YimSkin

YimSkin — CS2 Stats

PN76561198058816528[U:1:98550800]Steam profile ↗✓ No bans

983Tracked matches60%Win rate2023Tracked since
1,432Hours in CS
CSDB Rating7.2 StrongPositional Player
Premier CS Rating26,041Top 10% of 215,558 CSDB-tracked playersRed band · top ~2.5% of ranked players (population est.)
CSDB Leaderboard#13764 of 261698 tracked
FaceitLevel 9 · 1,401 ELOTop 20.7% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+420Premier CS Rating · 25,621 → 26,041

Rating over time

Premier CS Rating: 26,041 +1,327 20 Jul – 15 Nov · 38 days played
21,78226,749peak 26,74920 Jul15 Nov
Faceit ELO: 1,401 +0 1 Sept – 15 Oct · 4 observations
1,4011,401peak 1,4011 Sept15 Oct
27,002Peak Premier in tracked matches
1,401Highest Faceit ELO seen on CSDB
37Days played since 2026-07-20

Faceit ELO

  • At peak — 1,401
  • Next: Level 8 at 1,531 — 130 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-09-01
  • Level 6 first seen 2026-09-01

Premier CS Rating

  • 708 below peak (26,749)
  • +1,357 over 30 days · improving
  • +2,310 over 90 days
  • Next: Gold band at 30,000 — 3,959 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-09-01
  • Purple band first seen 2026-09-01

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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches5518+37
Win rate58%56%+3pp
K/D1.060.99+0.07
Headshot %54%45%+9pp

Measured 15 Oct 2026 → 15 Nov 2026; previous 13 Sep 2026 → 15 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 9 among CSDB-tracked players (n=15,553), 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 rate58.6%48.2%50.9%above
Shot accuracy11.7%13.2%13.7%2.0% short
Kill/death ratio1.101.071.09meets
Match win rate44.8%46.9%48.4%3.6% short

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. 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.GGYimSkinFACEITLevel 9 · 1,401 ELOSTANDINGTop 20.7% of rankedPREMIER26,041 · Red bandPEAK ELO1,401csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim92
Positioning52
Utility36

0–100 skill scores via Leetify.

Recent form

COLD50–49–1Last 10050%Win rateLWWWLLLLLL

Last 10 vs previous 10: −40pp win rate · +0.01 avg rating · +8.0pp headshot accuracy · −120ms reaction

Win rate down 40pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 23%
  • Avg reaction 489ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 27%
  • Avg reaction 493ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 23%
  • Avg reaction 553ms

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: Positional Player — Positioning stands above the rest of this profile (+1.4 against its own average).

Aim9.2
Utility3.6
Positioning5.2
Opening Duels1.9
Clutch4.4

Sharp aimerExcellent counter-strafingLimited 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

ropz

Plays most like ropz 84% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: 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

Strengths

Aim. Aim score of 92 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 40 points — deaths here waste a strong aim profile.

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

Reaction time. 566ms 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

Aim9.2
Positioning5.2
Utility3.6
Mechanics8.5
Opening Duels3.9
Win Impact8.3

Composite 7.2/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time567ms−11ms
first ⅓ avg 578ms → last ⅓ avg 567ms
Headshot accuracy23.2%+5.2%
first ⅓ avg 17.9% → last ⅓ avg 23.2%

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

0.11Best match rating · 13–5 · cache, 18 Oct →
48%Best headshot accuracy · 6–13 · mirage, 12 Nov →
406msFastest reaction time · 7–13 · anubis, 14 Nov →
13–0Biggest win · ancient, 7 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
10–8In matches decided by ≤2 rounds
9Overtime games

Map breakdown

mirageBest map · 61% over 23infernoWeakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
mirageA2314–961%0.00
cacheC146–843%0.01
dust2C146–843%-0.02
ancientB147–750%-0.01
anubisB137–654%0.00
infernoC125–742%-0.01
nukeA95–456%0.02
vertigo—10–10%0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

82,816Lifetime kills
1.10K/D · Top 50% of Level 9 players
3,009Matches
44.8%Match win rate
58.6%Headshot % · Top 25% of Level 9 players
11.7%Shot accuracy
6,654MVPs
1,432Hours (in match)
1,974Bombs planted
866Bombs defused

Most-used weapons

AK-4743,177
AWP4,871
P2502,072
FAMAS1,394
P90801

Lifetime map wins

7,470dust2
5,489inferno
2,857nuke
635train
402vertigo
326cbble
94office
42assault

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

Faceit stats

Combat

286Matches
52%Win rate
1.04Avg K/D
75.1ADR
48%Headshot %

Clutches & streaks

42%1v1 clutch win
21%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Cache5668%1.1914.2
Dust25652%0.9814.5
Inferno4556%1.1115.7
Mirage3636%0.9817.1
Ancient3639%0.9314.8
Overpass2060%0.9013.2
Anubis1942%1.0514.9
Nuke944%1.0816.0

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.

22.9%Headshot accuracy
39.9%Accuracy (enemy spotted)
41.5%Spray accuracy
88.3%Counter-strafing
7.7°Preaim
566msReaction time
47.2%T opening success
43.8%CT opening success
0.49Enemies flashed / flash
2.5%Flash assists
6.19HE damage / grenade
4.70Flashes / 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 0.4919 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Inferno

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

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache7–13-0.0420%15 Nov →
dust216–140.0917%15 Nov →
nuke13–110.0421%15 Nov →
ancient13–100.0118%14 Nov →
anubis7–130.0537%14 Nov →
ancient8–13-0.0222%14 Nov →
nuke14–160.0126%14 Nov →
mirage6–13-0.0348%12 Nov →
mirage0–13-0.0327%12 Nov →
anubis4–13-0.0632%12 Nov →
anubis16–120.0430%12 Nov →
cache8–13-0.0317%8 Nov →
anubis13–11-0.0220%8 Nov →
ancient13–6-0.0318%8 Nov →
cache9–130.0015%8 Nov →
mirage16–13-0.0414%8 Nov →
anubis13–80.0313%7 Nov →
mirage13–90.0316%7 Nov →
nuke7–13-0.0121%7 Nov →
nuke13–10-0.0123%6 Nov →
mirage13–30.0032%6 Nov →
anubis13–30.0121%6 Nov →
cache11–130.0930%6 Nov →
cache13–100.0423%4 Nov →
ancient13–100.0120%4 Nov →
mirage16–130.0024%4 Nov →
anubis8–13-0.0525%25 Oct →
inferno13–20.0328%25 Oct →
cache13–60.0419%25 Oct →
dust213–4-0.0124%25 Oct →
nuke13–110.0522%25 Oct →
mirage9–130.0021%21 Oct →
anubis6–130.0222%21 Oct →
dust24–13-0.0413%21 Oct →
dust24–13-0.097%21 Oct →
nuke14–160.035%21 Oct →
mirage7–13-0.026%20 Oct →
mirage13–30.0316%20 Oct →
cache13–70.0112%19 Oct →
ancient6–13-0.0314%19 Oct →
mirage13–11-0.0229%18 Oct →
dust213–70.0414%18 Oct →
cache13–50.1115%18 Oct →
nuke13–70.0227%18 Oct →
dust26–13-0.0420%18 Oct →
mirage13–10.0834%18 Oct →
mirage3–13-0.0636%18 Oct →
inferno11–13-0.0119%11 Oct →
cache10–13-0.0319%11 Oct →
ancient8–13-0.0121%11 Oct →
cache13–50.0312%4 Oct →
cache13–100.0122%4 Oct →
anubis16–14-0.0015%4 Oct →
nuke13–100.0622%30 Sept →
inferno6–13-0.0625%30 Sept →
mirage13–20.0011%30 Sept →
inferno7–13-0.0710%30 Sept →
inferno2–130.0217%30 Sept →
anubis15–15-0.0416%27 Sept →
mirage4–10-0.0529%27 Sept →
ancient13–90.0816%25 Sept →
mirage13–90.0318%25 Sept →
mirage13–110.0116%24 Aug →
dust24–13-0.0312%15 Aug →
ancient13–110.0812%12 Aug →
ancient3–13-0.0821%11 Aug →
cache4–13-0.0320%11 Aug →
cache4–13-0.0227%10 Aug →
dust28–130.0127%10 Aug →
mirage13–60.0414%10 Aug →
dust210–130.0219%7 Aug →
inferno13–7-0.0127%7 Aug →
ancient13–00.0119%7 Aug →
inferno13–50.0414%6 Aug →
anubis13–6-0.044%5 Aug →
mirage13–50.0213%4 Aug →
nuke9–13-0.0121%3 Aug →
cache14–160.0218%2 Aug →
inferno13–5-0.0221%1 Aug →
mirage13–30.0116%1 Aug →
anubis10–130.0313%30 Jul →
vertigo11–130.0813%30 Jul →
mirage13–60.049%30 Jul →
inferno9–13-0.039%30 Jul →
mirage7–13-0.0418%29 Jul →
mirage6–130.0413%29 Jul →
ancient11–13-0.029%29 Jul →
ancient11–13-0.0017%28 Jul →
mirage5–130.0327%27 Jul →
dust213–3-0.0328%26 Jul →
dust24–13-0.106%26 Jul →
anubis13–80.0615%22 Jul →
inferno13–110.0522%22 Jul →
inferno10–130.0119%22 Jul →
dust26–13-0.0833%22 Jul →
ancient8–13-0.0721%22 Jul →
ancient13–100.0121%22 Jul →
inferno10–13-0.0421%21 Jul →
dust213–110.0124%20 Jul →
dust213–10-0.0315%20 Jul →

Match data via Leetify.

Recent teammates

Milestones

500 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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