Jab Jabich

Jab Jabich — CS2 Stats

LV76561198258441041[U:1:298175313]Steam profile ↗✓ No bans

437Tracked matches39%Win rate2023Tracked since
1,648Hours in CS21Hrs last 2 wks
CSDB Rating5.2 DevelopingAll-Rounder
Premier CS Rating10,762Blue band · top ~50.9% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Sep 2026 (55 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 10,762 → 10,762
+8Tracked matches · now 437
−1.4ppWin rate · 40.7% → 39.3%

Rating over time

Premier CS Rating: 10,762 -5,820 23 Jul – 4 Sept · 15 days played
10,76216,810peak 16,81023 Jul4 Sept
17,905Peak Premier in tracked matches
15Days played since 2026-07-23

Premier CS Rating

  • 6,048 below peak (16,810)
  • -1,285 over 30 days · declining
  • Next: Purple band at 15,000 — 4,238 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-02
  • Light Blue band first seen 2026-09-02

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 rate44.0%42.0%44.4%meets
Shot accuracy16.6%9.6%11.9%above
Kill/death ratio1.300.981.03above
Match win rate51.1%43.8%45.2%above

Across every metric we can compare, this profile already matches the typical Purple band player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGJab JabichPREMIER10,762 · Blue bandcsdb.gg/stats

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Performance scores

Aim77
Positioning48
Utility37

0–100 skill scores via Leetify.

Recent form

COLD40–55–5Last 10040%Win rateLLWLLLWWTL

Last 10 vs previous 10: −30pp win rate · −0.03 avg rating · +5.4pp headshot accuracy · +95ms reaction

Win rate down 30pp 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 -0.04
  • Avg headshot accuracy 26%
  • Avg reaction 686ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 30%
  • Avg reaction 654ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 28%
  • Avg reaction 607ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim7.7
Utility3.7
Positioning4.8
Opening Duels4.2

Strong CT-side openerLimited 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 92% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower aim profile; lower 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

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 56% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 593ms 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

Aim7.7
Positioning4.8
Utility3.7
Mechanics7.2
Opening Duels4.0
Win Impact1.4

Composite 5.2/10 (Developing), 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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time602ms+5ms
first ⅓ avg 596ms → last ⅓ avg 602ms
Headshot accuracy25.0%+2.4%
first ⅓ avg 22.5% → last ⅓ avg 25.0%

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

0.24Best match rating · 5–1 · nuke, 4 Sept →
48%Best headshot accuracy · 5–13 · dust2, 25 Aug →
391msFastest reaction time · 13–3 · nuke, 25 Aug →
13–0Biggest win · cache, 24 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
7–7In matches decided by ≤2 rounds
12Overtime games

Map breakdown

infernoBest map · 67% over 6ancientWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageC3013–1743%0.01
dust2D237–1630%0.03
nukeB2210–1245%0.02
cacheB115–645%-0.02
ancientD61–517%0.02
infernoS64–267%0.04
anubis—20–20%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

50,532Lifetime kills
1.30K/D · Top 10% of Blue band
2,772Matches
51.1%Match win rate · Top 10% of Blue band
44.0%Headshot % · Top 50% of Blue band
16.6%Shot accuracy · Top 25% of Blue band
10,024MVPs
766Hours (in match)
2,450Bombs planted
497Bombs defused

Most-used weapons

AK-4715,748
AWP3,989
UMP-452,536
SG 5531,165
MP71,111
FAMAS1,104

Lifetime map wins

2,914inferno
2,631dust2
1,433cbble
1,134nuke
816vertigo
773train
87office
42assault

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.

25.0%Headshot accuracy
32.9%Accuracy (enemy spotted)
35.9%Spray accuracy
82.4%Counter-strafing
9.3°Preaim
593msReaction time
35.3%T opening success
56.5%CT opening success
0.44Enemies flashed / flash
6.8%Flash assists
7.46HE damage / grenade
4.53Flashes / 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 0.4373 — 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 35.2641% — below the 40% mark we flag

Spend your practice time on Ancient

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache4–13-0.0614%26 Oct →
cache7–130.0327%26 Oct →
nuke13–110.0228%26 Oct →
nuke0–13-0.1127%25 Oct →
nuke2–13-0.0735%25 Oct →
nuke10–130.0232%25 Oct →
nuke5–10.2438%4 Sept →
nuke13–6-0.0433%4 Sept →
mirage12–12-0.0522%25 Aug →
dust25–13-0.0248%25 Aug →
mirage6–110.0717%25 Aug →
ancient13–110.0524%25 Aug →
nuke13–20.0621%25 Aug →
dust213–50.0329%25 Aug →
nuke13–30.0142%25 Aug →
mirage6–130.0325%25 Aug →
nuke12–12-0.0425%23 Aug →
nuke13–90.0429%23 Aug →
dust22–13-0.0121%23 Aug →
inferno9–50.0817%3 Aug →
dust28–130.0835%3 Aug →
mirage8–13-0.0536%1 Aug →
mirage13–60.0724%1 Aug →
cache3–13-0.0733%31 Jul →
dust29–130.0021%30 Jul →
ancient6–130.0413%28 Jul →
dust213–100.0617%28 Jul →
dust27–130.0114%28 Jul →
mirage13–50.0615%28 Jul →
nuke13–160.0721%28 Jul →
mirage13–10.0312%28 Jul →
anubis5–13-0.0912%28 Jul →
cache13–6-0.0219%28 Jul →
nuke8–130.0421%27 Jul →
ancient11–130.0118%27 Jul →
mirage13–80.0815%27 Jul →
dust212–16-0.0216%27 Jul →
mirage7–13-0.0311%27 Jul →
ancient15–150.0417%27 Jul →
dust25–130.0215%27 Jul →
dust213–50.0019%27 Jul →
mirage7–13-0.0312%27 Jul →
inferno13–90.1124%27 Jul →
mirage15–150.0114%27 Jul →
nuke13–70.0014%27 Jul →
mirage11–130.0414%27 Jul →
mirage16–140.0518%27 Jul →
dust23–130.0329%27 Jul →
dust213–60.0445%26 Jul →
ancient15–15-0.0113%26 Jul →
inferno2–13-0.1113%26 Jul →
mirage7–130.1018%26 Jul →
dust23–13-0.0417%26 Jul →
mirage2–70.0123%26 Jul →
nuke5–13-0.0112%26 Jul →
dust213–9-0.0517%26 Jul →
mirage13–110.0512%26 Jul →
cache12–40.0320%26 Jul →
nuke13–4-0.0113%26 Jul →
mirage8–130.0821%26 Jul →
dust213–16-0.0112%26 Jul →
mirage10–13-0.0517%26 Jul →
mirage13–70.029%26 Jul →
mirage16–140.0315%25 Jul →
mirage6–13-0.0619%25 Jul →
mirage7–130.0323%25 Jul →
nuke9–130.0317%25 Jul →
dust213–70.1227%25 Jul →
dust26–130.1130%25 Jul →
nuke10–130.0732%25 Jul →
mirage5–130.0016%25 Jul →
mirage13–9-0.0111%25 Jul →
nuke14–160.0413%25 Jul →
dust213–80.0925%25 Jul →
cache7–130.0032%25 Jul →
mirage13–11-0.0037%25 Jul →
cache9–13-0.0427%25 Jul →
inferno13–70.0120%25 Jul →
ancient11–13-0.0018%25 Jul →
dust210–130.0014%25 Jul →
dust211–130.0917%25 Jul →
cache16–130.0021%24 Jul →
mirage7–13-0.0423%24 Jul →
nuke8–13-0.0830%24 Jul →
cache11–13-0.0616%24 Jul →
mirage7–13-0.0322%24 Jul →
cache16–120.0217%24 Jul →
nuke13–40.1122%24 Jul →
dust28–13-0.0120%24 Jul →
inferno13–20.2035%24 Jul →
mirage13–80.0227%24 Jul →
dust29–130.0119%24 Jul →
mirage13–11-0.0317%24 Jul →
mirage13–90.0022%24 Jul →
cache13–0-0.0413%24 Jul →
nuke13–00.1221%24 Jul →
inferno6–13-0.0534%24 Jul →
anubis12–160.0422%23 Jul →
dust211–130.0428%23 Jul →
nuke8–13-0.0318%23 Jul →

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 →

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