Amqn

Amqn — CS2 Stats

76561198375357052[U:1:415091324]Steam profile ↗✓ No bans

4,916Tracked matches43%Win rate2020Tracked since
CSDB Rating7.2 StrongSupport
FaceitLevel 10 · 3,310 ELOTop 12.4% of ranked FACEIT players
WingmanThe Global Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Aug 2026 (61 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 3,310 → 3,310
+129Tracked matches · now 4,916
−16.7ppWin rate · 60.0% → 43.3%

Rating over time

3,310Highest Faceit ELO seen on CSDB
67Days played since 2025-05-01

Faceit ELO

  • At peak — 3,310
  • Next: 3,500 ELO at 3,500 — 190 to go
  • Reached: 3,000 ELO · 2,500 ELO · Level 10 · Level 9
  • 3,000 ELO first seen 2026-08-28
  • 2,500 ELO first seen 2026-08-28

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.GGAmqnFACEITLevel 10 · 3,310 ELOSTANDINGTop 12.4% of rankedPEAK ELO3,310csdb.gg/stats

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Performance scores

Aim94
Positioning63
Utility63

0–100 skill scores via Leetify.

Recent form

COLD52–48Last 10052%Win rateLLLWLWLLWL

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · −1.4pp headshot accuracy · +41ms reaction

Win rate down 20pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 26%
  • Avg reaction 516ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 24%
  • Avg reaction 494ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 25%
  • Avg reaction 473ms

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).

Aim9.4
Utility6.3
Positioning6.3
Opening Duels2.8
Clutch4.4

Sharp aimerStrong CT-side opener

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

b1t

Plays most like b1t 94% playstyle similarity

Most alike: aim profile, 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

Strengths

Aim. Aim score of 94 — the mechanical foundation is a clear strength.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.4° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim9.4
Positioning6.3
Utility6.3
Mechanics7.9
Opening Duels3.5
Win Impact2.8

Composite 7.2/10 (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 rating-0.00−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.00
Reaction time481ms−60ms
first ⅓ avg 540ms → last ⅓ avg 481ms
Headshot accuracy22.6%−2.1%
first ⅓ avg 24.6% → last ⅓ avg 22.6%

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

0.20Best match rating · 13–1 · overpass, 28 Oct →
44%Best headshot accuracy · 2–13 · ancient, 16 Oct →
359msFastest reaction time · 8–13 · ancient, 8 Oct →
13–0Biggest win · nuke, 24 May →

Across the last 100 tracked matches.

Highlights

11Longest win streak
L3Current streak
8–7In matches decided by ≤2 rounds
10Overtime games

Map breakdown

mirageBest map · 71% over 7overpassWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
nukeB3014–1647%0.00
ancientB2915–1452%0.01
infernoA106–460%-0.02
anubisS96–367%0.01
mirageS75–271%0.01
overpassC52–340%0.04
train—41–325%0.02
dust2—30–30%-0.03
cache—33–0100%0.01

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,771Matches
53%Win rate
1.15Avg K/D
78.2ADR
53%Headshot %

Clutches & streaks

42%1v1 clutch win
23%1v2 clutch win
12Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient77855%1.1916.4
Anubis60954%1.1415.5
Mirage45850%1.0215.2
Nuke37854%1.2015.8
Inferno29154%1.1215.1
Overpass15451%1.2216.6
Vertigo10954%1.0615.6
Dust29332%1.0014.0

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.

22.3%Headshot accuracy
42.7%Accuracy (enemy spotted)
47.2%Spray accuracy
85.5%Counter-strafing
10.4°Preaim
474msReaction time
39.1%T opening success
49.2%CT opening success
0.58Enemies flashed / flash
7.1%Flash assists
9.44HE damage / grenade
10.78Flashes / 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 39.0995% — below the 40% mark we flag

Spend your practice time on Overpass

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.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust29–10-0.0222%21 Oct →
nuke4–13-0.0125%21 Oct →
ancient2–130.0341%21 Oct →
cache13–8-0.0125%20 Oct →
ancient8–13-0.0315%20 Oct →
inferno13–100.0016%20 Oct →
ancient5–13-0.0318%18 Oct →
nuke9–130.0021%18 Oct →
ancient13–30.0633%18 Oct →
nuke5–130.0028%18 Oct →
mirage13–100.0128%18 Oct →
nuke19–17-0.0418%17 Oct →
anubis13–11-0.0116%17 Oct →
nuke13–100.0626%16 Oct →
inferno6–13-0.0625%16 Oct →
ancient2–13-0.0444%16 Oct →
nuke13–160.0121%8 Oct →
ancient10–130.0220%8 Oct →
cache13–80.0033%8 Oct →
ancient8–13-0.0427%8 Oct →
nuke13–80.0419%8 Oct →
nuke6–130.0116%7 Oct →
anubis13–100.0521%7 Oct →
ancient13–2-0.0129%7 Oct →
nuke8–13-0.0118%7 Oct →
ancient11–13-0.0516%7 Oct →
nuke4–130.0019%2 Oct →
cache16–130.0315%26 Sept →
ancient6–130.0020%24 Sept →
inferno13–70.0019%22 Sept →
nuke13–8-0.0912%6 Sept →
ancient13–10-0.0614%7 Aug →
anubis13–30.0726%14 Jul →
ancient13–10.0827%5 Jul →
nuke13–11-0.0022%13 Jun →
ancient22–20-0.0324%30 May →
nuke13–100.0133%25 May →
nuke13–10-0.0020%24 May →
ancient13–80.0529%24 May →
nuke13–7-0.0615%18 May →
overpass8–130.0719%10 May →
ancient13–60.0314%6 May →
inferno22–18-0.0216%5 May →
ancient13–8-0.0323%5 May →
ancient13–7-0.0322%24 Apr →
nuke13–16-0.0122%24 Apr →
anubis13–80.0519%5 Apr →
inferno10–13-0.0323%5 Apr →
inferno13–80.0024%4 Apr →
ancient11–130.0726%19 Mar →
inferno9–13-0.0625%17 Mar →
inferno13–8-0.0138%17 Mar →
inferno10–130.0126%28 Feb →
ancient13–60.0622%24 Feb →
ancient11–130.0628%22 Feb →
nuke13–11-0.0432%20 Feb →
ancient10–130.0119%20 Feb →
nuke5–13-0.0829%12 Feb →
mirage5–130.0011%5 Feb →
nuke13–16-0.0221%16 Jan →
anubis13–11-0.0416%16 Jan →
ancient11–13-0.0321%15 Jan →
anubis5–13-0.0127%15 Jan →
anubis14–16-0.0220%15 Jan →
ancient13–60.0235%14 Jan →
nuke4–13-0.0224%14 Jan →
nuke11–130.0029%12 Jan →
ancient10–13-0.0326%30 Dec →
train13–80.0939%11 Dec →
ancient13–70.0624%2 Dec →
nuke2–13-0.0441%6 Nov →
overpass13–10.2033%28 Oct →
mirage13–9-0.0212%22 Oct →
dust28–13-0.0326%7 Oct →
nuke13–10.0528%4 Oct →
mirage13–100.0525%27 Sept →
mirage16–140.1123%17 Sept →
nuke8–13-0.0021%11 Sept →
train8–13-0.0423%5 Sept →
nuke9–130.0329%27 Aug →
ancient13–60.0421%27 Aug →
overpass13–8-0.0518%26 Aug →
nuke13–10.1128%26 Aug →
nuke10–130.0129%25 Aug →
overpass9–13-0.0324%24 Aug →
train10–130.0436%5 Aug →
ancient13–11-0.0319%2 Aug →
inferno13–8-0.0218%29 Jul →
nuke13–60.0532%26 Jul →
overpass6–130.0428%19 Jul →
ancient5–13-0.0215%5 Jul →
mirage8–13-0.0418%2 Jul →
ancient13–20.1234%2 Jul →
mirage13–8-0.0110%24 Jun →
nuke13–40.0321%1 Jun →
anubis4–13-0.0312%28 May →
nuke13–00.1624%24 May →
train13–16-0.0127%23 May →
anubis13–3-0.0120%23 May →
dust24–13-0.0430%1 May →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 103K ELO Club1,000 Matches11-Win StreakAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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