Lirija

Lirija — CS2 Stats

KR76561198119356355[U:1:159090627]Steam profile ↗✓ No bans

2,332Tracked matches60%Win rate2020Tracked since
CSDB Rating5.7 SolidPositional Player
Premier CS Rating18,823Top 50% of 212,910 CSDB-tracked playersPurple band · top ~13.2% of ranked players (population est.)
FaceitLevel 7 · 1,316 ELOTop 42.3% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 2026 (8 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: 18,823 +6,477 5 Jan – 26 Oct · 3 days played
12,34618,823peak 18,8235 Jan26 Oct
19,414Peak Premier in tracked matches
1,316Highest Faceit ELO seen on CSDB
42Days played since 2025-12-29

Faceit ELO

  • At peak — 1,316
  • Next: Level 7 at 1,351 — 35 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3

Premier CS Rating

  • At peak — 18,823
  • Next: Pink band at 20,000 — 1,177 to go
  • Reached: Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGLirijaFACEITLevel 7 · 1,316 ELOSTANDINGTop 42.3% of rankedPREMIER18,823 · Purple bandPEAK ELO1,316csdb.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

Aim79
Positioning41
Utility18

0–100 skill scores via Leetify.

Recent form

STEADY52–41–7Last 10052%Win rateLLWWWWLLLL

Last 10 vs previous 10: −50pp win rate · −0.00 avg rating · −0.3pp headshot accuracy · −22ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 12%
  • Avg reaction 634ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 627ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 638ms

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 (+1.6 against its own average).

Aim7.9
Utility1.8
Positioning4.1
Opening Duels1.1
Clutch3.0

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

sh1ro

Plays most like sh1ro 84% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; lower utility contribution.

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

Positioning. Positioning trails aim by 37 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 642ms 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

Aim7.9
Positioning4.1
Utility1.8
Mechanics8.3
Opening Duels1.5
Win Impact8.3

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 rating-0.05−0.04
first ⅓ avg -0.00 → last ⅓ avg -0.05
Reaction time633ms−69ms
first ⅓ avg 702ms → last ⅓ avg 633ms
Headshot accuracy14.1%−2.8%
first ⅓ avg 16.9% → last ⅓ avg 14.1%

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

0.15Best match rating · 13–11 · nuke, 29 Aug →
38%Best headshot accuracy · 9–3 · eldorado, 22 Oct →
469msFastest reaction time · 9–7 · poseidon, 22 Oct →
13–0Biggest win · ancient, 18 Jul →

Across the last 100 tracked matches.

Highlights

10Longest win streak
L2Current streak
9–2In matches decided by ≤2 rounds
5Overtime games

Map breakdown

infernoBest map · 64% over 11dust2Weakest map · 26% over 19
MapGradePlayedRecordWin rateAvg rating
dust2D195–1426%-0.01
anubisB157–847%-0.03
ancientC146–843%-0.03
mirageB137–654%-0.03
infernoA117–464%-0.02
overpassB63–350%-0.02
cacheA53–260%-0.04
nuke—33–0100%0.03
vertigo—32–167%-0.05
eldorado—21–150%0.00
debris—21–150%-0.03
poseidon—22–0100%-0.09
fachwerk—11–0100%-0.00
boulder—11–0100%-0.04
shelter—11–0100%-0.02
office—11–0100%0.06
warden—11–0100%0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (26% over 19). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4,169Matches
49%Win rate
0.83Avg K/D
72.2ADR
38%Headshot %

Clutches & streaks

35%1v1 clutch win
18%1v2 clutch win
15Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage31850%0.9714.4
Ancient30748%0.9414.1
Dust230351%0.9414.2
Inferno14755%0.9714.7
Anubis5443%0.8813.2
Overpass5256%0.9714.8
Train2446%1.0213.2
Cache2143%0.9712.9

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.

14.5%Headshot accuracy
37.7%Accuracy (enemy spotted)
36.1%Spray accuracy
87.3%Counter-strafing
6.4°Preaim
642msReaction time
41.5%T opening success
30.3%CT opening success
0.17Enemies flashed / flash
1.9%Flash assists
8.76HE damage / grenade
2.49Flashes / 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 14.4693% — 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 0.1718 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 30.2829% — below the 40% mark we flag

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.

26% win rate across 19 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
anubis11–13-0.059%26 Oct →
anubis7–13-0.098%26 Oct →
mirage13–3-0.055%26 Oct →
cache13–10-0.0125%26 Oct →
anubis13–7-0.0212%25 Oct →
mirage13–9-0.0118%25 Oct →
ancient10–13-0.039%25 Oct →
ancient3–13-0.087%25 Oct →
ancient1–12-0.1021%25 Oct →
ancient9–13-0.0116%25 Oct →
cache13–10-0.049%25 Oct →
anubis13–10-0.0214%25 Oct →
anubis13–8-0.034%25 Oct →
anubis4–13-0.0726%24 Oct →
mirage13–10-0.0715%24 Oct →
inferno13–60.0011%24 Oct →
nuke13–9-0.0515%24 Oct →
nuke13–11-0.0312%23 Oct →
mirage13–7-0.0411%23 Oct →
ancient13–5-0.0517%23 Oct →
anubis5–13-0.0825%23 Oct →
inferno9–1-0.0319%22 Oct →
eldorado9–30.0538%22 Oct →
overpass9–6-0.0219%22 Oct →
eldorado8–8-0.0518%22 Oct →
debris9–0-0.0323%22 Oct →
vertigo9–6-0.0211%22 Oct →
poseidon9–7-0.075%22 Oct →
poseidon9–7-0.115%22 Oct →
inferno9–7-0.1414%22 Oct →
ancient6–13-0.094%12 Sept →
anubis6–13-0.0510%10 Sept →
ancient13–10-0.0213%6 Sept →
cache13–9-0.0218%5 Sept →
anubis13–80.0010%5 Sept →
dust216–19-0.0320%31 Aug →
nuke13–110.1524%29 Aug →
anubis10–130.0422%19 Aug →
dust213–50.0320%13 Aug →
ancient13–60.0124%9 Aug →
dust25–13-0.0329%9 Aug →
dust27–13-0.086%4 Aug →
anubis13–11-0.0511%4 Aug →
dust28–13-0.0117%25 Jul →
cache15–15-0.0717%25 Jul →
dust26–13-0.047%24 Jul →
debris5–9-0.0210%23 Jul →
vertigo4–9-0.145%23 Jul →
inferno8–80.0212%23 Jul →
inferno13–7-0.036%23 Jul →
cache10–13-0.065%21 Jul →
dust213–10-0.0713%20 Jul →
fachwerk13–6-0.008%18 Jul →
boulder13–11-0.0413%18 Jul →
shelter13–1-0.0215%18 Jul →
vertigo13–80.0129%18 Jul →
inferno13–30.007%18 Jul →
anubis13–11-0.0710%18 Jul →
dust213–7-0.063%18 Jul →
office13–70.0613%18 Jul →
ancient13–0-0.0038%18 Jul →
dust29–130.0023%18 Jul →
overpass6–00.020%18 Jul →
dust28–13-0.0624%16 Jul →
anubis5–13-0.0328%16 Jul →
mirage1–13-0.0533%16 Jul →
mirage13–11-0.0226%16 Jul →
dust210–13-0.0219%2 Jul →
overpass10–13-0.0810%28 Jun →
inferno7–13-0.0316%26 Jun →
inferno13–70.0520%25 Jun →
anubis13–16-0.0125%24 Jun →
mirage12–120.0317%11 Apr →
dust212–120.0525%11 Apr →
dust24–130.0116%20 Mar →
inferno9–13-0.0513%16 Mar →
inferno5–13-0.0619%15 Mar →
dust29–130.0216%15 Mar →
mirage2–13-0.0910%15 Mar →
mirage10–13-0.0329%13 Mar →
overpass5–13-0.0315%13 Mar →
ancient12–12-0.0410%13 Mar →
dust213–50.1321%27 Jan →
warden13–60.0412%24 Jan →
anubis13–50.0921%24 Jan →
mirage7–13-0.039%24 Jan →
ancient13–30.0420%11 Jan →
overpass13–100.0118%10 Jan →
mirage12–12-0.065%7 Jan →
dust213–9-0.0126%7 Jan →
dust23–13-0.0622%6 Jan →
dust211–130.0321%5 Jan →
overpass13–16-0.028%5 Jan →
mirage13–50.0219%5 Jan →
ancient16–13-0.0210%3 Jan →
inferno9–60.0719%31 Dec →
dust29–130.0916%31 Dec →
ancient7–130.0022%31 Dec →
ancient9–13-0.0114%29 Dec →
mirage13–7-0.0213%29 Dec →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.