marpa

marpa — CS2 Stats

MR76561198978656754[U:1:1018391026]Steam profile ↗✓ No bans

106Tracked matches38%Win rate2023Tracked since
725Hours in CS
CSDB Rating4.6 DevelopingPositional Player
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 6,914 -2,282 22 May – 30 Dec · 12 days played
6,91411,449peak 11,44922 May30 Dec
11,449Peak Premier in tracked matches
44Days played since 2023-04-06

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

Performance scores

Aim75
Positioning33
Utility23

0–100 skill scores via Leetify.

Recent form

COLD28–44–5Last 7736%Win rateWLLWLLTLLL

Last 10 vs previous 10: −20pp win rate · −0.04 avg rating · +3.0pp headshot accuracy · +123ms reaction

Win rate down 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

  • 2–3 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 23%
  • Avg reaction 664ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 24%
  • Avg reaction 738ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 676ms

Newest first, from the last 77 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 (+1.9 against its own average).

Aim7.5
Utility2.3
Positioning3.3
Opening Duels0.0
Clutch0.0

Strong CT-side opener

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

ropz

Plays most like ropz 92% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; 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

Positioning. Positioning trails aim by 42 points — deaths here waste a strong aim profile.

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 40% on CT to 17% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 675ms 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

Aim7.5
Positioning3.3
Utility2.3
Mechanics7.6
Opening Duels1.3
Win Impact1.0

Composite 4.6/10 (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-0.01+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time676ms+26ms
first ⅓ avg 649ms → last ⅓ avg 676ms
Headshot accuracy21.7%+2.7%
first ⅓ avg 19.0% → last ⅓ avg 21.7%

Rolling 5-match average across the last 77 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.13Best match rating · 9–4 · nuke, 16 Oct →
67%Best headshot accuracy · 3–9 · nuke, 17 Sept →
391msFastest reaction time · 9–6 · overpass, 16 Oct →
13–0Biggest win · mirage, 23 Aug →

Across the last 77 tracked matches.

Highlights

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

Map breakdown

infernoBest map · 50% over 8nukeWeakest map · 27% over 26
MapGradePlayedRecordWin rateAvg rating
nukeD267–1927%-0.04
mirageC156–940%-0.02
infernoB84–450%0.03
dust2C73–443%-0.02
ancientD62–433%-0.01
overpassD62–433%-0.09
vertigo—32–167%-0.03
train—21–150%0.02
poseidon—10–10%-0.08
transit—10–10%0.05
rooftop—10–10%-0.10
agency—11–0100%0.08

Across the last 77 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (27% over 26). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

14,260Lifetime kills
0.92K/D
937Matches
35.1%Match win rate
43.5%Headshot % · Top 50% of tracked players
15.2%Shot accuracy · Top 50% of tracked players
1,495MVPs
725Hours (in match)
369Bombs planted
105Bombs defused

Most-used weapons

Lifetime map wins

1,000nuke
481dust2
404inferno
222vertigo
218train
101lake
33ar_shoots
29safehouse

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

Faceit stats

Combat

28Matches
39%Win rate
0.84Avg K/D
72.7ADR
51%Headshot %

Clutches & streaks

0%1v1 clutch win
18%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1638%0.7912.7
Nuke425%0.9512.8
Anubis333%0.9417.0
Vertigo20%0.5610.0
Inferno2100%1.0220.0
Dust21100%1.1515.0

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.

22.0%Headshot accuracy
37.1%Accuracy (enemy spotted)
43.9%Spray accuracy
84.2%Counter-strafing
11.1°Preaim
675msReaction time
16.9%T opening success
40.5%CT opening success
0.50Enemies flashed / flash
3.4%Flash assists
5.42HE damage / grenade
5.26Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4984 — below the 0.5 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 16.8801% — below the 40% mark we flag

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.

27% win rate across 26 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–2-0.0521%5 Jul →
dust25–13-0.1033%11 Jun →
mirage5–13-0.0516%11 Jun →
mirage13–70.0026%3 Jun →
nuke1–13-0.0715%29 May →
ancient10–130.0130%27 May →
mirage15–150.0538%26 May →
overpass7–9-0.1121%29 Jan →
poseidon5–9-0.0815%29 Jan →
nuke6–13-0.0623%30 Dec →
mirage13–90.0525%29 Dec →
dust214–160.0216%18 Dec →
ancient8–13-0.0417%21 Oct →
dust211–13-0.0019%4 Oct →
nuke5–130.0038%4 Oct →
train6–130.0223%3 Oct →
dust213–8-0.0131%3 Oct →
mirage7–13-0.0225%3 Oct →
dust213–8-0.026%3 Oct →
nuke6–3-0.0311%3 Oct →
nuke13–100.0622%2 Oct →
dust213–40.0525%2 Oct →
inferno9–70.0921%2 Oct →
transit8–80.0514%2 Oct →
rooftop3–9-0.1012%2 Oct →
mirage3–7-0.036%28 Sept →
overpass4–9-0.1011%25 Sept →
nuke3–9-0.216%25 Sept →
nuke8–8-0.0211%23 Sept →
ancient11–130.0324%21 Sept →
nuke13–9-0.0217%21 Sept →
nuke3–9-0.1367%17 Sept →
inferno9–70.0523%1 Sept →
mirage5–13-0.0831%30 Aug →
mirage13–8-0.0612%25 Aug →
vertigo0–6-0.020%25 Aug →
mirage0–13-0.086%24 Aug →
mirage0–2-0.090%24 Aug →
mirage4–13-0.0117%23 Aug →
mirage13–0-0.0229%23 Aug →
nuke7–13-0.0758%23 Aug →
nuke4–13-0.0311%23 Aug →
overpass2–13-0.0637%23 Aug →
nuke8–130.0128%17 Jun →
agency13–90.089%15 Jun →
nuke9–7-0.0816%30 May →
inferno6–90.0912%30 May →
nuke5–13-0.013%27 May →
dust24–13-0.0524%27 May →
mirage7–130.0116%27 May →
nuke2–13-0.0922%27 May →
inferno13–90.0813%26 May →
nuke13–40.0720%26 May →
ancient13–4-0.010%24 May →
train13–40.0217%24 May →
nuke6–13-0.0123%23 May →
nuke8–130.0126%22 May →
nuke6–130.0520%10 May →
inferno9–70.1213%10 May →
nuke4–9-0.0838%20 Oct →
vertigo9–7-0.0024%19 Oct →
overpass1–9-0.2213%16 Oct →
nuke6–9-0.0622%16 Oct →
nuke8–8-0.0918%16 Oct →
nuke9–5-0.1117%16 Oct →
overpass9–60.0435%16 Oct →
inferno5–9-0.1427%16 Oct →
nuke8–8-0.1115%16 Oct →
nuke9–40.1322%16 Oct →
nuke3–13-0.0424%10 Oct →
ancient2–13-0.069%9 Oct →
ancient11–10.007%3 Oct →
inferno7–90.0327%7 Sept →
vertigo16–10-0.0518%18 Jun →
overpass16–6-0.0812%14 Apr →
inferno4–9-0.0814%12 Apr →
mirage16–110.0515%6 Apr →

Match data via Leetify.

Recent teammates

Milestones

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

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