Marv

Marv — CS2 Stats

DE76561197960978409[U:1:712681]Steam profile ↗✓ No bans

3,684Tracked matches70%Win rate2020Tracked since
7,976Hours in CS14Hrs last 2 wks
CSDB Rating7.3 StrongPositional Player
FaceitLevel 10 · 2,236 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (26 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,236 → 2,236
+43Tracked matches · now 3,684
+6.7ppWin rate · 63.3% → 70.0%

Rating over time

Faceit ELO: 2,236 +0 5 Sept – 23 Sept · 3 observations
2,2362,236peak 2,2365 Sept23 Sept
2,236Highest Faceit ELO seen on CSDB
68Days played since 2026-01-01

Faceit ELO

  • At peak — 2,236
  • Next: 2,500 ELO at 2,500 — 264 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-05
  • Level 9 first seen 2026-09-05

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches56——
Win rate46%——
K/D1.04——
Headshot %44%——

Measured 15 Sep 2026 → 19 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,061), 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 rate45.3%50.9%
Shot accuracy16.1%13.7%
Kill/death ratio1.071.09
Match win rate47.8%48.4%

Share this profile

CSDB.GGMarvFACEITLevel 10 · 2,236 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,236csdb.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
Positioning76
Utility64

0–100 skill scores via Leetify.

Recent form

HOT60–39–1Last 10060%Win rateWLWWWWWWLW

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · −5.9pp headshot accuracy · +9ms reaction

Win rate +10pp 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 14%
  • Avg reaction 541ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 16%
  • Avg reaction 570ms

Last 20

  • 15–5 · 75% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • Avg reaction 565ms

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).

Aim7.4
Utility6.4
Positioning7.6
Opening Duels5.3
Clutch4.2

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

donk

Plays most like donk 82% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Areas to improve

Reaction time. 579ms 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
Positioning7.6
Utility6.4
Mechanics7.3
Opening Duels4.9
Win Impact10.0

Composite 7.3/10 (Strong), 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 rating0.02+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time570ms−41ms
first ⅓ avg 611ms → last ⅓ avg 570ms
Headshot accuracy18.1%−2.1%
first ⅓ avg 20.2% → last ⅓ avg 18.1%

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

0.14Best match rating · 13–7 · anubis, 22 Aug →
41%Best headshot accuracy · 13–6 · ancient, 6 Mar →
406msFastest reaction time · 13–7 · ancient, 23 May →
13–1Biggest win · anubis, 30 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
15–11In matches decided by ≤2 rounds
18Overtime games

Map breakdown

anubisBest map · 82% over 17nukeWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B2814–1450%0.00
ancientS2315–865%0.02
anubisS1714–382%0.02
cacheS97–278%0.03
nukeD82–625%-0.01
overpassB84–450%0.00
infernoC52–340%0.04
mirage—22–0100%0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

262,470Lifetime kills
1.07K/D
10,385Matches
47.8%Match win rate
45.3%Headshot %
16.1%Shot accuracy · Top 50% of Level 10 players
30,442MVPs
5,296Hours (in match)
18,528Bombs planted
3,831Bombs defused

Most-used weapons

AK-4790,363
AWP39,952
FAMAS6,625
Knife5,795
P2505,600

Lifetime map wins

22,602dust2
17,114inferno
7,038nuke
4,343cbble
4,254train
3,399vertigo
115aztec
59dust

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

Faceit stats

Combat

5,850Matches
50%Win rate
1.08Avg K/D
74.8ADR
41%Headshot %

Clutches & streaks

41%1v1 clutch win
19%1v2 clutch win
13Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Ancient56554%1.0815.7
Dust246350%1.0815.2
Anubis42654%1.0915.4
Nuke17053%1.0515.1
Mirage13937%0.9814.2
Inferno12952%1.1316.1
Overpass11647%1.1215.8
Cache5555%1.2217.1

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.

18.4%Headshot accuracy
36.1%Accuracy (enemy spotted)
37.2%Spray accuracy
83.0%Counter-strafing
10.4°Preaim
579msReaction time
42.6%T opening success
56.8%CT opening success
0.55Enemies flashed / flash
9.0%Flash assists
8.38HE damage / grenade
10.65Flashes / match

Recommended for you

Spend your practice time on Nuke

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient19–170.0017%12 Oct →
ancient9–13-0.016%10 Oct →
anubis13–80.0512%9 Oct →
dust213–50.1219%4 Oct →
ancient13–30.1315%4 Oct →
dust213–9-0.0317%26 Sept →
ancient16–130.0311%15 Sept →
dust213–90.0726%13 Sept →
cache11–130.0125%5 Sept →
dust213–100.049%2 Sept →
ancient16–14-0.0229%2 Sept →
mirage13–70.0413%30 Aug →
anubis13–1-0.0619%30 Aug →
ancient11–130.0425%30 Aug →
nuke13–9-0.0321%27 Aug →
cache14–160.0218%27 Aug →
anubis13–70.1418%22 Aug →
cache13–110.0319%20 Aug →
dust22–13-0.0831%18 Aug →
cache13–60.0423%17 Aug →
nuke6–13-0.019%14 Aug →
cache25–230.0713%7 Aug →
nuke3–13-0.0518%7 Aug →
inferno13–10.067%7 Aug →
nuke9–130.0923%4 Aug →
ancient19–170.0319%4 Aug →
ancient13–50.0419%2 Aug →
anubis13–10.0431%1 Aug →
dust212–16-0.0021%30 Jul →
anubis13–80.0826%26 Jul →
ancient7–13-0.0316%24 Jul →
cache13–40.039%24 Jul →
nuke3–13-0.0814%18 Jul →
dust213–110.0617%17 Jul →
nuke13–100.0734%17 Jul →
dust214–16-0.0133%13 Jul →
anubis13–4-0.0016%2 Jul →
ancient31–280.0017%24 Jun →
nuke6–13-0.0620%24 Jun →
dust213–70.0428%19 Jun →
nuke6–13-0.0123%15 Jun →
overpass10–13-0.0015%5 Jun →
cache16–130.0113%1 Jun →
dust29–13-0.0619%31 May →
anubis16–14-0.0611%31 May →
dust213–11-0.0120%28 May →
ancient13–70.0328%28 May →
dust213–160.0123%28 May →
dust29–130.0419%25 May →
overpass13–9-0.0019%25 May →
anubis15–15-0.0222%25 May →
ancient13–7-0.0217%23 May →
dust213–7-0.0621%19 May →
anubis13–50.0513%9 May →
overpass9–0-0.0113%9 May →
cache13–50.0116%30 Apr →
cache13–110.0319%26 Apr →
dust25–13-0.0217%21 Apr →
dust210–13-0.0411%21 Apr →
mirage13–90.0528%14 Apr →
dust213–100.0325%10 Apr →
dust214–16-0.0512%10 Apr →
ancient13–40.0421%10 Apr →
dust213–100.0320%3 Apr →
anubis10–13-0.0528%2 Apr →
overpass13–110.0427%1 Apr →
overpass14–160.0022%28 Mar →
dust213–50.0029%28 Mar →
dust211–13-0.0117%23 Mar →
ancient13–90.0517%20 Mar →
dust213–20.0713%20 Mar →
dust214–160.0119%12 Mar →
dust213–70.0130%12 Mar →
inferno11–130.0322%6 Mar →
ancient13–60.0341%6 Mar →
anubis13–40.0522%6 Mar →
ancient13–110.0525%6 Mar →
anubis13–80.0215%5 Mar →
ancient7–130.009%5 Mar →
ancient19–170.0113%1 Mar →
anubis10–130.0228%27 Feb →
dust211–13-0.0713%27 Feb →
dust213–80.0524%27 Feb →
ancient10–13-0.0331%26 Feb →
overpass9–13-0.0421%15 Feb →
anubis13–30.0114%14 Feb →
inferno10–130.0113%26 Jan →
dust29–130.0224%25 Jan →
inferno13–80.0918%24 Jan →
ancient7–13-0.0022%24 Jan →
anubis13–110.0421%22 Jan →
dust23–13-0.060%20 Jan →
anubis13–110.0019%16 Jan →
anubis12–10.0429%15 Jan →
overpass9–130.0214%8 Jan →
inferno16–190.0123%8 Jan →
ancient7–130.0922%8 Jan →
ancient11–130.0217%6 Jan →
ancient13–7-0.0323%5 Jan →
overpass13–110.0218%1 Jan →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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