ball lickler

ball lickler — CS2 Stats

76561199006375380[U:1:1046109652]Steam profile ↗✓ No bans

92Tracked matches50%Win rate2023Tracked since
90Hours in CS
CSDB Rating6.0 SolidPositional Player
Premier CS Rating14,796Blue band · top ~29.5% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 May 2026 (133 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 41 days played since 18 Mar 2023. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 14,796 -1,156 19 Aug – 15 May · 14 days played
13,38315,952peak 15,95219 Aug15 May
16,394Peak Premier in tracked matches
41Days played since 2023-03-18

Premier CS Rating

  • 1,156 below peak (15,952)
  • Next: Purple band at 15,000 — 204 to go
  • Reached: Purple band · Blue band · Light Blue band

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 rate58.3%41.9%44.3%above
Shot accuracy15.3%9.6%11.8%above
Kill/death ratio0.980.981.030.06 short
Match win rate32.0%43.8%45.2%13.3% short

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGball licklerPREMIER14,796 · Blue bandcsdb.gg/stats

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Performance scores

Aim85
Positioning62
Utility26

0–100 skill scores via Leetify.

Recent form

STEADY39–44–4Last 8745%Win rateWLWWWWLLLL

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · −0.4pp headshot accuracy · +31ms 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 -0.01
  • Avg headshot accuracy 31%
  • Avg reaction 641ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 29%
  • Avg reaction 631ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 30%
  • Avg reaction 615ms

Newest first, from the last 87 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 (+2.1 against its own average).

Aim8.5
Utility2.6
Positioning6.2
Opening Duels3.4

Sharp aimerExcellent counter-strafingStrong 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

ropz

Plays most like ropz 85% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; lower utility contribution.

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

Aim. Aim score of 85 — the mechanical foundation is a clear strength.

Counter-strafing. 90% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 11.2° off target when enemies appear — placement, not flicking, is the bigger win available.

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 55% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 610ms 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

Aim8.5
Positioning6.2
Utility2.6
Mechanics9.0
Opening Duels3.3
Win Impact5.0

Composite 6.0/10 (Solid), 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 -0.00 → last ⅓ avg 0.01
Reaction time604ms−80ms
first ⅓ avg 684ms → last ⅓ avg 604ms
Headshot accuracy29.6%+4.1%
first ⅓ avg 25.6% → last ⅓ avg 29.6%

Rolling 5-match average across the last 87 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.14Best match rating · 13–2 · nuke, 23 Apr →
53%Best headshot accuracy · 4–9 · vertigo, 19 Apr →
422msFastest reaction time · 2–8 · nuke, 30 Apr →
13–2Biggest win · nuke, 23 Apr →

Across the last 87 tracked matches.

Highlights

5Longest win streak
7–10In matches decided by ≤2 rounds
15Overtime games

Map breakdown

nukeBest map · 56% over 9dust2Weakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
mirageC167–944%-0.01
dust2C145–936%0.00
infernoC135–838%0.00
overpassB126–650%0.00
ancientC114–736%0.01
nukeA95–456%-0.00
anubis—43–175%-0.02
train—33–0100%0.05
cache—21–150%-0.00
vertigo—20–20%-0.03
warden—10–10%-0.02

Across the last 87 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

7,421Lifetime kills
0.98K/D
338Matches
32.0%Match win rate
58.3%Headshot % · Top 5% of Blue band
15.3%Shot accuracy · Top 25% of Blue band
674MVPs
90Hours (in match)
95Bombs planted
55Bombs defused

Most-used weapons

Lifetime map wins

323dust2
207inferno
172nuke
94train
52vertigo
16cbble
7assault
4lake

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.

28.5%Headshot accuracy
37.9%Accuracy (enemy spotted)
37.0%Spray accuracy
90.3%Counter-strafing
11.2°Preaim
610msReaction time
31.3%T opening success
55.0%CT opening success
0.61Enemies flashed / flash
5.3%Flash assists
4.18HE damage / grenade
4.67Flashes / 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 31.2533% — below the 40% mark we flag

Spend your practice time on Dust 2

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

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–6-0.0343%18 Jun →
dust26–13-0.0622%15 May →
dust216–140.0436%12 May →
nuke13–11-0.0120%10 May →
overpass13–100.0232%10 May →
mirage16–13-0.0424%9 May →
dust25–13-0.0423%4 May →
mirage11–130.0735%4 May →
warden5–9-0.0243%2 May →
dust28–13-0.0315%2 May →
cache12–12-0.0244%30 Apr →
anubis13–9-0.0022%30 Apr →
overpass8–13-0.1027%30 Apr →
anubis13–30.0230%30 Apr →
nuke2–8-0.1114%30 Apr →
dust29–130.0036%30 Apr →
dust213–16-0.0219%24 Apr →
dust26–10.1336%24 Apr →
overpass9–130.0946%23 Apr →
ancient13–50.1322%23 Apr →
nuke13–20.1438%23 Apr →
dust213–90.0138%22 Apr →
nuke13–110.0626%22 Apr →
overpass11–130.0434%21 Apr →
ancient7–13-0.0724%20 Apr →
dust211–130.0827%20 Apr →
vertigo4–9-0.0353%19 Apr →
ancient15–150.0219%19 Apr →
nuke8–13-0.059%19 Apr →
mirage13–80.0331%19 Apr →
nuke13–7-0.0222%18 Apr →
dust26–10.0313%18 Apr →
anubis12–120.0338%16 Apr →
inferno10–13-0.0724%16 Apr →
mirage13–16-0.0235%15 Apr →
ancient6–13-0.0527%12 Apr →
inferno9–13-0.0525%7 Apr →
anubis13–5-0.1330%4 Apr →
mirage11–13-0.0525%4 Apr →
inferno13–110.0138%24 Mar →
ancient3–13-0.0327%12 Sept →
mirage16–13-0.0425%12 Sept →
nuke14–160.0221%5 Sept →
nuke13–100.0029%5 Sept →
train13–60.0152%5 Sept →
overpass13–80.0733%30 Aug →
overpass13–11-0.0231%30 Aug →
inferno13–60.1329%24 Aug →
mirage11–130.0016%22 Aug →
mirage13–60.0624%22 Aug →
dust214–160.0135%21 Aug →
inferno7–13-0.0328%21 Aug →
inferno11–13-0.0534%21 Aug →
ancient8–130.0032%21 Aug →
ancient13–160.0418%20 Aug →
ancient7–130.0130%20 Aug →
mirage6–13-0.0319%20 Aug →
overpass7–13-0.0527%20 Aug →
mirage16–14-0.0219%20 Aug →
inferno8–130.0128%19 Aug →
ancient13–100.0237%19 Aug →
overpass13–10-0.0221%19 Aug →
mirage11–13-0.0121%19 Aug →
dust27–13-0.0525%19 Aug →
overpass13–40.0811%19 Aug →
mirage7–13-0.0531%19 Aug →
mirage13–8-0.0121%18 Aug →
train13–9-0.0031%18 Aug →
inferno8–130.026%18 Aug →
inferno11–130.0432%10 Aug →
mirage10–130.0131%10 Aug →
inferno13–9-0.0222%9 Aug →
ancient13–90.1027%9 Aug →
overpass13–9-0.0619%9 Aug →
mirage9–13-0.0324%9 Aug →
overpass8–13-0.0526%6 Aug →
ancient16–13-0.0816%6 Aug →
inferno12–12-0.0629%24 Jun →
dust27–13-0.0221%25 Dec →
inferno13–80.0942%29 Sept →
mirage13–11-0.0228%28 Sept →
overpass8–130.0235%27 Sept →
vertigo4–13-0.0223%27 Sept →
nuke13–16-0.0621%9 Sept →
train16–100.1332%1 Sept →
cache16–60.0235%1 Sept →
inferno16–60.0026%18 Mar →

Match data via Leetify.

Recent teammates

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →