m1gu

m1gu — CS2 Stats

FI76561198380780159[U:1:420514431]Steam profile ↗✓ No bans

928Tracked matches43%Win rate2021Tracked since
CSDB Rating3.5 LearningSupport
Premier CS Rating13,404Blue band · top ~36.9% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Oct 2026 (11 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: 13,404 -1,187 26 Nov – 3 Oct · 15 days played
12,95415,437peak 15,43726 Nov3 Oct
15,752Peak Premier in tracked matches
28Days played since 2025-11-09

Premier CS Rating

  • 2,033 below peak (15,437)
  • -487 over 30 days · declining
  • Next: Purple band at 15,000 — 1,596 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.

Share this profile

CSDB.GGm1guFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER13,404 · Blue bandcsdb.gg/stats

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Performance scores

Aim43
Positioning33
Utility46

0–100 skill scores via Leetify.

Recent form

COLD45–47–8Last 10045%Win rateLLLLWLWWLL

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · +1.2pp headshot accuracy · +0ms reaction

Win rate down 20pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 617ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 606ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 605ms

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 (+2.5 against its own average).

Aim4.3
Utility4.6
Positioning3.3
Opening Duels0.2
Clutch0.4

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

ZywOo

Plays most like ZywOo 83% 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. 637ms 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

Aim4.3
Positioning3.3
Utility4.6
Mechanics5.2
Opening Duels0.0
Win Impact2.8

Composite 3.5/10 (Learning), 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-0.02−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time619ms−30ms
first ⅓ avg 649ms → last ⅓ avg 619ms
Headshot accuracy15.9%−2.9%
first ⅓ avg 18.8% → last ⅓ avg 15.9%

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

0.15Best match rating · 13–0 · inferno, 28 Jan →
43%Best headshot accuracy · 13–1 · mirage, 24 Nov →
438msFastest reaction time · 2–9 · inferno, 12 Sept →
13–0Biggest win · inferno, 28 Jan →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L4Current streak
8–5In matches decided by ≤2 rounds
6Overtime games

Map breakdown

dust2Best map · 71% over 7mirageWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
infernoC2511–1444%-0.01
nukeB2010–1050%-0.02
ancientC167–944%-0.03
mirageD103–730%-0.02
overpassB105–550%0.03
dust2S75–271%-0.01
anubis—40–40%-0.04
cache—20–20%-0.03
vertigo—22–0100%0.01
rooftop—20–20%-0.09
poseidon—11–0100%0.00
train—11–0100%-0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (30% over 10). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

41Matches
41%Win rate
1.18Avg K/D
85.4ADR
43%Headshot %

Clutches & streaks

22%1v1 clutch win
26%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Anubis617%1.3914.3
Inferno540%0.8814.6
Dust2475%1.7819.0
Vertigo333%1.2215.0
Mirage30%0.5910.7
Nuke250%0.9011.0
Ancient1100%1.5819.0

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.

16.2%Headshot accuracy
30.8%Accuracy (enemy spotted)
32.1%Spray accuracy
73.4%Counter-strafing
11.2°Preaim
637msReaction time
28.2%T opening success
29.4%CT opening success
0.45Enemies flashed / flash
6.2%Flash assists
10.60HE damage / grenade
5.29Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4539 — below the 0.5 mark we flag

    Grenade Lineups →
  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 28.2086% — below the 40% mark we flag

Spend your practice time on Mirage

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis5–13-0.042%3 Oct →
mirage2–130.0120%12 Sept →
anubis4–13-0.0612%12 Sept →
inferno2–9-0.0020%12 Sept →
ancient16–13-0.0213%6 Sept →
inferno7–13-0.0517%6 Sept →
nuke13–9-0.0318%6 Sept →
ancient13–7-0.1017%6 Sept →
nuke5–13-0.0119%3 Sept →
ancient11–13-0.0122%3 Sept →
mirage8–13-0.0018%3 Sept →
inferno13–5-0.0116%3 Sept →
cache6–130.0416%3 Sept →
dust24–00.007%3 Sept →
dust28–13-0.0319%2 Sept →
mirage11–13-0.059%30 Aug →
dust213–2-0.0315%30 Aug →
nuke13–60.0020%30 Aug →
anubis9–13-0.018%30 Aug →
inferno13–8-0.0418%30 Aug →
ancient13–7-0.0212%25 Aug →
cache1–13-0.106%25 Aug →
dust213–70.0223%23 Aug →
inferno9–20.094%23 Aug →
inferno13–100.0418%16 Aug →
nuke10–13-0.0017%16 Aug →
vertigo9–3-0.0521%13 Feb →
nuke7–90.028%13 Feb →
inferno8–8-0.0214%13 Feb →
overpass9–50.1338%13 Feb →
nuke5–13-0.0419%30 Jan →
dust28–13-0.0617%29 Jan →
nuke11–13-0.0523%29 Jan →
poseidon9–70.0024%29 Jan →
nuke8–8-0.1819%29 Jan →
inferno13–00.1524%28 Jan →
mirage10–13-0.0513%28 Jan →
dust213–50.0624%28 Jan →
anubis9–13-0.0413%28 Jan →
ancient13–100.017%28 Jan →
nuke13–80.0517%17 Jan →
nuke7–13-0.039%16 Jan →
ancient8–130.0314%16 Jan →
ancient4–13-0.0519%16 Jan →
inferno13–50.0123%16 Jan →
mirage3–13-0.0118%16 Jan →
overpass10–13-0.036%16 Jan →
nuke5–13-0.079%14 Jan →
inferno13–9-0.0318%14 Jan →
mirage15–150.0118%14 Jan →
ancient8–13-0.0415%14 Jan →
rooftop4–9-0.1420%14 Jan →
inferno13–11-0.0126%12 Jan →
ancient13–6-0.0316%12 Jan →
inferno13–70.1017%19 Dec →
ancient7–13-0.0629%19 Dec →
overpass2–13-0.0611%19 Dec →
nuke8–8-0.0422%19 Dec →
nuke13–100.0316%18 Dec →
inferno7–13-0.0811%18 Dec →
overpass9–130.0237%18 Dec →
overpass13–110.0015%18 Dec →
inferno4–9-0.0414%18 Dec →
dust213–4-0.0024%16 Dec →
overpass13–16-0.0116%16 Dec →
nuke13–9-0.0610%16 Dec →
inferno13–20.0015%15 Dec →
mirage13–11-0.0414%15 Dec →
ancient13–11-0.0412%15 Dec →
rooftop6–9-0.0411%15 Dec →
inferno8–8-0.0721%15 Dec →
inferno9–13-0.0514%15 Dec →
ancient9–13-0.0415%11 Dec →
nuke13–90.0427%11 Dec →
inferno15–15-0.0022%11 Dec →
train13–7-0.0413%11 Dec →
ancient13–40.0510%11 Dec →
inferno11–13-0.0222%8 Dec →
ancient9–13-0.0518%8 Dec →
overpass5–13-0.0118%8 Dec →
overpass13–80.1315%8 Dec →
ancient10–13-0.0526%8 Dec →
inferno6–13-0.099%3 Dec →
nuke13–11-0.0311%3 Dec →
inferno9–13-0.0517%3 Dec →
ancient7–13-0.0518%3 Dec →
nuke13–110.0818%3 Dec →
mirage13–11-0.0420%26 Nov →
inferno8–130.0122%26 Nov →
inferno15–15-0.0016%26 Nov →
nuke13–3-0.0520%24 Nov →
overpass13–60.0339%24 Nov →
mirage13–1-0.0243%24 Nov →
inferno13–10-0.0215%24 Nov →
overpass13–50.1026%19 Nov →
inferno7–13-0.0411%19 Nov →
mirage7–130.0122%19 Nov →
nuke13–7-0.0516%19 Nov →
vertigo9–20.0722%19 Nov →
nuke15–15-0.0416%9 Nov →

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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