XxAWES0MEC00LBoy69xX420Edition

XxAWES0MEC00LBoy69xX420Edition — CS2 Stats

76561199217337059[U:1:1257071331]Steam profile ↗✓ No bans

403Tracked matches41%Win rate2023Tracked since
CSDB Rating3.8 LearningClutch Specialist
Premier CS Rating7,782Light Blue band · top ~65.5% of ranked players (population est.)
CSDB Leaderboard#23236 of 30952 tracked
Ladder ranks via Leetify

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CSDB.GGXxAWES0MEC00LBoy69xX420Ed…PREMIER7,782 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim63
Positioning43
Utility10

0–100 skill scores via Leetify.

Recent form

STEADY41563Last 10041%Win rateLLLLLLWWWW

Last 10 vs previous 10: +0pp win rate · -0.00 avg rating

Player DNA

Primary style: Clutch SpecialistLate-round 1vX conversion well above par.

Aim6.3
Aggression4.7
Utility1.0
Positioning4.3
Opening Duels1.0
Clutch9.4

Limited utility dependenceReliable in 1v1s

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 78% playstyle similarity

Most alike: opening-fight frequency, 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.

Reaction time. 664ms 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

Aim6.3
Positioning4.3
Utility1.0
Mechanics6.9
Opening Duels1.0
Win Impact2.1

Composite 3.8/10 (Learning), 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 rating0.00+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time668ms−3ms
first ⅓ avg 671ms → last ⅓ avg 668ms
Headshot accuracy21.2%+4.1%
first ⅓ avg 17.1% → last ⅓ avg 21.2%

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

0.14Best rating — nuke 13–11
134Biggest win — nuke
4Longest win streak
L6Current streak
117In matches decided by ≤2 rounds
9Overtime games

Map breakdown

mirageBest map · 62% over 13cacheWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
dust2C1661038%-0.01
infernoC156940%0.02
cacheD1441029%0.02
anubisD134931%-0.01
mirageA138562%0.02
ancientC114736%-0.00
nukeA106460%-0.00
train31233%-0.01
vertigo31233%-0.00
boulder110100%0.06
overpass1010%-0.03

Across the last 100 tracked matches.

Faceit stats

Combat

4Matches
50%Win rate
1.05Avg K/D
78.3ADR
54%Headshot %

Clutches & streaks

67%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage250%1.0613.5
Inferno10%1.0014.0
Vertigo1100%1.0716.0

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.

20.7%Headshot accuracy
34.3%Accuracy (enemy spotted)
32.0%Spray accuracy
81.3%Counter-strafing
9.8°Preaim
664msReaction time
38.2%T opening success
30.1%CT opening success
0.19Enemies flashed / flash
4.5%Flash assists
4.23HE damage / grenade
0.93Flashes / 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 0.1895 — 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 38.1991% — 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.

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
ancient6–130.0820%29 Aug
inferno7–13-0.0430%29 Aug
ancient8–13-0.0516%27 Aug
cache8–13-0.0131%27 Aug
anubis9–13-0.0623%27 Aug
anubis2–130.0226%26 Aug
inferno13–80.0519%26 Aug
cache16–140.0217%25 Aug
dust213–90.0716%25 Aug
nuke13–40.0016%25 Aug
anubis7–130.0614%25 Aug
mirage13–16-0.0115%24 Aug
inferno13–4-0.0112%24 Aug
dust215–150.0315%24 Aug
cache13–70.047%24 Aug
mirage13–70.0625%24 Aug
cache6–130.0719%24 Aug
nuke3–13-0.0331%23 Aug
dust213–8-0.0213%23 Aug
anubis0–13-0.0660%23 Aug
cache10–13-0.0020%23 Aug
mirage13–4-0.0225%23 Aug
ancient6–20.1017%23 Aug
dust27–13-0.0327%22 Aug
inferno16–130.0718%22 Aug
cache11–13-0.0024%22 Aug
dust210–13-0.0224%21 Aug
nuke13–9-0.0016%21 Aug
inferno5–130.0130%21 Aug
ancient10–13-0.0419%20 Aug
dust27–13-0.1411%19 Aug
anubis6–13-0.0213%19 Aug
cache5–13-0.0233%19 Aug
cache13–10-0.0424%19 Aug
nuke2–13-0.0211%18 Aug
mirage13–100.0218%18 Aug
inferno7–130.0418%18 Aug
anubis9–13-0.0213%18 Aug
ancient13–10-0.029%18 Aug
train13–90.0613%17 Aug
cache10–130.0121%17 Aug
ancient6–13-0.0513%17 Aug
nuke13–110.1435%16 Aug
cache10–130.0529%16 Aug
anubis2–130.0520%16 Aug
train6–130.0332%16 Aug
dust26–130.0716%16 Aug
mirage13–70.0419%16 Aug
inferno10–130.0128%15 Aug
dust213–100.0430%15 Aug
inferno11–130.0229%15 Aug
anubis13–90.0010%15 Aug
mirage11–130.0326%14 Aug
nuke13–11-0.0011%13 Aug
ancient13–8-0.0016%13 Aug
dust28–130.0119%12 Aug
cache9–130.1125%12 Aug
mirage13–90.1026%12 Aug
dust213–90.0815%11 Aug
mirage13–11-0.037%11 Aug
inferno3–130.0138%9 Aug
anubis16–14-0.0114%9 Aug
inferno11–130.0622%7 Aug
dust29–13-0.0714%7 Aug
dust213–9-0.0314%5 Aug
mirage10–13-0.0415%3 Aug
dust27–13-0.0318%3 Aug
ancient4–13-0.0218%3 Aug
boulder13–40.0629%1 Aug
vertigo13–6-0.0318%1 Aug
mirage13–110.0116%1 Aug
nuke6–13-0.124%1 Aug
anubis16–13-0.0114%31 Jul
anubis8–130.0115%31 Jul
cache13–60.0523%31 Jul
nuke13–11-0.0512%31 Jul
dust213–11-0.0616%31 Jul
mirage11–130.0817%31 Jul
dust211–130.0718%30 Jul
inferno16–14-0.0020%30 Jul
vertigo12–120.0025%30 Jul
inferno5–13-0.0129%30 Jul
nuke2–130.0119%30 Jul
ancient7–130.0325%29 Jul
inferno13–80.0018%29 Jul
anubis15–150.0019%29 Jul
cache11–130.0517%29 Jul
ancient13–5-0.026%29 Jul
train0–13-0.1129%28 Jul
overpass3–13-0.0317%28 Jul
cache6–13-0.045%28 Jul
mirage13–8-0.0520%28 Jul
vertigo4–130.0223%28 Jul
inferno3–9-0.0111%28 Jul
ancient10–13-0.018%28 Jul
anubis16–14-0.0612%28 Jul
dust24–13-0.0616%28 Jul
nuke13–100.0418%28 Jul
mirage10–130.0814%27 Jul
inferno13–110.0911%27 Jul

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →