maqx

maqx — CS2 Stats

76561198197729777[U:1:237464049]Steam profile ↗✓ No bans

3,093Tracked matches53%Win rate2020Tracked since
CSDB Rating7.8 StrongSupport
FaceitLevel 10 · 3,039 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (5 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 3,039 → 3,039
+8Tracked matches · now 3,093
0.0ppWin rate · 53.3% → 53.3%
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. 69 days played since 24 Apr 2025. Come back after the next session and the change shows above.

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Rating over time

Faceit ELO: 3,039 +0 31 Aug18 Sept · 5 observations
3,0393,039peak 3,03931 Aug18 Sept
3,039Highest Faceit ELO seen on CSDB
69Days played since 2025-04-24

Faceit ELO

  • At peak — 3,039
  • Next: 3,500 ELO at 3,500 461 to go
  • Reached: 3,000 ELO · 2,500 ELO · Level 10 · Level 9
  • 3,000 ELO first seen 2026-08-31
  • 2,500 ELO first seen 2026-08-31

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.GGmaqxFACEITLevel 10 · 3,039 ELOSTANDINGTop 12.4% of rankedPEAK ELO3,039csdb.gg/stats

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Performance scores

Aim93
Positioning63
Utility78

0–100 skill scores via Leetify.

Recent form

STEADY59392Last 10059%Win rateLWWLWLLLWW

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −3.2pp headshot accuracy · −55ms reaction

Win rate 0pp 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

  • 32 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 453ms

Last 10

  • 55 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 474ms

Last 20

  • 1010 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 502ms

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: SupportUtility contribution stands above the rest of this profile (+1.9 against its own average).

Aim9.3
Utility7.8
Positioning6.3
Opening Duels5.5
Clutch3.8

Sharp aimerStrong CT-side openerEffective flashesHigh utility contribution

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 87% playstyle similarity

Most alike: opening-duel success, 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

Strengths

Aim. Aim score of 93 — the mechanical foundation is a clear strength.

CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Flashes. 0.94 enemies blinded per flash — utility that consistently lands.

Utility. Utility score of 78 — grenade impact well above the norm.

Areas to improve

Positioning. Positioning trails aim by 30 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 63% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim9.3
Positioning6.3
Utility7.8
Mechanics7.2
Opening Duels5.1
Win Impact6.1

Composite 7.8/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time505ms−35ms
first ⅓ avg 540ms → last ⅓ avg 505ms
Headshot accuracy23.9%−1.0%
first ⅓ avg 24.9% → last ⅓ avg 23.9%

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

0.15Best match rating · 13–9 · inferno, 21 Jun
44%Best headshot accuracy · 13–2 · dust2, 21 Mar
359msFastest reaction time · 13–9 · dust2, 2 Apr
13–0Biggest win · inferno, 28 Mar

Across the last 100 tracked matches.

Highlights

8Longest win streak
136In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 82% over 17trainWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
infernoC1881044%0.02
nukeS1714382%0.03
ancientS129375%0.02
dust2B115645%0.02
cacheS96367%0.03
anubisS96367%0.03
overpassB84450%-0.01
trainC73443%0.01
vertigo43175%0.07
mirage3030%-0.02
brewery110100%0.08
jura1010%0.11

Across the last 100 tracked matches.

Faceit stats

Combat

5,431Matches
54%Win rate
1.28Avg K/D
85.1ADR
47%Headshot %

Clutches & streaks

39%1v1 clutch win
23%1v2 clutch win
15Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Nuke45664%1.2417.1
Ancient34355%1.2517.4
Inferno31853%1.2517.7
Dust227051%1.1716.8
Anubis20249%1.1416.2
Train18764%1.3417.9
Overpass14451%1.1717.1
Mirage12843%1.1716.4

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.

24.1%Headshot accuracy
39.8%Accuracy (enemy spotted)
41.3%Spray accuracy
82.3%Counter-strafing
7.6°Preaim
504msReaction time
37.9%T opening success
63.1%CT opening success
0.94Enemies flashed / flash
11.0%Flash assists
10.83HE damage / grenade
15.39Flashes / 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 37.8911% — 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.

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
cache8–13-0.0119%19 Sept
overpass13–11-0.0120%19 Sept
anubis13–50.0313%19 Sept
nuke6–13-0.0617%19 Sept
ancient13–60.0217%29 Aug
mirage7–13-0.0610%25 Aug
dust27–130.0020%23 Aug
inferno7–130.0519%23 Aug
nuke13–80.0633%23 Aug
vertigo13–70.1222%23 Aug
vertigo13–60.0925%23 Aug
ancient13–70.0321%22 Aug
inferno3–13-0.0624%19 Aug
vertigo23–250.0725%16 Aug
dust210–130.0621%16 Aug
cache13–60.0530%15 Aug
cache8–130.0416%9 Aug
cache10–130.0118%9 Aug
nuke13–110.0319%8 Aug
vertigo13–100.0123%6 Aug
nuke13–110.0539%5 Aug
dust24–13-0.0120%1 Aug
cache16–120.1039%26 Jul
inferno6–130.0543%25 Jul
cache13–110.0030%22 Jul
anubis7–13-0.0119%22 Jul
ancient13–80.0732%19 Jul
dust28–13-0.0213%8 Jul
inferno7–9-0.0221%7 Jul
inferno8–80.0137%5 Jul
cache13–100.0329%3 Jul
cache13–30.0237%3 Jul
overpass6–13-0.0817%13 Jun
nuke16–120.0324%31 May
cache13–110.0221%13 May
anubis8–13-0.0116%13 May
dust213–70.0233%21 Apr
anubis13–90.0530%19 Apr
anubis13–100.0228%10 Apr
anubis13–50.1123%7 Apr
inferno9–130.0032%3 Apr
dust213–9-0.0229%2 Apr
inferno9–13-0.0227%29 Mar
nuke16–140.0333%28 Mar
anubis19–160.0627%28 Mar
overpass13–90.0424%28 Mar
anubis13–4-0.0125%28 Mar
nuke13–110.0521%28 Mar
inferno13–00.0531%28 Mar
nuke13–30.0731%28 Mar
overpass13–6-0.0122%28 Mar
nuke13–16-0.0626%21 Mar
dust213–20.0844%21 Mar
inferno13–20.0944%18 Mar
anubis15–190.0220%17 Mar
inferno13–110.0830%28 Feb
inferno11–130.0121%13 Feb
overpass14–16-0.0126%13 Feb
ancient13–60.0733%30 Jan
mirage2–130.0034%26 Jan
dust210–130.0128%26 Jan
inferno5–13-0.0319%18 Jan
dust213–70.0424%12 Jan
ancient10–130.0327%3 Jan
nuke13–70.0728%27 Dec
ancient9–130.0121%27 Dec
overpass13–110.0829%27 Dec
inferno5–130.0134%19 Dec
dust213–80.0221%14 Dec
mirage5–13-0.0123%13 Dec
inferno13–110.0325%13 Dec
train13–60.0122%13 Dec
nuke13–110.0324%13 Dec
ancient13–50.0722%12 Dec
inferno13–100.0130%5 Dec
nuke13–100.0732%3 Oct
train7–13-0.0028%27 Sept
train10–13-0.0118%19 Sept
dust211–120.0021%31 Aug
train13–100.0041%19 Aug
overpass9–13-0.0417%15 Aug
brewery9–60.0814%2 Aug
nuke13–50.0418%30 Jul
inferno13–80.0030%17 Jul
overpass16–19-0.0125%17 Jul
train10–130.0533%1 Jul
inferno13–90.1533%21 Jun
nuke13–110.0014%15 Jun
ancient11–13-0.0330%12 Jun
nuke10–13-0.0029%9 Jun
jura12–120.1121%6 Jun
nuke16–130.0523%1 Jun
train7–13-0.0425%1 Jun
inferno13–100.0117%27 May
nuke13–80.0333%24 May
train13–20.0923%16 May
ancient13–3-0.0226%16 May
ancient22–19-0.0320%16 May
ancient13–110.0724%4 May
ancient13–7-0.0527%24 Apr

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 103K ELO Club1,000 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →