MaMa

MaMa — CS2 Stats

VI76561199148551261[U:1:1188285533]Steam profile ↗✓ No bans

2,540Tracked matches52%Win rate2021Tracked since
4,013Hours in CS13Hrs last 2 wks
CSDB Rating5.6 SolidAll-Rounder
Premier CS Rating22,384Top 25% of 213,399 CSDB-tracked playersPink band · top ~5.9% of ranked players (population est.)
CSDB Leaderboard#51633 of 260000 tracked
FaceitLevel 9 · 1,564 ELOTop 20.7% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 2026 (6 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.

Rating over time

Premier CS Rating: 22,384 +4,540 6 Mar – 30 Oct · 21 days played
16,54322,384peak 22,3846 Mar30 Oct
22,384Peak Premier in tracked matches
1,564Highest Faceit ELO seen on CSDB
66Days played since 2026-03-06

Faceit ELO

  • At peak — 1,564
  • Next: Level 9 at 1,751 — 187 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5

Premier CS Rating

  • At peak — 22,384
  • Next: Red band at 25,000 — 2,616 to go
  • Reached: Pink band · Purple band · 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 Level 9 among CSDB-tracked players (n=15,132), 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 playerLevel 9 medianLevel 10 medianvs Level 10
Headshot rate52.8%48.2%50.9%above
Shot accuracy10.2%13.2%13.7%3.5% short
Kill/death ratio0.701.071.090.39 short
Match win rate48.1%46.9%48.4%meets

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMaMaFACEITLevel 9 · 1,564 ELOSTANDINGTop 20.7% of rankedPREMIER22,384 · Pink bandPEAK ELO1,564csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim60
Positioning50
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY47–49–4Last 10047%Win rateWWLLWWTWLL

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · +3.3pp headshot accuracy · +37ms reaction

Win rate 0pp 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 0.00
  • Avg headshot accuracy 23%
  • Avg reaction 564ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 605ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 586ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim6.0
Utility5.1
Positioning5.0
Opening Duels4.3
Clutch3.4

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

device

Plays most like device 86% 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

Areas to improve

Reaction time. 588ms 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

Aim6.0
Positioning5.0
Utility5.1
Mechanics5.8
Opening Duels5.2
Win Impact5.6

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time600ms−3ms
first ⅓ avg 603ms → last ⅓ avg 600ms
Headshot accuracy19.6%+3.1%
first ⅓ avg 16.5% → last ⅓ avg 19.6%

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.

Personal bests

0.11Best match rating · 4–13 · nuke, 29 Jun →
35%Best headshot accuracy · 2–13 · nuke, 5 Aug →
422msFastest reaction time · 5–13 · ancient, 17 Sept →
13–1Biggest win · anubis, 22 Mar →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
10–5In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 63% over 19nukeWeakest map · 32% over 22
MapGradePlayedRecordWin rateAvg rating
nukeD227–1532%-0.02
ancientA1912–763%0.00
anubisC187–1139%-0.02
mirageA169–756%-0.01
cacheA85–363%0.00
infernoC73–443%-0.02
dust2B63–350%-0.02
eldorado—11–0100%0.08
poseidon—10–10%-0.12
office—10–10%-0.07
overpass—10–10%-0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (32% over 22). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

124,568Lifetime kills
0.70K/D
4,538Matches
48.1%Match win rate · Top 50% of Level 9 players
52.8%Headshot % · Top 50% of Level 9 players
10.2%Shot accuracy
13,972MVPs
3,333Hours (in match)
3,572Bombs planted
3,106Bombs defused

Most-used weapons

AK-4773,707
MAC-103,200
AWP2,419
MP92,090
Knife1,878
AUG896

Lifetime map wins

7,709inferno
7,599nuke
6,000vertigo
4,226dust2
3,277train
81office
75cbble
53lake

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

Faceit stats

Combat

2,209Matches
51%Win rate
0.93Avg K/D
72.2ADR
49%Headshot %

Clutches & streaks

37%1v1 clutch win
18%1v2 clutch win
12Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage32151%0.8613.0
Ancient23249%0.8713.7
Nuke16953%0.9313.9
Anubis16052%0.9113.1
Inferno11951%0.9614.7
Vertigo7757%0.9113.5
Dust26436%0.8413.6
Train4850%1.0815.6

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.

20.0%Headshot accuracy
30.5%Accuracy (enemy spotted)
35.2%Spray accuracy
76.2%Counter-strafing
10.5°Preaim
588msReaction time
51.3%T opening success
50.1%CT opening success
0.61Enemies flashed / flash
9.5%Flash assists
8.20HE damage / grenade
7.14Flashes / match

Recommended for you

Spend your practice time on Nuke

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

32% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–6-0.0124%30 Oct →
mirage13–110.0332%26 Oct →
anubis4–13-0.0513%24 Oct →
dust210–130.0334%24 Oct →
anubis13–80.0212%23 Oct →
dust213–80.0026%15 Oct →
anubis15–15-0.0321%15 Oct →
eldorado9–70.0815%14 Oct →
poseidon4–9-0.1214%14 Oct →
dust21–13-0.0420%10 Oct →
cache13–16-0.0319%8 Oct →
nuke6–13-0.0422%3 Oct →
dust213–8-0.0112%3 Oct →
nuke8–13-0.0819%30 Sept →
mirage16–130.0430%24 Sept →
ancient9–130.0112%22 Sept →
mirage13–8-0.018%20 Sept →
mirage13–8-0.036%17 Sept →
ancient5–13-0.0930%17 Sept →
inferno13–8-0.0020%16 Sept →
ancient13–80.0213%12 Sept →
anubis16–130.0116%11 Sept →
nuke13–8-0.0516%14 Aug →
nuke11–13-0.0319%9 Aug →
mirage13–10-0.0831%7 Aug →
nuke12–16-0.0428%7 Aug →
nuke2–13-0.0435%5 Aug →
nuke3–13-0.1022%3 Aug →
cache13–60.0317%2 Aug →
mirage8–130.0411%30 Jul →
ancient13–10-0.0113%30 Jul →
inferno10–13-0.1020%11 Jul →
cache13–90.0116%11 Jul →
dust25–13-0.0316%10 Jul →
anubis5–13-0.0427%10 Jul →
nuke13–11-0.0416%9 Jul →
mirage13–9-0.0313%9 Jul →
nuke2–13-0.0820%8 Jul →
mirage11–130.0317%7 Jul →
cache13–50.086%7 Jul →
cache8–13-0.0227%3 Jul →
dust213–3-0.0615%30 Jun →
office1–13-0.0716%29 Jun →
nuke4–130.1119%29 Jun →
inferno7–13-0.0022%27 Jun →
mirage6–13-0.0417%26 Jun →
nuke11–13-0.0226%26 Jun →
mirage1–13-0.115%25 Jun →
anubis9–13-0.0120%24 Jun →
mirage13–100.0323%24 Jun →
cache13–30.0323%16 Jun →
anubis2–13-0.086%16 Jun →
inferno6–130.0226%15 Jun →
nuke12–120.0621%9 Jun →
inferno5–13-0.0117%9 Jun →
ancient13–11-0.0514%1 Jun →
ancient13–70.1123%1 Jun →
ancient13–60.0914%31 May →
inferno13–8-0.0321%30 May →
ancient7–13-0.0814%29 May →
anubis13–10-0.0514%29 May →
nuke13–80.0623%29 May →
nuke2–13-0.0619%26 May →
ancient13–5-0.0118%26 May →
cache16–130.0019%19 May →
ancient6–130.0118%14 May →
ancient13–90.0721%11 May →
ancient16–14-0.0112%9 May →
anubis13–160.0219%1 May →
cache6–13-0.0816%1 May →
mirage13–20.1117%24 Apr →
nuke8–13-0.0213%22 Apr →
nuke4–13-0.0318%15 Apr →
anubis13–11-0.0414%15 Apr →
nuke13–70.0323%4 Apr →
ancient9–130.0120%3 Apr →
anubis6–13-0.0815%3 Apr →
mirage11–13-0.0213%3 Apr →
ancient6–13-0.0624%30 Mar →
mirage13–5-0.0313%30 Mar →
mirage11–13-0.0111%27 Mar →
anubis5–13-0.076%27 Mar →
anubis15–150.0320%26 Mar →
mirage8–13-0.065%26 Mar →
nuke13–60.0318%26 Mar →
nuke13–100.0115%26 Mar →
ancient13–80.0520%26 Mar →
inferno16–13-0.0322%25 Mar →
ancient13–9-0.0213%22 Mar →
anubis13–10.0414%22 Mar →
ancient15–15-0.0116%21 Mar →
nuke13–11-0.0115%21 Mar →
anubis10–13-0.0222%19 Mar →
anubis8–13-0.0222%13 Mar →
nuke8–13-0.0316%11 Mar →
nuke5–13-0.0021%10 Mar →
ancient13–110.0416%9 Mar →
overpass9–13-0.0129%6 Mar →
anubis13–11-0.0119%6 Mar →
anubis13–110.0111%6 Mar →

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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