this melon so good

this melon so good — CS2 Stats

76561199013537091[U:1:1053271363]Steam profile ↗✓ No bans

39Tracked matches33%Win rate2026Tracked since
58Hours in CS0Hrs last 2 wks
CSDB Rating1.0 LearningPositional Player
Ladder ranks via Leetify

Performance scores

Aim9
Positioning27
Utility8

0–100 skill scores via Leetify.

Recent form

STEADY11–24–4Last 3928%Win rateLTTWWWLLWL

Last 10 vs previous 10: +30pp win rate · +0.00 avg rating · −1.9pp headshot accuracy · −77ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–1–2 · 40% win rate
  • Avg rating -0.09
  • Avg headshot accuracy 7%
  • Avg reaction 645ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 6%
  • Avg reaction 641ms

Last 20

  • 5–12–3 · 25% win rate
  • Avg rating -0.08
  • Avg headshot accuracy 7%
  • Avg reaction 679ms

Newest first, from the last 39 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 (+1.5 against its own average).

Aim0.9
Utility0.8
Positioning2.7
Opening Duels0.0

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.

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 71% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; lower aim profile.

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

T-side openings. Opening success drops from 30% on CT to 9% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 704ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 52% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim0.9
Positioning2.7
Utility0.8
Mechanics0.5
Opening Duels0.0
Win Impact0.0

Composite 1.0/10 (Learning), 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-0.08+0.00
first ⅓ avg -0.08 → last ⅓ avg -0.08
Reaction time661ms−131ms
first ⅓ avg 792ms → last ⅓ avg 661ms
Headshot accuracy5.3%−3.1%
first ⅓ avg 8.5% → last ⅓ avg 5.3%

Rolling 5-match average across the last 39 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.03Best match rating · 13–11 · shelter, 17 Aug →
25%Best headshot accuracy · 2–6 · mirage, 9 Aug →
500msFastest reaction time · 13–9 · nuke, 21 Aug →
13–0Biggest win · cache, 17 Jul →

Across the last 39 tracked matches.

Highlights

3Longest win streak

Map breakdown

cacheBest map · 50% over 8infernoWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
nukeD113–827%-0.08
cacheB84–450%-0.06
mirageD82–625%-0.09
infernoD50–50%-0.09
ancient—41–325%-0.08
shelter—11–0100%0.03
dust2—10–10%-0.11
vertigo—10–10%-0.13

Across the last 39 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

945Lifetime kills
0.50K/D
109Matches
18.3%Match win rate
27.0%Headshot %
6.1%Shot accuracy
68MVPs
32Hours (in match)
25Bombs planted
5Bombs defused

Most-used weapons

Lifetime map wins

100nuke
79dust2
44inferno
11vertigo

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

Skill profile

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

6.2%Headshot accuracy
28.9%Accuracy (enemy spotted)
33.9%Spray accuracy
52.3%Counter-strafing
13.4°Preaim
704msReaction time
8.7%T opening success
29.6%CT opening success
0.24Enemies flashed / flash
0.0%Flash assists
1.79HE damage / grenade
1.14Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.4102° — above the 12° mark we flag

    Aim Training →
  2. 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 6.1839% — below the 15% mark we flag

    Aim Training →
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 704.3778ms — above the 700ms mark we flag

    Aim Training →
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.

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno9–13-0.0622%24 Sept →
cache12–12-0.0810%20 Sept →
inferno12–12-0.100%16 Sept →
nuke13–9-0.110%21 Aug →
nuke13–10-0.092%21 Aug →
cache13–10-0.050%20 Aug →
cache6–13-0.084%20 Aug →
nuke10–13-0.102%19 Aug →
shelter13–110.031%17 Aug →
dust22–13-0.1115%15 Aug →
mirage8–13-0.127%12 Aug →
ancient9–13-0.086%11 Aug →
cache4–13-0.090%11 Aug →
ancient3–13-0.027%10 Aug →
mirage2–6-0.0825%9 Aug →
inferno10–13-0.068%9 Aug →
nuke11–13-0.047%8 Aug →
mirage13–7-0.054%8 Aug →
nuke8–13-0.156%8 Aug →
nuke12–12-0.076%7 Aug →
ancient5–13-0.147%17 Jul →
cache13–00.025%17 Jul →
inferno3–13-0.094%16 Jul →
nuke13–11-0.094%16 Jul →
cache2–13-0.1011%9 Jul →
mirage8–13-0.120%8 Jul →
nuke10–13-0.062%6 Jul →
mirage13–7-0.097%6 Jul →
ancient13–9-0.099%4 Jul →
nuke3–13-0.0221%2 Jul →
cache13–8-0.049%2 Jul →
inferno4–13-0.126%2 Jul →
vertigo10–13-0.132%29 Jun →
mirage12–12-0.096%29 Jun →
cache13–8-0.0819%29 Jun →
mirage3–13-0.114%29 Jun →
nuke6–13-0.098%11 Jun →
mirage2–13-0.0914%11 Jun →
nuke6–13-0.093%10 Jun →

Match data via Leetify.

Recent teammates

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

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