jazz

jazz — CS2 Stats

76561199083161420[U:1:1122895692]Steam profile ↗✓ No bans

1,309Tracked matches47%Win rate2021Tracked since
1,516Hours in CS12Hrs last 2 wks
CSDB Rating5.9 SolidPositional Player
Premier CS Rating14,999Blue band · top ~28.4% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Oct 2026 (6 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: 14,999 -1,767 9 Jun – 23 Oct · 25 days played
14,66617,748peak 17,7489 Jun23 Oct
17,748Peak Premier in tracked matches
46Days played since 2026-06-09

Premier CS Rating

  • 2,749 below peak (17,748)
  • -38 over 30 days · steady
  • Next: Purple band at 15,000 — 1 to go
  • Reached: 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 Blue band among CSDB-tracked players (n=21,222), 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 rate46.6%42.0%44.4%above
Shot accuracy5.4%9.6%11.9%6.5% short
Kill/death ratio0.970.981.030.06 short
Match win rate38.4%43.8%45.2%6.8% short

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

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.

Share this profile

CSDB.GGjazzPREMIER14,999 · Blue bandcsdb.gg/stats

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Performance scores

Aim80
Positioning59
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY45–52–3Last 10045%Win rateWLWLWLWLLW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · −0.8pp headshot accuracy · +68ms 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 -0.00
  • Avg headshot accuracy 26%
  • Avg reaction 595ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 24%
  • Avg reaction 573ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 25%
  • Avg reaction 539ms

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).

Aim8.0
Utility4.2
Positioning5.9
Opening Duels3.2
Clutch2.6

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

jL

Plays most like jL 94% 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 →

Strengths & areas to improve

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.0
Positioning5.9
Utility4.2
Mechanics7.2
Opening Duels5.2
Win Impact3.9

Composite 5.9/10 (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 rating0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time529ms−56ms
first ⅓ avg 584ms → last ⅓ avg 529ms
Headshot accuracy26.0%+0.1%
first ⅓ avg 25.8% → last ⅓ avg 26.0%

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

0.15Best match rating · 13–8 · cache, 18 Oct →
57%Best headshot accuracy · 7–0 · nuke, 12 Jun →
375msFastest reaction time · 11–13 · office, 1 Oct →
13–1Biggest win · mirage, 9 Jun →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–10In matches decided by ≤2 rounds
9Overtime games

Map breakdown

cacheBest map · 65% over 20nukeWeakest map · 19% over 16
MapGradePlayedRecordWin rateAvg rating
mirageB2211–1150%0.02
cacheS2013–765%0.01
infernoC198–1142%-0.01
nukeD163–1319%0.01
dust2B115–645%0.01
anubisC52–340%0.00
ancient—43–175%0.03
overpass—20–20%-0.03
office—10–10%0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (19% over 16). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

43,997Lifetime kills
0.97K/D
2,370Matches
38.4%Match win rate
46.6%Headshot % · Top 50% of Blue band
5.4%Shot accuracy
4,289MVPs
966Hours (in match)
1,940Bombs planted
838Bombs defused

Most-used weapons

Lifetime map wins

3,491nuke
3,156inferno
1,793dust2
1,151vertigo
457train
117office
23cbble
9lake

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

Faceit stats

Combat

88Matches
44%Win rate
0.99Avg K/D
72.5ADR
48%Headshot %

Clutches & streaks

33%1v1 clutch win
23%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage2544%0.9614.2
Inferno1741%0.8312.8
Anubis1553%1.1616.0
Nuke1136%1.0616.6
Ancient757%1.1313.0
Dust2633%0.9814.7
Cache425%0.8812.8
Train10%0.7911.0

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.

26.2%Headshot accuracy
28.7%Accuracy (enemy spotted)
36.9%Spray accuracy
82.2%Counter-strafing
8.4°Preaim
534msReaction time
54.3%T opening success
47.4%CT opening success
0.52Enemies flashed / flash
10.5%Flash assists
12.93HE damage / grenade
1.15Flashes / 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 1.1481 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Nuke

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

19% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–60.0131%23 Oct →
dust28–13-0.0125%22 Oct →
anubis13–90.0323%22 Oct →
nuke10–13-0.0723%21 Oct →
dust213–110.0229%21 Oct →
cache8–130.0838%20 Oct →
cache13–30.0829%20 Oct →
dust25–130.0113%19 Oct →
inferno11–13-0.0113%18 Oct →
cache13–80.1520%18 Oct →
dust25–130.0233%16 Oct →
inferno13–30.0117%16 Oct →
inferno13–40.0820%16 Oct →
nuke11–13-0.0424%2 Oct →
ancient7–130.0624%2 Oct →
nuke10–13-0.0727%2 Oct →
office11–130.0250%1 Oct →
inferno13–60.0219%30 Sept →
dust213–5-0.0110%27 Sept →
cache8–130.0129%23 Sept →
mirage1–13-0.0527%23 Sept →
mirage13–100.0322%22 Sept →
inferno14–16-0.0719%22 Sept →
inferno7–13-0.0721%20 Sept →
mirage13–90.0035%20 Sept →
cache13–7-0.0750%19 Sept →
mirage1–13-0.0747%18 Sept →
mirage13–60.0524%16 Sept →
inferno14–16-0.0023%11 Sept →
cache13–9-0.0127%11 Sept →
inferno13–8-0.0513%1 Sept →
mirage13–50.0336%1 Sept →
dust213–5-0.0416%26 Aug →
nuke12–120.0528%21 Aug →
nuke9–130.0428%21 Aug →
nuke5–130.0220%21 Aug →
mirage5–130.0217%21 Aug →
dust28–13-0.0333%21 Aug →
cache13–7-0.0635%21 Aug →
cache7–130.0522%18 Aug →
cache16–140.0114%10 Aug →
nuke13–90.0410%6 Aug →
inferno13–6-0.0129%3 Aug →
cache7–130.0138%3 Aug →
nuke13–110.0624%2 Aug →
cache13–50.0626%2 Aug →
nuke8–13-0.0038%1 Aug →
inferno2–13-0.0917%1 Aug →
cache11–130.0028%1 Aug →
nuke14–160.0118%19 Jul →
mirage13–80.1025%19 Jul →
ancient13–110.0123%19 Jul →
cache13–50.0138%15 Jul →
anubis9–13-0.0236%15 Jul →
cache10–13-0.0528%15 Jul →
cache12–160.0120%13 Jul →
inferno9–13-0.0323%11 Jul →
cache13–50.0844%11 Jul →
nuke7–13-0.038%10 Jul →
inferno13–50.0320%10 Jul →
cache13–4-0.0133%10 Jul →
cache2–7-0.108%7 Jul →
mirage6–130.0428%7 Jul →
mirage11–13-0.0221%27 Jun →
cache13–50.0427%26 Jun →
mirage9–13-0.0328%26 Jun →
mirage13–10-0.019%25 Jun →
mirage8–13-0.0832%25 Jun →
mirage16–140.0521%24 Jun →
nuke7–130.0622%22 Jun →
mirage8–130.0621%22 Jun →
inferno8–130.1113%22 Jun →
inferno7–130.0330%17 Jun →
nuke4–130.0431%17 Jun →
anubis2–13-0.0236%17 Jun →
anubis13–90.0510%16 Jun →
ancient13–100.0422%16 Jun →
mirage13–90.0231%16 Jun →
dust213–40.0825%16 Jun →
overpass10–13-0.0613%15 Jun →
mirage13–70.1419%15 Jun →
dust29–130.0230%15 Jun →
ancient13–40.0329%14 Jun →
mirage15–150.0125%14 Jun →
overpass8–130.0127%14 Jun →
inferno9–13-0.0517%14 Jun →
dust213–80.0138%14 Jun →
anubis13–16-0.0319%13 Jun →
nuke5–13-0.0525%13 Jun →
inferno15–15-0.0318%12 Jun →
mirage8–13-0.0122%12 Jun →
dust211–13-0.0123%12 Jun →
inferno4–13-0.0626%12 Jun →
nuke7–00.0957%12 Jun →
mirage13–100.0225%10 Jun →
nuke11–130.0418%10 Jun →
mirage7–130.0336%10 Jun →
inferno13–5-0.0328%9 Jun →
mirage13–10.1236%9 Jun →
inferno13–11-0.0527%9 Jun →

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.