majax-

majax- — CS2 Stats

76561197975720350[U:1:15454622]Steam profile ↗✓ No bans

735Tracked matches39%Win rate2020Tracked since
CSDB Rating3.9 LearningClutch Specialist
FaceitLevel 5 · 1,034 ELOTop 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (23 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 735 tracked matches. Play, then come back: the next observation lands here.

Rating over time

1,034Highest Faceit ELO seen on CSDB
65Days played since 2025-12-01

Faceit ELO

  • At peak — 1,034
  • Next: Level 5 at 1,051 — 17 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-09-19
  • Level 3 first seen 2026-09-19

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGmajax-FACEITLevel 5 · 1,034 ELOSTANDINGTop 67.6% of rankedPEAK ELO1,034csdb.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

Aim55
Positioning37
Utility54

0–100 skill scores via Leetify.

Recent form

COLD45–43–12Last 10045%Win rateTLLLWLTWLL

Last 10 vs previous 10: −30pp win rate · +0.04 avg rating · +0.5pp headshot accuracy · −6ms reaction

Win rate down 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 (+0.04), 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 27%
  • Avg reaction 733ms

Last 10

  • 2–6–2 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 20%
  • Avg reaction 677ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 680ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.6 against its own average).

Aim5.5
Utility5.4
Positioning3.7
Opening Duels1.2
Clutch5.6

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

ZywOo

Plays most like ZywOo 86% 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. 663ms 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

Aim5.5
Positioning3.7
Utility5.4
Mechanics6.6
Opening Duels0.5
Win Impact1.4

Composite 3.9/10 (Learning), 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-0.03+0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time673ms+20ms
first ⅓ avg 652ms → last ⅓ avg 673ms
Headshot accuracy17.9%+3.9%
first ⅓ avg 14.0% → last ⅓ avg 17.9%

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 · 5–11 · dust2, 4 Jun →
38%Best headshot accuracy · 1–4 · dust2, 30 Jul →
484msFastest reaction time · 6–13 · dust2, 6 May →
13–0Biggest win · dust2, 19 Feb →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–6In matches decided by ≤2 rounds

Map breakdown

Strongest and weakest map need 5+ matches on two different maps — 1 of 8 maps qualify so far.

MapGradePlayedRecordWin rateAvg rating
dust2C8836–5241%-0.03
nuke—43–175%0.01
anubis—22–0100%-0.01
train—22–0100%-0.05
overpass—10–10%-0.05
mirage—11–0100%-0.00
ancient—10–10%-0.03
inferno—11–0100%-0.07

Across the last 100 tracked matches.

Faceit stats

Combat

135Matches
64%Win rate
0.88Avg K/D
67.5ADR
38%Headshot %

Clutches & streaks

48%1v1 clutch win
17%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Dust22085%0.9112.3
Nuke1182%0.8914.0
Inferno757%0.8911.6
Ancient450%1.0415.3
Train425%1.2218.3
Anubis475%0.9813.0
Overpass367%0.659.0
Mirage367%0.7511.3

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.

17.7%Headshot accuracy
32.4%Accuracy (enemy spotted)
37.5%Spray accuracy
79.6%Counter-strafing
11.1°Preaim
663msReaction time
24.4%T opening success
34.1%CT opening success
0.55Enemies flashed / flash
6.2%Flash assists
6.54HE damage / grenade
13.07Flashes / 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

    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 24.4147% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
dust212–120.0420%19 Aug →
dust21–40.0938%30 Jul →
dust23–13-0.0629%22 Jul →
dust210–130.0827%13 Jun →
dust213–10-0.0721%10 Jun →
dust29–13-0.1019%10 Jun →
dust212–12-0.0918%9 Jun →
nuke13–30.017%6 Jun →
dust25–110.1113%4 Jun →
dust27–13-0.048%3 Jun →
dust213–4-0.0228%3 Jun →
dust26–13-0.0823%29 May →
dust213–7-0.0625%27 May →
dust29–13-0.0627%27 May →
dust26–13-0.0512%23 May →
dust213–11-0.0311%19 May →
dust210–13-0.0312%17 May →
dust213–3-0.0326%16 May →
dust213–60.0219%15 May →
dust24–13-0.0310%12 May →
dust213–10-0.0519%12 May →
dust26–13-0.0527%11 May →
dust211–13-0.0315%7 May →
nuke13–6-0.0212%6 May →
dust213–9-0.0110%6 May →
dust26–13-0.0313%6 May →
dust211–13-0.0114%26 Apr →
dust28–13-0.0513%25 Apr →
dust213–5-0.0416%24 Apr →
dust22–13-0.0614%24 Apr →
dust29–13-0.0510%24 Apr →
dust27–13-0.0522%24 Apr →
dust213–110.0115%23 Apr →
dust212–12-0.0220%23 Apr →
dust213–6-0.0413%23 Apr →
dust210–13-0.0315%23 Apr →
dust213–11-0.0323%20 Apr →
dust213–70.0817%20 Apr →
dust210–13-0.0119%20 Apr →
dust213–50.0412%19 Apr →
dust28–13-0.0210%7 Apr →
dust212–12-0.0317%6 Apr →
dust212–12-0.036%6 Apr →
dust213–40.0024%5 Apr →
dust211–130.0325%5 Apr →
dust212–12-0.0021%20 Mar →
nuke13–50.0720%14 Mar →
dust212–120.0220%14 Mar →
dust26–13-0.0514%13 Mar →
dust210–130.0521%11 Mar →
nuke11–13-0.0315%10 Mar →
dust213–11-0.0516%10 Mar →
dust212–12-0.0121%10 Mar →
dust213–9-0.055%9 Mar →
dust27–13-0.0625%9 Mar →
dust212–12-0.0519%8 Mar →
dust213–11-0.0513%6 Mar →
dust210–13-0.0514%5 Mar →
dust213–6-0.0515%1 Mar →
dust213–7-0.0119%25 Feb →
dust212–12-0.106%25 Feb →
dust28–130.0122%24 Feb →
dust22–13-0.0912%24 Feb →
overpass9–13-0.0512%22 Feb →
dust211–13-0.0517%22 Feb →
mirage13–8-0.0023%22 Feb →
dust211–130.0111%21 Feb →
dust29–13-0.059%21 Feb →
anubis13–8-0.028%20 Feb →
dust213–8-0.0613%19 Feb →
dust23–13-0.119%19 Feb →
dust210–20.016%19 Feb →
dust213–0-0.0016%19 Feb →
dust25–13-0.045%17 Feb →
dust213–6-0.0216%17 Feb →
dust213–7-0.0417%17 Feb →
dust210–13-0.0420%17 Feb →
dust213–60.0325%12 Feb →
dust24–13-0.0523%11 Feb →
anubis13–6-0.0125%9 Feb →
dust213–30.0113%8 Feb →
dust213–70.0016%8 Feb →
dust213–2-0.015%4 Feb →
dust24–13-0.1015%2 Feb →
dust27–13-0.0413%27 Jan →
train13–9-0.059%23 Jan →
dust213–3-0.0413%11 Jan →
dust213–70.0515%10 Jan →
dust27–13-0.0429%31 Dec →
dust28–13-0.0615%28 Dec →
train13–2-0.0416%19 Dec →
dust213–8-0.0110%10 Dec →
dust213–11-0.097%10 Dec →
ancient9–13-0.037%6 Dec →
dust212–12-0.0711%4 Dec →
dust212–12-0.0614%3 Dec →
dust26–00.0536%2 Dec →
dust213–70.055%2 Dec →
dust213–9-0.0413%1 Dec →
inferno13–7-0.078%1 Dec →

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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