migs

migs — CS2 Stats

76561198031126916[U:1:70861188]Steam profile ↗✓ No bans

1,051Tracked matches48%Win rate2020Tracked since
CSDB Rating6.1 SolidAggressive Rifler
FaceitLevel 9 · 1,464 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGmigsFACEITLevel 9 · 1,464 ELOSTANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim89
Positioning58
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY57385Last 10057%Win rateTWLWWWLWWL

Last 10 vs previous 10: +20pp win rate · +0.05 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim8.9
Aggression8.4
Utility5.8
Positioning5.8
Opening Duels3.5
Clutch4.4

Sharp aimerExcellent counter-strafing

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

b1t

Plays most like b1t 94% playstyle similarity

Most alike: opening-duel success, 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

Strengths

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

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

Reaction time. 645ms 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

Aim8.9
Positioning5.8
Utility5.8
Mechanics8.8
Opening Duels3.5
Win Impact4.4

Composite 6.1/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time639ms−23ms
first ⅓ avg 662ms → last ⅓ avg 639ms
Headshot accuracy30.9%+3.7%
first ⅓ avg 27.1% → last ⅓ avg 30.9%

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.

Highlights

0.19Best rating — dust2 13–4
131Biggest win — cache
6Longest win streak
115In matches decided by ≤2 rounds
3Overtime games

Map breakdown

cacheBest map · 69% over 13mirageWeakest map · 54% over 28
MapGradePlayedRecordWin rateAvg rating
dust2A44251957%0.02
mirageB28151354%0.01
cacheS139469%0.03
infernoA74357%0.06
ancient42250%0.02
anubis32167%0.03
overpass1010%-0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (54% over 28). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

178Matches
57%Win rate
1.19Avg K/D
83.3ADR
54%Headshot %

Clutches & streaks

42%1v1 clutch win
16%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Dust25661%1.2116.1
Mirage4045%1.0817.6
Inferno2268%1.3817.0
Anubis1856%1.2216.8
Ancient1650%1.3818.8
Nuke875%0.9717.4
Cache667%0.7712.3
Vertigo520%1.0315.4

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.

30.5%Headshot accuracy
35.6%Accuracy (enemy spotted)
37.9%Spray accuracy
89.7%Counter-strafing
7.8°Preaim
645msReaction time
46.8%T opening success
41.5%CT opening success
0.64Enemies flashed / flash
8.5%Flash assists
7.61HE damage / grenade
8.50Flashes / match

Recent matches

MapScoreRatingHS%Date
cache12–120.0320%27 Aug
dust213–90.0523%27 Aug
inferno1–60.1567%27 Aug
mirage13–4-0.0226%26 Aug
ancient13–110.0828%25 Aug
dust213–50.1624%22 Aug
dust211–130.0333%22 Aug
dust213–40.1429%21 Aug
mirage13–70.0125%20 Aug
mirage4–13-0.0122%20 Aug
inferno13–9-0.0019%20 Aug
dust21–130.0260%20 Aug
dust29–130.0136%19 Aug
dust210–13-0.0148%19 Aug
dust213–100.0530%19 Aug
inferno13–40.0350%16 Aug
mirage11–130.0418%16 Aug
mirage1–13-0.0732%15 Aug
mirage4–13-0.0450%15 Aug
mirage13–20.0838%15 Aug
dust213–5-0.0034%14 Aug
dust26–13-0.0919%11 Aug
mirage9–130.0426%11 Aug
mirage13–7-0.0322%11 Aug
ancient13–16-0.0136%10 Aug
ancient10–13-0.0028%9 Aug
dust213–100.0126%9 Aug
dust213–60.1120%9 Aug
mirage10–130.0132%8 Aug
dust210–13-0.0140%6 Aug
inferno7–130.0317%4 Aug
dust213–90.0321%4 Aug
dust210–130.0020%3 Aug
ancient13–70.0026%2 Aug
dust210–130.0623%1 Aug
dust212–120.0828%30 Jul
dust213–110.0529%29 Jul
mirage13–80.0732%27 Jul
dust214–16-0.0530%27 Jul
mirage13–40.1716%27 Jul
mirage13–20.0422%27 Jul
dust27–130.0020%26 Jul
dust27–130.0534%25 Jul
cache13–10.0830%25 Jul
dust213–10-0.0122%25 Jul
mirage13–110.0718%23 Jul
mirage5–1-0.1125%23 Jul
mirage12–120.0520%23 Jul
dust213–9-0.0435%23 Jul
mirage13–100.0522%23 Jul
dust216–140.0028%22 Jul
mirage13–3-0.0115%22 Jul
mirage5–13-0.0718%21 Jul
mirage13–60.0320%21 Jul
mirage9–13-0.0516%19 Jul
dust29–13-0.0611%19 Jul
dust213–10.0627%18 Jul
dust213–50.0113%10 Jul
dust213–7-0.0428%10 Jul
mirage5–13-0.0018%9 Jul
mirage13–30.0014%5 Jul
cache13–110.0425%4 Jul
dust213–110.0421%4 Jul
anubis6–130.0138%2 Jul
mirage13–60.0421%2 Jul
dust213–11-0.0316%30 Jun
dust213–80.0228%28 Jun
dust213–40.1925%27 Jun
dust213–110.0224%25 Jun
cache13–50.0726%23 Jun
mirage5–130.0224%23 Jun
cache13–4-0.0417%22 Jun
dust213–40.0431%22 Jun
dust213–50.0527%21 Jun
inferno13–50.1036%21 Jun
cache13–4-0.0026%21 Jun
inferno6–130.0843%21 Jun
dust210–13-0.0314%16 Jun
cache0–10-0.0329%16 Jun
dust212–120.0322%11 Jun
dust21–130.0321%11 Jun
mirage13–7-0.0224%10 Jun
overpass2–13-0.0429%6 Jun
dust211–13-0.0734%6 Jun
dust213–11-0.0422%6 Jun
anubis13–5-0.0038%6 Jun
inferno13–110.0123%6 Jun
cache13–110.0223%23 May
dust26–13-0.0626%23 May
mirage7–13-0.0529%23 May
anubis13–100.0829%21 May
mirage4–13-0.0614%12 May
dust212–120.0433%12 May
cache7–13-0.0421%12 May
cache13–30.1730%11 May
cache13–50.1134%11 May
dust213–50.0039%11 May
cache13–70.0633%10 May
dust213–80.0028%10 May
cache11–13-0.0524%10 May

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
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