aell — CS2 Stats
NO76561197993100702[U:1:32834974]Steam profile ↗✓ No bans
Share this profile
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
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · -0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.
Your pro match

Plays most like NiKo 87% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower positioning profile; 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
Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.
Reaction time. 561ms 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
Composite 5.3/10 (Developing), 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
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.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
| B | 27 | 13–14 | 48% | -0.01 | |
| C | 23 | 9–14 | 39% | -0.01 | |
| B | 16 | 8–8 | 50% | -0.02 | |
| D | 12 | 4–8 | 33% | -0.02 | |
| S | 8 | 6–2 | 75% | -0.01 | |
| D | 6 | 2–4 | 33% | 0.02 | |
| — | 4 | 2–2 | 50% | 0.02 | |
| — | 3 | 0–3 | 0% | -0.00 | |
| — | 1 | 0–1 | 0% | -0.04 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 148 | 53% | 1.00 | 14.9 |
| Ancient | 122 | 43% | 1.04 | 15.1 |
| Dust2 | 97 | 46% | 0.96 | 14.2 |
| Mirage | 72 | 31% | 0.97 | 14.1 |
| Nuke | 59 | 58% | 1.11 | 14.7 |
| Inferno | 44 | 48% | 0.96 | 14.4 |
| Train | 14 | 14% | 0.90 | 16.2 |
| Vertigo | 12 | 50% | 0.91 | 12.4 |
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.
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.
- 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 34.0951% — below the 40% mark we flag
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 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 8–13 | -0.08 | 7% | 24 Aug → | ||
| 3–13 | -0.07 | 14% | 24 Aug → | ||
| 13–3 | 0.08 | 26% | 17 Aug → | ||
| 6–13 | -0.05 | 14% | 17 Aug → | ||
| 13–11 | -0.02 | 14% | 17 Aug → | ||
| 8–13 | -0.03 | 26% | 17 Aug → | ||
| 17–19 | -0.06 | 11% | 10 Aug → | ||
| 13–10 | -0.04 | 14% | 10 Aug → | ||
| 13–7 | 0.01 | 19% | 10 Aug → | ||
| 6–13 | -0.07 | 16% | 10 Aug → | ||
| 13–11 | -0.02 | 11% | 9 Aug → | ||
| 6–13 | -0.07 | 19% | 9 Aug → | ||
| 10–13 | -0.01 | 4% | 9 Aug → | ||
| 13–7 | 0.03 | 21% | 9 Aug → | ||
| 13–6 | 0.01 | 18% | 9 Aug → | ||
| 13–5 | -0.01 | 17% | 9 Aug → | ||
| 13–4 | -0.00 | 18% | 9 Aug → | ||
| 13–8 | 0.03 | 20% | 7 Aug → | ||
| 14–16 | -0.06 | 10% | 3 Aug → | ||
| 16–14 | -0.08 | 8% | 3 Aug → | ||
| 4–13 | -0.02 | 29% | 3 Aug → | ||
| 16–13 | -0.04 | 18% | 3 Aug → | ||
| 13–6 | 0.04 | 18% | 3 Aug → | ||
| 13–10 | 0.03 | 24% | 3 Aug → | ||
| 13–9 | -0.07 | 21% | 3 Aug → | ||
| 11–13 | -0.04 | 20% | 3 Aug → | ||
| 13–5 | -0.04 | 14% | 28 Jul → | ||
| 19–16 | 0.01 | 19% | 28 Jul → | ||
| 8–13 | 0.07 | 14% | 26 Jul → | ||
| 10–13 | -0.02 | 18% | 26 Jul → | ||
| 16–14 | 0.02 | 17% | 26 Jul → | ||
| 8–13 | 0.01 | 16% | 25 Jul → | ||
| 6–13 | 0.01 | 18% | 25 Jul → | ||
| 13–6 | 0.05 | 19% | 25 Jul → | ||
| 8–13 | -0.05 | 19% | 25 Jul → | ||
| 14–16 | -0.02 | 18% | 8 Jul → | ||
| 13–6 | -0.01 | 11% | 8 Jul → | ||
| 13–9 | -0.00 | 16% | 3 Jul → | ||
| 8–13 | -0.01 | 28% | 16 Jun → | ||
| 13–5 | 0.03 | 29% | 16 Jun → | ||
| 11–13 | 0.02 | 23% | 16 Jun → | ||
| 5–13 | -0.02 | 14% | 16 Jun → | ||
| 10–13 | 0.12 | 12% | 16 Jun → | ||
| 5–13 | -0.08 | 10% | 15 Jun → | ||
| 13–11 | -0.04 | 12% | 15 Jun → | ||
| 13–7 | -0.02 | 24% | 15 Jun → | ||
| 11–13 | -0.01 | 22% | 15 Jun → | ||
| 13–7 | -0.01 | 18% | 10 Jun → | ||
| 8–13 | 0.06 | 14% | 10 Jun → | ||
| 13–8 | 0.03 | 13% | 10 Jun → | ||
| 9–13 | -0.03 | 16% | 10 Jun → | ||
| 5–13 | -0.04 | 6% | 10 Jun → | ||
| 7–13 | -0.07 | 20% | 2 Jun → | ||
| 13–16 | 0.03 | 14% | 2 Jun → | ||
| 7–13 | 0.04 | 14% | 1 Jun → | ||
| 13–11 | 0.01 | 9% | 1 Jun → | ||
| 13–11 | 0.02 | 14% | 1 Jun → | ||
| 13–6 | 0.03 | 16% | 1 Jun → | ||
| 13–4 | 0.08 | 10% | 1 Jun → | ||
| 13–11 | -0.01 | 13% | 26 May → | ||
| 14–16 | 0.05 | 14% | 26 May → | ||
| 13–6 | -0.06 | 11% | 21 May → | ||
| 10–13 | -0.01 | 14% | 18 May → | ||
| 8–13 | -0.07 | 34% | 18 May → | ||
| 13–8 | -0.01 | 25% | 18 May → | ||
| 14–16 | -0.01 | 24% | 16 May → | ||
| 13–8 | 0.04 | 16% | 16 May → | ||
| 12–16 | -0.04 | 17% | 16 May → | ||
| 6–13 | -0.04 | 13% | 14 May → | ||
| 8–13 | -0.02 | 17% | 14 May → | ||
| 2–13 | -0.04 | 35% | 14 May → | ||
| 9–13 | -0.02 | 14% | 14 May → | ||
| 11–13 | -0.05 | 7% | 14 May → | ||
| 5–13 | 0.01 | 13% | 14 May → | ||
| 9–13 | -0.01 | 14% | 12 May → | ||
| 13–16 | -0.07 | 20% | 7 May → | ||
| 13–9 | -0.04 | 12% | 7 May → | ||
| 13–9 | 0.05 | 13% | 30 Apr → | ||
| 11–13 | -0.05 | 12% | 30 Apr → | ||
| 11–13 | -0.04 | 5% | 27 Apr → | ||
| 13–10 | 0.01 | 6% | 27 Apr → | ||
| 13–2 | -0.00 | 12% | 27 Apr → | ||
| 9–13 | -0.02 | 16% | 25 Apr → | ||
| 13–5 | 0.02 | 24% | 24 Apr → | ||
| 8–13 | 0.03 | 19% | 23 Apr → | ||
| 6–13 | -0.03 | 17% | 20 Apr → | ||
| 11–13 | -0.02 | 15% | 20 Apr → | ||
| 19–15 | 0.01 | 9% | 18 Apr → | ||
| 2–13 | -0.05 | 16% | 18 Apr → | ||
| 13–10 | 0.07 | 15% | 18 Apr → | ||
| 9–13 | 0.06 | 18% | 18 Apr → | ||
| 19–17 | -0.01 | 18% | 17 Apr → | ||
| 10–13 | -0.03 | 7% | 17 Apr → | ||
| 8–13 | -0.08 | 30% | 17 Apr → | ||
| 8–13 | -0.09 | 24% | 16 Apr → | ||
| 13–10 | 0.03 | 26% | 16 Apr → | ||
| 7–13 | 0.01 | 23% | 15 Apr → | ||
| 5–13 | 0.02 | 15% | 15 Apr → | ||
| 17–19 | -0.03 | 15% | 15 Apr → | ||
| 13–10 | 0.07 | 33% | 13 Apr → |
Match data via Leetify.