Somali Day-Care Enjoyer

Somali Day-Care Enjoyer — CS2 Stats

76561198063227591[U:1:102961863]Steam profile ↗3 game bans

775Tracked matches50%Win rate2020Tracked since
967Hours in CS
CSDB Rating5.9 SolidHybrid Rifler
Premier CS Rating19,999Purple band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#21072 of 54362 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=5,002), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate38.8%44.2%47.1%8.3% short
Shot accuracy12.6%11.6%12.8%meets
Kill/death ratio1.121.031.08above
Match win rate50.8%45.2%46.6%above

This profile matches the typical Pink band player on 3 of 4 comparable metrics.

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

Share this profile

CSDB.GGSomali Day-Care EnjoyerPREMIER19,999 · Purple bandcsdb.gg/stats

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Performance scores

Aim71
Positioning51
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY57403Last 10057%Win rateLWWLWLWLWL

Last 10 vs previous 10: +10pp win rate · -0.05 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim7.1
Aggression6.1
Utility6.0
Positioning5.1
Opening Duels2.4
Clutch4.4

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.

Your pro match

Twistzz

Plays most like Twistzz 91% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: 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 55% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.1
Positioning5.1
Utility6.0
Mechanics6.9
Opening Duels3.1
Win Impact5.0

Composite 5.9/10 (Solid), 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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time533ms+4ms
first ⅓ avg 530ms → last ⅓ avg 533ms
Headshot accuracy15.7%+3.7%
first ⅓ avg 11.9% → last ⅓ avg 15.7%

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

0.21Best rating — vertigo 13–7
131Biggest win — ancient
5Longest win streak
87In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 67% over 6dust2Weakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
mirageS32211166%0.04
infernoB21101148%0.00
ancientA149564%0.04
dust2D124833%0.03
anubisA85363%0.02
nukeS64267%-0.00
vertigo31233%0.07
overpass220100%0.04
train21150%0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

46,427Lifetime kills
1.12K/D · Top 50% of Purple band
1,880Matches
50.8%Match win rate · Top 25% of Purple band
38.8%Headshot %
12.6%Shot accuracy · Top 50% of Purple band
6,506MVPs
967Hours (in match)
2,460Bombs planted
882Bombs defused

Most-used weapons

AK-4715,447
AWP3,131
Knife1,323
MAC-101,116
MP9754

Lifetime map wins

4,145dust2
4,138inferno
1,169vertigo
1,137nuke
299train
212cbble
53office
18lake

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

Faceit stats

Combat

601Matches
55%Win rate
1.17Avg K/D
84.7ADR
41%Headshot %

Clutches & streaks

42%1v1 clutch win
26%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage9957%1.1616.0
Ancient5452%1.1516.5
Inferno5139%1.1016.9
Anubis3444%0.8814.2
Vertigo2662%1.2417.9
Nuke2157%1.1217.9
Dust21464%1.3020.3
Overpass875%1.2221.0

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.

14.9%Headshot accuracy
33.4%Accuracy (enemy spotted)
36.4%Spray accuracy
80.9%Counter-strafing
9.2°Preaim
535msReaction time
24.6%T opening success
54.7%CT opening success
0.66Enemies flashed / flash
8.6%Flash assists
9.99HE damage / grenade
7.78Flashes / 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 14.9385% — 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 24.6238% — 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.

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage11–13-0.069%1 May
mirage13–7-0.0019%23 Feb
nuke13–80.0711%17 Feb
dust29–130.1019%17 Feb
ancient13–11-0.0216%16 Feb
anubis7–13-0.0412%16 Feb
mirage13–10-0.0213%15 Feb
inferno2–13-0.1017%15 Feb
anubis13–70.0213%12 Feb
anubis7–13-0.0410%8 Feb
dust212–160.0616%8 Feb
ancient2–90.1120%8 Feb
ancient7–13-0.0223%7 Feb
dust26–13-0.1021%5 Feb
mirage13–30.0620%4 Feb
mirage8–13-0.0113%1 Feb
ancient13–10.206%30 Jan
ancient13–10.0118%29 Jan
mirage13–30.0717%29 Jan
mirage10–130.0210%27 Jan
mirage13–80.0321%26 Jan
ancient5–130.0216%26 Jan
anubis13–40.118%25 Jan
dust213–60.0317%25 Jan
nuke10–3-0.0221%25 Jan
dust24–13-0.0112%23 Jan
vertigo9–13-0.037%21 Dec
mirage13–80.0710%21 Dec
dust23–9-0.0450%26 Oct
mirage13–50.1415%17 Oct
dust29–13-0.065%1 Sept
overpass13–30.0615%30 Aug
overpass13–60.0318%21 Aug
inferno13–80.0121%21 Aug
mirage13–100.0619%18 Aug
inferno8–13-0.0316%17 Aug
inferno15–150.0810%15 Aug
mirage11–130.0417%14 Aug
mirage13–80.2017%13 Aug
dust213–10.1512%7 Aug
inferno13–40.0913%7 Aug
ancient13–110.049%7 Aug
mirage13–50.0617%3 Aug
inferno8–130.1017%30 Jul
mirage13–70.0510%30 Jul
nuke12–120.0317%25 Jul
mirage4–130.0613%22 Jul
mirage13–60.1215%22 Jul
vertigo3–130.0211%19 Jul
inferno13–80.0810%19 Jul
mirage13–70.0824%19 Jul
vertigo13–70.2119%18 Jul
ancient12–120.0013%18 Jul
dust213–90.1522%18 Jul
anubis13–30.0323%12 Jul
mirage16–12-0.0221%11 Jul
anubis13–80.016%9 Jul
mirage13–160.0017%29 Jun
inferno11–13-0.0619%29 Jun
mirage13–30.0514%29 Jun
nuke13–10-0.0314%29 Jun
nuke13–80.0222%24 Jun
dust28–130.0018%13 Jun
dust28–130.0018%13 Jun
inferno17–19-0.0115%13 May
ancient19–160.0213%13 May
inferno13–90.009%13 May
inferno7–130.0211%11 May
dust213–110.0820%10 May
mirage13–110.0312%10 May
inferno10–13-0.0310%10 May
inferno13–70.0213%9 May
ancient13–90.0122%9 May
mirage10–130.0214%7 May
inferno25–230.0110%4 May
mirage11–12-0.018%4 May
inferno16–120.0810%3 May
anubis13–70.109%3 May
mirage13–110.0212%3 May
mirage8–130.038%2 May
ancient13–9-0.038%1 May
inferno13–50.048%1 May
mirage6–13-0.047%30 Apr
mirage13–40.0320%30 Apr
mirage13–9-0.0112%30 Apr
inferno9–13-0.0115%19 Apr
train9–130.0313%18 Apr
inferno13–9-0.0112%17 Apr
mirage13–60.0414%11 Apr
anubis10–13-0.0212%11 Apr
inferno13–110.0112%6 Apr
ancient22–200.028%6 Apr
mirage11–13-0.079%6 Apr
train13–100.038%29 Mar
ancient13–60.0816%29 Mar
inferno7–13-0.0112%29 Mar
nuke7–9-0.0911%25 Mar
inferno0–9-0.216%25 Mar
ancient2–130.0815%25 Mar
mirage10–40.0919%25 Mar

Match data via Leetify.

Recent teammates

Milestones

2K ELO500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →