JellyBoy — CS2 Stats

76561199032361774[U:1:1072096046]

1,578Tracked matches67%Win rate2020Tracked since
2,123Hours in CS2Hrs last 2 wks
CSDB Rating5.9 Solid
Premier CS Rating19,354Purple band · top ~11.1% of ranked players (population est.)
CSDB Leaderboard#8982 of 18827 tracked
WingmanMaster Guardian Elite
Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=201), 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 playerPink band medianvs Pink band
Headshot rate40.6%48.1%7.5% short
Shot accuracy10.1%12.9%2.8% short
Kill/death ratio1.291.08above
Match win rate42.3%46.5%4.2% 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.GGJellyBoyPREMIER19,354 · Purple bandcsdb.gg/stats

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Performance scores

Aim56
Positioning58
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY49438Last 10049%Win rateLWLLWLWWWL

Last 10 vs previous 10: -30pp win rate · -0.02 avg rating

Player DNA

Aim5.6
Aggression6.0
Utility6.4
Positioning5.8
Opening Duels3.0

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 89% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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

Areas to improve

Reaction time. 608ms 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

Aim5.6
Positioning5.8
Utility6.4
Mechanics5.5
Opening Duels3.0
Win Impact10.0

Composite 5.9/10 (Solid), 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 rating0.04−0.01
first ⅓ avg 0.05 → last ⅓ avg 0.04
Reaction time624ms+63ms
first ⅓ avg 561ms → last ⅓ avg 624ms
Headshot accuracy21.5%+1.7%
first ⅓ avg 19.8% → last ⅓ avg 21.5%

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

0.29Best rating — inferno 9–5
133Biggest win — train
4Longest win streak
68In matches decided by ≤2 rounds
6Overtime games

Map breakdown

dust2Best map · 83% over 6mirageWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
infernoC34142041%0.05
nukeB158753%0.05
cacheC145936%-0.00
anubisS107370%0.02
mirageD72529%-0.01
dust2S65183%0.07
ancientA53260%0.01
train43175%0.03
poseidon2020%-0.14
office110100%0.24
boulder1010%-0.09
vertigo110100%0.09

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

83,951Lifetime kills
1.29K/D · Top 25% of tracked players
4,437Matches
42.3%Match win rate
40.6%Headshot %
10.1%Shot accuracy
9,949MVPs
1,231Hours (in match)
3,021Bombs planted
1,246Bombs defused

Most-used weapons

AK-4733,260
AWP8,030
MAC-102,668
MP92,353
FAMAS1,524

Lifetime map wins

7,456inferno
4,464nuke
2,686vertigo
2,317dust2
1,153train
474office
266italy
164cbble

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.

20.9%Headshot accuracy
31.4%Accuracy (enemy spotted)
36.5%Spray accuracy
74.9%Counter-strafing
11.9°Preaim
608msReaction time
34.6%T opening success
49.1%CT opening success
0.54Enemies flashed / flash
11.3%Flash assists
10.43HE damage / grenade
9.07Flashes / 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. 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 34.5936% — 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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
cache11–130.0833%26 Aug
train13–90.0316%19 Aug
cache2–90.0718%14 Aug
anubis11–13-0.0230%14 Aug
anubis16–140.0022%13 Aug
cache5–130.0524%9 Aug
office13–90.2424%9 Aug
train13–60.0324%9 Aug
ancient13–100.0222%7 Aug
inferno7–90.0327%6 Aug
mirage6–13-0.055%5 Aug
dust213–50.1023%5 Aug
dust213–90.1520%4 Aug
train13–30.0613%4 Aug
inferno13–60.0224%3 Aug
inferno4–6-0.0024%3 Aug
nuke13–80.1015%3 Aug
cache13–7-0.0218%30 Jul
inferno13–40.1546%30 Jul
inferno9–30.1827%29 Jul
cache9–13-0.0427%29 Jul
ancient13–11-0.0312%28 Jul
cache4–130.0123%27 Jul
dust213–80.0322%27 Jul
anubis13–10-0.0116%26 Jul
nuke13–110.1217%26 Jul
ancient13–9-0.0220%26 Jul
nuke5–13-0.0419%26 Jul
mirage16–130.0013%26 Jul
inferno13–50.0924%26 Jul
anubis13–90.0314%25 Jul
ancient7–130.0927%24 Jul
cache2–13-0.1021%24 Jul
inferno9–30.0940%24 Jul
inferno8–130.0228%23 Jul
dust26–130.0626%23 Jul
nuke13–90.0128%23 Jul
cache1–7-0.0838%23 Jul
nuke4–13-0.0617%23 Jul
inferno8–13-0.0532%23 Jul
inferno16–130.0425%23 Jul
cache1–13-0.0516%23 Jul
mirage4–13-0.0313%23 Jul
inferno4–130.0028%20 Jul
cache12–10-0.0220%20 Jul
nuke13–40.0718%20 Jul
inferno2–13-0.0124%20 Jul
inferno12–12-0.0114%18 Jul
cache12–120.0122%18 Jul
boulder8–13-0.0921%18 Jul
cache13–11-0.0325%15 Jul
cache13–50.0219%15 Jul
cache13–110.0828%15 Jul
mirage13–80.0416%15 Jul
inferno3–9-0.1247%11 Jul
nuke9–30.1120%11 Jul
inferno7–9-0.0221%11 Jul
inferno4–9-0.1120%8 Jul
inferno7–9-0.1123%8 Jul
inferno8–80.0124%8 Jul
inferno15–15-0.0320%6 Jul
dust213–60.0719%6 Jul
nuke13–50.0418%29 Jun
mirage8–13-0.0419%29 Jun
mirage15–150.0024%27 Jun
inferno14–160.0216%27 Jun
inferno11–13-0.0117%27 Jun
inferno6–90.0524%27 Jun
ancient7–130.0029%26 Jun
inferno13–30.0523%26 Jun
inferno6–10.1618%26 Jun
inferno6–9-0.0532%19 Jun
nuke9–10.2815%19 Jun
inferno9–30.2426%19 Jun
poseidon1–9-0.1127%19 Jun
inferno9–50.2927%19 Jun
inferno9–40.1713%18 Jun
nuke9–50.1623%18 Jun
train8–13-0.0230%17 Jun
nuke10–13-0.0315%17 Jun
anubis4–130.0220%10 Jun
nuke4–90.0620%10 Jun
nuke6–90.0118%10 Jun
inferno8–80.1115%7 Jun
inferno13–80.0913%7 Jun
vertigo13–90.0920%7 Jun
inferno8–80.0011%7 Jun
anubis13–40.0716%6 Jun
inferno13–9-0.0010%6 Jun
mirage8–13-0.0117%1 Jun
nuke10–13-0.0917%31 May
dust213–10-0.0219%31 May
inferno9–30.2820%31 May
nuke9–13-0.0221%29 May
anubis13–60.1125%29 May
inferno8–80.0125%29 May
poseidon3–9-0.1721%29 May
anubis13–3-0.0023%27 May
anubis7–13-0.0312%27 May
anubis13–90.0310%27 May

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 →