Thai Ming

Thai Ming — CS2 Stats

PM76561198372073471[U:1:411807743]Steam profile ↗✓ No bans

1,015Tracked matches55%Win rate2020Tracked since
3,786Hours in CS26Hrs last 2 wks
CSDB Rating6.6 SolidSupport
Premier CS Rating23,143Top 25% of 215,386 CSDB-tracked playersPink band · top ~5% of ranked players (population est.)
CSDB Leaderboard#42588 of 261515 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Nov 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,015 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 23,143 +5,287 3 Sept – 10 Nov · 24 days played
17,73924,250peak 24,2503 Sept10 Nov
24,438Peak Premier in tracked matches
15Days played since 2026-09-03

Premier CS Rating

  • 1,107 below peak (24,250)
  • +568 over 30 days · improving
  • Next: Red band at 25,000 — 1,857 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-10-29
  • Purple band first seen 2026-09-03

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=15,132), 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 playerLevel 9 medianLevel 10 medianvs Level 10
Headshot rate58.2%48.2%50.9%above
Shot accuracy12.5%13.2%13.7%1.2% short
Kill/death ratio0.661.071.090.43 short
Match win rate40.0%46.9%48.4%8.4% short

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGThai MingFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER23,143 · Pink bandcsdb.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

Aim71
Positioning63
Utility65

0–100 skill scores via Leetify.

Recent form

STEADY52–46–2Last 10052%Win rateLLWLWLLWLW

Last 10 vs previous 10: −10pp win rate · −0.05 avg rating · −7.3pp headshot accuracy · −45ms reaction

Win rate −10pp 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 15%
  • Avg reaction 572ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 529ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 551ms

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: Support — Utility contribution stands above the rest of this profile (+1.9 against its own average).

Aim7.1
Utility6.5
Positioning6.3
Opening Duels2.7
Clutch3.0

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

iM

Plays most like iM 83% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: 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

Strengths

Flashes. 0.86 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 573ms 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

Aim7.1
Positioning6.3
Utility6.5
Mechanics6.9
Opening Duels4.0
Win Impact6.7

Composite 6.6/10 (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 rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time571ms−3ms
first ⅓ avg 574ms → last ⅓ avg 571ms
Headshot accuracy18.8%+0.1%
first ⅓ avg 18.8% → last ⅓ avg 18.8%

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

0.15Best match rating · 13–3 · cache, 22 Oct →
38%Best headshot accuracy · 13–8 · dust2, 2 Nov →
414msFastest reaction time · 5–13 · ancient, 6 Nov →
13–2Biggest win · mirage, 20 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
7–10In matches decided by ≤2 rounds
13Overtime games

Map breakdown

dust2Best map · 65% over 23ancientWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageA2514–1156%0.00
dust2S2315–865%0.02
anubisA1810–856%0.01
infernoD124–833%0.01
cacheA127–558%0.01
ancientD61–517%-0.03
nuke—41–325%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

161,683Lifetime kills
0.66K/D
5,016Matches
40.0%Match win rate
58.2%Headshot % · Top 25% of Level 9 players
12.5%Shot accuracy
10,952MVPs
3,517Hours (in match)
3,852Bombs planted
834Bombs defused

Most-used weapons

AK-4772,843
AWP4,027
FAMAS3,064
Knife2,065
MP91,387

Lifetime map wins

4,829dust2
4,457inferno
3,001vertigo
1,207cbble
944nuke
624train
198office
123lake

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

Faceit stats

Combat

968Matches
52%Win rate
1.11Avg K/D
78.8ADR
46%Headshot %

Clutches & streaks

35%1v1 clutch win
19%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Anubis16958%1.1817.1
Mirage16255%1.1416.5
Dust214854%1.0816.6
Inferno8449%1.0315.5
Ancient4643%1.0516.9
Nuke2138%1.0116.8
Vertigo1942%1.1617.3
Cache944%0.7713.2

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.

19.2%Headshot accuracy
32.4%Accuracy (enemy spotted)
35.0%Spray accuracy
80.8%Counter-strafing
9.0°Preaim
573msReaction time
48.1%T opening success
43.9%CT opening success
0.86Enemies flashed / flash
12.0%Flash assists
13.59HE damage / grenade
5.61Flashes / match

Recommended for you

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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno6–13-0.0621%7 Nov →
ancient5–13-0.0312%7 Nov →
dust213–80.0331%7 Nov →
dust29–13-0.058%7 Nov →
mirage13–40.015%6 Nov →
ancient5–13-0.0720%6 Nov →
mirage6–130.0020%6 Nov →
cache13–7-0.029%6 Nov →
inferno10–130.0420%6 Nov →
mirage13–10-0.0715%3 Nov →
mirage6–13-0.0137%3 Nov →
cache13–70.0230%3 Nov →
mirage13–80.0819%3 Nov →
anubis12–160.0119%3 Nov →
ancient8–130.0123%3 Nov →
inferno16–140.0022%3 Nov →
mirage13–80.0211%3 Nov →
mirage15–15-0.0216%2 Nov →
cache5–130.0519%2 Nov →
dust213–80.1238%2 Nov →
ancient13–7-0.0618%2 Nov →
dust213–60.0717%2 Nov →
dust213–30.0421%2 Nov →
mirage13–50.0718%2 Nov →
dust213–90.0517%2 Nov →
mirage6–13-0.0128%1 Nov →
anubis13–6-0.0114%1 Nov →
inferno11–130.0018%1 Nov →
dust213–10-0.0417%1 Nov →
inferno6–130.0413%1 Nov →
mirage15–15-0.0414%1 Nov →
anubis13–11-0.0120%1 Nov →
mirage13–9-0.0313%1 Nov →
anubis16–14-0.0017%1 Nov →
cache16–120.0319%1 Nov →
mirage13–6-0.0415%1 Nov →
anubis11–130.0216%28 Oct →
dust213–4-0.0416%28 Oct →
ancient14–16-0.0112%28 Oct →
inferno13–50.0530%27 Oct →
anubis9–13-0.0717%27 Oct →
dust213–90.0823%27 Oct →
anubis9–130.0316%27 Oct →
dust213–160.0016%27 Oct →
mirage13–4-0.078%27 Oct →
anubis16–140.0211%27 Oct →
inferno13–60.0924%26 Oct →
dust213–40.1222%26 Oct →
dust213–8-0.0413%26 Oct →
dust210–130.0130%26 Oct →
dust211–13-0.039%26 Oct →
dust213–11-0.049%26 Oct →
mirage7–130.0224%26 Oct →
cache12–16-0.0811%26 Oct →
dust213–40.1023%26 Oct →
dust28–130.0131%23 Oct →
dust22–13-0.0223%23 Oct →
mirage5–13-0.0214%23 Oct →
cache13–90.1118%22 Oct →
mirage3–8-0.1012%22 Oct →
nuke11–13-0.0318%22 Oct →
nuke11–13-0.0326%22 Oct →
anubis13–100.039%22 Oct →
ancient7–13-0.056%22 Oct →
cache13–30.1527%22 Oct →
mirage13–6-0.0215%22 Oct →
cache10–13-0.0419%21 Oct →
inferno5–13-0.0317%21 Oct →
dust211–130.0837%20 Oct →
dust213–70.0417%20 Oct →
mirage12–160.0511%20 Oct →
dust27–00.0427%20 Oct →
inferno10–13-0.0117%20 Oct →
mirage13–4-0.0418%20 Oct →
anubis6–13-0.0320%20 Oct →
mirage13–10-0.0115%20 Oct →
mirage6–130.0110%20 Oct →
anubis13–9-0.0119%20 Oct →
nuke9–13-0.0528%20 Oct →
mirage13–20.0723%20 Oct →
anubis5–130.0116%20 Oct →
dust214–16-0.0222%19 Oct →
anubis13–11-0.0315%19 Oct →
anubis4–130.0132%19 Oct →
anubis13–90.0513%19 Oct →
inferno11–13-0.0325%19 Oct →
nuke13–8-0.0117%19 Oct →
inferno6–13-0.0126%19 Oct →
cache7–13-0.0610%18 Oct →
cache13–5-0.0111%18 Oct →
anubis13–20.0825%17 Oct →
cache13–5-0.0022%17 Oct →
mirage13–90.0915%17 Oct →
anubis10–13-0.0211%17 Oct →
anubis16–140.0821%17 Oct →
inferno13–100.0420%17 Oct →
cache11–13-0.0022%17 Oct →
mirage8–130.0614%17 Oct →
mirage13–60.0912%17 Oct →
dust213–40.0415%17 Oct →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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