yonge

yonge — CS2 Stats

76561197973537366[U:1:13271638]Steam profile ↗✓ No bans

833Tracked matches43%Win rate2020Tracked since
2,320Hours in CS
CSDB Rating3.7 LearningSupport
FaceitLevel 4 · 1,061 ELOTop 81.0% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 16,719 +4,050 10 Jan – 19 Apr · 14 days played
12,66917,562peak 17,56210 Jan19 Apr
17,562Peak Premier in tracked matches
1,061Highest Faceit ELO seen on CSDB
52Days played since 2026-01-06

Faceit ELO

  • At peak — 1,061
  • Next: Level 6 at 1,201 — 140 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2

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 4 among CSDB-tracked players (n=14,630), 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 4 medianLevel 5 medianvs Level 5
Headshot rate47.0%42.7%43.8%above
Shot accuracy13.8%11.2%12.0%above
Kill/death ratio1.060.991.02above
Match win rate44.8%43.9%44.7%meets

Across every metric we can compare, this profile already matches the typical Level 5 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGyongeFACEITLevel 4 · 1,061 ELOSTANDINGTop 81.0% of rankedPEAK ELO1,061csdb.gg/stats

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Performance scores

Aim39
Positioning52
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY49–49–2Last 10049%Win rateLLLLWWLWLW

Last 10 vs previous 10: −20pp win rate · +0.03 avg rating · −6.5pp headshot accuracy · −130ms 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 (+0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 613ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 574ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 639ms

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 (+1.4 against its own average).

Aim3.9
Utility5.4
Positioning5.2
Opening Duels3.1
Clutch2.2

Limited utility dependence

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

m0NESY

Plays most like m0NESY 65% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Areas to improve

Reaction time. 641ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.9
Positioning5.2
Utility5.4
Mechanics3.8
Opening Duels2.9
Win Impact2.8

Composite 3.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.00
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time644ms−18ms
first ⅓ avg 663ms → last ⅓ avg 644ms
Headshot accuracy24.8%+1.6%
first ⅓ avg 23.2% → last ⅓ avg 24.8%

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

0.07Best match rating · 13–5 · inferno, 10 Apr →
63%Best headshot accuracy · 2–13 · dust2, 10 Apr →
453msFastest reaction time · 16–13 · inferno, 5 Feb →
13–4Biggest win · cache, 10 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L4Current streak
11–14In matches decided by ≤2 rounds
26Overtime games

Map breakdown

infernoBest map · 63% over 19nukeWeakest map · 37% over 19
MapGradePlayedRecordWin rateAvg rating
dust2C2912–1741%-0.02
ancientA2314–961%-0.01
nukeC197–1237%-0.03
infernoA1912–763%-0.02
mirage—31–233%-0.01
anubis—31–233%-0.04
overpass—31–233%-0.04
cache—11–0100%-0.13

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (37% over 19). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

96,884Lifetime kills
1.06K/D · Top 50% of Level 4 players
4,496Matches
44.8%Match win rate · Top 50% of Level 4 players
47.0%Headshot % · Top 50% of Level 4 players
13.8%Shot accuracy · Top 50% of Level 4 players
12,561MVPs
2,320Hours (in match)
7,827Bombs planted
1,459Bombs defused

Most-used weapons

AK-4731,078
AWP14,302
P902,695
P2502,537
MP72,355

Lifetime map wins

15,280inferno
7,743dust2
4,868nuke
637vertigo
504train
353cbble
115aztec
82dust

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

Faceit stats

Combat

792Matches
49%Win rate
1.05Avg K/D
63.0ADR
44%Headshot %

Clutches & streaks

31%1v1 clutch win
12%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient4751%0.9114.6
Nuke3951%0.9313.6
Dust23743%0.7713.0
Inferno3043%0.7112.6
Anubis2335%0.8812.4
Overpass1136%0.7712.6
Vertigo838%1.0416.1
Mirage667%1.2816.3

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.

22.8%Headshot accuracy
25.5%Accuracy (enemy spotted)
25.8%Spray accuracy
67.1%Counter-strafing
9.6°Preaim
641msReaction time
37.0%T opening success
46.3%CT opening success
0.59Enemies flashed / flash
4.8%Flash assists
12.58HE damage / grenade
4.72Flashes / 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 37.0195% — below the 40% mark we flag

Spend your practice time on Nuke

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

37% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust29–13-0.0218%30 Oct →
mirage10–130.0114%23 Oct →
dust25–13-0.0129%23 Oct →
nuke10–13-0.0412%8 Oct →
inferno13–10-0.0419%8 Oct →
ancient13–9-0.0029%8 Oct →
dust214–16-0.0122%7 Oct →
ancient22–20-0.0012%7 Oct →
ancient11–13-0.0320%3 Oct →
inferno13–80.0313%3 Oct →
dust213–11-0.0330%10 Jul →
cache13–4-0.138%10 Jul →
dust213–6-0.1236%19 Apr →
inferno16–13-0.0122%14 Apr →
nuke11–13-0.0813%14 Apr →
dust22–13-0.1063%10 Apr →
inferno13–50.0726%10 Apr →
nuke13–16-0.049%8 Apr →
dust213–100.0523%8 Apr →
nuke13–16-0.0122%8 Apr →
nuke9–13-0.0519%7 Apr →
inferno11–130.0039%7 Apr →
dust211–13-0.0531%7 Apr →
anubis13–8-0.1026%5 Apr →
inferno13–4-0.0630%5 Apr →
inferno13–70.0513%5 Apr →
dust210–130.0234%5 Apr →
dust25–13-0.0453%4 Apr →
nuke2–13-0.0324%4 Apr →
ancient16–19-0.0113%3 Apr →
nuke7–13-0.0238%3 Apr →
ancient13–4-0.0126%2 Apr →
dust213–60.0331%2 Apr →
inferno8–13-0.0034%2 Apr →
mirage13–110.0234%30 Mar →
nuke8–13-0.0329%26 Mar →
dust26–13-0.0429%20 Mar →
ancient13–40.0731%20 Mar →
inferno16–130.0130%8 Mar →
dust213–10-0.0223%8 Mar →
ancient16–130.0117%1 Mar →
dust210–13-0.0626%23 Feb →
overpass3–13-0.1120%22 Feb →
dust210–13-0.0312%22 Feb →
ancient13–80.0130%22 Feb →
inferno7–130.0119%22 Feb →
ancient29–31-0.0130%20 Feb →
dust213–10-0.0621%18 Feb →
dust214–16-0.0216%16 Feb →
ancient13–50.0221%16 Feb →
ancient12–16-0.0427%14 Feb →
anubis11–130.0011%14 Feb →
nuke1–13-0.0425%14 Feb →
inferno19–16-0.0131%14 Feb →
dust210–13-0.0536%14 Feb →
nuke13–16-0.0333%8 Feb →
ancient9–13-0.0330%7 Feb →
inferno16–13-0.0122%5 Feb →
ancient8–130.0529%5 Feb →
mirage11–13-0.0527%5 Feb →
dust26–130.0345%4 Feb →
nuke16–14-0.0225%3 Feb →
inferno13–9-0.0815%3 Feb →
nuke13–10-0.0418%2 Feb →
ancient13–60.0154%1 Feb →
dust214–16-0.0231%31 Jan →
overpass5–13-0.0128%31 Jan →
ancient16–14-0.0519%31 Jan →
nuke10–13-0.0533%31 Jan →
dust213–70.0135%30 Jan →
inferno4–13-0.1133%30 Jan →
dust29–13-0.0117%29 Jan →
inferno13–8-0.0327%29 Jan →
dust213–11-0.0227%29 Jan →
ancient16–140.0125%28 Jan →
ancient13–90.0128%27 Jan →
nuke19–170.0231%25 Jan →
dust213–50.0217%24 Jan →
ancient9–13-0.0411%21 Jan →
dust213–7-0.0313%21 Jan →
inferno11–13-0.0617%21 Jan →
ancient10–13-0.0618%18 Jan →
nuke16–12-0.0518%18 Jan →
ancient22–20-0.0320%17 Jan →
dust213–11-0.0431%16 Jan →
inferno15–15-0.0624%16 Jan →
dust222–190.0116%14 Jan →
inferno11–13-0.0320%14 Jan →
dust214–16-0.0325%14 Jan →
nuke13–6-0.0326%14 Jan →
nuke13–8-0.0730%13 Jan →
inferno13–110.0031%13 Jan →
ancient13–9-0.0316%13 Jan →
anubis7–13-0.0316%12 Jan →
nuke13–4-0.0029%11 Jan →
ancient13–7-0.0117%10 Jan →
overpass13–5-0.0021%10 Jan →
dust213–16-0.0527%8 Jan →
ancient11–130.0026%7 Jan →
nuke15–15-0.0121%6 Jan →

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 →

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