Yeontan

Yeontan — CS2 Stats

LV76561198220150637[U:1:259884909]Steam profile ↗✓ No bans

830Tracked matches50%Win rate2020Tracked since
2,157Hours in CS42Hrs last 2 wks
CSDB Rating6.1 SolidSupport
FaceitLevel 9 · 1,777 ELOTop 20.7% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. Today is the first observation — history builds from here and cannot be backfilled. Come back after the next session and the change shows above.

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How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=12,915), 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 rate50.2%48.3%51.0%meets
Shot accuracy17.7%13.2%13.7%above
Kill/death ratio0.931.071.090.16 short
Match win rate46.8%46.9%48.4%1.6% short

This profile matches the typical Level 10 player on 2 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.GGYeontanFACEITLevel 9 · 1,777 ELOSTANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim85
Positioning61
Utility65

0–100 skill scores via Leetify.

Recent form

STEADY51463Last 10051%Win rateWWLLLTLLWW

Last 10 vs previous 10: −20pp win rate · −0.04 avg rating · +3.3pp headshot accuracy · −13ms reaction

Win rate down 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

  • 23 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 27%
  • Avg reaction 569ms

Last 10

  • 451 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 27%
  • Avg reaction 558ms

Last 20

  • 1091 · 50% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 25%
  • Avg reaction 565ms

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: SupportUtility contribution stands above the rest of this profile (+1.3 against its own average).

Aim8.5
Utility6.5
Positioning6.1
Opening Duels4.7
Clutch3.4

Sharp aimerStrong 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.

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

jL

Plays most like jL 93% playstyle similarity

Most alike: utility contribution, 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

Strengths

Aim. Aim score of 85 — the mechanical foundation is a clear strength.

Areas to improve

T-side openings. Opening success drops from 57% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.5
Positioning6.1
Utility6.5
Mechanics5.1
Opening Duels4.4
Win Impact5.0

Composite 6.1/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.04
first ⅓ avg -0.01 → last ⅓ avg 0.03
Reaction time542ms−46ms
first ⅓ avg 588ms → last ⅓ avg 542ms
Headshot accuracy24.7%+3.8%
first ⅓ avg 21.0% → last ⅓ avg 24.7%

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

0.20Best match rating · 13–4 · cache, 31 Aug
50%Best headshot accuracy · 2–2 · alpine, 9 May
375msFastest reaction time · 13–2 · dust2, 5 May
13–0Biggest win · dust2, 5 Jul

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
78In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 70% over 10ancientWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageC1981142%-0.01
anubisA169756%0.00
dust2B157847%0.01
overpassB115645%-0.01
infernoS107370%-0.01
nukeA106460%0.02
cacheS96367%0.05
ancientD51420%0.01
office21150%0.02
vertigo21150%0.04
alpine1010%0.10

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

69,445Lifetime kills
0.93K/D
3,377Matches
46.8%Match win rate
50.2%Headshot % · Top 50% of Level 9 players
17.7%Shot accuracy · Top 25% of Level 9 players
9,514MVPs
1,634Hours (in match)
2,443Bombs planted
675Bombs defused

Most-used weapons

AK-4722,023
AWP11,807
FAMAS1,821
Knife1,803
P2501,166

Lifetime map wins

7,398dust2
4,827inferno
1,312train
1,241nuke
686vertigo
279cbble
148office
32lake

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

Faceit stats

Combat

1,872Matches
51%Win rate
1.00Avg K/D
74.6ADR
47%Headshot %

Clutches & streaks

37%1v1 clutch win
22%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage17954%1.0815.5
Ancient9446%1.0915.3
Dust29354%1.0314.6
Inferno6748%0.9614.8
Anubis4154%0.9816.2
Overpass3757%0.9715.1
Cache3551%1.0414.8
Nuke2654%0.9513.9

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.

25.3%Headshot accuracy
37.9%Accuracy (enemy spotted)
41.9%Spray accuracy
72.9%Counter-strafing
9.2°Preaim
535msReaction time
37.6%T opening success
57.3%CT opening success
0.60Enemies flashed / flash
20.5%Flash assists
9.61HE damage / grenade
6.24Flashes / 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 37.6094% — 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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–70.0026%18 Sept
anubis13–70.0531%18 Sept
mirage11–13-0.0121%16 Sept
nuke6–130.0024%11 Sept
dust25–13-0.0133%10 Sept
overpass12–120.0214%9 Sept
dust211–13-0.0233%8 Sept
mirage4–13-0.0830%8 Sept
dust213–20.0538%5 Sept
overpass13–10.1917%2 Sept
office13–60.0827%2 Sept
ancient12–16-0.0423%2 Sept
anubis11–130.0025%1 Sept
cache13–40.2047%31 Aug
nuke6–00.150%31 Aug
mirage3–130.0214%31 Aug
inferno13–50.0619%31 Aug
dust213–40.1222%29 Aug
inferno13–11-0.0426%23 Aug
cache5–130.0533%18 Aug
mirage13–50.1012%15 Aug
cache16–12-0.0115%14 Aug
dust22–13-0.0826%14 Aug
anubis13–4-0.0433%14 Aug
anubis7–13-0.0520%14 Aug
ancient12–120.1019%12 Aug
mirage13–40.0026%10 Aug
nuke9–13-0.0326%7 Aug
ancient12–16-0.0138%6 Aug
anubis10–13-0.0224%5 Aug
nuke13–110.1027%4 Aug
anubis13–40.0321%3 Aug
anubis16–14-0.0122%3 Aug
mirage13–16-0.0416%2 Aug
nuke13–10-0.0633%30 Jul
ancient13–5-0.0223%29 Jul
mirage9–130.0223%28 Jul
anubis16–130.0417%28 Jul
inferno13–6-0.0325%28 Jul
cache13–100.0623%27 Jul
anubis5–13-0.0126%24 Jul
anubis2–70.058%20 Jul
anubis13–80.0316%18 Jul
mirage13–110.0521%17 Jul
nuke5–13-0.0241%17 Jul
inferno13–40.0426%10 Jul
dust213–00.0827%5 Jul
overpass9–13-0.1115%25 Jun
dust211–130.0218%23 Jun
nuke13–8-0.0726%22 Jun
inferno3–13-0.0329%11 Jun
nuke13–80.0737%11 Jun
inferno13–50.0324%11 Jun
dust28–13-0.0522%27 May
ancient10–130.0238%18 May
anubis13–10-0.0216%18 May
cache10–13-0.0627%17 May
dust213–90.0045%17 May
cache13–60.0532%10 May
alpine2–20.1050%9 May
mirage2–13-0.0622%9 May
overpass13–4-0.0516%7 May
dust213–2-0.0133%5 May
mirage13–20.0023%5 May
cache13–80.0335%5 May
cache13–20.0321%5 May
nuke13–9-0.0526%5 May
nuke3–30.1025%4 May
anubis13–11-0.0210%4 May
cache9–130.0640%2 May
mirage11–130.0419%29 Apr
vertigo9–60.0243%29 Apr
mirage7–13-0.1010%26 Apr
anubis13–30.0432%22 Apr
inferno5–13-0.0829%21 Apr
mirage4–13-0.0618%21 Apr
dust210–13-0.0342%18 Apr
dust27–130.0130%16 Apr
anubis6–130.0616%15 Apr
vertigo8–80.0727%14 Apr
mirage13–110.0120%9 Apr
inferno13–110.0033%9 Apr
overpass9–13-0.068%7 Apr
anubis2–13-0.119%7 Apr
dust29–13-0.0240%6 Apr
mirage13–7-0.0326%5 Apr
overpass6–13-0.0515%4 Mar
overpass13–8-0.0014%9 Feb
overpass21–25-0.0619%9 Feb
dust213–60.0817%9 Feb
office9–13-0.050%30 Jan
mirage13–8-0.110%30 Jan
overpass13–6-0.0123%2 Jan
mirage15–19-0.0019%6 Dec
inferno11–13-0.0214%6 Dec
overpass10–13-0.0722%6 Dec
dust213–4-0.0211%1 Dec
overpass13–70.0731%20 Nov
mirage13–30.0525%20 Nov
mirage5–13-0.086%15 Nov

Match data via Leetify.

Recent teammates

Milestones

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