Mackao

Mackao — CS2 Stats

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

666Tracked matches55%Win rate2025Tracked since
741Hours in CS
CSDB Rating5.5 SolidPositional Player
Premier CS Rating16,119Purple band · top ~23.9% of ranked players (population est.)
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Nov 2026 (4 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: 16,119 +46 8 Sept – 1 Nov · 19 days played
15,60918,384peak 18,3848 Sept1 Nov
18,585Peak Premier in tracked matches
1,342Highest Faceit ELO seen on CSDB
36Days played since 2026-09-08

Premier CS Rating

  • 2,265 below peak (18,384)
  • +152 over 30 days · steady
  • Next: Pink band at 20,000 — 3,881 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. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=14,595), 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 7 medianLevel 8 medianvs Level 8
Headshot rate37.0%45.7%46.8%9.8% short
Shot accuracy8.5%12.7%13.0%4.5% short
Kill/death ratio0.851.051.060.22 short
Match win rate35.2%45.7%46.3%11.1% short

This profile sits below the typical Level 8 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMackaoFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER16,119 · Purple bandPEAK ELO1,342csdb.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

Aim58
Positioning62
Utility38

0–100 skill scores via Leetify.

Recent form

COLD45–47–8Last 10045%Win rateTLLWLLWLLW

Last 10 vs previous 10: −40pp win rate · +0.00 avg rating · +1.5pp headshot accuracy · −35ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 512ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 531ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 548ms

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 (+2.5 against its own average).

Aim5.8
Utility3.8
Positioning6.2
Opening Duels2.7
Clutch2.2

Limited utility dependence

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

jL

Plays most like jL 83% 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. 565ms 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

Aim5.8
Positioning6.2
Utility3.8
Mechanics5.5
Opening Duels4.4
Win Impact6.7

Composite 5.5/10 (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-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time565ms+6ms
first ⅓ avg 560ms → last ⅓ avg 565ms
Headshot accuracy19.2%−2.0%
first ⅓ avg 21.2% → last ⅓ avg 19.2%

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

0.38Best match rating · 9–0 · inferno, 11 Oct →
40%Best headshot accuracy · 9–6 · inferno, 6 Oct →
414msFastest reaction time · 13–9 · inferno, 21 Oct →
13–0Biggest win · anubis, 5 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–10In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 67% over 12cacheWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
infernoB2814–1450%0.01
dust2C198–1142%-0.02
nukeB147–750%-0.00
anubisS128–467%0.00
mirageD93–633%-0.01
ancientC73–443%-0.02
cacheD71–614%-0.01
office—10–10%-0.03
overpass—10–10%-0.07
poseidon—10–10%-0.05
train—11–0100%0.10

Across the last 100 tracked matches.

Lifetime stats

43,650Lifetime kills
0.85K/D
1,921Matches
35.2%Match win rate
37.0%Headshot %
8.5%Shot accuracy
3,759MVPs
741Hours (in match)
1,559Bombs planted
407Bombs defused

Most-used weapons

AK-4716,016
AWP6,369
P901,455
MP71,246
Knife493

Lifetime map wins

2,694dust2
1,810inferno
1,586nuke
388train
376vertigo
220office
131italy
100aztec

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

Faceit stats

Combat

50Matches
62%Win rate
1.03Avg K/D
77.5ADR
52%Headshot %

Clutches & streaks

31%1v1 clutch win
34%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno1155%0.8514.1
Anubis967%1.1617.0
Dust2967%0.9915.4
Ancient757%1.1119.3
Nuke771%1.1716.6
Mirage667%1.0014.7
Cache10%0.8612.0

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.

19.3%Headshot accuracy
31.4%Accuracy (enemy spotted)
34.3%Spray accuracy
74.9%Counter-strafing
11.3°Preaim
565msReaction time
49.5%T opening success
45.9%CT opening success
0.62Enemies flashed / flash
6.9%Flash assists
6.46HE damage / grenade
4.13Flashes / match

Recommended for you

Spend your practice time on Cache

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno15–150.0213%1 Nov →
office7–13-0.0329%28 Oct →
mirage11–130.0532%28 Oct →
ancient13–6-0.0016%28 Oct →
dust25–13-0.0218%24 Oct →
nuke7–13-0.0328%24 Oct →
dust213–11-0.0513%23 Oct →
dust210–13-0.0321%22 Oct →
anubis10–13-0.0414%22 Oct →
nuke13–110.0221%22 Oct →
nuke13–9-0.0121%22 Oct →
inferno13–9-0.0217%21 Oct →
anubis13–60.0013%21 Oct →
nuke13–8-0.0321%21 Oct →
inferno5–9-0.0320%21 Oct →
inferno8–80.1021%21 Oct →
dust213–8-0.0116%21 Oct →
anubis13–2-0.0121%20 Oct →
mirage13–6-0.0610%20 Oct →
inferno9–13-0.0331%20 Oct →
inferno4–13-0.0218%20 Oct →
inferno8–80.0115%19 Oct →
inferno16–140.0318%19 Oct →
nuke11–130.0326%19 Oct →
cache8–13-0.0321%19 Oct →
dust213–9-0.0417%18 Oct →
cache13–10-0.0521%18 Oct →
anubis13–9-0.0712%18 Oct →
nuke13–80.0326%18 Oct →
mirage6–13-0.0617%17 Oct →
overpass7–13-0.0711%17 Oct →
inferno13–70.0417%17 Oct →
dust29–130.0420%16 Oct →
inferno16–14-0.0210%15 Oct →
mirage13–20.0717%15 Oct →
anubis13–110.0715%15 Oct →
inferno13–20.0410%15 Oct →
inferno7–9-0.053%15 Oct →
inferno9–40.0926%14 Oct →
ancient16–120.0019%13 Oct →
inferno14–16-0.049%12 Oct →
nuke13–110.0521%11 Oct →
dust213–3-0.0522%11 Oct →
poseidon6–9-0.0532%11 Oct →
inferno9–00.3814%11 Oct →
mirage13–100.0317%10 Oct →
anubis11–130.0017%8 Oct →
anubis12–12-0.0316%8 Oct →
mirage12–120.0337%8 Oct →
mirage10–13-0.0518%7 Oct →
nuke13–90.0112%7 Oct →
train13–100.1016%7 Oct →
inferno9–60.0240%6 Oct →
inferno9–3-0.0132%6 Oct →
inferno9–40.0610%6 Oct →
anubis13–0-0.0119%5 Oct →
dust25–13-0.0530%5 Oct →
nuke8–13-0.0419%4 Oct →
cache6–13-0.0215%2 Oct →
ancient5–13-0.0316%2 Oct →
inferno7–13-0.0217%2 Oct →
dust213–60.0122%1 Oct →
inferno12–120.0116%1 Oct →
inferno13–10-0.0517%1 Oct →
ancient12–16-0.0915%1 Oct →
anubis13–9-0.0420%1 Oct →
dust211–13-0.0725%1 Oct →
inferno13–9-0.0426%30 Sept →
ancient10–13-0.0518%30 Sept →
inferno13–10-0.0124%29 Sept →
dust26–13-0.0426%28 Sept →
dust213–110.0221%28 Sept →
nuke15–150.0218%28 Sept →
dust210–13-0.0514%28 Sept →
nuke14–160.0032%28 Sept →
dust23–9-0.0814%28 Sept →
mirage7–13-0.0421%28 Sept →
nuke6–13-0.0012%27 Sept →
inferno2–9-0.217%27 Sept →
dust29–130.0218%23 Sept →
cache5–13-0.0328%23 Sept →
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 →

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 →

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