Jolly

Jolly — CS2 Stats

KY76561198284083866[U:1:323818138]Steam profile ↗✓ No bans

1,191Tracked matches63%Win rate2020Tracked since
CSDB Rating7.0 StrongAll-Rounder
Premier CS Rating24,747Top 25% of 215,386 CSDB-tracked playersPink band · top ~3.3% of ranked players (population est.)
CSDB Leaderboard#26246 of 261579 tracked
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Oct 2026 (17 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,191 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 24,747 +4,938 14 Dec – 28 Oct · 29 days played
19,80924,747peak 24,74714 Dec28 Oct
24,747Peak Premier in tracked matches
45Days played since 2025-12-11

Premier CS Rating

  • At peak — 24,747
  • Next: Red band at 25,000 — 253 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-06
  • Purple band first seen 2026-09-06

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGJollyPREMIER24,747 · Pink bandcsdb.gg/stats

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Performance scores

Aim78
Positioning66
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY60–38–2Last 10060%Win rateWLWWWWWLLL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +0.0pp headshot accuracy · −26ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 26%
  • Avg reaction 524ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 26%
  • Avg reaction 529ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 26%
  • Avg reaction 542ms

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.

Aim7.8
Utility5.4
Positioning6.6
Opening Duels5.4

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

m0NESY

Plays most like m0NESY 95% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 553ms 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

Aim7.8
Positioning6.6
Utility5.4
Mechanics6.4
Opening Duels5.2
Win Impact9.4

Composite 7.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 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 time554ms−74ms
first ⅓ avg 627ms → last ⅓ avg 554ms
Headshot accuracy23.7%+8.8%
first ⅓ avg 14.9% → last ⅓ avg 23.7%

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

0.23Best match rating · 9–1 · vertigo, 17 Aug →
100%Best headshot accuracy · 0–7 · ancient, 16 Aug →
375msFastest reaction time · 4–13 · mirage, 30 Apr →
11–0Biggest win · ancient, 3 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak
7–6In matches decided by ≤2 rounds
6Overtime games

Map breakdown

anubisBest map · 100% over 5overpassWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
infernoS1913–668%0.00
mirageA1811–761%0.01
ancientB178–947%-0.00
nukeA148–657%0.03
dust2S107–370%0.02
anubisS55–0100%0.03
overpassC52–340%0.01
vertigo—41–325%0.00
rooftop—43–175%0.08
train—21–150%-0.05
cache—11–0100%0.00
debris—10–10%-0.00

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Skill profile

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

25.5%Headshot accuracy
32.6%Accuracy (enemy spotted)
32.7%Spray accuracy
78.7%Counter-strafing
8.6°Preaim
553msReaction time
54.2%T opening success
47.1%CT opening success
0.51Enemies flashed / flash
4.5%Flash assists
8.74HE damage / grenade
8.67Flashes / match

Recommended for you

Spend your practice time on Overpass

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–110.0038%5 Sept →
ancient8–130.0514%5 Sept →
mirage13–40.1631%4 Sept →
anubis13–50.0126%4 Sept →
inferno13–11-0.0024%3 Sept →
ancient11–00.0645%3 Sept →
inferno13–6-0.0028%3 Sept →
inferno9–13-0.0124%1 Sept →
dust25–130.0117%20 Aug →
mirage7–13-0.0119%20 Aug →
mirage2–13-0.0325%19 Aug →
anubis13–60.0210%19 Aug →
anubis13–20.0438%17 Aug →
ancient14–160.0114%17 Aug →
inferno9–20.1025%17 Aug →
vertigo9–10.2311%17 Aug →
ancient0–7-0.08100%16 Aug →
inferno8–13-0.0613%5 Aug →
inferno3–9-0.188%3 Aug →
mirage13–100.0621%3 Aug →
cache13–100.0023%2 Aug →
ancient13–8-0.027%2 Aug →
mirage13–12-0.0515%27 Jul →
debris8–8-0.0014%26 Jul →
nuke6–9-0.118%26 Jul →
nuke9–30.1919%2 Jul →
inferno9–6-0.0715%2 Jul →
vertigo7–9-0.0926%2 Jul →
inferno8–8-0.0510%2 Jul →
ancient13–70.0927%1 May →
mirage4–13-0.0028%30 Apr →
ancient5–13-0.0736%29 Apr →
dust213–10-0.0226%29 Apr →
inferno4–00.0823%29 Apr →
nuke16–140.0444%29 Apr →
dust213–20.0231%29 Apr →
inferno7–13-0.0235%29 Apr →
dust213–70.0923%24 Apr →
dust213–90.1324%23 Apr →
anubis13–90.0640%23 Apr →
anubis13–70.0123%21 Jan →
nuke6–13-0.0533%19 Jan →
inferno11–13-0.0234%13 Jan →
mirage13–80.1233%11 Jan →
ancient13–6-0.0230%9 Jan →
inferno13–50.0336%8 Jan →
nuke10–130.0239%8 Jan →
ancient2–13-0.0614%7 Jan →
mirage13–10-0.0110%7 Jan →
nuke13–10-0.0013%7 Jan →
overpass7–13-0.054%6 Jan →
mirage13–40.1338%6 Jan →
ancient11–130.0119%5 Jan →
inferno13–90.018%5 Jan →
ancient1–13-0.0217%5 Jan →
nuke4–13-0.000%4 Jan →
ancient16–14-0.0210%4 Jan →
overpass13–11-0.0114%3 Jan →
mirage16–130.0020%3 Jan →
ancient9–13-0.0412%1 Jan →
dust213–10-0.0220%30 Dec →
mirage9–13-0.0510%30 Dec →
mirage13–8-0.036%30 Dec →
nuke13–5-0.0310%28 Dec →
mirage9–13-0.0215%27 Dec →
mirage13–60.0439%27 Dec →
nuke9–13-0.018%23 Dec →
inferno13–5-0.0115%23 Dec →
mirage3–13-0.0918%23 Dec →
ancient6–13-0.0114%22 Dec →
dust23–13-0.0111%21 Dec →
mirage8–13-0.0212%21 Dec →
inferno13–90.055%19 Dec →
ancient13–90.0417%18 Dec →
ancient13–70.0416%18 Dec →
ancient13–6-0.028%17 Dec →
mirage13–40.0117%17 Dec →
nuke14–160.0317%17 Dec →
inferno9–10.1533%17 Dec →
rooftop9–00.0819%17 Dec →
dust211–13-0.042%17 Dec →
overpass7–13-0.058%17 Dec →
vertigo5–9-0.0818%17 Dec →
inferno9–40.1419%17 Dec →
nuke9–7-0.0210%17 Dec →
rooftop9–20.1215%17 Dec →
nuke9–10.1715%17 Dec →
inferno9–6-0.0720%17 Dec →
train13–8-0.076%15 Dec →
dust213–9-0.0414%15 Dec →
nuke16–12-0.0311%15 Dec →
train7–13-0.0424%14 Dec →
dust213–50.0419%14 Dec →
nuke9–30.1527%13 Dec →
overpass9–20.239%13 Dec →
vertigo3–9-0.0620%13 Dec →
inferno9–50.0313%12 Dec →
overpass5–9-0.0818%12 Dec →
rooftop5–90.0115%12 Dec →
rooftop9–20.096%11 Dec →

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 →

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