Aquelo

Aquelo — CS2 Stats

SE76561198130017172[U:1:169751444]Steam profile ↗✓ No bans

426Tracked matches43%Win rate2020Tracked since
CSDB Rating3.9 LearningSupport
Premier CS Rating11,825Blue band · top ~45.2% of ranked players (population est.)
FaceitLevel 4 · 1,043 ELOTop 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Apr 2026 (179 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 11,825 -1,189 26 Dec – 21 Apr · 33 days played
10,40314,645peak 14,64526 Dec21 Apr
14,645Peak Premier in tracked matches
1,043Highest Faceit ELO seen on CSDB
45Days played since 2025-12-26

Faceit ELO

  • At peak — 1,043
  • Next: Level 5 at 1,051 — 8 to go
  • Reached: Level 4 · Level 3 · Level 2

Premier CS Rating

  • 2,820 below peak (14,645)
  • -609 over 30 days · declining
  • +521 over 90 days
  • Next: Purple band at 15,000 — 3,175 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.GGAqueloFACEITLevel 4 · 1,043 ELOSTANDINGTop 81.0% of rankedPREMIER11,825 · Blue bandPEAK ELO1,043csdb.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

Aim47
Positioning37
Utility49

0–100 skill scores via Leetify.

Recent form

COLD40–55–5Last 10040%Win rateLLWLLLLWLW

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +6.8pp headshot accuracy · −66ms reaction

Win rate −10pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 18%
  • Avg reaction 583ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 19%
  • Avg reaction 591ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 624ms

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 (+2 against its own average).

Aim4.7
Utility4.9
Positioning3.7
Opening Duels0.5
Clutch2.6

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 83% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

T-side openings. Opening success drops from 34% on CT to 18% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 623ms 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

Aim4.7
Positioning3.7
Utility4.9
Mechanics5.9
Opening Duels0.5
Win Impact2.8

Composite 3.9/10 (Learning), 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-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time617ms+2ms
first ⅓ avg 614ms → last ⅓ avg 617ms
Headshot accuracy15.7%+2.0%
first ⅓ avg 13.7% → last ⅓ avg 15.7%

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

0.21Best match rating · 9–0 · nuke, 26 Dec →
50%Best headshot accuracy · 13–0 · ancient, 16 Mar →
422msFastest reaction time · 13–9 · ancient, 26 Dec →
13–0Biggest win · ancient, 16 Mar →

Across the last 100 tracked matches.

Highlights

3Longest win streak
L2Current streak
9–12In matches decided by ≤2 rounds
12Overtime games

Map breakdown

ancientBest map · 55% over 20infernoWeakest map · 33% over 27
MapGradePlayedRecordWin rateAvg rating
infernoD279–1833%-0.02
ancientA2011–955%-0.03
overpassC146–843%-0.04
anubisB137–654%-0.03
mirageD124–833%-0.03
train—41–325%-0.01
dust2—31–233%-0.04
nuke—31–233%0.02
cache—20–20%-0.02
poseidon—10–10%-0.14
vertigo—10–10%-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 27). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

14Matches
43%Win rate
0.88Avg K/D
54.7ADR
35%Headshot %

Clutches & streaks

33%1v1 clutch win
25%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage333%0.6610.3
Overpass10%0.7110.0
Vertigo10%0.5011.0
Inferno10%0.6511.0
Nuke1100%0.7911.0
Anubis10%0.477.0

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.

15.0%Headshot accuracy
30.2%Accuracy (enemy spotted)
35.7%Spray accuracy
76.6%Counter-strafing
11.3°Preaim
623msReaction time
18.5%T opening success
34.0%CT opening success
0.49Enemies flashed / flash
3.5%Flash assists
10.07HE damage / grenade
6.12Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.9809% — below the 15% mark we flag

    Aim Training →
  2. 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 0.4938 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 18.491% — below the 40% mark we flag

Spend your practice time on Inferno

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

33% win rate across 27 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache5–13-0.0521%16 May →
cache3–130.0019%16 May →
inferno13–90.0219%21 Apr →
anubis6–13-0.1112%21 Apr →
anubis11–13-0.0421%5 Apr →
mirage7–13-0.0318%21 Mar →
dust210–13-0.049%21 Mar →
inferno13–90.0311%18 Mar →
mirage3–13-0.0711%16 Mar →
ancient13–0-0.0550%16 Mar →
inferno7–130.0217%16 Mar →
anubis8–13-0.0522%13 Mar →
ancient13–11-0.019%13 Mar →
inferno10–13-0.0212%13 Mar →
inferno14–16-0.0515%9 Mar →
mirage13–7-0.076%9 Mar →
inferno13–00.0111%7 Mar →
mirage8–13-0.077%7 Mar →
anubis10–13-0.0214%5 Mar →
mirage13–110.0310%5 Mar →
inferno13–60.0616%5 Mar →
inferno3–13-0.0824%4 Mar →
ancient5–13-0.0823%4 Mar →
anubis16–12-0.0212%2 Mar →
ancient13–5-0.0616%1 Mar →
overpass8–13-0.0116%28 Feb →
inferno13–11-0.0219%27 Feb →
ancient13–4-0.0412%27 Feb →
inferno13–7-0.027%27 Feb →
anubis6–13-0.076%26 Feb →
ancient4–13-0.0821%24 Feb →
overpass8–13-0.1122%24 Feb →
ancient13–8-0.0210%24 Feb →
inferno9–13-0.0513%23 Feb →
inferno11–13-0.0222%23 Feb →
poseidon2–9-0.1417%23 Feb →
inferno9–130.0212%21 Feb →
anubis13–90.0213%20 Feb →
nuke3–13-0.1113%20 Feb →
anubis13–70.0216%20 Feb →
ancient13–6-0.0313%20 Feb →
inferno4–13-0.0611%20 Feb →
ancient3–13-0.1019%19 Feb →
anubis13–11-0.0415%13 Feb →
ancient11–13-0.0021%13 Feb →
nuke11–13-0.0313%13 Feb →
inferno13–10-0.055%13 Feb →
overpass13–10-0.0211%12 Feb →
mirage7–13-0.038%11 Feb →
anubis13–90.0112%11 Feb →
anubis8–13-0.0710%10 Feb →
overpass15–15-0.045%6 Feb →
ancient6–13-0.039%6 Feb →
inferno13–11-0.0217%6 Feb →
inferno11–13-0.0410%5 Feb →
mirage11–13-0.0312%5 Feb →
anubis13–40.0330%5 Feb →
inferno5–13-0.0210%3 Feb →
overpass1–13-0.0715%3 Feb →
overpass13–80.0015%1 Feb →
ancient16–14-0.0317%1 Feb →
ancient13–8-0.0222%1 Feb →
inferno1–13-0.0213%22 Jan →
anubis13–60.018%22 Jan →
overpass11–13-0.0725%21 Jan →
inferno15–15-0.0311%19 Jan →
overpass16–130.0118%17 Jan →
mirage15–15-0.0214%17 Jan →
ancient13–10-0.0214%17 Jan →
inferno13–100.0113%16 Jan →
train10–13-0.0210%16 Jan →
train9–130.0214%15 Jan →
inferno14–16-0.0418%13 Jan →
inferno11–13-0.0614%8 Jan →
overpass13–30.0114%8 Jan →
ancient13–8-0.0115%6 Jan →
mirage13–6-0.0310%6 Jan →
inferno8–130.0032%5 Jan →
ancient14–16-0.0113%5 Jan →
train14–16-0.0112%3 Jan →
ancient8–13-0.0411%3 Jan →
ancient6–13-0.078%2 Jan →
inferno9–13-0.049%1 Jan →
overpass16–14-0.0420%1 Jan →
mirage13–2-0.0340%1 Jan →
overpass3–13-0.0410%1 Jan →
overpass13–110.0015%30 Dec →
dust210–13-0.0610%30 Dec →
overpass15–15-0.0310%27 Dec →
train13–11-0.058%27 Dec →
mirage7–13-0.048%27 Dec →
inferno5–13-0.0621%27 Dec →
inferno6–13-0.085%26 Dec →
overpass7–13-0.1116%26 Dec →
dust213–4-0.0110%26 Dec →
vertigo8–8-0.005%26 Dec →
ancient10–130.0411%26 Dec →
ancient13–9-0.007%26 Dec →
nuke9–00.2130%26 Dec →
mirage7–13-0.009%26 Dec →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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