Määgä Määgändaalos

Määgä Määgändaalos — CS2 Stats

76561199488506225[U:1:1528240497]Steam profile ↗✓ No bans

394Tracked matches64%Win rate2023Tracked since
302Hours in CS1Hrs last 2 wks
CSDB Rating6.1 SolidSupport
Premier CS Rating14,029Blue band · top ~33.5% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 394 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 48 days played since 10 Apr 2025. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 14,029 +9,618 18 Apr18 Sept · 13 days played
3,41014,029peak 14,02918 Apr18 Sept
14,522Peak Premier in tracked matches
48Days played since 2025-04-10

Premier CS Rating

  • At peak — 14,029
  • 0 over 30 days · steady
  • +4,136 over 90 days
  • Next: Purple band at 15,000 971 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-18
  • Light Blue band first seen 2026-09-18

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

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=5,399), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 2 medianLevel 3 medianvs Level 3
Headshot rate57.3%41.3%41.9%above
Shot accuracy4.4%12.6%12.2%7.8% short
Kill/death ratio1.340.950.98above
Match win rate42.9%42.5%43.3%meets

This profile matches the typical Level 3 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMäägä MäägändaalosFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER14,029 · Blue bandcsdb.gg/stats

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Performance scores

Aim79
Positioning44
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY53443Last 10053%Win rateWWWLWLWLWL

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · +11.2pp headshot accuracy · −37ms 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

  • 41 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 39%
  • Avg reaction 602ms

Last 10

  • 64 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 27%
  • Avg reaction 558ms

Last 20

  • 1172 · 55% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 21%
  • 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: SupportUtility contribution stands above the rest of this profile (+1.8 against its own average).

Aim7.9
Utility6.3
Positioning4.4
Opening Duels2.7

Strong CT-side opener

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 90% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: 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

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 49% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.9
Positioning4.4
Utility6.3
Mechanics6.9
Opening Duels2.3
Win Impact9.8

Composite 6.1/10 (Solid), 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 rating0.02−0.03
first ⅓ avg 0.05 → last ⅓ avg 0.02
Reaction time542ms−132ms
first ⅓ avg 674ms → last ⅓ avg 542ms
Headshot accuracy25.0%−9.5%
first ⅓ avg 34.5% → last ⅓ avg 25.0%

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

0.22Best match rating · 11–12 · vertigo, 3 Aug
80%Best headshot accuracy · 0–13 · vertigo, 10 Apr
422msFastest reaction time · 13–4 · mirage, 18 Aug
13–0Biggest win · nuke, 13 Jul

Across the last 100 tracked matches.

Highlights

4Longest win streak
W3Current streak
75In matches decided by ≤2 rounds
3Overtime games

Map breakdown

anubisBest map · 67% over 9infernoWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
mirageB24121250%0.05
ancientB147750%0.04
nukeA149564%0.05
anubisS96367%0.05
dust2A95456%0.05
infernoD82625%0.02
vertigoC83538%0.02
officeD62433%0.01
cache330100%0.06
overpass32167%0.14
train110100%0.06
grail110100%0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

12,058Lifetime kills
1.34K/D · Top 10% of Level 2 players
520Matches
42.9%Match win rate · Top 50% of Level 2 players
57.3%Headshot % · Top 5% of Level 2 players
4.4%Shot accuracy
1,643MVPs
171Hours (in match)
338Bombs planted
252Bombs defused

Most-used weapons

Lifetime map wins

887nuke
651vertigo
501inferno
363dust2
83office
58train
13ar_shoots
7ar_baggage

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

Faceit stats

Combat

2Matches
50%Win rate
1.41Avg K/D
ADR
51%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLLW

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.

24.8%Headshot accuracy
33.1%Accuracy (enemy spotted)
37.6%Spray accuracy
80.9%Counter-strafing
10.4°Preaim
537msReaction time
25.8%T opening success
48.7%CT opening success
0.63Enemies flashed / flash
11.2%Flash assists
9.34HE damage / grenade
18.66Flashes / 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

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 25.7966% — below the 40% mark we flag

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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–80.0428%30 Aug
cache13–50.0329%30 Aug
mirage13–110.0735%30 Aug
inferno3–9-0.1067%18 Aug
mirage13–40.0735%18 Aug
ancient1–5-0.100%10 Aug
anubis13–2-0.0022%10 Aug
office7–13-0.0621%8 Aug
office13–9-0.0514%8 Aug
office9–130.0217%4 Aug
office12–120.0315%4 Aug
vertigo12–12-0.0619%4 Aug
inferno1–13-0.0614%4 Aug
vertigo5–10.0520%4 Aug
vertigo13–3-0.0213%4 Aug
vertigo0–2-0.030%4 Aug
anubis13–5-0.0713%25 Jul
mirage13–50.1732%18 Jul
ancient0–13-0.035%18 Jul
anubis13–80.0725%13 Jul
dust213–60.0630%13 Jul
ancient13–110.1530%13 Jul
mirage5–13-0.0157%13 Jul
nuke13–00.000%13 Jul
nuke0–13-0.100%12 Jul
ancient13–1-0.0138%12 Jul
dust216–120.0328%11 Jul
inferno13–80.1038%11 Jul
mirage6–130.0546%11 Jul
mirage9–130.0828%2 Jul
anubis13–10.1529%2 Jul
inferno9–130.0246%8 Jun
dust213–70.1431%2 May
cache13–110.1022%2 May
dust25–12-0.039%5 Apr
nuke13–90.0018%5 Apr
dust213–30.0530%3 Apr
mirage5–13-0.0715%3 Apr
nuke10–13-0.0721%3 Apr
ancient13–20.0027%31 Mar
nuke13–30.0633%24 Mar
mirage13–16-0.0229%24 Mar
dust210–130.1338%23 Mar
mirage13–60.1318%13 Mar
inferno15–150.0731%13 Mar
mirage10–130.0732%13 Mar
mirage13–70.0616%7 Mar
nuke13–70.1033%7 Mar
ancient13–60.0735%21 Feb
inferno10–130.0539%21 Feb
nuke13–40.1533%17 Feb
nuke13–70.1231%17 Feb
anubis8–130.0826%13 Feb
anubis13–20.0837%1 Feb
ancient8–130.0936%1 Feb
anubis13–110.1330%26 Jan
mirage6–13-0.0054%5 Jan
inferno13–11-0.0038%21 Nov
mirage13–70.2043%21 Nov
office7–90.0417%9 Oct
train13–70.0648%9 Oct
overpass8–10.1541%26 Sept
nuke13–80.1233%26 Sept
overpass13–80.1733%26 Sept
ancient8–130.0137%20 Sept
nuke7–130.0438%30 Aug
dust213–80.0541%15 Aug
overpass6–130.0928%15 Aug
mirage7–13-0.0628%15 Aug
mirage13–40.1435%9 Aug
vertigo11–120.2244%3 Aug
ancient13–110.1632%3 Aug
mirage3–13-0.0524%18 Jul
nuke7–90.0728%18 Jul
mirage3–13-0.0229%6 Jul
ancient10–130.0844%6 Jul
nuke13–80.0723%6 Jul
nuke5–130.0428%5 Jul
mirage13–90.0823%11 Jun
anubis6–130.0211%10 Jun
ancient4–50.1434%10 Jun
mirage13–50.0435%10 Jun
nuke13–100.0624%8 Jun
mirage4–130.1049%3 Jun
vertigo13–90.0345%3 Jun
mirage13–70.1250%31 May
vertigo2–130.0452%31 May
office13–60.1022%24 May
grail13–100.0532%20 May
ancient13–110.1129%12 May
mirage13–60.0228%12 May
dust21–9-0.0140%26 Apr
ancient13–90.0333%26 Apr
ancient8–5-0.0750%18 Apr
anubis5–13-0.0135%18 Apr
mirage13–8-0.0129%18 Apr
mirage6–13-0.0414%18 Apr
inferno4–130.0748%18 Apr
dust26–130.0532%18 Apr
vertigo0–13-0.0980%10 Apr

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 →