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YOVNGMANOTA

YOVNGMANOTA — CS2 Stats

76561199771639719[U:1:1811373991]Steam profile ↗✓ No bans

219Tracked matches40%Win rate2025Tracked since
CSDB Rating3.7 Learning
Premier CS Rating12,306Blue band · top ~42.7% of ranked players (population est.)
CSDB Leaderboard#36522 of 53940 tracked
WingmanGold Nova III
Ladder ranks via Leetify

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CSDB.GGYOVNGMANOTAPREMIER12,306 · Blue bandcsdb.gg/stats

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Performance scores

Aim45
Positioning31
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY46–53–1Last 10046%Win rateWLLLLWWWLL

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating

Player DNA

Aim4.5
Aggression3.6
Utility4.9
Positioning3.1
Opening Duels0.3
Clutch5.2

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 72% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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

Areas to improve

Reaction time. 711ms 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

Aim4.5
Positioning3.1
Utility4.9
Mechanics6.3
Opening Duels0.3
Win Impact1.7

Composite 3.7/10 (Learning), 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 rating-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time707ms−5ms
first ⅓ avg 712ms → last ⅓ avg 707ms
Headshot accuracy16.4%+0.8%
first ⅓ avg 15.6% → last ⅓ avg 16.4%

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.

Highlights

0.12Best rating — mirage 13–8
13–1Biggest win — nuke
6Longest win streak
8–7In matches decided by ≤2 rounds
13Overtime games

Map breakdown

ancientBest map · 100% over 6dust2Weakest map · 38% over 24
MapGradePlayedRecordWin rateAvg rating
mirageC3213–1941%-0.02
dust2C249–1538%-0.02
infernoC166–1038%-0.04
nukeA116–555%-0.00
ancientS66–0100%-0.02
anubis—42–250%-0.03
overpass—42–250%-0.04
train—32–167%0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 24). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

147Matches
52%Win rate
1.08Avg K/D
76.1ADR
39%Headshot %

Clutches & streaks

46%1v1 clutch win
27%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage4452%1.0813.1
Dust23855%1.1515.2
Nuke1872%1.1216.6
Anubis1638%1.0116.3
Inferno1225%0.8214.3
Ancient875%1.4813.8
Overpass560%0.9815.6
Cache520%0.629.8

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.

17.5%Headshot accuracy
30.9%Accuracy (enemy spotted)
32.8%Spray accuracy
78.4%Counter-strafing
10.4°Preaim
711msReaction time
31.9%T opening success
30.2%CT opening success
0.45Enemies flashed / flash
4.9%Flash assists
16.06HE damage / grenade
9.04Flashes / 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. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 710.6035ms — above the 700ms mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.448 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 31.9356% — below the 40% mark we flag

Spend your practice time on Dust 2

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

38% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–9-0.0022%6 Aug →
anubis9–13-0.0318%6 Aug →
nuke12–160.029%30 Jul →
mirage2–7-0.0515%28 Jul →
mirage6–13-0.0219%26 Jul →
nuke13–6-0.0020%23 Jul →
anubis16–13-0.0623%21 Jul →
dust213–40.0733%17 Jul →
dust29–13-0.0417%15 Jul →
dust20–40.010%13 Jul →
dust213–40.0831%13 Jul →
inferno0–13-0.050%12 Jul →
mirage10–13-0.0416%11 Jul →
mirage3–13-0.0411%11 Jul →
inferno7–13-0.0520%10 Jul →
mirage6–13-0.0113%10 Jul →
dust22–13-0.0512%10 Jul →
mirage3–13-0.0321%9 Jul →
inferno14–16-0.0132%9 Jul →
mirage6–13-0.0917%9 Jul →
mirage13–60.0224%9 Jul →
nuke13–9-0.0422%9 Jul →
dust213–11-0.0111%9 Jul →
mirage13–80.0712%9 Jul →
inferno4–13-0.0119%5 Jul →
inferno13–7-0.0619%4 Jul →
dust213–90.007%4 Jul →
dust27–13-0.0315%4 Jul →
dust213–9-0.0416%24 Jun →
dust28–13-0.047%24 Jun →
dust213–110.0014%24 Jun →
dust29–13-0.0616%23 Jun →
nuke13–80.0111%23 Jun →
inferno7–130.008%23 Jun →
mirage14–16-0.056%23 Jun →
overpass13–9-0.070%9 Jun →
dust213–10-0.0222%8 Jun →
mirage13–16-0.0832%4 Jun →
mirage13–10-0.0012%3 Jun →
mirage13–11-0.057%1 Jun →
dust25–130.067%31 May →
mirage2–13-0.0219%11 Feb →
inferno13–110.0811%9 Feb →
ancient13–7-0.025%1 Feb →
mirage13–10-0.0519%31 Jan →
nuke9–13-0.099%31 Jan →
mirage11–13-0.0711%30 Jan →
ancient13–4-0.025%30 Jan →
inferno13–6-0.0124%29 Jan →
inferno2–8-0.0914%29 Jan →
mirage6–13-0.0210%29 Jan →
mirage13–20.0516%29 Jan →
dust27–13-0.0416%28 Jan →
inferno2–13-0.0625%28 Jan →
mirage13–90.0317%28 Jan →
anubis14–160.0324%27 Jan →
inferno4–13-0.0516%27 Jan →
dust23–13-0.090%26 Jan →
ancient13–90.0320%26 Jan →
nuke14–16-0.0421%25 Jan →
ancient13–11-0.0216%25 Jan →
mirage13–80.0421%25 Jan →
mirage11–13-0.0614%24 Jan →
mirage14–160.0110%24 Jan →
mirage12–16-0.0716%24 Jan →
overpass4–13-0.0314%24 Jan →
anubis13–5-0.0521%23 Jan →
inferno13–11-0.0421%23 Jan →
inferno13–60.0917%23 Jan →
train5–13-0.0323%18 Jan →
dust28–13-0.0519%18 Jan →
ancient13–6-0.0618%14 Jan →
dust27–13-0.0515%11 Jan →
mirage13–80.0111%11 Jan →
overpass13–11-0.028%11 Jan →
inferno16–14-0.0512%11 Jan →
dust216–12-0.0517%11 Jan →
dust213–40.0814%10 Jan →
nuke13–10.0223%10 Jan →
nuke8–130.0228%10 Jan →
inferno3–13-0.0416%2 Jan →
mirage13–90.0218%2 Jan →
mirage5–13-0.1011%1 Jan →
train13–80.0419%1 Jan →
nuke13–80.0412%31 Dec →
dust210–13-0.0613%30 Dec →
mirage10–130.0315%30 Dec →
mirage10–13-0.0114%29 Dec →
ancient13–4-0.0412%29 Dec →
mirage13–100.0012%27 Dec →
overpass9–13-0.0613%27 Dec →
nuke13–90.0423%27 Dec →
dust29–13-0.0212%27 Dec →
dust29–13-0.0421%26 Dec →
inferno1–9-0.370%26 Dec →
mirage13–80.1221%23 Dec →
train13–30.0319%23 Dec →
nuke8–130.0014%23 Dec →
mirage15–15-0.0211%18 Dec →
dust213–16-0.0314%16 Dec →

Match data via Leetify.

Recent teammates

Milestones

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

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