Mackao

Mackao — CS2 Stats

BE76561198315060083[U:1:354794355]Steam profile ↗✓ No bans

575Tracked matches48%Win rate2025Tracked since
657Hours in CS
CSDB Rating5.0 DevelopingPositional Player
Premier CS Rating18,008Purple band · top ~16.4% of ranked players (population est.)
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 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.

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. 34 days played since 10 Aug 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 18,008 +2,458 28 Aug20 Sept · 13 days played
15,55018,384peak 18,38428 Aug20 Sept
18,585Peak Premier in tracked matches
34Days played since 2026-08-10

Premier CS Rating

  • 376 below peak (18,384)
  • +2,458 over 30 days · improving
  • Next: Pink band at 20,000 1,992 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-08
  • Blue band first seen 2026-09-08

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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate35.2%44.3%46.9%11.8% short
Shot accuracy9.3%11.8%13.0%3.6% short
Kill/death ratio0.861.031.080.22 short
Match win rate34.2%45.2%46.7%12.4% short

This profile sits below the typical Pink band player on every metric we can compare.

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

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CSDB.GGMackaoPREMIER18,008 · Purple bandcsdb.gg/stats

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Performance scores

Aim65
Positioning54
Utility36

0–100 skill scores via Leetify.

Recent form

COLD46459Last 10046%Win rateLWTLLLLWWL

Last 10 vs previous 10: −10pp win rate · +0.00 avg rating · +0.2pp headshot accuracy · +73ms 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

  • 131 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 591ms

Last 10

  • 361 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 561ms

Last 20

  • 7121 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 525ms

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 (+2.3 against its own average).

Aim6.5
Utility3.6
Positioning5.4
Opening Duels1.0
Clutch2.6

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

sh1ro

Plays most like sh1ro 88% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim6.5
Positioning5.4
Utility3.6
Mechanics5.1
Opening Duels2.4
Win Impact4.4

Composite 5.0/10 (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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time522ms−34ms
first ⅓ avg 556ms → last ⅓ avg 522ms
Headshot accuracy20.2%−0.7%
first ⅓ avg 20.9% → last ⅓ avg 20.2%

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

0.24Best match rating · 13–9 · dust2, 2 Sept
40%Best headshot accuracy · 5–2 · inferno, 17 Aug
375msFastest reaction time · 13–8 · nuke, 7 Sept
13–0Biggest win · anubis, 12 Sept

Across the last 100 tracked matches.

Highlights

6Longest win streak
88In matches decided by ≤2 rounds
2Overtime games

Map breakdown

dust2Best map · 69% over 16ancientWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
infernoC2281436%0.01
dust2S1611569%0.03
nukeC167944%-0.00
mirageC104640%-0.02
anubisA95456%0.02
cacheC83538%-0.01
ancientD72529%0.00
vertigoA74357%0.04
train32167%-0.02
overpass2020%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

40,450Lifetime kills
0.86K/D
1,785Matches
34.2%Match win rate
35.2%Headshot %
9.3%Shot accuracy
3,402MVPs
657Hours (in match)
1,419Bombs planted
370Bombs defused

Most-used weapons

Lifetime map wins

2,433dust2
1,491inferno
1,422nuke
375train
367vertigo
213office
131italy
100aztec

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

Faceit stats

Combat

10Matches
60%Win rate
1.24Avg K/D
81.5ADR
57%Headshot %

Clutches & streaks

33%1v1 clutch win
50%1v2 clutch win
3Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage250%0.7714.0
Anubis250%1.2514.0
Inferno2100%1.5418.0
Ancient250%1.0918.5
Dust210%0.9518.0
Nuke1100%2.1415.0

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.

20.0%Headshot accuracy
32.4%Accuracy (enemy spotted)
35.7%Spray accuracy
73.0%Counter-strafing
10.8°Preaim
529msReaction time
45.6%T opening success
33.8%CT opening success
0.54Enemies flashed / flash
2.5%Flash assists
7.03HE damage / grenade
5.34Flashes / 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. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 33.8472% — below the 40% mark we flag

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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
cache6–130.0631%21 Sept
dust213–8-0.0319%20 Sept
ancient15–15-0.0119%18 Sept
inferno8–13-0.0521%18 Sept
cache10–13-0.0513%18 Sept
anubis8–130.1020%17 Sept
mirage11–13-0.0323%16 Sept
ancient13–70.0231%16 Sept
anubis13–60.0822%16 Sept
inferno9–130.0120%15 Sept
nuke7–13-0.0422%15 Sept
inferno6–90.0123%15 Sept
inferno13–40.0926%15 Sept
dust214–160.0519%14 Sept
nuke13–9-0.0530%14 Sept
dust28–130.0431%14 Sept
cache11–130.0322%14 Sept
anubis13–6-0.0310%14 Sept
dust213–7-0.0320%14 Sept
nuke4–90.0015%13 Sept
inferno9–50.1528%13 Sept
nuke9–13-0.0023%12 Sept
anubis13–5-0.0221%12 Sept
anubis13–00.0311%12 Sept
dust213–10-0.0510%12 Sept
mirage13–10-0.0313%12 Sept
cache12–12-0.0220%12 Sept
mirage13–30.0120%12 Sept
nuke8–130.0318%12 Sept
overpass8–130.0322%12 Sept
mirage12–12-0.0013%11 Sept
dust212–7-0.0122%11 Sept
inferno6–13-0.079%11 Sept
inferno13–7-0.0411%9 Sept
nuke13–20.0110%9 Sept
inferno13–6-0.0613%9 Sept
inferno8–8-0.0018%9 Sept
nuke6–13-0.0626%9 Sept
anubis3–13-0.1013%9 Sept
dust27–130.0622%8 Sept
nuke13–8-0.0224%7 Sept
dust210–13-0.0119%7 Sept
cache13–6-0.0228%7 Sept
dust213–30.0325%7 Sept
inferno8–8-0.0219%6 Sept
inferno9–70.1426%6 Sept
dust213–8-0.0115%6 Sept
nuke8–13-0.0116%6 Sept
vertigo13–11-0.0310%6 Sept
nuke6–130.0630%5 Sept
cache13–11-0.0514%4 Sept
dust213–6-0.067%4 Sept
inferno3–13-0.0719%4 Sept
dust213–90.0425%3 Sept
inferno8–130.1016%3 Sept
dust213–90.2431%2 Sept
dust213–80.076%28 Aug
inferno8–80.1227%28 Aug
inferno6–13-0.0419%27 Aug
mirage12–12-0.0415%27 Aug
ancient9–130.0219%26 Aug
mirage3–13-0.0418%26 Aug
ancient11–13-0.038%25 Aug
cache7–13-0.0817%24 Aug
train3–13-0.104%24 Aug
inferno13–40.0320%24 Aug
cache13–90.0515%24 Aug
vertigo13–90.0124%23 Aug
nuke13–20.0329%23 Aug
nuke13–110.0119%23 Aug
nuke13–110.0029%23 Aug
nuke9–13-0.0418%21 Aug
anubis8–130.0415%21 Aug
dust213–60.1021%21 Aug
anubis10–130.0530%21 Aug
mirage13–11-0.0418%20 Aug
inferno1–12-0.0122%20 Aug
mirage13–100.1020%19 Aug
nuke13–80.0318%19 Aug
inferno7–9-0.0214%19 Aug
ancient11–13-0.0219%17 Aug
mirage6–13-0.0522%17 Aug
inferno5–2-0.0440%17 Aug
ancient9–13-0.0315%15 Aug
vertigo13–11-0.0113%15 Aug
anubis13–110.0113%15 Aug
inferno9–13-0.0023%15 Aug
train13–9-0.0223%15 Aug
nuke12–120.0432%15 Aug
inferno11–13-0.027%14 Aug
dust28–13-0.0111%14 Aug
vertigo10–13-0.0121%14 Aug
vertigo11–10.1026%13 Aug
ancient13–100.0721%12 Aug
vertigo3–70.2022%12 Aug
train13–60.0734%12 Aug
inferno13–100.0915%11 Aug
mirage1–11-0.0420%11 Aug
overpass12–12-0.0617%10 Aug
vertigo9–110.0518%10 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 →