🌸mentall ill🌸

🌸mentall ill🌸 β€” CS2 Stats

ZW76561198152931350[U:1:192665622]Steam profile β†—βœ“ No bans

992Tracked matches39%Win rate2021Tracked since
2,570Hours in CS
CSDB Rating4.7 Developing
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=1,660), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here β€” those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 5 medianLevel 6 medianvs Level 6
Headshot rate46.6%44.0%44.7%above
Shot accuracy17.6%11.6%11.9%above
Kill/death ratio1.391.031.04above
Match win rate59.7%45.1%45.2%above

Across every metric we can compare, this profile already matches the typical Level 6 player. Rank still comes from winning matches β€” this is a performance comparison, not a prediction.

Share this profile

CSDB.GG🌸mentall ill🌸FACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim58
Positioning47
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY37–57–6Last 10037%Win rateWLLWLLLWWL

Last 10 vs previous 10: +30pp win rate Β· +0.03 avg rating

Player DNA

Aim5.8
Aggression4.8
Utility5.9
Positioning4.7
Opening Duels0.6

Style profile from tracked-match aggregates β€” 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 83% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower opening-duel success; lower aim profile.

Similarity of playstyle shape across shared dimensions β€” it says how you play, not that you play at their level. Full comparison β†’

Strengths & areas to improve

Areas to improve

Reaction time. 612ms from enemy-visible to first shot leaves fights decided before they start β€” warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers β€” no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim5.8
Positioning4.7
Utility5.9
Mechanics5.7
Opening Duels1.2
Win Impact1.4

Composite 4.7/10 (Developing), a weighted mean of the bars with a small opposition adjustment (Γ—1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.02
first β…“ avg -0.04 β†’ last β…“ avg -0.02
Reaction time612msβˆ’71ms
first β…“ avg 682ms β†’ last β…“ avg 612ms
Headshot accuracy15.8%βˆ’3.6%
first β…“ avg 19.4% β†’ last β…“ avg 15.8%

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

0.12Best rating β€” cache 5–1
13–0Biggest win β€” dust2
4Longest win streak
8–5In matches decided by ≀2 rounds

Map breakdown

mirageBest map Β· 57% over 14nukeWeakest map Β· 18% over 11
MapGradePlayedRecordWin rateAvg rating
cacheC3514–2140%-0.01
mirageA148–657%-0.01
dust2D124–833%-0.03
nukeD112–918%-0.09
anubisC104–640%-0.03
ancientB63–350%-0.02
overpassC52–340%-0.04
infernoβ€”40–40%-0.05
trainβ€”20–20%-0.05
vertigoβ€”10–10%-0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

164,406Lifetime kills
1.39K/D Β· Top 10% of Level 5 players
6,662Matches
59.7%Match win rate Β· Top 5% of Level 5 players
46.6%Headshot % Β· Top 50% of Level 5 players
17.6%Shot accuracy Β· Top 10% of Level 5 players
19,199MVPs
2,570Hours (in match)
7,377Bombs planted
1,760Bombs defused

Most-used weapons

AK-4754,379
AWP22,204
P2504,705
SG 5532,491
UMP-452,002
SSG 081,598

Lifetime map wins

9,665dust2
6,308inferno
3,506nuke
1,710vertigo
1,505train
1,365cbble
132assault
122safehouse

Lifetime totals via Steam β€” visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

554Matches
51%Win rate
0.79Avg K/D
β€”ADR
45%Headshot %

Clutches & streaks

β€”1v1 clutch win
β€”1v2 clutch win
8Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1741%0.619.5
Vertigo1377%0.7511.0
Anubis1145%0.8414.2
Overpass5100%0.8210.4
Inferno367%0.8616.0
Ancient367%0.7410.0
Nuke250%0.8510.0

Faceit-match stats via the FACEIT Data API β€” a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches β€” stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.7%Headshot accuracy
33.7%Accuracy (enemy spotted)
39.5%Spray accuracy
75.7%Counter-strafing
11.3Β°Preaim
612msReaction time
25.8%T opening success
39.2%CT opening success
0.69Enemies flashed / flash
2.8%Flash assists
9.64HE damage / grenade
15.56Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag β€” 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 25.8131% β€” below the 40% mark we flag

Spend your practice time on Nuke

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

18% win rate across 11 tracked games β€” your weakest map with enough games to be worth reading into.

Nuke callouts & strategy β†’Nuke grenade lineups β†’

Recent matches

MapScoreRatingHS%Date
mirage13–70.0617%19 Jul β†’
nuke0–6-0.250%25 Jun β†’
cache11–130.0120%25 Jun β†’
cache6–00.0517%25 Jun β†’
mirage6–130.0918%24 Jun β†’
cache6–13-0.0321%24 Jun β†’
anubis3–13-0.0513%24 Jun β†’
dust29–30.0311%24 Jun β†’
cache13–100.0012%21 Jun β†’
nuke9–13-0.0117%21 Jun β†’
cache8–13-0.1121%20 Jun β†’
train5–13-0.058%20 Jun β†’
nuke3–13-0.0510%13 Jun β†’
dust213–00.0818%13 Jun β†’
dust23–13-0.0216%12 Jun β†’
mirage9–13-0.0216%12 Jun β†’
cache5–13-0.0323%12 Jun β†’
overpass5–13-0.0920%12 Jun β†’
anubis7–13-0.0614%12 Jun β†’
ancient12–12-0.0520%12 Jun β†’
nuke5–13-0.1214%9 Jun β†’
mirage13–6-0.0211%8 Jun β†’
cache13–110.0014%8 Jun β†’
mirage13–110.0117%7 Jun β†’
cache13–90.0415%7 Jun β†’
dust25–13-0.0316%7 Jun β†’
cache5–10.124%7 Jun β†’
nuke4–13-0.0334%7 Jun β†’
vertigo12–12-0.0116%7 Jun β†’
mirage13–8-0.0223%7 Jun β†’
anubis6–13-0.018%7 Jun β†’
anubis13–11-0.0024%5 Jun β†’
train2–13-0.0516%5 Jun β†’
ancient13–90.0430%5 Jun β†’
cache13–110.0115%5 Jun β†’
cache3–130.0522%5 Jun β†’
mirage13–3-0.0028%5 Jun β†’
dust211–13-0.0420%4 Jun β†’
inferno10–13-0.1024%4 Jun β†’
overpass13–90.0227%3 Jun β†’
anubis10–13-0.0417%3 Jun β†’
nuke13–5-0.0223%3 Jun β†’
mirage9–13-0.0530%3 Jun β†’
cache8–13-0.0811%3 Jun β†’
cache6–13-0.0419%3 Jun β†’
cache13–4-0.0126%3 Jun β†’
nuke3–13-0.0111%3 Jun β†’
nuke12–12-0.1733%3 Jun β†’
dust27–13-0.0810%2 Jun β†’
ancient13–11-0.0612%2 Jun β†’
anubis13–10-0.0414%31 May β†’
mirage13–11-0.0320%31 May β†’
anubis7–13-0.0720%31 May β†’
dust23–13-0.0814%31 May β†’
mirage13–7-0.0118%31 May β†’
cache13–40.0420%31 May β†’
cache4–13-0.0623%31 May β†’
cache11–130.0214%30 May β†’
overpass10–13-0.0413%30 May β†’
nuke13–6-0.0414%30 May β†’
mirage7–13-0.0317%28 May β†’
cache7–13-0.0519%28 May β†’
cache13–80.0320%28 May β†’
dust210–13-0.0430%28 May β†’
mirage13–10-0.0116%28 May β†’
cache10–130.0012%24 May β†’
dust213–60.0121%22 May β†’
inferno5–13-0.089%22 May β†’
cache7–13-0.0719%22 May β†’
ancient10–13-0.055%21 May β†’
nuke11–13-0.109%21 May β†’
cache7–13-0.0323%17 May β†’
cache9–13-0.0114%17 May β†’
cache13–100.0319%16 May β†’
dust23–13-0.1025%16 May β†’
mirage8–13-0.0536%16 May β†’
ancient12–120.0117%16 May β†’
cache13–50.0225%15 May β†’
cache3–13-0.0532%14 May β†’
dust213–11-0.0622%14 May β†’
mirage11–13-0.0316%14 May β†’
nuke2–13-0.130%13 May β†’
cache13–6-0.0210%13 May β†’
cache7–130.0416%13 May β†’
cache5–13-0.1520%11 May β†’
cache13–110.0313%10 May β†’
cache1–13-0.0625%10 May β†’
cache12–12-0.0423%10 May β†’
cache8–13-0.0324%10 May β†’
anubis8–13-0.0331%10 May β†’
cache13–9-0.0624%9 May β†’
cache5–13-0.0722%8 May β†’
overpass7–13-0.0518%26 Apr β†’
anubis13–40.0139%26 Apr β†’
inferno12–12-0.0317%25 Apr β†’
ancient13–5-0.0321%25 Apr β†’
overpass13–9-0.0211%25 Nov β†’
dust22–8-0.0311%17 Nov β†’
inferno4–10-0.0125%16 Nov β†’
anubis13–8-0.0222%31 Oct β†’

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone β†’Inventory value for this account β†’Where does this rating sit? Premier rank tiers β†’