Pickled-_-

Pickled-_- — CS2 Stats

76561198997180787[U:1:1036915059]Steam profile ↗✓ No bans

1,424Tracked matches38%Win rate2022Tracked since
2,051Hours in CS20Hrs last 2 wks
CSDB Rating6.1 SolidPositional Player
Premier CS Rating22,235Top 50% of 215,386 CSDB-tracked playersPink band · top ~6% of ranked players (population est.)
CSDB Leaderboard#54090 of 261537 tracked
FaceitLevel 8 · 1,527 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Nov 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 22,235 +1,790 2 Mar – 10 Nov · 13 days played
17,97922,235peak 22,2352 Mar10 Nov
22,235Peak Premier in tracked matches
1,527Highest Faceit ELO seen on CSDB
57Days played since 2026-03-02

Faceit ELO

  • At peak — 1,527
  • Next: Level 8 at 1,531 — 4 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-09-08
  • Level 6 first seen 2026-09-08

Premier CS Rating

  • At peak — 22,235
  • +1,234 over 30 days · improving
  • Next: Red band at 25,000 — 2,765 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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.

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate44.2%46.8%48.2%4.0% short
Shot accuracy10.1%13.0%13.2%3.1% short
Kill/death ratio1.041.061.070.03 short
Match win rate52.5%46.3%46.9%above

This profile matches the typical Level 9 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGPickled-_-FACEITLevel 8 · 1,527 ELOSTANDINGTop 31.2% of rankedPREMIER22,235 · Pink bandPEAK ELO1,527csdb.gg/stats

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Performance scores

Aim81
Positioning62
Utility55

0–100 skill scores via Leetify.

Recent form

COLD43–56–1Last 10043%Win rateWLLLTWLLWL

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · −2.1pp headshot accuracy · +35ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 558ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 555ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 537ms

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 (+1.6 against its own average).

Aim8.1
Utility5.5
Positioning6.2
Opening Duels1.8
Clutch4.8

Strong CT-side opener

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 93% playstyle similarity

Most alike: utility contribution, positioning profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim8.1
Positioning6.2
Utility5.5
Mechanics6.0
Opening Duels4.6
Win Impact1.0

Composite 6.1/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 time547ms−116ms
first ⅓ avg 663ms → last ⅓ avg 547ms
Headshot accuracy20.9%+4.2%
first ⅓ avg 16.7% → last ⅓ avg 20.9%

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

0.15Best match rating · 13–5 · anubis, 28 Oct →
37%Best headshot accuracy · 10–13 · mirage, 20 Sept →
375msFastest reaction time · 4–13 · inferno, 14 Oct →
13–0Biggest win · ancient, 26 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–9In matches decided by ≤2 rounds
15Overtime games

Map breakdown

overpassBest map · 80% over 5dust2Weakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
mirageC207–1335%0.00
anubisD155–1033%0.00
ancientB136–746%0.02
infernoD123–925%-0.01
nukeA117–464%-0.01
dust2D102–820%0.00
cacheA53–260%0.02
vertigoA53–260%0.03
overpassS54–180%0.00
office—22–0100%-0.04
train—11–0100%0.04
italy—10–10%0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

57,275Lifetime kills
1.04K/D
3,304Matches
52.5%Match win rate · Top 10% of Level 8 players
44.2%Headshot %
10.1%Shot accuracy
8,896MVPs
1,180Hours (in match)
3,131Bombs planted
853Bombs defused

Most-used weapons

AK-4718,207
AWP3,430
MP92,427
FAMAS1,755
MAC-101,421

Lifetime map wins

3,785inferno
2,750nuke
1,994vertigo
1,524dust2
1,446cbble
482train
373office
69italy

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

Faceit stats

Combat

685Matches
51%Win rate
1.15Avg K/D
79.4ADR
44%Headshot %

Clutches & streaks

44%1v1 clutch win
21%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage22053%1.1216.5
Anubis11152%1.1617.3
Ancient9953%1.1016.5
Nuke8659%1.4017.1
Inferno5638%1.0215.5
Dust23639%0.9114.4
Vertigo3462%1.4118.8
Overpass1354%0.9414.8

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.

20.0%Headshot accuracy
36.5%Accuracy (enemy spotted)
41.0%Spray accuracy
77.2%Counter-strafing
9.0°Preaim
541msReaction time
51.9%T opening success
45.1%CT opening success
0.40Enemies flashed / flash
8.4%Flash assists
10.56HE damage / grenade
10.13Flashes / 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 0.3978 — below the 0.5 mark we flag

    Grenade Lineups →
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.

20% win rate across 10 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
inferno13–110.0619%10 Nov →
inferno14–16-0.0610%8 Nov →
mirage7–13-0.0618%8 Nov →
ancient6–130.0313%5 Nov →
anubis15–15-0.0612%1 Nov →
anubis13–50.1517%28 Oct →
dust29–130.0028%28 Oct →
nuke20–22-0.0020%18 Oct →
dust213–10.0523%18 Oct →
inferno17–19-0.0121%18 Oct →
inferno4–130.0233%14 Oct →
mirage13–110.1321%12 Oct →
ancient13–160.0622%12 Oct →
cache7–130.0018%4 Oct →
cache16–13-0.0314%2 Oct →
mirage2–13-0.107%30 Sept →
ancient2–13-0.0424%27 Sept →
anubis9–13-0.0821%27 Sept →
vertigo11–13-0.0126%27 Sept →
ancient19–150.0016%27 Sept →
inferno13–90.0216%26 Sept →
nuke13–80.0220%26 Sept →
ancient13–00.1019%26 Sept →
dust28–130.0133%23 Sept →
anubis7–13-0.0413%23 Sept →
mirage10–130.1037%20 Sept →
anubis11–130.0223%20 Sept →
mirage10–13-0.0224%20 Sept →
ancient13–100.0420%20 Sept →
anubis16–12-0.0416%17 Sept →
anubis13–50.0126%17 Sept →
nuke13–90.0323%16 Sept →
mirage6–130.0333%16 Sept →
anubis13–50.0013%16 Sept →
cache7–13-0.0113%16 Sept →
mirage13–80.1224%16 Sept →
dust27–13-0.0326%13 Sept →
nuke13–7-0.0516%10 Sept →
nuke19–170.0518%6 Sept →
nuke4–13-0.1215%6 Sept →
dust213–8-0.0122%6 Sept →
inferno5–9-0.137%6 Sept →
office13–5-0.0625%5 Sept →
anubis13–90.0311%5 Sept →
anubis11–130.0113%5 Sept →
inferno3–100.0335%31 Aug →
cache13–00.0612%31 Aug →
ancient16–120.0212%31 Aug →
mirage13–8-0.0121%30 Aug →
dust213–16-0.0115%29 Aug →
cache13–90.1024%29 Aug →
vertigo13–90.1116%29 Aug →
nuke13–11-0.0114%26 Aug →
mirage13–100.0129%21 Aug →
ancient9–13-0.0410%21 Aug →
mirage13–8-0.0021%19 Aug →
anubis6–130.0615%16 Aug →
train13–100.0411%14 Aug →
mirage13–110.003%13 Aug →
ancient9–130.0212%10 Aug →
vertigo6–130.0216%6 Aug →
mirage4–13-0.1018%30 Jul →
ancient13–90.0410%9 Jul →
office13–8-0.0215%8 Jul →
mirage13–11-0.0611%6 Jul →
inferno3–13-0.0329%1 Jul →
overpass10–13-0.0415%30 Jun →
dust210–130.0226%30 Jun →
mirage8–13-0.0917%25 Jun →
ancient19–220.0615%14 Jun →
nuke16–13-0.0116%14 Jun →
inferno9–5-0.0116%14 Jun →
dust28–130.0219%13 Jun →
ancient13–100.0510%24 May →
overpass13–60.0323%24 May →
inferno14–160.0113%28 Apr →
mirage10–13-0.0418%23 Apr →
anubis10–13-0.0310%16 Apr →
vertigo13–70.0311%9 Apr →
vertigo13–5-0.0113%9 Apr →
anubis8–13-0.0810%6 Apr →
anubis8–130.0213%6 Apr →
anubis4–130.0612%6 Apr →
dust29–13-0.0316%3 Apr →
mirage6–130.0418%3 Apr →
mirage10–130.038%30 Mar →
mirage5–13-0.0120%30 Mar →
ancient5–13-0.0623%29 Mar →
overpass13–8-0.1013%23 Mar →
italy7–130.0518%23 Mar →
nuke12–160.0412%22 Mar →
inferno11–130.0216%12 Mar →
overpass13–60.077%11 Mar →
mirage5–130.0233%11 Mar →
overpass13–60.0519%11 Mar →
nuke11–13-0.0917%9 Mar →
inferno5–13-0.0524%9 Mar →
mirage9–130.0323%5 Mar →
nuke13–90.0017%2 Mar →
dust29–130.0124%2 Mar →

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 →

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