MiaMalina

MiaMalina — CS2 Stats

DK76561198207244268[U:1:246978540]Steam profile ↗✓ No bans

2,414Tracked matches48%Win rate2020Tracked since
CSDB Rating3.2 LearningClutch Specialist
Premier CS Rating11,991Blue band · top ~44.3% of ranked players (population est.)
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Oct 2026 (3 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: 11,991 -848 9 Jun – 24 Oct · 36 days played
11,18616,358peak 16,3589 Jun24 Oct
16,460Peak Premier in tracked matches
37Days played since 2026-06-09

Premier CS Rating

  • 4,367 below peak (16,358)
  • -1,368 over 30 days · declining
  • -1,521 over 90 days
  • Next: Purple band at 15,000 — 3,009 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-08-30
  • Light Blue band first seen 2026-08-30

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

Share this profile

CSDB.GGMiaMalinaPREMIER11,991 · Blue bandcsdb.gg/stats

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Performance scores

Aim36
Positioning27
Utility31

0–100 skill scores via Leetify.

Recent form

STEADY46–51–3Last 10046%Win rateLLLWWWLWWL

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · +1.3pp headshot accuracy · −92ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 598ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 600ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 646ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.5 against its own average).

Aim3.6
Utility3.1
Positioning2.7
Opening Duels0.0
Clutch4.0

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

Twistzz

Plays most like Twistzz 86% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Reaction time. 684ms 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

Aim3.6
Positioning2.7
Utility3.1
Mechanics5.3
Opening Duels0.0
Win Impact4.4

Composite 3.2/10 (Learning), 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 rating-0.03−0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time676ms−21ms
first ⅓ avg 696ms → last ⅓ avg 676ms
Headshot accuracy14.0%−2.9%
first ⅓ avg 16.9% → last ⅓ avg 14.0%

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 · 13–8 · nuke, 23 Jul →
39%Best headshot accuracy · 7–13 · inferno, 1 Jul →
469msFastest reaction time · 7–13 · anubis, 19 Jun →
13–1Biggest win · anubis, 22 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L3Current streak
4–10In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 67% over 24mirageWeakest map · 17% over 12
MapGradePlayedRecordWin rateAvg rating
nukeS2416–867%-0.02
infernoB2111–1052%-0.03
ancientD186–1233%-0.03
mirageD122–1017%-0.03
anubisD93–633%-0.04
dust2C73–443%-0.02
cacheA74–357%-0.05
overpass—21–150%-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (17% over 12). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,401Matches
49%Win rate
0.81Avg K/D
58.6ADR
32%Headshot %

Clutches & streaks

40%1v1 clutch win
20%1v2 clutch win
15Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Nuke6459%0.9211.3
Vertigo5855%0.8413.5
Anubis5659%0.7612.9
Ancient4161%0.8311.5
Mirage3142%0.8912.4
Inferno2627%0.6410.4
Overpass2255%1.0112.4
Dust2850%0.609.8

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.

14.8%Headshot accuracy
32.2%Accuracy (enemy spotted)
33.3%Spray accuracy
74.0%Counter-strafing
12.8°Preaim
684msReaction time
24.6%T opening success
27.4%CT opening success
0.57Enemies flashed / flash
0.0%Flash assists
11.51HE damage / grenade
1.44Flashes / 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 12.767° — 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 14.7895% — below the 15% mark we flag

    Aim Training →
  3. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 1.4355 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Mirage

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 12 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage10–130.0312%24 Oct →
dust22–13-0.0821%24 Oct →
dust27–13-0.0513%23 Oct →
anubis13–1-0.038%22 Oct →
inferno13–7-0.0427%22 Oct →
cache13–7-0.0720%14 Oct →
dust211–13-0.0313%13 Oct →
anubis16–130.0012%11 Oct →
dust213–90.0211%5 Oct →
cache3–13-0.085%25 Sept →
dust24–13-0.0122%25 Sept →
ancient6–0-0.066%25 Sept →
ancient10–13-0.0716%19 Aug →
nuke12–16-0.0512%15 Aug →
ancient15–15-0.0417%15 Aug →
anubis7–13-0.039%15 Aug →
nuke13–11-0.0010%15 Aug →
mirage7–13-0.0613%14 Aug →
cache13–6-0.0110%14 Aug →
nuke13–30.0114%14 Aug →
mirage11–13-0.0416%10 Aug →
nuke13–60.0132%10 Aug →
inferno16–12-0.0527%5 Aug →
nuke13–80.0024%5 Aug →
anubis11–13-0.0610%5 Aug →
ancient2–13-0.0411%2 Aug →
ancient9–13-0.1010%1 Aug →
inferno13–9-0.0410%31 Jul →
ancient3–13-0.0510%31 Jul →
nuke13–10-0.0515%29 Jul →
inferno13–5-0.027%29 Jul →
inferno5–13-0.0713%29 Jul →
nuke13–70.018%29 Jul →
ancient13–6-0.039%28 Jul →
inferno4–13-0.0013%28 Jul →
nuke1–13-0.1417%28 Jul →
inferno1–13-0.037%28 Jul →
anubis13–7-0.0116%27 Jul →
ancient11–130.0214%24 Jul →
nuke13–80.0919%23 Jul →
cache13–11-0.0710%23 Jul →
cache13–80.0311%23 Jul →
mirage10–130.0015%23 Jul →
mirage13–3-0.0315%23 Jul →
ancient16–13-0.035%22 Jul →
dust27–10.0515%21 Jul →
nuke7–13-0.0513%21 Jul →
inferno11–13-0.0615%20 Jul →
cache8–13-0.0612%19 Jul →
mirage1–13-0.0515%19 Jul →
inferno11–13-0.0610%19 Jul →
anubis7–13-0.0610%15 Jul →
mirage6–13-0.0221%15 Jul →
ancient15–150.0311%14 Jul →
cache10–13-0.0813%14 Jul →
inferno13–10-0.0217%14 Jul →
ancient8–13-0.0318%14 Jul →
ancient6–130.0122%14 Jul →
nuke13–30.029%14 Jul →
nuke12–16-0.0423%14 Jul →
mirage13–9-0.0423%14 Jul →
nuke13–90.0420%2 Jul →
ancient13–11-0.0722%2 Jul →
dust213–5-0.0210%2 Jul →
nuke12–10.0014%2 Jul →
inferno13–8-0.0424%2 Jul →
ancient13–5-0.0012%2 Jul →
nuke14–16-0.0517%1 Jul →
ancient12–16-0.1112%1 Jul →
inferno7–13-0.0039%1 Jul →
nuke13–8-0.0714%1 Jul →
ancient13–10.0535%1 Jul →
inferno13–7-0.0221%1 Jul →
ancient14–16-0.0410%29 Jun →
mirage5–13-0.0122%29 Jun →
mirage4–13-0.1015%28 Jun →
inferno13–80.0320%28 Jun →
nuke13–8-0.0118%28 Jun →
inferno11–13-0.099%22 Jun →
nuke13–3-0.0317%22 Jun →
ancient3–13-0.0613%19 Jun →
anubis7–13-0.0714%19 Jun →
inferno13–6-0.0218%19 Jun →
anubis5–13-0.049%19 Jun →
mirage15–150.0112%19 Jun →
inferno13–40.0924%17 Jun →
anubis5–13-0.0421%17 Jun →
nuke13–100.0213%17 Jun →
overpass8–13-0.0313%17 Jun →
inferno3–13-0.0622%11 Jun →
inferno2–13-0.0412%11 Jun →
nuke13–7-0.0515%11 Jun →
inferno9–13-0.0517%11 Jun →
nuke7–13-0.038%11 Jun →
mirage6–13-0.0113%10 Jun →
overpass13–3-0.0121%10 Jun →
nuke11–13-0.0310%10 Jun →
nuke13–11-0.0215%10 Jun →
nuke3–13-0.0617%10 Jun →
inferno13–6-0.0121%9 Jun →

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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