Starvin Marvin

Starvin Marvin — CS2 Stats

76561199236235819[U:1:1275970091]Steam profile ↗✓ No bans

651Tracked matches37%Win rate2022Tracked since
CSDB Rating5.4 DevelopingPositional Player
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Sep 2026 (13 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 651 tracked matches. Play, then come back: the next observation lands here.

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. 63 days played since 20 Aug 2025. 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: 16,559 -1,926 20 Aug4 Jul · 28 days played
16,27320,009peak 20,00920 Aug4 Jul
20,111Peak Premier in tracked matches
63Days played since 2025-08-20

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

Share this profile

CSDB.GGStarvin MarvinFACEITLevel 5STANDINGTop 67.6% 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
Positioning56
Utility28

0–100 skill scores via Leetify.

Recent form

COLD33616Last 10033%Win rateLWWLLLWLLL

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · +2.6pp headshot accuracy · +6ms 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

  • 23 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 20%
  • Avg reaction 633ms

Last 10

  • 37 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 22%
  • Avg reaction 617ms

Last 20

  • 5123 · 25% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 614ms

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 PlayerPositioning stands above the rest of this profile (+1 against its own average).

Aim7.4
Utility2.8
Positioning5.6
Opening Duels5.5

Limited utility dependence

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 92% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower positioning profile; lower 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

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 57% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 610ms 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
Positioning5.6
Utility2.8
Mechanics7.8
Opening Duels4.3
Win Impact0.7

Composite 5.4/10 (Developing), 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 rating-0.00−0.03
first ⅓ avg 0.03 → last ⅓ avg -0.00
Reaction time618ms−1ms
first ⅓ avg 619ms → last ⅓ avg 618ms
Headshot accuracy20.4%−0.5%
first ⅓ avg 20.9% → last ⅓ avg 20.4%

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

0.16Best match rating · 13–8 · train, 21 Aug
52%Best headshot accuracy · 8–13 · nuke, 17 Feb
453msFastest reaction time · 13–5 · ancient, 2 Apr
13–3Biggest win · mirage, 5 May

Across the last 100 tracked matches.

Highlights

5Longest win streak
76In matches decided by ≤2 rounds
9Overtime games

Map breakdown

overpassBest map · 40% over 5infernoWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
mirageD38122632%0.01
ancientC1661038%0.03
nukeC135838%0.02
infernoD81713%0.01
dust2D62433%0.02
vertigoD61517%-0.00
overpassC52340%0.05
anubis42250%0.03
train42250%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

98Matches
49%Win rate
1.67Avg K/D
ADR
52%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
5Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage4450%1.5621.6
Vertigo1547%1.7424.9
Anubis1250%1.7819.1
Nuke1136%1.7821.8
Ancient956%1.7122.4
Inferno475%2.4427.0
Overpass250%1.3017.0
Dust210%0.5414.0

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.

21.2%Headshot accuracy
33.2%Accuracy (enemy spotted)
31.9%Spray accuracy
85.1%Counter-strafing
8.4°Preaim
610msReaction time
37.3%T opening success
57.0%CT opening success
0.52Enemies flashed / flash
4.4%Flash assists
5.52HE damage / grenade
2.81Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.8146 — below the 4 mark we flag

    Grenade Lineups
  2. 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 37.2941% — below the 40% mark we flag

Spend your practice time on Inferno

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

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust28–130.0417%18 Jul
dust213–100.0215%18 Jul
ancient13–110.0720%4 Jul
nuke2–13-0.0331%21 Jun
mirage11–130.0919%10 Jun
mirage8–13-0.0310%5 Jun
vertigo13–7-0.0717%4 Jun
vertigo5–130.0530%4 Jun
vertigo4–13-0.0648%4 Jun
mirage3–13-0.059%4 Jun
mirage4–13-0.0621%3 Jun
vertigo6–13-0.040%1 Jun
dust212–120.0323%1 Jun
mirage12–12-0.0523%1 Jun
nuke13–80.0120%26 May
mirage13–100.0319%26 May
mirage12–12-0.0127%26 May
mirage9–130.0124%25 May
mirage3–13-0.056%15 May
mirage5–13-0.0827%14 May
inferno9–13-0.0626%13 May
mirage10–130.0122%13 May
mirage13–3-0.0120%5 May
mirage13–6-0.0022%3 May
mirage10–130.0324%3 Apr
nuke13–10-0.0122%3 Apr
mirage13–110.0421%2 Apr
ancient13–50.1223%2 Apr
mirage14–16-0.0219%2 Apr
mirage14–160.1030%23 Mar
dust28–13-0.0111%21 Mar
nuke9–13-0.0521%7 Mar
ancient8–13-0.087%22 Feb
nuke9–20.1333%20 Feb
nuke8–13-0.0552%17 Feb
mirage9–130.1016%17 Feb
ancient6–130.0424%14 Feb
inferno9–130.0228%10 Feb
anubis4–130.0214%10 Feb
anubis13–60.0515%2 Feb
ancient10–130.0436%2 Jan
mirage12–16-0.0129%2 Jan
mirage9–13-0.0112%31 Dec
mirage6–130.0124%30 Dec
mirage13–60.0423%30 Dec
mirage13–90.0213%28 Dec
mirage10–130.0735%28 Dec
ancient14–160.1222%27 Dec
nuke11–130.0625%27 Dec
nuke7–130.0125%26 Dec
anubis4–130.0029%24 Dec
anubis13–60.0513%23 Dec
mirage13–110.0517%23 Dec
ancient13–60.0932%22 Dec
train13–90.0129%22 Dec
ancient4–13-0.0333%21 Dec
vertigo10–130.0234%20 Dec
dust213–50.0727%19 Dec
inferno8–13-0.0114%15 Dec
ancient13–80.1220%13 Dec
nuke12–120.1426%11 Dec
ancient13–160.0222%11 Dec
mirage9–130.0533%10 Dec
nuke13–7-0.0029%9 Dec
dust24–13-0.0424%9 Dec
mirage7–13-0.0318%8 Dec
mirage13–4-0.0332%8 Dec
overpass6–13-0.0030%8 Dec
ancient2–13-0.0417%8 Dec
ancient8–13-0.0330%8 Dec
mirage13–80.0421%7 Dec
inferno13–160.0127%7 Dec
overpass5–130.1023%5 Dec
mirage13–100.0113%4 Dec
ancient13–11-0.0218%1 Dec
train3–13-0.0135%29 Nov
overpass13–90.0422%28 Nov
ancient15–150.0320%28 Nov
train2–70.0114%3 Nov
mirage2–13-0.0429%2 Nov
vertigo12–120.1024%25 Oct
mirage4–13-0.0519%24 Oct
nuke13–110.0621%24 Oct
mirage10–130.0625%22 Oct
nuke8–130.0921%9 Oct
mirage6–130.0636%7 Oct
ancient6–130.0231%15 Sept
inferno12–16-0.016%25 Aug
overpass13–30.0320%25 Aug
inferno9–130.0331%24 Aug
overpass9–120.0924%22 Aug
mirage16–120.0216%22 Aug
inferno13–70.1113%22 Aug
ancient13–110.0128%22 Aug
mirage13–110.1115%21 Aug
train13–80.1613%21 Aug
mirage4–13-0.0411%21 Aug
mirage11–13-0.0115%20 Aug
nuke1–13-0.0513%20 Aug
inferno8–130.0014%20 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 →