MarKv0m

MarKv0m — CS2 Stats

RU76561199069373554[U:1:1109107826]Steam profile ↗✓ No bans

567Tracked matches62%Win rate2025Tracked since
1,350Hours in CS26Hrs last 2 wks
CSDB Rating6.7 SolidPositional Player
Premier CS Rating13,207Blue band · top ~37.9% of ranked players (population est.)
FaceitLevel 7 · 992 ELOTop 42.3% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Nov 2026 (2 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: 13,207 +979 6 Sept – 2 Nov · 17 days played
11,74313,720peak 13,7206 Sept2 Nov
Faceit ELO: 992 +0 25 Sept – 26 Sept · 2 observations
992992peak 99225 Sept26 Sept
13,720Peak Premier in tracked matches
992Highest Faceit ELO seen on CSDB
46Days played since 2026-08-30

Faceit ELO

  • At peak — 992
  • Next: Level 5 at 1,051 — 59 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-09-25
  • Level 3 first seen 2026-09-25

Premier CS Rating

  • 513 below peak (13,720)
  • +836 over 30 days · improving
  • Next: Purple band at 15,000 — 1,793 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-25
  • Light Blue band first seen 2026-09-25

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=14,595), 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 7 medianLevel 8 medianvs Level 8
Headshot rate47.3%45.7%46.8%meets
Shot accuracy0.0%12.7%13.0%12.9% short
Kill/death ratio0.941.051.060.12 short
Match win rate46.7%45.7%46.3%meets

This profile matches the typical Level 8 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMarKv0mFACEITLevel 7 · 992 ELOSTANDINGTop 42.3% of rankedPREMIER13,207 · Blue bandPEAK ELO992csdb.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

Aim77
Positioning67
Utility59

0–100 skill scores via Leetify.

Recent form

HOT58–35–7Last 10058%Win rateWWWWLWLWWW

Last 10 vs previous 10: +40pp win rate · +0.02 avg rating · +5.3pp headshot accuracy · +12ms reaction

Win rate up 40pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 592ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 580ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 574ms

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).

Aim7.7
Utility5.9
Positioning6.7
Opening Duels4.6
Clutch2.6

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

m0NESY

Plays most like m0NESY 88% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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. 578ms 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

Aim7.7
Positioning6.7
Utility5.9
Mechanics6.8
Opening Duels6.3
Win Impact9.0

Composite 6.7/10 (Solid), 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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time584ms−21ms
first ⅓ avg 605ms → last ⅓ avg 584ms
Headshot accuracy18.2%−1.0%
first ⅓ avg 19.2% → last ⅓ avg 18.2%

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.

Personal bests

0.17Best match rating · 13–5 · anubis, 16 Sept →
38%Best headshot accuracy · 13–8 · dust2, 1 Nov →
438msFastest reaction time · 13–9 · inferno, 3 Oct →
13–0Biggest win · dust2, 30 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W4Current streak
6–7In matches decided by ≤2 rounds
3Overtime games

Map breakdown

nukeBest map · 82% over 11ancientWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
dust2A2717–1063%0.03
mirageA2615–1158%0.00
infernoB178–947%0.00
nukeS119–282%0.04
anubisA85–363%0.04
ancientC52–340%0.02
cache—41–325%-0.01
vertigo—21–150%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

30,683Lifetime kills
0.94K/D
1,794Matches
46.7%Match win rate · Top 50% of Level 7 players
47.3%Headshot % · Top 50% of Level 7 players
0.0%Shot accuracy
4,181MVPs
724Hours (in match)
2,468Bombs planted
400Bombs defused

Most-used weapons

Lifetime map wins

5,097dust2
2,488inferno
1,645nuke
286train
208vertigo
122office
16ar_shoots
8cbble

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

Faceit stats

Combat

416Matches
50%Win rate
1.04Avg K/D
79.9ADR
45%Headshot %

Clutches & streaks

33%1v1 clutch win
26%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage13451%1.0414.9
Dust211351%1.0816.4
Ancient4945%0.9915.3
Inferno4854%0.9614.8
Nuke3043%1.0616.5
Anubis2544%1.0516.0
Overpass944%0.9113.3
Cache743%0.9313.9

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.

18.7%Headshot accuracy
37.1%Accuracy (enemy spotted)
40.6%Spray accuracy
80.7%Counter-strafing
9.8°Preaim
578msReaction time
57.3%T opening success
53.2%CT opening success
0.57Enemies flashed / flash
5.3%Flash assists
9.05HE damage / grenade
14.57Flashes / match

Recommended for you

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.

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–80.0418%4 Nov →
dust213–50.0424%4 Nov →
nuke13–100.0214%4 Nov →
dust213–6-0.0236%3 Nov →
anubis6–13-0.0314%2 Nov →
nuke13–30.0315%2 Nov →
ancient8–130.0324%1 Nov →
dust213–80.1038%1 Nov →
anubis13–60.0519%1 Nov →
dust213–8-0.0617%1 Nov →
ancient14–160.0015%31 Oct →
inferno7–13-0.0714%31 Oct →
inferno3–13-0.0322%31 Oct →
mirage11–13-0.0216%31 Oct →
mirage13–80.1317%30 Oct →
ancient13–9-0.0215%29 Oct →
nuke2–13-0.046%25 Oct →
inferno10–13-0.0221%24 Oct →
dust213–70.0314%24 Oct →
nuke13–100.0926%23 Oct →
cache7–13-0.038%20 Oct →
mirage10–13-0.0026%19 Oct →
inferno16–140.0214%16 Oct →
nuke13–50.0316%15 Oct →
dust213–3-0.0411%14 Oct →
inferno12–120.0426%14 Oct →
inferno13–100.0320%12 Oct →
nuke13–30.1121%12 Oct →
nuke13–90.0413%11 Oct →
mirage5–13-0.0119%11 Oct →
cache13–50.0116%10 Oct →
inferno7–13-0.0216%10 Oct →
cache12–12-0.0210%9 Oct →
cache14–16-0.008%7 Oct →
dust213–90.1017%7 Oct →
mirage13–110.0614%6 Oct →
mirage6–2-0.028%6 Oct →
inferno11–13-0.0725%6 Oct →
dust213–20.0920%5 Oct →
anubis13–10.0917%5 Oct →
mirage6–13-0.049%5 Oct →
dust211–13-0.0310%4 Oct →
anubis13–7-0.0418%4 Oct →
anubis10–130.0416%4 Oct →
dust25–13-0.0121%3 Oct →
ancient2–13-0.0314%3 Oct →
dust213–100.0023%3 Oct →
inferno13–90.0318%3 Oct →
inferno11–130.0216%3 Oct →
mirage12–120.0520%2 Oct →
mirage13–30.034%2 Oct →
dust212–120.0114%1 Oct →
dust213–10.1317%1 Oct →
mirage13–9-0.0211%30 Sept →
dust213–00.1311%30 Sept →
dust27–13-0.0129%30 Sept →
nuke13–110.0719%30 Sept →
dust211–130.0613%29 Sept →
inferno11–20.0214%29 Sept →
mirage13–10-0.0126%28 Sept →
ancient9–10.1019%27 Sept →
dust213–100.0621%27 Sept →
mirage13–10-0.0117%27 Sept →
inferno12–12-0.058%27 Sept →
dust212–120.0523%27 Sept →
dust213–60.0415%26 Sept →
mirage9–130.0018%26 Sept →
inferno13–50.0414%26 Sept →
dust27–130.0222%23 Sept →
nuke5–13-0.0018%23 Sept →
vertigo13–70.0121%23 Sept →
vertigo8–130.0211%23 Sept →
inferno13–6-0.0335%22 Sept →
dust213–90.0129%21 Sept →
inferno9–130.1121%19 Sept →
anubis13–40.0420%16 Sept →
anubis4–13-0.0319%16 Sept →
anubis13–50.1722%16 Sept →
dust213–60.0923%12 Sept →
inferno13–90.0119%12 Sept →
mirage12–12-0.0416%12 Sept →
mirage0–13-0.0514%12 Sept →
nuke13–30.017%11 Sept →
dust22–13-0.0323%11 Sept →
mirage7–13-0.0325%9 Sept →
mirage2–13-0.0032%9 Sept →
inferno13–50.0524%6 Sept →
mirage13–3-0.045%6 Sept →
nuke13–110.0725%6 Sept →
dust28–13-0.0413%6 Sept →
mirage13–10.0420%6 Sept →
mirage13–40.0113%6 Sept →
mirage13–70.0417%5 Sept →
mirage13–90.0713%4 Sept →
dust213–70.0216%3 Sept →
dust27–130.0421%3 Sept →
mirage13–50.0116%2 Sept →
dust213–110.0520%2 Sept →
mirage13–11-0.0116%1 Sept →
mirage8–13-0.0622%30 Aug →

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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