Lazy

Lazy — CS2 Stats

CD76561198242539488[U:1:282273760]Steam profile ↗

875Tracked matches41%Win rate2020Tracked since
CSDB Rating5.8 SolidHybrid Rifler
WingmanGold Nova Master
Ladder ranks via Leetify

Performance scores

Aim84
Positioning52
Utility46

0–100 skill scores via Leetify.

Recent form

COLD52417Last 10052%Win rateWLLLLWWLLL

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

Player DNA

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

Aim8.4
Aggression5.2
Utility4.6
Positioning5.2
Opening Duels1.9

Limited utility dependence

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 92% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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

Areas to improve

Positioning. Positioning trails aim by 32 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.

Reaction time. 596ms 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

Aim8.4
Positioning5.2
Utility4.6
Mechanics7.7
Opening Duels1.9
Win Impact2.1

Composite 5.8/10 (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 rating-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time606ms−49ms
first ⅓ avg 655ms → last ⅓ avg 606ms
Headshot accuracy26.8%+4.7%
first ⅓ avg 22.1% → last ⅓ avg 26.8%

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 — dust2 11–13
131Biggest win — anubis
5Longest win streak
65In matches decided by ≤2 rounds

Map breakdown

anubisBest map · 71% over 7officeWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
cacheA1911858%0.00
infernoA1911858%-0.00
dust2B189950%0.00
vertigoB84450%0.02
ancientA74357%0.00
mirageC73443%0.03
anubisS75271%-0.00
officeC52340%0.02
train41325%0.02
nuke21150%-0.01
overpass2020%-0.01
fachwerk110100%0.04
boulder1010%0.03

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.

27.8%Headshot accuracy
35.4%Accuracy (enemy spotted)
37.3%Spray accuracy
84.7%Counter-strafing
9.3°Preaim
596msReaction time
32.3%T opening success
43.3%CT opening success
0.54Enemies flashed / flash
10.1%Flash assists
9.60HE damage / grenade
4.62Flashes / 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 32.31% — 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.

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–110.0249%16 Aug
cache6–130.0024%12 Aug
train10–13-0.0135%12 Aug
train8–130.0123%12 Aug
dust28–13-0.0228%7 Aug
ancient13–6-0.0125%7 Aug
inferno13–70.0024%7 Aug
cache3–13-0.0933%7 Aug
inferno11–13-0.0611%5 Aug
dust28–13-0.0626%5 Aug
vertigo5–13-0.0126%1 Aug
cache8–130.0124%29 Jul
dust213–80.0426%29 Jul
inferno7–13-0.0231%29 Jul
mirage13–20.0931%29 Jul
vertigo13–110.0029%29 Jul
vertigo13–30.0029%29 Jul
nuke6–13-0.0514%28 Jul
inferno8–13-0.0138%28 Jul
anubis11–13-0.0627%28 Jul
anubis13–10.0131%28 Jul
dust212–120.0128%28 Jul
inferno13–100.0127%28 Jul
ancient8–130.0627%22 Jul
dust26–0-0.0014%22 Jul
anubis7–130.0117%22 Jul
inferno13–5-0.0545%22 Jul
cache9–13-0.0133%18 Jul
dust213–60.0623%17 Jul
inferno6–13-0.0127%17 Jul
mirage10–130.0423%13 Jul
fachwerk13–70.0416%10 Jul
boulder10–130.0319%10 Jul
mirage12–12-0.0424%10 Jul
office9–130.0735%10 Jul
office6–13-0.0814%10 Jul
dust27–13-0.0129%9 Jul
ancient13–11-0.0313%6 Jul
vertigo13–30.0524%6 Jul
cache13–30.0027%4 Jul
inferno13–50.0510%4 Jul
dust213–70.0126%4 Jul
inferno7–13-0.0319%3 Jul
dust211–130.1221%3 Jul
cache13–80.0331%3 Jul
anubis13–6-0.0319%2 Jul
cache10–130.0014%2 Jul
ancient13–30.009%2 Jul
vertigo8–13-0.0530%1 Jul
inferno9–130.0033%1 Jul
cache13–60.0215%1 Jul
dust213–110.0034%1 Jul
cache13–70.0619%30 Jun
vertigo12–120.0613%30 Jun
dust212–120.0729%30 Jun
anubis13–80.0130%30 Jun
dust213–9-0.0422%29 Jun
mirage13–100.1023%29 Jun
inferno13–40.0231%29 Jun
ancient13–100.0834%29 Jun
ancient12–12-0.0217%29 Jun
overpass12–12-0.0224%29 Jun
inferno12–12-0.0223%29 Jun
cache3–13-0.0413%28 Jun
anubis13–110.0525%28 Jun
dust28–13-0.0927%28 Jun
cache13–5-0.0442%28 Jun
office13–90.0138%28 Jun
ancient11–13-0.0523%28 Jun
cache13–80.0719%27 Jun
office13–80.0915%26 Jun
inferno13–9-0.0126%25 Jun
inferno13–30.0121%25 Jun
cache13–5-0.0918%24 Jun
vertigo8–13-0.0026%24 Jun
inferno13–4-0.0327%24 Jun
vertigo13–50.0733%20 Jun
train5–130.0116%20 Jun
train13–80.0725%19 Jun
inferno6–10.0628%19 Jun
office11–13-0.0118%19 Jun
cache4–13-0.029%19 Jun
mirage5–13-0.0428%13 Jun
cache13–3-0.0217%13 Jun
inferno13–90.0618%25 May
cache13–100.0727%20 May
inferno10–13-0.0418%20 May
mirage13–6-0.0314%20 May
mirage5–130.1020%10 May
anubis13–90.0126%10 May
dust26–13-0.0918%9 May
cache13–70.0519%9 May
cache13–110.0321%8 May
dust213–6-0.0024%8 May
nuke13–60.0222%8 May
overpass1–130.009%8 May
dust213–100.0222%7 May
inferno13–50.0124%7 May
cache10–130.0427%7 May
dust29–130.0034%6 May

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 →