LeeYoung

LeeYoung — CS2 Stats

76561197977031274[U:1:16765546]Steam profile ↗✓ No bans

92Tracked matches50%Win rate2021Tracked since
CSDB Rating5.2 DevelopingPositional Player
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 35 days played since 23 May 2021. Come back after the next session and the change shows above.

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Rating over time

13,046Peak Premier in tracked matches
35Days played since 2021-05-23

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.

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CSDB.GGLeeYoungFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim61
Positioning54
Utility23

0–100 skill scores via Leetify.

Recent form

STEADY32457Last 8438%Win rateWWLLLLWWLT

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · −1.6pp headshot accuracy · −17ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 23 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 602ms

Last 10

  • 451 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 648ms

Last 20

  • 1091 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 656ms

Newest first, from the last 84 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional PlayerPositioning stands above the rest of this profile (+3 against its own average).

Aim6.1
Utility2.3
Positioning5.4
Opening Duels2.0
Clutch0.0

Excellent counter-strafing

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 81% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; lower 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 642ms 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

Aim6.1
Positioning5.4
Utility2.3
Mechanics8.8
Opening Duels1.7
Win Impact5.0

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-0.02−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time652ms+34ms
first ⅓ avg 618ms → last ⅓ avg 652ms
Headshot accuracy17.9%+5.3%
first ⅓ avg 12.6% → last ⅓ avg 17.9%

Rolling 5-match average across the last 84 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.18Best match rating · 13–5 · dust2, 17 Jul
34%Best headshot accuracy · 13–11 · nuke, 16 Jul
477msFastest reaction time · 3–13 · inferno, 22 May
13–1Biggest win · nuke, 22 May

Across the last 84 tracked matches.

Highlights

5Longest win streak
W2Current streak
411In matches decided by ≤2 rounds
14Overtime games

Map breakdown

nukeBest map · 73% over 11ancientWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
mirageD2061430%-0.01
infernoC145936%-0.02
nukeS118373%-0.01
ancientD91811%-0.03
dust2C94544%0.00
trainC73443%-0.03
anubisS64267%-0.01
overpass3030%-0.03
cache21150%-0.02
vertigo1010%-0.06
agency1010%0.02
office1010%-0.07

Across the last 84 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

5Matches
40%Win rate
0.72Avg K/D
55.0ADR
40%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage250%1.1411.5
Ancient10%0.478.0
Inferno1100%0.539.0
Nuke10%0.315.0

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.

17.1%Headshot accuracy
33.2%Accuracy (enemy spotted)
31.1%Spray accuracy
89.5%Counter-strafing
10.9°Preaim
642msReaction time
32.0%T opening success
41.9%CT opening success
0.56Enemies flashed / flash
10.2%Flash assists
8.39HE damage / grenade
5.25Flashes / 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 31.9654% — 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.

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke13–80.027%15 Sept
cache13–60.0225%1 May
mirage7–13-0.0624%14 Feb
train11–13-0.0812%10 Aug
ancient7–13-0.0116%2 Aug
overpass10–13-0.079%2 Aug
anubis13–110.0213%2 Aug
inferno13–70.0213%2 Aug
dust24–13-0.0829%2 Aug
train12–120.028%21 Jul
nuke13–4-0.0216%20 Jul
inferno9–13-0.0620%20 Jul
ancient10–13-0.0318%20 Jul
mirage11–13-0.0514%20 Jul
ancient11–13-0.0211%20 Jul
nuke13–9-0.0512%20 Jul
mirage13–90.0118%19 Jul
dust213–11-0.0126%19 Jul
inferno13–50.0123%19 Jul
ancient13–9-0.0415%19 Jul
mirage7–130.0321%18 Jul
inferno3–9-0.0326%18 Jul
nuke10–13-0.0733%17 Jul
mirage10–13-0.027%17 Jul
dust213–50.1818%17 Jul
nuke13–110.0134%16 Jul
overpass8–13-0.0918%16 Jul
mirage15–15-0.0313%16 Jul
mirage13–80.0516%16 Jul
dust25–13-0.0719%16 Jul
train16–13-0.0212%10 Jul
nuke13–60.0911%6 Jul
mirage12–120.0032%6 Jul
inferno11–13-0.0310%6 Jul
train1–13-0.0913%5 Jul
anubis13–3-0.0212%5 Jul
mirage13–9-0.0810%5 Jul
inferno13–6-0.0216%5 Jul
ancient12–120.017%5 Jul
train13–90.0415%4 Jul
anubis11–13-0.0313%4 Jul
inferno9–13-0.0316%1 Jul
anubis13–90.0119%26 Jun
dust25–13-0.0221%25 Jun
mirage13–50.0225%25 Jun
dust213–40.0212%25 Jun
mirage10–13-0.0110%24 Jun
inferno9–13-0.059%8 Jun
dust213–11-0.0119%8 Jun
vertigo10–13-0.0616%29 May
agency9–130.0211%29 May
dust29–13-0.058%29 May
mirage13–9-0.054%29 May
ancient2–13-0.088%29 May
ancient10–13-0.0414%26 May
mirage6–13-0.0316%26 May
ancient9–13-0.0512%23 May
train14–16-0.0011%23 May
mirage7–13-0.0518%23 May
nuke13–5-0.0213%22 May
train13–7-0.103%22 May
inferno3–13-0.038%22 May
mirage15–15-0.0410%22 May
nuke13–10.0314%22 May
mirage11–130.0518%22 May
dust215–150.0713%21 May
nuke16–120.018%20 May
mirage13–2-0.009%18 May
inferno13–70.0215%27 Jan
anubis13–80.0012%27 Jan
inferno11–130.0415%27 Jan
ancient3–9-0.0514%29 May
mirage1–9-0.0522%29 May
mirage7–90.0711%13 May
cache4–9-0.060%13 May
anubis7–9-0.0214%13 May
inferno12–16-0.0617%22 Apr
nuke2–16-0.1030%22 Apr
overpass14–160.0611%16 Apr
nuke4–16-0.0112%16 Apr
mirage15–15-0.0112%30 Jul
office5–16-0.0715%30 Jul
inferno9–160.008%24 May
inferno16–110.009%23 May

Match data via Leetify.

Recent teammates

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