Laziie

Laziie — CS2 Stats

US76561198125641046[U:1:165375318]Steam profile ↗

93Tracked matches71%Win rate2021Tracked since
CSDB Rating7.6 StrongAggressive Rifler
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

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CSDB.GGLaziieFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim86
Positioning70
Utility59

0–100 skill scores via Leetify.

Recent form

HOT57259Last 9163%Win rateLWWWWWLWWL

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating

Player DNA

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

Aim8.6
Aggression7.9
Utility5.9
Positioning7.0
Opening Duels4.6

Sharp aimerExcellent counter-strafingStrong 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

donk

Plays most like donk 96% playstyle similarity

Most alike: utility contribution, positioning 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

Strengths

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

CT openings. 66% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 66% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 657ms 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

Aim8.6
Positioning7.0
Utility5.9
Mechanics8.7
Opening Duels4.6
Win Impact10.0

Composite 7.6/10 (Strong), 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 rating0.05+0.04
first ⅓ avg 0.01 → last ⅓ avg 0.05
Reaction time654ms−56ms
first ⅓ avg 709ms → last ⅓ avg 654ms
Headshot accuracy31.9%−2.5%
first ⅓ avg 34.4% → last ⅓ avg 31.9%

Rolling 5-match average across the last 91 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.18Best rating — inferno 13–5
131Biggest win — mirage
9Longest win streak
24In matches decided by ≤2 rounds
13Overtime games

Map breakdown

nukeBest map · 82% over 11infernoWeakest map · 56% over 9
MapGradePlayedRecordWin rateAvg rating
mirageA42251760%0.03
dust2A149564%0.03
nukeS119282%0.03
infernoA95456%0.03
overpassS64267%0.06
cache43175%0.04
ancient21150%0.11
anubis21150%0.03
train1010%0.07

Across the last 91 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (56% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

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

31.1%Headshot accuracy
38.2%Accuracy (enemy spotted)
34.7%Spray accuracy
89.0%Counter-strafing
9.5°Preaim
657msReaction time
30.6%T opening success
66.0%CT opening success
0.62Enemies flashed / flash
11.0%Flash assists
11.22HE damage / grenade
9.00Flashes / 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 30.6164% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
ancient5–130.0944%27 Aug
inferno13–100.0932%26 Aug
mirage13–110.1620%23 Aug
nuke13–60.0628%23 Aug
inferno13–80.1432%21 Aug
mirage8–10.1525%21 Aug
mirage4–130.0027%21 Aug
ancient13–50.1431%16 Aug
mirage13–70.0621%16 Aug
mirage4–13-0.0735%16 Aug
mirage11–130.1425%14 Aug
mirage13–60.0531%11 Aug
inferno13–50.1835%8 Aug
mirage13–100.1042%8 Aug
dust25–130.1035%4 Aug
dust213–40.1537%22 Jun
anubis7–130.0965%1 Jun
dust212–12-0.0226%1 Jun
nuke11–13-0.0423%1 Jun
mirage8–13-0.0227%30 May
mirage13–70.0232%30 May
dust213–2-0.0345%30 May
dust27–20.0550%30 May
nuke13–70.0230%30 May
dust213–7-0.0433%29 May
dust213–3-0.0428%29 May
dust213–7-0.0337%29 May
mirage13–100.0218%29 May
anubis13–10-0.0221%27 May
mirage12–12-0.0521%27 May
mirage13–11-0.0125%26 May
dust213–60.0640%26 May
dust213–60.0845%26 May
overpass13–90.0443%26 May
mirage13–40.0121%25 May
overpass5–130.0053%24 May
mirage13–10.1228%24 May
mirage13–10.0348%24 May
nuke13–100.0235%23 May
train6–130.0738%22 May
mirage8–130.0438%22 May
nuke13–90.0634%22 May
nuke13–7-0.0132%22 May
overpass13–80.1032%21 May
mirage12–120.0317%21 May
inferno5–130.0337%21 May
dust210–130.0345%20 May
mirage13–9-0.0435%19 May
nuke13–10-0.0239%17 May
nuke12–120.0742%17 May
dust211–13-0.0139%17 May
mirage13–100.1252%16 May
nuke13–90.0157%16 May
dust212–120.1040%16 May
overpass13–90.0950%14 May
mirage13–90.0234%13 May
mirage12–12-0.0435%13 May
mirage8–5-0.0273%12 May
mirage13–30.1265%12 May
mirage12–120.0571%11 May
mirage13–30.1558%10 May
cache13–80.0258%10 May
overpass13–90.0751%7 May
cache12–120.0531%6 May
nuke13–70.0757%6 May
mirage13–9-0.0439%5 May
mirage8–130.0331%5 May
cache13–50.1135%2 May
nuke13–50.0859%2 May
inferno9–5-0.0638%1 May
inferno7–9-0.0858%1 May
inferno4–9-0.1235%1 May
overpass7–130.0447%10 May
inferno5–130.0349%10 May
inferno13–60.0465%9 May
mirage13–100.0142%9 May
mirage12–12-0.0636%8 May
mirage16–40.0021%16 Jul
mirage16–120.0023%10 Jul
mirage16–100.0026%17 Jun
mirage13–160.0025%14 May
mirage16–110.0020%1 Apr
mirage3–160.0016%30 Mar
mirage10–150.0024%23 Mar
dust216–100.0025%15 Mar
cache12–10.0018%11 Mar
mirage16–80.0025%9 Mar
mirage8–160.0020%3 Mar
mirage16–70.0016%3 Feb
mirage11–160.0024%1 Feb
mirage8–160.0019%30 Jan

Match data via Leetify.

Recent teammates

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