lalaz

lalaz — CS2 Stats

76561198001878658[U:1:41612930]Steam profile ↗✓ No bans

4,795Tracked matches59%Win rate2023Tracked since
CSDB Rating4.9 DevelopingSupport
Premier CS Rating16,035Purple band · top ~24.3% of ranked players (population est.)
FaceitLevel 5 · 903 ELOTop 67.6% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 16,035 +1,445 28 Aug – 16 Oct · 12 days played
14,59016,406peak 16,40628 Aug16 Oct
Faceit ELO: 903 +0 28 Aug – 5 Oct · 3 observations
903903peak 90328 Aug5 Oct
16,506Peak Premier in tracked matches
903Highest Faceit ELO seen on CSDB
16Days played since 2026-08-28

Faceit ELO

  • At peak — 903
  • 0 over 30 days · steady
  • Next: Level 5 at 1,051 — 148 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-08-28
  • Level 3 first seen 2026-08-28

Premier CS Rating

  • 371 below peak (16,406)
  • Next: Pink band at 20,000 — 3,965 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-10-05
  • Blue band first seen 2026-08-28

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.

Share this profile

CSDB.GGlalazFACEITLevel 5 · 903 ELOSTANDINGTop 67.6% of rankedPREMIER16,035 · Purple band30 DAYS0 ELOPEAK ELO903csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim53
Positioning40
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY60–29–11Last 10060%Win rateWWLWLLWWLT

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −4.4pp headshot accuracy · +6ms reaction

Win rate 0pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 10%
  • Avg reaction 558ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 559ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 556ms

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: Support — Utility contribution stands above the rest of this profile (+3.3 against its own average).

Aim5.3
Utility6.6
Positioning4.0
Opening Duels0.4
Clutch2.2

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

Twistzz

Plays most like Twistzz 74% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Reaction time. 562ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.3
Positioning4.0
Utility6.6
Mechanics3.8
Opening Duels1.0
Win Impact8.1

Composite 4.9/10 (Developing), 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-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time562ms−28ms
first ⅓ avg 590ms → last ⅓ avg 562ms
Headshot accuracy14.3%−2.3%
first ⅓ avg 16.6% → last ⅓ avg 14.3%

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

0.13Best match rating · 13–4 · dust2, 25 Sept →
36%Best headshot accuracy · 13–1 · dust2, 8 Oct →
422msFastest reaction time · 13–3 · dust2, 13 Oct →
13–1Biggest win · dust2, 8 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
4–5In matches decided by ≤2 rounds
1Overtime games

Map breakdown

infernoBest map · 80% over 5dust2Weakest map · 62% over 76
MapGradePlayedRecordWin rateAvg rating
dust2A7647–2962%-0.00
infernoS54–180%-0.02
ancient—42–250%-0.03
mirage—31–233%-0.03
nuke—31–233%-0.02
vertigo—32–167%-0.04
anubis—21–150%-0.05
train—21–150%-0.04
cache—21–150%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (62% over 76). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

70Matches
56%Win rate
0.81Avg K/D
72.2ADR
43%Headshot %

Clutches & streaks

31%1v1 clutch win
23%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Dust22259%0.8913.9
Inferno1267%0.7412.4
Ancient1050%0.8614.8
Anubis944%0.8213.8
Mirage838%0.7011.9
Nuke475%0.8915.5
Cache475%0.6912.0
Overpass10%0.295.0

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.

14.9%Headshot accuracy
31.1%Accuracy (enemy spotted)
36.7%Spray accuracy
67.0%Counter-strafing
9.7°Preaim
562msReaction time
37.9%T opening success
28.7%CT opening success
0.52Enemies flashed / flash
11.9%Flash assists
9.16HE damage / grenade
12.80Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.8737% — below the 15% mark we flag

    Aim Training →
  2. 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 37.8893% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
dust213–7-0.0610%16 Oct →
dust213–40.0317%16 Oct →
anubis3–13-0.078%16 Oct →
dust27–00.103%16 Oct →
dust26–13-0.0914%16 Oct →
dust211–130.0119%14 Oct →
dust213–50.0016%14 Oct →
dust213–10-0.0419%14 Oct →
dust24–13-0.0511%14 Oct →
mirage15–15-0.0313%14 Oct →
dust213–4-0.0714%14 Oct →
ancient13–50.0429%14 Oct →
dust24–130.0219%14 Oct →
dust27–13-0.0816%14 Oct →
dust212–120.0915%14 Oct →
dust213–60.0419%14 Oct →
dust29–13-0.0722%13 Oct →
dust213–30.0014%13 Oct →
dust211–13-0.058%12 Oct →
dust213–60.0320%12 Oct →
dust27–13-0.0419%12 Oct →
dust26–13-0.0621%12 Oct →
train12–12-0.048%10 Oct →
train13–2-0.047%10 Oct →
dust213–70.014%10 Oct →
dust213–100.0010%10 Oct →
dust27–13-0.0717%10 Oct →
dust213–100.0222%10 Oct →
dust29–00.0621%10 Oct →
dust213–50.028%10 Oct →
dust213–70.089%10 Oct →
dust212–12-0.0613%10 Oct →
nuke13–2-0.0410%9 Oct →
anubis13–6-0.0311%9 Oct →
dust213–4-0.0111%9 Oct →
dust23–13-0.0919%9 Oct →
dust213–30.0125%9 Oct →
dust212–12-0.0718%9 Oct →
dust213–11-0.0221%9 Oct →
dust213–20.018%8 Oct →
nuke7–13-0.0119%8 Oct →
dust213–1-0.0136%8 Oct →
cache2–13-0.085%8 Oct →
mirage6–13-0.0512%6 Oct →
dust213–9-0.0016%6 Oct →
dust25–13-0.0116%6 Oct →
ancient13–110.0416%6 Oct →
inferno13–20.0113%3 Oct →
dust213–9-0.0710%2 Oct →
dust213–30.0718%2 Oct →
dust213–10.078%2 Oct →
dust212–12-0.0520%2 Oct →
dust213–8-0.0517%2 Oct →
ancient6–13-0.1019%2 Oct →
dust26–13-0.0514%1 Oct →
dust213–10.0613%1 Oct →
ancient7–13-0.1112%1 Oct →
inferno13–3-0.0324%1 Oct →
inferno13–5-0.0312%1 Oct →
inferno13–6-0.0119%1 Oct →
mirage13–6-0.0119%1 Oct →
dust28–13-0.0516%1 Oct →
dust213–50.0211%1 Oct →
dust22–13-0.0520%1 Oct →
dust212–120.0122%1 Oct →
dust212–12-0.0124%1 Oct →
dust211–13-0.0321%29 Sept →
dust213–4-0.0516%29 Sept →
dust24–1-0.0414%29 Sept →
dust213–50.0413%29 Sept →
dust213–40.0221%29 Sept →
dust24–13-0.0810%29 Sept →
inferno9–13-0.0215%29 Sept →
cache13–60.0614%29 Sept →
vertigo11–13-0.0313%27 Sept →
dust212–120.0513%27 Sept →
dust213–60.0419%27 Sept →
dust213–40.0415%27 Sept →
dust213–60.0332%27 Sept →
dust213–50.0612%27 Sept →
dust213–7-0.0111%27 Sept →
nuke3–13-0.0215%26 Sept →
dust212–120.0523%26 Sept →
vertigo13–7-0.0620%26 Sept →
dust213–7-0.0225%26 Sept →
dust212–120.0413%26 Sept →
vertigo13–10-0.0214%26 Sept →
dust25–13-0.0113%26 Sept →
dust213–40.0214%26 Sept →
dust213–11-0.0426%26 Sept →
dust213–5-0.0111%26 Sept →
dust28–130.0324%26 Sept →
dust213–5-0.0126%25 Sept →
dust213–40.1313%25 Sept →
dust211–13-0.0218%25 Sept →
dust213–20.076%25 Sept →
dust213–20.1213%23 Sept →
dust213–40.0417%23 Sept →
dust213–11-0.0713%23 Sept →
dust213–50.0429%23 Sept →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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