Jukka

Jukka — CS2 Stats

76561199037760140[U:1:1077494412]Steam profile ↗✓ No bans

223Tracked matches52%Win rate2024Tracked since
CSDB Rating6.0 SolidPositional Player
Premier CS Rating13,982Blue band · top ~33.8% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Aug 2026 (46 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: 13,982 +4,403 5 Mar – 27 Aug · 10 days played
9,57913,982peak 13,9825 Mar27 Aug
14,190Peak Premier in tracked matches
41Days played since 2025-09-28

Premier CS Rating

  • At peak — 13,982
  • Next: Purple band at 15,000 — 1,018 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.GGJukkaFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER13,982 · Blue bandcsdb.gg/stats

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Performance scores

Aim77
Positioning68
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY54–41–5Last 10054%Win rateLLWTLWLLWW

Last 10 vs previous 10: −20pp win rate · −0.05 avg rating · −2.0pp headshot accuracy · +118ms reaction

Win rate down 20pp 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 20%
  • Avg reaction 644ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 587ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 22%
  • Avg reaction 528ms

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 (+0.8 against its own average).

Aim7.7
Utility5.0
Positioning6.8
Opening Duels6.1

Limited utility dependence

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 93% playstyle similarity

Most alike: positioning profile, utility contribution.

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 →

CSDB Rating breakdown

Aim7.7
Positioning6.8
Utility5.0
Mechanics4.9
Opening Duels5.5
Win Impact5.6

Composite 6.0/10 (Solid), 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 rating0.02+0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time532ms−87ms
first ⅓ avg 618ms → last ⅓ avg 532ms
Headshot accuracy22.6%+0.1%
first ⅓ avg 22.6% → last ⅓ avg 22.6%

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 · 13–3 · dust2, 23 Mar →
100%Best headshot accuracy · 13–3 · mirage, 24 Feb →
344msFastest reaction time · 2–9 · overpass, 15 Mar →
13–0Biggest win · nuke, 20 Apr →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L2Current streak
9–6In matches decided by ≤2 rounds
5Overtime games

Map breakdown

infernoBest map · 88% over 8ancientWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
nukeA3117–1455%0.03
mirageS139–469%0.00
dust2B126–650%0.01
vertigoC94–544%-0.00
infernoS87–188%0.05
ancientC73–443%0.01
anubis—41–325%0.02
cache—42–250%-0.03
office—42–250%0.04
overpass—31–233%0.00
boulder—10–10%-0.04
debris—10–10%-0.23
golden—11–0100%0.00
train—10–10%-0.03
agency—11–0100%0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4Matches
100%Win rate
0.96Avg K/D
—ADR
57%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
4Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage2100%0.8514.5
Nuke1100%1.0715.0
Vertigo1100%1.0912.0

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.

22.8%Headshot accuracy
37.2%Accuracy (enemy spotted)
36.8%Spray accuracy
72.1%Counter-strafing
10.3°Preaim
525msReaction time
50.5%T opening success
53.5%CT opening success
0.54Enemies flashed / flash
4.3%Flash assists
10.59HE damage / grenade
3.66Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.6592 — below the 4 mark we flag

    Grenade Lineups →
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.

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis7–130.0923%27 Aug →
cache5–13-0.1119%27 Aug →
inferno13–90.0429%27 Aug →
cache15–150.0429%27 Aug →
nuke2–13-0.070%27 Aug →
inferno13–50.1212%27 Aug →
ancient8–13-0.0212%27 Aug →
anubis2–13-0.1027%27 Aug →
nuke16–13-0.0142%26 Aug →
anubis16–130.1022%26 Aug →
mirage16–130.0129%26 Aug →
anubis5–13-0.0013%25 Aug →
nuke13–30.1317%25 Aug →
nuke13–100.0418%25 Aug →
dust27–130.017%25 Aug →
nuke8–130.0029%24 Aug →
nuke13–70.1620%24 Aug →
nuke13–60.0544%24 Aug →
ancient13–100.0612%21 Aug →
nuke10–130.0946%21 Aug →
nuke13–80.0633%21 Aug →
boulder2–13-0.0420%23 Jul →
vertigo8–130.0022%23 Jul →
office13–70.0924%22 Jul →
nuke9–130.0244%22 Jul →
office13–3-0.010%21 Jul →
office9–130.0630%21 Jul →
debris0–9-0.2340%18 Jul →
nuke9–20.0112%18 Jul →
ancient11–130.017%18 Jul →
mirage13–110.0410%9 Jul →
dust213–9-0.0215%9 Jul →
vertigo13–9-0.0038%4 Jul →
nuke12–120.0267%4 Jul →
nuke12–12-0.0410%20 Jun →
vertigo3–13-0.0338%20 Jun →
nuke10–13-0.0436%16 Jun →
vertigo13–100.0515%15 Jun →
nuke13–11-0.0127%15 Jun →
vertigo13–9-0.0540%1 Jun →
nuke0–13-0.0620%1 Jun →
nuke7–13-0.0431%1 Jun →
cache13–8-0.059%1 May →
cache13–70.0222%28 Apr →
vertigo12–120.0217%24 Apr →
vertigo12–120.0118%21 Apr →
vertigo13–50.018%20 Apr →
nuke13–00.1117%20 Apr →
vertigo7–9-0.0460%9 Apr →
nuke1–30.1020%23 Mar →
dust211–130.0215%23 Mar →
dust213–30.1917%23 Mar →
dust213–30.1316%23 Mar →
nuke6–13-0.0525%17 Mar →
inferno13–30.0216%17 Mar →
overpass2–9-0.0650%15 Mar →
dust213–90.0211%15 Mar →
nuke13–40.010%14 Mar →
dust20–10-0.090%14 Mar →
mirage10–13-0.0115%10 Mar →
inferno13–30.0227%10 Mar →
overpass4–13-0.0621%10 Mar →
ancient5–130.0115%10 Mar →
inferno16–140.0615%10 Mar →
mirage13–10.0217%8 Mar →
nuke13–5-0.020%8 Mar →
dust213–1-0.0217%8 Mar →
inferno13–110.0633%8 Mar →
ancient13–11-0.0018%6 Mar →
ancient13–110.0611%6 Mar →
nuke13–70.0213%5 Mar →
nuke1–13-0.0511%5 Mar →
mirage5–13-0.0717%5 Mar →
nuke10–00.0150%5 Mar →
mirage4–13-0.0610%5 Mar →
mirage13–10-0.025%4 Mar →
dust24–13-0.0631%2 Mar →
mirage13–10-0.044%25 Feb →
nuke13–60.140%24 Feb →
mirage13–30.04100%24 Feb →
mirage5–30.04100%24 Feb →
dust213–20.0621%24 Feb →
ancient9–13-0.0410%18 Feb →
dust23–13-0.0229%18 Feb →
nuke13–8-0.010%18 Feb →
nuke13–90.0320%18 Feb →
nuke8–13-0.038%18 Feb →
office6–130.0112%17 Feb →
inferno6–130.0124%17 Feb →
inferno13–90.0810%17 Feb →
mirage11–130.0421%17 Feb →
golden13–90.0025%25 Oct →
dust28–13-0.0819%23 Oct →
mirage13–10-0.0015%20 Oct →
nuke11–130.0717%7 Oct →
mirage13–50.0824%6 Oct →
nuke13–80.1618%6 Oct →
overpass13–110.1324%28 Sept →
train7–13-0.0330%28 Sept →
agency13–110.0713%28 Sept →

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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