Dalbmeister aka holdkaptajnen

Dalbmeister aka holdkaptajnen — CS2 Stats

76561197974722085[U:1:14456357]Steam profile ↗VAC banned

252Tracked matches24%Win rate2023Tracked since
643Hours in CS
CSDB Rating2.0 LearningPositional Player
Premier CS Rating8,492Light Blue band · top ~62.1% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Jan 2026 (294 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: 8,492 -1,028 20 Jun – 6 Jan · 35 days played
8,49214,835peak 14,83520 Jun6 Jan
14,835Peak Premier in tracked matches
43Days played since 2025-06-20

Premier CS Rating

  • 6,343 below peak (14,835)
  • -1,868 over 30 days · declining
  • -4,491 over 90 days
  • Next: Blue band at 10,000 — 1,508 to go
  • Reached: 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 Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate33.5%39.9%42.0%8.5% short
Shot accuracy15.3%7.0%9.6%above
Kill/death ratio0.840.920.980.14 short
Match win rate39.1%42.3%43.8%4.7% short

This profile matches the typical Blue band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GGDalbmeister aka holdkapta…PREMIER8,492 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim20
Positioning27
Utility20

0–100 skill scores via Leetify.

Recent form

COLD33–62–5Last 10033%Win rateLLLLLWLLWL

Last 10 vs previous 10: −10pp win rate · +0.04 avg rating · −0.8pp headshot accuracy · +69ms 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

  • 0–5 · 0% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 13%
  • Avg reaction 767ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 10%
  • Avg reaction 769ms

Last 20

  • 5–15 · 25% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 10%
  • Avg reaction 734ms

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 (+1.1 against its own average).

Aim2.0
Utility2.0
Positioning2.7
Opening Duels0.0

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

Twistzz

Plays most like Twistzz 78% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Reaction time. 723ms 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

Aim2.0
Positioning2.7
Utility2.0
Mechanics5.4
Opening Duels0.0
Win Impact0.0

Composite 2.0/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.06−0.01
first ⅓ avg -0.05 → last ⅓ avg -0.06
Reaction time719ms+25ms
first ⅓ avg 695ms → last ⅓ avg 719ms
Headshot accuracy10.7%+1.0%
first ⅓ avg 9.8% → last ⅓ avg 10.7%

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

0.12Best match rating · 9–1 · rooftop, 8 Dec →
24%Best headshot accuracy · 5–9 · vertigo, 7 Dec →
469msFastest reaction time · 13–4 · inferno, 9 Aug →
13–4Biggest win · inferno, 23 Nov →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L5Current streak
7–6In matches decided by ≤2 rounds
14Overtime games

Map breakdown

infernoBest map · 44% over 25ancientWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
infernoC2511–1444%-0.06
nukeC219–1243%-0.07
mirageD186–1233%-0.05
overpassD143–1121%-0.04
ancientD81–713%-0.05
trainD82–625%-0.05
rooftop—21–150%-0.00
anubis—20–20%-0.07
vertigo—10–10%-0.24
dust2—10–10%-0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

22,105Lifetime kills
0.84K/D
1,479Matches
39.1%Match win rate
33.5%Headshot %
15.3%Shot accuracy · Top 25% of Light Blue band
2,307MVPs
643Hours (in match)
1,629Bombs planted
285Bombs defused

Most-used weapons

Lifetime map wins

2,513nuke
2,490inferno
2,464dust2
519train
223vertigo
112aztec
108italy
108cbble

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

10.9%Headshot accuracy
25.8%Accuracy (enemy spotted)
24.9%Spray accuracy
74.5%Counter-strafing
10.4°Preaim
723msReaction time
22.7%T opening success
29.7%CT opening success
0.34Enemies flashed / flash
1.6%Flash assists
8.02HE damage / grenade
1.16Flashes / 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 10.901% — below the 15% mark we flag

    Aim Training →
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 723.4572ms — above the 700ms mark we flag

    Aim Training →
  3. 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 0.3413 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Ancient

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

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient7–13-0.0520%6 Jan →
train9–13-0.0817%6 Jan →
ancient4–13-0.0712%5 Jan →
overpass6–13-0.046%30 Dec →
mirage9–13-0.0812%30 Dec →
mirage13–10-0.0912%20 Dec →
nuke4–13-0.114%20 Dec →
overpass2–13-0.064%20 Dec →
rooftop9–10.127%8 Dec →
mirage14–160.006%8 Dec →
inferno13–9-0.019%7 Dec →
mirage5–13-0.109%7 Dec →
nuke6–13-0.074%7 Dec →
inferno1–9-0.160%7 Dec →
rooftop6–9-0.124%7 Dec →
vertigo5–9-0.2424%7 Dec →
inferno4–13-0.0817%4 Dec →
nuke13–10-0.0110%4 Dec →
nuke6–13-0.0617%2 Dec →
inferno13–60.0314%2 Dec →
mirage9–13-0.037%1 Dec →
ancient9–13-0.0119%1 Dec →
nuke4–13-0.1010%1 Dec →
ancient13–7-0.0410%30 Nov →
inferno13–10-0.0421%30 Nov →
inferno15–15-0.0910%26 Nov →
inferno13–40.006%23 Nov →
nuke2–13-0.136%23 Nov →
mirage13–16-0.089%19 Nov →
train6–130.0322%19 Nov →
inferno4–13-0.126%13 Nov →
overpass9–13-0.0513%13 Nov →
mirage9–13-0.0710%3 Nov →
overpass9–13-0.046%3 Nov →
inferno15–15-0.0716%1 Nov →
overpass11–13-0.119%1 Nov →
mirage4–13-0.0611%1 Nov →
overpass3–13-0.0216%1 Nov →
train13–11-0.049%28 Oct →
nuke6–13-0.115%28 Oct →
mirage8–13-0.0319%28 Oct →
train4–13-0.060%20 Oct →
inferno13–8-0.125%20 Oct →
mirage6–13-0.0912%20 Oct →
ancient6–13-0.0912%17 Oct →
mirage11–13-0.0713%17 Oct →
nuke13–9-0.0410%17 Oct →
nuke13–7-0.0714%16 Oct →
overpass10–13-0.0215%16 Oct →
ancient15–15-0.0514%15 Oct →
inferno13–16-0.0615%15 Oct →
nuke16–14-0.027%14 Oct →
overpass6–13-0.0019%14 Oct →
nuke4–13-0.137%12 Oct →
train3–13-0.135%12 Oct →
inferno13–8-0.0422%12 Oct →
mirage4–13-0.028%11 Oct →
mirage13–8-0.0521%6 Oct →
overpass13–8-0.046%6 Oct →
nuke10–13-0.0711%3 Oct →
inferno13–16-0.0817%3 Oct →
overpass6–13-0.083%10 Sept →
dust26–13-0.063%10 Sept →
mirage13–7-0.037%8 Sept →
train7–13-0.0411%8 Sept →
inferno13–11-0.1018%8 Sept →
ancient7–130.0018%6 Sept →
inferno4–13-0.1010%6 Sept →
overpass13–9-0.0015%1 Sept →
inferno15–15-0.0818%1 Sept →
overpass9–13-0.086%25 Aug →
nuke13–10-0.0619%25 Aug →
mirage4–13-0.038%25 Aug →
ancient6–13-0.1113%20 Aug →
inferno9–13-0.028%20 Aug →
train5–13-0.0613%20 Aug →
inferno16–14-0.0614%15 Aug →
nuke13–6-0.067%15 Aug →
train16–120.012%9 Aug →
inferno13–40.014%9 Aug →
nuke10–13-0.0813%9 Aug →
inferno11–13-0.059%7 Aug →
nuke13–10-0.087%7 Aug →
inferno4–13-0.098%7 Aug →
nuke15–15-0.0616%25 Jul →
nuke7–13-0.0816%25 Jul →
mirage13–11-0.0211%24 Jul →
overpass7–130.007%24 Jul →
mirage13–10-0.0413%24 Jul →
inferno13–11-0.0910%19 Jul →
nuke16–12-0.049%19 Jul →
inferno11–13-0.040%17 Jul →
overpass16–14-0.049%17 Jul →
anubis10–13-0.0711%28 Jun →
mirage13–8-0.059%28 Jun →
anubis8–13-0.0610%27 Jun →
nuke9–13-0.055%27 Jun →
inferno13–8-0.0113%27 Jun →
inferno11–13-0.065%22 Jun →
nuke13–10-0.055%20 Jun →

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 →

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