Makas

Makas — CS2 Stats

DK76561198023385594[U:1:63119866]Steam profile ↗✓ No bans

1,415Tracked matches29%Win rate2020Tracked since
CSDB Rating4.9 DevelopingSupport
Premier CS Rating9,876Light Blue band · top ~55.5% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Oct 2026 (10 days ago). Ranks are recorded once per day this page is viewed.

−243Premier CS Rating · 10,119 → 9,876

Rating over time

Premier CS Rating: 9,876 -4,867 17 Jun – 17 Oct · 26 days played
9,36614,743peak 14,74317 Jun17 Oct
14,999Peak Premier in tracked matches
42Days played since 2026-06-17

Premier CS Rating

  • 4,867 below peak (14,743)
  • +120 over 30 days · steady
  • -1,637 over 90 days
  • Next: Blue band at 10,000 — 124 to go
  • Reached: Blue band · Light Blue band

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

Share this profile

CSDB.GGMakasFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER9,876 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim75
Positioning48
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY39–54–7Last 10039%Win rateLWLLWLLLWW

Last 10 vs previous 10: +30pp win rate · −0.01 avg rating · +1.2pp headshot accuracy · +55ms reaction

Win rate up 30pp 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 (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 642ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 627ms

Last 20

  • 5–14–1 · 25% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 600ms

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 (+1.4 against its own average).

Aim7.5
Utility5.4
Positioning4.8
Opening Duels3.1
Clutch2.8

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 92% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower aim profile; lower positioning 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. 573ms 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

Aim7.5
Positioning4.8
Utility5.4
Mechanics7.4
Opening Duels2.8
Win Impact0.0

Composite 4.9/10 (Developing), 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-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time579ms−48ms
first ⅓ avg 627ms → last ⅓ avg 579ms
Headshot accuracy19.4%+0.9%
first ⅓ avg 18.6% → last ⅓ avg 19.4%

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

0.12Best match rating · 13–10 · nuke, 6 Jul →
42%Best headshot accuracy · 13–4 · overpass, 23 Jun →
344msFastest reaction time · 1–9 · vertigo, 22 Jun →
13–2Biggest win · inferno, 23 Jun →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–8In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 44% over 9cacheWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoC2811–1739%-0.01
nukeC2410–1442%-0.01
dust2D196–1332%-0.03
ancientC94–544%-0.01
mirageC83–538%-0.01
cacheD51–420%-0.05
overpass—33–0100%0.01
anubis—20–20%-0.03
train—11–0100%-0.05
vertigo—10–10%-0.27

Across the last 100 tracked matches.

Faceit stats

Combat

801Matches
50%Win rate
0.94Avg K/D
76.9ADR
40%Headshot %

Clutches & streaks

34%1v1 clutch win
20%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno7745%0.9815.2
Nuke6970%1.1315.2
Ancient5258%0.9914.3
Mirage3946%0.9815.7
Dust23738%0.9114.9
Anubis1932%0.8012.9
Vertigo1650%0.8613.9
Overpass1346%1.0914.6

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.

19.6%Headshot accuracy
31.7%Accuracy (enemy spotted)
32.8%Spray accuracy
83.5%Counter-strafing
7.4°Preaim
573msReaction time
38.3%T opening success
44.1%CT opening success
0.48Enemies flashed / flash
2.7%Flash assists
9.55HE damage / grenade
12.02Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4757 — below the 0.5 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 38.254% — below the 40% mark we flag

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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
anubis11–13-0.0712%17 Oct →
cache13–10-0.0122%7 Oct →
mirage17–19-0.0520%6 Oct →
dust24–13-0.0820%6 Oct →
nuke13–90.0515%5 Oct →
nuke8–13-0.0117%26 Sept →
mirage11–130.0516%26 Sept →
inferno6–13-0.0623%15 Sept →
mirage13–11-0.0520%5 Sept →
ancient13–110.0321%25 Aug →
inferno11–13-0.0214%20 Aug →
inferno5–90.0113%20 Aug →
dust29–13-0.0229%19 Aug →
inferno2–13-0.0716%18 Aug →
ancient11–130.0110%4 Aug →
ancient8–13-0.0625%4 Aug →
dust27–130.0718%4 Aug →
inferno13–70.0215%4 Aug →
nuke9–130.0218%4 Aug →
dust215–15-0.0217%3 Aug →
inferno2–13-0.0721%3 Aug →
inferno9–13-0.0630%1 Aug →
inferno13–4-0.0510%31 Jul →
inferno12–120.0422%27 Jul →
ancient10–130.0011%23 Jul →
mirage2–13-0.0614%23 Jul →
nuke6–13-0.0320%22 Jul →
inferno7–130.0335%19 Jul →
inferno7–13-0.0514%17 Jul →
dust213–110.0431%16 Jul →
dust213–9-0.0330%15 Jul →
cache15–15-0.0417%14 Jul →
nuke3–13-0.0627%13 Jul →
ancient13–6-0.0329%13 Jul →
nuke11–130.0315%13 Jul →
dust26–13-0.0630%13 Jul →
dust210–13-0.058%12 Jul →
inferno13–50.0319%12 Jul →
dust23–13-0.0822%12 Jul →
nuke1–13-0.119%12 Jul →
inferno15–15-0.0322%12 Jul →
nuke13–40.0012%12 Jul →
dust212–12-0.0912%12 Jul →
dust213–60.0719%10 Jul →
cache11–13-0.069%10 Jul →
inferno13–30.0917%9 Jul →
nuke10–130.1025%9 Jul →
ancient13–70.0318%9 Jul →
mirage10–13-0.0120%9 Jul →
inferno16–130.0927%9 Jul →
ancient13–5-0.0111%8 Jul →
nuke13–11-0.0713%8 Jul →
dust213–8-0.0611%8 Jul →
dust26–13-0.014%7 Jul →
train13–11-0.0514%7 Jul →
nuke13–90.0434%6 Jul →
nuke13–50.0319%6 Jul →
nuke13–100.1222%6 Jul →
inferno13–9-0.0519%5 Jul →
dust21–4-0.0120%5 Jul →
inferno3–130.0120%5 Jul →
inferno14–16-0.0521%5 Jul →
inferno6–13-0.0133%3 Jul →
mirage13–40.0320%2 Jul →
inferno13–11-0.0618%1 Jul →
nuke13–90.0823%1 Jul →
nuke2–13-0.0719%29 Jun →
nuke2–13-0.0635%29 Jun →
cache5–13-0.100%25 Jun →
dust213–3-0.0128%25 Jun →
dust26–13-0.0619%25 Jun →
nuke5–130.0122%25 Jun →
nuke2–13-0.1014%24 Jun →
inferno13–5-0.0510%24 Jun →
overpass13–90.0227%24 Jun →
ancient8–13-0.068%24 Jun →
dust213–70.0123%24 Jun →
overpass13–40.0342%23 Jun →
inferno13–20.0421%23 Jun →
inferno7–13-0.0616%23 Jun →
dust26–13-0.0221%23 Jun →
nuke13–9-0.0514%23 Jun →
nuke6–0-0.010%23 Jun →
dust25–9-0.0626%23 Jun →
cache6–13-0.0426%23 Jun →
nuke10–13-0.0413%23 Jun →
nuke8–130.0324%22 Jun →
ancient5–130.0324%22 Jun →
mirage15–150.0110%22 Jun →
mirage16–13-0.0117%22 Jun →
inferno9–50.0622%22 Jun →
vertigo1–9-0.2717%22 Jun →
nuke13–11-0.0318%21 Jun →
inferno13–3-0.0312%21 Jun →
inferno10–13-0.0217%21 Jun →
inferno10–13-0.0113%18 Jun →
inferno15–15-0.0420%17 Jun →
nuke9–13-0.0717%17 Jun →
overpass16–12-0.0115%17 Jun →
anubis9–130.0124%17 Jun →

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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