migueL^^ — CS2 Stats

76561197981588853[U:1:21323125]✓ No bans

875Tracked matches55%Win rate2024Tracked since
CSDB Rating4.8 Developing
Premier CS Rating15,059Purple band · top ~28.2% of ranked players (population est.)
CSDB Leaderboard#10453 of 16226 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanSilver Elite
Ladder ranks via Leetify

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CSDB.GGmigueL^^FACEITLevel 5STANDINGTop 67.6% of rankedPREMIER15,059 · Purple bandcsdb.gg/stats

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Performance scores

Aim48
Positioning50
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY47494Last 10047%Win rateLLWLWWLWWL

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

Aim4.8
Aggression6.5
Utility5.8
Positioning5.0
Opening Duels2.1
Clutch2.0

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

Twistzz

Plays most like Twistzz 85% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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

T-side openings. Opening success drops from 48% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 597ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.8
Positioning5.0
Utility5.8
Mechanics3.8
Opening Duels2.3
Win Impact6.7

Composite 4.8/10 (Developing), 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-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time608ms−20ms
first ⅓ avg 628ms → last ⅓ avg 608ms
Headshot accuracy16.3%+2.8%
first ⅓ avg 13.5% → last ⅓ avg 16.3%

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

0.08Best rating — cache 13–0
130Biggest win — cache
5Longest win streak
L2Current streak
86In matches decided by ≤2 rounds
6Overtime games

Map breakdown

mirageBest map · 86% over 7cacheWeakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
infernoB40192148%-0.02
ancientC2381535%-0.02
cacheD1331023%-0.01
mirageS76186%-0.00
nukeB63350%-0.00
anubisS64267%0.00
overpass440100%0.02
boulder1010%-0.11

Across the last 100 tracked matches.

Faceit stats

Combat

164Matches
54%Win rate
0.82Avg K/D
63.1ADR
40%Headshot %

Clutches & streaks

30%1v1 clutch win
14%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Inferno4564%0.9012.4
Mirage3456%0.7611.8
Anubis2945%0.7912.5
Ancient2241%0.6810.9
Nuke1267%0.9511.8
Dust2757%1.059.6
Train540%0.7313.2
Vertigo1100%0.628.0

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.

16.3%Headshot accuracy
30.4%Accuracy (enemy spotted)
33.7%Spray accuracy
66.9%Counter-strafing
9.8°Preaim
597msReaction time
28.5%T opening success
48.3%CT opening success
0.56Enemies flashed / flash
7.0%Flash assists
11.77HE damage / grenade
4.07Flashes / 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 28.4928% — below the 40% mark we flag

Spend your practice time on Cache

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

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
inferno6–13-0.0122%17 Aug
inferno8–13-0.0123%17 Aug
inferno13–9-0.0014%10 Aug
inferno10–13-0.0115%10 Aug
inferno13–6-0.0621%9 Aug
inferno13–60.0219%9 Aug
inferno10–13-0.079%9 Aug
ancient13–11-0.0314%9 Aug
inferno13–5-0.0317%7 Aug
inferno7–13-0.0523%6 Aug
nuke13–60.059%6 Aug
ancient13–11-0.0114%6 Aug
inferno10–130.0215%6 Aug
inferno13–3-0.0217%4 Aug
cache13–60.0716%4 Aug
ancient13–5-0.0425%4 Aug
mirage13–7-0.019%1 Aug
boulder2–13-0.1118%31 Jul
nuke10–130.0021%31 Jul
ancient13–50.0115%30 Jul
cache15–150.0120%27 Jul
inferno13–7-0.0118%27 Jul
anubis11–13-0.0215%27 Jul
cache13–00.0827%27 Jul
ancient9–130.0715%26 Jul
cache13–90.0023%26 Jul
inferno3–13-0.0816%26 Jul
nuke13–90.019%25 Jul
cache9–13-0.046%21 Jul
ancient9–13-0.0515%21 Jul
cache8–13-0.0812%18 Jul
inferno9–13-0.0618%17 Jul
nuke13–110.0413%14 Jul
ancient13–5-0.0113%14 Jul
inferno9–130.0511%14 Jul
inferno13–50.037%13 Jul
anubis13–1-0.0113%13 Jul
inferno16–130.0312%13 Jul
inferno15–15-0.0512%12 Jul
cache9–13-0.0316%12 Jul
inferno13–9-0.027%12 Jul
inferno9–13-0.0417%11 Jul
inferno1–12-0.070%11 Jul
cache7–13-0.0416%11 Jul
inferno7–130.0019%10 Jul
ancient4–130.0313%10 Jul
inferno11–13-0.0026%9 Jul
cache11–13-0.0419%9 Jul
mirage5–13-0.0228%9 Jul
cache11–130.0115%8 Jul
inferno13–8-0.0212%8 Jul
mirage13–60.0514%8 Jul
inferno13–11-0.0112%7 Jul
cache2–5-0.0417%7 Jul
ancient9–13-0.0412%5 Jul
ancient3–13-0.0213%5 Jul
ancient13–1-0.0210%5 Jul
inferno13–10-0.0717%5 Jul
anubis8–130.0420%5 Jul
inferno4–13-0.0629%4 Jul
inferno10–2-0.0331%4 Jul
ancient0–12-0.0727%4 Jul
inferno6–13-0.0517%4 Jul
anubis13–70.018%4 Jul
inferno13–4-0.0113%3 Jul
mirage13–100.0318%3 Jul
inferno13–9-0.0313%3 Jul
ancient11–13-0.059%3 Jul
inferno7–13-0.0617%3 Jul
mirage13–4-0.0613%1 Jul
mirage13–11-0.0214%1 Jul
inferno7–90.0116%1 Jul
overpass9–60.0510%1 Jul
inferno13–50.0512%30 Jun
ancient13–16-0.0112%29 Jun
ancient12–120.0123%28 Jun
inferno6–13-0.086%28 Jun
nuke10–13-0.0118%27 Jun
ancient4–13-0.065%27 Jun
ancient7–130.018%27 Jun
nuke5–13-0.127%26 Jun
inferno13–11-0.0312%26 Jun
inferno13–7-0.0110%26 Jun
ancient6–13-0.0626%25 Jun
ancient13–70.0011%25 Jun
anubis13–7-0.0110%25 Jun
overpass13–100.0612%24 Jun
ancient13–9-0.0112%24 Jun
anubis13–110.006%24 Jun
inferno6–13-0.0126%24 Jun
ancient6–13-0.0514%15 Jun
overpass13–100.0119%15 Jun
overpass16–14-0.0318%14 Jun
mirage13–8-0.0018%12 Jun
ancient8–130.0214%11 Jun
cache9–130.0419%11 Jun
inferno8–130.0422%8 Jun
ancient15–150.0113%7 Jun
inferno13–6-0.057%7 Jun
cache4–13-0.0210%6 Jun

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 →