Lazy

Lazy — CS2 Stats

76561198882244619[U:1:921978891]Steam profile ↗✓ No bans

988Tracked matches53%Win rate2020Tracked since
CSDB Rating5.9 SolidPositional Player
FaceitLevel 8 · 1,604 ELOTop 31.2% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 53 days played since 9 Apr 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 17,577 +4,862 9 Apr31 Mar · 14 days played
12,53218,290peak 18,2909 Apr31 Mar
18,622Peak Premier in tracked matches
1,604Highest Faceit ELO seen on CSDB
53Days played since 2025-04-09

Faceit ELO

  • At peak — 1,604
  • Next: Level 9 at 1,751 147 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-17
  • Level 7 first seen 2026-09-17

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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CSDB.GGLazyFACEITLevel 8 · 1,604 ELOSTANDINGTop 31.2% of rankedPEAK ELO1,604csdb.gg/stats

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Performance scores

Aim71
Positioning63
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY54424Last 10054%Win rateWWLLWWLWLL

Last 10 vs previous 10: −10pp win rate · −0.06 avg rating · −12.0pp headshot accuracy · −26ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 32 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 27%
  • Avg reaction 639ms

Last 10

  • 55 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 22%
  • Avg reaction 613ms

Last 20

  • 119 · 55% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 28%
  • Avg reaction 626ms

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 PlayerPositioning stands above the rest of this profile (+1.9 against its own average).

Aim7.1
Utility5.2
Positioning6.3
Opening Duels3.3
Clutch2.8

Strong CT-side openerEffective flashes

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

NiKo

Plays most like NiKo 89% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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 53% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 632ms 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

Aim7.1
Positioning6.3
Utility5.2
Mechanics7.7
Opening Duels2.9
Win Impact6.1

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.03
first ⅓ avg 0.03 → last ⅓ avg 0.00
Reaction time633ms+52ms
first ⅓ avg 581ms → last ⅓ avg 633ms
Headshot accuracy28.3%+4.0%
first ⅓ avg 24.3% → last ⅓ avg 28.3%

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

0.19Best match rating · 9–7 · inferno, 19 Apr
55%Best headshot accuracy · 2–13 · inferno, 4 Mar
391msFastest reaction time · 13–8 · anubis, 3 May
13–1Biggest win · mirage, 25 Feb

Across the last 100 tracked matches.

Highlights

7Longest win streak
W2Current streak
106In matches decided by ≤2 rounds
10Overtime games

Map breakdown

dust2Best map · 67% over 21anubisWeakest map · 40% over 15
MapGradePlayedRecordWin rateAvg rating
mirageB30161453%0.03
dust2S2114767%0.00
infernoA1911858%0.02
anubisC156940%0.01
ancientB126650%0.01
overpass110100%0.05
nuke1010%0.02
train1010%-0.06

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

681Matches
50%Win rate
1.07Avg K/D
76.3ADR
51%Headshot %

Clutches & streaks

34%1v1 clutch win
24%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage20850%1.1314.9
Anubis12756%1.1516.5
Inferno11453%1.0615.6
Dust28248%1.0214.8
Ancient5643%0.9914.2
Nuke2425%1.0415.0
Vertigo1547%0.9116.7
Overpass1030%0.7712.9

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.

28.5%Headshot accuracy
28.7%Accuracy (enemy spotted)
31.3%Spray accuracy
84.7%Counter-strafing
9.5°Preaim
632msReaction time
29.3%T opening success
53.0%CT opening success
0.74Enemies flashed / flash
3.1%Flash assists
6.91HE damage / grenade
9.88Flashes / 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 29.2701% — below the 40% mark we flag

Spend your practice time on Anubis

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

40% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–6-0.0525%7 Sept
mirage13–50.1330%7 Aug
mirage9–13-0.0525%3 Aug
ancient11–130.0430%4 Apr
ancient13–70.0023%4 Apr
mirage13–6-0.0019%31 Mar
mirage8–13-0.0215%20 Mar
mirage13–10-0.0617%17 Mar
inferno1–9-0.267%17 Mar
ancient7–13-0.0125%15 Mar
mirage5–13-0.0324%15 Mar
mirage8–130.0532%15 Mar
dust213–80.0024%15 Mar
dust213–30.0731%15 Mar
dust29–20.0148%15 Mar
mirage6–13-0.0144%13 Mar
overpass13–70.0524%13 Mar
inferno13–40.0949%13 Mar
ancient13–9-0.0144%8 Mar
mirage7–130.0519%8 Mar
mirage13–11-0.0116%7 Mar
inferno8–80.0717%7 Mar
ancient13–40.1132%7 Mar
mirage3–13-0.0316%7 Mar
anubis16–19-0.0120%4 Mar
inferno2–13-0.0355%4 Mar
ancient13–8-0.0140%4 Mar
mirage8–13-0.0442%3 Mar
anubis16–14-0.0222%3 Mar
inferno13–60.0826%2 Mar
anubis7–130.0828%28 Feb
ancient7–13-0.0937%28 Feb
dust216–12-0.0129%28 Feb
mirage6–13-0.0142%28 Feb
anubis13–110.0224%28 Feb
inferno13–30.0428%27 Feb
dust211–13-0.0123%27 Feb
dust210–13-0.0035%26 Feb
dust213–110.0129%26 Feb
mirage13–70.1728%26 Feb
inferno13–8-0.0233%25 Feb
mirage13–10.0836%25 Feb
mirage13–8-0.0027%25 Feb
anubis13–10-0.0427%25 Feb
inferno8–13-0.0717%24 Feb
dust213–4-0.0042%24 Feb
anubis10–13-0.0335%24 Feb
nuke16–190.0240%24 Feb
dust213–8-0.0241%24 Feb
dust210–13-0.0521%24 Feb
mirage13–50.1539%23 Feb
dust213–110.0324%17 Feb
dust216–140.0138%17 Feb
ancient7–130.0834%17 Feb
inferno13–9-0.0132%9 Feb
dust213–100.0532%4 Feb
mirage3–130.1131%4 Feb
dust29–13-0.0441%1 Feb
mirage13–80.0925%1 Feb
mirage3–130.0224%18 Nov
ancient13–110.0526%16 Jul
inferno12–120.0623%21 Jun
inferno13–8-0.0421%16 Jun
dust211–13-0.0931%15 Jun
mirage13–16-0.0133%6 Jun
dust216–14-0.019%5 Jun
anubis13–100.0421%31 May
anubis3–13-0.0122%27 May
train5–13-0.0623%27 May
anubis14–160.0526%18 May
mirage13–30.1029%14 May
inferno12–120.0329%13 May
dust213–50.0424%12 May
mirage11–13-0.0226%11 May
anubis14–16-0.0517%10 May
inferno12–12-0.0430%9 May
mirage13–90.0423%4 May
ancient6–13-0.0220%4 May
anubis13–80.1427%3 May
anubis7–13-0.034%2 May
ancient13–10-0.0221%28 Apr
inferno13–30.0631%26 Apr
dust28–130.0027%26 Apr
anubis13–40.0626%26 Apr
inferno13–20.1526%26 Apr
mirage13–60.0839%23 Apr
inferno13–10.1235%23 Apr
dust213–110.0426%22 Apr
inferno13–100.0517%22 Apr
dust213–40.1215%22 Apr
inferno3–9-0.0726%21 Apr
ancient3–13-0.0219%21 Apr
mirage13–40.0523%21 Apr
anubis7–13-0.0414%19 Apr
inferno9–70.1914%19 Apr
mirage13–100.0131%17 Apr
mirage3–130.1335%15 Apr
mirage13–10.1122%10 Apr
anubis13–160.0221%9 Apr
dust22–13-0.0633%9 Apr

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 →