VIT jazzjava

VIT jazzjava — CS2 Stats

76561199133773476[U:1:1173507748]Steam profile ↗✓ No bans

160Tracked matches62%Win rate2025Tracked since
CSDB Rating5.0 DevelopingPositional Player
Premier CS Rating17,069Purple band · top ~20.2% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Aug 2026 (29 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 51 days played since 17 Jan 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 17,069 +9,554 2 Dec25 Aug · 27 days played
6,94617,849peak 17,8492 Dec25 Aug
17,896Peak Premier in tracked matches
51Days played since 2025-01-17

Premier CS Rating

  • 780 below peak (17,849)
  • +1,569 over 30 days · improving
  • +4,478 over 90 days
  • Next: Pink band at 20,000 2,931 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.

Share this profile

CSDB.GGVIT jazzjavaPREMIER17,069 · Purple bandcsdb.gg/stats

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Performance scores

Aim57
Positioning38
Utility34

0–100 skill scores via Leetify.

Recent form

STEADY56404Last 10056%Win rateWLLLLWWLWL

Last 10 vs previous 10: −20pp win rate · +0.00 avg rating · −0.9pp headshot accuracy · −23ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 14 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 581ms

Last 10

  • 46 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 607ms

Last 20

  • 1091 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 618ms

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 PlayerPositioning stands above the rest of this profile (+1.2 against its own average).

Aim5.7
Utility3.4
Positioning3.8
Opening Duels0.0
Clutch3.4

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

sh1ro

Plays most like sh1ro 88% playstyle similarity

Most alike: utility contribution, positioning profile.

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 →

Strengths & areas to improve

Areas to improve

Reaction time. 652ms 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

Aim5.7
Positioning3.8
Utility3.4
Mechanics7.1
Opening Duels0.1
Win Impact9.0

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time650ms+17ms
first ⅓ avg 634ms → last ⅓ avg 650ms
Headshot accuracy19.8%−1.1%
first ⅓ avg 20.9% → last ⅓ avg 19.8%

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

0.11Best match rating · 13–5 · train, 27 Oct
42%Best headshot accuracy · 13–7 · inferno, 26 Jul
453msFastest reaction time · 3–13 · inferno, 1 Jul
13–1Biggest win · ancient, 30 Jul

Across the last 100 tracked matches.

Highlights

5Longest win streak
55In matches decided by ≤2 rounds
10Overtime games

Map breakdown

cacheBest map · 83% over 6infernoWeakest map · 40% over 20
MapGradePlayedRecordWin rateAvg rating
nukeB22111150%-0.01
infernoC2081240%-0.02
dust2A1610663%-0.00
mirageA1610663%-0.01
ancientC94544%0.00
cacheS65183%0.00
anubisS65183%-0.01
overpass32167%0.02
train21150%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 20). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

116Matches
50%Win rate
1.12Avg K/D
71.6ADR
50%Headshot %

Clutches & streaks

37%1v1 clutch win
27%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage3352%1.1313.6
Dust22241%1.0414.8
Anubis2055%1.2314.2
Inferno1354%1.0412.8
Nuke1250%0.7812.3
Ancient956%1.0715.1
Cache540%0.8114.4
Overpass250%4.4712.0

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.

19.5%Headshot accuracy
32.0%Accuracy (enemy spotted)
34.2%Spray accuracy
82.1%Counter-strafing
11.1°Preaim
652msReaction time
24.9%T opening success
31.2%CT opening success
0.44Enemies flashed / flash
4.8%Flash assists
8.48HE damage / grenade
2.92Flashes / 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 0.4409 — 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 24.9334% — below the 40% mark we flag

Spend your practice time on Inferno

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

40% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–70.0119%25 Aug
nuke9–13-0.0319%25 Aug
dust27–13-0.0117%25 Aug
ancient9–13-0.0325%21 Aug
cache7–13-0.047%20 Aug
nuke13–10-0.0419%13 Aug
mirage13–11-0.0414%12 Aug
nuke12–16-0.0417%12 Aug
dust213–60.0123%12 Aug
nuke2–130.0126%12 Aug
cache13–7-0.0614%12 Aug
dust213–30.0222%10 Aug
nuke14–16-0.1021%30 Jul
mirage7–130.0122%30 Jul
ancient13–10.0313%30 Jul
inferno13–5-0.0614%29 Jul
anubis13–60.0326%29 Jul
inferno15–15-0.0316%28 Jul
nuke3–13-0.0527%28 Jul
inferno13–9-0.0321%28 Jul
mirage16–120.0424%27 Jul
dust213–10-0.0014%27 Jul
mirage3–13-0.108%27 Jul
cache13–30.0429%27 Jul
cache13–20.0815%26 Jul
nuke13–30.0520%26 Jul
dust210–13-0.0515%26 Jul
inferno13–7-0.0342%26 Jul
inferno16–130.0718%25 Jul
cache13–11-0.0220%25 Jul
dust213–70.0534%23 Jul
inferno13–7-0.0214%22 Jul
dust26–13-0.0519%15 Jul
ancient13–110.0127%12 Jul
mirage6–13-0.0230%12 Jul
dust213–20.0820%10 Jul
mirage8–10.049%9 Jul
ancient7–13-0.0519%9 Jul
inferno12–12-0.0410%8 Jul
nuke13–90.0515%8 Jul
dust213–7-0.0317%6 Jul
nuke13–60.0726%6 Jul
dust213–80.0618%6 Jul
nuke13–70.0313%5 Jul
nuke9–13-0.0323%4 Jul
inferno10–13-0.0426%4 Jul
mirage13–8-0.0313%1 Jul
inferno3–13-0.0516%1 Jul
inferno2–130.0212%20 Jun
dust211–130.0427%18 Jun
anubis13–50.0227%12 Jun
dust213–7-0.0510%12 Jun
mirage13–2-0.0313%12 Jun
dust23–130.0216%12 Jun
anubis16–13-0.0313%6 Jun
nuke13–6-0.0723%6 Jun
nuke9–130.0124%5 Jun
mirage16–13-0.0231%5 Jun
overpass13–90.0817%5 Jun
nuke13–50.0424%5 Jun
dust213–3-0.0112%5 Jun
ancient7–13-0.0320%5 Jun
inferno6–13-0.0421%29 May
mirage13–50.0622%29 May
nuke15–150.0114%29 May
nuke0–13-0.0832%8 May
nuke7–130.0523%24 Apr
anubis13–9-0.0211%23 Apr
inferno13–4-0.0913%23 Apr
ancient11–13-0.0011%23 Apr
anubis13–60.0212%23 Apr
ancient13–20.0224%23 Apr
nuke11–13-0.0230%23 Apr
overpass13–30.049%21 Apr
inferno16–130.0011%13 Apr
nuke13–110.0311%13 Apr
anubis9–13-0.0512%13 Apr
inferno6–13-0.0211%13 Apr
ancient13–90.0314%23 Mar
mirage13–4-0.0222%15 Mar
inferno5–130.0130%11 Mar
ancient10–130.0330%9 Mar
inferno4–130.0222%4 Jan
mirage13–3-0.0215%2 Jan
overpass15–15-0.0721%19 Dec
nuke13–40.0615%19 Dec
dust22–13-0.1425%13 Dec
mirage3–13-0.0328%2 Dec
mirage10–130.0134%2 Dec
inferno6–13-0.0429%2 Dec
nuke13–90.0124%1 Dec
mirage13–11-0.0135%1 Dec
dust213–9-0.0128%28 Nov
inferno13–20.0417%27 Nov
mirage5–13-0.0221%27 Nov
train13–50.1142%27 Oct
train3–13-0.0423%5 Sept
nuke13–6-0.0712%20 Jun
inferno11–13-0.0432%9 May
inferno2–13-0.0615%17 Jan

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 →