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譚仔三哥米線

譚仔三哥米線 — CS2 Stats

76561198202820328[U:1:242554600]Steam profile ↗✓ No bans

567Tracked matches42%Win rate2021Tracked since
CSDB Rating5.2 DevelopingSupport
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GG譚仔三哥米線FACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim64
Positioning50
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY45–44–11Last 10045%Win rateWWTWWLLLLW

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating · −3.1pp headshot accuracy · +25ms reaction

Win rate up 30pp 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

  • 4–0–1 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 692ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 666ms

Last 20

  • 7–9–4 · 35% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 23%
  • Avg reaction 653ms

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 (+1.6 against its own average).

Aim6.4
Utility5.1
Positioning5.0
Opening Duels1.2
Clutch2.6

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 87% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 0.76 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 659ms 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

Aim6.4
Positioning5.0
Utility5.1
Mechanics7.0
Opening Duels2.2
Win Impact2.4

Composite 5.2/10 (Developing), 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 rating-0.00−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time659ms−16ms
first ⅓ avg 675ms → last ⅓ avg 659ms
Headshot accuracy24.5%−0.6%
first ⅓ avg 25.1% → last ⅓ avg 24.5%

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

0.12Best match rating · 13–1 · dust2, 22 Oct →
39%Best headshot accuracy · 10–13 · dust2, 9 Oct →
484msFastest reaction time · 13–7 · dust2, 27 Oct →
13–1Biggest win · dust2, 22 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W2Current streak
8–5In matches decided by ≤2 rounds

Map breakdown

Strongest and weakest map need 5+ matches on two different maps — 1 of 2 maps qualify so far.

MapGradePlayedRecordWin rateAvg rating
dust2B9945–5445%-0.00
anubis—10–10%-0.07

Across the last 100 tracked matches.

Faceit stats

Combat

97Matches
51%Win rate
1.23Avg K/D
79.0ADR
66%Headshot %

Clutches & streaks

33%1v1 clutch win
30%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Dust23155%1.2417.1
Mirage2157%1.0815.7
Ancient1662%1.6617.0
Inferno1331%0.9115.0
Train50%0.8816.4
Nuke2100%1.3612.0
Overpass250%2.3417.5

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.

24.6%Headshot accuracy
28.7%Accuracy (enemy spotted)
35.9%Spray accuracy
81.5%Counter-strafing
9.3°Preaim
659msReaction time
43.8%T opening success
34.1%CT opening success
0.76Enemies flashed / flash
3.8%Flash assists
8.41HE damage / grenade
9.57Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 34.0568% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
dust213–20.0628%10 Nov →
dust213–11-0.0516%10 Nov →
dust212–120.0832%10 Nov →
dust213–100.0223%9 Nov →
dust213–4-0.0218%9 Nov →
dust211–13-0.0425%5 Nov →
dust26–13-0.0720%5 Nov →
dust23–13-0.0611%5 Nov →
dust28–130.0418%4 Nov →
dust213–100.0622%1 Nov →
dust213–70.0020%1 Nov →
dust212–120.0223%31 Oct →
dust212–120.0520%31 Oct →
dust29–13-0.0418%29 Oct →
dust213–7-0.0434%29 Oct →
dust25–13-0.0920%29 Oct →
dust210–13-0.0525%29 Oct →
dust212–120.0432%28 Oct →
dust211–130.0025%28 Oct →
dust28–130.0126%28 Oct →
dust213–40.0433%28 Oct →
dust27–130.0025%27 Oct →
dust213–10-0.0634%27 Oct →
dust210–13-0.0522%27 Oct →
dust213–70.0031%27 Oct →
dust21–60.1210%27 Oct →
dust27–130.0135%26 Oct →
dust29–13-0.0833%26 Oct →
dust27–13-0.0416%26 Oct →
dust213–11-0.0628%26 Oct →
dust213–100.0634%25 Oct →
dust213–110.0323%25 Oct →
dust22–13-0.0526%25 Oct →
dust212–120.0126%25 Oct →
dust213–90.0132%25 Oct →
dust213–40.0223%25 Oct →
dust211–13-0.0423%25 Oct →
dust210–13-0.0521%25 Oct →
dust213–11-0.0127%25 Oct →
dust21–13-0.087%25 Oct →
dust24–13-0.0225%25 Oct →
dust213–60.0233%24 Oct →
dust210–13-0.0230%24 Oct →
dust213–80.0122%24 Oct →
dust213–10.1228%22 Oct →
dust213–110.1032%22 Oct →
dust212–12-0.0417%22 Oct →
dust213–50.0425%21 Oct →
dust213–110.0730%21 Oct →
dust212–120.0120%21 Oct →
dust213–5-0.0223%19 Oct →
dust24–13-0.0138%19 Oct →
dust24–13-0.0134%19 Oct →
dust210–13-0.0228%19 Oct →
dust29–13-0.0129%17 Oct →
anubis8–13-0.0735%16 Oct →
dust212–12-0.0323%16 Oct →
dust213–40.0519%16 Oct →
dust213–90.0228%15 Oct →
dust26–130.0030%15 Oct →
dust212–12-0.0225%15 Oct →
dust210–40.0024%14 Oct →
dust213–8-0.085%14 Oct →
dust210–130.0326%14 Oct →
dust213–10-0.0126%14 Oct →
dust211–13-0.0320%14 Oct →
dust29–13-0.0816%14 Oct →
dust211–13-0.0019%14 Oct →
dust213–90.1136%13 Oct →
dust28–13-0.0427%13 Oct →
dust213–7-0.0433%13 Oct →
dust213–110.0225%12 Oct →
dust213–80.0728%12 Oct →
dust213–11-0.0415%11 Oct →
dust213–80.0421%11 Oct →
dust213–6-0.0829%10 Oct →
dust213–3-0.0223%10 Oct →
dust213–80.0532%10 Oct →
dust22–13-0.0911%10 Oct →
dust212–12-0.0224%10 Oct →
dust210–13-0.0539%9 Oct →
dust212–120.0030%9 Oct →
dust24–130.0232%9 Oct →
dust28–130.0522%9 Oct →
dust213–90.0822%8 Oct →
dust210–130.0123%8 Oct →
dust213–10-0.0123%8 Oct →
dust213–2-0.0420%8 Oct →
dust213–70.0024%7 Oct →
dust213–5-0.0034%7 Oct →
dust213–90.0230%7 Oct →
dust213–6-0.0117%7 Oct →
dust29–130.0525%7 Oct →
dust26–130.0217%7 Oct →
dust213–50.1030%7 Oct →
dust27–13-0.0715%1 Oct →
dust28–13-0.0331%1 Oct →
dust23–13-0.0318%1 Oct →
dust27–13-0.0022%1 Oct →
dust210–13-0.0534%1 Oct →

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 →

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