Mutsis pillu

Mutsis pillu — CS2 Stats

76561199259450187[U:1:1299184459]Steam profile ↗✓ No bans

255Tracked matches41%Win rate2022Tracked since
CSDB Rating3.0 LearningSupport
Premier CS Rating5,126Light Blue band · top ~78.2% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Oct 2026 (yesterday). 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: 5,126 -2,871 16 Sept – 13 Oct · 9 days played
5,12610,466peak 10,46616 Sept13 Oct
10,466Peak Premier in tracked matches
34Days played since 2023-09-03

Premier CS Rating

  • 5,340 below peak (10,466)
  • Next: Blue band at 10,000 — 4,874 to go
  • Reached: Blue band · Light Blue band

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

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CSDB.GGMutsis pilluPREMIER5,126 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim27
Positioning39
Utility55

0–100 skill scores via Leetify.

Recent form

COLD46–48–6Last 10046%Win rateLLLLLWLLLL

Last 10 vs previous 10: −70pp win rate · −0.04 avg rating · +9.7pp headshot accuracy · +106ms reaction

Win rate down 70pp 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

  • 0–5 · 0% win rate
  • Avg rating -0.08
  • Avg headshot accuracy 39%
  • Avg reaction 864ms

Last 10

  • 1–9 · 10% win rate
  • Avg rating -0.08
  • Avg headshot accuracy 29%
  • Avg reaction 819ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 24%
  • Avg reaction 766ms

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 (+2.3 against its own average).

Aim2.7
Utility5.5
Positioning3.9
Opening Duels0.1

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 63% 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

CT openings. Opening success drops from 43% on T to 27% on CT — first contacts on the defending side are being lost.

Reaction time. 729ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim2.7
Positioning3.9
Utility5.5
Mechanics3.6
Opening Duels1.7
Win Impact2.1

Composite 3.0/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.05−0.04
first ⅓ avg -0.01 → last ⅓ avg -0.05
Reaction time729ms+72ms
first ⅓ avg 657ms → last ⅓ avg 729ms
Headshot accuracy19.8%+3.9%
first ⅓ avg 15.9% → last ⅓ avg 19.8%

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

0.11Best match rating · 13–6 · inferno, 16 Sept →
67%Best headshot accuracy · 0–6 · inferno, 1 Mar →
375msFastest reaction time · 0–6 · inferno, 1 Mar →
13–1Biggest win · office, 18 Apr →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L5Current streak
2–6In matches decided by ≤2 rounds
9Overtime games

Map breakdown

overpassBest map · 71% over 7anubisWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
infernoA1911–858%-0.02
dust2D123–925%-0.07
nukeC125–742%-0.04
mirageC125–742%-0.04
ancientC104–640%-0.03
anubisD92–722%-0.05
cacheA85–363%-0.05
overpassS75–271%-0.01
vertigoB63–350%-0.03
officeA53–260%-0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

20.5%Headshot accuracy
27.7%Accuracy (enemy spotted)
29.8%Spray accuracy
66.3%Counter-strafing
11.8°Preaim
729msReaction time
43.4%T opening success
27.1%CT opening success
0.52Enemies flashed / flash
5.7%Flash assists
6.00HE damage / grenade
21.61Flashes / 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. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 728.853ms — above the 700ms mark we flag

    Aim Training →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 27.0734% — below the 40% mark we flag

Spend your practice time on Anubis

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust210–13-0.0550%13 Oct →
dust21–13-0.0844%13 Oct →
nuke3–13-0.0933%13 Oct →
dust210–13-0.0927%13 Oct →
dust23–13-0.0838%13 Oct →
mirage13–60.0032%13 Oct →
dust212–16-0.0923%9 Oct →
nuke11–13-0.0819%9 Oct →
mirage10–13-0.096%9 Oct →
mirage4–13-0.1320%9 Oct →
inferno8–13-0.139%9 Oct →
inferno13–6-0.0535%7 Oct →
cache13–6-0.0333%7 Oct →
anubis13–5-0.0411%7 Oct →
cache13–6-0.0628%7 Oct →
ancient13–9-0.0217%6 Oct →
inferno13–70.0216%6 Oct →
dust213–70.0126%6 Oct →
anubis9–13-0.079%18 Sept →
inferno13–2-0.0211%18 Sept →
anubis0–13-0.0733%18 Sept →
ancient2–13-0.1010%18 Sept →
inferno4–13-0.0313%18 Sept →
nuke0–13-0.0415%18 Sept →
inferno13–10-0.067%18 Sept →
ancient13–80.0614%18 Sept →
cache16–130.0212%17 Sept →
overpass12–12-0.0113%17 Sept →
ancient7–9-0.0710%16 Sept →
cache11–13-0.1015%16 Sept →
nuke0–13-0.030%16 Sept →
inferno15–15-0.0813%15 Sept →
anubis9–130.0011%15 Sept →
ancient4–13-0.0148%15 Sept →
inferno13–9-0.0719%9 Sept →
vertigo13–10-0.0519%9 Sept →
cache4–13-0.0525%9 Sept →
inferno13–100.0115%6 Jun →
dust21–13-0.1017%6 Jun →
vertigo11–13-0.0717%6 Jun →
vertigo6–13-0.0412%6 Jun →
mirage7–13-0.0517%6 Jun →
nuke13–6-0.0212%30 May →
cache13–11-0.0613%20 May →
overpass13–7-0.0330%20 May →
office13–11-0.0411%19 May →
office8–13-0.0536%19 May →
office13–4-0.140%6 May →
cache8–13-0.0921%6 May →
cache13–7-0.0430%6 May →
mirage13–20.0020%5 Apr →
ancient9–13-0.0429%5 Apr →
mirage13–8-0.0520%5 Apr →
inferno14–16-0.0515%5 Apr →
anubis4–13-0.0317%5 Apr →
dust213–6-0.0420%5 Apr →
vertigo5–13-0.1015%2 Apr →
inferno2–130.010%2 Apr →
office2–13-0.056%2 Apr →
dust20–13-0.1014%2 Apr →
overpass16–13-0.0112%2 Apr →
mirage13–5-0.0814%31 Mar →
inferno13–4-0.0631%31 Mar →
anubis13–4-0.0926%31 Mar →
mirage8–13-0.0220%31 Mar →
mirage13–4-0.0131%31 Mar →
nuke15–15-0.1115%31 Mar →
anubis3–13-0.0518%8 Mar →
dust213–10-0.0127%1 Mar →
inferno11–13-0.0013%1 Mar →
ancient10–13-0.0436%1 Mar →
inferno0–6-0.0367%1 Mar →
dust23–13-0.0532%1 Mar →
mirage4–13-0.0525%1 Mar →
anubis12–12-0.0320%24 Sept →
nuke5–13-0.097%26 Dec →
dust22–13-0.113%26 Dec →
anubis3–13-0.0613%26 Dec →
overpass13–20.026%21 Nov →
ancient6–13-0.0114%21 Nov →
vertigo13–4-0.0119%21 Nov →
inferno13–40.0011%22 Sept →
inferno15–150.0312%17 Sept →
inferno13–60.1110%16 Sept →
ancient13–3-0.0514%16 Sept →
inferno13–40.016%13 Sept →
mirage15–150.018%13 Sept →
office13–10.0711%18 Apr →
ancient13–10-0.075%18 Apr →
inferno13–3-0.033%18 Apr →
nuke13–9-0.0019%17 Dec →
overpass13–50.0317%27 Sept →
nuke13–30.0213%27 Sept →
nuke13–100.0115%12 Sept →
nuke8–130.0325%6 Sept →
overpass7–13-0.0213%5 Sept →
mirage10–13-0.055%5 Sept →
nuke13–10-0.0217%5 Sept →
vertigo13–60.077%4 Sept →
overpass16–13-0.0216%3 Sept →

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 →

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