lia

lia — CS2 Stats

76561199031139938[U:1:1070874210]Steam profile ↗✓ No bans

834Tracked matches56%Win rate2020Tracked since
CSDB Rating5.2 DevelopingPositional Player
FaceitLevel 3 · 880 ELOTop 90.6% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Sep 2026 (54 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 880 → 880
+2Tracked matches · now 834
−3.7ppWin rate · 59.3% → 55.6%

Rating over time

Premier CS Rating: 18,811 +1,112 18 Jan – 7 Jun · 17 days played
17,69919,999peak 19,99918 Jan7 Jun
19,999Peak Premier in tracked matches
880Highest Faceit ELO seen on CSDB
54Days played since 2026-01-18

Faceit ELO

  • At peak — 880
  • Next: Level 4 at 901 — 21 to go
  • Reached: Level 3 · Level 2
  • Level 3 first seen 2026-09-14
  • Level 2 first seen 2026-09-14

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.GGliaFACEITLevel 3 · 880 ELOSTANDINGTop 90.6% of rankedPEAK ELO880csdb.gg/stats

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Performance scores

Aim65
Positioning55
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY51–42–7Last 10051%Win rateLTWWWLWLWL

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · −1.9pp headshot accuracy · −12ms 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

  • 3–1–1 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 578ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 642ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 647ms

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 (+1.3 against its own average).

Aim6.5
Utility5.3
Positioning5.5
Opening Duels2.5
Clutch3.6

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 87% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 638ms 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

Aim6.5
Positioning5.5
Utility5.3
Mechanics6.9
Opening Duels2.4
Win Impact6.9

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 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 time638ms+68ms
first ⅓ avg 569ms → last ⅓ avg 638ms
Headshot accuracy18.8%+0.4%
first ⅓ avg 18.4% → last ⅓ avg 18.8%

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

0.34Best match rating · 9–0 · vertigo, 20 Jan →
39%Best headshot accuracy · 13–1 · mirage, 8 Jun →
344msFastest reaction time · 9–1 · inferno, 19 Jan →
13–1Biggest win · mirage, 8 Jun →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

ancientBest map · 67% over 15nukeWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
mirageC2611–1542%-0.02
infernoB2111–1052%-0.00
ancientS1510–567%-0.00
dust2A116–555%0.01
nukeD93–633%0.01
cacheS64–267%-0.03
overpass—43–175%-0.05
vertigo—32–167%0.09
anubis—10–10%-0.06
sanctum—10–10%0.02
warden—10–10%-0.06
poseidon—10–10%-0.22
office—11–0100%-0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

37Matches
51%Win rate
0.93Avg K/D
68.8ADR
43%Headshot %

Clutches & streaks

38%1v1 clutch win
21%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1567%0.9713.5
Ancient650%0.7913.5
Dust2540%0.9112.6
Overpass475%1.0814.3
Nuke333%0.719.7
Inferno20%0.8115.5
Anubis10%1.5021.0
Vertigo10%1.0015.0

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.

18.9%Headshot accuracy
32.9%Accuracy (enemy spotted)
36.8%Spray accuracy
81.2%Counter-strafing
9.8°Preaim
638msReaction time
33.1%T opening success
45.9%CT opening success
0.51Enemies flashed / flash
5.4%Flash assists
6.77HE damage / grenade
11.57Flashes / 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

    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 33.1026% — below the 40% mark we flag

Spend your practice time on Nuke

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage5–13-0.0810%2 Nov →
cache12–12-0.0319%2 Nov →
dust213–7-0.0222%27 Aug →
dust213–30.0724%27 Aug →
cache13–10-0.0233%17 Aug →
ancient11–13-0.045%16 Aug →
cache13–3-0.0127%19 Jul →
mirage5–13-0.1010%1 Jul →
overpass9–70.0617%26 Jun →
mirage4–13-0.0714%21 Jun →
mirage10–3-0.0424%20 Jun →
ancient13–11-0.0310%17 Jun →
mirage8–13-0.0518%11 Jun →
mirage13–10.0639%8 Jun →
overpass13–10-0.0814%7 Jun →
mirage11–13-0.0422%6 Jun →
ancient13–10-0.0226%5 Jun →
mirage10–13-0.0712%5 Jun →
nuke9–60.1116%26 May →
ancient10–13-0.0718%24 May →
nuke6–9-0.1315%24 May →
anubis5–13-0.0623%20 May →
ancient10–130.0220%19 May →
dust213–100.0536%19 May →
cache13–9-0.0535%16 May →
mirage13–7-0.0120%12 May →
dust212–12-0.0024%8 May →
inferno13–11-0.0114%4 May →
mirage13–20.0310%4 May →
cache13–80.026%29 Apr →
cache12–12-0.0910%29 Apr →
dust25–13-0.0511%8 Apr →
mirage7–13-0.0418%7 Apr →
mirage12–12-0.049%21 Mar →
inferno13–11-0.0112%4 Mar →
mirage13–20.0630%3 Mar →
ancient5–130.0315%28 Feb →
mirage13–7-0.040%24 Feb →
inferno4–13-0.063%24 Feb →
mirage13–8-0.0417%23 Feb →
inferno9–130.0020%23 Feb →
mirage8–13-0.0219%19 Feb →
ancient16–140.0316%18 Feb →
inferno8–13-0.0214%18 Feb →
vertigo13–8-0.079%13 Feb →
mirage4–13-0.0019%13 Feb →
ancient13–40.0310%10 Feb →
inferno11–13-0.0425%9 Feb →
inferno13–100.0811%6 Feb →
nuke11–13-0.0513%5 Feb →
vertigo12–120.0012%5 Feb →
overpass13–9-0.0115%4 Feb →
mirage13–10-0.0122%4 Feb →
sanctum6–90.0211%3 Feb →
dust216–140.0124%2 Feb →
ancient13–7-0.0019%2 Feb →
inferno13–9-0.0226%2 Feb →
mirage13–80.0016%2 Feb →
dust210–130.0215%2 Feb →
mirage14–16-0.0413%2 Feb →
inferno8–13-0.058%31 Jan →
ancient11–13-0.0115%31 Jan →
nuke6–13-0.0216%31 Jan →
mirage2–13-0.0620%31 Jan →
warden8–13-0.0615%31 Jan →
inferno13–9-0.037%31 Jan →
nuke13–60.0221%30 Jan →
inferno1–13-0.0613%29 Jan →
mirage4–13-0.0320%28 Jan →
ancient13–10-0.0016%27 Jan →
mirage13–70.0315%27 Jan →
nuke15–15-0.0420%27 Jan →
ancient13–110.0127%25 Jan →
inferno9–60.0619%25 Jan →
mirage2–13-0.0521%24 Jan →
inferno13–11-0.0120%24 Jan →
poseidon3–9-0.2221%24 Jan →
ancient13–50.038%24 Jan →
inferno7–130.0418%23 Jan →
dust213–40.0616%21 Jan →
office13–7-0.033%21 Jan →
dust213–50.0633%21 Jan →
nuke11–13-0.0220%21 Jan →
dust27–13-0.0422%21 Jan →
nuke9–10.3326%20 Jan →
inferno5–9-0.099%20 Jan →
inferno9–50.1013%20 Jan →
vertigo9–00.3431%20 Jan →
inferno8–8-0.054%20 Jan →
inferno9–10.1812%19 Jan →
nuke4–9-0.107%19 Jan →
overpass0–9-0.1713%19 Jan →
inferno4–9-0.0817%19 Jan →
inferno9–10.079%19 Jan →
mirage13–6-0.0237%19 Jan →
ancient13–70.0624%19 Jan →
mirage9–130.0619%19 Jan →
dust24–13-0.0316%18 Jan →
inferno13–9-0.0525%18 Jan →
ancient13–4-0.0532%18 Jan →

Match data via Leetify.

Recent teammates

Milestones

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

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