ムKing Konradム

ムKing Konradム — CS2 Stats

76561198305288285[U:1:345022557]Steam profile ↗✓ No bans

316Tracked matches45%Win rate2020Tracked since
CSDB Rating6.6 SolidPositional Player
Premier CS Rating16,162Purple band · top ~23.8% of ranked players (population est.)
FaceitLevel 1Top 100.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 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: 16,162 -198 25 Sept – 13 Oct · 28 days played
14,48117,008peak 17,00825 Sept13 Oct
17,008Peak Premier in tracked matches
39Days played since 2025-09-25

Premier CS Rating

  • 846 below peak (17,008)
  • Next: Pink band at 20,000 — 3,838 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-30
  • Blue band first seen 2026-08-30

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGムKing KonradムFACEITLevel 1STANDINGTop 100.0% of rankedPREMIER16,162 · Purple bandcsdb.gg/stats

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Performance scores

Aim88
Positioning64
Utility40

0–100 skill scores via Leetify.

Recent form

COLD36–59–5Last 10036%Win rateLLLWLWLLLW

Last 10 vs previous 10: −20pp win rate · −0.03 avg rating · +2.6pp headshot accuracy · +49ms reaction

Win rate down 20pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 30%
  • Avg reaction 598ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 31%
  • Avg reaction 598ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 30%
  • Avg reaction 573ms

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 (+1.7 against its own average).

Aim8.8
Utility4.0
Positioning6.4
Opening Duels3.6

Sharp aimerExcellent counter-strafingLimited 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

ropz

Plays most like ropz 91% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution.

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

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

Areas to improve

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

Reaction time. 576ms 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

Aim8.8
Positioning6.4
Utility4.0
Mechanics8.6
Opening Duels5.0
Win Impact3.3

Composite 6.6/10 (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-0.02+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time579ms−128ms
first ⅓ avg 706ms → last ⅓ avg 579ms
Headshot accuracy28.9%+5.4%
first ⅓ avg 23.6% → last ⅓ avg 28.9%

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

0.20Best match rating · 13–1 · inferno, 29 Aug →
55%Best headshot accuracy · 5–9 · inferno, 28 Sept →
391msFastest reaction time · 7–13 · mirage, 27 Sept →
13–1Biggest win · inferno, 29 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
6–14In matches decided by ≤2 rounds
18Overtime games

Map breakdown

cacheBest map · 55% over 20anubisWeakest map · 8% over 12
MapGradePlayedRecordWin rateAvg rating
dust2C2711–1641%-0.02
cacheA2011–955%-0.00
infernoC135–838%-0.04
anubisD121–118%-0.01
mirageD124–833%-0.02
ancientD92–722%-0.04
nuke—32–167%-0.01
overpass—20–20%-0.05
train—20–20%0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (8% over 12). Start with the 6 essential Anubis 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.

28.8%Headshot accuracy
34.3%Accuracy (enemy spotted)
39.0%Spray accuracy
88.8%Counter-strafing
8.9°Preaim
576msReaction time
56.5%T opening success
43.5%CT opening success
0.69Enemies flashed / flash
5.0%Flash assists
6.97HE damage / grenade
4.05Flashes / match

Recommended for you

Spend your practice time on Anubis

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

8% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno1–13-0.0526%13 Oct →
dust26–13-0.0148%13 Oct →
nuke6–13-0.0733%11 Oct →
inferno13–11-0.0615%11 Oct →
ancient11–13-0.0727%9 Oct →
cache13–90.0429%9 Oct →
anubis8–130.0542%9 Oct →
anubis5–13-0.0428%9 Oct →
cache1–13-0.0933%8 Oct →
cache13–7-0.0328%8 Oct →
ancient3–13-0.1833%8 Oct →
cache15–15-0.0235%5 Oct →
nuke13–70.0234%5 Oct →
cache11–13-0.0223%5 Oct →
cache10–130.0838%2 Oct →
cache13–8-0.0219%2 Oct →
cache13–50.0838%1 Oct →
nuke13–110.0117%1 Oct →
inferno13–60.0030%30 Sept →
cache11–13-0.0216%30 Sept →
mirage13–70.0242%30 Sept →
mirage13–100.0120%30 Sept →
mirage7–13-0.0133%27 Sept →
dust211–13-0.1032%27 Sept →
anubis8–13-0.0121%27 Sept →
dust213–10-0.0422%27 Sept →
dust213–9-0.0216%27 Sept →
anubis11–13-0.0441%25 Sept →
cache13–100.0322%25 Sept →
dust26–13-0.0233%25 Sept →
mirage10–130.0033%24 Sept →
anubis4–13-0.0322%24 Sept →
cache10–130.0225%24 Sept →
dust211–13-0.0325%3 Sept →
mirage11–13-0.1017%3 Sept →
anubis10–13-0.047%3 Sept →
inferno13–5-0.0134%3 Sept →
anubis7–130.0225%31 Aug →
dust213–11-0.0534%31 Aug →
cache13–6-0.0018%31 Aug →
mirage13–10-0.0236%30 Aug →
ancient2–13-0.0336%29 Aug →
inferno13–10.2038%29 Aug →
anubis16–140.0120%29 Aug →
dust29–13-0.0521%28 Aug →
dust23–13-0.0317%28 Aug →
dust211–13-0.0323%27 Aug →
ancient13–6-0.0122%27 Aug →
inferno4–13-0.0237%27 Aug →
ancient13–11-0.0225%24 Aug →
dust215–150.0021%24 Aug →
cache13–16-0.0224%23 Aug →
cache13–50.0124%23 Aug →
cache13–8-0.0519%23 Aug →
inferno7–13-0.0525%23 Aug →
dust27–130.0132%23 Aug →
mirage14–16-0.0718%21 Aug →
dust28–13-0.0234%21 Aug →
dust214–16-0.0445%21 Aug →
dust27–13-0.0026%21 Aug →
cache4–13-0.0813%19 Aug →
dust215–15-0.0414%19 Aug →
dust213–7-0.0137%17 Aug →
anubis14–16-0.0215%17 Aug →
mirage13–30.1023%16 Aug →
dust213–8-0.0417%16 Aug →
ancient15–15-0.0013%16 Aug →
anubis8–13-0.0623%16 Aug →
dust26–130.0538%16 Aug →
mirage4–9-0.0110%10 Aug →
anubis7–130.0417%6 Aug →
inferno16–13-0.0128%6 Aug →
cache13–90.0138%6 Aug →
dust213–90.0015%5 Aug →
dust216–12-0.0312%5 Aug →
ancient6–13-0.0419%5 Aug →
inferno3–13-0.0713%5 Aug →
dust26–13-0.0310%5 Aug →
ancient5–13-0.049%4 Aug →
anubis7–13-0.0316%4 Aug →
dust213–30.0110%4 Aug →
cache13–16-0.0115%3 Aug →
dust216–130.0120%2 Aug →
inferno8–13-0.0643%2 Aug →
dust26–13-0.0440%2 Aug →
cache13–70.0620%24 Jul →
cache16–13-0.0434%24 Jul →
overpass5–13-0.0618%26 Oct →
dust213–60.1021%26 Oct →
dust216–14-0.0332%21 Oct →
inferno8–13-0.0324%21 Oct →
inferno15–15-0.0521%20 Oct →
mirage10–13-0.0228%3 Oct →
train12–160.0027%2 Oct →
mirage4–6-0.0817%29 Sept →
inferno5–9-0.2455%28 Sept →
mirage10–13-0.0431%28 Sept →
train9–130.0138%27 Sept →
overpass14–16-0.0319%27 Sept →
ancient11–13-0.0219%25 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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