Juhtmed

Juhtmed — CS2 Stats

EE76561199261559051[U:1:1301293323]Steam profile ↗✓ No bans

561Tracked matches48%Win rate2025Tracked since
649Hours in CS36Hrs last 2 wks
CSDB Rating4.7 DevelopingPositional Player
Premier CS Rating6,610Light Blue band · top ~71.1% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 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: 6,610 +435 3 Sept – 23 Oct · 29 days played
6,17513,082peak 13,0823 Sept23 Oct
13,486Peak Premier in tracked matches
28Days played since 2026-09-03

Premier CS Rating

  • 6,472 below peak (13,082)
  • -2,276 over 30 days · declining
  • Next: Blue band at 10,000 — 3,390 to go
  • Reached: Blue band · Light Blue band
  • Light Blue band first seen 2026-09-03

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches113——
Win rate47%——
K/D0.87——
Headshot %40%——

Measured 23 Sep 2026 → 24 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate49.6%39.9%42.0%above
Shot accuracy0.0%7.0%9.6%9.6% short
Kill/death ratio0.820.920.980.16 short
Match win rate42.9%42.3%43.8%0.9% short

This profile matches the typical Blue band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGJuhtmedPREMIER6,610 · Light Blue bandcsdb.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

Aim71
Positioning46
Utility42

0–100 skill scores via Leetify.

Recent form

COLD49–49–2Last 10049%Win rateLWLWLLLLLW

Last 10 vs previous 10: −30pp win rate · −0.07 avg rating · −4.3pp headshot accuracy · +27ms reaction

Win rate down 30pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 11%
  • Avg reaction 549ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 12%
  • Avg reaction 574ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 560ms

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 (+1.9 against its own average).

Aim7.1
Utility4.2
Positioning4.6
Opening Duels2.0
Clutch0.0

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

NiKo

Plays most like NiKo 98% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; lower utility contribution.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.1
Positioning4.6
Utility4.2
Mechanics5.4
Opening Duels3.3
Win Impact4.4

Composite 4.7/10 (Developing), 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-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time549ms−28ms
first ⅓ avg 577ms → last ⅓ avg 549ms
Headshot accuracy14.9%+1.8%
first ⅓ avg 13.2% → last ⅓ avg 14.9%

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 · 13–9 · inferno, 19 Oct →
35%Best headshot accuracy · 1–13 · nuke, 3 Oct →
375msFastest reaction time · 5–13 · inferno, 4 Oct →
13–0Biggest win · inferno, 3 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
9–11In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 78% over 23dust2Weakest map · 26% over 19
MapGradePlayedRecordWin rateAvg rating
infernoS2318–578%-0.01
dust2D195–1426%-0.04
nukeB189–950%-0.01
cacheB168–850%-0.00
mirageC114–736%-0.00
ancientB84–450%-0.01
anubis—41–325%-0.02
train—10–10%0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (26% over 19). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

10,460Lifetime kills
0.82K/D
795Matches
42.9%Match win rate · Top 50% of Light Blue band
49.6%Headshot % · Top 25% of Light Blue band
0.0%Shot accuracy
1,153MVPs
304Hours (in match)
527Bombs planted
151Bombs defused

Most-used weapons

Lifetime map wins

1,463dust2
1,422inferno
857nuke
102train
77office
72vertigo
4italy
1ar_shoots

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

Faceit stats

Combat

2Matches
0%Win rate
0.62Avg K/D
55.4ADR
55%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

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.

15.0%Headshot accuracy
35.6%Accuracy (enemy spotted)
33.4%Spray accuracy
74.4%Counter-strafing
7.5°Preaim
546msReaction time
50.9%T opening success
35.9%CT opening success
0.39Enemies flashed / flash
3.3%Flash assists
4.81HE damage / grenade
8.62Flashes / 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 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.9674% — below the 15% mark we flag

    Aim Training →
  2. 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 0.3873 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

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

    CT opening duels 35.9126% — below the 40% mark we flag

Spend your practice time on Dust 2

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

26% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient11–13-0.1014%23 Oct →
cache13–5-0.0713%23 Oct →
dust214–16-0.119%23 Oct →
mirage13–40.0216%23 Oct →
nuke5–13-0.065%23 Oct →
dust27–13-0.047%22 Oct →
dust23–13-0.1014%22 Oct →
dust211–13-0.0815%22 Oct →
cache9–13-0.0115%21 Oct →
cache13–10.0716%21 Oct →
dust23–13-0.0124%20 Oct →
nuke13–10.1019%20 Oct →
nuke13–2-0.0017%20 Oct →
inferno10–10.1210%20 Oct →
dust24–13-0.0611%20 Oct →
nuke13–11-0.0410%20 Oct →
cache3–13-0.0523%20 Oct →
cache13–90.0318%20 Oct →
mirage12–16-0.0212%19 Oct →
inferno13–90.1922%19 Oct →
inferno15–150.0310%19 Oct →
nuke8–4-0.0320%19 Oct →
inferno13–50.0213%18 Oct →
dust211–13-0.0420%18 Oct →
nuke13–50.0128%18 Oct →
inferno13–7-0.059%18 Oct →
ancient13–50.0616%18 Oct →
dust28–13-0.0522%15 Oct →
nuke4–13-0.0216%15 Oct →
mirage9–13-0.0214%15 Oct →
anubis7–13-0.0414%15 Oct →
dust28–13-0.0114%14 Oct →
mirage8–13-0.066%14 Oct →
cache13–40.066%14 Oct →
mirage9–130.0114%14 Oct →
ancient13–60.007%14 Oct →
ancient10–13-0.0213%13 Oct →
nuke9–13-0.025%12 Oct →
cache10–13-0.0212%12 Oct →
dust213–4-0.0316%12 Oct →
nuke11–13-0.047%12 Oct →
nuke13–11-0.0715%12 Oct →
cache11–13-0.0519%8 Oct →
dust25–13-0.0315%8 Oct →
dust27–13-0.0121%8 Oct →
ancient11–13-0.052%7 Oct →
train12–120.0310%7 Oct →
dust211–130.0012%6 Oct →
cache10–13-0.0213%6 Oct →
inferno16–14-0.079%5 Oct →
inferno7–13-0.0717%5 Oct →
mirage9–130.028%5 Oct →
inferno8–13-0.0511%5 Oct →
nuke11–13-0.0710%4 Oct →
inferno5–13-0.0811%4 Oct →
nuke13–90.0614%4 Oct →
inferno13–0-0.0410%3 Oct →
nuke1–13-0.0735%3 Oct →
nuke13–50.094%3 Oct →
cache11–13-0.0210%2 Oct →
dust213–11-0.0516%2 Oct →
mirage4–13-0.049%2 Oct →
inferno16–120.0121%2 Oct →
dust213–70.0219%2 Oct →
inferno13–6-0.0621%30 Sept →
inferno13–80.007%29 Sept →
dust213–11-0.0711%29 Sept →
dust28–13-0.0716%29 Sept →
cache7–13-0.0321%29 Sept →
cache12–4-0.0311%29 Sept →
inferno13–80.0311%28 Sept →
dust216–13-0.0515%28 Sept →
anubis7–13-0.025%27 Sept →
cache8–13-0.029%27 Sept →
ancient6–0-0.014%27 Sept →
cache13–50.0015%27 Sept →
inferno2–130.038%27 Sept →
inferno13–11-0.0515%27 Sept →
inferno13–10-0.0118%26 Sept →
inferno13–8-0.0010%26 Sept →
ancient13–9-0.0112%26 Sept →
nuke7–13-0.0412%26 Sept →
mirage11–130.0322%25 Sept →
nuke12–16-0.0214%25 Sept →
inferno13–11-0.038%25 Sept →
anubis13–90.0219%25 Sept →
dust28–13-0.0414%25 Sept →
mirage13–11-0.0210%25 Sept →
inferno13–90.0111%25 Sept →
anubis5–13-0.0513%24 Sept →
cache13–100.069%24 Sept →
inferno13–5-0.038%24 Sept →
inferno13–11-0.0122%24 Sept →
mirage13–7-0.0616%23 Sept →
inferno13–4-0.0513%22 Sept →
cache13–90.0020%20 Sept →
nuke13–00.0513%20 Sept →
mirage13–40.086%20 Sept →
nuke8–13-0.0428%19 Sept →
ancient12–160.0112%19 Sept →

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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