jelliibob

jelliibob — CS2 Stats

CA76561199222165277[U:1:1261899549]Steam profile ↗✓ No bans

1,537Tracked matches55%Win rate2023Tracked since
1,599Hours in CS58Hrs last 2 wks
CSDB Rating5.1 DevelopingPositional Player
Premier CS Rating17,740Purple band · top ~17.5% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Oct 2026 (yesterday). 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: 17,740 +4,728 2 Sept – 10 Oct · 19 days played
13,01218,969peak 18,9692 Sept10 Oct
19,340Peak Premier in tracked matches
19Days played since 2026-09-02

Premier CS Rating

  • 1,229 below peak (18,969)
  • Next: Pink band at 20,000 — 2,260 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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate57.2%44.3%46.9%above
Shot accuracy0.8%11.9%13.0%12.2% short
Kill/death ratio0.931.031.080.15 short
Match win rate43.6%45.2%46.7%3.1% short

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

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

Share this profile

CSDB.GGjelliibobPREMIER17,740 · Purple 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

Aim59
Positioning49
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY49–48–3Last 10049%Win rateLLWWWLWWLL

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · +0.1pp headshot accuracy · −49ms reaction

Win rate 0pp 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 22%
  • Avg reaction 605ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 627ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 651ms

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 (+2.3 against its own average).

Aim5.9
Utility4.1
Positioning4.9
Opening Duels0.5
Clutch1.0

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

ZywOo

Plays most like ZywOo 85% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 624ms 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

Aim5.9
Positioning4.9
Utility4.1
Mechanics5.5
Opening Duels2.6
Win Impact6.7

Composite 5.1/10 (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-0.00−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time624ms−30ms
first ⅓ avg 654ms → last ⅓ avg 624ms
Headshot accuracy19.7%−1.1%
first ⅓ avg 20.8% → last ⅓ avg 19.7%

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

0.10Best match rating · 13–4 · nuke, 10 Oct →
40%Best headshot accuracy · 13–5 · dust2, 4 Oct →
477msFastest reaction time · 12–0 · anubis, 4 Oct →
13–1Biggest win · mirage, 4 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
12–9In matches decided by ≤2 rounds
11Overtime games

Map breakdown

cacheBest map · 67% over 12mirageWeakest map · 37% over 19
MapGradePlayedRecordWin rateAvg rating
mirageC197–1237%-0.00
dust2B178–947%-0.01
infernoB158–753%-0.01
nukeB137–654%-0.03
anubisC125–742%-0.00
cacheS128–467%-0.01
ancientB115–645%-0.02
office—11–0100%0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (37% over 19). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

32,350Lifetime kills
0.93K/D
2,247Matches
43.6%Match win rate
57.2%Headshot % · Top 10% of Purple band
0.8%Shot accuracy
4,269MVPs
809Hours (in match)
3,185Bombs planted
774Bombs defused

Most-used weapons

Lifetime map wins

4,135dust2
3,493inferno
2,473nuke
1,365vertigo
351train
21office
15italy
4cbble

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

Faceit stats

Combat

15Matches
40%Win rate
1.04Avg K/D
72.7ADR
58%Headshot %

Clutches & streaks

25%1v1 clutch win
44%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage850%1.1313.6
Dust2450%1.1815.3
Inferno20%0.6811.5
Vertigo10%0.509.0

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.

20.5%Headshot accuracy
32.4%Accuracy (enemy spotted)
31.9%Spray accuracy
74.9%Counter-strafing
9.5°Preaim
624msReaction time
39.5%T opening success
41.3%CT opening success
0.46Enemies flashed / flash
4.4%Flash assists
7.47HE damage / grenade
4.75Flashes / 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 0.4589 — 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 39.5043% — below the 40% mark we flag

Spend your practice time on Mirage

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

37% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis7–13-0.0712%10 Oct →
mirage8–130.0324%10 Oct →
nuke13–40.1023%10 Oct →
ancient13–10-0.0530%9 Oct →
ancient11–1-0.0123%9 Oct →
inferno9–13-0.0515%9 Oct →
inferno13–20.0626%9 Oct →
nuke16–13-0.0012%8 Oct →
mirage4–13-0.0716%8 Oct →
mirage2–13-0.0215%8 Oct →
dust215–15-0.0622%8 Oct →
cache13–110.0525%8 Oct →
dust213–110.0013%6 Oct →
dust210–13-0.0729%6 Oct →
nuke1–1-0.120%6 Oct →
dust213–100.0425%6 Oct →
anubis13–10-0.0311%6 Oct →
mirage11–13-0.0016%6 Oct →
mirage11–130.0822%6 Oct →
ancient11–13-0.0133%5 Oct →
anubis2–13-0.0113%5 Oct →
inferno6–13-0.0126%4 Oct →
dust213–110.0426%4 Oct →
mirage13–10.0419%4 Oct →
dust213–5-0.0040%4 Oct →
anubis12–00.030%4 Oct →
nuke7–13-0.0413%4 Oct →
dust26–13-0.0511%4 Oct →
nuke13–11-0.0018%3 Oct →
cache16–120.0529%3 Oct →
inferno13–110.0314%3 Oct →
ancient6–13-0.0230%3 Oct →
office13–70.0220%3 Oct →
nuke9–13-0.0613%2 Oct →
dust27–13-0.0214%2 Oct →
cache13–8-0.0324%2 Oct →
inferno11–13-0.0318%2 Oct →
ancient13–110.0418%2 Oct →
nuke13–7-0.0714%2 Oct →
cache13–5-0.0336%2 Oct →
anubis13–100.0026%2 Oct →
ancient13–7-0.0117%2 Oct →
cache4–13-0.0515%2 Oct →
mirage8–130.0216%2 Oct →
dust210–13-0.0214%1 Oct →
mirage13–9-0.0019%1 Oct →
dust213–4-0.0012%1 Oct →
nuke5–13-0.0126%1 Oct →
inferno13–50.068%1 Oct →
cache13–7-0.0023%1 Oct →
dust26–13-0.0118%1 Oct →
mirage11–13-0.0236%1 Oct →
nuke1–9-0.2718%1 Oct →
cache13–11-0.0617%1 Oct →
dust26–13-0.0219%30 Sept →
cache15–15-0.0327%30 Sept →
anubis7–13-0.0116%30 Sept →
inferno3–13-0.0524%30 Sept →
inferno11–13-0.0822%30 Sept →
cache1–13-0.097%30 Sept →
dust29–13-0.0124%30 Sept →
inferno13–8-0.0221%29 Sept →
ancient7–130.0421%29 Sept →
inferno6–13-0.0630%29 Sept →
anubis13–90.0521%29 Sept →
nuke13–40.0221%26 Sept →
cache13–110.0527%26 Sept →
anubis11–13-0.0216%26 Sept →
inferno8–130.0328%26 Sept →
dust216–130.0323%25 Sept →
anubis10–13-0.0425%25 Sept →
inferno13–11-0.0614%25 Sept →
anubis13–16-0.0214%25 Sept →
mirage16–14-0.0712%25 Sept →
mirage13–8-0.0120%25 Sept →
mirage13–60.0116%25 Sept →
cache13–50.0425%24 Sept →
mirage13–90.0532%24 Sept →
nuke9–13-0.0221%24 Sept →
inferno13–60.0123%24 Sept →
nuke16–13-0.0217%23 Sept →
anubis12–160.0420%23 Sept →
nuke11–130.0717%23 Sept →
mirage10–130.0112%23 Sept →
ancient13–5-0.0217%22 Sept →
dust213–90.0321%22 Sept →
mirage12–120.0221%21 Sept →
dust213–100.0429%21 Sept →
ancient6–13-0.0712%20 Sept →
mirage10–13-0.0039%20 Sept →
inferno13–40.0214%20 Sept →
mirage13–11-0.0221%20 Sept →
ancient0–13-0.0218%20 Sept →
anubis13–100.0524%20 Sept →
mirage14–16-0.0226%20 Sept →
cache8–130.0427%20 Sept →
ancient9–13-0.0417%20 Sept →
dust210–13-0.0117%19 Sept →
inferno16–130.0226%19 Sept →
mirage10–13-0.0123%19 Sept →

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.