The Pickler

The Pickler — CS2 Stats

IM76561198184117379[U:1:223851651]Steam profile ↗✓ No bans

1,813Tracked matches69%Win rate2020Tracked since
3,867Hours in CS14Hrs last 2 wks
CSDB Rating6.8 SolidSupport
Premier CS Rating23,623Top 25% of 213,399 CSDB-tracked playersPink band · top ~4.5% of ranked players (population est.)
CSDB Leaderboard#36628 of 260025 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Nov 2026 (3 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: 23,623 +4,937 27 Aug – 2 Nov · 29 days played
15,76123,623peak 23,62327 Aug2 Nov
23,623Peak Premier in tracked matches
27Days played since 2026-08-27

Premier CS Rating

  • At peak — 23,623
  • +4,959 over 30 days · improving
  • Next: Red band at 25,000 — 1,377 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-28
  • Blue band first seen 2026-08-28

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 Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate44.4%46.9%49.3%4.9% short
Shot accuracy12.8%13.0%13.4%0.6% short
Kill/death ratio0.901.081.120.22 short
Match win rate43.1%46.7%48.5%5.4% short

This profile sits below the typical Red band player on every metric we can compare.

Widest gap: Kill/death ratio. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGThe PicklerPREMIER23,623 · Pink bandcsdb.gg/stats

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Performance scores

Aim65
Positioning56
Utility79

0–100 skill scores via Leetify.

Recent form

HOT54–40–6Last 10054%Win rateWWWWWLWTWW

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating · −3.0pp headshot accuracy · +27ms reaction

Win rate up 20pp 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

  • 5–0 · 100% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 608ms

Last 10

  • 8–1–1 · 80% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 607ms

Last 20

  • 14–5–1 · 70% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 593ms

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 (+3.1 against its own average).

Aim6.5
Utility7.9
Positioning5.6
Opening Duels1.9
Clutch3.8

Effective flashesHigh utility contribution

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

ZywOo

Plays most like ZywOo 66% 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

Strengths

Flashes. 0.81 enemies blinded per flash — utility that consistently lands.

Utility. Utility score of 79 — grenade impact well above the norm.

Areas to improve

Reaction time. 584ms 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

Aim6.5
Positioning5.6
Utility7.9
Mechanics7.6
Opening Duels2.8
Win Impact10.0

Composite 6.8/10 (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 rating-0.00+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.00
Reaction time579ms+8ms
first ⅓ avg 571ms → last ⅓ avg 579ms
Headshot accuracy16.9%−2.8%
first ⅓ avg 19.7% → last ⅓ avg 16.9%

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

0.11Best match rating · 13–2 · dust2, 22 Oct →
38%Best headshot accuracy · 8–13 · inferno, 11 Oct →
391msFastest reaction time · 7–13 · ancient, 11 Oct →
13–1Biggest win · dust2, 11 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W5Current streak
15–4In matches decided by ≤2 rounds
7Overtime games

Map breakdown

cacheBest map · 75% over 8infernoWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B5628–2850%-0.00
mirageS1712–571%-0.02
cacheS86–275%-0.01
infernoC83–538%-0.04
nuke—42–250%-0.04
ancient—41–325%-0.01
anubis—32–167%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

91,447Lifetime kills
0.90K/D
5,372Matches
43.1%Match win rate
44.4%Headshot %
12.8%Shot accuracy
11,606MVPs
2,348Hours (in match)
2,815Bombs planted
1,129Bombs defused

Most-used weapons

AK-4727,155
AWP8,365
SSG 083,925
P2502,754
MAC-102,188
P901,924

Lifetime map wins

29,151dust2
3,838inferno
823nuke
348train
337vertigo
67office
58cbble
55lake

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

Faceit stats

Combat

142Matches
56%Win rate
0.93Avg K/D
79.6ADR
49%Headshot %

Clutches & streaks

39%1v1 clutch win
0%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage2871%1.0415.3
Anubis2045%0.9917.4
Dust21369%0.9619.1
Inferno1070%1.1917.3
Overpass862%0.9815.5
Ancient729%1.0216.9
Cache650%0.9413.8
Nuke540%0.9315.4

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.

17.0%Headshot accuracy
30.5%Accuracy (enemy spotted)
33.2%Spray accuracy
84.3%Counter-strafing
9.1°Preaim
584msReaction time
46.6%T opening success
36.0%CT opening success
0.81Enemies flashed / flash
11.2%Flash assists
6.94HE damage / grenade
14.13Flashes / 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. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 35.973% — below the 40% mark we flag

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.

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–8-0.0316%3 Nov →
dust213–30.0420%3 Nov →
dust213–50.0524%3 Nov →
mirage13–11-0.0310%2 Nov →
dust213–40.0415%2 Nov →
dust24–13-0.028%2 Nov →
mirage13–10-0.0214%1 Nov →
dust212–12-0.0415%1 Nov →
dust213–60.0925%1 Nov →
mirage13–8-0.0513%1 Nov →
dust216–12-0.0215%25 Oct →
dust219–22-0.0117%25 Oct →
mirage13–11-0.0314%23 Oct →
mirage13–40.0524%22 Oct →
mirage9–13-0.0119%22 Oct →
cache13–11-0.0311%22 Oct →
dust213–20.1125%22 Oct →
mirage13–11-0.0329%22 Oct →
dust28–13-0.0523%21 Oct →
dust25–130.0314%21 Oct →
dust27–13-0.027%20 Oct →
mirage13–11-0.0417%20 Oct →
dust213–30.0723%19 Oct →
inferno9–13-0.0513%19 Oct →
cache13–10-0.0421%19 Oct →
cache13–80.0818%18 Oct →
nuke8–13-0.0318%18 Oct →
dust210–13-0.0323%18 Oct →
dust213–10-0.0512%18 Oct →
dust213–40.0412%18 Oct →
dust25–13-0.0714%18 Oct →
dust27–130.0223%17 Oct →
inferno13–5-0.007%17 Oct →
dust216–130.008%17 Oct →
dust24–13-0.0823%16 Oct →
anubis11–13-0.0611%16 Oct →
dust25–13-0.0824%16 Oct →
mirage2–13-0.0522%16 Oct →
dust26–130.0321%15 Oct →
dust22–13-0.129%15 Oct →
mirage13–90.0221%15 Oct →
dust28–130.0820%14 Oct →
dust213–80.0221%14 Oct →
dust213–11-0.0124%13 Oct →
mirage7–13-0.0421%13 Oct →
dust213–110.0122%12 Oct →
dust28–13-0.0132%12 Oct →
dust212–120.0618%12 Oct →
inferno13–11-0.0113%12 Oct →
nuke9–2-0.047%12 Oct →
dust27–13-0.0422%12 Oct →
dust24–13-0.0021%12 Oct →
mirage13–9-0.029%11 Oct →
mirage13–7-0.0517%11 Oct →
inferno7–13-0.0312%11 Oct →
mirage13–60.0620%11 Oct →
nuke2–13-0.1011%11 Oct →
dust212–12-0.0517%11 Oct →
inferno8–13-0.0638%11 Oct →
dust213–60.0012%11 Oct →
cache13–60.0218%11 Oct →
dust213–10.0623%11 Oct →
ancient7–13-0.0118%11 Oct →
dust213–6-0.0517%11 Oct →
dust212–120.0312%11 Oct →
dust213–90.056%10 Oct →
dust28–13-0.0214%10 Oct →
dust27–13-0.1022%10 Oct →
dust213–7-0.0020%10 Oct →
dust213–11-0.0232%10 Oct →
dust213–11-0.058%10 Oct →
cache13–110.0220%10 Oct →
anubis13–2-0.0125%10 Oct →
dust213–60.0327%9 Oct →
anubis16–12-0.006%9 Oct →
dust213–20.0423%9 Oct →
ancient6–130.0113%9 Oct →
dust214–16-0.0623%9 Oct →
dust213–80.0217%9 Oct →
mirage6–13-0.0515%9 Oct →
cache13–90.0316%8 Oct →
inferno16–14-0.0411%8 Oct →
nuke13–11-0.0213%7 Oct →
dust213–90.0017%6 Oct →
mirage11–13-0.0417%6 Oct →
cache7–13-0.0628%5 Oct →
dust22–13-0.0220%5 Oct →
dust26–13-0.0129%5 Oct →
dust27–13-0.0118%5 Oct →
inferno8–13-0.0712%4 Oct →
ancient13–11-0.0422%4 Oct →
mirage13–70.0217%4 Oct →
dust213–50.0620%4 Oct →
dust212–12-0.0611%1 Oct →
ancient15–150.0124%1 Oct →
inferno8–13-0.0335%1 Oct →
cache10–13-0.0831%30 Sept →
dust213–6-0.0124%30 Sept →
dust211–13-0.0316%29 Sept →
dust213–110.0222%29 Sept →

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.