ila

ila — CS2 Stats

IT76561199410018423[U:1:1449752695]Steam profile ↗✓ No bans

846Tracked matches55%Win rate2023Tracked since
1,999Hours in CS22Hrs last 2 wks
CSDB Rating6.3 SolidAll-Rounder
FaceitLevel 9 · 2,048 ELOTop 20.7% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Sep 2026 (61 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,048 → 2,048
+35Tracked matches · now 846
+1.6ppWin rate · 53.6% → 55.2%

Rating over time

Premier CS Rating: 20,567 -1,599 27 Aug – 29 May · 23 days played
20,56725,123peak 25,12327 Aug29 May
25,123Peak Premier in tracked matches
2,048Highest Faceit ELO seen on CSDB
55Days played since 2025-08-27

Faceit ELO

  • At peak — 2,048
  • Next: 2,500 ELO at 2,500 — 452 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-01
  • Level 9 first seen 2026-09-01

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.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=15,132), 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 9 medianLevel 10 medianvs Level 10
Headshot rate45.2%48.2%50.9%5.8% short
Shot accuracy5.2%13.2%13.7%8.5% short
Kill/death ratio0.971.071.090.12 short
Match win rate48.4%46.9%48.4%meets

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGilaFACEITLevel 9 · 2,048 ELOSTANDINGTop 20.7% of rankedPEAK ELO2,048csdb.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

Aim68
Positioning64
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY53–45–2Last 10053%Win rateWLWLWWLWWL

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · −8.3pp headshot accuracy · −79ms 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 0.03
  • Avg headshot accuracy 14%
  • Avg reaction 527ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 16%
  • Avg reaction 521ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 561ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim6.8
Utility6.1
Positioning6.4
Opening Duels6.4
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

s1mple

Plays most like s1mple 82% 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

T-side openings. Opening success drops from 59% on CT to 44% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 562ms 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

Aim6.8
Positioning6.4
Utility6.1
Mechanics5.6
Opening Duels5.3
Win Impact6.7

Composite 6.3/10 (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 rating0.02+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time556ms+2ms
first ⅓ avg 554ms → last ⅓ avg 556ms
Headshot accuracy19.4%+0.1%
first ⅓ avg 19.3% → last ⅓ avg 19.4%

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

0.13Best match rating · 13–10 · ancient, 17 Dec →
100%Best headshot accuracy · 4–1 · inferno, 29 Aug →
359msFastest reaction time · 13–3 · mirage, 29 Jan →
13–1Biggest win · ancient, 31 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
4–5In matches decided by ≤2 rounds
6Overtime games

Map breakdown

ancientBest map · 72% over 18mirageWeakest map · 40% over 15
MapGradePlayedRecordWin rateAvg rating
dust2B2914–1548%0.01
ancientS1813–572%0.03
mirageC156–940%-0.00
infernoS128–467%-0.00
nukeC104–640%0.00
overpassC52–340%0.01
anubis—32–167%0.03
office—22–0100%0.01
vertigo—20–20%0.07
ancient_night—21–150%0.04
train—10–10%-0.00
cache—11–0100%0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (40% over 15). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

47,859Lifetime kills
0.97K/D
2,453Matches
48.4%Match win rate · Top 50% of Level 9 players
45.2%Headshot %
5.2%Shot accuracy
7,208MVPs
1,604Hours (in match)
2,104Bombs planted
1,517Bombs defused

Most-used weapons

AK-4716,892
AWP3,081
MP92,195
MAC-101,690
Knife671

Lifetime map wins

5,105inferno
4,588dust2
1,923vertigo
1,124nuke
231train
156office
16aztec
14lake

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

Faceit stats

Combat

460Matches
54%Win rate
1.15Avg K/D
81.4ADR
43%Headshot %

Clutches & streaks

38%1v1 clutch win
26%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage11952%1.1616.4
Dust27353%1.1414.9
Inferno6656%1.1215.5
Anubis5446%1.1817.1
Ancient4657%1.1317.0
Vertigo3256%1.2816.8
Nuke2654%0.9413.7
Overpass1258%1.0115.4

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.

20.0%Headshot accuracy
33.4%Accuracy (enemy spotted)
38.5%Spray accuracy
75.3%Counter-strafing
10.5°Preaim
562msReaction time
43.5%T opening success
59.0%CT opening success
0.65Enemies flashed / flash
5.6%Flash assists
8.51HE damage / grenade
10.91Flashes / match

Recommended for you

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.

40% 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
ancient13–70.058%30 Oct →
dust29–130.0918%14 Oct →
dust213–7-0.0121%12 Oct →
dust21–8-0.036%9 Oct →
ancient13–90.0520%8 Oct →
dust213–40.1113%8 Oct →
mirage9–13-0.0220%5 Oct →
office13–30.0826%3 Oct →
dust213–6-0.0220%3 Oct →
nuke8–13-0.0413%9 Sept →
inferno5–20.0325%9 Sept →
vertigo12–120.0723%29 Jul →
nuke8–13-0.0238%23 Jul →
dust213–70.0117%12 Jul →
ancient13–110.1023%6 Jul →
nuke13–110.0326%21 Jun →
train10–13-0.0025%21 Jun →
ancient10–130.0320%18 Jun →
dust211–13-0.0317%29 May →
dust213–50.1133%26 May →
dust27–130.0514%9 May →
cache13–100.0415%2 May →
dust23–13-0.087%29 Mar →
inferno5–130.0215%28 Mar →
nuke13–7-0.0230%20 Mar →
anubis13–40.0924%12 Mar →
ancient13–40.0712%12 Mar →
dust213–90.1123%12 Mar →
dust28–13-0.0715%8 Mar →
mirage10–130.0120%5 Mar →
mirage6–130.0422%4 Mar →
dust29–130.0014%4 Mar →
ancient13–11-0.0320%13 Feb →
mirage12–160.0417%8 Feb →
inferno13–20.0733%8 Feb →
ancient8–13-0.0412%8 Feb →
inferno13–40.0322%7 Feb →
anubis15–15-0.0115%7 Feb →
office13–7-0.0515%30 Jan →
anubis13–60.0121%29 Jan →
mirage13–3-0.0527%29 Jan →
dust213–3-0.0319%29 Jan →
nuke13–40.0120%29 Jan →
dust213–100.0429%29 Jan →
inferno11–13-0.0018%29 Jan →
dust21–100.0227%29 Jan →
dust23–130.0738%28 Jan →
dust213–60.0421%26 Jan →
inferno13–10-0.0624%16 Jan →
mirage13–10-0.0415%16 Jan →
ancient9–13-0.0215%17 Dec →
ancient13–100.1317%17 Dec →
inferno13–9-0.0132%17 Dec →
mirage11–130.0121%29 Nov →
dust25–13-0.0413%12 Nov →
ancient13–16-0.0227%9 Nov →
dust26–130.0138%10 Oct →
vertigo7–130.0727%10 Oct →
nuke8–130.0232%10 Oct →
nuke13–60.0427%5 Oct →
ancient13–50.0119%5 Oct →
mirage13–4-0.029%5 Oct →
ancient11–13-0.0116%4 Oct →
mirage13–6-0.0235%4 Oct →
ancient13–60.0511%3 Oct →
overpass13–50.0522%3 Oct →
mirage9–3-0.0535%3 Oct →
dust213–7-0.038%2 Oct →
ancient13–100.0318%20 Sept →
inferno16–14-0.0123%20 Sept →
overpass9–130.0216%20 Sept →
dust213–8-0.0111%19 Sept →
mirage5–130.0618%17 Sept →
ancient13–100.0218%14 Sept →
dust213–9-0.0321%12 Sept →
ancient13–20.0821%12 Sept →
nuke9–130.0618%12 Sept →
dust213–30.1019%6 Sept →
inferno8–130.0217%6 Sept →
overpass13–60.0220%2 Sept →
dust23–13-0.078%1 Sept →
ancient_night13–20.0819%1 Sept →
inferno16–12-0.0218%1 Sept →
ancient_night12–160.0119%1 Sept →
dust213–7-0.0113%1 Sept →
mirage13–80.0216%1 Sept →
overpass10–13-0.077%1 Sept →
inferno6–13-0.0225%31 Aug →
ancient13–10.0812%31 Aug →
nuke10–130.0214%30 Aug →
dust211–130.0319%29 Aug →
mirage10–13-0.0113%29 Aug →
inferno4–1-0.09100%29 Aug →
ancient13–100.0514%29 Aug →
nuke6–13-0.0842%28 Aug →
overpass8–130.0516%28 Aug →
mirage9–130.0411%27 Aug →
mirage3–13-0.0414%27 Aug →
dust210–13-0.0010%27 Aug →
dust210–13-0.0419%27 Aug →

Match data via Leetify.

Recent teammates

Milestones

2K ELO500 Matches
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.