Pickle Prick

Pickle Prick — CS2 Stats

US76561199097892736[U:1:1137627008]Steam profile ↗✓ No bans

701Tracked matches57%Win rate2020Tracked since
892Hours in CS4Hrs last 2 wks
CSDB Rating3.7 LearningPositional Player
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. Today is the first observation — history builds from here and cannot be backfilled. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=8,862), 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 3 medianLevel 4 medianvs Level 4
Headshot rate49.9%41.9%42.7%above
Shot accuracy8.5%12.2%11.2%2.7% short
Kill/death ratio0.670.981.000.32 short
Match win rate33.4%43.3%43.9%10.5% short

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

Widest gap: Kill/death ratio. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGPickle PrickFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.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

Aim43
Positioning25
Utility16

0–100 skill scores via Leetify.

Recent form

STEADY40555Last 10040%Win rateLWLWWLWLTL

Last 10 vs previous 10: −40pp win rate · +0.03 avg rating · −4.1pp headshot accuracy · −34ms 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 (+0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 32 · 60% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 11%
  • Avg reaction 597ms

Last 10

  • 451 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 12%
  • Avg reaction 621ms

Last 20

  • 1271 · 60% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 14%
  • Avg reaction 638ms

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 PlayerPositioning stands above the rest of this profile (+1.1 against its own average).

Aim4.3
Utility1.6
Positioning2.5
Opening Duels0.0

Limited 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

NiKo

Plays most like NiKo 94% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 659ms 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

Aim4.3
Positioning2.5
Utility1.6
Mechanics6.5
Opening Duels0.0
Win Impact7.4

Composite 3.7/10 (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-0.06−0.01
first ⅓ avg -0.04 → last ⅓ avg -0.06
Reaction time660ms−19ms
first ⅓ avg 679ms → last ⅓ avg 660ms
Headshot accuracy21.3%+6.1%
first ⅓ avg 15.3% → last ⅓ avg 21.3%

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

0.08Best match rating · 5–13 · cache, 5 May
100%Best headshot accuracy · 1–5 · office, 29 Jun
422msFastest reaction time · 1–5 · office, 29 Jun
13–2Biggest win · dust2, 4 May

Across the last 100 tracked matches.

Highlights

6Longest win streak
103In matches decided by ≤2 rounds

Map breakdown

vertigoBest map · 71% over 7nukeWeakest map · 21% over 14
MapGradePlayedRecordWin rateAvg rating
dust2B179853%-0.03
mirageD1641225%-0.04
nukeD1431121%-0.07
cacheB126650%-0.04
infernoC94544%-0.05
vertigoS75271%-0.07
ancientD72529%-0.07
overpass31233%-0.07
anubis31233%-0.04
office31233%-0.02
warden31233%-0.08
train21150%-0.07
fachwerk220100%-0.06
shelter1010%-0.11
boulder1010%-0.08

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

15,446Lifetime kills
0.67K/D
1,107Matches
33.4%Match win rate
49.9%Headshot % · Top 25% of Level 3 players
8.5%Shot accuracy
1,234MVPs
376Hours (in match)
725Bombs planted
211Bombs defused

Most-used weapons

Lifetime map wins

1,131dust2
966nuke
941inferno
707vertigo
243office
43train
13italy
9cbble

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

18.0%Headshot accuracy
26.2%Accuracy (enemy spotted)
29.4%Spray accuracy
79.2%Counter-strafing
9.7°Preaim
659msReaction time
23.9%T opening success
25.6%CT opening success
0.32Enemies flashed / flash
6.3%Flash assists
2.21HE damage / grenade
2.81Flashes / 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 0.3237 — 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 23.9411% — below the 40% mark we flag

Spend your practice time on Nuke

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

21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
dust28–130.0219%17 Sept
inferno13–11-0.077%14 Sept
nuke5–13-0.0823%14 Sept
vertigo13–10-0.093%13 Sept
mirage13–3-0.033%13 Sept
mirage4–13-0.0312%12 Sept
cache13–10-0.0417%12 Sept
mirage10–13-0.0213%17 Aug
mirage12–12-0.0410%17 Aug
inferno7–13-0.0315%17 Aug
dust24–13-0.0923%17 Aug
ancient13–11-0.078%17 Aug
overpass13–10-0.059%25 Jul
ancient13–11-0.0913%25 Jul
dust213–11-0.0719%25 Jul
train13–9-0.077%25 Jul
dust213–7-0.0810%24 Jul
anubis7–13-0.0429%11 Jul
fachwerk13–9-0.0626%9 Jul
mirage13–7-0.0519%9 Jul
shelter10–13-0.1125%9 Jul
boulder10–13-0.0819%9 Jul
fachwerk13–4-0.0720%9 Jul
anubis3–13-0.0432%8 Jul
cache13–5-0.0550%8 Jul
overpass3–9-0.0829%1 Jul
inferno9–6-0.0526%1 Jul
ancient2–13-0.0731%29 Jun
office1–5-0.04100%29 Jun
cache13–11-0.0323%29 Jun
nuke13–11-0.0617%27 Jun
mirage12–12-0.0818%27 Jun
inferno10–13-0.0034%27 Jun
nuke0–6-0.110%26 Jun
mirage6–13-0.0717%26 Jun
cache5–13-0.0714%26 Jun
cache4–13-0.0221%22 Jun
nuke12–12-0.0729%22 Jun
nuke7–0-0.0730%22 Jun
nuke5–13-0.107%20 Jun
ancient10–13-0.0641%20 Jun
vertigo11–13-0.0731%14 Jun
dust213–10-0.0323%14 Jun
ancient1–8-0.088%13 Jun
mirage13–80.0318%13 Jun
dust211–13-0.055%12 Jun
ancient8–13-0.0515%11 Jun
mirage8–13-0.0419%6 Jun
vertigo13–4-0.0917%6 Jun
dust213–10-0.0313%5 Jun
dust213–10-0.0511%5 Jun
vertigo9–70.0218%4 Jun
mirage13–4-0.0216%3 Jun
mirage9–13-0.0810%3 Jun
dust28–130.0324%2 Jun
dust213–8-0.0414%1 Jun
dust212–12-0.0511%23 May
nuke9–13-0.0816%23 May
warden5–6-0.0722%22 May
mirage8–13-0.0622%22 May
vertigo13–6-0.058%22 May
dust210–130.0022%22 May
inferno8–8-0.034%22 May
warden4–13-0.119%19 May
inferno9–7-0.0322%15 May
nuke1–9-0.260%15 May
mirage6–13-0.119%12 May
mirage6–13-0.086%12 May
inferno4–9-0.1915%12 May
mirage2–13-0.0316%12 May
office13–90.0418%11 May
nuke7–13-0.0315%10 May
anubis13–11-0.059%10 May
overpass10–13-0.0716%10 May
nuke8–130.0511%10 May
cache13–6-0.0516%10 May
vertigo13–9-0.117%10 May
vertigo10–13-0.094%10 May
ancient3–13-0.0811%10 May
nuke13–9-0.0413%10 May
cache13–5-0.0323%10 May
inferno13–8-0.0316%10 May
nuke3–13-0.0919%10 May
mirage3–130.0023%10 May
dust213–7-0.0125%9 May
office11–13-0.0614%7 May
train4–13-0.0714%7 May
nuke5–13-0.028%7 May
dust213–9-0.0925%7 May
dust25–13-0.0110%7 May
cache0–13-0.0513%7 May
cache13–7-0.099%6 May
nuke4–13-0.0711%6 May
inferno3–13-0.0425%6 May
cache3–13-0.0411%6 May
cache5–130.0820%5 May
cache4–13-0.0318%5 May
dust25–13-0.0314%4 May
dust213–20.0219%4 May
warden10–13-0.0632%2 May

Match data via Leetify.

Recent teammates

Milestones

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