Wild Lily

Wild Lily — CS2 Stats

76561199010548946[U:1:1050283218]Steam profile ↗✓ No bans

185Tracked matches40%Win rate2020Tracked since
606Hours in CS
CSDB Rating3.1 LearningSupport
Premier CS Rating8,748Light Blue band · top ~60.9% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Apr 2026 (156 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 52 days played since 30 Dec 2025. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 8,748 +5,363 30 Dec15 Apr · 44 days played
2,82612,978peak 12,97830 Dec15 Apr
13,206Peak Premier in tracked matches
52Days played since 2025-12-30

Premier CS Rating

  • 4,230 below peak (12,978)
  • -2,973 over 30 days · declining
  • +5,888 over 90 days
  • Next: Blue band at 10,000 1,252 to go
  • Reached: Blue band · Light Blue band

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

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=8,059), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate32.0%39.9%41.9%9.9% short
Shot accuracy13.5%6.8%9.6%above
Kill/death ratio1.160.910.98above
Match win rate41.6%42.3%43.8%2.2% short

This profile matches the typical Blue band player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGWild LilyPREMIER8,748 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim34
Positioning33
Utility36

0–100 skill scores via Leetify.

Recent form

STEADY48511Last 10048%Win rateWLWWLWWLLW

Last 10 vs previous 10: +40pp win rate · +0.01 avg rating · −3.3pp headshot accuracy · +55ms reaction

Win rate up 40pp 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

  • 32 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 12%
  • Avg reaction 719ms

Last 10

  • 64 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 10%
  • Avg reaction 675ms

Last 20

  • 812 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 648ms

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: SupportUtility contribution stands above the rest of this profile (+0.9 against its own average).

Aim3.4
Utility3.6
Positioning3.3
Opening Duels1.1

Strong CT-side opener

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

jL

Plays most like jL 78% 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 43% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 665ms 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

Aim3.4
Positioning3.3
Utility3.6
Mechanics5.8
Opening Duels1.7
Win Impact1.7

Composite 3.1/10 (Learning), 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-0.03−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time663ms−29ms
first ⅓ avg 692ms → last ⅓ avg 663ms
Headshot accuracy13.8%−1.9%
first ⅓ avg 15.7% → last ⅓ avg 13.8%

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

0.12Best match rating · 9–6 · inferno, 21 Jan
43%Best headshot accuracy · 3–13 · dust2, 18 Mar
453msFastest reaction time · 10–13 · inferno, 23 Mar
13–2Biggest win · mirage, 25 Feb

Across the last 100 tracked matches.

Highlights

6Longest win streak
95In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 50% over 26dust2Weakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
mirageB34161847%-0.02
nukeB26131350%-0.03
infernoB189950%-0.03
dust2C114736%-0.03
ancient43175%0.01
anubis43175%-0.00
overpass3030%-0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

36,401Lifetime kills
1.16K/D · Top 10% of Light Blue band
1,905Matches
41.6%Match win rate
32.0%Headshot %
13.5%Shot accuracy · Top 25% of Light Blue band
4,021MVPs
606Hours (in match)
1,544Bombs planted
329Bombs defused

Most-used weapons

Lifetime map wins

1,988dust2
1,818inferno
1,460nuke
1,452vertigo
644train
569office
305lake
250cbble

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

Faceit stats

Combat

8Matches
38%Win rate
0.60Avg K/D
ADR
33%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
1Longest win streak

Recent Faceit resultsLLWLW

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.

13.7%Headshot accuracy
27.8%Accuracy (enemy spotted)
26.6%Spray accuracy
76.2%Counter-strafing
10.0°Preaim
665msReaction time
23.4%T opening success
43.2%CT opening success
0.52Enemies flashed / flash
1.9%Flash assists
8.53HE damage / grenade
5.02Flashes / 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 13.6664% — below the 15% mark we flag

    Aim Training
  2. 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 23.3881% — 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.

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage16–140.008%15 Apr
mirage9–130.033%15 Apr
mirage13–9-0.0317%14 Apr
nuke13–90.0215%14 Apr
mirage6–13-0.0319%13 Apr
mirage13–10-0.0410%12 Apr
mirage13–4-0.055%12 Apr
mirage6–130.046%1 Apr
mirage10–13-0.087%23 Mar
ancient13–70.028%23 Mar
overpass4–9-0.0020%23 Mar
mirage5–130.0114%23 Mar
inferno10–130.0220%23 Mar
dust25–13-0.0216%22 Mar
inferno9–4-0.1910%21 Mar
inferno9–20.077%21 Mar
mirage10–13-0.028%21 Mar
dust24–130.0117%20 Mar
mirage7–13-0.095%18 Mar
nuke9–13-0.0514%18 Mar
anubis5–130.0220%18 Mar
nuke9–13-0.0215%18 Mar
dust23–13-0.0843%18 Mar
mirage13–100.0210%18 Mar
nuke6–13-0.0828%17 Mar
nuke13–4-0.0517%17 Mar
nuke13–4-0.059%16 Mar
dust213–10-0.0425%16 Mar
nuke2–13-0.053%16 Mar
inferno2–13-0.0717%16 Mar
ancient11–13-0.038%16 Mar
nuke13–10-0.0510%14 Mar
mirage13–7-0.0623%14 Mar
nuke10–13-0.0413%14 Mar
mirage3–13-0.1033%14 Mar
dust213–10-0.0217%14 Mar
mirage3–13-0.0613%12 Mar
inferno8–2-0.0610%12 Mar
inferno4–13-0.090%11 Mar
mirage10–13-0.0211%11 Mar
nuke7–13-0.0221%11 Mar
dust213–11-0.0018%10 Mar
nuke8–80.0316%10 Mar
mirage16–14-0.0616%9 Mar
nuke10–13-0.0515%9 Mar
inferno11–13-0.067%8 Mar
inferno5–13-0.0119%8 Mar
dust27–13-0.0413%4 Mar
anubis13–11-0.0410%4 Mar
inferno13–5-0.0211%4 Mar
mirage13–30.006%4 Mar
mirage13–100.029%4 Mar
nuke13–11-0.0213%3 Mar
inferno11–13-0.0718%3 Mar
mirage13–100.0217%3 Mar
inferno16–140.0124%2 Mar
nuke6–13-0.0118%2 Mar
nuke3–13-0.0919%1 Mar
inferno11–13-0.057%27 Feb
mirage13–50.0612%27 Feb
nuke13–8-0.0413%26 Feb
anubis13–40.0413%26 Feb
mirage13–20.0625%25 Feb
nuke11–7-0.0435%25 Feb
nuke2–9-0.0410%24 Feb
mirage13–30.0314%24 Feb
nuke13–80.0410%24 Feb
mirage11–13-0.0012%23 Feb
nuke13–8-0.0513%22 Feb
mirage0–10-0.0110%21 Feb
anubis13–11-0.0311%20 Feb
mirage13–3-0.0418%20 Feb
mirage4–13-0.0414%17 Feb
inferno13–10-0.0225%16 Feb
nuke13–5-0.019%15 Feb
dust213–8-0.0615%15 Feb
dust24–13-0.0815%12 Feb
mirage10–13-0.0110%11 Feb
nuke13–16-0.0412%10 Feb
mirage8–13-0.0311%10 Feb
ancient13–40.047%9 Feb
overpass3–13-0.114%7 Feb
mirage13–50.0513%6 Feb
mirage9–13-0.0115%1 Feb
inferno6–13-0.0716%31 Jan
inferno3–9-0.1814%30 Jan
dust26–13-0.0420%29 Jan
mirage13–8-0.0822%29 Jan
inferno13–80.0418%29 Jan
nuke13–7-0.0211%27 Jan
nuke16–140.0426%24 Jan
inferno9–70.0021%23 Jan
inferno9–60.1227%21 Jan
mirage7–13-0.049%18 Jan
ancient13–80.0219%18 Jan
mirage3–130.0333%16 Jan
nuke9–13-0.0316%16 Jan
overpass4–13-0.0610%13 Jan
nuke13–10-0.0019%8 Jan
dust27–13-0.0024%30 Dec

Match data via Leetify.

Recent teammates

Milestones

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