♥Mαιву♥ ♡♡

♥Mαιву♥ ♡♡ — CS2 Stats

FR76561198013660929[U:1:53395201]Steam profile ↗✓ No bans

813Tracked matches59%Win rate2020Tracked since
4,215Hours in CS37Hrs last 2 wks
CSDB Rating5.5 SolidSupport
Premier CS Rating13,859Blue band · top ~34.4% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Oct 2026 (3 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: 13,859 -1,090 4 Sept – 17 Oct · 9 days played
13,25214,949peak 14,9494 Sept17 Oct
14,999Peak Premier in tracked matches
39Days played since 2026-07-07

Premier CS Rating

  • 1,090 below peak (14,949)
  • -414 over 30 days · declining
  • Next: Purple band at 15,000 — 1,141 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-06
  • Light Blue band first seen 2026-09-06

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 5 among CSDB-tracked players (n=13,934), 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 5 medianLevel 6 medianvs Level 6
Headshot rate42.0%43.7%44.8%2.8% short
Shot accuracy18.7%12.0%12.4%above
Kill/death ratio0.861.021.030.17 short
Match win rate40.9%44.7%45.2%4.3% short

This profile matches the typical Level 6 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG♥Mαιву♥ ♡♡FACEITLevel 5STANDINGTop 67.6% of rankedPREMIER13,859 · Blue bandcsdb.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

Aim58
Positioning56
Utility70

0–100 skill scores via Leetify.

Recent form

HOT45–49–6Last 10045%Win rateLTWWWWWWWW

Last 10 vs previous 10: +30pp win rate · +0.03 avg rating · −1.5pp headshot accuracy · −52ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–1–1 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 544ms

Last 10

  • 8–1–1 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 582ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 608ms

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: Support — Utility contribution stands above the rest of this profile (+1.9 against its own average).

Aim5.8
Utility7.0
Positioning5.6
Opening Duels2.7
Clutch5.0

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 76% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 618ms 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

Aim5.8
Positioning5.6
Utility7.0
Mechanics4.5
Opening Duels4.5
Win Impact7.9

Composite 5.5/10 (Solid), 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-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time612ms−75ms
first ⅓ avg 686ms → last ⅓ avg 612ms
Headshot accuracy15.5%+2.5%
first ⅓ avg 13.0% → last ⅓ avg 15.5%

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

0.06Best match rating · 13–10 · inferno, 9 Sept →
100%Best headshot accuracy · 0–5 · inferno, 30 Aug →
414msFastest reaction time · 13–5 · inferno, 24 Aug →
13–2Biggest win · anubis, 18 Oct →

Across the last 100 tracked matches.

Highlights

9Longest win streak
8–6In matches decided by ≤2 rounds
4Overtime games

Map breakdown

cacheBest map · 67% over 12dust2Weakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
infernoC3313–2039%-0.04
anubisA159–660%-0.02
ancientB136–746%-0.02
cacheS128–467%-0.03
nukeC73–443%-0.02
dust2D61–517%-0.04
train—41–325%-0.02
vertigo—42–250%-0.01
mirage—41–325%-0.04
overpass—21–150%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

92,938Lifetime kills
0.86K/D
5,149Matches
40.9%Match win rate
42.0%Headshot %
18.7%Shot accuracy · Top 10% of Level 5 players
11,013MVPs
2,315Hours (in match)
4,929Bombs planted
814Bombs defused

Most-used weapons

AK-4725,958
AWP6,237
FAMAS3,328
P2502,934
MAC-102,934
MP92,607

Lifetime map wins

10,990inferno
10,077dust2
2,126nuke
1,697vertigo
1,660cbble
1,139train
273lake
236safehouse

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

Faceit stats

Combat

1,099Matches
49%Win rate
0.80Avg K/D
76.7ADR
37%Headshot %

Clutches & streaks

45%1v1 clutch win
25%1v2 clutch win
12Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Dust23949%0.8014.6
Inferno3155%0.9614.3
Anubis2650%0.9013.8
Ancient1675%1.1415.8
Cache1145%0.9615.6
Mirage933%0.7512.8
Nuke850%1.3016.9
Overpass560%0.6112.6

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.

15.6%Headshot accuracy
37.8%Accuracy (enemy spotted)
42.3%Spray accuracy
70.3%Counter-strafing
12.3°Preaim
618msReaction time
47.9%T opening success
48.0%CT opening success
0.66Enemies flashed / flash
6.6%Flash assists
8.15HE damage / grenade
11.99Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.2513° — above the 12° mark we flag

    Aim Training →
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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis14–16-0.0017%18 Oct →
inferno12–12-0.0212%18 Oct →
anubis13–2-0.0113%18 Oct →
cache13–10-0.0519%18 Oct →
train13–11-0.0011%18 Oct →
ancient13–2-0.0312%18 Oct →
inferno13–9-0.0313%17 Oct →
cache13–110.025%17 Oct →
cache13–11-0.0014%17 Oct →
cache7–10.0419%17 Oct →
vertigo13–5-0.046%16 Oct →
inferno7–13-0.0417%16 Oct →
ancient13–8-0.0619%15 Oct →
ancient10–13-0.079%13 Oct →
cache13–8-0.0018%12 Oct →
inferno9–13-0.0811%25 Sept →
dust210–13-0.0418%25 Sept →
nuke14–16-0.0311%24 Sept →
nuke13–4-0.0522%24 Sept →
dust213–100.0321%24 Sept →
nuke11–130.069%24 Sept →
mirage13–4-0.0515%24 Sept →
inferno13–7-0.0314%24 Sept →
mirage11–13-0.0120%24 Sept →
anubis13–10-0.0222%21 Sept →
inferno9–130.0517%21 Sept →
inferno13–100.0610%9 Sept →
inferno3–13-0.0733%8 Sept →
nuke6–13-0.0126%8 Sept →
ancient5–13-0.0626%7 Sept →
inferno8–130.009%7 Sept →
cache13–7-0.0719%4 Sept →
inferno13–11-0.046%4 Sept →
ancient13–11-0.0411%4 Sept →
cache15–15-0.0220%4 Sept →
ancient8–10.035%3 Sept →
anubis13–9-0.0616%3 Sept →
inferno13–20.0325%3 Sept →
cache11–13-0.0717%1 Sept →
inferno0–5-0.03100%30 Aug →
inferno13–7-0.096%29 Aug →
ancient13–20.0313%29 Aug →
ancient8–130.0016%29 Aug →
overpass11–13-0.0521%24 Aug →
anubis13–70.0621%24 Aug →
inferno13–50.0213%24 Aug →
inferno4–13-0.0117%18 Aug →
inferno10–13-0.0413%18 Aug →
anubis13–7-0.0413%18 Aug →
inferno13–8-0.0412%17 Aug →
dust26–13-0.0728%5 Aug →
inferno4–13-0.0712%5 Aug →
ancient7–13-0.0613%5 Aug →
vertigo5–130.0015%5 Aug →
inferno7–13-0.058%4 Aug →
ancient8–13-0.0415%4 Aug →
nuke13–8-0.0614%4 Aug →
anubis7–13-0.0219%4 Aug →
dust27–13-0.0611%4 Aug →
inferno10–13-0.0218%4 Aug →
anubis10–130.008%4 Aug →
inferno3–13-0.098%4 Aug →
dust29–13-0.0717%3 Aug →
inferno12–12-0.0215%3 Aug →
vertigo7–13-0.068%3 Aug →
inferno10–13-0.0213%3 Aug →
inferno7–13-0.077%3 Aug →
cache1–13-0.040%3 Aug →
inferno5–13-0.134%2 Aug →
mirage6–13-0.0712%30 Jul →
inferno13–10-0.0113%30 Jul →
anubis7–13-0.0025%30 Jul →
overpass13–60.0312%30 Jul →
vertigo13–70.0514%30 Jul →
anubis9–13-0.0714%26 Jul →
inferno13–4-0.118%26 Jul →
train6–13-0.0122%25 Jul →
anubis10–13-0.0417%25 Jul →
anubis13–6-0.009%24 Jul →
inferno13–4-0.054%22 Jul →
cache8–13-0.0518%22 Jul →
anubis13–11-0.058%20 Jul →
inferno9–13-0.0210%20 Jul →
train3–13-0.0529%19 Jul →
train6–13-0.0013%19 Jul →
anubis13–11-0.0512%19 Jul →
cache13–100.0013%19 Jul →
nuke13–9-0.0219%18 Jul →
ancient16–120.0211%18 Jul →
inferno10–13-0.1110%17 Jul →
inferno13–4-0.018%17 Jul →
inferno12–12-0.0516%16 Jul →
ancient7–13-0.0016%16 Jul →
inferno13–9-0.0217%15 Jul →
cache13–11-0.1023%15 Jul →
anubis13–6-0.0410%13 Jul →
mirage8–13-0.037%9 Jul →
nuke12–12-0.0313%8 Jul →
ancient12–12-0.0310%8 Jul →
dust25–13-0.0513%7 Jul →

Match data via Leetify.

Recent teammates

Milestones

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

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