Marken

Marken — CS2 Stats

NO76561198116442190[U:1:156176462]Steam profile ↗✓ No bans

648Tracked matches60%Win rate2020Tracked since
CSDB Rating7.8 StrongPositional Player
CSDB Leaderboard#58525 of 259978 tracked
FaceitLevel 10 · 1,900 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 21,836 +477 9 Apr – 31 May · 9 days played
20,45922,364peak 22,3649 Apr31 May
22,492Peak Premier in tracked matches
1,900Highest Faceit ELO seen on CSDB
34Days played since 2026-04-09

Faceit ELO

  • At peak — 1,900
  • Next: Level 10 at 2,001 — 101 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6

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

Share this profile

CSDB.GGMarkenFACEITLevel 10 · 1,900 ELOSTANDINGTop 12.4% of rankedPEAK ELO1,900csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim89
Positioning78
Utility74

0–100 skill scores via Leetify.

Recent form

STEADY56–38–6Last 10056%Win rateWWLWWLWLWL

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · −6.0pp headshot accuracy · −54ms reaction

Win rate 0pp 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 0.06
  • Avg headshot accuracy 28%
  • Avg reaction 475ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 29%
  • Avg reaction 459ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 32%
  • Avg reaction 486ms

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 (+1.2 against its own average).

Aim8.9
Utility7.4
Positioning7.8
Opening Duels7.4
Clutch3.8

Sharp aimer

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

device

Plays most like device 91% playstyle similarity

Most alike: positioning profile, 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 89 — the mechanical foundation is a clear strength.

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 66% T opening-duel success — entries that actually open the round.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.2° off target when enemies appear — placement, not flicking, is the bigger win available.

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

Aim8.9
Positioning7.8
Utility7.4
Mechanics7.6
Opening Duels8.5
Win Impact8.3

Composite 7.8/10 (Strong), 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 rating0.05−0.00
first ⅓ avg 0.05 → last ⅓ avg 0.05
Reaction time503ms−49ms
first ⅓ avg 553ms → last ⅓ avg 503ms
Headshot accuracy29.7%−1.1%
first ⅓ avg 30.8% → last ⅓ avg 29.7%

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

0.24Best match rating · 9–6 · inferno, 25 Oct →
70%Best headshot accuracy · 2–9 · inferno, 13 Oct →
359msFastest reaction time · 13–10 · ancient, 9 Apr →
13–1Biggest win · inferno, 24 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W2Current streak
7–5In matches decided by ≤2 rounds
5Overtime games

Map breakdown

overpassBest map · 80% over 5cacheWeakest map · 38% over 16
MapGradePlayedRecordWin rateAvg rating
infernoA4124–1759%0.06
cacheC166–1038%0.05
anubisC125–742%0.03
ancientS118–373%0.07
nukeB63–350%-0.00
overpassS54–180%0.04
train—33–0100%0.09
mirage—21–150%-0.02
fachwerk—11–0100%0.02
office—11–0100%0.11
sanctum—10–10%0.01
poseidon—10–10%-0.15

Across the last 100 tracked matches.

Faceit stats

Combat

329Matches
59%Win rate
1.35Avg K/D
99.8ADR
51%Headshot %

Clutches & streaks

39%1v1 clutch win
27%1v2 clutch win
12Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno4075%1.7520.7
Ancient2969%1.6220.8
Anubis2836%1.3319.8
Overpass1656%1.4020.8
Cache1258%1.3718.8
Mirage850%1.6018.8
Nuke757%1.3922.6
Dust2650%0.7611.0

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.

28.0%Headshot accuracy
36.5%Accuracy (enemy spotted)
39.1%Spray accuracy
84.1%Counter-strafing
10.2°Preaim
498msReaction time
66.2%T opening success
61.4%CT opening success
0.70Enemies flashed / flash
18.0%Flash assists
11.14HE damage / grenade
10.91Flashes / match

Recommended for you

Spend your practice time on Cache

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

38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno13–80.0435%28 Oct →
cache13–110.0523%27 Oct →
inferno10–130.0525%27 Oct →
ancient13–60.0829%26 Oct →
inferno13–100.0626%26 Oct →
cache7–13-0.0423%26 Oct →
inferno9–60.2427%25 Oct →
inferno6–90.1339%25 Oct →
nuke13–100.0724%24 Oct →
anubis7–130.0234%24 Oct →
inferno13–10.1531%24 Oct →
ancient13–90.0836%24 Oct →
inferno13–20.0634%24 Oct →
cache11–130.0118%24 Oct →
nuke14–160.0322%24 Oct →
cache3–130.0753%24 Oct →
inferno2–9-0.0670%13 Oct →
inferno13–80.0925%13 Oct →
anubis13–100.0231%11 Sept →
inferno13–30.0426%11 Sept →
cache13–10-0.0126%11 Sept →
nuke13–5-0.0223%29 Aug →
anubis16–140.1125%29 Aug →
ancient10–130.0129%29 Aug →
inferno0–7-0.0211%28 Jul →
anubis0–13-0.0532%28 Jul →
inferno13–50.0737%28 Jul →
inferno5–130.0539%28 Jul →
inferno13–90.0128%12 Jul →
cache9–00.1526%12 Jul →
ancient11–130.0731%9 Jul →
fachwerk13–30.0219%9 Jul →
anubis12–160.0324%8 Jul →
anubis13–80.0921%3 Jul →
nuke4–9-0.1238%2 Jul →
overpass13–90.0434%23 Jun →
cache13–60.0123%23 Jun →
ancient13–110.0442%22 Jun →
cache6–130.0321%22 Jun →
inferno7–130.0629%22 Jun →
train13–100.0427%18 Jun →
inferno13–110.0323%16 Jun →
inferno9–13-0.0229%16 Jun →
cache10–130.0623%16 Jun →
anubis11–130.0130%8 Jun →
nuke13–80.0820%31 May →
inferno10–13-0.0025%31 May →
inferno5–130.0218%25 May →
inferno6–130.0018%24 May →
anubis13–10.0016%24 May →
overpass13–110.0730%24 May →
anubis13–50.1025%24 May →
inferno13–60.0429%24 May →
anubis13–160.0422%24 May →
anubis11–130.0330%23 May →
inferno13–90.1226%22 May →
inferno3–130.0435%22 May →
overpass13–100.0123%22 May →
inferno15–150.0526%22 May →
inferno13–60.0743%22 May →
overpass13–50.0933%22 May →
ancient7–10.1218%22 May →
ancient13–100.0430%22 May →
inferno9–40.1246%22 May →
anubis8–13-0.0713%21 May →
mirage13–70.0212%21 May →
inferno9–40.1626%21 May →
cache13–70.1520%21 May →
cache13–70.1228%20 May →
ancient13–70.0929%20 May →
inferno12–120.0620%19 May →
overpass9–13-0.0231%19 May →
ancient10–8-0.0241%19 May →
inferno13–100.0340%19 May →
cache12–120.0726%19 May →
inferno12–120.0230%19 May →
office13–80.1140%19 May →
inferno13–80.1033%18 May →
cache4–130.0324%18 May →
nuke5–13-0.0522%30 Apr →
inferno9–20.1427%30 Apr →
inferno8–130.0319%29 Apr →
inferno12–120.0330%29 Apr →
sanctum8–80.0117%29 Apr →
poseidon2–9-0.1538%29 Apr →
mirage7–13-0.0627%29 Apr →
cache8–130.1339%29 Apr →
inferno13–70.0833%29 Apr →
ancient10–130.0832%29 Apr →
inferno13–60.1531%29 Apr →
inferno5–130.0825%29 Apr →
cache10–130.0724%29 Apr →
cache4–13-0.0843%29 Apr →
train13–80.1432%28 Apr →
train13–10.0856%28 Apr →
inferno13–90.0446%16 Apr →
inferno13–30.0124%16 Apr →
inferno13–110.0330%10 Apr →
inferno13–80.0831%10 Apr →
ancient13–100.1732%9 Apr →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.