lily

lily — CS2 Stats

FI76561198079625930[U:1:119360202]Steam profile ↗✓ No bans

2,538Tracked matches61%Win rate2020Tracked since
2,357Hours in CS
CSDB Rating5.2 DevelopingSupport
Premier CS Rating10,536Blue band · top ~52.1% of ranked players (population est.)
FaceitLevel 5 · 1,324 ELOTop 67.6% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (47 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 2,538 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 10,536 -3,865 3 Jul – 18 Sept · 4 days played
10,53614,401peak 14,4013 Jul18 Sept
Faceit ELO: 1,324 +0 10 Sept – 18 Sept · 2 observations
1,3241,324peak 1,32410 Sept18 Sept
14,636Peak Premier in tracked matches
1,324Highest Faceit ELO seen on CSDB
33Days played since 2026-05-29

Faceit ELO

  • At peak — 1,324
  • Next: Level 7 at 1,351 — 27 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-09-10
  • Level 5 first seen 2026-09-10

Premier CS Rating

  • 3,865 below peak (14,401)
  • 0 over 30 days · steady
  • -3,865 over 90 days
  • Next: Purple band at 15,000 — 4,464 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-10
  • Light Blue band first seen 2026-09-10

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 5 among CSDB-tracked players (n=14,283), 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 5 medianLevel 6 medianvs Level 6
Headshot rate47.8%43.8%44.8%above
Shot accuracy12.9%12.0%12.4%above
Kill/death ratio0.921.021.030.11 short
Match win rate43.4%44.7%45.2%1.8% short

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGlilyFACEITLevel 5 · 1,324 ELOSTANDINGTop 67.6% of rankedPREMIER10,536 · Blue bandPEAK ELO1,324csdb.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

Aim69
Positioning46
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY49–44–7Last 10049%Win rateWLLLWLWWLW

Last 10 vs previous 10: −10pp win rate · −0.03 avg rating · +1.7pp headshot accuracy · +63ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 612ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 649ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 617ms

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: Support — Utility contribution stands above the rest of this profile (+1.1 against its own average).

Aim6.9
Utility5.2
Positioning4.6
Opening Duels2.6
Clutch4.0

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

Twistzz

Plays most like Twistzz 93% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

Aim6.9
Positioning4.6
Utility5.2
Mechanics4.6
Opening Duels1.8
Win Impact8.6

Composite 5.2/10 (Developing), 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 rating0.01+0.04
first ⅓ avg -0.02 → last ⅓ avg 0.01
Reaction time639ms−20ms
first ⅓ avg 659ms → last ⅓ avg 639ms
Headshot accuracy19.3%+2.6%
first ⅓ avg 16.7% → last ⅓ avg 19.3%

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

0.21Best match rating · 9–5 · eldorado, 17 Jul →
36%Best headshot accuracy · 11–13 · mirage, 22 Aug →
406msFastest reaction time · 13–1 · vertigo, 1 Aug →
13–0Biggest win · nuke, 17 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
11–7In matches decided by ≤2 rounds
12Overtime games

Map breakdown

vertigoBest map · 80% over 5infernoWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
anubisB209–1145%-0.01
mirageB2010–1050%-0.01
cacheB179–853%0.01
dust2B115–645%-0.03
infernoC83–538%-0.01
nukeA85–363%0.02
vertigoS54–180%0.04
ancient—31–233%0.01
overpass—21–150%-0.01
poseidon—20–20%-0.01
train—10–10%-0.02
debris—11–0100%0.04
eldorado—11–0100%0.21
boulder—10–10%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

94,374Lifetime kills
0.92K/D
5,642Matches
43.4%Match win rate
47.8%Headshot % · Top 50% of Level 5 players
12.9%Shot accuracy · Top 50% of Level 5 players
10,923MVPs
2,357Hours (in match)
7,117Bombs planted
1,529Bombs defused

Most-used weapons

AK-4732,489
AWP8,216
FAMAS2,079
MP91,586
P2501,431

Lifetime map wins

11,863inferno
3,758dust2
3,194nuke
1,474train
1,069vertigo
159office
98cbble
17ar_shoots

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

Faceit stats

Combat

1,021Matches
49%Win rate
0.99Avg K/D
71.1ADR
49%Headshot %

Clutches & streaks

40%1v1 clutch win
21%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage24550%0.9814.2
Ancient14355%1.0215.1
Anubis14051%0.9414.1
Inferno12339%1.0215.0
Nuke10850%0.9915.1
Dust29845%0.8913.1
Cache3037%0.8914.3
Overpass2673%1.1216.6

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.

19.2%Headshot accuracy
38.6%Accuracy (enemy spotted)
45.4%Spray accuracy
70.7%Counter-strafing
10.9°Preaim
638msReaction time
29.7%T opening success
44.1%CT opening success
0.51Enemies flashed / flash
6.6%Flash assists
8.29HE damage / grenade
9.04Flashes / 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 29.7417% — below the 40% mark we flag

Spend your practice time on Inferno

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
vertigo13–11-0.0315%22 Aug →
anubis6–13-0.0210%22 Aug →
mirage11–13-0.0136%22 Aug →
inferno7–130.0222%22 Aug →
cache13–30.1115%22 Aug →
nuke4–13-0.0319%22 Aug →
dust213–4-0.089%22 Aug →
dust213–8-0.0217%21 Aug →
anubis0–13-0.0425%20 Aug →
inferno13–11-0.0326%20 Aug →
dust29–13-0.0718%20 Aug →
mirage16–14-0.066%20 Aug →
anubis13–30.0710%17 Aug →
cache6–130.0331%17 Aug →
overpass13–80.0222%15 Aug →
anubis10–130.0419%13 Aug →
mirage2–13-0.0619%7 Aug →
mirage13–10.1022%6 Aug →
cache13–100.0015%6 Aug →
nuke13–60.0916%5 Aug →
mirage15–150.0120%5 Aug →
dust26–13-0.0414%5 Aug →
mirage13–110.1525%3 Aug →
inferno13–9-0.0016%3 Aug →
train12–12-0.0230%2 Aug →
cache13–8-0.0216%1 Aug →
nuke13–40.1126%1 Aug →
vertigo13–10.0822%1 Aug →
cache8–13-0.0020%1 Aug →
vertigo13–50.0517%30 Jul →
mirage13–9-0.0315%30 Jul →
vertigo13–40.0619%29 Jul →
vertigo8–130.0626%29 Jul →
anubis4–130.0011%29 Jul →
inferno9–130.0116%29 Jul →
cache13–70.0913%29 Jul →
cache10–13-0.0121%29 Jul →
ancient13–16-0.0111%27 Jul →
dust210–13-0.067%27 Jul →
cache13–90.0417%25 Jul →
ancient13–40.0616%24 Jul →
anubis4–130.019%24 Jul →
anubis16–13-0.0112%24 Jul →
mirage8–13-0.0424%24 Jul →
mirage4–13-0.0215%23 Jul →
dust28–13-0.0617%23 Jul →
anubis5–13-0.0217%21 Jul →
nuke11–13-0.0017%21 Jul →
mirage8–13-0.1218%21 Jul →
anubis15–150.0021%21 Jul →
mirage0–13-0.010%21 Jul →
anubis16–130.069%20 Jul →
mirage6–13-0.0523%19 Jul →
poseidon6–9-0.0224%19 Jul →
cache4–130.0016%19 Jul →
nuke13–90.0314%17 Jul →
mirage14–16-0.0014%17 Jul →
nuke8–8-0.034%17 Jul →
inferno5–9-0.1114%17 Jul →
debris9–70.0414%17 Jul →
poseidon8–80.0115%17 Jul →
eldorado9–50.2114%17 Jul →
nuke13–0-0.010%17 Jul →
dust213–90.0917%17 Jul →
mirage13–60.0319%16 Jul →
mirage8–130.0724%16 Jul →
boulder12–12-0.0219%16 Jul →
ancient9–13-0.0213%16 Jul →
inferno7–13-0.0215%15 Jul →
anubis10–13-0.089%15 Jul →
dust213–60.0135%15 Jul →
mirage13–9-0.0413%15 Jul →
anubis9–13-0.0424%4 Jul →
mirage13–9-0.0011%4 Jul →
anubis2–13-0.0818%4 Jul →
cache16–14-0.0122%4 Jul →
anubis14–16-0.0619%3 Jul →
nuke13–11-0.0122%3 Jul →
overpass5–13-0.0321%3 Jul →
cache8–13-0.0412%3 Jul →
anubis13–30.028%3 Jul →
dust211–13-0.040%3 Jul →
mirage13–11-0.0921%3 Jul →
inferno13–6-0.0019%28 Jun →
dust213–11-0.0518%27 Jun →
cache13–40.0218%10 Jun →
anubis13–11-0.0510%9 Jun →
cache12–12-0.0016%31 May →
anubis16–12-0.0014%31 May →
cache9–13-0.0118%30 May →
mirage16–12-0.0323%30 May →
inferno11–130.0422%30 May →
anubis16–140.0120%30 May →
cache11–13-0.0422%30 May →
mirage13–40.0215%29 May →
cache13–7-0.0213%29 May →
dust28–13-0.0616%29 May →
anubis13–9-0.023%29 May →
cache13–90.0324%29 May →
anubis13–7-0.0018%29 May →

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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