MACMARRO

MACMARRO — CS2 Stats

76561199729251185[U:1:1768985457]Steam profile ↗✓ No bans

1,238Tracked matches44%Win rate2024Tracked since
CSDB Rating3.3 LearningSupport
Premier CS Rating7,133Light Blue band · top ~68.6% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Nov 2026 (3 days ago). 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: 7,133 +2,564 13 Sept – 11 Nov · 21 days played
4,4617,319peak 7,31913 Sept11 Nov
Faceit ELO: 979 +0 13 Sept – 27 Oct · 2 observations
979979peak 97913 Sept27 Oct
7,319Peak Premier in tracked matches
979Highest Faceit ELO seen on CSDB
25Days played since 2026-09-13

Faceit ELO

  • At peak — 979
  • Next: Level 5 at 1,051 — 72 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-09-13
  • Level 3 first seen 2026-09-13

Premier CS Rating

  • 186 below peak (7,319)
  • +2,018 over 30 days · improving
  • Next: Blue band at 10,000 — 2,867 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-10-27

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

Share this profile

CSDB.GGMACMARROPREMIER7,133 · Light Blue bandPEAK ELO979csdb.gg/stats

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Performance scores

Aim33
Positioning38
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY48–46–6Last 10048%Win rateWWLLWWLLLT

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · −4.5pp headshot accuracy · +44ms reaction

Win rate 0pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 717ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 10%
  • Avg reaction 735ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 12%
  • Avg reaction 713ms

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 (+1.7 against its own average).

Aim3.3
Utility4.4
Positioning3.8
Opening Duels0.0
Clutch2.6

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

iM

Plays most like iM 70% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 671ms 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

Aim3.3
Positioning3.8
Utility4.4
Mechanics5.6
Opening Duels0.7
Win Impact3.1

Composite 3.3/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time687ms+26ms
first ⅓ avg 660ms → last ⅓ avg 687ms
Headshot accuracy12.1%−0.3%
first ⅓ avg 12.4% → last ⅓ avg 12.1%

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

0.12Best match rating · 13–2 · nuke, 12 Oct →
38%Best headshot accuracy · 13–0 · cache, 24 Oct →
453msFastest reaction time · 13–8 · anubis, 8 Oct →
13–0Biggest win · cache, 24 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
5–8In matches decided by ≤2 rounds
4Overtime games

Map breakdown

cacheBest map · 67% over 12mirageWeakest map · 28% over 18
MapGradePlayedRecordWin rateAvg rating
mirageD185–1328%-0.03
nukeD155–1033%-0.02
dust2A148–657%-0.04
anubisA138–562%-0.03
cacheS128–467%-0.03
infernoA117–464%-0.03
ancientC52–340%-0.03
vertigo—42–250%-0.04
italy—20–20%-0.11
overpass—21–150%-0.04
train—22–0100%0.01
debris—10–10%-0.10
office—10–10%0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (28% over 18). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

130Matches
45%Win rate
0.70Avg K/D
56.6ADR
36%Headshot %

Clutches & streaks

33%1v1 clutch win
12%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage4740%0.679.4
Anubis2343%0.7911.3
Inferno1958%0.7410.4
Ancient1436%0.6710.1
Dust21338%0.447.0
Nuke967%0.8713.9
Train2100%1.0512.0
Cache20%0.609.0

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.

12.3%Headshot accuracy
26.2%Accuracy (enemy spotted)
34.1%Spray accuracy
75.0%Counter-strafing
10.3°Preaim
671msReaction time
27.6%T opening success
35.3%CT opening success
0.58Enemies flashed / flash
5.8%Flash assists
7.83HE damage / grenade
8.84Flashes / 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 12.3031% — below the 15% mark we flag

    Aim Training →
  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 27.5753% — below the 40% mark we flag

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.

28% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–40.0512%11 Nov →
ancient13–50.0313%11 Nov →
dust25–13-0.058%11 Nov →
cache6–13-0.118%9 Nov →
inferno13–9-0.0312%5 Nov →
cache10–2-0.0614%5 Nov →
mirage7–13-0.107%5 Nov →
nuke11–13-0.0310%5 Nov →
dust22–13-0.126%5 Nov →
vertigo8–8-0.049%5 Nov →
vertigo9–2-0.0113%5 Nov →
mirage7–13-0.0420%4 Nov →
dust28–13-0.0813%4 Nov →
mirage13–16-0.0611%4 Nov →
nuke9–7-0.037%4 Nov →
anubis13–7-0.0517%2 Nov →
nuke6–13-0.0013%2 Nov →
dust213–5-0.0814%2 Nov →
italy7–13-0.0917%2 Nov →
nuke1–9-0.1220%2 Nov →
mirage5–130.0111%31 Oct →
mirage15–15-0.0621%31 Oct →
nuke11–130.0212%31 Oct →
inferno13–10-0.036%31 Oct →
cache13–60.0318%31 Oct →
dust213–90.007%31 Oct →
italy4–13-0.124%31 Oct →
ancient11–13-0.0511%30 Oct →
nuke3–13-0.058%30 Oct →
anubis15–15-0.0710%30 Oct →
dust213–110.0018%30 Oct →
mirage15–15-0.009%29 Oct →
inferno13–11-0.0623%29 Oct →
inferno13–50.0314%29 Oct →
dust213–11-0.0118%29 Oct →
mirage13–30.0121%28 Oct →
cache4–13-0.068%27 Oct →
debris8–8-0.1024%27 Oct →
anubis13–6-0.068%27 Oct →
mirage7–130.0011%27 Oct →
nuke9–13-0.026%27 Oct →
anubis12–12-0.0316%26 Oct →
inferno9–13-0.0319%26 Oct →
dust29–13-0.0510%25 Oct →
inferno13–2-0.0023%25 Oct →
cache13–7-0.0413%25 Oct →
mirage13–10-0.0710%24 Oct →
inferno8–13-0.0713%24 Oct →
mirage10–13-0.024%24 Oct →
nuke10–13-0.1011%24 Oct →
mirage11–13-0.063%24 Oct →
cache5–13-0.082%24 Oct →
inferno6–13-0.072%24 Oct →
overpass8–20.0511%24 Oct →
cache13–00.0438%24 Oct →
cache13–7-0.056%24 Oct →
nuke6–9-0.105%24 Oct →
anubis13–10-0.090%23 Oct →
mirage11–13-0.008%23 Oct →
anubis13–100.009%23 Oct →
cache13–40.106%23 Oct →
mirage6–13-0.0410%23 Oct →
dust213–9-0.0417%22 Oct →
inferno13–80.045%22 Oct →
vertigo13–80.005%22 Oct →
vertigo4–9-0.1321%20 Oct →
cache13–60.029%20 Oct →
anubis2–7-0.0517%20 Oct →
nuke7–13-0.0213%20 Oct →
train13–6-0.049%20 Oct →
dust213–6-0.067%18 Oct →
inferno1–13-0.1011%18 Oct →
dust28–13-0.0621%16 Oct →
nuke13–5-0.0513%16 Oct →
mirage13–8-0.0211%16 Oct →
cache11–13-0.0611%15 Oct →
nuke13–90.0216%15 Oct →
anubis9–13-0.0810%15 Oct →
ancient11–13-0.0822%15 Oct →
mirage7–13-0.0317%14 Oct →
overpass5–9-0.126%14 Oct →
nuke8–13-0.0321%13 Oct →
dust25–13-0.0914%13 Oct →
inferno13–7-0.0224%13 Oct →
anubis4–13-0.074%13 Oct →
cache13–8-0.0713%13 Oct →
dust213–2-0.027%13 Oct →
mirage13–9-0.0314%13 Oct →
ancient13–10-0.0211%12 Oct →
anubis13–70.089%12 Oct →
nuke13–20.125%12 Oct →
office11–130.0123%11 Oct →
nuke13–30.0231%11 Oct →
train13–10.0714%10 Oct →
mirage3–13-0.084%10 Oct →
anubis13–100.025%10 Oct →
mirage8–7-0.014%10 Oct →
anubis13–80.0012%8 Oct →
ancient9–13-0.057%8 Oct →
anubis13–10.015%8 Oct →

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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