Krydderheks — CS2 Stats

76561198187253523[U:1:226987795]✓ No bans

1,795Tracked matches50%Win rate2020Tracked since
1,384Hours in CS
CSDB Rating5.2 DevelopingPassive Rifler
FaceitLevel 10 · 2,080 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=4,917), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 10 median
Headshot rate43.9%51.9%
Shot accuracy15.4%13.7%
Kill/death ratio0.981.08
Match win rate50.3%48.7%

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CSDB.GGKrydderheksFACEITLevel 10 · 2,080 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim64
Positioning48
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY4951Last 10049%Win rateLLWLLWWWLL

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

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim6.4
Aggression3.8
Utility4.1
Positioning4.8
Opening Duels0.9
Clutch3.4

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.

Your pro match

NiKo

Plays most like NiKo 79% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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

T-side openings. Opening success drops from 44% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 612ms 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

Aim6.4
Positioning4.8
Utility4.1
Mechanics6.7
Opening Duels1.8
Win Impact5.0

Composite 5.2/10 (Developing), 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-0.01−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time604ms−24ms
first ⅓ avg 627ms → last ⅓ avg 604ms
Headshot accuracy17.2%−4.4%
first ⅓ avg 21.6% → last ⅓ avg 17.2%

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

0.19Best rating — overpass 13–7
132Biggest win — anubis
4Longest win streak
L2Current streak
1013In matches decided by ≤2 rounds
16Overtime games

Map breakdown

overpassBest map · 80% over 5ancientWeakest map · 23% over 22
MapGradePlayedRecordWin rateAvg rating
ancientD2251723%-0.03
anubisA2011955%0.00
mirageC145936%-0.01
trainS139469%0.01
infernoA116555%-0.00
dust2S97278%0.01
overpassS54180%0.05
vertigo32167%-0.01
nuke2020%-0.03
cache1010%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (23% over 22). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

62,594Lifetime kills
0.98K/D
2,735Matches
50.3%Match win rate · Top 50% of Level 10 players
43.9%Headshot %
15.4%Shot accuracy · Top 50% of Level 10 players
6,808MVPs
1,384Hours (in match)
2,919Bombs planted
758Bombs defused

Most-used weapons

AK-4719,929
AWP3,392
Knife2,235
MP91,106
Tec-91,007

Lifetime map wins

4,591dust2
3,426inferno
3,289vertigo
1,283train
567nuke
174cbble
11safehouse
7lake

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

Faceit stats

Combat

1,248Matches
52%Win rate
0.96Avg K/D
77.4ADR
41%Headshot %

Clutches & streaks

37%1v1 clutch win
18%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Anubis19455%1.0115.2
Ancient16247%0.9714.9
Mirage6841%0.9014.2
Overpass6869%1.0515.1
Train5054%1.1716.2
Dust24955%0.9415.0
Inferno4233%0.8915.1
Vertigo2138%0.8514.2

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.

17.2%Headshot accuracy
34.0%Accuracy (enemy spotted)
37.4%Spray accuracy
80.3%Counter-strafing
10.5°Preaim
612msReaction time
22.8%T opening success
44.2%CT opening success
0.51Enemies flashed / flash
3.5%Flash assists
7.29HE damage / grenade
8.78Flashes / 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

    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 22.8289% — 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.

23% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–16-0.0312%29 May
ancient10–13-0.0720%10 May
overpass22–19-0.0216%13 Apr
ancient11–13-0.0312%13 Apr
inferno6–13-0.0225%1 Apr
inferno13–10-0.0323%1 Apr
inferno13–70.0012%26 Mar
inferno13–11-0.0120%26 Mar
overpass3–13-0.0227%26 Mar
inferno11–130.0113%16 Mar
anubis13–80.0019%12 Mar
dust216–130.0125%28 Feb
anubis14–16-0.0227%20 Feb
ancient6–13-0.0514%6 Feb
ancient3–13-0.0711%1 Feb
overpass13–60.0622%28 Sept
overpass13–70.0524%26 Sept
train13–11-0.0217%8 Aug
train12–16-0.0124%7 Aug
mirage7–13-0.0320%3 Jun
mirage2–13-0.0429%28 Apr
ancient11–13-0.0914%7 Apr
train13–100.038%1 Apr
mirage13–100.0613%13 Mar
anubis13–110.0516%13 Mar
anubis13–110.019%10 Mar
inferno3–13-0.0614%1 Mar
anubis13–11-0.0613%23 Feb
mirage10–13-0.039%21 Feb
anubis13–90.0112%21 Feb
ancient16–13-0.0018%19 Feb
anubis14–16-0.0016%19 Feb
ancient9–13-0.0513%18 Feb
train9–13-0.088%14 Feb
train16–130.0223%8 Feb
mirage13–110.0124%8 Feb
ancient9–130.0112%8 Feb
anubis13–30.1025%8 Feb
train13–40.0311%7 Feb
dust213–100.0422%29 Jan
anubis13–90.0311%27 Jan
ancient11–13-0.046%27 Jan
train13–9-0.0112%17 Jan
dust213–90.0330%17 Jan
ancient13–70.0319%17 Jan
anubis10–130.0316%17 Jan
ancient10–13-0.0213%16 Jan
ancient8–13-0.0524%16 Jan
ancient12–16-0.0410%5 Jan
dust24–13-0.0621%5 Jan
train13–60.0421%5 Jan
vertigo13–100.0330%1 Jan
ancient5–13-0.0331%28 Dec
mirage19–160.0113%26 Dec
ancient19–22-0.0815%23 Dec
anubis11–130.0315%19 Dec
mirage13–16-0.035%17 Dec
ancient17–19-0.057%17 Dec
ancient10–130.0315%16 Dec
anubis2–130.0318%14 Dec
anubis11–13-0.0311%9 Dec
anubis14–16-0.0112%6 Dec
anubis13–100.0019%5 Dec
train13–50.0912%27 Nov
vertigo13–11-0.0810%27 Nov
train8–13-0.0217%26 Nov
train8–130.0210%22 Nov
vertigo10–130.0426%21 Nov
train13–40.0513%20 Nov
train13–9-0.0228%14 Nov
mirage4–13-0.0218%11 Nov
ancient5–13-0.0621%2 Nov
mirage9–13-0.0719%21 Oct
mirage8–13-0.0314%14 Oct
anubis4–13-0.093%11 Oct
dust213–10-0.0312%4 Oct
dust216–14-0.0316%27 Sept
inferno0–2-0.04100%12 Sept
anubis13–11-0.0220%12 Sept
nuke7–13-0.0619%9 Sept
anubis13–2-0.0221%9 Sept
ancient13–80.0315%8 Sept
dust216–140.0617%8 Sept
mirage9–130.0818%8 Sept
mirage13–9-0.0326%7 Sept
inferno11–130.0120%7 Sept
inferno13–40.0319%6 Sept
ancient13–8-0.0314%6 Sept
inferno13–30.0615%5 Sept
ancient8–130.0316%5 Sept
anubis7–00.0714%5 Sept
ancient13–5-0.0325%1 Sept
dust211–130.0125%1 Sept
nuke7–13-0.0111%30 Aug
mirage13–5-0.0231%30 Aug
dust213–80.0839%30 Aug
overpass13–70.198%27 Aug
inferno13–60.0423%27 Aug
mirage8–13-0.0323%24 Aug
anubis7–13-0.0421%24 Aug

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
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