Yung Thiccolas

Yung Thiccolas — CS2 Stats

UA76561198132029294[U:1:171763566]Steam profile ↗✓ No bans

1,142Tracked matches27%Win rate2020Tracked since
925Hours in CS
CSDB Rating3.5 LearningSupport
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Oct 2026 (26 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,142 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 16,506 -103 2 Jun – 26 Jun · 10 days played
16,50217,515peak 17,5152 Jun26 Jun
17,631Peak Premier in tracked matches
43Days played since 2026-02-18

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 30 days vs previous 30

No matches recorded between 6 Oct 2026 and 1 Nov 2026.

Measured 6 Oct 2026 → 1 Nov 2026; previous 7 Sep 2026 → 6 Oct 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=14,283), 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 5 medianLevel 6 medianvs Level 6
Headshot rate36.7%43.8%44.8%8.1% short
Shot accuracy13.6%12.0%12.4%above
Kill/death ratio0.851.021.030.19 short
Match win rate43.8%44.7%45.2%1.4% short

This profile matches the typical Level 6 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGYung ThiccolasFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim40
Positioning40
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY34–61–5Last 10034%Win rateLLLWWLWLLW

Last 10 vs previous 10: +40pp win rate · +0.03 avg rating · −0.5pp headshot accuracy · +9ms reaction

Win rate up 40pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 611ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 647ms

Last 20

  • 4–16 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 643ms

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).

Aim4.0
Utility4.6
Positioning4.0
Opening Duels0.0
Clutch4.0

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 73% 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. 632ms 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

Aim4.0
Positioning4.0
Utility4.6
Mechanics5.4
Opening Duels0.0
Win Impact0.0

Composite 3.5/10 (Learning), 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-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time627ms−33ms
first ⅓ avg 661ms → last ⅓ avg 627ms
Headshot accuracy14.8%−1.8%
first ⅓ avg 16.6% → last ⅓ avg 14.8%

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

0.16Best match rating · 13–4 · cache, 4 May →
43%Best headshot accuracy · 13–2 · mirage, 30 Mar →
453msFastest reaction time · 13–8 · dust2, 12 Jun →
13–0Biggest win · anubis, 5 Jun →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L3Current streak
4–7In matches decided by ≤2 rounds
4Overtime games

Map breakdown

mirageBest map · 67% over 9ancientWeakest map · 19% over 16
MapGradePlayedRecordWin rateAvg rating
cacheC207–1335%-0.01
ancientD163–1319%-0.02
nukeC166–1038%-0.03
dust2D154–1127%-0.03
anubisD102–820%-0.02
mirageS96–367%-0.02
infernoC94–544%-0.04
overpassC52–340%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (19% over 16). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

45,056Lifetime kills
0.85K/D
2,896Matches
43.8%Match win rate
36.7%Headshot %
13.6%Shot accuracy · Top 50% of Level 5 players
4,948MVPs
925Hours (in match)
2,720Bombs planted
542Bombs defused

Most-used weapons

AK-4710,833
AWP5,221
MP91,547
P901,307
MAC-101,202

Lifetime map wins

5,143dust2
3,447nuke
2,861inferno
1,308vertigo
604office
515train
157lake
48cbble

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

Faceit stats

Combat

57Matches
44%Win rate
0.79Avg K/D
69.5ADR
39%Headshot %

Clutches & streaks

40%1v1 clutch win
25%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Nuke743%0.9213.7
Dust220%0.588.5
Vertigo10%0.6710.0
Ancient10%1.0521.0

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.

15.1%Headshot accuracy
28.6%Accuracy (enemy spotted)
32.8%Spray accuracy
74.3%Counter-strafing
11.2°Preaim
632msReaction time
27.8%T opening success
22.7%CT opening success
0.48Enemies flashed / flash
4.6%Flash assists
7.42HE damage / grenade
8.40Flashes / 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. 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 0.4791 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 27.7769% — 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.

19% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache7–13-0.0923%7 Sept →
dust210–13-0.0815%5 Sept →
ancient9–13-0.0120%21 Jul →
anubis13–90.0117%21 Jul →
cache16–140.028%20 Jul →
cache12–160.0515%15 Jul →
ancient13–10-0.0214%15 Jul →
nuke6–13-0.0119%15 Jul →
ancient2–13-0.043%26 Jun →
cache13–60.0414%26 Jun →
ancient3–13-0.0318%26 Jun →
nuke7–130.0116%22 Jun →
mirage13–16-0.068%19 Jun →
anubis3–13-0.0718%18 Jun →
ancient5–13-0.0817%17 Jun →
nuke11–13-0.0718%17 Jun →
overpass5–13-0.0413%16 Jun →
ancient11–13-0.0318%16 Jun →
dust28–13-0.0415%15 Jun →
anubis7–13-0.0312%15 Jun →
cache7–13-0.0516%15 Jun →
nuke10–13-0.0522%12 Jun →
ancient13–11-0.0110%12 Jun →
anubis5–13-0.0314%12 Jun →
dust213–8-0.078%12 Jun →
anubis6–13-0.0635%10 Jun →
nuke13–4-0.066%10 Jun →
ancient5–13-0.0117%5 Jun →
anubis13–00.059%5 Jun →
dust27–13-0.0616%4 Jun →
nuke10–13-0.0410%4 Jun →
mirage13–9-0.047%2 Jun →
cache13–30.0117%2 Jun →
nuke4–13-0.0221%2 Jun →
ancient7–13-0.0612%19 May →
nuke13–16-0.0618%12 May →
overpass2–13-0.0614%12 May →
anubis8–13-0.065%9 May →
nuke10–13-0.0525%8 May →
nuke13–10-0.0120%8 May →
inferno13–3-0.0212%8 May →
overpass13–50.018%8 May →
inferno13–10-0.0411%8 May →
mirage13–90.0110%7 May →
cache13–60.0926%6 May →
cache5–13-0.0417%6 May →
cache11–13-0.0514%4 May →
cache7–13-0.0311%4 May →
cache13–40.1618%4 May →
cache4–13-0.0615%4 May →
cache11–13-0.0322%4 May →
cache2–13-0.058%4 May →
cache10–13-0.0110%1 May →
cache13–20.0417%1 May →
cache2–13-0.1011%1 May →
cache9–13-0.019%30 Apr →
cache12–12-0.0418%30 Apr →
cache10–70.0019%30 Apr →
dust213–9-0.0410%28 Apr →
nuke10–130.0310%28 Apr →
ancient10–13-0.0313%26 Apr →
dust210–130.0221%26 Apr →
inferno6–13-0.019%26 Apr →
mirage1–13-0.080%21 Apr →
ancient7–130.0119%21 Apr →
nuke13–7-0.0423%21 Apr →
ancient7–130.0114%18 Apr →
inferno13–10-0.0522%18 Apr →
nuke13–50.0624%13 Apr →
anubis9–130.003%13 Apr →
dust29–13-0.0420%13 Apr →
inferno4–13-0.090%8 Apr →
dust26–13-0.0620%8 Apr →
dust212–12-0.0217%7 Apr →
inferno11–130.0213%1 Apr →
dust212–12-0.0324%1 Apr →
mirage6–30.0025%1 Apr →
nuke11–13-0.0525%1 Apr →
inferno0–5-0.070%30 Mar →
anubis4–130.029%30 Mar →
mirage13–20.0643%30 Mar →
ancient9–130.0012%30 Mar →
dust28–13-0.0722%29 Mar →
dust213–110.0118%28 Mar →
ancient6–130.0113%28 Mar →
overpass12–20.0333%28 Mar →
inferno12–12-0.074%25 Mar →
overpass4–13-0.069%25 Mar →
dust212–120.0315%25 Mar →
ancient13–5-0.019%25 Mar →
mirage5–13-0.127%24 Mar →
ancient11–13-0.0612%17 Mar →
inferno13–5-0.0225%17 Mar →
mirage13–11-0.0212%17 Mar →
dust27–120.0212%17 Mar →
nuke13–8-0.0424%13 Mar →
dust213–3-0.0120%10 Mar →
nuke13–9-0.0219%10 Mar →
anubis8–13-0.0422%10 Mar →
mirage13–100.0315%18 Feb →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.