Llyria

Llyria — CS2 Stats

DE76561198326635687[U:1:366369959]Steam profile ↗✓ No bans

2,450Tracked matches59%Win rate2021Tracked since
CSDB Rating5.8 SolidClutch Specialist
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

Performance scores

Aim63
Positioning48
Utility49

0–100 skill scores via Leetify.

Recent form

HOT51–39–10Last 10051%Win rateWLWWLLWWWW

Last 10 vs previous 10: +10pp win rate · +0.04 avg rating · +6.5pp headshot accuracy · +64ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 638ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 651ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 619ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.5 against its own average).

Aim6.3
Utility4.9
Positioning4.8
Opening Duels2.5
Clutch6.0

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 89% 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. 627ms 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

Aim6.3
Positioning4.8
Utility4.9
Mechanics6.7
Opening Duels3.9
Win Impact7.9

Composite 5.8/10 (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 rating-0.02−0.03
first ⅓ avg 0.01 → last ⅓ avg -0.02
Reaction time620ms−18ms
first ⅓ avg 638ms → last ⅓ avg 620ms
Headshot accuracy12.8%−2.3%
first ⅓ avg 15.1% → last ⅓ avg 12.8%

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

0.20Best match rating · 9–1 · inferno, 14 Sept →
47%Best headshot accuracy · 8–8 · inferno, 14 Sept →
484msFastest reaction time · 13–1 · train, 24 Sept →
13–1Biggest win · inferno, 9 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
8–4In matches decided by ≤2 rounds
1Overtime games

Map breakdown

boulderBest map · 80% over 5dust2Weakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
dust2D123–925%-0.01
overpassA117–464%0.03
fachwerkD103–730%-0.01
infernoC94–544%0.01
anubisC83–538%-0.02
mirageA85–363%-0.03
vertigoB84–450%0.01
nukeS75–271%-0.04
ancientD62–433%-0.01
boulderS54–180%0.02
italy—43–175%-0.03
shelter—43–175%0.05
cache—32–167%-0.01
office—31–233%-0.02
train—22–0100%0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

8Matches
25%Win rate
0.76Avg K/D
61.5ADR
36%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Nuke333%0.9215.3
Ancient20%0.7613.5
Mirage250%0.7310.5
Dust210%0.356.0

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.

12.9%Headshot accuracy
37.5%Accuracy (enemy spotted)
37.5%Spray accuracy
80.0%Counter-strafing
10.4°Preaim
627msReaction time
44.4%T opening success
47.1%CT opening success
0.40Enemies flashed / flash
7.2%Flash assists
7.51HE damage / grenade
8.64Flashes / 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 12.8789% — 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 0.4024 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Dust 2

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

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–10-0.0123%10 Oct →
dust213–16-0.0212%10 Oct →
italy13–6-0.0316%10 Oct →
inferno13–10.1116%9 Oct →
ancient7–130.0227%9 Oct →
dust24–13-0.0518%9 Oct →
dust213–5-0.0123%8 Oct →
anubis13–7-0.065%8 Oct →
overpass13–9-0.0414%8 Oct →
shelter13–50.0420%7 Oct →
ancient7–2-0.047%7 Oct →
inferno9–7-0.0211%5 Oct →
mirage13–10-0.0510%4 Oct →
ancient12–12-0.028%3 Oct →
inferno2–13-0.0913%3 Oct →
overpass13–3-0.048%3 Oct →
cache13–30.0214%3 Oct →
ancient13–5-0.0616%3 Oct →
mirage5–13-0.0611%2 Oct →
fachwerk10–13-0.0511%30 Sept →
anubis8–13-0.0011%30 Sept →
mirage13–90.0616%28 Sept →
dust25–130.0013%28 Sept →
anubis11–13-0.0411%27 Sept →
cache11–13-0.036%27 Sept →
inferno11–13-0.0015%27 Sept →
nuke13–10-0.068%26 Sept →
mirage8–3-0.0415%26 Sept →
dust28–13-0.053%26 Sept →
mirage13–100.0011%26 Sept →
nuke13–10-0.0411%26 Sept →
overpass13–9-0.0313%25 Sept →
inferno13–11-0.058%25 Sept →
train13–10.0816%24 Sept →
dust29–13-0.0420%24 Sept →
office13–10-0.0511%23 Sept →
vertigo5–130.0515%22 Sept →
overpass13–80.0512%22 Sept →
dust213–90.0318%22 Sept →
anubis13–60.0217%21 Sept →
boulder3–13-0.0617%21 Sept →
fachwerk3–13-0.048%21 Sept →
mirage9–13-0.0513%21 Sept →
train13–11-0.0423%21 Sept →
dust29–13-0.0335%17 Sept →
vertigo13–110.1022%17 Sept →
fachwerk10–130.0017%16 Sept →
vertigo12–120.0419%16 Sept →
dust29–13-0.0227%16 Sept →
fachwerk7–13-0.0235%15 Sept →
nuke7–13-0.0623%15 Sept →
nuke5–9-0.0312%14 Sept →
inferno8–8-0.0147%14 Sept →
inferno9–10.2029%14 Sept →
mirage13–6-0.0119%13 Sept →
fachwerk13–10-0.0116%13 Sept →
office12–12-0.0238%12 Sept →
fachwerk13–5-0.0432%12 Sept →
overpass13–80.0821%12 Sept →
dust210–130.0218%12 Sept →
overpass8–13-0.0215%11 Sept →
anubis12–12-0.0419%7 Sept →
boulder13–20.1311%7 Sept →
nuke13–7-0.0117%7 Sept →
anubis12–12-0.0219%7 Sept →
italy13–11-0.0815%6 Sept →
vertigo13–7-0.039%6 Sept →
cache13–8-0.0219%6 Sept →
vertigo12–12-0.059%6 Sept →
office12–120.0213%5 Sept →
fachwerk13–40.0710%5 Sept →
boulder13–110.0115%5 Sept →
ancient12–12-0.0119%5 Sept →
anubis13–30.0514%5 Sept →
overpass11–130.0525%5 Sept →
shelter13–100.0820%5 Sept →
vertigo13–60.0615%5 Sept →
fachwerk7–13-0.0423%4 Sept →
fachwerk10–130.0117%4 Sept →
overpass12–120.0715%4 Sept →
vertigo10–13-0.0212%4 Sept →
italy13–10.0312%4 Sept →
overpass6–130.026%4 Sept →
overpass13–40.1026%2 Sept →
anubis10–13-0.1016%2 Sept →
dust213–110.0111%2 Sept →
boulder13–1-0.0213%2 Sept →
dust27–130.0012%1 Sept →
inferno3–9-0.1014%1 Sept →
fachwerk4–130.088%31 Aug →
shelter7–130.0315%31 Aug →
vertigo13–11-0.046%31 Aug →
ancient6–130.0213%31 Aug →
overpass13–40.0918%30 Aug →
shelter13–90.0719%30 Aug →
boulder13–80.0218%30 Aug →
italy10–13-0.0610%27 Aug →
inferno8–130.0415%27 Aug →
mirage5–13-0.0825%27 Aug →
nuke7–4-0.0615%27 Aug →

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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