LazyLizard

LazyLizard — CS2 Stats

DE76561198193316585[U:1:233050857]Steam profile ↗✓ No bans

366Tracked matches50%Win rate2025Tracked since
258Hours in CS
CSDB Rating6.5 SolidPositional Player
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (15 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 366 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 10,985 -346 24 May – 3 Jul · 18 days played
10,39112,024peak 12,02424 May3 Jul
12,962Peak Premier in tracked matches
27Days played since 2026-05-24

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim84
Positioning55
Utility42

0–100 skill scores via Leetify.

Recent form

COLD45–48–7Last 10045%Win rateTLWLTLWLLL

Last 10 vs previous 10: −40pp win rate · −0.04 avg rating · +1.2pp headshot accuracy · +84ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–2–2 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 24%
  • Avg reaction 731ms

Last 10

  • 2–6–2 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 697ms

Last 20

  • 8–9–3 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 25%
  • Avg reaction 655ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1 against its own average).

Aim8.4
Utility4.2
Positioning5.5
Opening Duels5.1
Clutch3.2

Excellent counter-strafingStrong CT-side openerLimited 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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

ZywOo

Plays most like ZywOo 91% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; 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

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 58% on CT to 41% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 653ms 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
Positioning5.5
Utility4.2
Mechanics8.6
Opening Duels4.8
Win Impact5.0

Composite 6.5/10 (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 rating0.03−0.01
first ⅓ avg 0.04 → last ⅓ avg 0.03
Reaction time664ms+86ms
first ⅓ avg 577ms → last ⅓ avg 664ms
Headshot accuracy24.1%−6.9%
first ⅓ avg 31.0% → last ⅓ avg 24.1%

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.

Personal bests

0.23Best match rating · 13–6 · ancient, 10 Jun →
54%Best headshot accuracy · 13–8 · ancient, 24 May →
484msFastest reaction time · 3–13 · nuke, 28 May →
13–1Biggest win · cache, 16 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
8–4In matches decided by ≤2 rounds
11Overtime games

Map breakdown

anubisBest map · 67% over 12infernoWeakest map · 14% over 14
MapGradePlayedRecordWin rateAvg rating
ancientA1610–663%0.07
nukeD165–1131%0.05
mirageA149–564%0.04
infernoD142–1214%0.03
overpassB147–750%0.04
anubisS128–467%0.06
cacheC73–443%0.03
dust2D61–517%-0.04
fachwerk—10–10%0.01

Across the last 100 tracked matches.

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

Lifetime stats

12,553Lifetime kills
1.27K/D · Top 25% of tracked players
647Matches
46.4%Match win rate · Top 50% of tracked players
57.6%Headshot % · Top 10% of tracked players
4.2%Shot accuracy
1,958MVPs
258Hours (in match)
663Bombs planted
203Bombs defused

Most-used weapons

Lifetime map wins

1,402dust2
711inferno
695nuke
63vertigo
53train
35office
17italy
10safehouse

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

Faceit stats

Combat

32Matches
56%Win rate
1.05Avg K/D
76.8ADR
60%Headshot %

Clutches & streaks

36%1v1 clutch win
26%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Dust21164%1.0714.4
Mirage743%1.0215.0
Anubis560%1.1013.4
Inferno450%1.0014.5
Ancient250%0.7210.5
Overpass250%1.5225.0
Nuke1100%0.7915.0

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.

23.5%Headshot accuracy
38.2%Accuracy (enemy spotted)
38.2%Spray accuracy
88.6%Counter-strafing
8.6°Preaim
653msReaction time
40.8%T opening success
57.9%CT opening success
0.42Enemies flashed / flash
7.5%Flash assists
7.06HE damage / grenade
3.66Flashes / 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. 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 0.4181 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Inferno

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.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis15–15-0.079%11 Sept →
ancient11–130.0419%11 Sept →
mirage16–14-0.0424%11 Sept →
cache5–13-0.0346%11 Sept →
inferno15–150.0621%4 Sept →
nuke1–13-0.0319%16 Aug →
cache13–10.0629%16 Aug →
overpass3–13-0.0236%15 Aug →
inferno7–130.1526%15 Aug →
fachwerk3–130.0124%14 Aug →
mirage15–150.0124%10 Jul →
inferno13–5-0.0120%10 Jul →
dust25–13-0.0828%10 Jul →
anubis13–60.1213%10 Jul →
mirage13–20.0521%8 Jul →
overpass13–40.1626%8 Jul →
anubis13–40.1429%8 Jul →
cache3–130.0630%4 Jul →
nuke9–40.1227%4 Jul →
inferno6–9-0.0123%4 Jul →
overpass13–100.0029%3 Jul →
ancient11–13-0.0022%25 Jun →
dust21–9-0.0430%23 Jun →
overpass8–130.0934%22 Jun →
ancient16–120.0216%20 Jun →
overpass9–130.0129%20 Jun →
anubis13–100.0822%19 Jun →
mirage13–100.0624%16 Jun →
mirage13–60.0916%16 Jun →
nuke4–13-0.0724%16 Jun →
mirage13–60.0020%16 Jun →
nuke15–150.0320%14 Jun →
mirage10–130.0319%14 Jun →
mirage13–110.0921%13 Jun →
nuke5–130.1021%13 Jun →
ancient3–130.0316%13 Jun →
anubis3–130.0230%13 Jun →
inferno10–130.0524%13 Jun →
ancient13–30.1934%13 Jun →
nuke15–150.1131%13 Jun →
overpass10–130.0734%13 Jun →
ancient13–80.0829%13 Jun →
ancient7–130.0527%13 Jun →
inferno5–130.0123%13 Jun →
nuke7–130.0422%13 Jun →
ancient13–80.1037%13 Jun →
anubis13–110.1028%13 Jun →
inferno11–13-0.069%13 Jun →
overpass13–11-0.0229%12 Jun →
mirage13–80.0233%12 Jun →
inferno7–13-0.0628%12 Jun →
dust215–150.0224%12 Jun →
ancient3–130.0429%12 Jun →
inferno9–130.0437%12 Jun →
overpass13–4-0.0241%12 Jun →
mirage13–50.0441%12 Jun →
nuke8–00.0519%12 Jun →
nuke7–130.1121%11 Jun →
dust213–16-0.1028%11 Jun →
ancient4–130.0433%11 Jun →
inferno9–13-0.0121%11 Jun →
overpass9–130.0737%11 Jun →
anubis13–60.0220%11 Jun →
overpass2–130.0027%11 Jun →
anubis13–80.1126%11 Jun →
ancient13–60.1334%11 Jun →
overpass13–30.0518%11 Jun →
nuke13–80.0639%10 Jun →
ancient13–60.2334%10 Jun →
dust24–13-0.0333%10 Jun →
cache13–100.0437%9 Jun →
inferno13–60.0331%9 Jun →
nuke13–8-0.0023%9 Jun →
cache13–9-0.0933%9 Jun →
overpass6–130.0125%1 Jun →
inferno14–160.1129%28 May →
nuke3–130.0133%28 May →
anubis13–90.0626%28 May →
ancient13–110.0723%27 May →
mirage6–30.0238%27 May →
anubis13–110.0736%27 May →
overpass13–40.0842%26 May →
mirage9–130.0731%26 May →
anubis8–130.1026%26 May →
ancient13–110.0333%26 May →
nuke13–110.1747%26 May →
cache9–130.1037%26 May →
dust213–7-0.0026%25 May →
inferno10–13-0.0137%25 May →
cache4–130.0332%24 May →
anubis3–13-0.0320%24 May →
inferno4–130.0623%24 May →
overpass13–90.0923%24 May →
nuke2–13-0.0426%24 May →
nuke8–13-0.0017%24 May →
ancient13–80.0454%24 May →
ancient13–20.0219%24 May →
mirage15–150.0323%24 May →
nuke10–130.0633%24 May →
mirage1–130.0735%24 May →

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 →

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