Thai Lung

Thai Lung — CS2 Stats

TH76561198178119490[U:1:217853762]Steam profile ↗✓ No bans

434Tracked matches50%Win rate2025Tracked since
CSDB Rating6.3 SolidPositional Player
Premier CS Rating21,624Top 50% of 211,494 CSDB-tracked playersPink band · top ~6.7% of ranked players (population est.)
CSDB Leaderboard#61057 of 258425 tracked
FaceitLevel 5 · 941 ELOTop 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Oct 2026 (yesterday). 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: 21,624 +9,271 1 Apr – 28 Oct · 33 days played
12,35323,397peak 23,3971 Apr28 Oct
Faceit ELO: 941 +0 3 Sept – 24 Sept · 5 observations
941941peak 9413 Sept24 Sept
23,397Peak Premier in tracked matches
941Highest Faceit ELO seen on CSDB
51Days played since 2026-04-01

Faceit ELO

  • At peak — 941
  • Next: Level 5 at 1,051 — 110 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-09-03
  • Level 3 first seen 2026-09-03

Premier CS Rating

  • 1,773 below peak (23,397)
  • -946 over 30 days · declining
  • Next: Red band at 25,000 — 3,376 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-14
  • Purple band first seen 2026-09-14

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.

Share this profile

CSDB.GGThai LungFACEITLevel 5 · 941 ELOSTANDINGTop 67.6% of rankedPREMIER21,624 · Pink bandPEAK ELO941csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim78
Positioning58
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY57–41–2Last 10057%Win rateLWWLLLLWLW

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · +1.2pp headshot accuracy · +87ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 688ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 635ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 591ms

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 (+1.6 against its own average).

Aim7.8
Utility5.3
Positioning5.8
Opening Duels2.2
Clutch3.4

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

iM

Plays most like iM 92% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success.

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. 606ms 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

Aim7.8
Positioning5.8
Utility5.3
Mechanics6.3
Opening Duels4.6
Win Impact5.0

Composite 6.3/10 (Solid), 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 rating0.01+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time588ms−79ms
first ⅓ avg 666ms → last ⅓ avg 588ms
Headshot accuracy16.7%+0.6%
first ⅓ avg 16.1% → last ⅓ avg 16.7%

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

0.18Best match rating · 13–1 · mirage, 3 Apr →
45%Best headshot accuracy · 13–5 · dust2, 8 Oct →
453msFastest reaction time · 10–13 · inferno, 20 Oct →
13–1Biggest win · nuke, 12 Apr →

Across the last 100 tracked matches.

Highlights

10Longest win streak
7–4In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 73% over 15infernoWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
mirageA2113–862%0.01
cacheB158–753%0.01
dust2A159–660%0.02
nukeS1511–473%0.02
infernoD113–827%-0.00
ancientA116–555%-0.01
anubisA95–456%-0.02
train—21–150%0.02
overpass—11–0100%-0.10

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.

Faceit stats

Combat

87Matches
49%Win rate
1.12Avg K/D
79.8ADR
42%Headshot %

Clutches & streaks

37%1v1 clutch win
24%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage2756%1.0515.2
Nuke1540%1.2016.2
Ancient1145%0.9213.9
Inferno1050%1.0617.1
Anubis1040%1.1517.0
Dust2757%1.7019.6
Cache580%1.0616.2
Overpass20%0.6814.5

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.

16.5%Headshot accuracy
38.6%Accuracy (enemy spotted)
41.7%Spray accuracy
78.2%Counter-strafing
8.2°Preaim
606msReaction time
54.9%T opening success
42.1%CT opening success
0.48Enemies flashed / flash
7.0%Flash assists
5.31HE damage / grenade
11.81Flashes / 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 0.4783 — below the 0.5 mark we flag

    Grenade Lineups →
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
mirage3–130.0133%28 Oct →
cache13–40.024%28 Oct →
dust27–10.1138%28 Oct →
mirage4–13-0.0315%23 Oct →
anubis10–13-0.0314%23 Oct →
mirage12–16-0.0311%23 Oct →
anubis16–19-0.0215%22 Oct →
mirage16–140.0518%21 Oct →
nuke5–13-0.108%21 Oct →
mirage13–6-0.0212%21 Oct →
mirage8–130.0720%20 Oct →
cache4–13-0.058%20 Oct →
inferno10–13-0.077%20 Oct →
nuke13–50.1014%17 Oct →
inferno6–13-0.0517%16 Oct →
ancient7–130.0016%16 Oct →
anubis2–13-0.0518%16 Oct →
cache16–120.0016%16 Oct →
dust213–9-0.0024%15 Oct →
train13–100.0614%14 Oct →
dust216–130.0411%13 Oct →
inferno5–130.0116%12 Oct →
ancient13–40.0912%12 Oct →
nuke6–130.0116%11 Oct →
mirage8–13-0.0624%11 Oct →
inferno2–00.000%11 Oct →
inferno13–110.0515%10 Oct →
nuke13–110.0520%10 Oct →
ancient13–8-0.0618%9 Oct →
dust213–50.0745%8 Oct →
nuke13–110.0524%8 Oct →
ancient13–110.0520%7 Oct →
cache13–20.0211%7 Oct →
nuke11–13-0.0812%7 Oct →
nuke13–70.1217%7 Oct →
anubis13–90.0014%6 Oct →
cache4–13-0.0515%26 Sept →
cache6–130.0625%25 Sept →
anubis7–13-0.0113%25 Sept →
ancient8–13-0.0024%25 Sept →
nuke13–90.0218%17 Sept →
mirage13–9-0.0317%17 Sept →
cache13–90.0421%9 Sept →
ancient13–7-0.0520%9 Sept →
mirage3–13-0.086%8 Sept →
nuke13–80.0521%8 Sept →
ancient13–6-0.0614%7 Sept →
mirage15–15-0.0112%7 Sept →
inferno6–130.0327%7 Sept →
cache13–80.0016%4 Sept →
mirage2–13-0.0814%4 Sept →
inferno3–13-0.0538%3 Sept →
mirage13–50.1513%3 Sept →
dust28–130.0322%3 Sept →
ancient4–13-0.0019%3 Sept →
anubis13–8-0.0014%1 Sept →
cache13–40.0329%1 Sept →
nuke13–20.0326%30 Aug →
nuke9–13-0.0621%30 Aug →
mirage13–6-0.0130%30 Aug →
cache10–13-0.0323%10 Jun →
dust29–13-0.0123%31 May →
mirage13–80.0012%30 May →
dust213–100.0119%30 May →
dust213–40.0823%30 May →
inferno13–100.1130%29 May →
nuke13–90.0819%29 May →
cache11–130.0022%26 May →
dust213–3-0.0216%25 May →
inferno11–130.0318%24 May →
dust23–130.0124%24 May →
inferno4–13-0.0411%24 May →
cache13–80.0320%7 May →
cache13–40.0724%6 May →
ancient8–13-0.0614%2 May →
cache7–130.0318%1 May →
cache1–13-0.0113%1 May →
anubis13–9-0.0621%30 Apr →
train10–13-0.0130%23 Apr →
dust213–80.0024%23 Apr →
nuke13–20.0629%22 Apr →
dust211–13-0.0414%22 Apr →
nuke13–8-0.059%19 Apr →
overpass13–8-0.104%19 Apr →
nuke13–1-0.0113%12 Apr →
mirage13–8-0.0210%11 Apr →
mirage16–120.0012%10 Apr →
mirage12–60.0814%10 Apr →
mirage13–50.069%10 Apr →
mirage13–9-0.0321%6 Apr →
ancient13–70.0215%6 Apr →
anubis16–120.0210%5 Apr →
inferno12–16-0.0310%5 Apr →
dust213–8-0.0123%5 Apr →
mirage13–50.0311%4 Apr →
dust215–150.0411%3 Apr →
mirage13–10.1814%3 Apr →
anubis13–11-0.0017%2 Apr →
ancient9–13-0.0313%2 Apr →
dust29–13-0.0619%1 Apr →

Match data via Leetify.

Recent teammates

Milestones

100 Matches10-Win Streak
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.