mak10zo

mak10zo — CS2 Stats

76561197961523742[U:1:1258014]Steam profile ↗✓ No bans

2,561Tracked matches47%Win rate2020Tracked since
CSDB Rating4.8 DevelopingAll-Rounder
FaceitLevel 8 · 1,673 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Sep 2026 (10 days ago). Ranks are recorded once per day this page is viewed.

+341Faceit ELO · 1,332 → 1,673

Rating over time

Premier CS Rating: 19,428 +2,361 4 Nov – 21 Dec · 22 days played
17,06722,019peak 22,0194 Nov21 Dec
22,054Peak Premier in tracked matches
1,673Highest Faceit ELO seen on CSDB
40Days played since 2025-10-08

Faceit ELO

  • At peak — 1,673
  • Next: Level 9 at 1,751 — 78 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-19
  • Level 7 first seen 2026-09-19

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.

Share this profile

CSDB.GGmak10zoFACEITLevel 8 · 1,673 ELOSTANDINGTop 31.2% of rankedPEAK ELO1,673csdb.gg/stats

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Performance scores

Aim59
Positioning42
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY52–47–1Last 10052%Win rateLWLLWWLWWL

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating · −1.6pp headshot accuracy · −46ms reaction

Win rate up 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 569ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 588ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 611ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim5.9
Utility4.2
Positioning4.2
Opening Duels3.0
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

ZywOo

Plays most like ZywOo 91% 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. 638ms 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

Aim5.9
Positioning4.2
Utility4.2
Mechanics8.2
Opening Duels1.5
Win Impact3.9

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time617ms+10ms
first ⅓ avg 608ms → last ⅓ avg 617ms
Headshot accuracy20.4%+0.6%
first ⅓ avg 19.8% → last ⅓ avg 20.4%

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

0.11Best match rating · 10–13 · nuke, 24 Nov →
36%Best headshot accuracy · 6–13 · inferno, 2 Dec →
477msFastest reaction time · 13–4 · dust2, 9 Nov →
11–1Biggest win · dust2, 26 Nov →

Across the last 100 tracked matches.

Highlights

7Longest win streak
9–8In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 71% over 7trainWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
dust2C2812–1643%-0.01
infernoB2713–1448%-0.02
nukeA1610–663%-0.01
overpassA127–558%-0.01
ancientS75–271%-0.01
trainC52–340%-0.04
anubis—22–0100%-0.02
vertigo—10–10%-0.05
rooftop—11–0100%-0.02
mirage—10–10%-0.02

Across the last 100 tracked matches.

Faceit stats

Combat

2,510Matches
49%Win rate
0.94Avg K/D
71.2ADR
44%Headshot %

Clutches & streaks

31%1v1 clutch win
14%1v2 clutch win
14Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Inferno24154%0.9814.3
Dust221553%0.9614.4
Nuke12451%0.9714.8
Anubis12153%0.9714.6
Ancient6042%0.8913.6
Train4445%0.9213.2
Overpass3741%0.8914.4
Mirage138%0.7811.9

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.

21.1%Headshot accuracy
30.0%Accuracy (enemy spotted)
31.7%Spray accuracy
86.7%Counter-strafing
11.3°Preaim
638msReaction time
30.7%T opening success
41.4%CT opening success
0.51Enemies flashed / flash
7.7%Flash assists
10.51HE damage / grenade
3.89Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.8949 — below the 4 mark we flag

    Grenade Lineups →
  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 30.7332% — below the 40% mark we flag

Spend your practice time on Train

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno3–130.0421%14 Aug →
anubis2–0-0.080%14 Aug →
dust213–16-0.0032%22 May →
dust27–130.0318%7 May →
nuke13–11-0.0414%7 May →
anubis19–150.0423%7 Feb →
inferno8–13-0.0416%21 Dec →
dust213–9-0.0826%20 Dec →
dust213–70.0722%16 Dec →
nuke11–130.0126%16 Dec →
train13–16-0.0423%13 Dec →
inferno13–10-0.0128%12 Dec →
nuke7–13-0.0415%4 Dec →
dust23–13-0.049%4 Dec →
inferno13–40.0532%4 Dec →
dust213–6-0.0417%3 Dec →
inferno8–13-0.0618%3 Dec →
inferno6–13-0.1236%2 Dec →
train11–13-0.0216%2 Dec →
dust22–13-0.0220%2 Dec →
inferno8–130.0122%2 Dec →
nuke13–8-0.0117%27 Nov →
dust25–13-0.0813%27 Nov →
nuke7–13-0.0623%27 Nov →
dust213–40.1032%27 Nov →
nuke13–90.0125%26 Nov →
dust211–10.0534%26 Nov →
inferno13–50.0115%26 Nov →
ancient9–13-0.039%25 Nov →
inferno13–10-0.0212%25 Nov →
dust29–13-0.0417%25 Nov →
overpass13–80.0320%24 Nov →
nuke10–130.1122%24 Nov →
ancient13–100.0032%24 Nov →
overpass3–130.0025%23 Nov →
dust24–13-0.0125%23 Nov →
overpass15–15-0.0513%23 Nov →
inferno7–130.0120%23 Nov →
dust28–13-0.0022%23 Nov →
inferno16–12-0.0223%21 Nov →
train13–7-0.0916%21 Nov →
dust213–110.0520%21 Nov →
ancient13–8-0.0323%21 Nov →
nuke13–9-0.0111%21 Nov →
dust211–13-0.0810%20 Nov →
inferno6–13-0.0821%20 Nov →
dust213–110.0227%19 Nov →
nuke13–110.0214%19 Nov →
dust28–13-0.0134%18 Nov →
overpass13–70.0321%18 Nov →
dust24–13-0.0421%18 Nov →
overpass13–100.0011%17 Nov →
nuke13–100.0618%17 Nov →
inferno13–70.028%17 Nov →
inferno13–9-0.0030%13 Nov →
overpass13–11-0.0210%13 Nov →
nuke13–80.0223%12 Nov →
train13–40.0224%12 Nov →
dust211–130.0020%11 Nov →
inferno11–130.0022%11 Nov →
dust26–13-0.0212%11 Nov →
overpass4–130.0116%11 Nov →
nuke10–13-0.0713%9 Nov →
dust213–4-0.0230%9 Nov →
inferno13–50.0717%8 Nov →
ancient13–60.0514%8 Nov →
dust211–13-0.048%8 Nov →
nuke13–7-0.0222%8 Nov →
ancient11–13-0.0424%5 Nov →
dust213–10-0.0228%5 Nov →
inferno13–10-0.0421%4 Nov →
nuke13–11-0.0421%4 Nov →
overpass13–8-0.0324%3 Nov →
dust213–60.0522%3 Nov →
inferno13–50.0132%3 Nov →
inferno10–13-0.0115%2 Nov →
overpass16–140.0013%2 Nov →
overpass8–13-0.0220%2 Nov →
train2–13-0.0517%1 Nov →
nuke13–70.0315%1 Nov →
inferno13–9-0.0328%1 Nov →
inferno3–9-0.220%1 Nov →
vertigo7–9-0.0515%1 Nov →
nuke5–9-0.1614%1 Nov →
rooftop9–7-0.0212%1 Nov →
inferno6–9-0.1214%1 Nov →
ancient13–7-0.0510%30 Oct →
inferno13–6-0.0334%30 Oct →
dust210–13-0.0314%28 Oct →
inferno13–10-0.0119%23 Oct →
ancient13–50.0519%23 Oct →
dust23–13-0.029%20 Oct →
mirage13–16-0.0224%20 Oct →
overpass12–16-0.0316%19 Oct →
dust213–9-0.0524%19 Oct →
dust216–130.0732%16 Oct →
inferno10–130.0432%16 Oct →
overpass13–100.0124%14 Oct →
inferno6–13-0.0515%8 Oct →
inferno8–13-0.0323%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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