime games

Map breakdown

eldoradoBest map · 80% over 5infernoWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
dust2C229–1341%0.02
mirageC198–1142%0.02
infernoD113–827%0.01
ancientA106–460%-0.01
cacheB105–550%0.01
nukeS75–271%0.03
anubisD62–433%-0.00
eldoradoS54–180%0.12
debris—32–167%0.02
poseidon—31–233%-0.03
fachwerk—21–150%0.08
shelter—11–0100%0.04
boulder—11–0100%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

86,489Lifetime kills
1.24K/D · Top 50% of Red band
3,604Matches
51.7%Match win rate · Top 50% of Red band
51.1%Headshot % · Top 50% of Red band
14.1%Shot accuracy · Top 50% of Red band
10,253MVPs
1,732Hours (in match)
3,001Bombs planted
942Bombs defused

Most-used weapons

AK-4732,209
AWP6,112
FAMAS1,586
P2501,319
AUG1,106

Lifetime map wins

6,085inferno
3,057dust2
2,023nuke
1,811vertigo
1,148train
363office
235cbble
96italy

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

Faceit stats

Combat

504Matches
57%Win rate
1.31Avg K/D
91.7ADR
43%Headshot %

Clutches & streaks

41%1v1 clutch win
25%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage3757%1.2617.3
Dust22756%1.4018.4
Ancient1443%1.3221.1
Inferno1457%1.2320.1
Anubis1346%1.2316.6
Nuke967%1.5721.2
Cache862%1.2622.6
Vertigo2100%2.6317.0

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.

18.7%Headshot accuracy
34.0%Accuracy (enemy spotted)
37.2%Spray accuracy
78.7%Counter-strafing
7.8°Preaim
495msReaction time
38.4%T opening success
37.9%CT opening success
0.75Enemies flashed / flash
8.1%Flash assists
8.38HE damage / grenade
5.15Flashes / 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. 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 38.4212% — 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.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
debris9–10.218%1 Oct →
eldorado6–90.0518%1 Oct →
eldorado9–60.0525%1 Oct →
eldorado9–10.2033%1 Oct →
poseidon9–30.0722%1 Oct →
poseidon7–9-0.079%1 Oct →
debris5–9-0.1218%1 Oct →
ancient13–30.0111%25 Sept →
mirage5–13-0.0111%23 Sept →
ancient7–13-0.0218%23 Sept →
dust213–70.1015%23 Sept →
ancient6–13-0.0233%23 Sept →
dust212–120.1023%13 Sept →
mirage4–13-0.0115%12 Sept →
nuke8–13-0.0513%11 Sept →
anubis13–5-0.0414%10 Sept →
anubis8–13-0.0315%9 Sept →
cache8–13-0.0729%6 Sept →
mirage11–130.0315%5 Sept →
dust213–50.0626%5 Sept →
anubis1–13-0.0419%4 Sept →
mirage13–110.0612%31 Aug →
inferno12–120.0125%31 Aug →
anubis6–70.0127%29 Aug →
mirage12–12-0.0418%29 Aug →
inferno9–130.0115%29 Aug →
anubis13–20.1121%29 Aug →
dust213–90.0216%29 Aug →
nuke13–70.0417%29 Aug →
dust24–130.018%29 Aug →
cache13–90.0312%29 Aug →
dust215–15-0.0422%29 Aug →
dust211–13-0.0316%28 Aug →
cache7–2-0.0440%28 Aug →
dust213–40.0827%28 Aug →
mirage12–16-0.0321%28 Aug →
inferno13–11-0.0517%28 Aug →
cache11–130.0519%27 Aug →
mirage13–10-0.0323%27 Aug →
inferno7–130.0121%27 Aug →
nuke13–70.0928%25 Aug →
mirage13–60.1428%25 Aug →
dust20–13-0.0631%25 Aug →
dust212–160.0032%25 Aug →
nuke13–40.0640%25 Aug →
dust211–13-0.0717%24 Aug →
ancient2–13-0.110%24 Aug →
mirage10–130.0226%24 Aug →
inferno0–2-0.01100%24 Aug →
inferno5–130.0923%24 Aug →
dust26–13-0.1120%24 Aug →
ancient13–60.0519%23 Aug →
inferno8–130.0126%23 Aug →
mirage7–130.0819%23 Aug →
dust213–40.0913%23 Aug →
inferno13–30.0114%23 Aug →
dust26–130.0316%23 Aug →
mirage10–13-0.0111%23 Aug →
dust27–4-0.0226%22 Aug →
dust213–160.0118%22 Aug →
dust213–100.0321%22 Aug →
mirage6–13-0.0227%22 Aug →
eldorado9–40.1120%22 Aug →
eldorado9–00.1746%22 Aug →
mirage13–50.0325%22 Aug →
poseidon3–9-0.0829%22 Aug →
debris9–6-0.0415%22 Aug →
nuke13–70.0611%21 Aug →
mirage13–100.0317%21 Aug →
cache9–130.0228%17 Aug →
ancient13–100.0229%15 Aug →
mirage13–40.0119%15 Aug →
ancient13–100.0620%14 Aug →
cache13–110.0318%14 Aug →
mirage7–130.1119%13 Aug →
inferno15–150.0622%10 Aug →
nuke13–80.0724%7 Aug →
dust213–80.0941%6 Aug →
fachwerk13–80.1616%21 Jul →
shelter7–70.0417%21 Jul →
boulder13–9-0.0215%21 Jul →
cache6–130.0723%21 Jul →
fachwerk5–130.0023%20 Jul →
cache6–130.0216%27 Jun →
dust24–130.1225%27 Jun →
anubis10–13-0.0414%27 Jun →
mirage13–40.0218%27 Jun →
dust28–130.0027%27 Jun →
dust212–12-0.0114%27 Jun →
mirage7–13-0.0723%27 Jun →
ancient6–130.0017%26 Jun →
nuke8–13-0.0312%26 Jun →
cache13–110.0126%23 Jun →
ancient13–6-0.0236%23 Jun →
inferno10–130.0519%23 Jun →
inferno13–7-0.0413%23 Jun →
cache13–6-0.0128%23 Jun →
mirage13–100.1024%22 Jun →
ancient16–14-0.0410%21 Jun →
dust213–70.0420%21 Jun →

Match data via Leetify.

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.