Aell

Aell — CS2 Stats

76561198122235785[U:1:161970057]Steam profile ↗✓ No bans

2,061Tracked matches60%Win rate2020Tracked since
CSDB Rating7.2 StrongPositional Player
Premier CS Rating20,880Top 50% of 213,399 CSDB-tracked playersPink band · top ~7.5% of ranked players (population est.)
CSDB Leaderboard#71552 of 259978 tracked
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (yesterday). 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: 20,880 +1,167 1 Sept – 4 Nov · 34 days played
16,98423,145peak 23,1451 Sept4 Nov
23,145Peak Premier in tracked matches
31Days played since 2026-09-01

Premier CS Rating

  • 2,265 below peak (23,145)
  • +721 over 30 days · improving
  • Next: Red band at 25,000 — 4,120 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-01
  • Blue band first seen 2026-09-01

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

Share this profile

CSDB.GGAellFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER20,880 · Pink bandcsdb.gg/stats

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Performance scores

Aim88
Positioning57
Utility45

0–100 skill scores via Leetify.

Recent form

COLD59–38–3Last 10059%Win rateLLLLLLWWLW

Last 10 vs previous 10: −40pp win rate · −0.02 avg rating · −0.3pp headshot accuracy · +26ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 0–5 · 0% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 19%
  • Avg reaction 520ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 531ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 518ms

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: Positional Player — Positioning stands above the rest of this profile (+1.9 against its own average).

Aim8.8
Utility4.5
Positioning5.7
Opening Duels4.9
Clutch0.0

Sharp aimer

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

donk

Plays most like donk 93% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower opening-duel success; 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

Strengths

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

Areas to improve

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

Aim8.8
Positioning5.7
Utility4.5
Mechanics8.0
Opening Duels5.7
Win Impact8.3

Composite 7.2/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time533ms−4ms
first ⅓ avg 537ms → last ⅓ avg 533ms
Headshot accuracy21.5%+2.3%
first ⅓ avg 19.2% → last ⅓ avg 21.5%

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

0.18Best match rating · 9–3 · vertigo, 18 Oct →
38%Best headshot accuracy · 8–13 · dust2, 22 Oct →
391msFastest reaction time · 9–13 · ancient, 18 Oct →
13–1Biggest win · mirage, 11 Oct →

Across the last 100 tracked matches.

Highlights

10Longest win streak
L6Current streak
11–9In matches decided by ≤2 rounds
13Overtime games

Map breakdown

nukeBest map · 83% over 6dust2Weakest map · 40% over 25
MapGradePlayedRecordWin rateAvg rating
dust2C2510–1540%0.02
mirageS1510–567%0.00
ancientA149–564%0.01
anubisB147–750%0.01
infernoS1310–377%0.01
cacheA106–460%0.00
nukeS65–183%0.04
vertigo—22–0100%0.15
poseidon—10–10%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (40% over 25). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

362Matches
51%Win rate
0.89Avg K/D
64.9ADR
47%Headshot %

Clutches & streaks

0%1v1 clutch win
40%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage4257%0.9313.9
Ancient2148%0.8611.7
Vertigo1947%0.9615.5
Nuke1567%0.9514.9
Anubis1450%1.0713.1
Inferno1331%0.8310.8
Overpass683%1.1113.3
Dust2425%0.446.3

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.

21.6%Headshot accuracy
36.3%Accuracy (enemy spotted)
35.9%Spray accuracy
85.8%Counter-strafing
7.4°Preaim
521msReaction time
57.7%T opening success
48.3%CT opening success
0.43Enemies flashed / flash
6.8%Flash assists
7.09HE damage / grenade
6.68Flashes / 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 0.4283 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Dust 2

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 25 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache8–130.0330%4 Nov →
mirage5–13-0.0519%3 Nov →
cache6–13-0.0424%31 Oct →
dust214–16-0.0213%31 Oct →
inferno5–13-0.068%30 Oct →
dust28–130.0220%29 Oct →
inferno13–60.0120%28 Oct →
nuke13–110.0830%27 Oct →
mirage7–13-0.0020%27 Oct →
mirage13–40.0727%26 Oct →
ancient13–60.0917%26 Oct →
ancient13–50.0815%24 Oct →
mirage13–80.0118%24 Oct →
inferno13–11-0.0215%24 Oct →
anubis9–13-0.0023%23 Oct →
ancient13–4-0.0217%23 Oct →
inferno13–60.0219%23 Oct →
dust28–13-0.0138%22 Oct →
anubis11–130.0528%21 Oct →
inferno13–110.0123%20 Oct →
cache16–130.0420%20 Oct →
mirage13–100.0118%20 Oct →
cache13–110.0919%20 Oct →
anubis5–13-0.0234%19 Oct →
dust216–14-0.0214%19 Oct →
mirage13–6-0.0436%19 Oct →
dust213–60.1021%18 Oct →
ancient9–13-0.0119%18 Oct →
dust213–100.0321%18 Oct →
vertigo9–30.1821%18 Oct →
poseidon4–9-0.0123%18 Oct →
anubis13–50.0133%18 Oct →
ancient15–15-0.089%18 Oct →
nuke13–60.0816%17 Oct →
inferno13–3-0.0128%17 Oct →
cache10–130.0014%17 Oct →
dust28–1-0.0016%17 Oct →
mirage13–70.0118%17 Oct →
ancient13–16-0.0617%16 Oct →
mirage13–50.0813%16 Oct →
dust213–50.1016%16 Oct →
mirage6–13-0.0019%16 Oct →
nuke13–50.0214%16 Oct →
anubis14–16-0.0117%16 Oct →
dust28–130.0123%15 Oct →
mirage14–160.0023%15 Oct →
anubis13–70.0517%15 Oct →
inferno11–130.0322%14 Oct →
mirage13–3-0.0218%14 Oct →
dust213–9-0.0117%14 Oct →
inferno14–16-0.0222%13 Oct →
dust213–7-0.0227%13 Oct →
anubis11–13-0.0424%12 Oct →
dust24–13-0.0019%12 Oct →
cache13–5-0.0227%12 Oct →
inferno5–30.0127%12 Oct →
anubis13–100.0325%11 Oct →
ancient16–13-0.0418%11 Oct →
cache13–8-0.0220%11 Oct →
mirage13–1-0.0415%11 Oct →
mirage13–4-0.0616%10 Oct →
ancient8–00.0224%10 Oct →
inferno16–12-0.0313%10 Oct →
dust213–50.0716%10 Oct →
anubis10–13-0.0820%10 Oct →
dust210–130.1535%9 Oct →
ancient13–8-0.0223%9 Oct →
nuke15–15-0.0218%9 Oct →
dust213–60.0322%9 Oct →
dust29–13-0.0021%9 Oct →
cache13–3-0.0811%9 Oct →
mirage8–130.029%8 Oct →
anubis11–13-0.0020%7 Oct →
ancient10–130.0826%7 Oct →
dust24–130.0034%7 Oct →
inferno13–60.1521%7 Oct →
dust21–13-0.105%7 Oct →
cache13–100.0518%4 Oct →
ancient7–130.0522%4 Oct →
anubis13–90.0625%4 Oct →
dust211–130.0213%4 Oct →
nuke13–8-0.0225%4 Oct →
dust28–13-0.0211%4 Oct →
dust25–130.0723%3 Oct →
ancient13–9-0.0022%3 Oct →
inferno13–50.0424%3 Oct →
dust210–130.0221%2 Oct →
nuke13–90.1021%2 Oct →
dust28–130.0226%2 Oct →
anubis13–11-0.0314%2 Oct →
inferno13–110.0317%2 Oct →
mirage13–110.0721%2 Oct →
ancient13–110.0817%2 Oct →
cache15–15-0.0225%1 Oct →
anubis16–13-0.0021%1 Oct →
dust23–130.0124%1 Oct →
vertigo9–40.1221%30 Sept →
anubis13–10.0812%30 Sept →
ancient13–100.0113%30 Sept →
dust213–110.0311%30 Sept →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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