Karsten Koldskål

Karsten Koldskål — CS2 Stats

76561198803922223[U:1:843656495]Steam profile ↗✓ No bans

346Tracked matches50%Win rate2025Tracked since
CSDB Rating4.7 DevelopingSupport
Premier CS Rating6,560Light Blue band · top ~71.3% of ranked players (population est.)
WingmanSilver IV
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Oct 2026 (11 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: 6,560 -44 9 Sept – 16 Oct · 3 days played
6,5606,984peak 6,9849 Sept16 Oct
6,984Peak Premier in tracked matches
32Days played since 2026-07-20

Premier CS Rating

  • 424 below peak (6,984)
  • -424 over 30 days · declining
  • Next: Blue band at 10,000 — 3,440 to go
  • Reached: 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.GGKarsten KoldskålPREMIER6,560 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim60
Positioning50
Utility52

0–100 skill scores via Leetify.

Recent form

COLD44–54–2Last 10044%Win rateLWLLWLLLLW

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · +8.9pp headshot accuracy · +22ms reaction

Win rate down 20pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 16%
  • Avg reaction 628ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 19%
  • Avg reaction 632ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 621ms

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 (+1.2 against its own average).

Aim6.0
Utility5.2
Positioning5.0
Opening Duels1.8

Strong 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

ZywOo

Plays most like ZywOo 84% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 636ms 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

Aim6.0
Positioning5.0
Utility5.2
Mechanics5.8
Opening Duels2.9
Win Impact5.0

Composite 4.7/10 (Developing), 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-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time642ms−3ms
first ⅓ avg 646ms → last ⅓ avg 642ms
Headshot accuracy13.4%−0.9%
first ⅓ avg 14.2% → last ⅓ avg 13.4%

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

0.07Best match rating · 11–13 · dust2, 11 Sept →
35%Best headshot accuracy · 4–9 · inferno, 16 Oct →
430msFastest reaction time · 13–6 · ancient, 2 Sept →
13–0Biggest win · mirage, 9 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–10In matches decided by ≤2 rounds
1Overtime games

Map breakdown

mirageBest map · 58% over 12ancientWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
nukeB2110–1148%-0.03
infernoC207–1335%-0.05
dust2A2011–955%-0.00
mirageA127–558%-0.01
ancientD113–827%-0.03
anubisC94–544%-0.02
cache—41–325%-0.03
vertigo—20–20%-0.11
eldorado—11–0100%0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

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

13.1%Headshot accuracy
36.0%Accuracy (enemy spotted)
38.7%Spray accuracy
76.1%Counter-strafing
9.5°Preaim
636msReaction time
37.8%T opening success
45.6%CT opening success
0.55Enemies flashed / flash
9.5%Flash assists
8.66HE damage / grenade
3.75Flashes / 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 13.1484% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

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

    Flashes per match 3.7483 — below the 4 mark we flag

    Grenade Lineups →
  3. 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 37.8184% — below the 40% mark we flag

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.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke2–13-0.0614%24 Oct →
eldorado9–60.0624%23 Oct →
inferno2–9-0.166%23 Oct →
inferno7–9-0.0714%23 Oct →
nuke13–20.0222%23 Oct →
ancient4–13-0.076%23 Oct →
ancient7–13-0.0625%17 Oct →
inferno4–9-0.0335%16 Oct →
dust29–90.0618%16 Oct →
inferno13–80.0326%16 Oct →
mirage13–0-0.0113%9 Oct →
inferno13–10-0.014%9 Oct →
anubis3–13-0.0718%19 Sept →
nuke13–70.0415%19 Sept →
inferno6–13-0.1013%19 Sept →
inferno8–20.055%14 Sept →
dust211–130.0714%11 Sept →
inferno13–11-0.109%11 Sept →
nuke2–13-0.094%11 Sept →
inferno4–9-0.158%11 Sept →
inferno2–9-0.130%11 Sept →
mirage13–110.029%11 Sept →
dust26–13-0.0814%11 Sept →
nuke13–6-0.047%11 Sept →
dust213–10-0.0419%9 Sept →
nuke13–40.0316%9 Sept →
nuke8–13-0.0110%9 Sept →
anubis14–16-0.0516%5 Sept →
mirage13–6-0.0813%5 Sept →
dust213–90.0315%5 Sept →
mirage13–60.0112%5 Sept →
ancient11–13-0.067%4 Sept →
dust213–110.0413%4 Sept →
nuke3–4-0.030%4 Sept →
mirage6–130.0011%4 Sept →
dust26–13-0.0518%2 Sept →
ancient13–60.005%2 Sept →
nuke1–13-0.066%2 Sept →
ancient3–13-0.032%2 Sept →
dust211–130.0413%1 Sept →
inferno10–130.034%1 Sept →
dust213–40.0322%31 Aug →
cache10–13-0.009%30 Aug →
mirage13–5-0.056%30 Aug →
nuke13–100.0013%29 Aug →
nuke4–13-0.0722%29 Aug →
dust213–10-0.0215%29 Aug →
mirage13–100.0114%29 Aug →
dust213–10.0519%24 Aug →
ancient13–10-0.0316%24 Aug →
mirage6–13-0.0215%23 Aug →
dust213–7-0.0016%23 Aug →
nuke2–13-0.065%23 Aug →
mirage7–13-0.0311%22 Aug →
inferno10–130.036%22 Aug →
nuke13–50.0010%21 Aug →
dust213–50.0117%21 Aug →
cache13–4-0.050%21 Aug →
inferno13–8-0.073%21 Aug →
anubis5–130.0224%21 Aug →
ancient4–13-0.0711%21 Aug →
mirage7–130.0013%21 Aug →
nuke9–5-0.0414%19 Aug →
inferno6–90.0121%19 Aug →
vertigo2–9-0.1416%19 Aug →
inferno8–8-0.019%19 Aug →
inferno5–9-0.108%19 Aug →
dust27–130.0220%17 Aug →
inferno13–9-0.0414%16 Aug →
dust213–1-0.0411%16 Aug →
nuke11–13-0.0522%16 Aug →
anubis10–13-0.0211%16 Aug →
ancient13–90.0313%9 Aug →
nuke13–6-0.009%9 Aug →
mirage13–50.0115%9 Aug →
anubis13–11-0.038%8 Aug →
inferno13–70.0021%8 Aug →
ancient11–13-0.0120%7 Aug →
mirage3–13-0.0322%7 Aug →
inferno8–13-0.058%7 Aug →
dust213–10-0.068%7 Aug →
nuke13–9-0.0418%29 Jul →
nuke2–13-0.0812%29 Jul →
inferno4–13-0.0418%29 Jul →
vertigo6–13-0.089%29 Jul →
ancient1–13-0.0518%29 Jul →
dust21–13-0.0313%29 Jul →
anubis13–110.0115%27 Jul →
cache4–13-0.047%27 Jul →
anubis6–13-0.0116%26 Jul →
nuke12–12-0.0616%26 Jul →
nuke13–7-0.008%25 Jul →
anubis13–10-0.0314%25 Jul →
dust213–11-0.0617%25 Jul →
dust26–13-0.0116%24 Jul →
dust24–60.0333%24 Jul →
ancient4–130.0217%20 Jul →
anubis5–00.000%20 Jul →
cache7–13-0.0111%20 Jul →
nuke3–13-0.0512%20 Jul →

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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