Lycarda

Lycarda — CS2 Stats

76561198986210840[U:1:1025945112]Steam profile ↗✓ No bans

2,900Tracked matches48%Win rate2024Tracked since
CSDB Rating3.8 LearningPositional Player
Premier CS Rating10,281Blue band · top ~53.4% of ranked players (population est.)
FaceitLevel 3 · 935 ELOTop 90.6% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Oct 2026 (7 days ago). 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: 10,281 +1,198 3 Sept – 5 Oct · 5 days played
9,08310,281peak 10,2813 Sept5 Oct
Faceit ELO: 935 +0 3 Sept – 17 Sept · 2 observations
935935peak 9353 Sept17 Sept
10,507Peak Premier in tracked matches
935Highest Faceit ELO seen on CSDB
17Days played since 2026-09-03

Faceit ELO

  • At peak — 935
  • Next: Level 5 at 1,051 — 116 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-09-03
  • Level 3 first seen 2026-09-03

Premier CS Rating

  • At peak — 10,281
  • +1,198 over 30 days · improving
  • Next: Purple band at 15,000 — 4,719 to go
  • Reached: Blue band · Light Blue band
  • Light Blue band first seen 2026-09-03

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.GGLycardaFACEITLevel 3 · 935 ELOSTANDINGTop 90.6% of rankedPREMIER10,281 · Blue bandPEAK ELO935csdb.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

Aim40
Positioning46
Utility32

0–100 skill scores via Leetify.

Recent form

COLD43–54–3Last 10043%Win rateLWLLLLLTLW

Last 10 vs previous 10: −50pp win rate · −0.01 avg rating · −2.7pp headshot accuracy · +94ms reaction

Win rate down 50pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 9%
  • Avg reaction 719ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 8%
  • Avg reaction 642ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 9%
  • Avg reaction 595ms

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 (+1.8 against its own average).

Aim4.0
Utility3.2
Positioning4.6
Opening Duels0.8
Clutch2.4

Limited 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 81% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 600ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim4.0
Positioning4.6
Utility3.2
Mechanics4.2
Opening Duels3.3
Win Impact4.4

Composite 3.8/10 (Learning), 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 rating-0.05+0.00
first ⅓ avg -0.05 → last ⅓ avg -0.05
Reaction time605ms−38ms
first ⅓ avg 643ms → last ⅓ avg 605ms
Headshot accuracy9.1%−1.7%
first ⅓ avg 10.8% → last ⅓ avg 9.1%

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

0.03Best match rating · 16–14 · anubis, 24 Sept →
28%Best headshot accuracy · 5–13 · dust2, 4 Oct →
406msFastest reaction time · 13–9 · inferno, 3 Oct →
13–3Biggest win · cache, 2 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
10–11In matches decided by ≤2 rounds
13Overtime games

Map breakdown

anubisBest map · 62% over 13mirageWeakest map · 27% over 15
MapGradePlayedRecordWin rateAvg rating
infernoC177–1041%-0.04
mirageD154–1127%-0.06
ancientB136–746%-0.05
anubisA138–562%-0.03
dust2D124–833%-0.07
cacheA116–555%-0.06
nukeC73–443%-0.07
vertigoC73–443%-0.05
train—31–233%-0.08
overpass—11–0100%-0.07
fachwerk—10–10%-0.09

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (27% over 15). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

285Matches
49%Win rate
0.58Avg K/D
52.8ADR
30%Headshot %

Clutches & streaks

32%1v1 clutch win
5%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient5657%0.579.6
Inferno4860%0.659.9
Mirage4439%0.538.9
Anubis4255%0.619.7
Dust23826%0.508.5
Nuke3139%0.609.4
Cache1275%0.5911.0
Train875%0.639.5

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.

8.7%Headshot accuracy
33.4%Accuracy (enemy spotted)
37.3%Spray accuracy
69.0%Counter-strafing
11.6°Preaim
600msReaction time
46.4%T opening success
40.3%CT opening success
0.41Enemies flashed / flash
1.3%Flash assists
7.52HE damage / grenade
3.21Flashes / 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 8.714% — below the 15% mark we flag

    Aim Training →
  2. 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 0.4126 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Mirage

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

27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient12–16-0.076%11 Oct →
cache13–10-0.0510%11 Oct →
inferno11–13-0.049%11 Oct →
mirage2–13-0.1013%8 Oct →
inferno11–13-0.026%8 Oct →
mirage14–16-0.1011%7 Oct →
cache7–13-0.0610%6 Oct →
mirage15–15-0.069%5 Oct →
cache9–13-0.063%5 Oct →
anubis13–4-0.033%5 Oct →
mirage13–9-0.0916%5 Oct →
dust25–13-0.0928%4 Oct →
nuke13–10-0.073%4 Oct →
inferno13–7-0.007%4 Oct →
inferno13–9-0.009%3 Oct →
anubis3–13-0.0417%3 Oct →
nuke13–9-0.038%3 Oct →
train13–11-0.047%3 Oct →
inferno6–13-0.076%3 Oct →
vertigo13–7-0.065%3 Oct →
mirage5–13-0.039%3 Oct →
dust213–8-0.047%3 Oct →
ancient13–8-0.052%3 Oct →
dust213–10-0.0511%3 Oct →
anubis13–11-0.015%3 Oct →
cache22–20-0.089%3 Oct →
anubis6–13-0.0415%3 Oct →
mirage11–13-0.099%2 Oct →
inferno4–13-0.050%2 Oct →
ancient7–13-0.0613%2 Oct →
mirage13–5-0.0211%2 Oct →
anubis13–10-0.0711%2 Oct →
cache13–7-0.039%2 Oct →
overpass13–7-0.077%2 Oct →
fachwerk11–13-0.090%2 Oct →
dust22–13-0.0113%2 Oct →
cache13–3-0.0615%2 Oct →
vertigo13–10-0.0513%2 Oct →
train9–13-0.116%1 Oct →
ancient13–4-0.0111%1 Oct →
cache13–11-0.090%1 Oct →
vertigo9–13-0.094%1 Oct →
dust21–13-0.1111%1 Oct →
mirage12–12-0.064%1 Oct →
ancient13–10-0.044%1 Oct →
anubis5–13-0.076%1 Oct →
vertigo9–13-0.0617%27 Sept →
dust213–9-0.0511%27 Sept →
cache8–13-0.0711%27 Sept →
ancient5–13-0.033%27 Sept →
inferno13–7-0.0511%27 Sept →
anubis16–14-0.046%27 Sept →
inferno19–16-0.0311%26 Sept →
anubis13–11-0.075%26 Sept →
inferno11–13-0.0611%26 Sept →
train11–13-0.089%25 Sept →
vertigo11–13-0.0510%25 Sept →
vertigo9–0-0.0112%25 Sept →
anubis16–14-0.027%25 Sept →
inferno13–5-0.023%25 Sept →
dust22–13-0.0712%25 Sept →
ancient13–7-0.0314%25 Sept →
mirage13–4-0.0611%25 Sept →
ancient11–13-0.072%25 Sept →
dust29–13-0.066%24 Sept →
anubis9–13-0.086%24 Sept →
vertigo9–13-0.059%24 Sept →
mirage8–13-0.024%24 Sept →
mirage16–13-0.0412%24 Sept →
cache5–13-0.1025%24 Sept →
nuke6–13-0.0611%24 Sept →
anubis16–140.038%24 Sept →
inferno11–13-0.038%24 Sept →
anubis3–13-0.005%22 Sept →
mirage6–13-0.0710%22 Sept →
anubis13–90.0011%22 Sept →
inferno7–13-0.1015%22 Sept →
cache8–13-0.0421%22 Sept →
nuke8–13-0.076%22 Sept →
inferno12–16-0.057%22 Sept →
inferno9–13-0.0718%22 Sept →
nuke3–13-0.125%22 Sept →
dust213–10-0.045%22 Sept →
ancient8–13-0.0711%22 Sept →
mirage7–13-0.106%22 Sept →
dust24–13-0.1314%21 Sept →
inferno13–8-0.0511%21 Sept →
mirage15–15-0.0212%21 Sept →
inferno13–10-0.0211%21 Sept →
dust211–13-0.089%21 Sept →
cache16–14-0.0211%21 Sept →
ancient3–13-0.0618%21 Sept →
inferno9–13-0.0611%21 Sept →
ancient6–13-0.0412%21 Sept →
nuke9–13-0.059%20 Sept →
nuke13–7-0.0611%20 Sept →
ancient13–11-0.1115%20 Sept →
ancient16–130.007%20 Sept →
mirage1–13-0.1013%19 Sept →
dust210–13-0.056%19 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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