Melon be Smellin

Melon be Smellin — CS2 Stats

76561198077368295[U:1:117102567]Steam profile ↗✓ No bans

553Tracked matches36%Win rate2020Tracked since
CSDB Rating4.7 DevelopingSupport
Premier CS Rating15,230Purple band · top ~27.5% of ranked players (population est.)
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Oct 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 15,230 +231 7 Aug – 15 Oct · 24 days played
14,99918,380peak 18,3807 Aug15 Oct
18,380Peak Premier in tracked matches
1,111Highest Faceit ELO seen on CSDB
43Days played since 2026-07-08

Premier CS Rating

  • 3,150 below peak (18,380)
  • -1,593 over 30 days · declining
  • Next: Pink band at 20,000 — 4,770 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-01
  • Blue band first seen 2026-09-01

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

Share this profile

CSDB.GGMelon be SmellinPREMIER15,230 · Purple bandPEAK ELO1,111csdb.gg/stats

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Performance scores

Aim67
Positioning43
Utility49

0–100 skill scores via Leetify.

Recent form

COLD47–50–3Last 10047%Win rateWLLLWLTLLW

Last 10 vs previous 10: 0pp win rate · −0.05 avg rating · −2.2pp headshot accuracy · −27ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 20%
  • Avg reaction 558ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 21%
  • Avg reaction 564ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 577ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+2 against its own average).

Aim6.7
Utility4.9
Positioning4.3
Opening Duels0.5
Clutch1.8

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Twistzz

Plays most like Twistzz 93% playstyle similarity

Most alike: positioning profile, utility contribution.

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

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

CT openings. Opening success drops from 45% on T to 27% on CT — first contacts on the defending side are being lost.

Reaction time. 579ms 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

Aim6.7
Positioning4.3
Utility4.9
Mechanics5.7
Opening Duels1.9
Win Impact0.2

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

Trends

Match rating-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time576ms−37ms
first ⅓ avg 613ms → last ⅓ avg 576ms
Headshot accuracy22.5%+1.8%
first ⅓ avg 20.7% → last ⅓ avg 22.5%

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.

Personal bests

0.09Best match rating · 4–13 · mirage, 3 Oct →
48%Best headshot accuracy · 10–13 · inferno, 7 Sept →
438msFastest reaction time · 8–13 · dust2, 4 Oct →
13–3Biggest win · inferno, 9 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak
14–6In matches decided by ≤2 rounds
8Overtime games

Map breakdown

cacheBest map · 73% over 15ancientWeakest map · 24% over 17
MapGradePlayedRecordWin rateAvg rating
dust2B2010–1050%-0.03
mirageC188–1044%-0.04
ancientD174–1324%-0.01
infernoA169–756%-0.01
cacheS1511–473%-0.02
nukeC73–443%-0.02
anubis—40–40%-0.01
boulder—11–0100%0.04
alpine—10–10%0.01
office—11–0100%-0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (24% over 17). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

18Matches
50%Win rate
0.88Avg K/D
69.8ADR
42%Headshot %

Clutches & streaks

29%1v1 clutch win
0%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno333%1.0615.0
Cache250%0.8413.0
Dust21100%1.757.0
Ancient10%0.5610.0

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.

21.8%Headshot accuracy
33.8%Accuracy (enemy spotted)
36.9%Spray accuracy
75.9%Counter-strafing
10.9°Preaim
579msReaction time
45.5%T opening success
27.3%CT opening success
0.55Enemies flashed / flash
4.1%Flash assists
8.04HE damage / grenade
5.99Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 27.2913% — below the 40% mark we flag

Spend your practice time on Ancient

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

24% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–10-0.0614%15 Oct →
ancient6–13-0.0418%15 Oct →
cache9–13-0.0816%15 Oct →
anubis9–13-0.0617%15 Oct →
nuke13–5-0.0133%13 Oct →
nuke7–130.0140%13 Oct →
inferno15–150.0221%13 Oct →
cache4–13-0.0421%10 Oct →
mirage11–13-0.028%10 Oct →
mirage13–11-0.0521%6 Oct →
inferno13–7-0.0317%6 Oct →
ancient5–13-0.0113%6 Oct →
nuke11–13-0.0530%6 Oct →
inferno13–100.0027%4 Oct →
anubis6–13-0.0324%4 Oct →
dust28–13-0.0224%4 Oct →
anubis10–130.0835%3 Oct →
nuke9–130.0212%3 Oct →
ancient13–60.0727%3 Oct →
mirage4–130.0923%3 Oct →
dust29–13-0.1115%3 Oct →
inferno14–160.0525%2 Oct →
ancient7–130.0315%2 Oct →
cache10–13-0.0626%2 Oct →
mirage7–13-0.0617%29 Sept →
mirage13–11-0.0420%28 Sept →
ancient13–9-0.0218%26 Sept →
nuke13–4-0.0231%25 Sept →
ancient15–150.0323%25 Sept →
cache13–11-0.0322%25 Sept →
ancient9–13-0.0134%24 Sept →
mirage4–13-0.0525%24 Sept →
dust213–10-0.0530%21 Sept →
cache13–110.0423%18 Sept →
dust213–7-0.0020%18 Sept →
inferno6–13-0.0819%18 Sept →
cache13–8-0.0325%15 Sept →
ancient13–16-0.0212%15 Sept →
mirage8–130.0115%10 Sept →
nuke6–13-0.0623%10 Sept →
inferno13–30.0320%9 Sept →
inferno3–130.0224%7 Sept →
ancient8–13-0.0221%7 Sept →
cache7–13-0.0018%7 Sept →
inferno10–13-0.0048%7 Sept →
ancient7–13-0.0612%31 Aug →
dust210–13-0.0419%31 Aug →
inferno13–7-0.0425%31 Aug →
inferno9–13-0.0424%30 Aug →
dust25–13-0.0635%30 Aug →
cache13–10-0.0625%28 Aug →
inferno13–9-0.0014%28 Aug →
anubis9–13-0.0217%27 Aug →
mirage7–60.0030%26 Aug →
nuke13–11-0.0330%26 Aug →
cache13–11-0.0526%25 Aug →
dust213–9-0.1127%25 Aug →
ancient9–13-0.0510%25 Aug →
dust213–90.0037%25 Aug →
mirage3–13-0.1030%25 Aug →
inferno13–30.0229%25 Aug →
inferno11–13-0.0228%24 Aug →
dust213–6-0.0116%24 Aug →
mirage1–13-0.0717%24 Aug →
mirage13–11-0.1133%21 Aug →
ancient13–50.0117%20 Aug →
ancient12–120.0114%19 Aug →
dust211–13-0.0326%19 Aug →
ancient7–13-0.0323%12 Aug →
ancient13–110.0142%12 Aug →
dust29–13-0.0022%12 Aug →
mirage13–9-0.0233%11 Aug →
inferno13–70.0224%11 Aug →
dust29–13-0.0319%11 Aug →
dust216–14-0.0128%10 Aug →
inferno16–12-0.0318%10 Aug →
cache13–3-0.0114%7 Aug →
dust213–10-0.0019%7 Aug →
mirage16–140.0126%6 Aug →
dust213–8-0.0418%2 Aug →
cache13–3-0.027%21 Jul →
cache13–11-0.0223%20 Jul →
ancient7–130.0215%20 Jul →
cache13–70.0129%20 Jul →
ancient10–13-0.009%19 Jul →
mirage3–13-0.0721%19 Jul →
dust213–110.0111%19 Jul →
dust22–13-0.0731%19 Jul →
boulder13–70.0421%17 Jul →
dust216–120.0121%16 Jul →
dust211–130.0119%15 Jul →
mirage9–13-0.0818%14 Jul →
dust29–13-0.118%11 Jul →
mirage13–11-0.0118%11 Jul →
cache13–10-0.0121%11 Jul →
mirage9–13-0.0419%11 Jul →
inferno13–4-0.0020%8 Jul →
alpine8–130.0127%8 Jul →
office13–7-0.0816%8 Jul →
cache13–40.0319%8 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 →

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