Möksy

Möksy — CS2 Stats

FI76561198298969688[U:1:338703960]Steam profile ↗✓ No bans

625Tracked matches57%Win rate2020Tracked since
CSDB Rating4.8 DevelopingPositional Player
Premier CS Rating17,407Purple band · top ~18.8% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (20 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 625 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 17,407 +1,889 29 Mar – 23 Sept · 14 days played
14,99917,407peak 17,40729 Mar23 Sept
17,517Peak Premier in tracked matches
35Days played since 2026-03-27

Premier CS Rating

  • At peak — 17,407
  • +734 over 30 days · improving
  • +1,436 over 90 days
  • Next: Pink band at 20,000 — 2,593 to go
  • Reached: 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.

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CSDB.GGMöksyPREMIER17,407 · Purple bandcsdb.gg/stats

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Performance scores

Aim68
Positioning31
Utility18

0–100 skill scores via Leetify.

Recent form

HOT44–50–6Last 10044%Win rateLWLWWWWWLW

Last 10 vs previous 10: +40pp win rate · +0.02 avg rating · +5.2pp headshot accuracy · −36ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 27%
  • Avg reaction 562ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 23%
  • Avg reaction 586ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 20%
  • Avg reaction 604ms

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 Player — Positioning stands above the rest of this profile (+1.6 against its own average).

Aim6.8
Utility1.8
Positioning3.1
Opening Duels0.6
Clutch0.6

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

ropz

Plays most like ropz 91% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower utility contribution; lower positioning 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 37 points — deaths here waste a strong aim profile.

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

Reaction time. 617ms 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

Aim6.8
Positioning3.1
Utility1.8
Mechanics7.2
Opening Duels0.3
Win Impact7.2

Composite 4.8/10 (Developing), 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-0.05+0.01
first ⅓ avg -0.06 → last ⅓ avg -0.05
Reaction time625ms+1ms
first ⅓ avg 624ms → last ⅓ avg 625ms
Headshot accuracy20.1%+3.4%
first ⅓ avg 16.7% → last ⅓ avg 20.1%

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 · 6–9 · inferno, 6 Aug →
43%Best headshot accuracy · 7–13 · nuke, 31 Aug →
438msFastest reaction time · 13–6 · inferno, 30 May →
13–2Biggest win · mirage, 16 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–10In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 88% over 8nukeWeakest map · 17% over 12
MapGradePlayedRecordWin rateAvg rating
cacheA2616–1062%-0.04
mirageC207–1335%-0.07
ancientD164–1225%-0.05
nukeD122–1017%-0.06
anubisS87–188%-0.05
infernoC83–538%-0.02
dust2C73–443%-0.05
overpass—32–167%-0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

71Matches
51%Win rate
0.60Avg K/D
53.9ADR
49%Headshot %

Clutches & streaks

23%1v1 clutch win
12%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1362%0.6811.4
Ancient1233%0.509.3
Anubis1080%0.6911.4
Nuke850%0.438.5
Inferno729%0.518.0
Dust2617%0.5810.3
Overpass367%0.365.7
Train1100%1.009.0

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.

20.2%Headshot accuracy
29.5%Accuracy (enemy spotted)
31.6%Spray accuracy
82.2%Counter-strafing
7.2°Preaim
617msReaction time
32.1%T opening success
28.4%CT opening success
0.39Enemies flashed / flash
0.0%Flash assists
5.38HE damage / grenade
0.79Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3907 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 32.1097% — below the 40% mark we flag

Spend your practice time on Nuke

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.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke7–13-0.0443%31 Aug →
cache13–10-0.0010%31 Aug →
nuke5–13-0.1120%19 Aug →
anubis13–10-0.1024%19 Aug →
anubis13–11-0.0536%17 Aug →
ancient13–5-0.0718%17 Aug →
cache13–50.0522%17 Aug →
nuke16–14-0.0828%17 Aug →
inferno6–90.087%6 Aug →
ancient13–8-0.0322%3 Aug →
mirage13–3-0.0420%31 Jul →
dust213–8-0.0420%29 Jul →
nuke14–16-0.0418%27 Jul →
mirage9–13-0.0719%27 Jul →
cache11–13-0.0422%27 Jul →
mirage8–13-0.1016%27 Jul →
dust210–13-0.045%26 Jul →
ancient10–13-0.0624%26 Jul →
dust213–8-0.0418%23 Jul →
inferno13–16-0.0716%23 Jul →
ancient8–13-0.0915%22 Jul →
cache13–10-0.0320%22 Jul →
cache13–7-0.0320%22 Jul →
inferno13–9-0.0419%22 Jul →
mirage13–8-0.099%22 Jul →
mirage7–13-0.0220%19 Jul →
ancient13–11-0.0418%18 Jul →
nuke3–13-0.0630%18 Jul →
anubis13–10-0.0727%16 Jul →
ancient11–13-0.099%16 Jul →
mirage13–2-0.0324%16 Jul →
cache13–10-0.0517%16 Jul →
nuke8–13-0.0130%16 Jul →
nuke7–13-0.0630%16 Jul →
overpass13–100.0224%13 Jun →
anubis13–60.0118%13 Jun →
mirage11–13-0.0727%13 Jun →
cache13–11-0.0210%13 Jun →
ancient5–13-0.0116%4 Jun →
cache13–9-0.0123%4 Jun →
mirage9–13-0.0824%4 Jun →
nuke8–13-0.0921%4 Jun →
mirage5–13-0.0939%3 Jun →
cache13–60.0017%3 Jun →
inferno9–13-0.0715%3 Jun →
mirage10–13-0.0524%3 Jun →
nuke4–13-0.115%30 May →
dust211–13-0.0920%30 May →
inferno13–60.0621%30 May →
ancient13–10-0.0729%30 May →
cache13–11-0.0434%30 May →
cache13–5-0.0421%25 May →
ancient5–13-0.0125%25 May →
cache12–12-0.0124%24 May →
cache12–12-0.0615%22 May →
mirage0–13-0.104%20 May →
ancient12–12-0.0518%20 May →
ancient6–13-0.036%18 May →
mirage12–12-0.0715%18 May →
cache13–6-0.0022%18 May →
cache10–13-0.0615%18 May →
cache12–12-0.0519%18 May →
cache11–13-0.0527%18 May →
anubis16–12-0.0615%15 May →
nuke4–130.0131%15 May →
overpass13–6-0.0215%15 May →
anubis9–13-0.0417%15 May →
dust23–13-0.0929%15 May →
ancient5–13-0.0528%13 May →
nuke4–13-0.0625%13 May →
cache13–10-0.0517%4 May →
cache13–10-0.0414%4 May →
cache12–12-0.0715%30 Apr →
inferno10–13-0.0214%30 Apr →
mirage6–13-0.138%30 Apr →
cache7–13-0.1012%30 Apr →
cache11–13-0.069%30 Apr →
cache13–4-0.0412%30 Apr →
cache13–6-0.0323%30 Apr →
cache13–8-0.0822%29 Apr →
cache10–13-0.0614%29 Apr →
inferno13–4-0.0219%27 Apr →
mirage13–7-0.059%27 Apr →
ancient11–13-0.0217%27 Apr →
ancient4–13-0.100%23 Apr →
mirage8–13-0.082%23 Apr →
ancient2–13-0.0439%23 Apr →
mirage11–13-0.0812%23 Apr →
mirage16–14-0.0619%23 Apr →
anubis16–12-0.0710%23 Apr →
nuke13–11-0.0315%21 Apr →
mirage8–13-0.0818%21 Apr →
overpass10–13-0.0827%15 Apr →
ancient11–13-0.0530%15 Apr →
mirage13–60.0019%10 Apr →
dust28–13-0.0812%10 Apr →
anubis13–7-0.039%29 Mar →
mirage16–13-0.0622%29 Mar →
dust213–80.0324%29 Mar →
inferno6–13-0.089%27 Mar →

Match data via Leetify.

Recent teammates

Milestones

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

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