Lilium bulbiferum

Lilium bulbiferum — CS2 Stats

FI76561198410960344[U:1:450694616]Steam profile ↗✓ No bans

882Tracked matches57%Win rate2020Tracked since
CSDB Rating4.8 DevelopingClutch Specialist
Premier CS Rating10,226Blue band · top ~53.7% of ranked players (population est.)
WingmanSilver IV
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (2 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: 10,226 -2,280 22 Sept – 3 Nov · 22 days played
9,49013,834peak 13,83422 Sept3 Nov
Faceit ELO: 1,036 +0 22 Sept – 1 Nov · 3 observations
1,0361,036peak 1,03622 Sept1 Nov
13,834Peak Premier in tracked matches
1,036Highest Faceit ELO seen on CSDB
19Days played since 2026-09-22

Faceit ELO

  • At peak — 1,036
  • 0 over 30 days · steady
  • Next: Level 5 at 1,051 — 15 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-09-22
  • Level 3 first seen 2026-09-22

Premier CS Rating

  • 3,608 below peak (13,834)
  • -1,157 over 30 days · declining
  • Next: Purple band at 15,000 — 4,774 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-22
  • Light Blue band first seen 2026-09-22

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.GGLilium bulbiferumPREMIER10,226 · Blue band30 DAYS0 ELOPEAK ELO1,036csdb.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

Aim57
Positioning41
Utility36

0–100 skill scores via Leetify.

Recent form

COLD43–54–3Last 10043%Win rateLLLWLWLLLW

Last 10 vs previous 10: −30pp win rate · +0.01 avg rating · +1.1pp headshot accuracy · −17ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 569ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 598ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 606ms

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 (+2.2 against its own average).

Aim5.7
Utility3.6
Positioning4.1
Opening Duels0.5
Clutch5.6

Strong CT-side openerLimited 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

iM

Plays most like iM 93% 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. 611ms 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

Aim5.7
Positioning4.1
Utility3.6
Mechanics7.3
Opening Duels1.2
Win Impact7.2

Composite 4.8/10 (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 rating-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time612ms−48ms
first ⅓ avg 660ms → last ⅓ avg 612ms
Headshot accuracy14.3%−1.4%
first ⅓ avg 15.7% → last ⅓ avg 14.3%

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

0.11Best match rating · 13–9 · dust2, 2 Nov →
46%Best headshot accuracy · 4–13 · nuke, 30 Sept →
500msFastest reaction time · 13–11 · inferno, 26 Oct →
13–1Biggest win · inferno, 14 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
4–13In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 54% over 13dust2Weakest map · 27% over 15
MapGradePlayedRecordWin rateAvg rating
cacheB2512–1348%-0.03
dust2D154–1127%-0.02
infernoC146–843%-0.04
nukeC146–843%-0.05
anubisB137–654%-0.03
ancientC94–544%-0.00
mirageC94–544%-0.01
overpass—10–10%-0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

65Matches
52%Win rate
0.88Avg K/D
68.3ADR
44%Headshot %

Clutches & streaks

48%1v1 clutch win
28%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Nuke1947%0.9815.4
Inferno1662%0.7910.9
Anubis560%0.8315.0
Ancient560%1.2814.0
Overpass425%0.9014.0
Mirage450%0.7612.5
Dust2333%0.548.3
Train2100%0.9210.5

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.

13.6%Headshot accuracy
32.4%Accuracy (enemy spotted)
31.0%Spray accuracy
83.0%Counter-strafing
9.5°Preaim
611msReaction time
27.3%T opening success
39.8%CT opening success
0.55Enemies flashed / flash
5.8%Flash assists
9.79HE damage / grenade
2.00Flashes / 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 13.6345% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2 — below the 4 mark we flag

    Grenade Lineups →
  3. 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 27.2704% — 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.

27% win rate across 15 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
inferno3–13-0.049%3 Nov →
dust211–13-0.0314%3 Nov →
nuke7–13-0.0113%3 Nov →
dust213–10-0.0013%3 Nov →
cache5–13-0.094%3 Nov →
cache13–6-0.0323%3 Nov →
inferno8–130.0324%3 Nov →
cache6–130.0114%3 Nov →
dust210–13-0.057%2 Nov →
cache13–60.0118%2 Nov →
anubis16–13-0.0813%2 Nov →
ancient2–80.0622%2 Nov →
mirage11–13-0.0311%2 Nov →
inferno11–13-0.0418%2 Nov →
anubis13–8-0.0513%2 Nov →
nuke13–6-0.079%2 Nov →
cache10–13-0.0216%2 Nov →
ancient13–11-0.0110%2 Nov →
inferno13–10-0.078%2 Nov →
anubis13–40.0210%2 Nov →
dust213–90.1123%2 Nov →
dust27–13-0.0614%29 Oct →
anubis13–10-0.079%29 Oct →
inferno13–7-0.059%29 Oct →
mirage13–90.008%28 Oct →
cache8–13-0.0114%28 Oct →
inferno13–6-0.037%28 Oct →
anubis13–7-0.0422%28 Oct →
nuke13–100.0315%28 Oct →
dust213–5-0.0325%28 Oct →
cache15–15-0.0421%28 Oct →
dust21–13-0.0314%28 Oct →
ancient10–13-0.0121%27 Oct →
cache13–6-0.0424%27 Oct →
inferno5–13-0.0214%27 Oct →
cache13–8-0.0120%27 Oct →
dust213–5-0.048%27 Oct →
cache8–13-0.0521%27 Oct →
cache15–15-0.0216%27 Oct →
dust25–13-0.0613%27 Oct →
mirage13–110.0213%27 Oct →
nuke11–13-0.0311%27 Oct →
mirage11–130.0210%26 Oct →
inferno13–110.0017%26 Oct →
nuke1–13-0.0912%26 Oct →
cache13–9-0.0713%26 Oct →
nuke6–13-0.0315%26 Oct →
cache11–13-0.025%26 Oct →
anubis6–13-0.0621%22 Oct →
cache13–6-0.099%22 Oct →
dust28–130.0217%22 Oct →
ancient5–13-0.0710%22 Oct →
mirage13–20.023%21 Oct →
dust26–13-0.0613%21 Oct →
nuke13–6-0.0311%21 Oct →
anubis6–13-0.0317%21 Oct →
cache5–13-0.0917%20 Oct →
inferno13–3-0.037%20 Oct →
cache13–4-0.0411%20 Oct →
nuke13–16-0.069%20 Oct →
mirage13–3-0.0114%20 Oct →
nuke13–80.0010%20 Oct →
cache8–13-0.039%18 Oct →
ancient13–30.0215%18 Oct →
anubis13–70.0915%18 Oct →
nuke13–8-0.0613%18 Oct →
inferno9–13-0.1113%16 Oct →
mirage7–13-0.0320%16 Oct →
anubis14–16-0.0511%16 Oct →
dust24–13-0.0717%15 Oct →
anubis13–8-0.099%15 Oct →
cache13–110.005%15 Oct →
inferno13–1-0.039%14 Oct →
dust213–16-0.059%14 Oct →
nuke13–5-0.108%14 Oct →
cache13–7-0.056%14 Oct →
dust211–13-0.0123%13 Oct →
cache11–13-0.0117%13 Oct →
cache13–60.0615%13 Oct →
anubis11–13-0.036%13 Oct →
inferno5–13-0.0714%11 Oct →
overpass12–12-0.0711%10 Oct →
inferno9–13-0.0714%10 Oct →
ancient9–13-0.0930%10 Oct →
cache7–13-0.1227%10 Oct →
cache13–10-0.0019%10 Oct →
cache11–13-0.0810%10 Oct →
mirage14–16-0.0118%10 Oct →
nuke4–13-0.0711%5 Oct →
dust29–130.0424%5 Oct →
anubis8–13-0.043%5 Oct →
ancient4–130.0228%5 Oct →
mirage1–13-0.0318%5 Oct →
anubis13–16-0.0216%1 Oct →
nuke11–13-0.0511%1 Oct →
ancient13–3-0.006%30 Sept →
ancient13–30.0617%30 Sept →
cache13–60.0217%30 Sept →
inferno6–13-0.0220%30 Sept →
nuke4–13-0.0646%30 Sept →

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 →

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