lays

lays — CS2 Stats

CA76561198376808459[U:1:416542731]Steam profile ↗✓ No bans

212Tracked matches50%Win rate2021Tracked since
CSDB Rating6.3 SolidAggressive Rifler
Ladder ranks via Leetify

Performance scores

Aim77
Positioning66
Utility38

0–100 skill scores via Leetify.

Recent form

STEADY52426Last 10052%Win rateLLTLWWLLWW

Last 10 vs previous 10: -30pp win rate · -0.02 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.7
Aggression6.9
Utility3.8
Positioning6.6
Opening Duels4.2

Strong CT-side opener

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

ropz

Plays most like ropz 91% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 55% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 592ms 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

Aim7.7
Positioning6.6
Utility3.8
Mechanics8.1
Opening Duels4.2
Win Impact5.0

Composite 6.3/10 (Solid), 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 rating0.04−0.01
first ⅓ avg 0.05 → last ⅓ avg 0.04
Reaction time594ms+22ms
first ⅓ avg 572ms → last ⅓ avg 594ms
Headshot accuracy23.0%−2.2%
first ⅓ avg 25.2% → last ⅓ avg 23.0%

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

0.23Best rating — ancient 4–0
130Biggest win — mirage
8Longest win streak
L2Current streak
48In matches decided by ≤2 rounds
14Overtime games

Map breakdown

nukeBest map · 83% over 6trainWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
mirageB27131448%0.06
dust2B22111150%0.04
infernoA159660%0.06
ancientC94544%0.07
trainD93633%0.05
nukeS65183%0.05
vertigoA53260%0.06
anubisC52340%0.01
overpass220100%0.09

Across the last 100 tracked matches.

Skill profile

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

23.8%Headshot accuracy
32.2%Accuracy (enemy spotted)
36.1%Spray accuracy
86.5%Counter-strafing
9.6°Preaim
592msReaction time
38.0%T opening success
55.2%CT opening success
0.66Enemies flashed / flash
8.5%Flash assists
5.77HE damage / grenade
8.60Flashes / 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 38.0067% — below the 40% mark we flag

Spend your practice time on Train

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
mirage7–130.0221%19 Apr
mirage4–130.0333%19 Apr
dust215–150.0630%19 Apr
mirage10–130.0131%19 Apr
nuke13–70.0224%19 Apr
dust213–9-0.0215%24 Dec
dust211–13-0.0118%24 Dec
nuke5–13-0.0120%23 Dec
dust213–80.0219%23 Dec
mirage13–00.106%23 Dec
nuke13–100.0126%23 Dec
mirage13–110.1212%23 Dec
mirage13–90.0321%23 Dec
inferno3–13-0.0727%16 Dec
vertigo13–20.0743%16 Dec
inferno16–130.0623%16 Dec
ancient11–13-0.0218%15 Dec
ancient13–110.1121%7 Dec
mirage6–130.0722%7 Dec
dust213–40.0833%20 Sept
dust29–130.0128%8 Aug
nuke13–100.1227%17 Mar
mirage6–130.0317%17 Mar
train13–70.0838%13 Mar
inferno10–13-0.0228%12 Mar
vertigo3–90.0516%12 Mar
mirage15–150.0716%10 Mar
train11–130.0526%10 Mar
ancient3–120.0518%9 Mar
train13–50.0630%9 Mar
mirage3–130.0320%8 Mar
inferno13–70.0718%8 Mar
train13–70.0914%8 Mar
anubis13–70.0721%8 Mar
inferno7–10.1421%8 Mar
train15–150.0549%8 Mar
dust213–100.1019%8 Mar
inferno8–130.0710%8 Mar
mirage13–40.1416%7 Mar
train15–150.0219%7 Mar
anubis13–70.0632%5 Mar
dust29–130.0420%4 Mar
inferno13–160.0924%4 Mar
ancient13–50.0826%3 Mar
ancient4–00.2320%3 Mar
mirage16–120.0421%3 Mar
dust24–13-0.0326%3 Mar
mirage13–60.1126%3 Mar
dust215–150.0213%1 Mar
anubis9–13-0.069%26 Feb
mirage9–130.0318%26 Feb
mirage13–80.0420%25 Feb
ancient13–10.1136%25 Feb
dust26–130.1230%24 Feb
inferno9–130.0716%24 Feb
nuke13–40.1727%24 Feb
mirage6–130.0426%24 Feb
ancient11–130.0232%22 Feb
mirage13–4-0.0250%22 Feb
nuke16–130.0218%22 Feb
inferno12–140.1521%22 Feb
dust213–100.1226%21 Feb
mirage13–80.0316%19 Feb
inferno13–50.0332%19 Feb
dust213–30.1229%19 Feb
inferno16–130.0424%18 Feb
dust216–130.0326%18 Feb
inferno13–70.0826%18 Feb
mirage13–40.0656%17 Feb
mirage6–130.0721%17 Feb
dust210–13-0.0220%16 Feb
train9–13-0.0522%16 Feb
anubis4–13-0.0311%16 Feb
mirage11–130.0620%14 Feb
dust213–40.1123%14 Feb
dust212–12-0.0137%12 Feb
train10–130.0633%10 Feb
mirage11–130.0542%10 Feb
train9–130.0915%8 Feb
inferno13–90.0517%8 Feb
dust213–90.0224%12 Oct
inferno13–80.0127%26 Sept
ancient11–130.0325%21 Sept
mirage13–50.0617%21 Sept
vertigo13–100.1036%13 Sept
vertigo2–130.000%13 Sept
mirage7–130.0333%21 Jul
dust22–13-0.0650%12 Jun
dust29–130.0718%5 Jun
vertigo13–30.0725%30 May
anubis6–130.0129%27 May
mirage13–90.0819%27 May
mirage7–20.0126%26 May
mirage9–130.1432%26 May
ancient8–130.0215%18 May
dust216–140.0117%8 May
overpass16–140.0625%11 Apr
inferno13–90.1619%1 Apr
dust213–100.1226%31 Mar
overpass13–60.1227%31 Mar

Match data via Leetify.

Recent teammates

Milestones

100 Matches
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