König

König — CS2 Stats

76561198107070859[U:1:146805131]Steam profile ↗✓ No bans

907Tracked matches41%Win rate2022Tracked since
CSDB Rating5.2 DevelopingPositional Player
Premier CS Rating11,507Blue band · top ~46.9% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Oct 2026 (3 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: 11,507 -939 14 Dec – 3 Oct · 28 days played
11,11716,242peak 16,24214 Dec3 Oct
16,443Peak Premier in tracked matches
49Days played since 2025-12-14

Premier CS Rating

  • 4,735 below peak (16,242)
  • Next: Purple band at 15,000 — 3,493 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.GGKönigFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER11,507 · Blue bandcsdb.gg/stats

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Performance scores

Aim77
Positioning61
Utility31

0–100 skill scores via Leetify.

Recent form

STEADY51–46–3Last 10051%Win rateWWLWWTLLLW

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −6.0pp headshot accuracy · +42ms 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

  • 4–1 · 80% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 534ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 511ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 490ms

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 (+2.9 against its own average).

Aim7.7
Utility3.1
Positioning6.1
Opening Duels3.6
Clutch0.0

Strong CT-side opener

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

ropz

Plays most like ropz 89% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

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

T-side openings. Opening success drops from 55% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.7
Positioning6.1
Utility3.1
Mechanics5.9
Opening Duels4.3
Win Impact2.1

Composite 5.2/10 (Developing), 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 rating-0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg -0.00
Reaction time493ms−93ms
first ⅓ avg 586ms → last ⅓ avg 493ms
Headshot accuracy22.4%−4.7%
first ⅓ avg 27.1% → last ⅓ avg 22.4%

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

0.26Best match rating · 8–13 · dust2, 18 Dec →
50%Best headshot accuracy · 3–13 · nuke, 18 Dec →
359msFastest reaction time · 13–11 · inferno, 13 Sept →
13–0Biggest win · overpass, 8 Feb →

Across the last 100 tracked matches.

Highlights

9Longest win streak
W2Current streak
8–8In matches decided by ≤2 rounds
10Overtime games

Map breakdown

overpassBest map · 75% over 8nukeWeakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
anubisC188–1044%-0.00
ancientS1711–665%0.01
infernoB136–746%-0.03
nukeD133–1023%0.02
dust2B126–650%0.01
mirageA106–460%-0.00
overpassS86–275%0.04
cacheC52–340%-0.00
train—32–167%-0.01
alpine—11–0100%-0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

141Matches
46%Win rate
1.26Avg K/D
39.1ADR
34%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage617%0.8714.7
Ancient667%1.4116.0
Anubis425%1.5816.8
Vertigo367%1.1715.7
Overpass3100%1.3118.0
Nuke250%1.0812.5
Inferno1100%0.7112.0

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.

23.1%Headshot accuracy
31.9%Accuracy (enemy spotted)
28.0%Spray accuracy
76.4%Counter-strafing
7.6°Preaim
498msReaction time
39.2%T opening success
55.1%CT opening success
0.33Enemies flashed / flash
0.0%Flash assists
9.23HE damage / grenade
5.55Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3255 — below the 0.5 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 39.2056% — below the 40% mark we flag

Spend your practice time on Nuke

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

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–90.019%3 Oct →
inferno13–7-0.0112%3 Oct →
mirage7–13-0.0313%25 Sept →
inferno13–5-0.0122%20 Sept →
dust213–8-0.0314%20 Sept →
ancient15–15-0.0324%20 Sept →
anubis5–13-0.0518%20 Sept →
mirage11–13-0.0123%20 Sept →
anubis9–130.0316%20 Sept →
inferno13–40.0242%20 Sept →
dust216–140.0041%19 Sept →
anubis13–90.0122%14 Sept →
ancient14–160.0215%13 Sept →
inferno13–11-0.0123%13 Sept →
nuke9–130.1039%13 Sept →
mirage13–70.0232%13 Sept →
inferno13–70.0020%12 Sept →
inferno10–13-0.078%8 Sept →
cache13–90.0121%8 Sept →
inferno0–13-0.0832%8 Sept →
cache8–130.0526%7 Sept →
ancient8–13-0.0325%7 Sept →
cache8–13-0.0315%7 Sept →
cache5–13-0.0727%7 Sept →
dust24–13-0.0027%7 Sept →
anubis8–130.0832%5 Sept →
dust213–11-0.0232%4 Sept →
nuke7–130.0937%31 Aug →
nuke8–80.0213%30 Aug →
inferno4–9-0.0536%30 Aug →
inferno2–13-0.029%23 Aug →
anubis14–16-0.0515%16 Aug →
cache13–10.020%16 Aug →
nuke11–13-0.0233%16 Aug →
anubis5–13-0.0425%23 May →
ancient13–20.0432%30 Apr →
dust29–13-0.0324%10 Apr →
overpass13–30.018%10 Apr →
anubis13–50.078%10 Apr →
mirage13–8-0.0338%6 Apr →
nuke13–80.1635%31 Mar →
overpass16–140.0122%31 Mar →
nuke2–13-0.0936%28 Mar →
mirage1–13-0.0626%17 Mar →
anubis13–9-0.0514%16 Mar →
dust25–130.0121%16 Mar →
overpass13–60.0722%16 Mar →
anubis12–160.0328%15 Mar →
anubis13–20.0522%15 Mar →
nuke9–13-0.0719%14 Mar →
dust29–130.0226%14 Mar →
ancient13–90.0614%10 Mar →
anubis14–16-0.0111%10 Mar →
ancient9–13-0.0322%9 Mar →
ancient13–90.0236%9 Mar →
overpass11–13-0.0215%9 Mar →
mirage13–30.0329%9 Mar →
dust213–4-0.0230%5 Mar →
ancient13–6-0.0213%5 Mar →
nuke13–30.0920%2 Mar →
nuke9–13-0.0816%2 Mar →
inferno10–130.0332%2 Mar →
ancient16–140.0525%1 Mar →
alpine13–4-0.0312%1 Mar →
anubis13–7-0.0123%23 Feb →
inferno5–13-0.0515%23 Feb →
overpass13–70.0118%22 Feb →
ancient13–90.0616%22 Feb →
anubis11–13-0.0116%22 Feb →
anubis16–140.0835%19 Feb →
dust213–40.0627%18 Feb →
anubis13–5-0.0722%18 Feb →
anubis13–100.0419%17 Feb →
anubis6–13-0.0431%15 Feb →
overpass7–13-0.0217%15 Feb →
mirage0–70.0138%14 Feb →
anubis6–13-0.0745%14 Feb →
overpass13–00.0330%8 Feb →
overpass13–40.2028%8 Feb →
ancient13–20.0732%8 Feb →
ancient7–13-0.0125%25 Jan →
ancient13–90.0232%11 Jan →
inferno5–13-0.0613%9 Jan →
nuke3–13-0.038%9 Jan →
ancient2–13-0.0429%29 Dec →
nuke15–15-0.0210%29 Dec →
dust23–13-0.0643%23 Dec →
train11–130.0123%22 Dec →
mirage13–11-0.0527%21 Dec →
dust213–7-0.0223%20 Dec →
ancient13–4-0.0226%20 Dec →
ancient13–5-0.0130%19 Dec →
train13–5-0.0324%19 Dec →
nuke9–10.1635%19 Dec →
inferno9–7-0.0314%19 Dec →
train13–10-0.0037%19 Dec →
mirage13–100.0734%18 Dec →
nuke3–13-0.0150%18 Dec →
dust28–130.2636%18 Dec →
ancient13–80.0920%14 Dec →

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 →

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