Marvos

Marvos — CS2 Stats

76561198028913986[U:1:68648258]Steam profile ↗✓ No bans

2,536Tracked matches57%Win rate2020Tracked since
CSDB Rating8.1 StrongSupport
Premier CS Rating25,946Top 10% of 212,379 CSDB-tracked playersRed band · top ~2.5% of ranked players (population est.)
CSDB Leaderboard#13846 of 259194 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Oct 2026 (yesterday). 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: 25,946 +5,839 29 Aug – 31 Oct · 28 days played
20,10725,946peak 25,94629 Aug31 Oct
25,946Peak Premier in tracked matches
28Days played since 2026-08-29

Premier CS Rating

  • At peak — 25,946
  • +1,683 over 30 days · improving
  • Next: Gold band at 30,000 — 4,054 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-08-29
  • Purple band first seen 2026-08-29

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

Share this profile

CSDB.GGMarvosFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER25,946 · Red bandcsdb.gg/stats

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Performance scores

Aim78
Positioning72
Utility78

0–100 skill scores via Leetify.

Recent form

HOT55–42–3Last 10055%Win rateWLLWWWWWLW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · −0.8pp headshot accuracy · −46ms reaction

Win rate up 20pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 553ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 15%
  • Avg reaction 556ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 15%
  • Avg reaction 579ms

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: Support — Utility contribution stands above the rest of this profile (+2.4 against its own average).

Aim7.8
Utility7.8
Positioning7.2
Opening Duels6.7
Clutch0.0

Effective flashesHigh utility contribution

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 81% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: 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

Strengths

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

T openings. 74% T opening-duel success — entries that actually open the round.

Utility. Utility score of 78 — grenade impact well above the norm.

Areas to improve

Reaction time. 582ms 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

Aim7.8
Positioning7.2
Utility7.8
Mechanics7.5
Opening Duels8.8
Win Impact7.2

Composite 8.1/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.00
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time573ms+37ms
first ⅓ avg 537ms → last ⅓ avg 573ms
Headshot accuracy14.4%−0.3%
first ⅓ avg 14.7% → last ⅓ avg 14.4%

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

0.13Best match rating · 13–7 · cache, 28 Oct →
34%Best headshot accuracy · 10–13 · inferno, 7 Oct →
375msFastest reaction time · 2–13 · anubis, 19 Sept →
13–1Biggest win · cache, 16 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
8–8In matches decided by ≤2 rounds
10Overtime games

Map breakdown

dust2Best map · 71% over 7mirageWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
cacheA2313–1057%0.01
infernoB189–950%0.00
anubisA169–756%0.02
nukeA148–657%0.04
ancientA117–464%0.01
mirageC83–538%0.02
dust2S75–271%0.02
overpass—20–20%0.02
train—11–0100%-0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (38% over 8). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

439Matches
52%Win rate
1.19Avg K/D
108.0ADR
36%Headshot %

Clutches & streaks

0%1v1 clutch win
33%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Anubis20%1.3928.0
Inferno250%1.6618.0

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.

14.1%Headshot accuracy
38.8%Accuracy (enemy spotted)
39.4%Spray accuracy
83.6%Counter-strafing
8.8°Preaim
582msReaction time
73.8%T opening success
60.6%CT opening success
0.72Enemies flashed / flash
21.7%Flash assists
11.05HE damage / grenade
10.44Flashes / 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 14.1065% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Mirage

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 8 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–90.0111%31 Oct →
ancient7–13-0.0312%31 Oct →
nuke7–130.0717%30 Oct →
cache13–100.0623%30 Oct →
ancient13–40.0010%30 Oct →
cache13–100.0914%30 Oct →
anubis13–40.0018%30 Oct →
cache13–70.1315%28 Oct →
nuke10–130.0113%28 Oct →
anubis13–90.1013%28 Oct →
inferno13–7-0.0518%28 Oct →
cache5–130.0614%26 Oct →
inferno13–80.0014%26 Oct →
nuke13–110.0016%26 Oct →
nuke8–130.057%25 Oct →
dust211–130.0614%25 Oct →
inferno5–130.0321%24 Oct →
anubis10–130.0512%24 Oct →
mirage13–80.1222%24 Oct →
cache13–60.0017%24 Oct →
nuke13–7-0.028%23 Oct →
anubis13–80.007%23 Oct →
inferno1–13-0.0523%23 Oct →
cache13–90.0520%21 Oct →
dust21–13-0.054%21 Oct →
mirage13–90.0213%21 Oct →
mirage11–130.0014%19 Oct →
mirage11–13-0.0310%19 Oct →
anubis7–13-0.0115%19 Oct →
cache16–14-0.0010%19 Oct →
nuke9–130.0419%19 Oct →
overpass9–130.0510%18 Oct →
cache13–110.0520%18 Oct →
cache1–3-0.1814%18 Oct →
ancient16–130.0810%17 Oct →
anubis13–50.0116%17 Oct →
inferno5–13-0.0917%17 Oct →
cache14–16-0.0613%17 Oct →
cache13–50.0311%16 Oct →
overpass9–13-0.0115%16 Oct →
nuke13–20.1016%16 Oct →
train13–11-0.0313%16 Oct →
inferno13–5-0.0217%16 Oct →
cache13–1-0.008%16 Oct →
mirage9–13-0.019%16 Oct →
ancient15–15-0.009%14 Oct →
mirage16–130.0213%14 Oct →
inferno13–110.037%14 Oct →
inferno8–13-0.0413%12 Oct →
cache13–90.0221%12 Oct →
anubis7–130.0518%12 Oct →
nuke13–90.0310%12 Oct →
ancient13–8-0.0213%12 Oct →
mirage2–130.0019%12 Oct →
anubis5–13-0.0218%12 Oct →
inferno12–16-0.074%9 Oct →
cache9–130.0814%9 Oct →
inferno10–13-0.0134%7 Oct →
cache8–13-0.089%7 Oct →
nuke13–90.039%7 Oct →
anubis13–100.0619%7 Oct →
mirage7–13-0.0013%5 Oct →
dust213–110.0522%5 Oct →
cache10–130.016%5 Oct →
inferno13–20.0712%5 Oct →
nuke15–150.067%5 Oct →
nuke13–50.0111%5 Oct →
ancient10–13-0.0713%30 Sept →
ancient8–13-0.019%30 Sept →
inferno13–50.0824%30 Sept →
dust213–9-0.0317%30 Sept →
dust216–140.0620%29 Sept →
inferno13–80.0713%28 Sept →
dust213–70.0625%28 Sept →
cache6–13-0.0212%28 Sept →
anubis13–70.0813%28 Sept →
cache13–100.0710%25 Sept →
anubis13–20.0715%25 Sept →
cache4–13-0.0415%25 Sept →
inferno13–90.0227%23 Sept →
inferno9–130.0217%22 Sept →
anubis6–13-0.0516%22 Sept →
ancient13–70.0617%22 Sept →
cache13–10-0.069%22 Sept →
ancient16–140.059%21 Sept →
anubis7–130.0119%21 Sept →
nuke13–80.039%21 Sept →
anubis2–13-0.023%19 Sept →
dust213–100.0114%15 Sept →
cache11–13-0.0118%15 Sept →
inferno10–130.069%15 Sept →
ancient13–70.019%11 Sept →
anubis13–80.0215%11 Sept →
ancient13–60.0512%11 Sept →
nuke11–130.1014%11 Sept →
inferno13–60.0117%11 Sept →
cache15–15-0.0217%11 Sept →
anubis13–80.0013%9 Sept →
nuke13–80.0516%9 Sept →
inferno11–130.0119%9 Sept →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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