migy — CS2 Stats

76561198184875197[U:1:224609469]

752Tracked matches40%Win rate2020Tracked since
CSDB Rating5.5 SolidHybrid Rifler
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGmigyFACEITLevel 9STANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim78
Positioning59
Utility22

0–100 skill scores via Leetify.

Recent form

STEADY48493Last 10048%Win rateWLLWLWLWLL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim7.8
Aggression6.2
Utility2.2
Positioning5.9
Opening Duels2.1
Clutch3.0

Excellent counter-strafingStrong CT-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 85% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 47% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 601ms 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

Aim7.8
Positioning5.9
Utility2.2
Mechanics8.5
Opening Duels2.1
Win Impact1.7

Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time592ms−9ms
first ⅓ avg 601ms → last ⅓ avg 592ms
Headshot accuracy17.7%−2.5%
first ⅓ avg 20.2% → last ⅓ avg 17.7%

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.

Highlights

0.18Best rating — mirage 13–3
131Biggest win — overpass
8Longest win streak
137In matches decided by ≤2 rounds
19Overtime games

Map breakdown

anubisBest map · 75% over 8dust2Weakest map · 0% over 6
MapGradePlayedRecordWin rateAvg rating
mirageC24101442%0.01
ancientA23131057%0.00
infernoC125742%-0.03
vertigoA116555%0.02
anubisS86275%0.01
nukeB84450%0.03
overpassB63350%-0.00
dust2D6060%-0.03
train21150%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (0% over 6). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

744Matches
55%Win rate
1.15Avg K/D
80.2ADR
50%Headshot %

Clutches & streaks

35%1v1 clutch win
31%1v2 clutch win
13Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage8355%1.2118.4
Ancient4252%1.0716.3
Anubis3741%0.9915.1
Vertigo2458%1.0616.0
Inferno2236%0.9214.3
Overpass1450%1.2017.3
Dust21217%0.8014.5
Nuke1233%1.1416.1

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.

17.5%Headshot accuracy
35.4%Accuracy (enemy spotted)
40.3%Spray accuracy
88.5%Counter-strafing
9.5°Preaim
601msReaction time
30.6%T opening success
46.5%CT opening success
0.69Enemies flashed / flash
4.4%Flash assists
6.66HE damage / grenade
10.12Flashes / 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 30.6019% — below the 40% mark we flag

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.

0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–4-0.0118%5 Jul
mirage4–13-0.0817%31 Dec
mirage10–130.0621%31 Dec
inferno13–70.0417%18 Dec
inferno11–13-0.0117%21 Aug
overpass13–100.0220%20 Aug
dust27–13-0.067%19 Mar
anubis16–130.0912%12 Mar
ancient9–130.0215%27 Feb
inferno13–16-0.0420%27 Feb
mirage10–130.0720%27 Feb
nuke12–160.0518%26 Feb
ancient13–80.0421%26 Feb
mirage7–13-0.0213%26 Feb
ancient14–16-0.079%5 Feb
dust27–13-0.0413%5 Feb
mirage13–60.0120%30 Jan
train10–13-0.0511%24 Jan
ancient9–13-0.0226%17 Jan
train13–11-0.0131%15 Jan
inferno13–10-0.0118%15 Jan
vertigo13–4-0.0223%23 Dec
nuke13–80.0316%22 Oct
ancient3–13-0.028%21 Oct
inferno10–13-0.0516%19 Oct
anubis19–16-0.0616%15 Oct
dust24–13-0.0530%15 Oct
nuke13–90.0428%15 Oct
dust216–190.0413%15 Oct
mirage4–13-0.0320%10 Oct
ancient13–8-0.0413%10 Oct
ancient10–13-0.0118%8 Oct
ancient13–110.0721%28 Sept
mirage17–190.0136%27 Sept
inferno13–8-0.0411%8 Sept
dust210–13-0.0517%2 Sept
nuke13–90.0420%2 Sept
ancient4–13-0.0523%2 Sept
inferno8–130.0133%1 Sept
mirage13–110.0133%24 Aug
mirage15–150.0218%10 Aug
mirage13–110.0124%10 Aug
dust210–130.0028%10 Aug
nuke11–13-0.0118%10 Aug
inferno13–110.0421%10 Aug
nuke13–40.1210%10 Aug
ancient13–110.0214%9 Aug
vertigo15–150.0119%9 Aug
mirage8–13-0.0320%9 Aug
ancient13–9-0.0224%5 May
overpass7–13-0.0818%11 Apr
anubis8–20.0630%4 Apr
vertigo13–110.0216%3 Apr
inferno13–9-0.1318%2 Apr
ancient6–130.0410%18 Mar
overpass13–100.0121%8 Mar
vertigo2–130.0516%8 Mar
overpass9–130.0521%8 Mar
ancient13–80.0311%8 Mar
mirage13–30.1823%8 Mar
ancient4–13-0.0420%7 Mar
vertigo11–130.0115%6 Mar
mirage16–140.0322%6 Mar
mirage11–13-0.0417%6 Mar
inferno15–150.0021%6 Mar
mirage16–120.0424%5 Mar
nuke3–13-0.0728%4 Mar
mirage10–130.0125%2 Mar
anubis16–14-0.0114%1 Mar
mirage8–130.0416%1 Mar
ancient16–12-0.0218%29 Feb
anubis4–13-0.0617%29 Feb
ancient13–50.0427%27 Feb
overpass8–130.0628%27 Feb
vertigo13–50.0428%26 Feb
inferno1–13-0.120%25 Feb
vertigo8–13-0.0317%24 Feb
mirage8–13-0.0315%22 Feb
mirage10–13-0.0317%22 Feb
nuke11–130.0622%22 Feb
overpass13–1-0.0720%21 Feb
vertigo16–130.0624%19 Feb
mirage16–140.0119%17 Feb
ancient10–13-0.0014%11 Feb
mirage10–130.0526%9 Feb
vertigo7–13-0.0319%9 Feb
anubis13–110.0315%9 Feb
vertigo13–50.0319%6 Feb
vertigo13–90.1023%2 Feb
mirage13–30.0218%1 Feb
mirage13–100.0325%1 Feb
ancient13–20.0013%1 Feb
mirage13–8-0.0131%1 Feb
ancient16–140.0118%26 Jan
inferno2–13-0.0817%26 Jan
ancient16–12-0.0422%26 Jan
anubis16–140.0124%26 Jan
ancient13–100.0628%26 Jan
ancient7–130.0223%19 Jan
anubis5–130.0224%19 Jan

Match data via Leetify.

Recent teammates

Milestones

500 Matches
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