LACRİMOSAAA| EasySkins com

LACRİMOSAAA| EasySkins com — CS2 Stats

US76561198874789108[U:1:914523380]Steam profile ↗✓ No bans

209Tracked matches50%Win rate2022Tracked since
762Hours in CS
CSDB Rating3.7 Learning
Premier CS Rating13,172Blue band · top ~38.1% of ranked players (population est.)
CSDB Leaderboard#33735 of 51274 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=2,468), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate38.2%41.4%44.2%6.0% short
Shot accuracy9.5%9.0%11.6%2.1% short
Kill/death ratio0.860.971.030.17 short
Match win rate31.3%43.7%45.2%13.9% short

This profile sits below the typical Purple band player on every metric we can compare.

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

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CSDB.GGLACRİMOSAAA| EasySkins comPREMIER13,172 · Blue bandcsdb.gg/stats

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Performance scores

Aim36
Positioning39
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY48475Last 10048%Win rateLWLLLWWLLW

Last 10 vs previous 10: -20pp win rate · -0.03 avg rating

Player DNA

Aim3.6
Aggression4.7
Utility4.2
Positioning3.9
Opening Duels1.1

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

NiKo

Plays most like NiKo 74% playstyle similarity

Most alike: opening-fight frequency, 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. 679ms 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

Aim3.6
Positioning3.9
Utility4.2
Mechanics4.8
Opening Duels1.4
Win Impact5.0

Composite 3.7/10 (Learning), 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-0.03−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time693ms−0ms
first ⅓ avg 693ms → last ⅓ avg 693ms
Headshot accuracy15.6%−3.4%
first ⅓ avg 19.0% → last ⅓ avg 15.6%

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

0.12Best rating — dust2 8–13
131Biggest win — ancient
4Longest win streak
86In matches decided by ≤2 rounds
14Overtime games

Map breakdown

ancientBest map · 73% over 11dust2Weakest map · 39% over 23
MapGradePlayedRecordWin rateAvg rating
mirageC27111641%-0.02
dust2C2391439%-0.02
infernoB157847%-0.01
nukeC125742%-0.05
ancientS118373%0.00
anubisS75271%-0.02
overpass330100%0.03
train2020%-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (39% over 23). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

50,675Lifetime kills
0.86K/D
3,036Matches
31.3%Match win rate
38.2%Headshot %
9.5%Shot accuracy · Top 50% of Blue band
4,459MVPs
762Hours (in match)
1,355Bombs planted
284Bombs defused

Most-used weapons

AK-4711,289
AWP7,669
MP72,106
P901,507
AUG1,372

Lifetime map wins

6,305dust2
2,509inferno
1,099nuke
594vertigo
403train
228lake
141cbble
67ar_shoots

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

Skill profile

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

15.3%Headshot accuracy
29.4%Accuracy (enemy spotted)
28.0%Spray accuracy
71.6%Counter-strafing
9.9°Preaim
679msReaction time
27.4%T opening success
41.2%CT opening success
0.61Enemies flashed / flash
3.6%Flash assists
13.28HE damage / grenade
2.42Flashes / 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. Grenades & Utility

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

    Flashes per match 2.4159 — below the 4 mark we flag

    Grenade Lineups
  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 27.4176% — 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.

39% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage7–13-0.0013%26 Aug
dust213–9-0.069%21 Aug
nuke4–9-0.1818%12 Aug
dust26–13-0.0813%5 Aug
ancient7–13-0.0715%3 Aug
mirage13–9-0.0416%29 Jul
mirage13–70.0218%23 Jul
mirage10–13-0.057%16 Jul
mirage9–13-0.0335%6 Jul
ancient13–60.0511%6 Jul
overpass13–20.019%2 Jul
dust21–7-0.0123%1 Jul
ancient13–50.0228%1 Jul
mirage15–15-0.0913%22 Jun
anubis13–4-0.0510%17 Jun
dust210–13-0.0218%17 Jun
nuke13–4-0.0511%11 Jun
inferno9–50.0418%4 Jun
mirage13–30.0111%4 Jun
dust215–15-0.0519%24 May
dust216–14-0.0216%21 May
anubis5–13-0.054%14 May
mirage11–13-0.0813%10 May
anubis13–100.0220%10 May
dust213–7-0.0013%6 May
dust213–110.0011%3 May
inferno11–13-0.0818%30 Apr
nuke9–130.0518%20 Apr
mirage7–13-0.0714%12 Apr
dust213–6-0.0511%11 Apr
dust25–13-0.0523%9 Apr
mirage7–13-0.0619%9 Apr
inferno11–10.0622%31 Mar
nuke16–14-0.0515%31 Mar
inferno11–13-0.0617%29 Mar
mirage15–15-0.0323%22 Mar
nuke13–8-0.0613%22 Mar
inferno13–60.0722%16 Mar
nuke6–13-0.0221%9 Mar
mirage16–140.0021%3 Mar
dust213–5-0.0127%23 Feb
dust27–13-0.0618%13 Feb
inferno8–13-0.0026%9 Feb
dust28–130.0225%8 Feb
ancient15–15-0.0424%7 Feb
inferno16–13-0.0016%4 Feb
ancient13–40.057%4 Feb
mirage11–13-0.0217%2 Feb
mirage13–110.0417%1 Feb
inferno13–16-0.0717%31 Jan
dust213–9-0.0110%31 Jan
overpass13–6-0.0118%30 Jan
nuke13–11-0.0519%30 Jan
nuke8–13-0.0421%29 Jan
mirage13–60.0631%29 Jan
inferno13–9-0.0313%28 Jan
anubis5–13-0.0314%24 Jan
anubis16–130.0312%23 Jan
mirage7–13-0.0723%22 Jan
mirage13–50.0332%22 Jan
anubis13–6-0.0316%21 Jan
ancient16–13-0.0117%15 Jan
nuke13–110.0326%13 Jan
nuke9–13-0.0922%7 Jan
ancient13–10.0435%31 Dec
train15–15-0.0215%31 Dec
inferno11–13-0.0235%30 Dec
inferno10–13-0.0522%25 Dec
mirage3–13-0.0219%17 Dec
nuke4–13-0.0736%9 Dec
ancient13–60.0114%27 Nov
mirage13–10-0.0115%24 Nov
dust216–130.0514%14 Nov
dust27–13-0.0711%10 Nov
dust26–130.0216%10 Nov
mirage13–6-0.0328%7 Nov
mirage9–130.0019%29 Oct
train10–13-0.0614%15 Oct
ancient13–60.0535%11 Oct
dust28–130.1222%20 Sept
dust213–8-0.0416%14 Sept
mirage8–13-0.0219%10 Sept
dust29–130.0229%8 Sept
dust25–130.0026%21 Aug
inferno8–13-0.0416%21 Aug
mirage16–14-0.0518%14 Aug
mirage10–13-0.0313%13 Aug
mirage3–13-0.046%9 Aug
inferno11–13-0.0327%9 Aug
overpass13–60.1026%8 Aug
dust22–100.0529%2 Aug
mirage13–60.0122%31 Jul
mirage5–13-0.0917%29 Jul
inferno13–90.0315%24 Jul
ancient0–13-0.123%18 Jul
dust25–13-0.106%9 Jul
ancient13–70.0321%9 Jul
inferno13–10.0214%8 Jul
anubis13–50.0019%7 Jul
nuke8–13-0.0420%6 Jul

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 →