Pickle

Pickle — CS2 Stats

AU76561198314108911[U:1:353843183]Steam profile ↗

1,684Tracked matches77%Win rate2020Tracked since
3,897Hours in CS9Hrs last 2 wks
CSDB Rating6.8 SolidHybrid Rifler
FaceitLevel 8 · 1,661 ELOTop 31.2% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

Share this profile

CSDB.GGPickleFACEITLevel 8 · 1,661 ELOSTANDINGTop 31.2% 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

Aim90
Positioning56
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY61309Last 10061%Win rateWTLTWWTWWL

Last 10 vs previous 10: -40pp win rate · -0.03 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim9.0
Aggression6.0
Utility5.4
Positioning5.6
Opening Duels2.2
Clutch5.0

Sharp aimer

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Twistzz

Plays most like Twistzz 94% playstyle similarity

Most alike: positioning profile, opening-duel success.

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 90 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 34 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.

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

Aim9.0
Positioning5.6
Utility5.4
Mechanics8.4
Opening Duels2.2
Win Impact10.0

Composite 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time524ms−13ms
first ⅓ avg 537ms → last ⅓ avg 524ms
Headshot accuracy25.5%+8.3%
first ⅓ avg 17.2% → last ⅓ avg 25.5%

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.

Highlights

0.14Best rating — dust2 4–0
131Biggest win — dust2
14Longest win streak
56In matches decided by ≤2 rounds
1Overtime games

Map breakdown

trainBest map · 80% over 5anubisWeakest map · 50% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B25131252%0.02
mirageA2113862%0.02
nukeS107370%0.00
infernoS107370%0.06
cacheA95456%0.03
anubisB84450%0.00
ancientA53260%0.02
vertigoA53260%0.02
trainS54180%0.04
boulder110100%0.03
overpass110100%0.08

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (50% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

111,342Lifetime kills
1.07K/D · Top 50% of tracked players
5,709Matches
56.2%Match win rate · Top 5% of tracked players
45.3%Headshot %
14.0%Shot accuracy · Top 50% of tracked players
19,203MVPs
2,405Hours (in match)
3,813Bombs planted
3,258Bombs defused

Most-used weapons

AK-4734,517
AWP15,491
SSG 082,369
MP91,957
SG 5531,601

Lifetime map wins

10,231dust2
8,301inferno
3,838vertigo
3,779train
3,361nuke
922cbble
298office
208lake

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

Faceit stats

Combat

153Matches
56%Win rate
1.02Avg K/D
87.2ADR
42%Headshot %

Clutches & streaks

45%1v1 clutch win
18%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Dust2540%1.4416.0
Anubis425%1.2918.3
Inferno3100%1.0318.7
Overpass2100%0.9717.0
Ancient2100%1.6230.0
Mirage20%1.1419.5
Train2100%0.9715.0
Vertigo10%1.2421.0

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.

24.3%Headshot accuracy
36.6%Accuracy (enemy spotted)
35.3%Spray accuracy
88.0%Counter-strafing
7.4°Preaim
524msReaction time
35.8%T opening success
41.4%CT opening success
0.60Enemies flashed / flash
8.5%Flash assists
6.55HE damage / grenade
9.90Flashes / 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

    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 35.8094% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
anubis13–110.0333%28 Aug
cache12–120.0636%26 Aug
anubis9–130.0529%25 Aug
cache12–120.0420%23 Aug
nuke13–9-0.0223%23 Aug
mirage13–7-0.0112%20 Aug
anubis15–150.0213%19 Aug
anubis13–6-0.0414%19 Aug
mirage13–100.0341%18 Aug
nuke9–13-0.0713%16 Aug
inferno9–40.0926%16 Aug
ancient12–120.0325%16 Aug
dust213–5-0.0117%16 Aug
anubis13–30.0511%14 Aug
inferno13–30.0930%14 Aug
nuke13–6-0.0023%14 Aug
dust213–110.0937%14 Aug
cache13–7-0.0230%13 Aug
dust24–00.14100%13 Aug
dust213–3-0.0216%11 Aug
inferno13–70.0720%10 Aug
dust213–90.0119%10 Aug
ancient13–60.0611%10 Aug
ancient13–80.0127%9 Aug
inferno13–50.0921%9 Aug
dust213–70.0242%9 Aug
nuke4–13-0.0217%8 Aug
mirage13–100.0136%7 Aug
mirage10–13-0.0421%6 Aug
dust20–13-0.1013%3 Aug
cache0–11-0.0530%2 Aug
anubis10–130.0116%2 Aug
vertigo13–70.0320%2 Aug
mirage13–100.0530%2 Aug
dust27–130.0229%1 Aug
cache4–130.0332%1 Aug
inferno13–10-0.0342%31 Jul
dust20–9-0.1214%28 Jul
mirage13–110.0012%24 Jul
dust212–12-0.0022%23 Jul
inferno13–70.0726%20 Jul
anubis4–13-0.0714%19 Jul
mirage13–4-0.0425%19 Jul
nuke7–13-0.0022%19 Jul
train13–10-0.0216%16 Jul
mirage13–30.0621%15 Jul
inferno13–60.1039%15 Jul
inferno10–130.1021%15 Jul
cache13–110.0321%13 Jul
train13–80.0117%13 Jul
mirage12–120.0524%13 Jul
dust22–130.0122%13 Jul
ancient13–80.0711%12 Jul
boulder13–20.0325%9 Jul
mirage11–130.0220%8 Jul
dust213–7-0.0035%6 Jul
inferno12–120.0417%5 Jul
dust212–120.0736%5 Jul
dust212–120.0217%4 Jul
train11–130.0317%4 Jul
mirage13–60.1024%4 Jul
dust22–13-0.0211%1 Jul
cache13–60.1130%1 Jul
mirage11–130.0922%30 Jun
ancient8–13-0.0518%29 Jun
dust213–40.1124%29 Jun
mirage8–13-0.0024%25 Jun
mirage13–60.0120%24 Jun
dust213–50.1027%24 Jun
cache13–110.0111%24 Jun
mirage13–60.0423%24 Jun
dust29–13-0.018%24 Jun
overpass13–80.0817%23 Jun
dust29–00.1219%23 Jun
nuke13–20.0415%22 Jun
vertigo13–70.038%22 Jun
cache13–50.0625%21 Jun
nuke13–40.0214%18 Jun
mirage8–130.0615%18 Jun
train13–90.0524%18 Jun
dust213–100.0819%15 Jun
mirage11–13-0.0315%14 Jun
inferno11–13-0.0318%14 Jun
dust213–1-0.0228%14 Jun
vertigo13–20.0811%13 Jun
nuke13–30.0317%13 Jun
dust210–13-0.0711%9 Jun
dust26–13-0.0522%8 Jun
anubis13–9-0.0310%8 Jun
mirage13–40.0119%8 Jun
vertigo8–130.0325%7 Jun
nuke13–6-0.037%7 Jun
mirage13–40.0621%6 Jun
vertigo11–13-0.0411%6 Jun
nuke13–60.0612%5 Jun
dust28–30.0415%5 Jun
mirage13–60.0717%27 May
dust27–13-0.0021%23 May
train13–30.1223%23 May
mirage4–13-0.0318%21 May

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches14-Win StreakAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →