MacSicko der MC aus Mexiko-City

MacSicko der MC aus Mexiko-City — CS2 Stats

DE76561198126835520[U:1:166569792]Steam profile ↗✓ No bans

1,996Tracked matches50%Win rate2022Tracked since
2,933Hours in CS24Hrs last 2 wks
CSDB Rating5.6 SolidSupport
Premier CS Rating19,171Top 50% of 212,133 CSDB-tracked playersPurple band · top ~11.8% of ranked players (population est.)
CSDB Leaderboard#96654 of 258977 tracked
FaceitLevel 9 · 1,703 ELOTop 20.7% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 2026 (yesterday). 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: 19,171 -5,054 20 Aug – 30 Oct · 41 days played
18,80024,359peak 24,35920 Aug30 Oct
24,707Peak Premier in tracked matches
1,703Highest Faceit ELO seen on CSDB
46Days played since 2026-08-20

Faceit ELO

  • At peak — 1,703
  • Next: Level 9 at 1,751 — 48 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5

Premier CS Rating

  • 5,188 below peak (24,359)
  • -4,636 over 30 days · declining
  • Next: Pink band at 20,000 — 829 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=15,132), 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 9 medianLevel 10 medianvs Level 10
Headshot rate58.7%48.2%50.9%above
Shot accuracy4.2%13.2%13.7%9.5% short
Kill/death ratio1.121.071.09above
Match win rate46.5%46.9%48.4%1.9% short

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMacSicko der MC aus Mexik…FACEITLevel 9 · 1,703 ELOSTANDINGTop 20.7% of rankedPREMIER19,171 · Purple bandPEAK ELO1,703csdb.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

Aim66
Positioning52
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY48–49–3Last 10048%Win rateWLWLLWWWLL

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · −1.4pp headshot accuracy · +19ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 686ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 660ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 651ms

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 (+0.8 against its own average).

Aim6.6
Utility5.2
Positioning5.2
Opening Duels3.1
Clutch4.0

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

ZywOo

Plays most like ZywOo 89% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 627ms 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

Aim6.6
Positioning5.2
Utility5.2
Mechanics6.0
Opening Duels4.4
Win Impact5.0

Composite 5.6/10 (Solid), 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+0.02
first ⅓ avg -0.02 → last ⅓ avg -0.00
Reaction time633ms−20ms
first ⅓ avg 653ms → last ⅓ avg 633ms
Headshot accuracy22.4%−0.7%
first ⅓ avg 23.1% → last ⅓ avg 22.4%

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

0.14Best match rating · 13–5 · mirage, 3 Oct →
65%Best headshot accuracy · 3–10 · inferno, 22 Aug →
406msFastest reaction time · 13–10 · mirage, 29 Aug →
13–2Biggest win · cache, 21 Oct →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

mirageBest map · 65% over 20nukeWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
infernoC207–1335%0.01
mirageS2013–765%0.01
dust2A159–660%0.00
cacheC146–843%-0.03
ancientA127–558%-0.01
nukeD81–713%-0.01
anubisC73–443%-0.01
train—22–0100%0.04
rush_001—10–10%-0.02
poseidon—10–10%0.00

Across the last 100 tracked matches.

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

Lifetime stats

82,690Lifetime kills
1.12K/D · Top 50% of Level 9 players
3,721Matches
46.5%Match win rate
58.7%Headshot % · Top 25% of Level 9 players
4.2%Shot accuracy
7,302MVPs
1,889Hours (in match)
2,553Bombs planted
1,314Bombs defused

Most-used weapons

Lifetime map wins

4,901dust2
4,088inferno
3,521nuke
2,401vertigo
1,474train
5ar_shoots
3ar_baggage
2office

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

Faceit stats

Combat

567Matches
51%Win rate
0.99Avg K/D
74.0ADR
50%Headshot %

Clutches & streaks

40%1v1 clutch win
20%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage14451%0.9914.3
Dust214260%1.0614.4
Inferno8246%0.9414.1
Nuke5848%1.1117.2
Anubis5650%0.9414.4
Ancient4335%0.9215.7
Vertigo2343%0.6712.3
Overpass1164%0.9514.4

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.

22.5%Headshot accuracy
32.7%Accuracy (enemy spotted)
33.7%Spray accuracy
77.1%Counter-strafing
9.4°Preaim
627msReaction time
47.0%T opening success
48.3%CT opening success
0.52Enemies flashed / flash
5.2%Flash assists
7.33HE damage / grenade
7.35Flashes / 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.

13% 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
ancient13–110.0220%30 Oct →
ancient1–13-0.0617%29 Oct →
inferno13–30.0825%29 Oct →
inferno9–13-0.0213%29 Oct →
dust21–13-0.0733%26 Oct →
anubis13–30.0129%26 Oct →
inferno13–90.0520%23 Oct →
mirage13–50.0522%22 Oct →
dust24–130.0214%22 Oct →
mirage5–13-0.0424%22 Oct →
dust213–8-0.0323%21 Oct →
inferno11–130.0720%21 Oct →
cache13–2-0.0315%21 Oct →
inferno13–70.0729%20 Oct →
cache13–4-0.0313%20 Oct →
mirage13–11-0.0128%20 Oct →
nuke10–13-0.0226%19 Oct →
ancient9–13-0.0315%16 Oct →
cache13–40.0926%15 Oct →
inferno6–130.0135%15 Oct →
inferno13–60.0136%15 Oct →
mirage9–13-0.0525%14 Oct →
mirage4–13-0.0611%13 Oct →
cache13–10-0.1025%13 Oct →
anubis10–13-0.0121%11 Oct →
nuke14–160.0324%11 Oct →
ancient13–8-0.0013%11 Oct →
mirage8–13-0.0117%11 Oct →
nuke7–130.0428%11 Oct →
inferno13–100.0126%10 Oct →
cache13–11-0.0124%9 Oct →
nuke11–13-0.0627%8 Oct →
anubis15–150.0017%8 Oct →
train13–50.0718%7 Oct →
train13–90.0121%7 Oct →
inferno3–13-0.0326%5 Oct →
inferno10–13-0.0030%4 Oct →
anubis13–100.0213%3 Oct →
mirage13–50.1418%3 Oct →
mirage13–5-0.009%2 Oct →
nuke1–100.0332%2 Oct →
anubis1–13-0.0435%2 Oct →
cache10–13-0.0224%1 Oct →
inferno5–130.0124%1 Oct →
cache4–13-0.0719%1 Oct →
dust26–130.0728%1 Oct →
dust213–60.0629%30 Sept →
ancient13–80.0829%26 Sept →
rush_0014–8-0.0243%25 Sept →
mirage13–50.0232%23 Sept →
mirage16–130.0412%22 Sept →
mirage13–70.1030%21 Sept →
mirage13–8-0.0123%21 Sept →
anubis2–13-0.0815%20 Sept →
cache7–13-0.0127%20 Sept →
mirage16–140.0318%20 Sept →
nuke6–13-0.0322%20 Sept →
inferno13–80.1133%15 Sept →
dust213–50.0828%15 Sept →
inferno8–13-0.0326%15 Sept →
dust26–13-0.0229%15 Sept →
dust213–5-0.0219%13 Sept →
ancient13–100.0527%13 Sept →
inferno13–7-0.0211%12 Sept →
cache13–70.0428%11 Sept →
dust213–10-0.0823%11 Sept →
mirage1–13-0.0436%11 Sept →
inferno5–13-0.0312%11 Sept →
ancient13–60.0525%7 Sept →
mirage8–130.0829%5 Sept →
cache9–13-0.0322%5 Sept →
ancient4–13-0.0636%3 Sept →
inferno1–13-0.0816%3 Sept →
inferno8–13-0.0846%1 Sept →
ancient13–7-0.0412%1 Sept →
nuke15–15-0.0331%31 Aug →
poseidon8–80.0035%31 Aug →
cache7–13-0.0411%29 Aug →
ancient8–13-0.0423%29 Aug →
mirage13–10-0.0218%29 Aug →
dust213–50.0517%28 Aug →
inferno5–13-0.0421%28 Aug →
dust213–7-0.0121%28 Aug →
dust26–13-0.0541%28 Aug →
mirage13–90.0220%26 Aug →
cache11–130.0234%26 Aug →
mirage13–100.0122%25 Aug →
anubis13–3-0.0023%24 Aug →
nuke13–6-0.0319%24 Aug →
dust213–110.0622%24 Aug →
dust213–10-0.0118%22 Aug →
ancient13–110.0327%22 Aug →
inferno11–13-0.0211%22 Aug →
cache1–13-0.1020%22 Aug →
ancient5–13-0.1014%22 Aug →
inferno3–100.0465%22 Aug →
mirage13–9-0.0214%21 Aug →
cache7–13-0.067%21 Aug →
dust210–13-0.0216%21 Aug →
mirage11–13-0.0314%20 Aug →

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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