luddemannen

luddemannen — CS2 Stats

SE76561198403676561[U:1:443410833]Steam profile ↗✓ No bans

159Tracked matches43%Win rate2023Tracked since
CSDB Rating5.7 SolidPositional Player
Premier CS Rating14,886Blue band · top ~29% of ranked players (population est.)
FaceitLevel 4 · 988 ELOTop 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Oct 2026 (30 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: 14,886 +1,650 6 Mar – 16 Oct · 10 days played
13,23615,537peak 15,5376 Mar16 Oct
15,751Peak Premier in tracked matches
988Highest Faceit ELO seen on CSDB
49Days played since 2025-03-06

Faceit ELO

  • At peak — 988
  • Next: Level 5 at 1,051 — 63 to go
  • Reached: Level 4 · Level 3 · Level 2

Premier CS Rating

  • 651 below peak (15,537)
  • -113 over 30 days · steady
  • Next: Purple band at 15,000 — 114 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.

Share this profile

CSDB.GGluddemannenFACEITLevel 4 · 988 ELOSTANDINGTop 81.0% of rankedPREMIER14,886 · Blue bandPEAK ELO988csdb.gg/stats

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Performance scores

Aim87
Positioning53
Utility36

0–100 skill scores via Leetify.

Recent form

COLD45–53–2Last 10045%Win rateLWLLLLLLWL

Last 10 vs previous 10: −40pp win rate · −0.01 avg rating · −3.1pp headshot accuracy · −52ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 27%
  • Avg reaction 571ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 28%
  • Avg reaction 621ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 30%
  • Avg reaction 647ms

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 against its own average).

Aim8.7
Utility3.6
Positioning5.3
Opening Duels2.3
Clutch2.2

Sharp aimerStrong 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

sh1ro

Plays most like sh1ro 84% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: 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 87 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

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

Reaction time. 638ms 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

Aim8.7
Positioning5.3
Utility3.6
Mechanics8.1
Opening Duels2.8
Win Impact2.8

Composite 5.7/10 (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 rating0.03+0.03
first ⅓ avg -0.00 → last ⅓ avg 0.03
Reaction time637ms−39ms
first ⅓ avg 676ms → last ⅓ avg 637ms
Headshot accuracy29.2%+11.8%
first ⅓ avg 17.4% → last ⅓ avg 29.2%

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

0.16Best match rating · 13–4 · ancient, 6 Feb →
50%Best headshot accuracy · 13–6 · dust2, 19 Sept →
453msFastest reaction time · 13–5 · ancient, 16 Aug →
13–1Biggest win · cache, 21 Aug →

Across the last 100 tracked matches.

Highlights

3Longest win streak
5–9In matches decided by ≤2 rounds
6Overtime games

Map breakdown

anubisBest map · 60% over 5cacheWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B2613–1350%0.01
mirageC219–1243%0.01
nukeC146–843%0.02
ancientA116–555%0.04
infernoD82–625%0.00
cacheD61–517%0.03
anubisA53–260%0.01
vertigo—32–167%-0.00
office—21–150%0.05
train—21–150%-0.02
overpass—10–10%-0.20
warden—11–0100%0.00

Across the last 100 tracked matches.

Faceit stats

Combat

99Matches
51%Win rate
0.92Avg K/D
69.9ADR
46%Headshot %

Clutches & streaks

31%1v1 clutch win
18%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage4551%0.8813.1
Dust22045%0.9212.8
Nuke1155%0.9414.7
Anubis956%1.1018.7
Ancient729%0.9315.1
Inferno3100%1.2616.3
Overpass2100%0.9714.5
Train10%0.000.0

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.

28.6%Headshot accuracy
37.1%Accuracy (enemy spotted)
37.2%Spray accuracy
86.6%Counter-strafing
8.2°Preaim
638msReaction time
34.0%T opening success
48.7%CT opening success
0.67Enemies flashed / flash
11.1%Flash assists
9.28HE damage / grenade
2.48Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.481 — below the 4 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 34.0476% — below the 40% mark we flag

Spend your practice time on Cache

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
anubis8–130.0216%31 Oct →
mirage13–60.0533%16 Oct →
cache6–130.0239%16 Oct →
cache5–130.0232%16 Oct →
mirage11–130.0516%10 Oct →
inferno9–130.0738%10 Oct →
nuke10–13-0.0238%3 Oct →
inferno10–13-0.0131%20 Sept →
mirage13–9-0.0016%20 Sept →
nuke8–13-0.0124%20 Sept →
dust213–40.0518%20 Sept →
mirage16–120.0633%20 Sept →
ancient16–140.0930%19 Sept →
ancient6–13-0.0330%19 Sept →
dust213–60.0950%19 Sept →
dust213–40.0140%19 Sept →
dust26–13-0.0623%19 Sept →
ancient13–6-0.0025%13 Sept →
ancient10–130.0523%13 Sept →
nuke3–130.0544%13 Sept →
mirage4–130.0329%13 Sept →
inferno13–7-0.0621%13 Sept →
nuke9–10.0245%13 Sept →
dust211–130.0421%13 Sept →
dust213–110.1037%13 Sept →
anubis16–140.0117%12 Sept →
mirage7–13-0.0321%12 Sept →
inferno13–100.0230%12 Sept →
dust29–13-0.0125%12 Sept →
mirage8–130.0932%5 Sept →
anubis13–70.0635%5 Sept →
ancient14–160.0528%5 Sept →
ancient12–10.0225%5 Sept →
dust213–6-0.0126%5 Sept →
nuke5–130.0330%4 Sept →
dust24–13-0.0533%4 Sept →
mirage13–80.1533%4 Sept →
dust28–130.0528%4 Sept →
dust213–100.0124%4 Sept →
mirage9–13-0.0316%29 Aug →
dust27–13-0.0127%29 Aug →
nuke6–130.0123%29 Aug →
cache4–130.0522%29 Aug →
dust211–13-0.0025%29 Aug →
dust23–13-0.0530%29 Aug →
nuke7–130.0119%29 Aug →
nuke13–100.0113%23 Aug →
ancient13–4-0.0512%23 Aug →
inferno10–13-0.0515%23 Aug →
dust213–9-0.0319%22 Aug →
dust29–130.0116%22 Aug →
dust213–30.1433%22 Aug →
mirage11–13-0.0232%21 Aug →
cache9–13-0.0226%21 Aug →
cache13–10.0221%21 Aug →
ancient1–130.0332%21 Aug →
dust211–13-0.0413%16 Aug →
ancient13–50.0416%16 Aug →
dust213–70.0127%16 Aug →
mirage2–13-0.0631%14 Aug →
nuke13–100.0919%2 Aug →
dust216–130.0518%2 Aug →
nuke13–20.0915%7 May →
cache12–120.0620%29 Apr →
office7–130.0121%20 Apr →
anubis13–90.0520%18 Apr →
office13–90.1021%5 Apr →
overpass2–9-0.2019%4 Apr →
mirage13–90.059%2 Apr →
ancient7–130.0623%28 Mar →
nuke13–4-0.0424%19 Mar →
inferno4–13-0.0420%14 Mar →
dust213–60.0822%10 Mar →
vertigo13–30.0523%20 Feb →
dust211–13-0.067%6 Feb →
ancient13–40.1617%6 Feb →
dust28–00.0833%6 Feb →
dust215–15-0.0315%6 Feb →
mirage10–13-0.076%5 Feb →
mirage9–13-0.0214%1 Feb →
inferno9–13-0.0229%1 Feb →
train13–40.0719%30 Jan →
vertigo13–8-0.0513%27 Jan →
mirage10–13-0.0620%24 Jan →
warden13–110.0011%22 Jan →
mirage13–100.0314%16 Jan →
inferno2–80.0814%16 Jan →
mirage13–40.0332%6 Jan →
vertigo10–13-0.0111%5 Jan →
mirage10–13-0.0320%30 Dec →
mirage13–10.1013%12 Dec →
nuke5–13-0.0414%4 Dec →
mirage13–6-0.0610%30 Nov →
mirage11–13-0.0010%24 Nov →
nuke13–20.1123%22 Nov →
dust211–13-0.0020%22 Nov →
train1–4-0.1025%17 Nov →
anubis8–13-0.0925%7 Apr →
dust213–11-0.0412%11 Mar →
nuke6–13-0.108%6 Mar →

Match data via Leetify.

Recent teammates

Milestones

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

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