JellyBean — CS2 Stats

76561198121508867[U:1:161243139]✓ No bans

373Tracked matches31%Win rate2020Tracked since
CSDB Rating3.7 Learning
Ladder ranks via Leetify

Performance scores

Aim36
Positioning46
Utility67

0–100 skill scores via Leetify.

Recent form

COLD45523Last 10045%Win rateLLLLLLWLLW

Last 10 vs previous 10: -40pp win rate · -0.03 avg rating

Player DNA

Aim3.6
Aggression6.4
Utility6.7
Positioning4.6
Opening Duels1.7

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Twistzz

Plays most like Twistzz 83% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: 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

Strengths

Flashes. 0.78 enemies blinded per flash — utility that consistently lands.

Areas to improve

CT openings. Opening success drops from 46% on T to 28% on CT — first contacts on the defending side are being lost.

Reaction time. 662ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.6
Positioning4.6
Utility6.7
Mechanics3.4
Opening Duels2.0
Win Impact0.0

Composite 3.7/10 (Learning), 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-0.00−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time661ms−3ms
first ⅓ avg 665ms → last ⅓ avg 661ms
Headshot accuracy12.9%−2.6%
first ⅓ avg 15.5% → last ⅓ avg 12.9%

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.

Highlights

0.13Best rating — train 13–8
131Biggest win — dust2
4Longest win streak
L6Current streak
710In matches decided by ≤2 rounds
12Overtime games

Map breakdown

overpassBest map · 60% over 10trainWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2B37181949%-0.00
mirageC1771041%-0.00
nukeD124833%0.00
infernoB115645%0.00
overpassA106460%-0.00
trainD51420%0.03
anubis42250%-0.03
ancient32167%0.03
cache1010%-0.01

Across the last 100 tracked matches.

Skill profile

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

12.6%Headshot accuracy
31.6%Accuracy (enemy spotted)
33.0%Spray accuracy
65.5%Counter-strafing
9.8°Preaim
662msReaction time
45.9%T opening success
28.1%CT opening success
0.78Enemies flashed / flash
6.5%Flash assists
8.52HE damage / grenade
13.48Flashes / 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 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.6216% — below the 15% mark we flag

    Aim Training
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 28.1293% — below the 40% mark we flag

Spend your practice time on Train

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.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
dust210–130.0015%12 Jul
dust20–13-0.0718%12 Jul
cache13–16-0.0114%12 Jul
dust24–130.039%8 Feb
inferno6–130.0014%8 Feb
nuke7–13-0.0411%8 Feb
ancient16–120.0518%8 Feb
mirage4–13-0.0014%7 Feb
dust26–13-0.1023%7 Feb
inferno13–10-0.0012%7 Feb
inferno1–13-0.076%7 Feb
dust23–13-0.0712%7 Feb
inferno13–90.0619%6 Feb
ancient13–50.055%6 Feb
mirage13–100.0316%6 Feb
dust213–60.0616%6 Feb
anubis8–130.0320%6 Feb
train5–13-0.0217%18 Jan
mirage13–10-0.0210%4 Jan
dust213–10.117%4 Jan
mirage6–130.0513%4 Jan
inferno11–13-0.012%3 Jan
dust214–16-0.0710%3 Jan
mirage7–13-0.0610%3 Jan
inferno15–15-0.0112%2 Jan
nuke9–13-0.014%2 Jan
dust213–8-0.0414%2 Jan
nuke10–13-0.0112%2 Jan
dust210–130.049%2 Jan
dust28–130.0217%2 Jan
overpass16–13-0.0113%2 Jan
dust27–130.0420%2 Jan
overpass13–80.0116%2 Jan
overpass11–130.0112%2 Jan
mirage10–130.0113%30 Dec
overpass13–60.0516%30 Dec
ancient9–13-0.0211%30 Dec
nuke13–110.0016%30 Dec
dust213–2-0.0111%30 Dec
mirage2–13-0.0418%30 Dec
mirage13–70.0517%30 Dec
dust28–13-0.013%18 Nov
overpass13–11-0.0514%13 Sept
overpass9–13-0.0010%17 Aug
dust213–160.0117%17 Aug
inferno16–12-0.0012%17 Aug
nuke9–13-0.0113%17 Aug
overpass6–13-0.057%17 Aug
nuke11–13-0.0533%16 Aug
mirage3–13-0.0910%16 Aug
mirage13–8-0.005%16 Aug
inferno13–11-0.016%16 Aug
mirage15–150.018%16 Aug
dust213–11-0.0314%16 Aug
mirage9–13-0.0519%16 Aug
dust27–13-0.0812%15 Aug
train10–13-0.0211%15 Aug
dust213–2-0.0313%15 Aug
overpass13–40.0213%15 Aug
inferno11–130.0310%15 Aug
mirage7–13-0.0411%15 Aug
nuke4–13-0.0521%12 Aug
overpass13–30.0213%12 Aug
dust213–160.017%12 Aug
dust210–13-0.0214%12 Aug
overpass11–13-0.0118%10 Aug
dust213–6-0.0225%10 Aug
dust213–10-0.0337%10 Aug
anubis13–8-0.0515%16 Jun
inferno13–50.1120%16 Jun
mirage8–13-0.0210%12 Jun
inferno5–13-0.068%12 Jun
anubis13–8-0.0610%12 Jun
train13–80.1313%12 Jun
dust26–130.0121%8 Jun
dust211–13-0.016%7 Jun
nuke13–110.045%7 Jun
mirage13–100.039%7 Jun
dust213–90.0314%7 Jun
mirage13–70.038%7 Jun
train10–130.049%7 Jun
mirage13–50.085%7 Jun
dust213–30.0411%7 Jun
dust213–10-0.0510%7 Jun
dust213–90.0410%7 Jun
dust27–13-0.0615%5 Jun
dust213–90.0117%5 Jun
anubis3–13-0.0513%5 Jun
dust213–9-0.0116%5 Jun
dust213–9-0.0131%2 Jun
nuke13–70.0614%2 Jun
nuke13–90.0324%2 Jun
dust211–130.0519%2 Jun
dust216–140.0428%1 Jun
nuke14–160.0124%1 Jun
train5–130.0220%1 Jun
dust215–15-0.0118%1 Jun
nuke11–130.0318%1 Jun
dust213–110.0520%22 Mar
dust213–30.0212%22 Mar

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 →