Aelg

Aelg — CS2 Stats

76561197964030863[U:1:3765135]Steam profile ↗✓ No bans

1,128Tracked matches46%Win rate2023Tracked since
CSDB Rating3.2 LearningSupport
Premier CS Rating5,551Light Blue band · top ~76.2% of ranked players (population est.)
WingmanSilver Elite Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Oct 2026 (5 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: 5,551 -7,021 11 Apr – 31 Oct · 33 days played
4,68613,013peak 13,01311 Apr31 Oct
13,013Peak Premier in tracked matches
48Days played since 2026-04-11

Premier CS Rating

  • 7,462 below peak (13,013)
  • +450 over 30 days · improving
  • Next: Blue band at 10,000 — 4,449 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.

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CSDB.GGAelgPREMIER5,551 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim37
Positioning40
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY38–55–7Last 10038%Win rateLWTWWLWLLW

Last 10 vs previous 10: +20pp win rate · −0.02 avg rating · −1.3pp headshot accuracy · −4ms reaction

Win rate up 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 (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–1–1 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 10%
  • Avg reaction 658ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 9%
  • Avg reaction 656ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 10%
  • Avg reaction 658ms

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 (+3.5 against its own average).

Aim3.7
Utility6.0
Positioning4.0
Opening Duels0.0
Clutch0.0

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

iM

Plays most like iM 63% 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

Reaction time. 660ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 61% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.7
Positioning4.0
Utility6.0
Mechanics2.5
Opening Duels0.2
Win Impact3.8

Composite 3.2/10 (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-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time662ms−2ms
first ⅓ avg 663ms → last ⅓ avg 662ms
Headshot accuracy9.7%−2.0%
first ⅓ avg 11.7% → last ⅓ avg 9.7%

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

0.10Best match rating · 13–5 · anubis, 3 Jun →
28%Best headshot accuracy · 13–9 · ancient, 20 Jun →
445msFastest reaction time · 13–3 · anubis, 23 Oct →
13–2Biggest win · shelter, 26 Aug →

Across the last 100 tracked matches.

Highlights

3Longest win streak
4–6In matches decided by ≤2 rounds
13Overtime games

Map breakdown

overpassBest map · 80% over 5dust2Weakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
anubisD195–1426%-0.01
infernoC167–944%-0.01
nukeC146–843%-0.01
ancientC146–843%-0.03
cacheD134–931%-0.02
mirageD72–529%-0.03
dust2D71–614%-0.05
overpassS54–180%-0.02
vertigo—31–233%-0.06
shelter—11–0100%0.07
train—11–0100%0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3Matches
67%Win rate
0.82Avg K/D
52.8ADR
30%Headshot %

Clutches & streaks

0%1v1 clutch win
50%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno2100%0.9610.5
Mirage10%0.5610.0

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.

10.1%Headshot accuracy
33.4%Accuracy (enemy spotted)
35.2%Spray accuracy
61.1%Counter-strafing
8.9°Preaim
660msReaction time
31.7%T opening success
27.9%CT opening success
0.69Enemies flashed / flash
3.9%Flash assists
11.54HE damage / grenade
5.95Flashes / 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 10.113% — below the 15% mark we flag

    Aim Training →
  2. 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 31.6999% — below the 40% mark we flag

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.

14% win rate across 7 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
inferno7–130.017%31 Oct →
nuke13–8-0.0010%30 Oct →
nuke15–15-0.0315%25 Oct →
anubis13–30.0112%23 Oct →
anubis13–7-0.058%14 Oct →
anubis5–13-0.079%14 Oct →
mirage13–3-0.058%14 Oct →
inferno4–13-0.0510%13 Oct →
vertigo5–13-0.124%10 Oct →
overpass13–11-0.0610%10 Oct →
cache10–13-0.0515%8 Oct →
inferno13–90.018%28 Sept →
cache13–10-0.026%28 Sept →
nuke9–13-0.028%26 Sept →
dust24–13-0.0721%26 Sept →
vertigo3–13-0.0312%25 Sept →
anubis6–130.0013%25 Sept →
mirage6–13-0.080%25 Sept →
inferno13–60.0211%25 Sept →
mirage7–13-0.0011%24 Sept →
inferno13–9-0.0219%8 Sept →
cache15–150.0111%6 Sept →
inferno7–13-0.017%6 Sept →
nuke13–30.065%6 Sept →
ancient4–13-0.0712%2 Sept →
cache13–40.0212%2 Sept →
inferno11–130.0617%30 Aug →
nuke13–3-0.054%30 Aug →
anubis13–90.0110%30 Aug →
ancient5–13-0.053%30 Aug →
inferno13–7-0.0110%29 Aug →
anubis10–13-0.0210%29 Aug →
nuke11–13-0.053%29 Aug →
ancient13–40.0116%29 Aug →
anubis10–130.0613%29 Aug →
anubis6–13-0.078%29 Aug →
anubis15–15-0.018%28 Aug →
ancient16–13-0.0317%26 Aug →
shelter13–20.078%26 Aug →
anubis7–13-0.0212%23 Aug →
ancient10–130.009%23 Aug →
cache8–13-0.024%23 Aug →
inferno13–16-0.028%21 Aug →
nuke11–10.0211%21 Aug →
mirage8–13-0.0714%21 Aug →
dust216–130.0115%17 Aug →
cache13–8-0.0010%17 Aug →
ancient3–13-0.0110%17 Aug →
cache15–15-0.028%12 Aug →
nuke13–20.099%12 Aug →
inferno13–60.0615%12 Aug →
mirage13–9-0.048%11 Aug →
anubis8–13-0.059%11 Aug →
nuke13–6-0.037%11 Aug →
dust211–13-0.0112%11 Aug →
inferno14–16-0.047%11 Aug →
cache15–15-0.039%7 Aug →
dust20–13-0.1414%7 Aug →
nuke14–160.0010%6 Aug →
cache8–13-0.0210%3 Aug →
anubis5–13-0.069%29 Jul →
cache8–13-0.035%29 Jul →
cache5–13-0.045%9 Jul →
anubis12–120.0413%8 Jul →
nuke7–13-0.107%8 Jul →
train13–20.0622%8 Jul →
vertigo13–9-0.0412%8 Jul →
ancient5–13-0.1012%3 Jul →
inferno9–13-0.0315%3 Jul →
overpass13–6-0.027%21 Jun →
ancient13–90.0128%20 Jun →
dust24–13-0.0812%13 Jun →
mirage10–130.0415%13 Jun →
ancient13–110.0215%8 Jun →
nuke11–13-0.0112%8 Jun →
inferno13–5-0.0410%7 Jun →
inferno10–13-0.0420%3 Jun →
anubis13–50.1010%3 Jun →
anubis8–13-0.037%1 Jun →
ancient5–13-0.038%1 Jun →
dust27–13-0.0610%1 Jun →
anubis7–130.009%13 May →
cache13–8-0.0715%12 May →
overpass16–14-0.006%9 May →
inferno13–7-0.036%9 May →
anubis7–130.0115%9 May →
ancient13–9-0.044%7 May →
overpass13–40.0415%7 May →
ancient5–13-0.0015%4 May →
ancient7–13-0.059%2 May →
cache6–13-0.0412%2 May →
anubis16–140.017%27 Apr →
mirage5–13-0.019%24 Apr →
nuke6–13-0.0212%24 Apr →
inferno10–13-0.0413%24 Apr →
dust27–13-0.0117%24 Apr →
anubis15–15-0.025%16 Apr →
nuke5–13-0.078%11 Apr →
ancient13–4-0.0521%11 Apr →
overpass2–13-0.0510%11 Apr →

Match data via Leetify.

Recent teammates

Milestones

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

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