mArcus

mArcus — CS2 Stats

GB76561197963485374[U:1:3219646]Steam profile ↗✓ No bans

5,592Tracked matches57%Win rate2020Tracked since
CSDB Rating7.0 StrongPositional Player
FaceitLevel 10 · 2,055 ELOTop 12.4% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

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CSDB.GGmArcusFACEITLevel 10 · 2,055 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim88
Positioning64
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY62–36–2Last 10062%Win rateWLLWWLWLWL

Last 10 vs previous 10: −20pp win rate · −0.00 avg rating · +0.0pp headshot accuracy · −41ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 34%
  • Avg reaction 430ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 29%
  • Avg reaction 455ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 29%
  • Avg reaction 475ms

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 (+1.5 against its own average).

Aim8.8
Utility5.8
Positioning6.4
Opening Duels3.9
Clutch3.4

Sharp aimer

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

NiKo

Plays most like NiKo 96% playstyle similarity

Most alike: positioning profile, 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

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

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

Aim8.8
Positioning6.4
Utility5.8
Mechanics6.5
Opening Duels4.9
Win Impact7.2

Composite 7.0/10 (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 rating0.03+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time498ms−42ms
first ⅓ avg 540ms → last ⅓ avg 498ms
Headshot accuracy28.4%−1.9%
first ⅓ avg 30.3% → last ⅓ avg 28.4%

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

0.23Best match rating · 13–3 · cache, 27 Aug →
54%Best headshot accuracy · 13–9 · vertigo, 20 Aug →
359msFastest reaction time · 13–10 · nuke, 1 Oct →
13–0Biggest win · dust2, 9 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
10–7In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 82% over 11ancientWeakest map · 44% over 9
MapGradePlayedRecordWin rateAvg rating
infernoA2113–862%0.03
nukeA1912–763%0.04
cacheB147–750%0.07
dust2A138–562%0.05
anubisS119–282%0.02
ancientC94–544%0.01
trainS64–267%0.14
vertigo—42–250%0.12
mirage—22–0100%0.14
overpass—11–0100%0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

7,556Matches
51%Win rate
1.10Avg K/D
80.2ADR
61%Headshot %

Clutches & streaks

37%1v1 clutch win
20%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Nuke51761%1.1516.3
Anubis44653%1.1215.9
Ancient42756%1.1316.7
Inferno37554%1.1116.1
Dust234746%1.0315.6
Train15455%1.0816.7
Mirage13443%0.9114.4
Overpass13259%1.1716.2

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.

28.1%Headshot accuracy
34.4%Accuracy (enemy spotted)
36.0%Spray accuracy
79.0%Counter-strafing
8.8°Preaim
480msReaction time
49.0%T opening success
50.1%CT opening success
0.56Enemies flashed / flash
6.3%Flash assists
7.85HE damage / grenade
13.99Flashes / 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.

44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–80.0340%19 Oct →
dust26–130.0239%19 Oct →
inferno10–130.0335%16 Oct →
inferno13–50.0326%15 Oct →
nuke13–11-0.0228%15 Oct →
ancient11–130.0233%15 Oct →
inferno13–9-0.0425%14 Oct →
cache7–13-0.0222%13 Oct →
ancient16–140.0228%13 Oct →
dust29–130.0118%8 Oct →
anubis13–11-0.0027%8 Oct →
inferno10–130.0125%6 Oct →
ancient13–100.0126%6 Oct →
dust216–140.0125%5 Oct →
inferno13–20.0230%5 Oct →
nuke13–20.0431%5 Oct →
anubis13–70.0134%5 Oct →
inferno14–16-0.0232%5 Oct →
anubis13–60.0233%5 Oct →
cache10–130.0229%1 Oct →
nuke13–100.0221%1 Oct →
inferno13–90.0225%1 Oct →
nuke13–80.1231%30 Sept →
dust26–13-0.0325%29 Sept →
cache7–13-0.0529%29 Sept →
train9–130.0823%24 Sept →
dust219–220.0827%24 Sept →
anubis13–70.0125%22 Sept →
nuke13–20.1735%20 Sept →
nuke13–160.0224%17 Sept →
nuke13–20.0729%13 Sept →
dust213–100.0831%10 Sept →
vertigo12–120.2128%10 Sept →
cache11–130.1333%10 Sept →
dust213–60.1434%3 Sept →
vertigo13–10.1024%3 Sept →
cache13–110.1136%3 Sept →
train13–80.0925%3 Sept →
cache13–70.0038%1 Sept →
cache13–100.0044%31 Aug →
nuke11–13-0.0240%31 Aug →
anubis13–6-0.0222%31 Aug →
cache13–160.0028%31 Aug →
train13–10.2226%27 Aug →
vertigo12–120.1334%27 Aug →
train13–50.1629%27 Aug →
cache9–20.0921%27 Aug →
cache13–30.2331%27 Aug →
nuke13–90.1931%27 Aug →
dust27–130.0428%27 Aug →
inferno5–130.1432%27 Aug →
cache13–110.2036%26 Aug →
inferno2–13-0.0727%20 Aug →
inferno9–50.1753%20 Aug →
inferno9–70.1731%20 Aug →
cache6–130.0828%20 Aug →
vertigo13–90.0354%20 Aug →
train13–70.1334%20 Aug →
dust213–50.0639%20 Aug →
ancient13–80.0324%18 Aug →
dust213–80.0529%18 Aug →
nuke13–10-0.0027%18 Aug →
mirage13–70.2228%15 Aug →
train3–130.1337%15 Aug →
dust213–50.0921%15 Aug →
nuke13–100.1738%15 Aug →
mirage13–40.0637%13 Aug →
nuke13–80.0532%11 Aug →
anubis13–70.0023%10 Aug →
inferno13–70.0021%10 Aug →
nuke2–9-0.0437%9 Aug →
cache6–130.1234%9 Aug →
inferno4–90.0148%9 Aug →
dust213–00.0820%9 Aug →
nuke2–9-0.0532%9 Aug →
anubis13–80.0732%4 Aug →
inferno13–70.1331%3 Aug →
inferno13–4-0.0133%3 Aug →
nuke13–70.0527%3 Aug →
cache13–50.1032%28 Jul →
ancient9–130.0228%20 Jul →
anubis13–70.0745%20 Jul →
ancient10–130.0227%16 Jul →
inferno8–13-0.0522%12 Jul →
ancient9–130.0050%7 Jul →
nuke13–11-0.0017%6 Jul →
ancient13–16-0.0430%30 Jun →
inferno13–70.0038%28 Jun →
ancient13–100.0116%26 Jun →
overpass13–50.0531%4 Jun →
anubis6–130.0432%1 Jun →
inferno13–11-0.0131%28 May →
dust213–80.0626%18 May →
anubis13–7-0.0231%10 May →
inferno1–13-0.0333%28 Apr →
nuke11–130.0229%21 Apr →
anubis11–130.0526%16 Apr →
nuke14–16-0.0134%12 Apr →
inferno16–140.0125%12 Apr →
nuke8–130.0528%9 Apr →

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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