Marcel@Kartoffelbeere

Marcel@Kartoffelbeere — CS2 Stats

DE76561198049628965[U:1:89363237]Steam profile ↗✓ No bans

855Tracked matches46%Win rate2020Tracked since
2,706Hours in CS4Hrs last 2 wks
CSDB Rating5.6 SolidPositional Player
Premier CS Rating19,315Top 50% of 211,494 CSDB-tracked playersPurple band · top ~11.2% of ranked players (population est.)
CSDB Leaderboard#94965 of 258683 tracked
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Aug 2026 (68 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: 19,315 -756 22 Aug – 23 Aug · 2 days played
19,31520,071peak 20,07122 Aug23 Aug
20,730Peak Premier in tracked matches
36Days played since 2026-02-10

Premier CS Rating

  • 756 below peak (20,071)
  • Next: Pink band at 20,000 — 685 to go
  • Reached: Pink band · 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 rate38.0%44.4%46.9%8.9% short
Shot accuracy13.6%11.9%13.0%above
Kill/death ratio1.011.031.080.07 short
Match win rate40.4%45.2%46.7%6.3% short

This profile matches the typical Pink band player on 1 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.GGMarcel@KartoffelbeerePREMIER19,315 · Purple bandcsdb.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

Aim83
Positioning51
Utility44

0–100 skill scores via Leetify.

Recent form

COLD41–43–16Last 10041%Win rateLLLLLTWTLT

Last 10 vs previous 10: −40pp win rate · −0.01 avg rating · −2.1pp headshot accuracy · −53ms 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

  • 0–5 · 0% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 520ms

Last 10

  • 1–6–3 · 10% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 495ms

Last 20

  • 6–9–5 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 20%
  • Avg reaction 521ms

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 (+0.9 against its own average).

Aim8.3
Utility4.4
Positioning5.1
Opening Duels3.1

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

sh1ro

Plays most like sh1ro 96% playstyle similarity

Most alike: utility contribution, 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

Positioning. Positioning trails aim by 31 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.

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

Aim8.3
Positioning5.1
Utility4.4
Mechanics5.8
Opening Duels1.9
Win Impact3.8

Composite 5.6/10 (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+0.03
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time520ms−18ms
first ⅓ avg 538ms → last ⅓ avg 520ms
Headshot accuracy21.0%+5.7%
first ⅓ avg 15.3% → last ⅓ avg 21.0%

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

0.35Best match rating · 9–0 · inferno, 2 Sept →
56%Best headshot accuracy · 13–5 · dust2, 10 Aug →
359msFastest reaction time · 9–2 · inferno, 30 Aug →
9–0Biggest win · inferno, 2 Sept →

Across the last 100 tracked matches.

Highlights

3Longest win streak
L5Current streak
7–4In matches decided by ≤2 rounds
4Overtime games

Map breakdown

mirageBest map · 46% over 13dust2Weakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
infernoB3114–1745%0.02
nukeC2912–1741%-0.03
mirageB136–746%-0.00
vertigoD93–633%-0.06
dust2D82–625%-0.03
cache—42–250%0.01
office—21–150%0.01
train—20–20%0.03
overpass—10–10%-0.05
ancient—11–0100%-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

66,963Lifetime kills
1.01K/D
3,848Matches
40.4%Match win rate
38.0%Headshot %
13.6%Shot accuracy · Top 50% of Purple band
8,070MVPs
1,432Hours (in match)
4,095Bombs planted
625Bombs defused

Most-used weapons

AWP13,437
AK-4710,224
P904,100
Knife2,447
SSG 081,706

Lifetime map wins

6,216inferno
5,836dust2
2,045nuke
1,655cbble
1,104vertigo
674train
491office
315lake

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

Faceit stats

Combat

2Matches
0%Win rate
0.53Avg K/D
—ADR
40%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

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.

22.9%Headshot accuracy
34.6%Accuracy (enemy spotted)
38.6%Spray accuracy
76.0%Counter-strafing
7.8°Preaim
533msReaction time
33.5%T opening success
41.9%CT opening success
0.59Enemies flashed / flash
8.0%Flash assists
9.45HE damage / grenade
4.61Flashes / 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 33.5138% — 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.

25% win rate across 8 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
nuke5–13-0.0822%18 Oct →
overpass0–11-0.050%18 Oct →
cache6–13-0.0415%18 Oct →
inferno9–13-0.0617%18 Oct →
dust23–130.0221%18 Oct →
inferno8–8-0.0129%3 Sept →
inferno9–10.1730%3 Sept →
nuke8–80.0417%2 Sept →
inferno7–90.0218%2 Sept →
inferno8–8-0.1024%2 Sept →
inferno9–3-0.1136%2 Sept →
inferno9–00.3526%2 Sept →
inferno5–9-0.059%2 Sept →
nuke6–9-0.1943%2 Sept →
nuke4–9-0.0642%1 Sept →
nuke9–5-0.127%1 Sept →
inferno9–30.0617%1 Sept →
inferno8–80.0218%1 Sept →
nuke8–8-0.0311%31 Aug →
inferno9–40.137%31 Aug →
inferno9–7-0.0626%31 Aug →
inferno4–9-0.1221%31 Aug →
inferno9–20.1929%30 Aug →
inferno4–9-0.1217%30 Aug →
inferno9–60.039%28 Aug →
cache13–16-0.0029%23 Aug →
office12–12-0.0227%23 Aug →
inferno9–50.1322%23 Aug →
mirage5–130.0323%23 Aug →
dust23–13-0.0920%23 Aug →
dust27–13-0.0715%22 Aug →
mirage5–13-0.0623%22 Aug →
mirage13–7-0.0128%22 Aug →
mirage10–13-0.0618%22 Aug →
nuke16–14-0.0523%22 Aug →
cache13–7-0.0331%22 Aug →
mirage15–150.0427%22 Aug →
mirage13–8-0.0131%22 Aug →
inferno6–90.0517%22 Aug →
inferno9–50.0720%22 Aug →
inferno8–80.1440%16 Aug →
inferno9–50.0022%16 Aug →
mirage7–13-0.0325%16 Aug →
nuke13–10-0.080%16 Aug →
mirage7–13-0.0123%10 Aug →
dust213–50.0356%10 Aug →
inferno13–70.0223%10 Aug →
nuke6–90.0337%10 Aug →
nuke5–9-0.139%10 Aug →
inferno6–9-0.0825%9 Aug →
nuke9–70.0315%7 Aug →
mirage16–120.1023%6 Aug →
cache13–90.1319%6 Aug →
inferno8–8-0.0236%6 Aug →
inferno6–9-0.0025%6 Aug →
inferno8–8-0.0623%3 Aug →
mirage13–100.1240%1 Aug →
inferno9–60.0019%1 Aug →
nuke9–70.0623%1 Aug →
inferno8–80.0142%31 Jul →
inferno9–10.0220%31 Jul →
inferno4–90.1616%28 Jul →
vertigo9–00.077%4 Jul →
nuke8–8-0.0713%4 Jul →
nuke7–90.1027%2 Jun →
vertigo4–9-0.1116%2 May →
nuke9–70.0324%2 May →
vertigo0–6-0.370%1 May →
nuke9–50.0216%1 May →
train9–130.1129%26 Apr →
inferno9–13-0.0516%26 Apr →
ancient13–9-0.0430%26 Apr →
dust213–11-0.039%26 Apr →
nuke8–8-0.0233%26 Apr →
nuke8–8-0.069%25 Apr →
nuke9–6-0.0211%25 Apr →
vertigo3–9-0.0813%25 Apr →
vertigo2–9-0.150%24 Apr →
nuke13–6-0.0116%24 Apr →
mirage5–13-0.0825%24 Apr →
nuke0–9-0.140%24 Apr →
mirage13–4-0.0515%23 Apr →
dust212–120.0513%23 Apr →
train10–13-0.0513%22 Apr →
office13–90.0314%22 Apr →
mirage13–110.0111%22 Apr →
nuke8–13-0.0515%22 Apr →
vertigo5–9-0.0916%22 Apr →
nuke9–10.0617%22 Apr →
nuke9–20.0527%22 Apr →
vertigo9–60.0423%19 Apr →
nuke4–9-0.056%4 Apr →
nuke9–50.0918%3 Apr →
vertigo8–80.078%21 Mar →
nuke7–9-0.0714%21 Feb →
dust29–13-0.0826%14 Feb →
vertigo9–40.0517%13 Feb →
dust25–13-0.0510%13 Feb →
nuke7–9-0.0416%11 Feb →
nuke6–9-0.0920%10 Feb →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.