jabbi

jabbi — CS2 Stats

PRO“j^-_*abbi”AstralisDenmarkRiflerSettings & gear profile →

KZ76561198120557348[U:1:160291620]Steam profile ↗VAC banned

3,104Tracked matches60%Win rate2020Tracked since
CSDB Rating8.5 ElitePositional Player
FaceitLevel 10 · 4,074 ELOTop 12.4% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (20 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 4,074 → 4,074
+45Tracked matches · now 3,104
+10.0ppWin rate · 50.0% → 60.0%

Rating over time

Faceit ELO: 4,074 +0 28 Aug – 18 Sept · 12 observations
4,0744,074peak 4,07428 Aug18 Sept
4,074Highest Faceit ELO seen on CSDB
34Days played since 2026-05-02

Faceit ELO

  • At peak — 4,074
  • Reached: 4,000 ELO · 3,500 ELO · 3,000 ELO · 2,500 ELO
  • 4,000 ELO first seen 2026-08-28
  • 3,500 ELO first seen 2026-08-28

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGjabbiFACEITLevel 10 · 4,074 ELOSTANDINGTop 12.4% of rankedPEAK ELO4,074csdb.gg/stats

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Performance scores

Aim96
Positioning79
Utility63

0–100 skill scores via Leetify.

Recent form

HOT51–48–1Last 10051%Win rateLWWLWLWWWW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −0.9pp headshot accuracy · −80ms 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 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 425ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 413ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 26%
  • Avg reaction 453ms

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 (+1.8 against its own average).

Aim9.6
Utility6.3
Positioning7.9
Opening Duels5.5
Clutch4.8

Sharp aimerStrong CT-side opener

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

s1mple

Plays most like s1mple 94% playstyle similarity

Most alike: utility contribution, positioning 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

Strengths

Aim. Aim score of 96 — the mechanical foundation is a clear strength.

CT openings. 67% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

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

T-side openings. Opening success drops from 67% on CT to 43% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim9.6
Positioning7.9
Utility6.3
Mechanics7.9
Opening Duels6.3
Win Impact8.3

Composite 8.5/10 (Elite), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time446ms−27ms
first ⅓ avg 473ms → last ⅓ avg 446ms
Headshot accuracy29.4%+0.9%
first ⅓ avg 28.5% → last ⅓ avg 29.4%

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

0.16Best match rating · 13–1 · cache, 25 Jul →
54%Best headshot accuracy · 7–13 · anubis, 26 Sept →
313msFastest reaction time · 13–7 · cache, 4 Oct →
13–0Biggest win · cache, 25 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
8–17In matches decided by ≤2 rounds
13Overtime games

Map breakdown

cacheBest map · 88% over 16dust2Weakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
ancientS2719–870%0.02
nukeD185–1328%-0.01
cacheS1614–288%0.04
mirageB137–654%0.02
infernoD134–931%-0.03
dust2D82–625%-0.01
anubis—30–30%-0.03
overpass—20–20%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

6,331Matches
61%Win rate
1.19Avg K/D
92.0ADR
60%Headshot %

Clutches & streaks

44%1v1 clutch win
26%1v2 clutch win
20Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage33864%1.3319.0
Ancient24364%1.4319.4
Nuke9867%1.4018.7
Dust28255%1.2417.7
Vertigo5173%1.2417.1
Overpass3269%1.3819.2
Train3174%1.4020.6
Inferno2861%1.1717.5

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Inventory

$21,512Inventory value45ItemsFull inventory breakdown →
M4A4 | Howl (Minimal Wear)$1,837★ Karambit | Gamma Doppler (Factory New)$1,831M4A1-S | Welcome to the Jungle (Factory New)$1,824AK-47 | Hydroponic (Factory New)$1,805★ Karambit | Fade (Factory New)$1,775★ Sport Gloves | Hedge Maze (Field-Tested)$1,731

Skill profile

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

28.8%Headshot accuracy
39.1%Accuracy (enemy spotted)
42.4%Spray accuracy
85.7%Counter-strafing
9.0°Preaim
441msReaction time
43.3%T opening success
67.3%CT opening success
0.45Enemies flashed / flash
3.8%Flash assists
7.54HE damage / grenade
13.13Flashes / 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 0.4507 — below the 0.5 mark we flag

    Grenade Lineups →
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.

25% win rate across 8 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
ancient10–13-0.0026%6 Oct →
cache13–7-0.0332%4 Oct →
mirage13–60.1128%4 Oct →
ancient10–13-0.0126%4 Oct →
nuke13–50.0015%4 Oct →
mirage11–13-0.0426%4 Oct →
nuke13–110.0035%4 Oct →
cache13–7-0.0116%4 Oct →
ancient13–30.0330%3 Oct →
dust213–60.0019%3 Oct →
mirage13–10.0823%3 Oct →
inferno11–13-0.0526%3 Oct →
cache13–50.0530%3 Oct →
cache13–9-0.0220%2 Oct →
ancient13–110.0236%2 Oct →
nuke11–130.0233%2 Oct →
inferno14–160.0424%1 Oct →
nuke10–13-0.0429%1 Oct →
cache13–50.0431%1 Oct →
ancient13–60.0410%26 Sept →
anubis7–130.0054%26 Sept →
inferno10–13-0.0720%26 Sept →
inferno10–13-0.0720%26 Sept →
ancient13–60.0410%26 Sept →
anubis7–130.0054%26 Sept →
nuke14–16-0.0328%25 Sept →
ancient13–8-0.0151%25 Sept →
cache13–00.1130%25 Sept →
cache13–00.1130%25 Sept →
ancient13–8-0.0151%25 Sept →
nuke14–16-0.0328%25 Sept →
ancient13–8-0.0133%21 Sept →
cache13–110.0444%21 Sept →
ancient13–8-0.0133%21 Sept →
cache13–110.0444%21 Sept →
cache13–70.0338%21 Sept →
nuke17–19-0.0438%21 Sept →
ancient13–70.0439%21 Sept →
cache13–70.0338%21 Sept →
ancient13–70.0439%21 Sept →
nuke17–19-0.0438%21 Sept →
cache11–130.0129%10 Sept →
ancient13–5-0.0221%10 Sept →
inferno10–13-0.0926%10 Sept →
ancient14–160.0038%9 Sept →
anubis8–13-0.0930%9 Sept →
inferno13–50.0135%8 Sept →
mirage17–190.0025%8 Sept →
ancient13–90.0338%8 Sept →
ancient13–70.0732%4 Sept →
ancient13–6-0.0028%19 Aug →
dust26–13-0.0323%19 Aug →
inferno7–130.0040%19 Aug →
cache13–70.0750%16 Aug →
inferno10–13-0.0623%16 Aug →
nuke13–30.0028%16 Aug →
dust211–130.0031%13 Aug →
ancient7–10-0.0139%13 Aug →
mirage13–100.0825%12 Aug →
dust213–80.0331%12 Aug →
inferno13–6-0.0142%12 Aug →
mirage9–130.0011%11 Aug →
mirage13–10-0.0127%10 Aug →
ancient14–160.0230%9 Aug →
mirage9–130.0430%1 Aug →
ancient13–60.0936%1 Aug →
dust29–13-0.0029%1 Aug →
nuke10–13-0.0130%31 Jul →
inferno19–17-0.0423%31 Jul →
mirage16–14-0.0130%31 Jul →
nuke13–40.0113%27 Jul →
ancient13–100.0341%25 Jul →
cache13–10.1631%25 Jul →
nuke7–130.0340%25 Jul →
dust210–130.0124%24 Jul →
ancient10–130.0132%24 Jul →
ancient13–160.0032%22 Jul →
cache14–16-0.0546%22 Jul →
nuke13–10.1028%21 Jul →
ancient13–110.0017%21 Jul →
dust210–13-0.0528%21 Jul →
nuke11–13-0.0127%21 Jul →
cache13–70.0430%21 Jul →
ancient13–100.0838%21 Jul →
overpass4–13-0.0638%8 Jun →
nuke11–13-0.0123%8 Jun →
nuke6–13-0.0814%7 Jun →
nuke5–13-0.0129%6 Jun →
ancient13–40.0426%6 Jun →
mirage5–13-0.0019%20 May →
mirage3–13-0.0133%14 May →
ancient8–13-0.0626%14 May →
mirage13–110.0238%13 May →
inferno8–10.0516%13 May →
inferno6–6-0.0445%13 May →
nuke6–130.0039%13 May →
dust28–13-0.0119%13 May →
mirage13–50.0318%3 May →
inferno14–16-0.0524%2 May →
overpass8–130.0022%2 May →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 103K ELO Club1,000 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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