Jazzkaj

Jazzkaj — CS2 Stats

DK76561199052163023[U:1:1091897295]Steam profile ↗✓ No bans

1,145Tracked matches48%Win rate2020Tracked since
1,764Hours in CS5Hrs last 2 wks
CSDB Rating6.4 SolidSupport
Premier CS Rating21,641Top 50% of 213,211 CSDB-tracked playersPink band · top ~6.7% of ranked players (population est.)
CSDB Leaderboard#61202 of 259900 tracked
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Nov 2026 (3 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: 21,641 +1,641 28 Feb – 1 Nov · 54 days played
18,57222,764peak 22,76428 Feb1 Nov
23,067Peak Premier in tracked matches
68Days played since 2026-02-28

Premier CS Rating

  • 1,123 below peak (22,764)
  • -753 over 30 days · declining
  • +1,024 over 90 days
  • Next: Red band at 25,000 — 3,359 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.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate50.1%46.9%49.3%meets
Shot accuracy15.6%13.0%13.4%above
Kill/death ratio1.241.081.12above
Match win rate38.7%46.7%48.5%9.8% short

This profile matches the typical Red band player on 3 of 4 comparable metrics.

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

Share this profile

CSDB.GGJazzkajPREMIER21,641 · Pink 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

Aim72
Positioning50
Utility80

0–100 skill scores via Leetify.

Recent form

STEADY51–47–2Last 10051%Win rateWLWLWLLTLW

Last 10 vs previous 10: −10pp win rate · −0.04 avg rating · −0.7pp headshot accuracy · +45ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 555ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 601ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 579ms

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 (+2.9 against its own average).

Aim7.2
Utility8.0
Positioning5.0
Opening Duels2.2

Strong CT-side openerEffective flashesHigh utility contribution

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

ZywOo

Plays most like ZywOo 75% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim 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

Strengths

Utility. Utility score of 80 — grenade impact well above the norm.

Areas to improve

T-side openings. Opening success drops from 48% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 565ms 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

Aim7.2
Positioning5.0
Utility8.0
Mechanics7.9
Opening Duels2.5
Win Impact4.4

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.02
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time566ms−81ms
first ⅓ avg 647ms → last ⅓ avg 566ms
Headshot accuracy14.8%−3.3%
first ⅓ avg 18.1% → last ⅓ avg 14.8%

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.

Personal bests

0.14Best match rating · 13–6 · inferno, 3 Mar →
75%Best headshot accuracy · 9–13 · mirage, 23 May →
422msFastest reaction time · 13–11 · inferno, 31 Oct →
13–1Biggest win · nuke, 10 May →

Across the last 100 tracked matches.

Highlights

7Longest win streak
9–5In matches decided by ≤2 rounds
12Overtime games

Map breakdown

ancientBest map · 71% over 14dust2Weakest map · 38% over 16
MapGradePlayedRecordWin rateAvg rating
nukeB199–1047%-0.00
infernoC188–1044%-0.01
dust2C166–1038%-0.01
mirageA159–660%-0.03
ancientS1410–471%0.02
anubisC94–544%-0.01
cacheA53–260%-0.01
vertigo—21–150%0.02
overpass—21–150%-0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

49,875Lifetime kills
1.24K/D · Top 25% of Pink band
2,465Matches
38.7%Match win rate
50.1%Headshot % · Top 50% of Pink band
15.6%Shot accuracy · Top 50% of Pink band
4,929MVPs
828Hours (in match)
1,610Bombs planted
389Bombs defused

Most-used weapons

Lifetime map wins

4,386inferno
2,657nuke
1,651dust2
1,552vertigo
684train
42lake
33office
23stmarc

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.7%Headshot accuracy
38.9%Accuracy (enemy spotted)
38.2%Spray accuracy
85.7%Counter-strafing
12.2°Preaim
565msReaction time
32.0%T opening success
48.4%CT opening success
0.74Enemies flashed / flash
11.0%Flash assists
11.08HE damage / grenade
16.67Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.1821° — above the 12° mark we flag

    Aim Training →
  2. 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 14.6877% — below the 15% mark we flag

    Aim Training →
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.

38% win rate across 16 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
mirage13–10-0.0714%1 Nov →
dust23–13-0.0317%1 Nov →
inferno13–110.0110%31 Oct →
inferno3–9-0.0519%31 Oct →
nuke13–8-0.016%30 Oct →
mirage6–13-0.1121%30 Oct →
mirage8–13-0.0616%30 Oct →
cache15–15-0.0217%16 Oct →
nuke10–13-0.0915%15 Oct →
mirage13–100.0113%15 Oct →
cache8–13-0.0622%14 Oct →
ancient16–12-0.0016%8 Oct →
vertigo13–40.0910%26 Sept →
ancient6–130.0013%25 Sept →
anubis8–130.0214%24 Sept →
dust26–13-0.0321%23 Sept →
nuke13–70.0215%23 Sept →
inferno13–10-0.028%23 Sept →
dust216–120.0120%22 Sept →
inferno10–13-0.0616%12 Sept →
anubis16–140.018%11 Sept →
inferno13–7-0.0319%11 Sept →
mirage8–130.0131%10 Sept →
inferno13–7-0.060%9 Sept →
nuke5–13-0.0221%9 Sept →
dust27–13-0.0110%8 Sept →
nuke13–80.0316%7 Sept →
ancient13–5-0.0519%7 Sept →
nuke4–13-0.0810%6 Sept →
anubis6–13-0.035%5 Sept →
dust213–11-0.0414%3 Sept →
inferno13–11-0.0214%20 Aug →
ancient16–13-0.0416%17 Aug →
dust211–130.0017%16 Aug →
ancient13–80.1010%15 Aug →
nuke13–20.0821%15 Aug →
ancient13–50.0610%14 Aug →
inferno8–13-0.0311%14 Aug →
ancient13–110.0216%14 Aug →
dust213–9-0.0630%9 Aug →
inferno13–40.0318%7 Aug →
mirage13–10-0.0510%4 Aug →
anubis11–13-0.008%2 Aug →
dust210–13-0.029%30 Jul →
dust213–30.0416%30 Jul →
anubis2–13-0.0721%29 Jul →
vertigo5–13-0.0520%29 Jul →
inferno8–130.0116%9 Jul →
cache13–40.0733%9 Jul →
overpass1–13-0.1318%1 Jul →
ancient16–140.0117%29 Jun →
inferno7–13-0.0317%24 Jun →
mirage13–8-0.0226%23 Jun →
nuke11–13-0.0113%17 Jun →
nuke7–13-0.0025%14 Jun →
nuke13–4-0.0013%9 Jun →
mirage13–3-0.029%9 Jun →
nuke13–11-0.0623%8 Jun →
mirage9–13-0.0075%23 May →
nuke7–130.0317%21 May →
ancient13–60.1018%20 May →
inferno7–130.0426%14 May →
cache13–9-0.0026%13 May →
mirage4–13-0.0317%13 May →
nuke13–10.1021%10 May →
cache13–9-0.0316%10 May →
mirage13–50.002%9 May →
overpass13–4-0.0214%8 May →
ancient13–30.0817%8 May →
dust213–16-0.0920%13 Apr →
dust211–13-0.0320%13 Apr →
anubis13–9-0.0220%12 Apr →
mirage13–3-0.0113%12 Apr →
nuke5–13-0.0612%11 Apr →
dust26–13-0.0120%11 Apr →
dust213–50.0416%9 Apr →
inferno13–90.0626%8 Apr →
nuke9–130.0122%8 Apr →
nuke3–120.0225%7 Apr →
ancient7–13-0.0528%7 Apr →
dust212–160.0015%6 Apr →
inferno11–13-0.0316%6 Apr →
inferno5–13-0.0421%5 Apr →
ancient12–160.0110%5 Apr →
nuke2–13-0.0624%25 Mar →
ancient10–130.0517%25 Mar →
mirage10–13-0.0725%24 Mar →
nuke16–14-0.0217%18 Mar →
anubis16–140.0417%16 Mar →
mirage13–90.0119%15 Mar →
ancient13–2-0.0314%12 Mar →
dust213–70.0518%4 Mar →
inferno13–60.1413%3 Mar →
nuke13–80.0818%3 Mar →
inferno15–15-0.0311%2 Mar →
anubis13–40.0027%2 Mar →
dust28–13-0.0616%1 Mar →
mirage13–2-0.0121%1 Mar →
anubis6–13-0.0210%1 Mar →
inferno6–13-0.0316%28 Feb →

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 →

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