?82Mäky

?82Mäky — CS2 Stats

FI76561197986505321[U:1:26239593]Steam profile ↗✓ No bans

3,124Tracked matches53%Win rate2020Tracked since
CSDB Rating6.0 SolidPositional Player
CSDB Leaderboard#35337 of 230712 tracked
FaceitLevel 8 · 1,639 ELOTop 31.2% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 23 days played since 3 Jul 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 23,413 -453 24 Jul10 Aug · 2 days played
23,41323,866peak 23,86624 Jul10 Aug
23,866Peak Premier in tracked matches
1,639Highest Faceit ELO seen on CSDB
23Days played since 2026-07-03

Faceit ELO

  • At peak — 1,639
  • Next: Level 9 at 1,751 112 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5

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

Share this profile

CSDB.GG?82MäkyFACEITLevel 8 · 1,639 ELOSTANDINGTop 31.2% of rankedPEAK ELO1,639csdb.gg/stats

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Performance scores

Aim78
Positioning69
Utility41

0–100 skill scores via Leetify.

Recent form

HOT55441Last 10055%Win rateWLWLWWWLWW

Last 10 vs previous 10: +40pp win rate · +0.02 avg rating · −0.9pp headshot accuracy · −42ms reaction

Win rate up 40pp 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

  • 32 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 422ms

Last 10

  • 73 · 70% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 512ms

Last 20

  • 1010 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 533ms

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 PlayerPositioning stands above the rest of this profile (+2 against its own average).

Aim7.8
Utility4.1
Positioning6.9
Opening Duels6.6
Clutch2.2

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 91% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; 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

Areas to improve

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

Counter-strafing. Only 70% 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

Aim7.8
Positioning6.9
Utility4.1
Mechanics4.3
Opening Duels6.9
Win Impact6.1

Composite 6.0/10 (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 rating-0.02−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.02
Reaction time548ms−19ms
first ⅓ avg 567ms → last ⅓ avg 548ms
Headshot accuracy21.0%−1.0%
first ⅓ avg 22.1% → last ⅓ avg 21.0%

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

0.08Best match rating · 13–10 · inferno, 4 Jul
63%Best headshot accuracy · 2–13 · mirage, 6 Aug
375msFastest reaction time · 13–8 · ancient, 17 Sept
13–2Biggest win · nuke, 18 Aug

Across the last 100 tracked matches.

Highlights

5Longest win streak
77In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 65% over 23cacheWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
nukeS2315865%-0.01
ancientA2011955%-0.01
mirageB2091145%-0.03
infernoA159660%-0.01
anubisA127558%-0.01
cacheD72529%-0.03
dust2110100%0.02
overpass1010%-0.02
train110100%-0.03

Across the last 100 tracked matches.

Faceit stats

Combat

1,211Matches
51%Win rate
0.90Avg K/D
67.8ADR
38%Headshot %

Clutches & streaks

31%1v1 clutch win
15%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Nuke24357%0.9814.4
Ancient22053%0.8913.3
Inferno17249%0.9213.8
Mirage15247%0.8913.4
Anubis14649%0.8613.6
Train3348%0.7612.6
Overpass2050%0.9415.1
Vertigo1947%0.8214.4

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.

20.6%Headshot accuracy
37.5%Accuracy (enemy spotted)
42.1%Spray accuracy
69.6%Counter-strafing
9.2°Preaim
547msReaction time
56.9%T opening success
58.3%CT opening success
0.50Enemies flashed / flash
5.8%Flash assists
9.27HE damage / grenade
5.43Flashes / match

Recommended for you

Spend your practice time on Cache

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
anubis13–110.0122%17 Sept
inferno6–13-0.0325%17 Sept
ancient13–80.0413%17 Sept
ancient4–13-0.0410%17 Sept
nuke13–5-0.0223%17 Sept
ancient13–9-0.0720%14 Sept
anubis13–10-0.0317%14 Sept
inferno3–13-0.0613%14 Sept
mirage13–70.0515%14 Sept
anubis16–12-0.0119%13 Sept
mirage9–13-0.0513%13 Sept
nuke13–110.0121%13 Sept
ancient8–13-0.0420%13 Sept
anubis10–13-0.0021%10 Sept
ancient14–16-0.0619%10 Sept
nuke13–10-0.0526%10 Sept
inferno5–13-0.0212%8 Sept
mirage11–13-0.0115%8 Sept
ancient13–10-0.0339%8 Sept
mirage0–13-0.090%8 Sept
nuke16–14-0.0625%24 Aug
ancient9–13-0.0220%24 Aug
inferno3–13-0.0535%24 Aug
nuke9–13-0.0222%24 Aug
nuke13–20.0144%18 Aug
mirage13–9-0.0219%18 Aug
nuke13–40.0338%18 Aug
ancient13–11-0.0216%18 Aug
mirage11–13-0.0419%17 Aug
nuke13–80.0019%17 Aug
mirage3–13-0.0818%10 Aug
ancient14–160.0225%10 Aug
anubis13–90.0133%6 Aug
ancient13–40.0110%6 Aug
mirage2–13-0.1063%6 Aug
inferno13–3-0.040%6 Aug
nuke13–9-0.0220%6 Aug
mirage13–7-0.0326%5 Aug
anubis13–6-0.0115%5 Aug
nuke13–6-0.0017%5 Aug
ancient8–130.0212%5 Aug
nuke6–13-0.049%3 Aug
mirage6–13-0.0721%27 Jul
nuke12–16-0.0321%27 Jul
nuke16–12-0.0117%26 Jul
mirage7–13-0.0511%26 Jul
anubis10–13-0.0623%26 Jul
anubis13–7-0.0329%26 Jul
ancient13–110.0322%26 Jul
ancient13–11-0.0813%26 Jul
nuke9–13-0.0312%26 Jul
inferno13–10-0.0321%24 Jul
nuke8–13-0.0113%24 Jul
ancient13–60.0523%24 Jul
mirage13–9-0.0226%24 Jul
cache13–8-0.0121%24 Jul
inferno13–40.0328%24 Jul
dust213–100.0226%24 Jul
cache8–13-0.049%22 Jul
anubis4–13-0.0735%22 Jul
nuke8–13-0.0624%22 Jul
inferno13–7-0.0213%22 Jul
mirage8–13-0.0126%21 Jul
ancient13–40.0318%21 Jul
cache8–13-0.0318%21 Jul
inferno13–11-0.0426%17 Jul
nuke13–40.0232%17 Jul
cache11–13-0.0825%17 Jul
ancient13–90.0225%17 Jul
mirage13–40.0229%17 Jul
cache13–2-0.007%12 Jul
mirage13–30.0122%12 Jul
inferno13–16-0.0223%12 Jul
mirage13–6-0.0121%12 Jul
cache12–160.0030%12 Jul
inferno13–100.0128%12 Jul
nuke10–1-0.0714%12 Jul
anubis13–40.0235%11 Jul
mirage15–15-0.0314%11 Jul
cache11–13-0.0522%11 Jul
inferno11–20.089%11 Jul
ancient13–100.0424%11 Jul
nuke7–130.0522%11 Jul
nuke13–9-0.0325%9 Jul
anubis11–13-0.0217%9 Jul
inferno3–13-0.0516%9 Jul
ancient1–13-0.0518%9 Jul
nuke9–13-0.0015%9 Jul
ancient5–13-0.0419%4 Jul
nuke13–30.0526%4 Jul
inferno13–100.0823%4 Jul
overpass5–13-0.0221%4 Jul
mirage9–130.0238%4 Jul
train13–7-0.0326%4 Jul
inferno16–130.0325%4 Jul
nuke13–100.0823%4 Jul
mirage22–18-0.0426%4 Jul
mirage13–60.0221%4 Jul
anubis8–130.0319%4 Jul
ancient10–130.0622%3 Jul

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 →