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Kuningas Herodes — CS2 Stats

76561198292241754[U:1:331976026]

756Tracked matches43%Win rate2020Tracked since
1,530Hours in CS
CSDB Rating3.1 Learning
FaceitLevel 4 · 957 ELOTop 81.0% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

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CSDB.GGKuningas HerodesFACEITLevel 4 · 957 ELOSTANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim28
Positioning42
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY36–57–7Last 10036%Win rateWLLWLWWWLL

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

Player DNA

Aim2.8
Aggression1.8
Utility4.3
Positioning4.2
Opening Duels0.1
Clutch3.4

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 69% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower opening-fight frequency; 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

T-side openings. Opening success drops from 42% on CT to 19% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 689ms 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

Aim2.8
Positioning4.2
Utility4.3
Mechanics5.0
Opening Duels1.5
Win Impact2.6

Composite 3.1/10 (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-0.03+0.02
first ⅓ avg -0.05 → last ⅓ avg -0.03
Reaction time668ms−99ms
first ⅓ avg 767ms → last ⅓ avg 668ms
Headshot accuracy13.5%−3.1%
first ⅓ avg 16.6% → last ⅓ avg 13.5%

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

0.09Best rating — inferno 9–4
13–0Biggest win — inferno
5Longest win streak
2–5In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 83% over 6trainWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
mirageD255–2020%-0.05
infernoC239–1439%-0.03
nukeB137–654%-0.06
trainD112–918%-0.04
overpassD93–633%-0.04
ancientS65–183%-0.02
dust2A53–260%-0.06
vertigoD51–420%-0.07
anubis—11–0100%0.07
office—10–10%-0.08
italy—10–10%-0.10

Across the last 100 tracked matches.

Lifetime stats

43,359Lifetime kills
0.77K/D
2,620Matches
42.1%Match win rate
45.3%Headshot %
15.3%Shot accuracy · Top 50% of tracked players
7,000MVPs
1,530Hours (in match)
3,121Bombs planted
590Bombs defused

Most-used weapons

AK-4714,347
M4A4 / M4A1-S7,674
AWP3,458
P2000 / USP-S3,014
Desert Eagle2,805
Glock-181,567
FAMAS1,248
SG 553999
AUG972
Galil AR960

Lifetime map wins

5,522inferno
4,122train
2,274nuke
1,524dust2
611vertigo
295cbble
62lake
23office

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

Faceit stats

Combat

810Matches
50%Win rate
0.86Avg K/D
54.3ADR
42%Headshot %

Clutches & streaks

37%1v1 clutch win
9%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Inferno4751%0.7410.0
Mirage4048%0.609.6
Overpass3560%0.669.6
Nuke3253%0.6810.4
Train2167%0.8110.2
Ancient1856%0.7711.3
Dust21553%0.7010.1
Anubis875%0.527.8

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.

12.8%Headshot accuracy
27.7%Accuracy (enemy spotted)
27.3%Spray accuracy
72.6%Counter-strafing
10.3°Preaim
689msReaction time
19.3%T opening success
41.8%CT opening success
0.54Enemies flashed / flash
7.6%Flash assists
8.59HE damage / grenade
3.62Flashes / 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 12.8273% — 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 3.6246 — 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 19.2623% — below the 40% mark we flag

Spend your practice time on Train

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

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno9–5-0.0315%25 Mar →
inferno4–13-0.0817%16 Mar →
mirage4–13-0.064%11 Mar →
ancient16–12-0.0414%4 Mar →
mirage9–13-0.0717%2 Mar →
inferno13–0-0.0323%1 Mar →
ancient13–80.003%26 Feb →
dust213–6-0.067%26 Feb →
nuke3–11-0.0625%17 Feb →
train6–13-0.0211%16 Feb →
dust213–9-0.063%16 Feb →
mirage11–50.0116%16 Feb →
mirage8–13-0.0511%15 Feb →
inferno15–15-0.037%12 Feb →
mirage11–13-0.0517%11 Feb →
inferno13–6-0.0415%11 Feb →
inferno5–13-0.0211%10 Feb →
overpass13–2-0.056%10 Feb →
mirage12–12-0.0318%10 Feb →
inferno16–120.0012%4 Feb →
ancient10–130.0210%31 Jan →
train13–8-0.0211%30 Jan →
mirage7–13-0.0213%30 Jan →
inferno5–13-0.0218%27 Jan →
inferno3–130.000%27 Jan →
mirage2–7-0.0729%26 Jan →
nuke16–13-0.0714%25 Jan →
overpass8–13-0.0718%25 Jan →
overpass16–19-0.075%21 Jan →
overpass22–180.0214%4 Jan →
inferno11–13-0.0221%3 Jan →
inferno5–13-0.0526%3 Jan →
train7–130.0613%3 Jan →
overpass1–13-0.0727%3 Jan →
nuke10–13-0.0318%3 Jan →
ancient13–9-0.0514%3 Dec →
vertigo13–10-0.0314%2 Dec →
ancient13–100.0011%1 Dec →
train6–13-0.068%30 Nov →
train19–17-0.0412%30 Nov →
nuke13–7-0.0414%29 Nov →
anubis13–100.0710%27 Nov →
overpass13–10-0.056%25 Nov →
mirage13–20.058%22 Nov →
mirage4–13-0.120%20 Nov →
inferno9–13-0.0435%18 Nov →
mirage12–12-0.0721%18 Nov →
inferno13–5-0.0314%18 Nov →
inferno9–40.0814%18 Nov →
nuke13–9-0.119%18 Nov →
inferno13–80.0026%17 Nov →
mirage13–10-0.0120%17 Nov →
mirage0–13-0.147%16 Nov →
train9–13-0.094%16 Nov →
nuke11–13-0.0524%16 Nov →
nuke3–13-0.0713%15 Nov →
mirage5–13-0.0425%10 Nov →
train9–13-0.0617%10 Nov →
dust213–4-0.0126%5 Nov →
ancient13–8-0.0519%4 Nov →
inferno13–7-0.0130%4 Nov →
vertigo3–9-0.198%29 Oct →
overpass8–8-0.0015%29 Oct →
inferno2–9-0.180%29 Oct →
mirage9–13-0.0815%14 Oct →
inferno4–9-0.0414%14 Oct →
dust210–13-0.090%13 Oct →
mirage2–13-0.118%8 Oct →
office9–13-0.0822%7 Oct →
mirage13–5-0.0719%7 Oct →
train12–12-0.050%6 Oct →
dust29–12-0.0729%22 Sept →
inferno9–40.0913%19 Sept →
nuke9–6-0.1413%17 Sept →
inferno3–9-0.1324%17 Sept →
train9–13-0.0412%10 Sept →
overpass8–13-0.0316%9 Sept →
train6–13-0.105%9 Sept →
vertigo10–13-0.039%8 Sept →
nuke13–11-0.0312%8 Sept →
mirage10–13-0.0514%8 Sept →
vertigo4–13-0.0513%7 Sept →
inferno9–13-0.0118%7 Sept →
nuke7–13-0.0515%7 Sept →
mirage12–12-0.097%5 Sept →
mirage11–13-0.0118%5 Sept →
mirage2–13-0.0117%1 Sept →
nuke13–7-0.0319%24 Apr →
italy8–13-0.1017%23 Apr →
inferno10–13-0.0228%13 Apr →
mirage9–13-0.0710%13 Apr →
nuke8–13-0.0315%13 Apr →
mirage11–13-0.0625%12 Apr →
train10–13-0.0413%12 Mar →
mirage13–10-0.0430%12 Mar →
vertigo12–12-0.0229%11 Mar →
mirage10–13-0.0222%11 Mar →
overpass0–13-0.0326%10 Mar →
inferno5–13-0.0111%10 Mar →
nuke13–5-0.0318%10 Mar →

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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