Licaaaaaaa

Licaaaaaaa — CS2 Stats

76561198815804261[U:1:855538533]Steam profile ↗✓ No bans

1,631Tracked matches53%Win rate2020Tracked since
3,814Hours in CS9Hrs last 2 wks
CSDB Rating5.7 SolidSupport
Premier CS Rating18,684Top 50% of 205,416 CSDB-tracked playersPurple band · top ~13.7% of ranked players (population est.)
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Oct 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

+631Premier CS Rating · 18,053 → 18,684

Rating over time

Premier CS Rating: 18,684 +1,041 7 Mar – 17 Oct · 37 days played
16,74319,221peak 19,2217 Mar17 Oct
19,490Peak Premier in tracked matches
46Days played since 2026-03-07

Premier CS Rating

  • 537 below peak (19,221)
  • +562 over 30 days · improving
  • +1,099 over 90 days
  • Next: Pink band at 20,000 — 1,316 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-13
  • Blue band first seen 2026-09-13

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches20——
Win rate45%——
K/D1.40——
Headshot %46%——

Measured 15 Sep 2026 → 17 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=15,126), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 8 medianLevel 9 medianvs Level 9
Headshot rate40.7%46.8%48.2%7.5% short
Shot accuracy10.4%13.0%13.2%2.8% short
Kill/death ratio0.871.061.070.20 short
Match win rate49.0%46.3%46.9%above

This profile matches the typical Level 9 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGLicaaaaaaaFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER18,684 · Purple bandcsdb.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

Aim55
Positioning57
Utility75

0–100 skill scores via Leetify.

Recent form

HOT48–52Last 10048%Win rateWWLWWLWWLW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating · +1.9pp headshot accuracy · +29ms reaction

Win rate up 30pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 583ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 585ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 571ms

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 (+2.8 against its own average).

Aim5.5
Utility7.5
Positioning5.7
Opening Duels3.5
Clutch2.0

High utility contribution

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 69% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

Strengths

Utility. Utility score of 75 — grenade impact well above the norm.

Areas to improve

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

Aim5.5
Positioning5.7
Utility7.5
Mechanics5.2
Opening Duels3.5
Win Impact6.1

Composite 5.7/10 (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 rating0.00+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time587ms−27ms
first ⅓ avg 615ms → last ⅓ avg 587ms
Headshot accuracy14.8%+0.2%
first ⅓ avg 14.6% → last ⅓ avg 14.8%

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.

Personal bests

0.12Best match rating · 8–13 · dust2, 28 Jul →
33%Best headshot accuracy · 3–13 · dust2, 19 Jul →
406msFastest reaction time · 4–13 · inferno, 19 Jul →
13–1Biggest win · italy, 7 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
7–9In matches decided by ≤2 rounds
10Overtime games

Map breakdown

cacheBest map · 67% over 12ancientWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageB2412–1250%-0.01
dust2C198–1142%0.02
infernoB179–853%0.01
cacheS128–467%-0.00
anubisB115–645%0.01
ancientD72–529%-0.03
nuke—41–325%-0.04
overpass—41–325%-0.01
italy—11–0100%-0.01
warden—11–0100%0.09

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

62,457Lifetime kills
0.87K/D
3,891Matches
49.0%Match win rate · Top 50% of Level 8 players
40.7%Headshot %
10.4%Shot accuracy
7,343MVPs
1,758Hours (in match)
5,916Bombs planted
960Bombs defused

Most-used weapons

AK-4722,135
AWP2,687
MP91,810
P2501,671
FAMAS1,571
MAC-101,535

Lifetime map wins

7,784inferno
5,446dust2
2,021vertigo
1,650nuke
692train
294cbble
13italy
9bank

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

Faceit stats

Combat

1,401Matches
50%Win rate
0.91Avg K/D
65.3ADR
43%Headshot %

Clutches & streaks

30%1v1 clutch win
14%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Anubis27756%0.9013.5
Mirage24549%0.8713.4
Ancient18547%0.8913.6
Inferno10742%0.8613.5
Vertigo9854%0.9213.7
Dust29541%0.7911.8
Nuke5448%0.9213.6
Overpass4166%0.9615.1

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.

15.2%Headshot accuracy
36.2%Accuracy (enemy spotted)
41.3%Spray accuracy
73.3%Counter-strafing
13.3°Preaim
596msReaction time
37.9%T opening success
50.4%CT opening success
0.59Enemies flashed / flash
12.2%Flash assists
7.67HE damage / grenade
21.33Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.3165° — above the 12° mark we flag

    Aim Training →
Spend your practice time on Ancient

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage16–140.0515%17 Oct →
cache13–8-0.0111%17 Oct →
ancient2–13-0.0311%17 Oct →
ancient13–70.009%17 Oct →
inferno13–60.0327%15 Oct →
inferno11–130.0615%13 Oct →
cache13–50.0517%13 Oct →
nuke13–70.0117%13 Oct →
cache10–13-0.0210%8 Oct →
inferno13–90.0418%8 Oct →
inferno13–100.0017%3 Oct →
mirage10–13-0.0623%3 Oct →
mirage13–100.059%2 Oct →
nuke10–130.007%2 Oct →
anubis7–130.0322%1 Oct →
nuke2–13-0.097%1 Oct →
cache12–16-0.0316%20 Sept →
anubis16–130.1018%20 Sept →
inferno0–2-0.120%14 Sept →
anubis13–80.0512%11 Sept →
mirage10–130.0314%9 Sept →
inferno6–13-0.0419%9 Sept →
dust25–130.0325%9 Sept →
mirage6–13-0.0425%24 Aug →
cache16–14-0.0310%24 Aug →
dust28–130.0318%24 Aug →
cache13–5-0.0112%24 Aug →
mirage13–70.0110%8 Aug →
mirage13–30.0419%8 Aug →
inferno13–100.0615%5 Aug →
ancient6–13-0.0612%5 Aug →
inferno2–130.0119%5 Aug →
nuke9–13-0.0711%5 Aug →
dust213–80.1018%1 Aug →
anubis16–140.029%29 Jul →
dust28–130.1222%28 Jul →
cache14–160.0311%28 Jul →
anubis10–13-0.0513%28 Jul →
anubis8–13-0.0115%28 Jul →
dust213–40.0214%26 Jul →
cache13–11-0.0113%26 Jul →
mirage9–130.0115%26 Jul →
dust216–140.0716%26 Jul →
anubis5–13-0.0414%25 Jul →
inferno13–70.0019%25 Jul →
mirage11–130.0318%23 Jul →
dust210–130.0627%22 Jul →
mirage16–12-0.036%22 Jul →
dust213–110.0222%20 Jul →
cache13–70.0325%20 Jul →
mirage4–13-0.0321%19 Jul →
inferno4–13-0.0030%19 Jul →
dust23–13-0.1133%19 Jul →
dust26–13-0.0513%18 Jul →
cache13–20.019%16 Jul →
cache16–130.0117%14 Jul →
italy13–1-0.0110%7 Jul →
warden7–20.0911%7 Jul →
cache9–13-0.0316%7 Jul →
dust23–13-0.039%4 Jul →
overpass11–130.016%4 Jul →
dust213–100.0113%23 Jun →
dust211–13-0.0513%21 Jun →
mirage9–13-0.038%21 Jun →
inferno10–13-0.0223%16 Jun →
mirage13–10-0.0120%16 Jun →
inferno13–90.0813%14 Jun →
ancient13–50.004%14 Jun →
dust26–130.0812%14 Jun →
inferno10–130.0613%13 Jun →
mirage9–130.008%13 Jun →
mirage13–100.0311%5 Jun →
inferno13–30.037%2 Jun →
overpass13–8-0.0017%30 May →
mirage13–9-0.0427%30 May →
dust213–90.0023%26 May →
dust213–90.0319%26 May →
mirage11–13-0.0319%26 May →
mirage7–13-0.0221%22 May →
mirage7–13-0.0511%10 May →
dust26–13-0.0211%2 May →
mirage13–30.0612%1 May →
anubis13–110.0611%1 May →
overpass8–13-0.0213%1 May →
mirage13–60.0110%8 Apr →
ancient11–13-0.0516%8 Apr →
ancient2–13-0.1411%8 Apr →
dust213–8-0.0212%8 Apr →
anubis3–13-0.0117%8 Apr →
inferno13–9-0.0110%2 Apr →
mirage8–13-0.0610%2 Apr →
ancient6–130.0613%2 Apr →
mirage13–2-0.038%2 Apr →
anubis13–8-0.0224%2 Apr →
overpass10–13-0.0219%29 Mar →
inferno5–13-0.0524%16 Mar →
inferno16–130.0623%16 Mar →
mirage13–9-0.079%16 Mar →
dust211–130.0321%16 Mar →
anubis8–130.0417%7 Mar →

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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