Patar

Patar — CS2 Stats

AU76561198043878521[U:1:83612793]Steam profile ↗✓ No bans

740Tracked matches53%Win rate2023Tracked since
CSDB Rating3.1 Learning
Premier CS Rating8,253Light Blue band · top ~63.2% of ranked players (population est.)
CSDB Leaderboard#24275 of 32509 tracked
Ladder ranks via Leetify

Share this profile

CSDB.GGPatarPREMIER8,253 · Light Blue bandcsdb.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

Aim26
Positioning46
Utility23

0–100 skill scores via Leetify.

Recent form

STEADY4654Last 10046%Win rateLWLWWWLWLW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating

Player DNA

Aim2.6
Aggression2.5
Utility2.3
Positioning4.6
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 67% 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. 644ms 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

Aim2.6
Positioning4.6
Utility2.3
Mechanics5.1
Opening Duels0.0
Win Impact6.1

Composite 3.1/10 (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-0.03+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time633ms−35ms
first ⅓ avg 668ms → last ⅓ avg 633ms
Headshot accuracy9.9%−1.9%
first ⅓ avg 11.8% → last ⅓ avg 9.9%

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.

Highlights

0.07Best rating — dust2 13–2
132Biggest win — inferno
5Longest win streak
97In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 71% over 7ancientWeakest map · 29% over 17
MapGradePlayedRecordWin rateAvg rating
dust2C23101343%-0.04
mirageB1991047%-0.05
ancientD1751229%-0.03
infernoB168850%-0.04
overpassB105550%-0.04
anubisS75271%-0.04
nukeB63350%-0.04
cache110100%-0.01
train1010%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Ancient 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.

10.7%Headshot accuracy
29.6%Accuracy (enemy spotted)
33.0%Spray accuracy
73.0%Counter-strafing
13.9°Preaim
644msReaction time
27.1%T opening success
25.9%CT opening success
0.31Enemies flashed / flash
6.5%Flash assists
4.50HE damage / grenade
2.14Flashes / 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 13.9191° — 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 10.6945% — below the 15% mark we flag

    Aim Training
  3. 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 0.3064 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Ancient

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

29% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno7–13-0.095%23 Aug
anubis13–50.0018%23 Aug
ancient11–13-0.0313%10 Aug
inferno13–10-0.037%10 Aug
mirage13–90.0513%7 Aug
anubis13–6-0.0210%6 Aug
mirage3–13-0.093%6 Aug
mirage13–5-0.017%5 Aug
inferno8–13-0.0310%5 Aug
inferno13–11-0.069%4 Aug
cache13–9-0.0113%4 Aug
mirage13–6-0.0414%4 Aug
ancient13–110.0514%3 Aug
mirage3–13-0.055%3 Aug
ancient4–13-0.064%31 Jul
mirage10–13-0.074%31 Jul
anubis13–8-0.0511%31 Jul
dust27–13-0.0718%25 Jul
nuke10–13-0.0115%25 Jul
mirage14–16-0.0417%25 Jul
ancient10–130.018%25 Jul
inferno13–2-0.093%19 Jul
mirage13–11-0.0212%19 Jul
mirage7–13-0.0216%19 Jul
ancient10–13-0.029%12 Jul
dust211–13-0.0215%9 Jul
inferno13–8-0.019%6 Jul
nuke13–60.0011%6 Jul
overpass13–7-0.0414%2 Jul
dust213–90.016%2 Jul
anubis13–7-0.046%30 Jun
inferno7–13-0.069%30 Jun
ancient7–13-0.070%30 Jun
ancient13–11-0.066%29 Jun
ancient14–160.0113%25 Jun
ancient11–13-0.026%23 Jun
overpass13–3-0.054%22 Jun
overpass13–20.0115%18 Jun
dust29–13-0.0719%18 Jun
nuke11–13-0.0612%17 Jun
dust216–140.0517%17 Jun
mirage13–11-0.0521%10 Jun
inferno16–120.049%10 Jun
overpass5–13-0.095%10 Jun
dust25–13-0.0810%10 Jun
overpass6–13-0.072%4 Jun
dust213–11-0.037%4 Jun
dust213–8-0.0318%3 Jun
mirage13–6-0.093%3 Jun
anubis8–13-0.068%2 Jun
ancient10–13-0.0119%2 Jun
inferno13–7-0.0526%1 Jun
dust213–8-0.0111%1 Jun
dust27–13-0.0717%26 May
overpass4–13-0.056%26 May
mirage13–3-0.083%15 May
anubis6–13-0.066%15 May
dust27–13-0.0813%29 Apr
mirage13–10-0.085%22 Apr
inferno10–13-0.078%22 Apr
ancient13–6-0.046%21 Mar
dust213–11-0.058%21 Mar
inferno5–13-0.0910%14 Mar
dust216–14-0.078%14 Mar
ancient13–4-0.087%4 Mar
mirage6–13-0.0713%28 Feb
inferno8–13-0.080%28 Feb
anubis13–4-0.058%28 Feb
ancient3–13-0.0414%25 Dec
overpass10–13-0.026%25 Dec
dust25–13-0.0411%25 Dec
nuke9–13-0.0914%24 Dec
nuke13–9-0.059%24 Dec
inferno7–13-0.044%24 Dec
overpass14–16-0.0413%22 Dec
ancient9–13-0.054%22 Dec
inferno13–80.0123%22 Dec
overpass13–9-0.098%22 Dec
mirage13–16-0.0311%15 Dec
dust26–13-0.114%15 Dec
mirage10–13-0.0713%23 Nov
ancient6–13-0.036%23 Nov
dust213–5-0.0517%23 Nov
inferno9–130.0013%22 Nov
overpass13–70.079%22 Nov
dust23–13-0.0617%22 Nov
mirage6–13-0.0214%22 Nov
train7–13-0.046%18 Nov
dust213–20.0721%18 Nov
ancient13–60.0217%18 Nov
mirage13–6-0.017%18 Nov
mirage3–13-0.1115%15 Nov
dust29–13-0.0713%15 Nov
dust22–13-0.1120%15 Nov
nuke13–7-0.0310%14 Nov
dust24–13-0.0715%14 Nov
dust213–30.0111%8 Nov
ancient8–13-0.073%25 Oct
dust29–13-0.0017%25 Oct
inferno13–10-0.0218%25 Oct

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 →