Juhaniplayer

Juhaniplayer — CS2 Stats

EE76561198396234127[U:1:435968399]Steam profile ↗

730Tracked matches41%Win rate2023Tracked since
1,504Hours in CS13Hrs last 2 wks
CSDB Rating2.6 Learning
Premier CS Rating12,185Blue band · top ~43.3% of ranked players (population est.)
CSDB Leaderboard#17944 of 25663 tracked
WingmanGold Nova I
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=1,240), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate39.1%41.7%44.1%5.0% short
Shot accuracy2.8%8.8%11.4%8.6% short
Kill/death ratio0.860.971.030.17 short
Match win rate41.0%43.8%45.2%4.2% short

This profile sits below the typical Purple band player on every metric we can compare.

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

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CSDB.GGJuhaniplayerPREMIER12,185 · Blue bandcsdb.gg/stats

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Performance scores

Aim33
Positioning30
Utility49

0–100 skill scores via Leetify.

Recent form

COLD53416Last 10053%Win rateLLLTLLWLLL

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

Aim3.3
Aggression2.4
Utility4.9
Positioning3.0
Opening Duels0.0
Clutch3.6

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 70% 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 37% on CT to 18% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 560ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 55% 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

Aim3.3
Positioning3.0
Utility4.9
Mechanics1.0
Opening Duels0.9
Win Impact2.1

Composite 2.6/10 (Learning), 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 rating-0.04−0.03
first ⅓ avg -0.01 → last ⅓ avg -0.04
Reaction time558ms−98ms
first ⅓ avg 655ms → last ⅓ avg 558ms
Headshot accuracy16.8%−0.7%
first ⅓ avg 17.6% → last ⅓ avg 16.8%

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.

Highlights

0.15Best rating — office 13–10
131Biggest win — nuke
8Longest win streak
L3Current streak
53In matches decided by ≤2 rounds
5Overtime games

Map breakdown

infernoBest map · 67% over 12mirageWeakest map · 28% over 18
MapGradePlayedRecordWin rateAvg rating
mirageD1851328%-0.01
nukeB178947%-0.03
infernoS128467%-0.03
cacheA116555%-0.03
dust2S96367%-0.00
anubisC94544%-0.03
officeA95456%0.02
ancientS96367%0.01
overpass43175%-0.00
train220100%-0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (28% over 18). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

31,985Lifetime kills
0.86K/D
2,213Matches
41.0%Match win rate
39.1%Headshot %
2.8%Shot accuracy
3,609MVPs
779Hours (in match)
1,194Bombs planted
373Bombs defused

Most-used weapons

Lifetime map wins

3,117dust2
2,488nuke
2,412inferno
629vertigo
575train
291office
19italy
3ar_shoots

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

Faceit stats

Combat

7Matches
57%Win rate
1.36Avg K/D
81.9ADR
43%Headshot %

Clutches & streaks

38%1v1 clutch win
20%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Nuke475%1.4019.0
Ancient1100%2.4317.0
Inferno10%0.466.0
Dust210%1.0015.0

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.

17.2%Headshot accuracy
26.7%Accuracy (enemy spotted)
28.7%Spray accuracy
54.7%Counter-strafing
9.8°Preaim
560msReaction time
18.3%T opening success
37.0%CT opening success
0.48Enemies flashed / flash
1.7%Flash assists
6.24HE damage / grenade
13.92Flashes / 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 0.4753 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 18.2758% — below the 40% mark we flag

Spend your practice time on Mirage

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

28% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage7–13-0.0623%25 Aug
dust22–13-0.0620%25 Aug
inferno7–13-0.0919%25 Aug
mirage12–120.0310%25 Aug
cache7–13-0.058%25 Aug
nuke5–13-0.1112%25 Aug
inferno13–10-0.0417%19 Aug
anubis1–13-0.1410%19 Aug
dust23–13-0.0319%19 Aug
anubis11–13-0.0314%19 Aug
office11–13-0.0816%18 Aug
train12–4-0.0315%18 Aug
train13–7-0.0318%18 Aug
nuke10–13-0.0627%12 Aug
nuke5–13-0.0516%12 Aug
nuke6–13-0.0623%12 Aug
dust213–9-0.0117%12 Aug
nuke10–130.0013%12 Aug
inferno8–13-0.0312%12 Aug
cache3–13-0.0111%11 Aug
anubis8–13-0.0414%11 Aug
ancient13–16-0.0313%11 Aug
inferno13–7-0.0019%7 Aug
mirage13–90.0722%7 Aug
nuke13–10.0424%7 Aug
mirage13–10-0.0638%2 Aug
cache13–10-0.0318%2 Aug
anubis13–50.0319%2 Aug
dust213–10-0.0318%2 Aug
ancient13–90.0113%1 Aug
anubis15–15-0.0514%1 Aug
nuke4–13-0.0817%1 Aug
office13–10-0.0410%1 Aug
cache13–11-0.035%31 Jul
ancient16–13-0.0415%31 Jul
nuke13–4-0.0115%31 Jul
office13–60.0415%31 Jul
office13–100.0111%31 Jul
anubis13–6-0.0019%28 Jul
anubis13–8-0.0215%28 Jul
ancient6–130.0113%27 Jul
cache7–13-0.1315%27 Jul
nuke10–13-0.079%27 Jul
anubis3–130.0017%25 Jul
dust213–7-0.0315%24 Jul
ancient16–13-0.0019%22 Jul
mirage4–13-0.058%22 Jul
nuke13–70.0820%22 Jul
cache13–60.0310%22 Jul
office12–120.0219%22 Jul
anubis13–8-0.0320%20 Jul
ancient13–90.0718%18 Jul
nuke13–8-0.0212%18 Jul
dust213–80.0619%18 Jul
inferno13–8-0.0019%17 Jul
mirage11–130.0310%17 Jul
mirage8–13-0.0520%17 Jul
mirage8–13-0.0116%12 Jul
inferno16–13-0.0420%12 Jul
inferno9–13-0.066%12 Jul
office12–12-0.0221%11 Jul
nuke13–9-0.0515%10 Jul
cache13–110.0116%10 Jul
inferno13–60.0122%9 Jul
ancient13–80.1214%9 Jul
dust213–50.0220%9 Jul
office13–100.1512%9 Jul
office5–130.0227%9 Jul
office13–60.0812%8 Jul
overpass13–110.0518%8 Jul
cache13–9-0.0413%8 Jul
overpass13–8-0.057%8 Jul
mirage1–13-0.067%8 Jul
mirage7–130.0425%8 Jul
inferno9–6-0.0425%8 Jul
cache7–13-0.0116%8 Jul
cache13–2-0.0321%8 Jul
mirage13–9-0.0424%8 Jul
mirage4–13-0.0519%7 Jul
mirage9–130.0111%7 Jul
mirage12–120.0918%7 Jul
mirage5–2-0.0321%7 Jul
ancient13–90.0217%7 Jul
inferno13–110.0716%6 Jul
nuke4–13-0.0416%6 Jul
dust213–60.1016%5 Jul
nuke13–8-0.0320%5 Jul
cache3–12-0.0817%5 Jul
overpass10–130.0513%3 Jul
nuke13–2-0.0411%3 Jul
nuke6–00.0456%3 Jul
inferno8–13-0.0310%2 Jul
mirage7–13-0.0314%1 Jul
nuke8–130.0116%1 Jul
dust210–13-0.0717%1 Jul
mirage13–10.0013%30 Jun
ancient12–12-0.0421%30 Jun
mirage10–13-0.0314%30 Jun
overpass11–1-0.0618%30 Jun
inferno13–11-0.0911%30 Jun

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 →