MR.LORDI EUROVISION 2006

MR.LORDI EUROVISION 2006 — CS2 Stats

76561198020452944[U:1:60187216]Steam profile ↗✓ No bans

681Tracked matches47%Win rate2020Tracked since
CSDB Rating6.6 SolidSupport
Premier CS Rating23,993Top 25% of 213,211 CSDB-tracked playersPink band · top ~4.1% of ranked players (population est.)
CSDB Leaderboard#32678 of 259962 tracked
FaceitLevel 9 · 2,196 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Nov 2026 (3 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: 23,993 +3,638 27 Apr – 2 Nov · 20 days played
20,35523,993peak 23,99327 Apr2 Nov
23,993Peak Premier in tracked matches
2,196Highest Faceit ELO seen on CSDB
48Days played since 2026-04-26

Faceit ELO

  • At peak — 2,196
  • Next: 2,500 ELO at 2,500 — 304 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-06
  • Level 9 first seen 2026-09-06

Premier CS Rating

  • At peak — 23,993
  • +1,001 over 30 days · improving
  • +553 over 90 days
  • Next: Red band at 25,000 — 1,007 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. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGMR.LORDI EUROVISION 2006FACEITLevel 9 · 2,196 ELOSTANDINGTop 20.7% of rankedPREMIER23,993 · Pink bandPEAK ELO2,196csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim77
Positioning60
Utility66

0–100 skill scores via Leetify.

Recent form

HOT49–48–3Last 10049%Win rateWWWWWLWWLL

Last 10 vs previous 10: +30pp win rate · −0.00 avg rating · +0.8pp headshot accuracy · −52ms reaction

Win rate up 30pp 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 (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 5–0 · 100% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 488ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 544ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 570ms

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 (+1.8 against its own average).

Aim7.7
Utility6.6
Positioning6.0
Opening Duels2.8
Clutch3.6

Strong CT-side opener

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

Twistzz

Plays most like Twistzz 85% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; 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

Reaction time. 561ms 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

Aim7.7
Positioning6.0
Utility6.6
Mechanics7.1
Opening Duels4.9
Win Impact3.9

Composite 6.6/10 (Solid), 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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time565ms+3ms
first ⅓ avg 562ms → last ⅓ avg 565ms
Headshot accuracy14.3%−0.0%
first ⅓ avg 14.3% → last ⅓ avg 14.3%

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

0.11Best match rating · 13–1 · cache, 20 Jul →
31%Best headshot accuracy · 5–13 · dust2, 6 Aug →
375msFastest reaction time · 1–7 · nuke, 20 Aug →
13–1Biggest win · cache, 20 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W5Current streak
7–7In matches decided by ≤2 rounds
6Overtime games

Map breakdown

mirageBest map · 65% over 17infernoWeakest map · 29% over 17
MapGradePlayedRecordWin rateAvg rating
mirageS1711–665%0.01
ancientS1711–665%-0.00
infernoD175–1229%0.01
cacheB158–753%0.02
nukeC125–742%0.01
dust2C114–736%-0.02
anubisC94–544%-0.01
overpass—21–150%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,220Matches
52%Win rate
1.11Avg K/D
82.9ADR
38%Headshot %

Clutches & streaks

38%1v1 clutch win
19%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient4854%1.0215.2
Nuke3853%1.1717.1
Mirage3531%0.9913.8
Anubis3155%1.1515.7
Inferno2157%1.0014.5
Dust21540%1.0017.0
Overpass1164%1.2416.4
Train650%1.2319.0

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.

14.0%Headshot accuracy
39.2%Accuracy (enemy spotted)
40.8%Spray accuracy
82.0%Counter-strafing
10.0°Preaim
561msReaction time
50.3%T opening success
49.0%CT opening success
0.67Enemies flashed / flash
8.4%Flash assists
9.62HE damage / grenade
13.85Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.0287% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Inferno

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 17 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–20.0522%2 Nov →
cache13–8-0.0015%2 Nov →
ancient8–00.0616%2 Nov →
nuke13–3-0.0324%2 Nov →
anubis13–8-0.026%1 Nov →
ancient9–13-0.0012%1 Nov →
cache13–30.0418%28 Oct →
ancient13–9-0.038%28 Oct →
inferno6–130.0520%26 Oct →
nuke2–13-0.0714%25 Oct →
anubis14–160.008%25 Oct →
mirage7–13-0.0515%25 Oct →
cache13–80.0316%24 Oct →
inferno13–70.0526%24 Oct →
dust213–100.0110%24 Oct →
ancient9–130.0314%22 Oct →
cache4–130.0310%22 Oct →
anubis13–9-0.0120%22 Oct →
cache8–13-0.0215%19 Oct →
inferno3–130.0211%18 Oct →
nuke11–130.0412%18 Oct →
mirage13–80.0413%18 Oct →
nuke8–130.0119%17 Oct →
inferno9–130.0417%13 Oct →
nuke13–30.0411%12 Oct →
mirage2–70.049%12 Oct →
mirage14–16-0.004%11 Oct →
ancient13–6-0.0010%11 Oct →
nuke8–130.0220%11 Oct →
anubis3–13-0.0814%11 Oct →
dust213–110.049%10 Oct →
nuke3–13-0.0212%10 Oct →
mirage13–5-0.0022%10 Oct →
inferno12–120.0315%8 Oct →
nuke12–120.0110%8 Oct →
mirage13–90.0714%25 Sept →
dust20–13-0.0516%25 Sept →
inferno8–130.0819%25 Sept →
ancient13–60.0115%23 Sept →
inferno11–130.0527%21 Sept →
anubis8–130.0012%20 Sept →
inferno12–16-0.019%20 Sept →
dust27–13-0.0513%20 Sept →
inferno9–13-0.0623%20 Sept →
cache13–90.0012%19 Sept →
cache7–130.0419%17 Sept →
anubis13–60.0115%16 Sept →
inferno6–13-0.0316%10 Sept →
cache7–13-0.0219%9 Sept →
nuke1–7-0.0410%20 Aug →
ancient13–110.0521%7 Aug →
cache16–130.0312%6 Aug →
dust25–13-0.0431%6 Aug →
ancient13–5-0.0512%6 Aug →
mirage13–30.0322%26 Jul →
inferno1–11-0.0316%22 Jul →
ancient4–13-0.0513%22 Jul →
cache4–13-0.0524%22 Jul →
dust213–6-0.028%22 Jul →
ancient16–14-0.0016%21 Jul →
mirage3–13-0.0815%21 Jul →
cache13–10.1114%20 Jul →
nuke13–50.0115%20 Jul →
dust212–120.0420%20 Jul →
dust24–13-0.0916%19 Jul →
ancient1–13-0.0825%19 Jul →
mirage3–13-0.0024%19 Jul →
anubis5–13-0.068%16 Jul →
cache4–00.000%16 Jul →
inferno0–13-0.040%16 Jul →
dust213–100.0116%14 Jul →
mirage11–5-0.0225%14 Jul →
mirage11–130.0116%12 Jul →
ancient13–90.0416%10 Jul →
ancient13–60.0110%10 Jul →
mirage13–90.0113%10 Jul →
inferno13–8-0.0211%9 Jul →
cache13–30.0714%9 Jul →
dust29–13-0.0131%9 Jul →
mirage13–4-0.0520%9 Jul →
dust211–13-0.0218%28 May →
inferno13–9-0.0312%28 May →
ancient13–110.0112%19 May →
nuke13–100.0316%18 May →
mirage13–90.0520%18 May →
anubis7–13-0.0410%17 May →
overpass8–13-0.0026%17 May →
ancient2–13-0.0210%17 May →
overpass13–60.0511%12 May →
inferno13–100.0617%12 May →
cache10–130.0213%7 May →
cache10–130.0413%7 May →
anubis13–100.0918%6 May →
mirage13–80.1014%2 May →
inferno13–110.0416%2 May →
mirage13–110.0616%29 Apr →
ancient2–00.000%29 Apr →
ancient11–130.0216%27 Apr →
nuke16–130.0711%27 Apr →
inferno2–13-0.0425%26 Apr →

Match data via Leetify.

Recent teammates

Milestones

2K ELO500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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