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Lily♡

Lily♡ — CS2 Stats

UA76561198735854344[U:1:775588616]Steam profile ↗

350Tracked matches43%Win rate2026Tracked since
CSDB Rating3.5 Learning
Ladder ranks via Leetify

Performance scores

Aim28
Positioning54
Utility28

0–100 skill scores via Leetify.

Recent form

STEADY45–46–9Last 10045%Win rateTLWLLLLWWW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating

Player DNA

Aim2.8
Aggression6.1
Utility2.8
Positioning5.4
Opening Duels3.2

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

ropz

Plays most like ropz 75% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

Where you differ: lower utility contribution; 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. 651ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.8
Positioning5.4
Utility2.8
Mechanics3.9
Opening Duels3.2
Win Impact2.6

Composite 3.5/10 (Learning), 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 rating-0.01+0.02
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time657ms−4ms
first ⅓ avg 661ms → last ⅓ avg 657ms
Headshot accuracy10.6%+0.9%
first ⅓ avg 9.8% → last ⅓ avg 10.6%

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.

Highlights

0.17Best rating — inferno 13–3
13–1Biggest win — anubis
4Longest win streak
7–6In matches decided by ≤2 rounds

Map breakdown

infernoBest map · 71% over 17cacheWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
infernoS1712–571%0.00
dust2D155–1033%-0.03
vertigoC125–742%-0.00
mirageC125–742%-0.01
anubisB126–650%-0.01
cacheD92–722%-0.04
nukeC73–443%-0.01
ancientS64–267%0.01
train—40–40%-0.05
shelter—32–167%-0.05
fachwerk—20–20%-0.02
boulder—11–0100%-0.12

Across the last 100 tracked matches.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

10.4%Headshot accuracy
30.2%Accuracy (enemy spotted)
31.3%Spray accuracy
67.8%Counter-strafing
11.6°Preaim
651msReaction time
44.0%T opening success
41.5%CT opening success
0.44Enemies flashed / flash
0.9%Flash assists
6.99HE damage / grenade
7.61Flashes / 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 10.4268% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.437 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Cache

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke12–12-0.0513%24 Aug →
vertigo5–130.0411%24 Aug →
mirage13–4-0.009%18 Aug →
dust29–130.0719%18 Aug →
train4–13-0.0413%18 Aug →
inferno5–13-0.0312%18 Aug →
inferno4–13-0.039%18 Aug →
vertigo13–9-0.0110%18 Aug →
ancient13–5-0.0110%17 Aug →
ancient13–90.0313%15 Aug →
anubis11–13-0.046%15 Aug →
vertigo13–9-0.057%15 Aug →
nuke12–120.0112%15 Aug →
inferno9–30.0212%15 Aug →
nuke7–13-0.0312%15 Aug →
inferno6–13-0.0213%8 Aug →
nuke13–7-0.0019%6 Aug →
cache9–13-0.098%6 Aug →
inferno11–130.0011%3 Aug →
cache9–13-0.0310%3 Aug →
ancient10–130.0112%2 Aug →
vertigo9–130.0410%2 Aug →
dust213–110.017%2 Aug →
mirage13–11-0.0111%2 Aug →
anubis13–80.049%2 Aug →
inferno13–5-0.069%2 Aug →
mirage6–130.008%31 Jul →
dust213–30.1012%31 Jul →
dust27–13-0.083%31 Jul →
vertigo10–13-0.035%31 Jul →
inferno13–60.0312%31 Jul →
nuke13–20.0214%31 Jul →
vertigo12–120.0110%31 Jul →
train11–13-0.058%30 Jul →
vertigo7–13-0.0117%30 Jul →
ancient11–130.065%30 Jul →
mirage9–13-0.029%30 Jul →
dust213–5-0.068%30 Jul →
train12–12-0.077%30 Jul →
anubis5–13-0.0314%30 Jul →
anubis13–30.047%30 Jul →
fachwerk10–13-0.0414%29 Jul →
inferno13–7-0.0310%29 Jul →
inferno13–9-0.0315%29 Jul →
cache13–11-0.0216%29 Jul →
vertigo13–70.0113%29 Jul →
dust26–13-0.0611%29 Jul →
vertigo13–10-0.018%28 Jul →
anubis5–13-0.017%28 Jul →
vertigo8–13-0.0112%28 Jul →
anubis13–50.0710%28 Jul →
ancient6–5-0.094%28 Jul →
ancient13–90.0416%28 Jul →
cache4–10-0.0012%28 Jul →
inferno5–4-0.056%28 Jul →
inferno13–100.1412%28 Jul →
inferno13–5-0.0613%26 Jul →
vertigo13–70.0910%26 Jul →
anubis12–12-0.0110%26 Jul →
anubis13–1-0.0130%26 Jul →
anubis13–10-0.0815%25 Jul →
train12–12-0.039%25 Jul →
shelter13–6-0.0519%25 Jul →
dust28–13-0.0512%23 Jul →
dust20–4-0.090%23 Jul →
mirage2–13-0.0610%23 Jul →
anubis7–13-0.0813%22 Jul →
dust24–13-0.046%22 Jul →
dust213–6-0.0611%22 Jul →
dust29–13-0.0710%22 Jul →
mirage13–110.0815%22 Jul →
cache4–13-0.0618%22 Jul →
vertigo2–13-0.1012%17 Jul →
nuke9–13-0.036%16 Jul →
dust22–9-0.068%16 Jul →
dust210–13-0.0311%16 Jul →
cache12–120.0111%15 Jul →
fachwerk12–12-0.013%15 Jul →
inferno13–9-0.036%15 Jul →
cache11–13-0.0422%14 Jul →
mirage7–13-0.0413%14 Jul →
mirage4–13-0.0811%14 Jul →
dust213–7-0.007%13 Jul →
mirage13–60.074%13 Jul →
nuke13–9-0.013%13 Jul →
cache13–3-0.077%11 Jul →
shelter11–130.003%11 Jul →
inferno13–30.1713%11 Jul →
anubis7–13-0.017%11 Jul →
boulder13–9-0.129%11 Jul →
shelter13–8-0.097%11 Jul →
mirage8–130.0110%10 Jul →
dust27–13-0.0312%10 Jul →
mirage8–13-0.0412%10 Jul →
inferno13–1-0.0013%10 Jul →
anubis13–9-0.008%20 Jun →
cache6–13-0.085%20 Jun →
inferno12–120.0120%20 Jun →
inferno13–110.049%19 Jun →
mirage13–10-0.049%19 Jun →

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 →

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