mdLLL — CS2 Stats

76561197960270614[U:1:4886]

3,097Tracked matches47%Win rate2020Tracked since
CSDB Rating7.1 StrongAggressive Rifler
CSDB Leaderboard#16475 of 19256 tracked
FaceitLevel 10 · 2,612 ELOTop 12.4% of ranked FACEIT players
WingmanThe Global Elite
Ladder ranks via Leetify

Rating over time

2,612Peak Faceit ELO on CSDB
1Days observed since 2026-08-28

Faceit ELO

  • At peak — 2,612
  • Next: 3,000 ELO at 3,000 388 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
  • 2,500 ELO first seen 2026-08-28
  • Level 10 first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

Share this profile

CSDB.GGmdLLLFACEITLevel 10 · 2,612 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,612csdb.gg/stats

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Performance scores

Aim86
Positioning73
Utility72

0–100 skill scores via Leetify.

Recent form

STEADY63316Last 10063%Win rateWLLWLWLLWL

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

Player DNA

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

Aim8.6
Aggression9.6
Utility7.2
Positioning7.3
Opening Duels5.0
Clutch3.6

Sharp aimerStrong 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

ZywOo

Plays most like ZywOo 95% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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 86 — the mechanical foundation is a clear strength.

CT openings. 71% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 71% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.6
Positioning7.3
Utility7.2
Mechanics6.1
Opening Duels5.0
Win Impact3.9

Composite 7.1/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.07+0.01
first ⅓ avg 0.06 → last ⅓ avg 0.07
Reaction time457ms−60ms
first ⅓ avg 516ms → last ⅓ avg 457ms
Headshot accuracy20.8%+1.6%
first ⅓ avg 19.2% → last ⅓ avg 20.8%

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

0.30Best rating — inferno 9–2
130Biggest win — anubis
9Longest win streak
55In matches decided by ≤2 rounds
4Overtime games

Map breakdown

vertigoBest map · 83% over 6anubisWeakest map · 53% over 19
MapGradePlayedRecordWin rateAvg rating
anubisB1910953%0.05
infernoS1914574%0.07
ancientA1710759%0.04
cacheA117464%0.08
trainS96367%0.07
vertigoS65183%0.08
fachwerk42250%0.05
shelter32167%0.21
boulder330100%0.11
debris21150%0.14
eldorado21150%0.08
poseidon21150%0.04
mirage21150%0.02
dust21010%0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (53% over 19). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,056Matches
50%Win rate
1.36Avg K/D
87.3ADR
49%Headshot %

Clutches & streaks

38%1v1 clutch win
23%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage53049%1.3017.4
Anubis33553%1.3818.1
Ancient33552%1.3518.1
Dust227148%1.3217.5
Inferno24848%1.4318.7
Nuke5556%1.2516.8
Overpass4648%1.1717.6
Cache4441%1.4019.1

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.

20.5%Headshot accuracy
37.7%Accuracy (enemy spotted)
38.2%Spray accuracy
77.3%Counter-strafing
9.3°Preaim
450msReaction time
28.5%T opening success
71.4%CT opening success
0.56Enemies flashed / flash
3.6%Flash assists
14.23HE damage / grenade
17.21Flashes / 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 28.5001% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
vertigo9–20.1818%28 Aug
fachwerk3–130.0522%28 Aug
train6–130.0624%28 Aug
anubis13–50.1118%28 Aug
anubis6–130.0516%27 Aug
cache16–130.0623%27 Aug
inferno10–130.0510%27 Aug
train10–13-0.0519%26 Aug
anubis13–50.0318%26 Aug
ancient8–130.0119%26 Aug
ancient13–6-0.0124%25 Aug
inferno9–40.1822%25 Aug
anubis7–130.0920%25 Aug
inferno9–130.0221%25 Aug
inferno13–90.0527%25 Aug
ancient4–130.0117%24 Aug
inferno13–80.0529%24 Aug
anubis7–130.0519%24 Aug
shelter5–130.1526%23 Aug
vertigo13–80.0728%23 Aug
train13–10-0.0219%23 Aug
train13–20.1230%21 Aug
fachwerk13–30.0916%21 Aug
anubis8–13-0.019%21 Aug
shelter9–00.2223%21 Aug
inferno16–140.0614%21 Aug
anubis11–130.0417%20 Aug
cache13–60.1016%20 Aug
inferno0–13-0.1124%20 Aug
ancient11–130.0427%20 Aug
inferno9–20.3018%19 Aug
debris9–30.1528%19 Aug
anubis8–130.1022%19 Aug
cache13–60.1321%19 Aug
vertigo13–40.1025%19 Aug
cache9–00.1126%19 Aug
inferno13–90.0622%19 Aug
ancient8–13-0.0310%18 Aug
inferno13–60.0021%18 Aug
ancient13–40.0620%18 Aug
ancient13–50.1525%17 Aug
inferno9–70.0717%16 Aug
eldorado8–80.0425%16 Aug
poseidon3–9-0.0712%16 Aug
anubis10–130.0417%16 Aug
cache9–130.0420%16 Aug
poseidon9–60.1525%14 Aug
debris8–80.1234%14 Aug
train13–40.1329%14 Aug
anubis13–50.0422%14 Aug
cache13–110.0817%13 Aug
shelter13–80.2622%13 Aug
train13–40.0419%13 Aug
inferno13–30.1722%13 Aug
boulder8–40.0927%12 Aug
anubis13–30.0121%12 Aug
inferno13–80.0332%12 Aug
ancient10–13-0.0120%12 Aug
dust212–120.0025%11 Aug
train13–100.1415%11 Aug
anubis13–110.1022%11 Aug
cache0–13-0.0325%10 Aug
train13–10.2228%10 Aug
boulder13–30.1019%10 Aug
inferno13–50.1423%10 Aug
ancient9–130.0232%10 Aug
ancient13–60.0620%10 Aug
cache13–70.0419%9 Aug
vertigo13–90.0225%9 Aug
boulder13–20.1422%9 Aug
vertigo11–130.0619%9 Aug
inferno11–130.0327%9 Aug
ancient13–11-0.0022%8 Aug
inferno13–50.0625%8 Aug
ancient13–50.0425%8 Aug
fachwerk2–13-0.0618%7 Aug
ancient16–130.1014%7 Aug
ancient15–150.0515%7 Aug
anubis13–00.0426%7 Aug
cache13–30.1412%6 Aug
anubis0–10.000%6 Aug
mirage13–60.0622%5 Aug
eldorado9–20.1244%5 Aug
fachwerk13–100.1217%5 Aug
ancient13–70.0915%5 Aug
anubis13–20.0811%5 Aug
inferno13–60.0716%5 Aug
inferno9–130.0114%4 Aug
anubis10–130.0821%4 Aug
mirage12–12-0.0321%3 Aug
cache12–120.1819%3 Aug
anubis13–50.0614%3 Aug
ancient13–70.0517%3 Aug
ancient13–40.1225%2 Aug
anubis13–70.0519%2 Aug
vertigo13–90.0617%2 Aug
train10–130.0319%2 Aug
cache9–130.0926%2 Aug
anubis7–20.037%2 Aug
inferno13–90.0617%2 Aug

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 Matches
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