Juhosti

Juhosti — CS2 Stats

FI76561198017855269[U:1:57589541]Steam profile ↗✓ No bans

998Tracked matches55%Win rate2020Tracked since
4,455Hours in CS21Hrs last 2 wks
CSDB Rating5.3 DevelopingPositional Player
CSDB Leaderboard#27607 of 259984 tracked
FaceitLevel 8 · 1,610 ELOTop 31.2% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 24,550 +3,916 24 May – 1 Oct · 13 days played
20,63424,999peak 24,99924 May1 Oct
25,108Peak Premier in tracked matches
1,610Highest Faceit ELO seen on CSDB
45Days played since 2026-04-08

Faceit ELO

  • At peak — 1,610
  • Next: Level 9 at 1,751 — 141 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.

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=15,525), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 8 medianLevel 9 medianvs Level 9
Headshot rate45.5%46.8%48.2%2.7% short
Shot accuracy12.3%13.0%13.2%0.9% short
Kill/death ratio1.151.061.07above
Match win rate38.8%46.3%46.9%8.1% short

This profile matches the typical Level 9 player on 1 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGJuhostiFACEITLevel 8 · 1,610 ELOSTANDINGTop 31.2% of rankedPEAK ELO1,610csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim68
Positioning50
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY53–42–5Last 10053%Win rateLWLLWWLWLW

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · −1.6pp headshot accuracy · −91ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 526ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 525ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 570ms

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 (+1.4 against its own average).

Aim6.8
Utility4.2
Positioning5.0
Opening Duels1.3
Clutch3.8

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

iM

Plays most like iM 96% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; lower opening-duel success.

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. 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

Aim6.8
Positioning5.0
Utility4.2
Mechanics6.4
Opening Duels2.9
Win Impact6.7

Composite 5.3/10 (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 0.00 → last ⅓ avg 0.01
Reaction time588ms−68ms
first ⅓ avg 656ms → last ⅓ avg 588ms
Headshot accuracy18.7%+0.3%
first ⅓ avg 18.4% → last ⅓ avg 18.7%

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

0.24Best match rating · 9–2 · inferno, 12 Jun →
40%Best headshot accuracy · 7–9 · nuke, 24 May →
422msFastest reaction time · 13–9 · nuke, 19 Oct →
13–2Biggest win · cache, 1 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–11In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 61% over 23ancientWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
nukeA2314–961%0.02
cacheB168–850%-0.00
infernoB136–746%0.01
dust2A116–555%-0.01
anubisB105–550%0.01
ancientD93–633%0.01
mirageC94–544%0.00
vertigo—32–167%0.02
office—33–0100%0.02
overpass—22–0100%0.06
train—10–10%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

146,584Lifetime kills
1.15K/D · Top 50% of Level 8 players
7,059Matches
38.8%Match win rate
45.5%Headshot %
12.3%Shot accuracy
13,204MVPs
2,600Hours (in match)
6,966Bombs planted
1,569Bombs defused

Most-used weapons

AK-4745,945
AWP20,773
SSG 083,357
SG 5533,256
P903,035

Lifetime map wins

8,266inferno
8,197nuke
7,475dust2
3,143train
1,594vertigo
440cbble
329office
122lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

985Matches
52%Win rate
1.18Avg K/D
78.9ADR
47%Headshot %

Clutches & streaks

39%1v1 clutch win
21%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage17446%1.1215.1
Nuke13764%1.1717.0
Inferno7264%1.0914.7
Dust26343%1.0614.4
Anubis4840%1.2116.9
Ancient4330%1.0314.9
Train3669%1.1616.5
Overpass2429%0.8814.6

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.

18.9%Headshot accuracy
33.8%Accuracy (enemy spotted)
34.0%Spray accuracy
78.7%Counter-strafing
9.2°Preaim
587msReaction time
44.7%T opening success
38.2%CT opening success
0.49Enemies flashed / flash
1.9%Flash assists
4.11HE damage / grenade
6.38Flashes / 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 0.4944 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

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

    CT opening duels 38.1645% — below the 40% mark we flag

Spend your practice time on Ancient

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient4–130.0428%30 Oct →
mirage13–9-0.0510%30 Oct →
mirage3–13-0.028%27 Oct →
cache11–130.0115%22 Oct →
nuke13–90.0514%21 Oct →
inferno13–11-0.0013%20 Oct →
ancient11–130.0213%20 Oct →
ancient13–80.0823%20 Oct →
mirage6–13-0.0225%20 Oct →
nuke13–90.0819%19 Oct →
nuke13–30.0215%19 Oct →
inferno4–13-0.029%12 Oct →
mirage13–60.0927%12 Oct →
anubis13–11-0.0613%11 Oct →
nuke5–130.0216%3 Oct →
cache4–13-0.0318%1 Oct →
cache13–20.1031%1 Oct →
nuke15–15-0.0022%30 Sept →
cache13–80.0321%30 Sept →
dust28–13-0.0113%29 Sept →
nuke13–60.0328%21 Sept →
anubis13–80.0527%21 Sept →
anubis13–100.0517%21 Sept →
dust29–13-0.0325%21 Sept →
dust213–2-0.0311%21 Sept →
inferno8–130.0021%19 Sept →
mirage14–16-0.0324%7 Sept →
nuke13–50.0417%2 Aug →
anubis9–13-0.0219%1 Aug →
vertigo13–9-0.0223%1 Aug →
dust213–90.0121%27 Jul →
anubis8–130.0324%27 Jul →
nuke7–130.027%26 Jul →
cache16–130.0016%25 Jul →
nuke3–13-0.0417%18 Jul →
anubis1–70.0715%18 Jul →
cache13–6-0.0316%18 Jul →
cache13–50.0117%18 Jul →
dust216–14-0.0716%18 Jul →
ancient0–13-0.050%18 Jul →
ancient13–80.0316%18 Jul →
cache13–6-0.0113%15 Jul →
nuke13–40.0334%15 Jul →
nuke13–80.0421%12 Jul →
anubis15–15-0.069%12 Jul →
inferno11–13-0.0516%12 Jul →
nuke13–50.0927%12 Jul →
nuke13–40.0124%11 Jul →
dust25–13-0.0212%11 Jul →
cache7–13-0.0213%10 Jul →
dust213–9-0.0216%10 Jul →
inferno16–14-0.0316%10 Jul →
office13–80.0523%10 Jul →
cache11–130.0622%25 Jun →
overpass13–90.0525%17 Jun →
anubis16–140.0627%17 Jun →
inferno16–12-0.0124%17 Jun →
train11–13-0.0314%17 Jun →
inferno11–13-0.0324%14 Jun →
dust213–90.0118%14 Jun →
nuke13–80.0417%12 Jun →
inferno9–20.2439%12 Jun →
inferno8–13-0.0616%9 Jun →
ancient10–13-0.0030%4 Jun →
inferno13–90.0930%4 Jun →
dust213–60.0636%4 Jun →
nuke13–30.079%4 Jun →
vertigo13–70.1215%3 Jun →
anubis13–40.0913%28 May →
nuke4–130.0611%26 May →
ancient11–130.0013%25 May →
nuke13–90.0130%25 May →
dust29–13-0.0323%24 May →
ancient6–13-0.047%24 May →
mirage13–60.0932%24 May →
mirage4–130.0026%24 May →
nuke7–13-0.088%24 May →
nuke16–140.0514%24 May →
nuke13–50.0226%24 May →
inferno13–100.019%24 May →
nuke7–90.0140%24 May →
overpass9–60.0812%24 May →
cache6–13-0.0419%24 May →
cache13–9-0.0311%23 May →
cache12–12-0.0315%16 May →
nuke8–13-0.0511%15 May →
cache11–13-0.0323%14 May →
office13–100.0122%13 May →
office13–60.0120%13 May →
inferno15–150.0421%7 May →
nuke11–130.0114%3 May →
dust28–13-0.0216%3 May →
anubis5–13-0.0623%3 May →
mirage13–80.0019%2 May →
inferno10–13-0.0026%2 May →
ancient13–100.0414%2 May →
cache13–5-0.0318%2 May →
cache7–130.0018%2 May →
mirage9–13-0.0521%2 May →
vertigo12–12-0.0413%8 Apr →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.