MAMA LULU <3

MAMA LULU <3 — CS2 Stats

DK76561198143925923[U:1:183660195]Steam profile ↗✓ No bans

1,925Tracked matches48%Win rate2020Tracked since
3,071Hours in CS15Hrs last 2 wks
CSDB Rating4.4 DevelopingPositional Player
Premier CS Rating9,989Light Blue band · top ~54.9% of ranked players (population est.)
WingmanSilver Elite Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Oct 2026 (yesterday). 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: 9,989 -1,560 22 Aug – 1 Oct · 27 days played
9,30915,000peak 15,00022 Aug1 Oct
15,363Peak Premier in tracked matches
586Highest Faceit ELO seen on CSDB
26Days played since 2026-08-22

Faceit ELO

  • At peak — 586
  • Next: Level 3 at 751 — 165 to go
  • Reached: Level 2
  • Level 2 first seen 2026-09-14

Premier CS Rating

  • 5,011 below peak (15,000)
  • -4,043 over 30 days · declining
  • Next: Blue band at 10,000 — 11 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Light Blue band first seen 2026-09-14

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.

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=8,820), 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 rate45.1%39.9%41.9%above
Shot accuracy12.4%7.0%9.6%above
Kill/death ratio0.700.920.980.28 short
Match win rate35.7%42.3%43.8%8.1% short

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

Widest gap: Kill/death ratio. 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.GGMAMA LULU <3PREMIER9,989 · Light Blue bandPEAK ELO586csdb.gg/stats

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Performance scores

Aim54
Positioning55
Utility32

0–100 skill scores via Leetify.

Recent form

STEADY47–49–4Last 10047%Win rateWWWLLWWLTW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −7.0pp headshot accuracy · +28ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 9%
  • Avg reaction 767ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 10%
  • Avg reaction 719ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 705ms

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: Positional Player — Positioning stands above the rest of this profile (+2.6 against its own average).

Aim5.4
Utility3.2
Positioning5.5
Opening Duels3.0
Clutch0.0

Limited 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

ZywOo

Plays most like ZywOo 82% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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

Strengths

T openings. 73% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 73% on T to 45% on CT — first contacts on the defending side are being lost.

Reaction time. 667ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim5.4
Positioning5.5
Utility3.2
Mechanics3.6
Opening Duels6.9
Win Impact4.4

Composite 4.4/10 (Developing), 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-0.02+0.02
first ⅓ avg -0.04 → last ⅓ avg -0.02
Reaction time655ms−11ms
first ⅓ avg 666ms → last ⅓ avg 655ms
Headshot accuracy14.8%+0.8%
first ⅓ avg 14.0% → last ⅓ avg 14.8%

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

0.22Best match rating · 13–7 · cache, 11 Sept →
35%Best headshot accuracy · 5–13 · ancient, 11 Sept →
469msFastest reaction time · 8–8 · inferno, 12 Sept →
13–1Biggest win · cache, 27 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W3Current streak
5–3In matches decided by ≤2 rounds
7Overtime games

Map breakdown

cacheBest map · 63% over 16anubisWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
mirageB2614–1254%-0.03
nukeB1910–953%-0.04
infernoC198–1142%-0.05
cacheA1610–663%-0.03
anubisD144–1029%-0.04
ancient—30–30%-0.01
dust2—21–150%-0.07
overpass—10–10%-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

72,762Lifetime kills
0.70K/D
5,425Matches
35.7%Match win rate
45.1%Headshot % · Top 25% of Light Blue band
12.4%Shot accuracy · Top 50% of Light Blue band
12,764MVPs
1,640Hours (in match)
3,792Bombs planted
399Bombs defused

Most-used weapons

AK-4719,419
AWP8,525
MP92,555
SSG 081,357
MAC-101,258

Lifetime map wins

7,793inferno
4,529nuke
3,880dust2
3,315cbble
1,558vertigo
1,036train
451office
41lake

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

Faceit stats

Combat

14Matches
14%Win rate
0.52Avg K/D
64.8ADR
56%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage520%0.417.2
Inferno30%0.5810.3
Ancient333%0.7712.7
Dust210%0.6012.0
Nuke10%0.193.0

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.

15.0%Headshot accuracy
36.3%Accuracy (enemy spotted)
38.2%Spray accuracy
66.1%Counter-strafing
9.0°Preaim
667msReaction time
72.9%T opening success
45.2%CT opening success
0.64Enemies flashed / flash
3.3%Flash assists
11.10HE damage / grenade
3.96Flashes / 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 14.9743% — 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 3.9602 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Anubis

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

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–5-0.0311%1 Oct →
nuke13–9-0.0211%1 Oct →
cache13–8-0.089%1 Oct →
cache5–13-0.088%28 Sept →
cache10–13-0.076%24 Sept →
nuke13–11-0.0117%24 Sept →
inferno13–6-0.0117%23 Sept →
anubis9–13-0.086%23 Sept →
cache15–15-0.0311%23 Sept →
mirage13–5-0.100%22 Sept →
anubis2–13-0.0614%22 Sept →
nuke12–16-0.0615%21 Sept →
cache13–30.0226%21 Sept →
mirage9–13-0.0120%21 Sept →
inferno8–130.0016%20 Sept →
anubis13–5-0.0414%20 Sept →
nuke13–7-0.0619%20 Sept →
inferno13–2-0.0820%16 Sept →
cache13–6-0.0111%16 Sept →
mirage5–13-0.0710%16 Sept →
anubis10–13-0.036%16 Sept →
mirage13–6-0.0120%12 Sept →
nuke3–13-0.0317%12 Sept →
ancient4–13-0.0314%12 Sept →
inferno8–80.0112%12 Sept →
overpass8–8-0.0219%12 Sept →
anubis8–13-0.0812%12 Sept →
ancient5–130.0535%11 Sept →
cache13–70.2227%11 Sept →
anubis11–130.1523%11 Sept →
nuke13–60.0216%11 Sept →
inferno6–13-0.0226%8 Sept →
anubis13–6-0.050%8 Sept →
inferno11–13-0.0613%7 Sept →
mirage4–13-0.0518%7 Sept →
cache8–13-0.0514%7 Sept →
nuke8–13-0.0714%6 Sept →
mirage13–70.0319%6 Sept →
anubis8–13-0.097%6 Sept →
inferno9–13-0.0725%6 Sept →
cache15–15-0.0323%6 Sept →
mirage13–8-0.0713%5 Sept →
nuke13–10-0.0221%5 Sept →
inferno9–13-0.1021%5 Sept →
mirage5–13-0.0210%3 Sept →
mirage8–13-0.0821%3 Sept →
nuke5–13-0.0611%1 Sept →
anubis9–13-0.0119%1 Sept →
inferno10–13-0.1024%1 Sept →
anubis9–13-0.104%31 Aug →
mirage13–50.0612%31 Aug →
cache13–6-0.0315%31 Aug →
nuke4–13-0.0911%31 Aug →
inferno13–2-0.0117%31 Aug →
nuke13–3-0.1013%30 Aug →
mirage16–14-0.086%30 Aug →
inferno6–13-0.0715%29 Aug →
mirage13–2-0.0313%29 Aug →
nuke11–2-0.0422%29 Aug →
dust213–9-0.0410%28 Aug →
nuke6–13-0.068%28 Aug →
mirage6–13-0.087%28 Aug →
mirage13–5-0.0022%28 Aug →
nuke13–6-0.0815%28 Aug →
inferno13–5-0.0311%28 Aug →
cache13–7-0.0911%28 Aug →
mirage9–13-0.0713%28 Aug →
mirage13–11-0.029%27 Aug →
nuke10–13-0.0310%27 Aug →
cache13–10.0011%27 Aug →
inferno10–13-0.0821%27 Aug →
cache13–8-0.036%27 Aug →
nuke13–8-0.0116%27 Aug →
mirage8–13-0.038%27 Aug →
mirage13–160.0122%26 Aug →
anubis7–13-0.0314%26 Aug →
inferno8–13-0.0622%26 Aug →
mirage13–70.0317%26 Aug →
cache13–5-0.0514%26 Aug →
mirage7–130.0112%25 Aug →
anubis7–13-0.0717%25 Aug →
ancient6–13-0.055%25 Aug →
mirage13–9-0.0614%24 Aug →
nuke10–13-0.036%24 Aug →
anubis13–10-0.0812%24 Aug →
inferno13–6-0.0724%24 Aug →
mirage13–10-0.0213%24 Aug →
cache5–13-0.0711%23 Aug →
inferno16–14-0.0221%23 Aug →
inferno4–13-0.118%23 Aug →
anubis13–11-0.0213%23 Aug →
inferno13–9-0.0113%23 Aug →
nuke13–10-0.0319%23 Aug →
mirage11–13-0.0110%22 Aug →
nuke9–13-0.0410%22 Aug →
dust22–13-0.0929%22 Aug →
inferno13–9-0.0515%22 Aug →
mirage13–4-0.0110%22 Aug →
mirage6–13-0.0319%22 Aug →
mirage16–13-0.0412%22 Aug →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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