FINESTpickle45 — CS2 Stats

76561198978353183[U:1:1018087455]✓ No bans

411Tracked matches35%Win rate2020Tracked since
CSDB Rating1.0 Learning
Premier CS Rating7,676Light Blue band · top ~66% of ranked players (population est.)
CSDB Leaderboard#17669 of 23427 tracked
Ladder ranks via Leetify

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CSDB.GGFINESTpickle45PREMIER7,676 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim10
Positioning21
Utility14

0–100 skill scores via Leetify.

Recent form

STEADY42535Last 10042%Win rateLLLWWLWLWL

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating

Player DNA

Aim1.0
Aggression0.0
Utility1.4
Positioning2.1
Opening Duels0.0

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

NiKo

Plays most like NiKo 52% playstyle similarity

Most alike: opening-duel success, positioning profile.

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

T-side openings. Opening success drops from 29% on CT to 9% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 712ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 56% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim1.0
Positioning2.1
Utility1.4
Mechanics1.3
Opening Duels0.0
Win Impact0.0

Composite 1.0/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.06−0.02
first ⅓ avg -0.04 → last ⅓ avg -0.06
Reaction time703ms+4ms
first ⅓ avg 699ms → last ⅓ avg 703ms
Headshot accuracy12.7%−0.8%
first ⅓ avg 13.5% → last ⅓ avg 12.7%

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

0.11Best rating — inferno 7–1
131Biggest win — mirage
6Longest win streak
L3Current streak
79In matches decided by ≤2 rounds
2Overtime games

Map breakdown

cacheBest map · 63% over 8nukeWeakest map · 14% over 14
MapGradePlayedRecordWin rateAvg rating
infernoC1761135%-0.04
dust2D1541127%-0.05
mirageB158753%-0.04
nukeD1421214%-0.07
anubisC94544%-0.05
cacheA85363%-0.03
vertigoC73443%-0.07
ancientB63350%-0.04
office42250%-0.03
overpass220100%0.08
boulder110100%-0.05
stronghold110100%0.03
train110100%-0.05

Across the last 100 tracked matches.

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

Skill profile

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

13.1%Headshot accuracy
27.8%Accuracy (enemy spotted)
29.3%Spray accuracy
56.0%Counter-strafing
14.5°Preaim
712msReaction time
9.0%T opening success
29.1%CT opening success
0.48Enemies flashed / flash
0.0%Flash assists
4.86HE damage / grenade
1.95Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 14.4968° — above the 12° mark we flag

    Aim Training
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.1394% — below the 15% mark we flag

    Aim Training
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 711.9007ms — above the 700ms mark we flag

    Aim Training
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.

14% 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
nuke11–13-0.0813%24 Aug
inferno8–13-0.0511%24 Aug
office11–13-0.0614%22 Aug
boulder13–9-0.0519%22 Aug
dust213–4-0.0328%14 Aug
dust26–13-0.0526%12 Aug
ancient13–10-0.0610%12 Aug
inferno4–13-0.038%8 Aug
nuke13–11-0.068%8 Aug
mirage4–13-0.0515%7 Aug
mirage13–10-0.066%6 Aug
dust21–13-0.128%6 Aug
inferno11–13-0.037%3 Aug
inferno6–13-0.028%3 Aug
inferno9–13-0.0919%3 Aug
mirage13–6-0.1011%3 Aug
anubis13–6-0.0612%3 Aug
inferno8–13-0.087%3 Aug
dust22–13-0.118%27 Jul
ancient9–13-0.0411%27 Jul
nuke5–13-0.0812%27 Jul
vertigo13–11-0.0415%26 Jul
dust213–11-0.0819%25 Jul
cache12–12-0.0338%25 Jul
inferno12–12-0.0410%24 Jul
dust27–13-0.0221%24 Jul
mirage12–120.027%19 Jul
anubis4–13-0.084%19 Jul
inferno0–8-0.080%19 Jul
nuke12–12-0.088%19 Jul
inferno9–13-0.048%18 Jul
vertigo6–13-0.1520%18 Jul
vertigo9–13-0.089%14 Jul
nuke9–13-0.118%14 Jul
anubis6–13-0.059%9 Jul
dust213–110.0118%9 Jul
office6–13-0.0121%8 Jul
ancient3–13-0.029%8 Jul
anubis13–6-0.0526%8 Jul
dust211–13-0.0518%3 Jul
cache5–13-0.0312%3 Jul
cache13–80.0917%2 Jul
vertigo6–13-0.0316%30 Jun
office13–10-0.0615%30 Jun
dust25–13-0.0223%29 Jun
dust28–13-0.0615%28 Jun
mirage13–20.048%25 Jun
inferno13–9-0.0313%25 Jun
inferno13–7-0.0810%25 Jun
dust211–130.0317%25 Jun
nuke9–13-0.0510%25 Jun
mirage9–13-0.098%25 Jun
mirage13–10.0014%25 Jun
nuke5–13-0.085%25 Jun
dust27–13-0.054%24 Jun
nuke2–13-0.0313%24 Jun
ancient13–11-0.064%24 Jun
nuke4–13-0.028%24 Jun
overpass13–80.1116%23 Jun
inferno13–5-0.035%23 Jun
dust25–10-0.045%23 Jun
anubis13–20.078%22 Jun
mirage6–13-0.1210%22 Jun
overpass16–140.0515%22 Jun
mirage11–13-0.0318%21 Jun
anubis0–13-0.079%21 Jun
ancient11–13-0.0416%21 Jun
vertigo13–10-0.068%21 Jun
nuke2–13-0.083%21 Jun
inferno13–9-0.0315%9 Jun
mirage10–13-0.0610%2 Jun
dust213–7-0.0611%2 Jun
cache5–13-0.045%2 Jun
mirage9–13-0.068%11 May
cache13–4-0.088%11 May
nuke13–10-0.0813%8 May
mirage13–4-0.0216%8 May
office13–10.0114%8 May
cache13–10-0.0330%8 May
cache13–10-0.089%30 Apr
nuke7–9-0.0613%30 Apr
cache13–9-0.068%29 Apr
anubis8–13-0.0520%27 Apr
anubis13–10-0.0719%17 Apr
stronghold13–90.0322%17 Apr
vertigo13–5-0.060%17 Apr
train13–9-0.059%17 Apr
nuke10–13-0.0417%17 Apr
inferno5–13-0.0916%17 Apr
mirage13–5-0.069%17 Apr
mirage16–14-0.0617%10 Apr
vertigo3–13-0.0921%6 Apr
inferno7–10.1117%6 Apr
inferno10–130.0121%4 Apr
anubis12–12-0.087%2 Apr
mirage13–90.0119%30 Mar
inferno13–3-0.0126%30 Mar
dust25–13-0.0714%30 Mar
nuke7–9-0.095%25 Mar
ancient13–80.0015%25 Mar

Match data via Leetify.

Recent teammates

Milestones

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