MELOONI20

MELOONI20 — CS2 Stats

76561199770195736[U:1:1809930008]Steam profile ↗✓ No bans

468Tracked matches60%Win rate2024Tracked since
CSDB Rating6.2 SolidPositional Player
Premier CS Rating21,243Top 50% of 213,399 CSDB-tracked playersPink band · top ~7.1% of ranked players (population est.)
CSDB Leaderboard#66914 of 260026 tracked
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Nov 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

−137Premier CS Rating · 21,380 → 21,243

Rating over time

Premier CS Rating: 21,243 +617 28 Jul – 5 Nov · 24 days played
19,22222,399peak 22,39928 Jul5 Nov
22,399Peak Premier in tracked matches
27Days played since 2026-07-28

Premier CS Rating

  • 1,156 below peak (22,399)
  • -60 over 90 days
  • Next: Red band at 25,000 — 3,757 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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CSDB.GGMELOONI20PREMIER21,243 · Pink bandcsdb.gg/stats

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Performance scores

Aim69
Positioning61
Utility19

0–100 skill scores via Leetify.

Recent form

STEADY48–49–3Last 10048%Win rateLWWLWLWLLW

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · +0.5pp headshot accuracy · −43ms reaction

Win rate −10pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 11%
  • Avg reaction 567ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 11%
  • Avg reaction 557ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 10%
  • Avg reaction 579ms

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: Positional Player — Positioning stands above the rest of this profile (+2.1 against its own average).

Aim6.9
Utility1.9
Positioning6.1
Opening Duels3.9

Limited 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.

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

donk

Plays most like donk 83% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

Strengths

T openings. 64% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

CT openings. Opening success drops from 64% on T to 43% on CT — first contacts on the defending side are being lost.

Reaction time. 581ms 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

Aim6.9
Positioning6.1
Utility1.9
Mechanics7.2
Opening Duels5.9
Win Impact8.3

Composite 6.2/10 (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+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time591ms+2ms
first ⅓ avg 589ms → last ⅓ avg 591ms
Headshot accuracy10.2%−3.0%
first ⅓ avg 13.1% → last ⅓ avg 10.2%

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

0.18Best match rating · 13–2 · ancient, 20 Oct →
26%Best headshot accuracy · 5–13 · ancient, 4 Aug →
391msFastest reaction time · 13–5 · ancient, 2 Nov →
13–0Biggest win · mirage, 18 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
9–3In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 68% over 22infernoWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
ancientS2215–768%0.01
nukeC198–1142%-0.00
mirageC188–1044%-0.01
dust2C146–843%-0.00
anubisA116–555%-0.01
infernoD61–517%-0.02
cacheB63–350%0.01
vertigo—21–150%-0.03
fachwerk—10–10%0.08
poseidon—10–10%-0.02

Across the last 100 tracked matches.

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

Skill profile

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

10.4%Headshot accuracy
36.7%Accuracy (enemy spotted)
37.4%Spray accuracy
82.4%Counter-strafing
8.8°Preaim
581msReaction time
63.6%T opening success
43.4%CT opening success
0.19Enemies flashed / flash
4.3%Flash assists
10.43HE damage / grenade
1.28Flashes / 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 10.3589% — 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 0.186 — below the 0.5 mark we flag

    Grenade Lineups →
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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno5–13-0.0210%5 Nov →
ancient13–60.0112%5 Nov →
dust213–100.0312%5 Nov →
ancient10–130.0112%5 Nov →
ancient13–50.028%2 Nov →
dust211–13-0.098%2 Nov →
mirage13–4-0.0310%2 Nov →
anubis13–160.068%31 Oct →
inferno10–13-0.0314%31 Oct →
nuke13–50.0112%30 Oct →
ancient13–70.0118%30 Oct →
inferno7–1-0.026%30 Oct →
cache13–110.0316%30 Oct →
ancient4–13-0.016%30 Oct →
ancient13–80.1011%30 Oct →
nuke7–13-0.0613%29 Oct →
ancient13–110.056%29 Oct →
mirage10–13-0.0510%25 Oct →
anubis13–11-0.073%25 Oct →
ancient6–130.0311%25 Oct →
inferno8–13-0.074%25 Oct →
ancient13–20.018%25 Oct →
mirage13–9-0.0314%24 Oct →
nuke13–11-0.0012%24 Oct →
dust24–13-0.0716%24 Oct →
dust213–50.0414%24 Oct →
ancient13–60.025%24 Oct →
mirage8–13-0.018%24 Oct →
nuke13–70.1012%24 Oct →
anubis6–3-0.0313%24 Oct →
vertigo9–70.026%24 Oct →
ancient13–9-0.0310%24 Oct →
dust27–13-0.039%23 Oct →
ancient6–13-0.0518%23 Oct →
dust213–9-0.0113%23 Oct →
nuke3–13-0.0115%23 Oct →
mirage13–10-0.046%23 Oct →
mirage15–15-0.037%23 Oct →
cache5–13-0.059%21 Oct →
mirage13–11-0.0210%20 Oct →
ancient13–5-0.0015%20 Oct →
ancient13–20.1821%20 Oct →
inferno8–130.019%18 Oct →
mirage15–150.0318%18 Oct →
mirage13–60.0116%18 Oct →
dust213–30.0813%18 Oct →
nuke15–15-0.0114%18 Oct →
nuke5–130.0117%18 Oct →
mirage13–00.0120%18 Oct →
dust25–130.0113%3 Oct →
dust29–130.0414%19 Sept →
nuke13–16-0.029%28 Aug →
vertigo8–13-0.079%17 Aug →
fachwerk10–130.0813%17 Aug →
nuke11–13-0.0412%16 Aug →
nuke13–10.058%16 Aug →
mirage13–30.136%16 Aug →
ancient13–8-0.0714%16 Aug →
cache14–160.0110%15 Aug →
ancient9–13-0.0014%15 Aug →
anubis13–40.045%15 Aug →
dust213–0-0.0015%15 Aug →
anubis7–13-0.038%15 Aug →
nuke9–50.0510%15 Aug →
poseidon4–9-0.024%15 Aug →
mirage8–13-0.0514%15 Aug →
nuke2–13-0.018%14 Aug →
ancient13–11-0.0510%6 Aug →
nuke5–13-0.0315%5 Aug →
nuke13–8-0.0212%5 Aug →
ancient5–13-0.0826%4 Aug →
anubis13–80.0018%2 Aug →
mirage3–13-0.0618%2 Aug →
anubis3–13-0.055%2 Aug →
dust28–0-0.0125%2 Aug →
cache13–110.029%2 Aug →
nuke7–130.0315%2 Aug →
dust210–13-0.0113%1 Aug →
cache8–13-0.0210%1 Aug →
anubis16–140.0021%31 Jul →
nuke3–13-0.009%31 Jul →
inferno9–13-0.029%31 Jul →
mirage6–13-0.0714%31 Jul →
dust29–13-0.0212%30 Jul →
mirage9–13-0.089%30 Jul →
ancient13–50.008%30 Jul →
mirage6–130.0217%30 Jul →
anubis13–80.058%30 Jul →
nuke16–12-0.0110%30 Jul →
mirage2–13-0.0415%30 Jul →
dust27–130.0222%30 Jul →
ancient13–100.1012%29 Jul →
ancient16–13-0.0111%29 Jul →
anubis7–13-0.0310%29 Jul →
nuke13–6-0.027%29 Jul →
anubis5–13-0.0010%28 Jul →
ancient8–130.0517%28 Jul →
cache13–50.0817%28 Jul →
nuke7–13-0.0310%28 Jul →
mirage13–60.059%28 Jul →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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