MarshmelloXza

MarshmelloXza — CS2 Stats

76561198401585374[U:1:441319646]Steam profile ↗✓ No bans

2,679Tracked matches48%Win rate2021Tracked since
CSDB Rating5.7 SolidSupport
Premier CS Rating22,310Top 50% of 205,416 CSDB-tracked playersPink band · top ~6% of ranked players (population est.)
CSDB Leaderboard#50705 of 252605 tracked
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−304Premier CS Rating · 22,614 → 22,310

Rating over time

Premier CS Rating: 22,310 +430 1 Aug – 17 Oct · 40 days played
19,44722,910peak 22,9101 Aug17 Oct
22,910Peak Premier in tracked matches
42Days played since 2026-08-01

Premier CS Rating

  • 600 below peak (22,910)
  • +731 over 30 days · improving
  • +430 over 90 days
  • Next: Red band at 25,000 — 2,690 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-29
  • Blue band first seen 2026-08-29

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

Share this profile

CSDB.GGMarshmelloXzaFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER22,310 · Pink bandcsdb.gg/stats

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Performance scores

Aim51
Positioning58
Utility77

0–100 skill scores via Leetify.

Recent form

STEADY44–52–4Last 10044%Win rateLLWLLWLLWW

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · +0.6pp headshot accuracy · +24ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 609ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 624ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 12%
  • Avg reaction 612ms

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 (+2.1 against its own average).

Aim5.1
Utility7.7
Positioning5.8
Opening Duels3.4
Clutch5.4

High utility contribution

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

ZywOo

Plays most like ZywOo 64% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

Strengths

Utility. Utility score of 77 — grenade impact well above the norm.

Areas to improve

Reaction time. 610ms 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

Aim5.1
Positioning5.8
Utility7.7
Mechanics6.3
Opening Duels3.7
Win Impact4.4

Composite 5.7/10 (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 rating0.01−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time606ms−11ms
first ⅓ avg 617ms → last ⅓ avg 606ms
Headshot accuracy12.2%−1.9%
first ⅓ avg 14.1% → last ⅓ avg 12.2%

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

0.14Best match rating · 13–4 · anubis, 15 Sept →
30%Best headshot accuracy · 13–2 · dust2, 1 Sept →
453msFastest reaction time · 13–5 · inferno, 3 Oct →
13–2Biggest win · dust2, 1 Sept →

Across the last 100 tracked matches.

Highlights

3Longest win streak
L2Current streak
2–3In matches decided by ≤2 rounds
7Overtime games

Map breakdown

infernoBest map · 58% over 19ancientWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
dust2C259–1636%0.02
infernoA1911–858%0.02
cacheA169–756%0.03
mirageB168–850%0.02
anubisC145–936%0.01
ancientD81–713%-0.01
nuke—21–150%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

154Matches
42%Win rate
1.15Avg K/D
85.1ADR
31%Headshot %

Clutches & streaks

47%1v1 clutch win
30%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1932%1.1413.1
Vertigo838%0.7212.5
Inferno838%1.3411.1
Nuke771%1.0214.3
Dust2475%1.7616.8
Ancient367%1.2221.0
Overpass2100%0.9520.0
Anubis1100%1.1219.0

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.

11.8%Headshot accuracy
36.8%Accuracy (enemy spotted)
42.6%Spray accuracy
78.4%Counter-strafing
14.6°Preaim
610msReaction time
39.5%T opening success
49.8%CT opening success
0.55Enemies flashed / flash
13.9%Flash assists
8.69HE damage / grenade
23.43Flashes / 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 14.6075° — 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 11.8111% — below the 15% mark we flag

    Aim Training →
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.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno8–13-0.0414%17 Oct →
ancient5–13-0.036%16 Oct →
cache13–80.016%16 Oct →
anubis7–130.0122%16 Oct →
dust22–13-0.035%16 Oct →
dust213–100.0210%14 Oct →
dust211–13-0.0213%14 Oct →
cache9–13-0.0010%13 Oct →
mirage13–90.0224%13 Oct →
nuke13–5-0.0118%12 Oct →
anubis8–13-0.0010%12 Oct →
dust213–90.0116%12 Oct →
cache13–90.0716%12 Oct →
inferno13–90.0710%12 Oct →
ancient6–130.0415%9 Oct →
inferno2–13-0.0612%9 Oct →
anubis13–90.0216%8 Oct →
mirage11–13-0.007%7 Oct →
dust215–15-0.016%7 Oct →
dust23–130.0113%6 Oct →
mirage13–80.0516%5 Oct →
ancient6–13-0.0510%5 Oct →
anubis13–7-0.062%4 Oct →
cache13–16-0.048%3 Oct →
inferno13–50.0211%3 Oct →
ancient11–130.0912%2 Oct →
cache13–80.0415%29 Sept →
anubis8–13-0.0011%28 Sept →
inferno13–100.0712%28 Sept →
cache13–80.0611%28 Sept →
cache0–13-0.0511%28 Sept →
dust24–130.0126%28 Sept →
mirage9–13-0.037%24 Sept →
inferno13–80.0215%24 Sept →
cache4–130.0610%24 Sept →
nuke6–13-0.0316%19 Sept →
anubis13–50.0916%19 Sept →
cache15–150.0412%16 Sept →
inferno13–90.0213%16 Sept →
cache13–70.0713%16 Sept →
anubis10–13-0.0712%15 Sept →
dust213–110.0312%15 Sept →
inferno7–13-0.0116%15 Sept →
dust213–6-0.0013%15 Sept →
anubis13–40.1417%15 Sept →
cache8–130.0317%14 Sept →
dust29–130.0511%14 Sept →
mirage13–80.059%12 Sept →
dust27–13-0.032%11 Sept →
inferno13–100.1213%11 Sept →
mirage6–13-0.0518%11 Sept →
dust28–130.0411%11 Sept →
dust213–80.0714%11 Sept →
cache13–100.0513%10 Sept →
mirage13–40.049%10 Sept →
dust27–13-0.0417%5 Sept →
mirage13–60.0027%4 Sept →
dust213–70.0615%4 Sept →
inferno13–100.0314%4 Sept →
inferno13–160.0317%3 Sept →
mirage2–13-0.0125%2 Sept →
inferno13–90.0521%1 Sept →
dust213–20.0730%1 Sept →
inferno16–120.0211%31 Aug →
dust27–130.0319%31 Aug →
mirage13–90.0215%31 Aug →
inferno4–13-0.0415%30 Aug →
dust212–12-0.004%30 Aug →
mirage10–130.1117%27 Aug →
dust26–130.078%26 Aug →
mirage15–150.0513%25 Aug →
anubis3–130.0323%25 Aug →
dust25–130.0424%25 Aug →
mirage6–13-0.0612%24 Aug →
cache16–14-0.0317%24 Aug →
dust28–130.0017%24 Aug →
cache13–5-0.0118%24 Aug →
anubis4–130.0515%23 Aug →
anubis13–9-0.019%21 Aug →
mirage13–70.0326%21 Aug →
dust210–13-0.0113%21 Aug →
inferno9–130.0210%21 Aug →
cache13–40.066%9 Aug →
anubis4–130.067%9 Aug →
dust213–70.0610%9 Aug →
mirage6–130.0212%7 Aug →
inferno8–13-0.0610%7 Aug →
inferno13–100.027%5 Aug →
ancient6–13-0.017%5 Aug →
cache6–130.0421%4 Aug →
ancient5–13-0.0320%4 Aug →
ancient13–9-0.0115%4 Aug →
dust213–70.0010%4 Aug →
ancient10–13-0.0613%3 Aug →
anubis7–13-0.0326%3 Aug →
dust28–13-0.0020%3 Aug →
anubis9–13-0.0418%3 Aug →
inferno3–13-0.0112%3 Aug →
inferno13–40.0920%1 Aug →
mirage13–70.017%1 Aug →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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