Mar1en

Mar1en — CS2 Stats

KZ76561198873872731[U:1:913607003]Steam profile ↗✓ No bans

656Tracked matches63%Win rate2023Tracked since
1,591Hours in CS46Hrs last 2 wks
CSDB Rating6.7 SolidSupport
CSDB Leaderboard#24554 of 226686 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Sep 2026 (13 days ago). Ranks are recorded once per day this page is viewed.

+4Tracked matches · now 656
−7.4ppWin rate · 70.4% → 63.0%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 28 days played since 30 May 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 24,558 +7,588 1 Jun5 Sept · 8 days played
16,95224,558peak 24,5581 Jun5 Sept
24,558Peak Premier in tracked matches
28Days played since 2026-05-30

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

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=13,115), 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 8 medianLevel 9 medianvs Level 9
Headshot rate49.2%46.8%48.3%meets
Shot accuracy2.5%13.0%13.2%10.7% short
Kill/death ratio1.131.061.07above
Match win rate53.7%46.3%46.9%above

This profile matches the typical Level 9 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMar1enFACEITLevel 8STANDINGTop 31.2% of rankedcsdb.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

Aim74
Positioning58
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY513910Last 10051%Win rateLLLWWWLWTW

Last 10 vs previous 10: 0pp win rate · +0.04 avg rating · +0.1pp headshot accuracy · −45ms 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

  • 23 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 18%
  • Avg reaction 594ms

Last 10

  • 541 · 50% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 25%
  • Avg reaction 563ms

Last 20

  • 1082 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 25%
  • Avg reaction 585ms

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: SupportUtility contribution stands above the rest of this profile (+1.8 against its own average).

Aim7.4
Utility6.6
Positioning5.8
Opening Duels3.5
Clutch3.4

Effective flashes

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

NiKo

Plays most like NiKo 86% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Reaction time. 603ms 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

Aim7.4
Positioning5.8
Utility6.6
Mechanics7.4
Opening Duels3.2
Win Impact9.3

Composite 6.7/10 (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 rating0.00−0.03
first ⅓ avg 0.03 → last ⅓ avg 0.00
Reaction time600ms−54ms
first ⅓ avg 654ms → last ⅓ avg 600ms
Headshot accuracy25.7%+1.3%
first ⅓ avg 24.4% → last ⅓ avg 25.7%

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

0.22Best match rating · 13–6 · mirage, 17 Jun
56%Best headshot accuracy · 13–4 · dust2, 27 Jun
406msFastest reaction time · 5–9 · inferno, 19 Aug
13–1Biggest win · mirage, 26 Aug

Across the last 100 tracked matches.

Highlights

8Longest win streak
L3Current streak
68In matches decided by ≤2 rounds
3Overtime games

Map breakdown

mirageBest map · 61% over 28anubisWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageA28171161%0.04
dust2A2112957%0.02
infernoA148657%0.02
ancientB147750%0.04
nukeC94544%0.04
anubisD61517%0.02
vertigo4040%-0.01
overpass220100%0.08
debris1010%0.08
train1010%-0.06

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

39,650Lifetime kills
1.13K/D · Top 50% of Level 8 players
2,020Matches
53.7%Match win rate · Top 10% of Level 8 players
49.2%Headshot % · Top 50% of Level 8 players
2.5%Shot accuracy
6,156MVPs
776Hours (in match)
2,211Bombs planted
592Bombs defused

Most-used weapons

Lifetime map wins

2,861dust2
2,334inferno
2,138nuke
1,210vertigo
416train
108cbble
100office
64lake

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

Faceit stats

Combat

616Matches
51%Win rate
1.19Avg K/D
85.4ADR
51%Headshot %

Clutches & streaks

37%1v1 clutch win
24%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage14749%1.1216.3
Ancient14652%1.2418.0
Dust29446%1.1216.6
Nuke7657%1.2218.7
Anubis6958%1.2318.2
Inferno2839%1.2618.8
Cache2458%1.3017.0
Overpass1650%1.3018.1

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.

21.6%Headshot accuracy
34.1%Accuracy (enemy spotted)
31.5%Spray accuracy
83.3%Counter-strafing
8.6°Preaim
603msReaction time
39.0%T opening success
46.9%CT opening success
0.72Enemies flashed / flash
5.4%Flash assists
8.55HE damage / grenade
13.82Flashes / 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 39.0344% — below the 40% mark we flag

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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage7–130.0111%10 Sept
mirage11–13-0.0515%7 Sept
mirage8–130.0320%7 Sept
mirage13–60.1122%27 Aug
inferno9–50.0924%26 Aug
mirage13–1-0.0122%26 Aug
inferno5–9-0.0227%19 Aug
inferno9–60.0927%19 Aug
nuke12–120.1132%13 Aug
inferno9–40.1053%13 Aug
mirage13–70.1827%13 Aug
mirage7–13-0.0426%13 Aug
vertigo4–90.0241%13 Aug
inferno2–90.0124%13 Aug
debris8–80.0852%12 Aug
dust213–1-0.0325%12 Aug
mirage13–8-0.0813%12 Aug
ancient13–2-0.0329%12 Aug
ancient1–13-0.070%12 Aug
mirage13–7-0.0117%12 Aug
dust213–60.0526%9 Aug
dust213–30.0523%9 Aug
inferno8–80.0129%8 Aug
inferno1–9-0.1429%8 Aug
mirage13–80.0629%4 Aug
vertigo7–9-0.0236%1 Aug
ancient13–8-0.0121%31 Jul
dust213–3-0.0832%31 Jul
mirage13–10-0.0424%31 Jul
dust29–13-0.0322%28 Jul
dust216–14-0.0714%28 Jul
nuke4–9-0.1744%27 Jul
mirage13–11-0.0212%22 Jul
nuke8–80.1214%22 Jul
mirage10–130.0121%21 Jul
dust211–130.0820%21 Jul
train5–13-0.0611%21 Jul
ancient12–12-0.0134%21 Jul
mirage13–3-0.0115%8 Jul
dust212–12-0.0019%8 Jul
nuke5–9-0.0022%2 Jul
inferno3–9-0.1413%2 Jul
overpass9–20.0726%1 Jul
ancient4–120.0730%27 Jun
dust213–60.0938%27 Jun
dust213–40.1256%27 Jun
dust213–30.1822%27 Jun
ancient11–13-0.0033%27 Jun
ancient11–130.1226%27 Jun
mirage13–80.1439%27 Jun
dust213–6-0.0322%20 Jun
mirage13–90.0413%20 Jun
mirage2–90.1139%17 Jun
nuke13–30.0616%17 Jun
nuke10–130.0220%17 Jun
ancient11–130.0423%17 Jun
ancient13–10.1129%17 Jun
ancient16–130.0425%17 Jun
ancient5–130.1132%17 Jun
mirage4–130.0115%17 Jun
mirage13–20.0710%17 Jun
mirage13–60.2222%17 Jun
overpass13–80.1027%17 Jun
dust210–130.0630%14 Jun
inferno13–60.1329%14 Jun
anubis13–70.0426%14 Jun
mirage13–90.0729%14 Jun
dust213–30.1250%14 Jun
ancient13–30.0733%14 Jun
mirage13–20.1719%14 Jun
mirage13–60.0825%14 Jun
mirage13–40.0628%14 Jun
anubis12–120.0522%14 Jun
vertigo7–9-0.0814%13 Jun
dust26–130.0133%13 Jun
nuke13–90.0937%13 Jun
inferno13–70.0020%13 Jun
inferno9–70.0926%6 Jun
mirage3–13-0.0211%6 Jun
inferno13–11-0.0318%3 Jun
dust213–110.0122%3 Jun
anubis7–13-0.0411%3 Jun
inferno8–8-0.0211%1 Jun
dust22–13-0.0322%1 Jun
mirage7–13-0.0415%1 Jun
dust210–13-0.0330%1 Jun
anubis15–150.0719%1 Jun
nuke13–110.0032%1 Jun
inferno13–70.0933%1 Jun
vertigo7–130.0425%30 May
nuke13–50.1019%30 May
mirage9–130.0018%30 May
dust24–13-0.0231%30 May
ancient13–70.0623%30 May
anubis12–120.0323%30 May
dust29–13-0.0028%30 May
mirage11–130.0735%30 May
ancient3–00.0338%30 May
dust213–90.0425%30 May
anubis2–13-0.0611%30 May

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 →