Jaz

Jaz — CS2 Stats

JM76561199549745655[U:1:1589479927]Steam profile ↗✓ No bans

348Tracked matches30%Win rate2024Tracked since
175Hours in CS
CSDB Rating3.1 LearningPositional Player
Premier CS Rating1,000Grey band · top ~95.8% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (4 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: 1,000 -294 21 Sept – 11 Oct · 9 days played
1,0001,294peak 1,29421 Sept11 Oct
1,612Peak Premier in tracked matches
15Days played since 2026-09-14

Premier CS Rating

  • 294 below peak (1,294)
  • Next: Light Blue band at 5,000 — 4,000 to go

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
Matches201——
Win rate31%——
K/D0.79——
Headshot %58%——

Measured 11 Sep 2026 → 15 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 Grey band among CSDB-tracked players (n=3,645), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate54.2%38.2%39.9%above
Shot accuracy0.0%3.6%7.0%7.0% short
Kill/death ratio0.800.830.920.11 short
Match win rate29.8%40.2%42.3%12.5% short

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

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

Share this profile

CSDB.GGJazPREMIER1,000 · Grey 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

Aim43
Positioning31
Utility13

0–100 skill scores via Leetify.

Recent form

COLD30–63–7Last 10030%Win rateWLLLLLWLLL

Last 10 vs previous 10: −40pp win rate · −0.06 avg rating · −1.4pp headshot accuracy · +17ms reaction

Win rate down 40pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 16%
  • Avg reaction 808ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.08
  • Avg headshot accuracy 16%
  • Avg reaction 808ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 17%
  • Avg reaction 799ms

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 (+2 against its own average).

Aim4.3
Utility1.3
Positioning3.1
Opening Duels0.0
Clutch0.0

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

donk

Plays most like donk 90% 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

Areas to improve

Reaction time. 786ms 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

Aim4.3
Positioning3.1
Utility1.3
Mechanics8.4
Opening Duels0.4
Win Impact0.0

Composite 3.1/10 (Learning), 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-0.06−0.01
first ⅓ avg -0.04 → last ⅓ avg -0.06
Reaction time789ms−18ms
first ⅓ avg 807ms → last ⅓ avg 789ms
Headshot accuracy16.9%−5.6%
first ⅓ avg 22.5% → last ⅓ avg 16.9%

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

0.20Best match rating · 8–8 · inferno, 3 Oct →
50%Best headshot accuracy · 11–13 · office, 7 Oct →
563msFastest reaction time · 10–13 · inferno, 9 Oct →
13–1Biggest win · mirage, 7 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
4–7In matches decided by ≤2 rounds
4Overtime games

Map breakdown

vertigoBest map · 50% over 8cacheWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2D205–1525%-0.04
infernoD194–1521%-0.02
nukeD186–1233%-0.04
mirageC156–940%-0.04
vertigoB84–450%-0.03
cacheD51–420%-0.07
train—41–325%-0.04
anubis—32–167%-0.01
ancient—20–20%-0.09
office—20–20%-0.07
overpass—21–150%-0.10
debris—10–10%-0.16
poseidon—10–10%-0.08

Across the last 100 tracked matches.

Lifetime stats

7,690Lifetime kills
0.80K/D
614Matches
29.8%Match win rate
54.2%Headshot % · Top 5% of Grey band
0.0%Shot accuracy
776MVPs
175Hours (in match)
198Bombs planted
111Bombs defused

Most-used weapons

Lifetime map wins

966nuke
686inferno
681dust2
322vertigo
51office
47train
22ar_shoots
14ar_baggage

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

Faceit stats

Combat

3Matches
33%Win rate
0.29Avg K/D
33.3ADR
48%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Vertigo10%0.213.0
Mirage1100%0.447.0
Inferno10%0.213.0

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.

17.7%Headshot accuracy
27.7%Accuracy (enemy spotted)
28.9%Spray accuracy
87.7%Counter-strafing
8.5°Preaim
786msReaction time
33.1%T opening success
23.8%CT opening success
0.23Enemies flashed / flash
1.5%Flash assists
9.44HE damage / grenade
1.61Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 786.3542ms — above the 700ms 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 0.2269 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 33.0729% — below the 40% mark we flag

Spend your practice time on Cache

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno13–7-0.1315%13 Oct →
train4–13-0.0719%13 Oct →
cache7–13-0.0518%11 Oct →
mirage5–13-0.058%11 Oct →
dust24–13-0.0722%11 Oct →
vertigo2–13-0.0923%10 Oct →
dust213–10-0.0816%10 Oct →
ancient4–13-0.0814%10 Oct →
inferno0–13-0.0613%9 Oct →
cache11–13-0.1212%9 Oct →
anubis13–9-0.0717%9 Oct →
inferno10–13-0.100%9 Oct →
inferno3–13-0.0512%9 Oct →
mirage8–130.0122%9 Oct →
dust213–3-0.0419%9 Oct →
mirage16–14-0.0913%9 Oct →
inferno13–50.0626%9 Oct →
mirage13–3-0.0416%8 Oct →
anubis13–70.0326%8 Oct →
dust28–130.0424%8 Oct →
dust213–6-0.0118%8 Oct →
inferno6–13-0.0518%8 Oct →
nuke5–13-0.0912%7 Oct →
office11–13-0.0950%7 Oct →
dust25–13-0.0013%7 Oct →
dust211–13-0.0621%7 Oct →
nuke4–10-0.0517%7 Oct →
cache5–13-0.0820%7 Oct →
train6–13-0.0719%7 Oct →
nuke3–13-0.076%7 Oct →
mirage13–11-0.0615%7 Oct →
dust210–13-0.1010%7 Oct →
inferno5–13-0.017%7 Oct →
mirage13–1-0.0321%7 Oct →
vertigo13–4-0.0523%7 Oct →
mirage13–4-0.0311%6 Oct →
cache0–13-0.079%6 Oct →
inferno1–110.020%6 Oct →
nuke13–5-0.0514%6 Oct →
dust22–13-0.0135%6 Oct →
dust25–13-0.0824%6 Oct →
inferno1–8-0.0311%6 Oct →
dust212–12-0.0530%6 Oct →
inferno5–130.0318%6 Oct →
dust29–130.1617%6 Oct →
vertigo3–13-0.0515%6 Oct →
nuke9–13-0.0521%5 Oct →
dust27–6-0.0435%5 Oct →
inferno13–2-0.0122%5 Oct →
debris6–9-0.1618%4 Oct →
nuke0–13-0.0716%4 Oct →
nuke13–40.0624%4 Oct →
inferno6–130.0021%4 Oct →
mirage15–150.0219%4 Oct →
inferno3–130.0526%4 Oct →
nuke13–5-0.0228%4 Oct →
office8–13-0.0527%4 Oct →
vertigo12–12-0.0218%4 Oct →
cache11–7-0.0437%4 Oct →
inferno2–13-0.0720%4 Oct →
mirage8–13-0.0017%4 Oct →
nuke14–12-0.0411%4 Oct →
dust27–13-0.0917%4 Oct →
dust211–13-0.0215%4 Oct →
poseidon2–9-0.0822%3 Oct →
nuke2–9-0.0920%3 Oct →
anubis8–120.0129%3 Oct →
inferno8–80.2033%3 Oct →
inferno15–15-0.0127%3 Oct →
nuke13–60.0529%3 Oct →
ancient12–12-0.0915%3 Oct →
nuke8–13-0.0624%2 Oct →
nuke8–13-0.0313%2 Oct →
vertigo13–60.0329%2 Oct →
mirage13–10-0.0522%2 Oct →
nuke11–13-0.0523%2 Oct →
vertigo13–6-0.038%2 Oct →
inferno11–13-0.0614%2 Oct →
dust21–13-0.0613%2 Oct →
overpass13–10-0.0713%1 Oct →
vertigo8–13-0.0710%1 Oct →
mirage2–13-0.0813%1 Oct →
nuke2–13-0.0733%1 Oct →
mirage12–12-0.0543%30 Sept →
mirage6–13-0.0215%30 Sept →
train5–13-0.0722%30 Sept →
dust211–13-0.0915%30 Sept →
train5–20.0321%30 Sept →
inferno13–1-0.0717%30 Sept →
mirage4–13-0.0714%30 Sept →
vertigo13–100.0228%30 Sept →
mirage8–13-0.0925%30 Sept →
nuke5–13-0.1045%30 Sept →
dust210–13-0.0834%30 Sept →
inferno8–13-0.1021%29 Sept →
nuke13–6-0.0729%29 Sept →
dust28–13-0.0735%29 Sept →
nuke6–10-0.0019%28 Sept →
overpass9–13-0.1214%28 Sept →
dust213–8-0.0527%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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