pata

pata — CS2 Stats

SE76561199088651574[U:1:1128385846]Steam profile ↗

1,603Tracked matches40%Win rate2020Tracked since
1,713Hours in CS
CSDB Rating4.2 Developing
Premier CS Rating15,000Purple band · top ~28.4% of ranked players (population est.)
CSDB Leaderboard#10438 of 16160 tracked
WingmanGold Nova Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=201), 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 medianvs Pink band
Headshot rate47.5%48.1%meets
Shot accuracy8.0%12.9%4.8% short
Kill/death ratio1.001.080.08 short
Match win rate45.6%46.5%meets

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGpataPREMIER15,000 · Purple bandcsdb.gg/stats

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Performance scores

Aim52
Positioning38
Utility63

0–100 skill scores via Leetify.

Recent form

COLD4654Last 10046%Win rateLLWLWLLWLL

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

Player DNA

Aim5.2
Aggression3.1
Utility6.3
Positioning3.8
Opening Duels0.5
Clutch1.6

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 81% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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 43% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

Counter-strafing. Only 68% 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

Aim5.2
Positioning3.8
Utility6.3
Mechanics3.9
Opening Duels1.6
Win Impact1.7

Composite 4.2/10 (Developing), 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-0.03+0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time542ms−93ms
first ⅓ avg 635ms → last ⅓ avg 542ms
Headshot accuracy21.6%+2.6%
first ⅓ avg 19.0% → last ⅓ avg 21.6%

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

0.12Best rating — anubis 13–3
130Biggest win — dust2
4Longest win streak
L2Current streak
711In matches decided by ≤2 rounds
17Overtime games

Map breakdown

trainBest map · 100% over 5mirageWeakest map · 13% over 15
MapGradePlayedRecordWin rateAvg rating
dust2C45182740%-0.03
infernoS2114767%-0.02
mirageD1521313%-0.03
cacheD93633%-0.05
trainS550100%-0.01
anubisS54180%0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (13% over 15). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

78,469Lifetime kills
1.00K/D
4,156Matches
45.6%Match win rate
47.5%Headshot % · Top 50% of tracked players
8.0%Shot accuracy
7,939MVPs
1,713Hours (in match)
5,418Bombs planted
1,142Bombs defused

Most-used weapons

AK-4720,774
MP77,239
AWP3,032
SG 5532,143
FAMAS1,322

Lifetime map wins

10,735inferno
8,052dust2
1,503nuke
1,452vertigo
904train
30ar_shoots
28cbble
15ar_baggage

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

Faceit stats

Combat

167Matches
53%Win rate
0.82Avg K/D
66.5ADR
52%Headshot %

Clutches & streaks

28%1v1 clutch win
20%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Inferno4055%0.8012.3
Dust24058%0.8812.2
Mirage3853%0.8312.6
Ancient1656%0.7811.0
Anubis1638%0.7212.7
Nuke850%0.8214.5
Train520%0.6911.8
Vertigo2100%1.1812.5

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.

21.4%Headshot accuracy
27.4%Accuracy (enemy spotted)
29.4%Spray accuracy
67.6%Counter-strafing
10.0°Preaim
536msReaction time
20.8%T opening success
43.1%CT opening success
0.63Enemies flashed / flash
5.3%Flash assists
10.61HE damage / grenade
13.87Flashes / 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 20.8261% — below the 40% mark we flag

Spend your practice time on Mirage

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

13% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
cache8–13-0.0511%22 Aug
dust28–130.0228%22 Aug
inferno13–90.0225%22 Aug
dust210–13-0.0428%21 Aug
dust213–100.0428%21 Aug
dust24–13-0.0628%21 Aug
mirage12–16-0.0124%20 Aug
dust213–10-0.0332%20 Aug
cache11–13-0.0523%19 Aug
inferno11–13-0.0424%19 Aug
inferno14–16-0.0612%18 Aug
dust27–13-0.078%17 Aug
dust213–10-0.117%17 Aug
train13–10.0314%17 Aug
anubis16–19-0.0312%16 Aug
inferno13–11-0.0234%16 Aug
inferno16–14-0.0021%16 Aug
dust213–16-0.0418%16 Aug
mirage5–13-0.0513%16 Aug
mirage10–13-0.0923%15 Aug
train13–60.0517%15 Aug
inferno13–2-0.0135%15 Aug
dust211–13-0.0215%15 Aug
dust27–13-0.0129%14 Aug
anubis13–70.0131%14 Aug
mirage8–13-0.0815%14 Aug
inferno13–6-0.0330%14 Aug
dust213–7-0.0136%14 Aug
cache5–13-0.1021%13 Aug
dust28–13-0.049%8 Aug
dust213–10-0.0120%8 Aug
dust213–4-0.0317%8 Aug
train16–14-0.0225%8 Aug
inferno13–8-0.0226%8 Aug
dust26–13-0.0516%6 Aug
dust213–60.029%6 Aug
inferno16–14-0.0525%5 Aug
dust213–4-0.0027%5 Aug
train13–10-0.0727%5 Aug
cache8–13-0.038%4 Aug
mirage11–130.0327%2 Aug
dust215–19-0.0711%2 Aug
inferno13–100.0116%2 Aug
dust213–90.0516%2 Aug
inferno14–16-0.0222%1 Aug
anubis13–10-0.0126%1 Aug
dust213–40.0621%1 Aug
inferno10–13-0.0620%1 Aug
mirage16–140.0316%1 Aug
inferno9–13-0.0228%31 Jul
cache13–90.0111%31 Jul
mirage2–8-0.0418%31 Jul
dust213–8-0.0129%31 Jul
dust213–70.0620%31 Jul
inferno13–90.0113%30 Jul
dust211–13-0.0313%30 Jul
mirage13–16-0.0320%30 Jul
inferno13–40.0420%30 Jul
cache11–13-0.088%30 Jul
mirage5–13-0.0615%29 Jul
dust28–13-0.0524%29 Jul
mirage12–16-0.0235%28 Jul
dust213–9-0.0523%28 Jul
dust210–13-0.0721%28 Jul
dust213–0-0.0234%28 Jul
dust213–16-0.0514%28 Jul
dust210–13-0.0614%27 Jul
cache13–5-0.0527%27 Jul
dust27–13-0.0817%27 Jul
anubis22–20-0.0614%27 Jul
dust22–13-0.0824%26 Jul
inferno13–7-0.0723%26 Jul
dust27–130.0627%18 Jul
inferno10–13-0.0622%18 Jul
mirage11–13-0.0319%18 Jul
dust28–130.0115%18 Jul
anubis13–30.1219%17 Jul
mirage10–13-0.0114%17 Jul
dust26–13-0.0816%17 Jul
dust216–13-0.0316%17 Jul
mirage6–13-0.0620%16 Jul
dust219–16-0.0320%16 Jul
inferno13–90.0224%14 Jul
inferno13–50.0021%14 Jul
dust26–130.0113%14 Jul
dust26–13-0.0622%14 Jul
mirage13–50.0110%12 Jul
dust213–9-0.0417%12 Jul
inferno13–70.0424%12 Jul
dust22–13-0.0322%12 Jul
cache13–9-0.0329%12 Jul
dust214–16-0.0321%12 Jul
train13–7-0.0218%12 Jul
dust213–11-0.0818%12 Jul
dust26–13-0.1019%12 Jul
dust27–13-0.0721%11 Jul
inferno10–13-0.0522%11 Jul
cache11–13-0.068%11 Jul
mirage5–13-0.0913%11 Jul
dust28–130.0511%11 Jul

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 →