Jylhätuho

Jylhätuho — CS2 Stats

FI76561198170802419[U:1:210536691]Steam profile ↗✓ No bans

1,572Tracked matches52%Win rate2020Tracked since
CSDB Rating5.8 SolidSupport
Premier CS Rating19,303Top 50% of 213,211 CSDB-tracked playersPurple band · top ~11.3% of ranked players (population est.)
CSDB Leaderboard#95758 of 259970 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 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: 19,303 +2,674 26 Oct – 4 Nov · 11 days played
15,58320,077peak 20,07726 Oct4 Nov
20,077Peak Premier in tracked matches
46Days played since 2025-09-24

Premier CS Rating

  • 774 below peak (20,077)
  • -774 over 30 days · declining
  • Next: Pink band at 20,000 — 697 to go
  • Reached: Pink band · Purple band · 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.GGJylhätuhoFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER19,303 · Purple bandcsdb.gg/stats

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Performance scores

Aim67
Positioning52
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY45–50–5Last 10045%Win rateWWLLLWWLWL

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · +2.5pp headshot accuracy · −76ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 24%
  • Avg reaction 583ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 24%
  • Avg reaction 556ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 23%
  • Avg reaction 593ms

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 (+1 against its own average).

Aim6.7
Utility5.9
Positioning5.2
Opening Duels4.3
Clutch4.0

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

m0NESY

Plays most like m0NESY 84% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

T-side openings. Opening success drops from 55% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 587ms 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

Aim6.7
Positioning5.2
Utility5.9
Mechanics6.5
Opening Duels3.1
Win Impact5.6

Composite 5.8/10 (Solid), 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-0.03−0.03
first ⅓ avg -0.00 → last ⅓ avg -0.03
Reaction time584ms−21ms
first ⅓ avg 605ms → last ⅓ avg 584ms
Headshot accuracy26.0%+6.8%
first ⅓ avg 19.1% → last ⅓ avg 26.0%

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

0.15Best match rating · 13–8 · vertigo, 26 Oct →
100%Best headshot accuracy · 4–9 · dust2, 19 Jul →
344msFastest reaction time · 6–13 · vertigo, 19 Jul →
13–1Biggest win · cache, 3 May →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W2Current streak
4–7In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 58% over 12trainWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
cacheB209–1145%-0.01
vertigoC146–843%-0.00
nukeA127–558%-0.02
infernoB105–550%-0.03
mirageD103–730%-0.01
overpassC83–538%-0.03
dust2B63–350%-0.02
trainD61–517%-0.03
ancientB63–350%-0.02
anubis—43–175%-0.02
palacio—21–150%-0.04
golden—11–0100%0.03
grail—10–10%-0.10

Across the last 100 tracked matches.

Faceit stats

Combat

1,167Matches
50%Win rate
0.94Avg K/D
75.4ADR
40%Headshot %

Clutches & streaks

40%1v1 clutch win
14%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2143%1.1513.6
Inferno1656%0.9513.2
Vertigo1669%1.1415.9
Ancient1457%0.8413.3
Anubis1354%0.9716.4
Dust21233%0.8913.6
Nuke1145%0.9215.7
Train683%1.4719.0

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.

23.2%Headshot accuracy
31.1%Accuracy (enemy spotted)
32.4%Spray accuracy
79.2%Counter-strafing
10.0°Preaim
587msReaction time
30.5%T opening success
54.5%CT opening success
0.57Enemies flashed / flash
10.3%Flash assists
8.49HE damage / grenade
11.59Flashes / 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 30.4571% — below the 40% mark we flag

Spend your practice time on Train

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 6 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke13–11-0.065%4 Nov →
inferno13–50.0434%4 Nov →
overpass3–9-0.1832%27 Oct →
mirage12–16-0.0423%26 Oct →
dust25–130.0326%22 Oct →
cache13–11-0.0621%22 Oct →
cache13–7-0.0322%13 Oct →
nuke8–130.0419%12 Oct →
nuke13–7-0.0031%12 Oct →
train11–13-0.0427%12 Oct →
vertigo9–60.0324%31 Aug →
inferno12–12-0.0821%26 Aug →
vertigo13–5-0.0615%26 Aug →
cache11–130.0630%25 Aug →
cache13–100.0223%23 Jul →
vertigo13–4-0.0125%23 Jul →
nuke7–13-0.0627%22 Jul →
cache13–100.0125%22 Jul →
anubis2–13-0.0811%22 Jul →
inferno13–9-0.0814%21 Jul →
nuke6–13-0.0735%21 Jul →
nuke13–10-0.0327%21 Jul →
nuke10–13-0.0910%19 Jul →
inferno9–13-0.0521%19 Jul →
dust213–70.047%19 Jul →
ancient5–13-0.0832%19 Jul →
vertigo11–13-0.0435%19 Jul →
overpass13–80.0327%19 Jul →
nuke13–5-0.0326%19 Jul →
vertigo6–13-0.0435%19 Jul →
nuke6–00.0926%19 Jul →
dust213–16-0.0621%19 Jul →
dust24–9-0.14100%19 Jul →
inferno13–70.0321%19 Jul →
dust213–6-0.049%19 Jul →
inferno7–13-0.0517%19 Jul →
mirage13–4-0.017%19 Jul →
dust23–00.0533%19 Jul →
train7–130.0131%19 Jul →
vertigo11–13-0.0125%19 Jul →
vertigo10–13-0.0513%29 Jun →
cache13–4-0.0030%24 Jun →
vertigo0–13-0.0831%24 Jun →
anubis13–90.0418%17 Jun →
mirage9–130.0020%17 Jun →
cache7–130.0213%16 Jun →
vertigo11–13-0.0129%16 Jun →
overpass4–13-0.0717%15 Jun →
inferno8–130.0139%15 Jun →
mirage4–13-0.0623%15 Jun →
inferno13–5-0.1245%30 May →
cache12–12-0.0022%13 May →
vertigo6–13-0.0120%12 May →
train13–4-0.0224%12 May →
cache12–12-0.0723%12 May →
cache6–13-0.0413%11 May →
cache6–13-0.0433%7 May →
cache9–130.0132%7 May →
cache13–4-0.0224%7 May →
cache11–13-0.0318%7 May →
cache9–13-0.0628%5 May →
cache13–8-0.0221%5 May →
cache13–80.0126%5 May →
cache5–13-0.0337%3 May →
cache13–10.0133%3 May →
cache7–130.0116%3 May →
ancient13–9-0.0811%12 Feb →
mirage5–13-0.0326%6 Feb →
inferno6–13-0.0742%6 Feb →
ancient15–150.0117%6 Feb →
vertigo13–100.0914%6 Feb →
nuke13–70.0016%29 Jan →
anubis13–9-0.0415%29 Jan →
ancient13–11-0.0120%29 Jan →
anubis16–120.0113%28 Jan →
mirage13–110.0112%28 Jan →
inferno13–40.107%27 Jan →
mirage6–13-0.0219%24 Jan →
ancient13–30.0118%18 Jan →
vertigo13–60.0320%27 Dec →
overpass2–13-0.050%22 Nov →
overpass15–15-0.0224%22 Nov →
mirage13–30.0419%22 Nov →
overpass10–13-0.0520%21 Nov →
mirage10–13-0.0214%10 Nov →
nuke13–10-0.0326%6 Nov →
ancient9–130.0017%4 Nov →
train8–13-0.0321%1 Nov →
overpass13–80.0613%26 Oct →
vertigo13–80.1535%26 Oct →
train11–13-0.0124%18 Oct →
nuke8–130.0013%12 Oct →
palacio6–13-0.0722%12 Oct →
mirage6–13-0.0124%12 Oct →
train9–13-0.0619%12 Oct →
palacio13–8-0.0036%9 Oct →
golden13–70.0327%9 Oct →
overpass13–50.0713%29 Sept →
grail5–13-0.104%26 Sept →
vertigo10–13-0.0424%24 Sept →

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 →

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