MentalDeath — CS2 Stats

76561197963771105[U:1:3505377]✓ No bans

4,121Tracked matches50%Win rate2020Tracked since
CSDB Rating6.0 SolidHybrid Rifler
Premier CS Rating23,059Top 50% of 17,162 CSDB-tracked playersPink band · top ~5.1% of ranked players (population est.)
CSDB Leaderboard#8101 of 35944 tracked
FaceitLevel 8 · 1,698 ELOTop 31.2% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

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CSDB.GGMentalDeathFACEITLevel 8 · 1,698 ELOSTANDINGTop 31.2% of rankedPREMIER23,059 · Pink bandcsdb.gg/stats

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Performance scores

Aim80
Positioning50
Utility54

0–100 skill scores via Leetify.

Recent form

HOT51481Last 10051%Win rateLWWWWWLWWL

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating

Player DNA

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

Aim8.0
Aggression5.9
Utility5.4
Positioning5.0
Opening Duels1.9
Clutch2.6

Strong 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 91% 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

Areas to improve

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 48% on CT to 27% 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

Aim8.0
Positioning5.0
Utility5.4
Mechanics6.5
Opening Duels2.3
Win Impact5.0

Composite 6.0/10 (Solid), 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 rating-0.00+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.00
Reaction time556ms−42ms
first ⅓ avg 598ms → last ⅓ avg 556ms
Headshot accuracy22.0%−1.4%
first ⅓ avg 23.5% → last ⅓ avg 22.0%

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

0.11Best rating — nuke 11–13
131Biggest win — cache
5Longest win streak
68In matches decided by ≤2 rounds
6Overtime games

Map breakdown

mirageBest map · 72% over 18infernoWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B29131645%-0.02
mirageS1813572%0.01
nukeB157847%-0.00
cacheB126650%-0.01
anubisC104640%-0.03
infernoC83538%-0.02
ancientA85363%-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

704Matches
50%Win rate
1.12Avg K/D
81.6ADR
44%Headshot %

Clutches & streaks

33%1v1 clutch win
23%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage12747%1.0716.2
Anubis8354%1.1316.3
Dust28151%1.2317.3
Ancient7249%1.0716.6
Nuke5056%1.2718.8
Inferno4743%0.8914.8
Vertigo2748%0.9215.3
Train367%1.3817.7

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.

21.4%Headshot accuracy
35.8%Accuracy (enemy spotted)
39.0%Spray accuracy
79.3%Counter-strafing
9.4°Preaim
546msReaction time
27.2%T opening success
48.1%CT opening success
0.55Enemies flashed / flash
8.0%Flash assists
7.59HE damage / grenade
10.68Flashes / 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 27.1733% — below the 40% mark we flag

Spend your practice time on Inferno

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno7–13-0.0526%29 Aug
mirage13–9-0.0324%29 Aug
inferno13–6-0.0120%29 Aug
mirage13–50.0924%25 Aug
mirage13–6-0.0225%25 Aug
nuke13–80.0823%25 Aug
nuke11–130.1113%25 Aug
ancient13–60.0628%22 Aug
nuke13–10-0.0314%22 Aug
anubis4–13-0.0525%22 Aug
mirage2–13-0.0138%22 Aug
nuke2–13-0.1221%22 Aug
inferno1–13-0.080%22 Aug
dust216–14-0.0117%21 Aug
mirage16–13-0.0120%21 Aug
mirage13–40.0227%21 Aug
anubis3–13-0.0423%20 Aug
anubis13–40.0010%20 Aug
dust213–80.0625%19 Aug
inferno11–130.0132%19 Aug
dust26–130.0515%17 Aug
mirage4–130.0210%16 Aug
nuke10–13-0.0613%16 Aug
ancient13–8-0.0322%16 Aug
nuke13–50.0114%16 Aug
dust214–16-0.0216%16 Aug
anubis1–13-0.0929%13 Aug
cache13–110.0630%13 Aug
mirage0–13-0.0229%12 Aug
nuke5–13-0.0535%12 Aug
cache9–13-0.0236%12 Aug
ancient13–9-0.0326%11 Aug
ancient13–70.0416%11 Aug
cache13–50.0124%11 Aug
mirage11–13-0.0310%11 Aug
inferno9–5-0.0316%11 Aug
inferno9–40.0836%11 Aug
dust213–8-0.0518%11 Aug
ancient15–150.0221%11 Aug
mirage13–7-0.0332%11 Aug
cache13–1-0.0211%11 Aug
dust213–80.0225%11 Aug
dust213–11-0.0521%11 Aug
mirage13–80.0927%11 Aug
ancient11–130.0527%11 Aug
cache10–130.0117%10 Aug
mirage13–20.0419%10 Aug
cache7–2-0.046%10 Aug
cache13–10-0.0231%10 Aug
anubis13–20.0825%10 Aug
nuke11–130.0129%10 Aug
dust23–13-0.1017%10 Aug
nuke9–13-0.0142%10 Aug
cache6–130.0323%9 Aug
dust213–40.0233%9 Aug
cache10–13-0.0221%7 Aug
mirage8–130.0121%7 Aug
mirage13–11-0.0429%7 Aug
dust213–70.0323%7 Aug
mirage13–100.0426%6 Aug
nuke13–20.0412%6 Aug
nuke10–13-0.0224%6 Aug
cache3–13-0.0713%6 Aug
nuke13–4-0.0332%6 Aug
dust20–3-0.090%6 Aug
mirage16–130.0123%4 Aug
dust213–8-0.0423%4 Aug
cache9–13-0.0118%2 Aug
inferno6–13-0.0726%2 Aug
nuke16–120.0914%2 Aug
dust213–10.1141%2 Aug
anubis11–13-0.0219%1 Aug
dust25–13-0.0128%1 Aug
dust29–13-0.0833%31 Jul
mirage13–8-0.0514%31 Jul
nuke13–9-0.0512%31 Jul
inferno6–13-0.0325%31 Jul
dust211–13-0.0624%31 Jul
anubis0–13-0.0611%31 Jul
dust213–11-0.0119%29 Jul
dust22–6-0.0422%29 Jul
anubis13–10-0.0131%29 Jul
anubis0–13-0.1211%29 Jul
dust213–1-0.0150%29 Jul
dust25–13-0.0527%29 Jul
dust213–40.0116%29 Jul
dust25–13-0.0354%28 Jul
ancient13–9-0.0420%28 Jul
mirage13–100.0210%28 Jul
nuke9–13-0.0316%28 Jul
dust28–13-0.0721%27 Jul
ancient0–8-0.1029%27 Jul
dust25–13-0.0518%26 Jul
dust20–13-0.050%26 Jul
dust29–13-0.0411%26 Jul
dust213–110.0431%26 Jul
dust22–70.0850%26 Jul
anubis13–80.0229%26 Jul
dust25–13-0.0828%26 Jul
cache13–7-0.0617%26 Jul

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
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