JuustoportinPunainenMaito

JuustoportinPunainenMaito — CS2 Stats

76561197986636121[U:1:26370393]Steam profile ↗VAC banned

473Tracked matches38%Win rate2021Tracked since
CSDB Rating4.9 DevelopingSupport
Premier CS Rating10,617Blue band · top ~51.6% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Oct 2026 (9 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: 10,617 -2,449 7 Dec – 27 Oct · 19 days played
10,19213,563peak 13,5637 Dec27 Oct
13,563Peak Premier in tracked matches
39Days played since 2025-12-07

Premier CS Rating

  • 2,946 below peak (13,563)
  • Next: Purple band at 15,000 — 4,383 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.

Share this profile

CSDB.GGJuustoportinPunainenMaitoPREMIER10,617 · Blue bandcsdb.gg/stats

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Performance scores

Aim59
Positioning48
Utility70

0–100 skill scores via Leetify.

Recent form

STEADY47–50–3Last 10047%Win rateWWWLLWLLLW

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −4.3pp headshot accuracy · +59ms reaction

Win rate 0pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 683ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 685ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 27%
  • Avg reaction 655ms

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 against its own average).

Aim5.9
Utility7.0
Positioning4.8
Opening Duels3.2

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

ZywOo

Plays most like ZywOo 77% 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. 669ms 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

Aim5.9
Positioning4.8
Utility7.0
Mechanics6.0
Opening Duels3.6
Win Impact1.0

Composite 4.9/10 (Developing), 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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time681ms−34ms
first ⅓ avg 715ms → last ⅓ avg 681ms
Headshot accuracy25.9%+0.0%
first ⅓ avg 25.9% → last ⅓ avg 25.9%

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

0.19Best match rating · 13–5 · nuke, 17 Dec →
47%Best headshot accuracy · 2–13 · cache, 20 Aug →
438msFastest reaction time · 2–13 · train, 31 Dec →
13–0Biggest win · inferno, 14 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W3Current streak
5–9In matches decided by ≤2 rounds
6Overtime games

Map breakdown

cacheBest map · 75% over 8infernoWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
dust2B2512–1348%0.01
mirageA159–660%0.02
nukeB136–746%0.01
ancientD134–931%0.00
infernoD113–827%0.02
cacheS86–275%-0.02
anubisC73–443%0.03
train—42–250%-0.00
vertigo—21–150%0.02
overpass—21–150%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Inferno 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.

26.1%Headshot accuracy
33.3%Accuracy (enemy spotted)
32.5%Spray accuracy
76.9%Counter-strafing
11.8°Preaim
669msReaction time
45.9%T opening success
43.0%CT opening success
0.60Enemies flashed / flash
8.4%Flash assists
9.14HE damage / grenade
13.33Flashes / match

Recommended for you

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.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–90.0218%27 Oct →
inferno13–50.0522%23 Oct →
mirage13–50.0129%23 Oct →
anubis10–130.0419%22 Oct →
nuke11–13-0.0130%22 Oct →
ancient13–60.0932%22 Oct →
cache2–13-0.0737%20 Oct →
dust24–130.0114%20 Oct →
mirage10–13-0.0725%20 Oct →
nuke13–110.0124%16 Oct →
dust22–13-0.0829%14 Oct →
inferno13–00.0432%14 Oct →
inferno9–130.0931%14 Oct →
cache13–60.0129%14 Oct →
vertigo12–10.0935%13 Oct →
inferno12–120.1239%13 Oct →
mirage3–130.0027%9 Oct →
dust28–13-0.0322%9 Oct →
cache13–9-0.0324%9 Oct →
dust213–20.0524%6 Oct →
dust27–13-0.0333%6 Oct →
nuke2–12-0.0021%3 Oct →
inferno11–13-0.0719%3 Oct →
ancient4–13-0.0724%3 Oct →
dust29–100.0617%3 Oct →
anubis6–13-0.0314%3 Oct →
cache2–13-0.0647%20 Aug →
ancient13–16-0.0526%20 Aug →
cache13–8-0.0127%16 Aug →
vertigo1–8-0.0514%16 Aug →
dust213–10.0629%16 Aug →
dust213–80.1420%6 Jun →
ancient5–130.0024%29 May →
train13–70.0315%21 May →
dust211–13-0.0228%21 May →
cache13–10-0.0124%21 May →
inferno5–0-0.0245%21 May →
nuke13–7-0.0119%14 May →
dust213–60.0321%14 May →
anubis11–130.0112%14 May →
dust213–6-0.0330%6 May →
inferno8–13-0.0515%1 May →
ancient13–60.0615%1 May →
cache13–11-0.0422%1 May →
overpass13–8-0.0017%1 May →
anubis13–60.0119%30 Apr →
inferno13–160.0126%30 Apr →
anubis3–80.0613%30 Apr →
nuke10–13-0.0613%30 Apr →
inferno10–130.0018%30 Apr →
cache13–90.0535%29 Apr →
mirage15–15-0.0125%24 Apr →
nuke7–13-0.0718%24 Apr →
ancient6–130.0224%24 Apr →
mirage13–90.0626%24 Apr →
dust23–13-0.0314%18 Apr →
nuke5–13-0.0716%13 Feb →
ancient13–40.1013%13 Feb →
nuke13–9-0.0114%2 Feb →
mirage13–90.0519%1 Feb →
dust210–13-0.0319%22 Jan →
anubis16–130.0321%22 Jan →
mirage13–100.0726%22 Jan →
anubis13–110.0630%22 Jan →
dust27–13-0.0231%18 Jan →
dust213–20.0320%18 Jan →
mirage13–50.0527%18 Jan →
inferno11–130.0527%15 Jan →
ancient11–13-0.0025%15 Jan →
nuke10–13-0.0343%10 Jan →
dust213–100.0519%10 Jan →
ancient11–13-0.0130%10 Jan →
mirage13–10.0138%31 Dec →
ancient13–6-0.0323%31 Dec →
train7–13-0.0224%31 Dec →
train2–13-0.0629%31 Dec →
mirage7–130.1223%28 Dec →
mirage13–80.0221%27 Dec →
inferno15–15-0.0226%27 Dec →
dust216–12-0.0118%27 Dec →
dust22–130.1133%20 Dec →
dust27–13-0.0134%20 Dec →
mirage13–90.0219%20 Dec →
mirage10–130.0627%20 Dec →
ancient2–130.0616%20 Dec →
train13–70.0422%19 Dec →
overpass9–13-0.0726%18 Dec →
nuke13–30.1928%18 Dec →
mirage9–13-0.0123%18 Dec →
ancient8–13-0.0226%18 Dec →
nuke13–50.1928%17 Dec →
dust213–11-0.0024%17 Dec →
mirage13–11-0.0616%17 Dec →
nuke5–13-0.0331%11 Dec →
dust213–40.0422%11 Dec →
ancient11–13-0.0916%9 Dec →
dust27–13-0.0726%9 Dec →
dust27–130.0934%9 Dec →
nuke13–70.0537%7 Dec →
dust213–80.0119%7 Dec →

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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