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Kongen af Kolding — CS2 Stats

76561198023643122[U:1:63377394]

462Tracked matches45%Win rate2020Tracked since
CSDB Rating2.3 Learning
FaceitLevel 4 · 991 ELOTop 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGKongen af KoldingFACEITLevel 4 · 991 ELOSTANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim20
Positioning33
Utility53

0–100 skill scores via Leetify.

Recent form

COLD42–56–2Last 10042%Win rateLLLWLLLWWL

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

Aim2.0
Aggression2.5
Utility5.3
Positioning3.3
Opening Duels0.0
Clutch0.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 66% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

Strengths

Flashes. 0.88 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 672ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 56% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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
Positioning3.3
Utility5.3
Mechanics1.4
Opening Duels0.0
Win Impact3.3

Composite 2.3/10 (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-0.06−0.00
first ⅓ avg -0.05 → last ⅓ avg -0.06
Reaction time676ms+82ms
first ⅓ avg 595ms → last ⅓ avg 676ms
Headshot accuracy15.6%−1.1%
first ⅓ avg 16.6% → last ⅓ avg 15.6%

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.

Highlights

0.07Best rating — nuke 13–9
13–0Biggest win — overpass
4Longest win streak
L3Current streak
10–14In matches decided by ≤2 rounds
9Overtime games

Map breakdown

overpassBest map · 57% over 7dust2Weakest map · 0% over 9
MapGradePlayedRecordWin rateAvg rating
ancientB189–950%-0.04
anubisD174–1324%-0.07
infernoA169–756%-0.04
nukeA116–555%-0.03
dust2D90–90%-0.04
mirageA95–456%-0.03
overpassA74–357%-0.05
vertigoC73–443%-0.06
train—42–250%-0.04
cache—20–20%-0.09

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (0% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

306Matches
52%Win rate
0.65Avg K/D
55.4ADR
44%Headshot %

Clutches & streaks

12%1v1 clutch win
18%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Anubis1765%0.659.9
Ancient1669%0.8512.6
Mirage1436%0.7611.0
Inferno1267%0.779.9
Vertigo1080%0.739.8
Nuke786%0.7813.1
Dust250%0.6910.6
Overpass333%0.819.3

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.

15.7%Headshot accuracy
27.2%Accuracy (enemy spotted)
33.6%Spray accuracy
56.5%Counter-strafing
12.5°Preaim
672msReaction time
27.6%T opening success
26.1%CT opening success
0.88Enemies flashed / flash
4.4%Flash assists
10.75HE damage / grenade
2.65Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.5013° — above the 12° 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 2.6538 — below the 4 mark we flag

    Grenade Lineups →
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.

0% win rate across 9 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
anubis10–13-0.0913%10 Jul →
dust211–13-0.0438%23 Jun →
anubis14–16-0.0715%23 Jun →
ancient13–11-0.0319%16 Jun →
overpass9–13-0.066%9 Jun →
nuke11–13-0.0213%9 Jun →
anubis5–13-0.1018%9 Jun →
nuke13–11-0.0819%5 Jun →
ancient16–14-0.0113%5 Jun →
dust25–13-0.0311%5 Jun →
inferno13–7-0.0214%5 Jun →
anubis9–13-0.067%1 Jun →
cache3–13-0.0915%1 Jun →
ancient13–11-0.048%1 Jun →
cache10–13-0.0816%1 Jun →
anubis10–13-0.0810%30 May →
nuke8–13-0.1015%27 May →
ancient11–13-0.068%27 May →
nuke5–13-0.0619%20 Apr →
overpass13–4-0.0719%17 Apr →
inferno13–8-0.0126%17 Apr →
overpass13–3-0.0620%17 Apr →
nuke13–3-0.0012%17 Apr →
dust26–13-0.0430%17 Apr →
ancient13–3-0.0917%17 Apr →
overpass13–0-0.0411%6 Dec →
dust214–16-0.0917%6 Dec →
inferno15–15-0.0515%6 Dec →
mirage13–8-0.0714%1 Oct →
inferno13–7-0.0616%1 Oct →
nuke8–13-0.019%1 Oct →
dust21–13-0.0922%1 Oct →
overpass8–13-0.049%19 Sept →
dust29–13-0.0911%19 Sept →
anubis7–13-0.0711%19 Sept →
overpass13–4-0.0222%9 Sept →
nuke13–4-0.0413%9 Sept →
dust211–130.0117%9 Sept →
mirage6–13-0.0321%30 Aug →
overpass7–13-0.0723%30 Aug →
dust213–16-0.0320%30 Aug →
ancient13–8-0.0118%26 Jun →
ancient13–8-0.018%26 Jun →
mirage16–120.0215%16 Apr →
anubis9–13-0.0228%23 Mar →
mirage13–11-0.0618%22 Mar →
inferno13–11-0.0114%22 Mar →
dust23–130.0028%22 Mar →
mirage13–7-0.0011%22 Mar →
ancient11–13-0.0420%22 Mar →
ancient12–16-0.0115%21 Mar →
inferno13–10-0.0520%21 Mar →
mirage11–13-0.039%8 Mar →
nuke13–0-0.0025%8 Mar →
ancient8–13-0.0130%25 Feb →
inferno13–4-0.0326%25 Feb →
ancient7–13-0.098%25 Feb →
ancient13–11-0.034%14 Feb →
inferno13–11-0.0224%14 Feb →
anubis13–6-0.0413%14 Feb →
train13–7-0.0615%14 Feb →
inferno2–13-0.058%14 Feb →
anubis5–13-0.0325%14 Feb →
nuke13–6-0.053%7 Feb →
ancient11–13-0.0111%7 Feb →
inferno11–130.0119%7 Feb →
ancient11–13-0.0517%7 Feb →
train8–130.018%1 Feb →
inferno13–4-0.0118%1 Feb →
anubis13–7-0.0519%1 Feb →
mirage11–13-0.0121%20 Dec →
anubis13–6-0.1019%20 Dec →
nuke10–13-0.0419%20 Dec →
vertigo6–13-0.1016%20 Dec →
anubis5–13-0.0838%18 Nov →
vertigo0–13-0.1424%18 Nov →
train13–20.0014%18 Nov →
train3–13-0.126%18 Nov →
vertigo8–13-0.1015%8 Nov →
ancient13–40.0013%8 Nov →
anubis2–13-0.0921%29 Oct →
inferno2–13-0.1014%29 Oct →
mirage13–11-0.0430%17 Oct →
ancient16–12-0.0614%17 Oct →
vertigo13–50.0216%15 Oct →
ancient11–13-0.1018%15 Oct →
mirage6–13-0.089%11 Oct →
inferno7–13-0.0810%11 Oct →
vertigo8–13-0.0319%11 Oct →
anubis11–13-0.1018%11 Oct →
ancient10–13-0.0318%9 Oct →
inferno4–3-0.020%9 Oct →
nuke13–90.0712%9 Oct →
anubis13–8-0.0220%9 Oct →
anubis4–13-0.1015%11 Sept →
vertigo13–5-0.0416%11 Sept →
inferno10–13-0.0618%11 Sept →
inferno10–13-0.079%7 Sept →
anubis15–15-0.0633%7 Sept →
vertigo13–4-0.059%7 Sept →

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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