lollka

lollka — CS2 Stats

76561198031915920[U:1:71650192]Steam profile ↗✓ No bans

644Tracked matches69%Win rate2021Tracked since
1,932Hours in CS
CSDB Rating5.7 SolidSupport
Premier CS Rating18,247Purple band · top ~15.5% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Oct 2026 (26 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.

Rating over time

Premier CS Rating: 18,247 +6,766 4 Apr – 1 Oct · 22 days played
11,48118,508peak 18,5084 Apr1 Oct
18,898Peak Premier in tracked matches
42Days played since 2026-04-01

Premier CS Rating

  • 261 below peak (18,508)
  • +1,213 over 30 days · improving
  • Next: Pink band at 20,000 — 1,753 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 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 rate38.8%44.4%46.9%8.2% short
Shot accuracy16.2%11.9%13.0%above
Kill/death ratio1.061.031.08meets
Match win rate44.5%45.2%46.7%2.2% short

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

Widest gap: Headshot rate. 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.GGlollkaPREMIER18,247 · Purple bandcsdb.gg/stats

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Performance scores

Aim69
Positioning39
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY61–34–5Last 10061%Win rateWLWLLWWLWW

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · −5.4pp headshot accuracy · 0ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 630ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 610ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 610ms

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: Support — Utility contribution stands above the rest of this profile (+2 against its own average).

Aim6.9
Utility4.8
Positioning3.9
Opening Duels1.8
Clutch0.6

Limited 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

NiKo

Plays most like NiKo 93% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower opening-duel success; lower positioning 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

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

Reaction time. 599ms 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

Aim6.9
Positioning3.9
Utility4.8
Mechanics6.6
Opening Duels1.0
Win Impact10.0

Composite 5.7/10 (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 rating-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time602ms−66ms
first ⅓ avg 668ms → last ⅓ avg 602ms
Headshot accuracy15.7%+0.8%
first ⅓ avg 14.9% → last ⅓ avg 15.7%

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

0.14Best match rating · 13–1 · cache, 2 May →
40%Best headshot accuracy · 3–3 · cache, 22 Jul →
430msFastest reaction time · 13–6 · dust2, 12 Aug →
13–0Biggest win · cache, 10 Aug →

Across the last 100 tracked matches.

Highlights

9Longest win streak
14–8In matches decided by ≤2 rounds
5Overtime games

Map breakdown

ancientBest map · 83% over 6anubisWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
cacheS2920–969%0.01
mirageS2215–768%-0.02
dust2B1910–953%-0.02
nukeB115–645%-0.05
anubisC83–538%-0.02
ancientS65–183%0.01
vertigo—22–0100%0.00
inferno—11–0100%-0.03
overpass—10–10%-0.04
stronghold—10–10%-0.06

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

75,424Lifetime kills
1.06K/D · Top 50% of Purple band
5,022Matches
44.5%Match win rate
38.8%Headshot %
16.2%Shot accuracy · Top 25% of Purple band
9,772MVPs
1,932Hours (in match)
3,068Bombs planted
493Bombs defused

Most-used weapons

AK-4717,839
AWP9,814
SCAR-202,949
P902,417
Negev2,039
SSG 081,680

Lifetime map wins

3,667dust2
2,556inferno
2,443nuke
1,700cbble
668vertigo
500train
408office
232lake

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

Faceit stats

Combat

87Matches
52%Win rate
0.96Avg K/D
77.8ADR
41%Headshot %

Clutches & streaks

23%1v1 clutch win
28%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1275%0.9513.6
Nuke425%1.1017.3
Ancient4100%0.8813.5
Cache367%2.1613.0
Dust23100%0.9814.7
Inferno250%0.8619.0
Anubis250%1.2619.0
Overpass10%0.7814.0

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.

15.9%Headshot accuracy
35.5%Accuracy (enemy spotted)
36.8%Spray accuracy
79.6%Counter-strafing
8.9°Preaim
599msReaction time
34.6%T opening success
33.8%CT opening success
0.57Enemies flashed / flash
4.1%Flash assists
6.09HE damage / grenade
4.77Flashes / 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 34.5682% — below the 40% mark we flag

Spend your practice time on Anubis

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–11-0.0331%1 Oct →
cache7–13-0.0211%1 Oct →
anubis13–40.086%1 Oct →
dust211–13-0.0212%1 Oct →
dust23–13-0.120%22 Sept →
cache13–11-0.0319%22 Sept →
nuke13–10.007%22 Sept →
nuke4–9-0.1422%22 Sept →
cache13–60.0522%12 Sept →
cache13–110.0315%11 Sept →
mirage13–11-0.0110%6 Sept →
inferno13–11-0.0315%6 Sept →
mirage13–10-0.0620%3 Sept →
cache13–40.0727%3 Sept →
mirage7–130.0112%3 Sept →
mirage13–9-0.0315%2 Sept →
cache13–60.0429%21 Aug →
cache13–60.0524%21 Aug →
dust210–13-0.0419%20 Aug →
cache10–13-0.0228%16 Aug →
mirage11–13-0.0314%16 Aug →
mirage13–10-0.0521%16 Aug →
dust213–110.0319%16 Aug →
dust213–60.068%12 Aug →
mirage13–10-0.059%12 Aug →
dust21–8-0.1322%11 Aug →
nuke13–50.0011%11 Aug →
dust213–40.0914%11 Aug →
anubis10–13-0.055%11 Aug →
cache13–00.029%10 Aug →
dust215–15-0.0217%10 Aug →
cache13–10-0.0314%10 Aug →
ancient13–80.0413%10 Aug →
dust22–60.0133%10 Aug →
mirage13–6-0.0213%10 Aug →
ancient16–120.0015%9 Aug →
dust216–13-0.0017%9 Aug →
ancient11–13-0.0324%2 Aug →
mirage13–50.0514%2 Aug →
dust26–13-0.0916%2 Aug →
mirage13–100.0412%2 Aug →
mirage7–130.0029%25 Jul →
nuke14–160.0118%22 Jul →
mirage6–13-0.0520%22 Jul →
cache3–30.0340%22 Jul →
cache12–12-0.0411%21 Jul →
nuke10–130.0313%12 Jul →
ancient13–80.0514%12 Jul →
dust215–15-0.0316%5 Jul →
cache9–13-0.0912%3 Jul →
cache12–12-0.0217%3 Jul →
dust213–10-0.0015%14 Jun →
nuke13–100.0924%14 Jun →
mirage13–11-0.0216%14 Jun →
cache6–13-0.0421%14 Jun →
cache13–90.0110%14 Jun →
cache13–20.0839%14 Jun →
vertigo13–11-0.0112%6 Jun →
vertigo13–100.0113%6 Jun →
nuke0–9-0.280%6 Jun →
nuke0–9-0.110%2 Jun →
anubis13–60.0216%2 Jun →
anubis0–5-0.068%2 Jun →
anubis8–13-0.0514%2 Jun →
anubis3–13-0.1011%2 Jun →
cache10–6-0.025%1 Jun →
mirage5–13-0.0713%1 Jun →
cache13–8-0.036%23 May →
nuke6–9-0.177%22 May →
dust211–13-0.0415%22 May →
anubis5–13-0.0119%22 May →
cache7–13-0.069%21 May →
cache13–10.0411%16 May →
cache13–1-0.0624%16 May →
cache10–10.0633%16 May →
cache13–20.0113%16 May →
dust213–3-0.018%8 May →
mirage13–80.0125%8 May →
mirage13–20.0210%4 May →
ancient13–7-0.037%4 May →
dust213–4-0.0516%4 May →
mirage11–13-0.057%2 May →
cache13–10.1413%2 May →
cache2–13-0.1012%1 May →
cache13–80.0220%1 May →
cache11–13-0.0115%1 May →
cache13–20.0912%1 May →
dust213–10-0.029%22 Apr →
mirage11–13-0.0421%20 Apr →
mirage13–7-0.0316%20 Apr →
dust213–9-0.0122%16 Apr →
mirage13–9-0.055%16 Apr →
overpass6–13-0.0424%13 Apr →
mirage13–7-0.0116%12 Apr →
ancient13–110.0613%8 Apr →
anubis13–11-0.0111%8 Apr →
nuke13–11-0.0312%8 Apr →
mirage13–110.0513%6 Apr →
nuke13–110.0234%4 Apr →
stronghold12–12-0.0617%1 Apr →

Match data via Leetify.

Recent teammates

Milestones

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

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