MelancholicGlorb

MelancholicGlorb — CS2 Stats

76561199174911687[U:1:1214645959]Steam profile ↗✓ No bans

929Tracked matches57%Win rate2024Tracked since
CSDB Rating4.7 DevelopingHybrid Rifler
Premier CS Rating10,000Blue band · top ~54.9% of ranked players (population est.)
CSDB Leaderboard#18732 of 25571 tracked
WingmanSilver Elite Master
Ladder ranks via Leetify

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CSDB.GGMelancholicGlorbPREMIER10,000 · Blue bandcsdb.gg/stats

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Performance scores

Aim66
Positioning54
Utility15

0–100 skill scores via Leetify.

Recent form

STEADY58366Last 10058%Win rateLLWWWWLWLW

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

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

Aim6.6
Aggression4.6
Utility1.5
Positioning5.4
Opening Duels0.6
Clutch0.0

Strong CT-side openerLimited utility dependence

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 80% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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.

T-side openings. Opening success drops from 40% on CT to 25% 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

Aim6.6
Positioning5.4
Utility1.5
Mechanics5.2
Opening Duels1.3
Win Impact7.4

Composite 4.7/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.00
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time548ms−70ms
first ⅓ avg 618ms → last ⅓ avg 548ms
Headshot accuracy13.1%−0.7%
first ⅓ avg 13.8% → last ⅓ avg 13.1%

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

0.20Best rating — nuke 13–3
130Biggest win — nuke
6Longest win streak
L2Current streak
86In matches decided by ≤2 rounds
1Overtime games

Map breakdown

nukeBest map · 78% over 18infernoWeakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
officeS3021970%0.04
nukeS1814478%0.03
infernoD1331023%0.01
dust2A116555%0.04
vertigoD93633%-0.01
anubisB63350%0.02
trainS64267%0.03
ancient32167%0.04
cache1010%-0.10
debris110100%0.01
italy110100%0.08
mirage1010%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2Matches
50%Win rate
1.06Avg K/D
95.1ADR
40%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Cache10%0.9415.0
Anubis1100%1.1728.0

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.

13.8%Headshot accuracy
34.3%Accuracy (enemy spotted)
39.5%Spray accuracy
73.4%Counter-strafing
9.5°Preaim
545msReaction time
24.7%T opening success
40.4%CT opening success
0.25Enemies flashed / flash
1.0%Flash assists
11.66HE damage / grenade
0.69Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.7992% — below the 15% mark we flag

    Aim Training
  2. 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 0.2541 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 24.7168% — 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.

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

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
office4–13-0.0113%29 Aug
cache7–13-0.109%28 Aug
inferno13–40.0811%28 Aug
nuke9–50.0212%28 Aug
office13–110.0816%28 Aug
nuke13–30.2022%27 Aug
anubis8–130.0213%27 Aug
office13–100.0712%27 Aug
vertigo9–13-0.0611%25 Aug
office13–110.0114%24 Aug
dust213–6-0.0114%24 Aug
office4–13-0.0718%23 Aug
nuke13–10-0.0122%23 Aug
nuke3–12-0.0317%22 Aug
vertigo3–13-0.067%21 Aug
nuke13–30.1113%21 Aug
office13–80.0812%21 Aug
nuke13–7-0.0021%21 Aug
nuke13–110.0713%21 Aug
office6–130.1020%21 Aug
nuke8–130.059%20 Aug
office13–60.1516%20 Aug
inferno8–8-0.035%20 Aug
nuke13–40.1517%19 Aug
debris9–60.017%19 Aug
vertigo6–9-0.087%19 Aug
nuke9–5-0.0010%19 Aug
ancient10–130.0310%19 Aug
inferno12–120.0320%18 Aug
dust25–130.0210%18 Aug
train13–10-0.018%18 Aug
inferno8–8-0.0513%18 Aug
office4–130.0111%18 Aug
office13–20.0617%16 Aug
vertigo13–90.024%16 Aug
dust212–120.0016%16 Aug
ancient13–90.0618%16 Aug
office13–100.0521%15 Aug
train13–80.1215%14 Aug
dust213–3-0.0114%14 Aug
office6–130.029%13 Aug
dust211–130.0612%13 Aug
italy13–60.0811%13 Aug
office13–10.068%12 Aug
inferno10–130.0112%11 Aug
dust213–90.1024%11 Aug
train13–90.0416%10 Aug
anubis5–130.0013%10 Aug
office13–110.0311%10 Aug
anubis13–40.064%9 Aug
nuke11–13-0.0211%9 Aug
office13–60.0611%8 Aug
nuke12–12-0.0112%8 Aug
inferno5–13-0.095%8 Aug
office13–60.0115%8 Aug
office13–20.0411%7 Aug
dust213–11-0.0616%7 Aug
nuke13–90.0110%6 Aug
office9–13-0.0219%5 Aug
inferno5–13-0.0018%5 Aug
nuke2–2-0.0225%5 Aug
office13–40.0613%4 Aug
dust28–130.0710%4 Aug
inferno7–130.0310%3 Aug
vertigo7–13-0.0421%3 Aug
office13–40.1011%2 Aug
nuke13–100.025%2 Aug
nuke13–6-0.0514%1 Aug
anubis8–13-0.0614%1 Aug
mirage5–13-0.0210%30 Jul
vertigo13–90.0115%30 Jul
anubis13–50.067%30 Jul
office13–5-0.036%30 Jul
ancient13–60.0214%29 Jul
vertigo13–10.0626%29 Jul
dust213–80.0918%29 Jul
inferno11–13-0.0312%29 Jul
inferno5–90.0819%29 Jul
office10–130.0417%27 Jul
dust211–130.0717%26 Jul
office13–20.1814%26 Jul
nuke13–00.0615%26 Jul
train11–130.0116%26 Jul
inferno6–9-0.0523%25 Jul
office12–120.0220%25 Jul
nuke13–40.0110%25 Jul
anubis16–140.0211%24 Jul
office11–130.0022%24 Jul
office13–10.0513%24 Jul
inferno13–90.0410%24 Jul
train13–110.0612%24 Jul
office13–50.047%23 Jul
dust213–60.0616%23 Jul
vertigo9–130.019%23 Jul
office13–90.0419%22 Jul
office13–80.008%20 Jul
train9–13-0.0110%20 Jul
vertigo9–130.0410%19 Jul
inferno9–40.046%18 Jul
office13–40.0717%18 Jul

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 →