The Lollander

The Lollander — CS2 Stats

76561197997871184[U:1:37605456]Steam profile ↗✓ No bans

622Tracked matches31%Win rate2020Tracked since
1,394Hours in CS
CSDB Rating4.2 DevelopingPositional Player
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Aug 2026 (59 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 622 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 16,666 +4,876 8 Aug – 14 Jul · 35 days played
8,95816,666peak 16,6668 Aug14 Jul
16,666Peak Premier in tracked matches
46Days played since 2025-08-08

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 Level 4 among CSDB-tracked players (n=14,630), 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 playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate37.2%42.7%43.8%6.6% short
Shot accuracy15.8%11.2%12.0%above
Kill/death ratio1.140.991.02above
Match win rate45.3%43.9%44.7%meets

This profile matches the typical Level 5 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGThe LollanderFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim56
Positioning57
Utility16

0–100 skill scores via Leetify.

Recent form

HOT37–56–7Last 10037%Win rateLWWWWLWLWW

Last 10 vs previous 10: +60pp win rate · −0.01 avg rating · −2.3pp headshot accuracy · +46ms reaction

Win rate up 60pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 642ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 660ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 637ms

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: Positional Player — Positioning stands above the rest of this profile (+2.1 against its own average).

Aim5.6
Utility1.6
Positioning5.7
Opening Duels3.6
Clutch3.6

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

s1mple

Plays most like s1mple 79% playstyle similarity

Most alike: positioning profile, aim profile.

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

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 646ms 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
Positioning5.7
Utility1.6
Mechanics5.4
Opening Duels3.2
Win Impact0.0

Composite 4.2/10 (Developing), 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 rating0.00−0.04
first ⅓ avg 0.04 → last ⅓ avg 0.00
Reaction time642ms+25ms
first ⅓ avg 617ms → last ⅓ avg 642ms
Headshot accuracy17.8%+0.9%
first ⅓ avg 16.9% → last ⅓ avg 17.8%

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

0.21Best match rating · 13–5 · nuke, 9 Aug →
32%Best headshot accuracy · 13–5 · inferno, 25 Feb →
453msFastest reaction time · 10–13 · inferno, 22 Aug →
13–1Biggest win · nuke, 13 Feb →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–5In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 53% over 30overpassWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
nukeB3016–1453%0.02
infernoD216–1529%0.01
anubisC145–936%0.03
ancientD133–1023%0.03
overpassD102–820%0.02
mirageD51–420%0.00
cache—31–233%0.00
train—22–0100%0.07
dust2—21–150%0.03

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

67,923Lifetime kills
1.14K/D · Top 25% of Level 4 players
3,406Matches
45.3%Match win rate · Top 50% of Level 4 players
37.2%Headshot %
15.8%Shot accuracy · Top 25% of Level 4 players
9,755MVPs
1,394Hours (in match)
3,395Bombs planted
941Bombs defused

Most-used weapons

AK-4716,321
AWP12,155
MAC-102,226
MP91,715
Tec-91,139

Lifetime map wins

6,934inferno
5,249nuke
4,373dust2
3,668vertigo
777train
379cbble
297office
112lake

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

Faceit stats

Combat

91Matches
49%Win rate
1.36Avg K/D
87.4ADR
41%Headshot %

Clutches & streaks

38%1v1 clutch win
42%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Vertigo1747%1.2719.9
Anubis1656%1.7122.3
Nuke1258%1.5220.4
Ancient1050%1.2917.3
Inferno956%1.4222.6
Mirage944%1.5817.1
Dust2425%0.9616.3
Train1100%1.5614.0

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.

18.1%Headshot accuracy
33.2%Accuracy (enemy spotted)
37.5%Spray accuracy
74.2%Counter-strafing
10.5°Preaim
646msReaction time
38.2%T opening success
47.7%CT opening success
0.27Enemies flashed / flash
3.1%Flash assists
6.09HE damage / grenade
0.97Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.2702 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 38.1523% — below the 40% mark we flag

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.

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno10–13-0.0711%22 Aug →
nuke13–9-0.0215%14 Jul →
ancient13–90.0419%14 Jul →
nuke13–100.0027%14 Jul →
anubis13–110.0127%14 Jul →
cache9–13-0.0319%14 Jul →
nuke13–11-0.0120%13 Jul →
nuke6–130.0111%13 Jul →
cache13–110.0113%12 Jul →
anubis13–50.0210%12 Jul →
nuke6–13-0.0421%12 Jul →
cache14–160.0213%9 Jul →
inferno3–13-0.0617%21 May →
nuke13–100.0926%21 May →
anubis3–13-0.0416%21 May →
anubis5–13-0.0128%20 May →
inferno8–13-0.0118%8 May →
overpass4–130.0619%1 May →
ancient8–13-0.0121%28 Apr →
anubis5–130.0517%28 Apr →
anubis9–130.0413%26 Apr →
nuke15–150.0414%25 Apr →
mirage4–13-0.0329%25 Apr →
nuke5–13-0.0521%24 Apr →
nuke13–60.0118%24 Apr →
inferno13–16-0.0320%18 Apr →
anubis10–13-0.0120%18 Apr →
inferno5–130.018%12 Apr →
anubis7–13-0.0621%12 Apr →
ancient6–13-0.0214%12 Apr →
nuke10–130.0010%9 Apr →
overpass10–130.1115%9 Apr →
nuke13–11-0.0218%2 Apr →
nuke11–130.0129%30 Mar →
ancient11–130.1221%30 Mar →
mirage5–130.0720%30 Mar →
anubis9–13-0.0020%30 Mar →
mirage9–13-0.0220%28 Mar →
nuke7–13-0.0615%28 Mar →
nuke13–60.1722%28 Mar →
anubis7–130.1123%27 Mar →
nuke16–120.0226%27 Mar →
anubis15–150.0622%27 Mar →
inferno15–150.0016%27 Mar →
ancient9–130.0016%22 Mar →
inferno13–40.1722%22 Mar →
nuke12–12-0.0213%27 Feb →
overpass10–13-0.0512%27 Feb →
nuke1–13-0.0532%25 Feb →
inferno13–50.1032%25 Feb →
nuke13–7-0.0217%14 Feb →
nuke13–10.0428%13 Feb →
mirage4–13-0.0814%13 Feb →
overpass11–13-0.0615%13 Feb →
inferno1–13-0.1122%13 Feb →
anubis13–20.1719%12 Feb →
anubis16–120.029%11 Feb →
inferno11–130.0017%6 Feb →
nuke5–13-0.0421%6 Feb →
nuke13–100.0321%4 Feb →
nuke13–10.0412%4 Feb →
ancient13–90.0823%4 Feb →
anubis13–60.0513%25 Jan →
ancient8–13-0.0225%25 Jan →
ancient6–13-0.056%12 Jan →
train16–120.0819%12 Jan →
inferno4–13-0.0020%12 Jan →
overpass7–13-0.0814%11 Jan →
ancient13–40.1014%10 Jan →
ancient9–13-0.008%30 Dec →
ancient6–13-0.0121%30 Dec →
inferno6–13-0.0917%30 Dec →
nuke13–90.1419%30 Dec →
inferno15–150.0221%20 Dec →
dust213–100.0728%15 Dec →
train13–110.0721%15 Dec →
ancient5–130.0610%15 Dec →
nuke13–90.0622%15 Dec →
dust25–130.0016%12 Dec →
inferno13–7-0.0115%7 Dec →
overpass9–130.0022%19 Nov →
overpass5–130.0217%19 Nov →
nuke13–60.0928%19 Nov →
inferno7–130.0119%18 Nov →
mirage13–60.0716%17 Nov →
inferno13–60.1119%17 Nov →
nuke15–150.0116%16 Nov →
nuke5–130.0420%16 Nov →
nuke10–13-0.0114%16 Nov →
inferno13–160.0113%19 Aug →
inferno8–130.0215%19 Aug →
nuke9–130.0215%12 Aug →
inferno15–150.0911%12 Aug →
overpass13–50.1313%12 Aug →
overpass13–10.1410%12 Aug →
overpass4–13-0.0313%9 Aug →
ancient9–130.0713%9 Aug →
nuke13–50.2126%9 Aug →
inferno13–110.0511%9 Aug →
inferno13–60.0323%8 Aug →

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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