MiiGaGa

MiiGaGa — CS2 Stats

76561198189362281[U:1:229096553]Steam profile ↗✓ No bans

1,049Tracked matches33%Win rate2020Tracked since
3,864Hours in CS4Hrs last 2 wks
CSDB Rating4.9 DevelopingPositional Player
Premier CS Rating10,573Blue band · top ~51.9% of ranked players (population est.)
FaceitLevel 6Top 54.0% of ranked FACEIT players
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: 10,573 -8,029 8 Apr – 30 Oct · 20 days played
10,57318,602peak 18,6028 Apr30 Oct
18,602Peak Premier in tracked matches
1,331Highest Faceit ELO seen on CSDB
32Days played since 2026-04-08

Premier CS Rating

  • 8,029 below peak (18,602)
  • -534 over 30 days · declining
  • Next: Purple band at 15,000 — 4,427 to go
  • Reached: 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. 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 Level 6 among CSDB-tracked players (n=13,496), 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 6 medianLevel 7 medianvs Level 7
Headshot rate48.8%44.8%45.7%above
Shot accuracy12.9%12.4%12.7%meets
Kill/death ratio1.161.031.05above
Match win rate40.4%45.2%45.7%5.3% short

This profile matches the typical Level 7 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMiiGaGaFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER10,573 · Blue bandPEAK ELO1,331csdb.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

Aim70
Positioning58
Utility48

0–100 skill scores via Leetify.

Recent form

COLD35–64–1Last 10035%Win rateWLLLWLLLLW

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · −1.9pp headshot accuracy · −0ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 584ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 582ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 582ms

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 (+1.8 against its own average).

Aim7.0
Utility4.8
Positioning5.8
Opening Duels2.7
Clutch2.6

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

iM

Plays most like iM 93% playstyle similarity

Most alike: opening-duel success, utility contribution.

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

Reaction time. 574ms 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

Aim7.0
Positioning5.8
Utility4.8
Mechanics6.2
Opening Duels3.0
Win Impact0.0

Composite 4.9/10 (Developing), 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-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time579ms−99ms
first ⅓ avg 677ms → last ⅓ avg 579ms
Headshot accuracy18.5%+3.0%
first ⅓ avg 15.6% → last ⅓ avg 18.5%

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

0.11Best match rating · 13–6 · nuke, 21 Aug →
50%Best headshot accuracy · 0–13 · nuke, 21 Aug →
266msFastest reaction time · 2–13 · inferno, 23 May →
13–0Biggest win · nuke, 3 Jul →

Across the last 100 tracked matches.

Highlights

3Longest win streak
5–9In matches decided by ≤2 rounds
7Overtime games

Map breakdown

dust2Best map · 50% over 12ancientWeakest map · 20% over 15
MapGradePlayedRecordWin rateAvg rating
nukeB2110–1148%0.00
anubisC176–1135%-0.02
cacheC167–944%-0.00
ancientD153–1220%-0.02
dust2B126–650%-0.02
infernoD82–625%-0.04
overpassD51–420%-0.01
mirage—40–40%-0.01
italy—10–10%-0.01
train—10–10%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

121,727Lifetime kills
1.16K/D · Top 25% of Level 6 players
5,207Matches
40.4%Match win rate
48.8%Headshot % · Top 50% of Level 6 players
12.9%Shot accuracy · Top 50% of Level 6 players
9,503MVPs
2,157Hours (in match)
6,358Bombs planted
1,091Bombs defused

Most-used weapons

AK-4739,205
SG 5538,935
AWP6,181
AUG5,982
P2502,858

Lifetime map wins

6,853inferno
5,914dust2
5,080nuke
3,529train
2,408cbble
1,490vertigo
171lake
164office

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

Faceit stats

Combat

439Matches
49%Win rate
0.94Avg K/D
77.3ADR
40%Headshot %

Clutches & streaks

33%1v1 clutch win
26%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Nuke6461%1.0616.8
Anubis4556%1.1716.5
Dust23727%0.8613.5
Ancient3444%0.9012.5
Inferno2548%0.9014.4
Train2264%0.9413.9
Overpass1050%1.0314.5
Mirage838%0.7713.5

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.

17.1%Headshot accuracy
38.0%Accuracy (enemy spotted)
40.4%Spray accuracy
77.9%Counter-strafing
11.7°Preaim
574msReaction time
36.3%T opening success
47.6%CT opening success
0.50Enemies flashed / flash
5.1%Flash assists
8.54HE damage / grenade
7.77Flashes / 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

    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 36.2724% — below the 40% mark we flag

Spend your practice time on Ancient

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

20% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–100.0119%30 Oct →
cache4–130.018%30 Oct →
ancient10–13-0.0217%3 Oct →
anubis0–13-0.1118%3 Oct →
inferno13–110.008%3 Oct →
cache11–130.0816%2 Oct →
mirage6–13-0.0224%2 Oct →
anubis8–13-0.0218%2 Oct →
mirage8–13-0.069%25 Sept →
nuke13–110.0416%25 Sept →
inferno6–13-0.0615%25 Sept →
cache13–7-0.0723%25 Sept →
cache4–13-0.0523%22 Sept →
anubis13–30.0512%10 Sept →
cache13–60.0421%10 Sept →
dust214–16-0.0118%8 Sept →
ancient7–13-0.107%5 Sept →
nuke10–130.018%5 Sept →
cache11–130.0023%5 Sept →
inferno10–13-0.0424%5 Sept →
dust213–9-0.0025%5 Sept →
ancient6–13-0.059%5 Sept →
nuke13–30.0313%5 Sept →
anubis14–16-0.0218%5 Sept →
dust27–130.0123%4 Sept →
nuke13–5-0.0113%4 Sept →
ancient5–13-0.0625%22 Aug →
anubis13–9-0.0513%22 Aug →
anubis4–13-0.0322%22 Aug →
mirage11–130.0119%22 Aug →
dust213–50.0926%22 Aug →
nuke13–60.1125%21 Aug →
nuke0–13-0.0750%21 Aug →
ancient6–13-0.0420%20 Aug →
ancient11–13-0.0415%20 Aug →
nuke13–16-0.0113%20 Aug →
inferno9–130.0019%19 Aug →
ancient11–13-0.0523%19 Aug →
ancient13–11-0.027%4 Jul →
dust213–100.0522%4 Jul →
anubis7–13-0.1112%3 Jul →
nuke13–00.0325%3 Jul →
nuke4–13-0.056%1 Jul →
overpass13–8-0.0110%1 Jul →
cache6–13-0.049%1 Jul →
cache13–1-0.0115%1 Jul →
anubis13–70.0520%1 Jul →
anubis13–1-0.0110%1 Jul →
dust27–13-0.0327%24 Jun →
overpass6–130.0316%24 Jun →
nuke9–13-0.0122%24 Jun →
ancient5–13-0.057%24 Jun →
anubis12–16-0.0116%24 Jun →
anubis8–130.0214%24 Jun →
nuke13–80.029%24 Jun →
dust216–14-0.0510%24 Jun →
nuke13–10.0210%13 Jun →
anubis7–13-0.0121%13 Jun →
nuke4–13-0.0614%13 Jun →
overpass1–13-0.0729%13 Jun →
dust213–10-0.0414%23 May →
inferno2–13-0.120%23 May →
italy11–13-0.0122%23 May →
anubis13–80.0014%23 May →
train3–13-0.0424%23 May →
nuke6–13-0.1124%23 May →
ancient10–13-0.0417%23 May →
overpass2–130.0011%23 May →
overpass6–13-0.0016%22 May →
cache5–13-0.0024%22 May →
cache8–13-0.0527%22 May →
cache10–13-0.0515%22 May →
nuke10–13-0.0113%21 May →
cache13–80.0220%21 May →
nuke16–140.0319%20 May →
anubis7–13-0.076%15 May →
nuke12–16-0.0119%15 May →
mirage11–130.0211%15 May →
ancient13–100.0610%11 May →
cache12–120.0219%9 May →
cache13–30.0210%9 May →
cache13–5-0.0123%7 May →
cache13–20.0121%7 May →
anubis9–13-0.0211%21 Apr →
nuke6–130.0310%21 Apr →
ancient9–130.017%18 Apr →
nuke13–70.0518%18 Apr →
ancient8–130.0321%18 Apr →
nuke13–100.0219%18 Apr →
ancient13–60.0711%18 Apr →
ancient9–13-0.0111%16 Apr →
dust25–13-0.0718%11 Apr →
dust25–13-0.0827%11 Apr →
inferno4–13-0.090%10 Apr →
dust213–9-0.083%10 Apr →
anubis6–13-0.0729%10 Apr →
inferno8–13-0.079%10 Apr →
inferno13–50.0826%8 Apr →
dust24–13-0.0720%8 Apr →
nuke3–13-0.068%8 Apr →

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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