aldioder — CS2 Stats
76561198292522230[U:1:332256502]✓ No bans
How this compares with the same rank
Median values for Level 9 among CSDB-tracked players (n=1,892), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Level 9 median | Level 10 median | vs Level 10 |
|---|---|---|---|---|
| Headshot rate | 52.3% | 48.5% | 51.9% | meets |
| Shot accuracy | 14.9% | 13.3% | 13.7% | above |
| Kill/death ratio | 1.19 | 1.07 | 1.08 | above |
| Match win rate | 48.0% | 47.0% | 48.7% | meets |
Across every metric we can compare, this profile already matches the typical Level 10 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.04 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimerLimited utility dependenceReliable in 1v1s
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 s1mple 88% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: lower utility contribution.
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 87 — the mechanical foundation is a clear strength.
CT openings. 67% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
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
Composite 7.3/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.00 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 |
|---|---|---|---|---|---|
 mirage | C | 29 | 12–17 | 41% | 0.05 |
 cache | B | 22 | 10–12 | 45% | 0.07 |
 dust2 | C | 16 | 6–10 | 38% | 0.05 |
 ancient | A | 9 | 5–4 | 56% | 0.08 |
 anubis | C | 8 | 3–5 | 38% | 0.04 |
 inferno | D | 6 | 2–4 | 33% | 0.01 |
 vertigo | — | 4 | 1–3 | 25% | 0.05 |
 nuke | — | 2 | 1–1 | 50% | 0.04 |
 overpass | — | 2 | 0–2 | 0% | -0.01 |
| alpine | — | 1 | 1–0 | 100% | 0.15 |
 train | — | 1 | 0–1 | 0% | 0.05 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Lifetime stats
Most-used weapons
Lifetime map wins
Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 23 | 48% | 1.12 | 18.2 |
| Anubis | 17 | 59% | 1.27 | 16.8 |
| Nuke | 11 | 64% | 1.22 | 18.1 |
| Inferno | 6 | 67% | 0.92 | 13.0 |
| Vertigo | 6 | 67% | 1.38 | 19.3 |
| Ancient | 3 | 100% | 1.29 | 22.0 |
| Dust2 | 3 | 33% | 0.89 | 14.3 |
| Overpass | 1 | 0% | 0.95 | 19.0 |
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.
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.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4481 — below the 0.5 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 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 15–15 | -0.08 | 22% | 28 Aug → | |
| anubis | 15–15 | -0.00 | 18% | 22 Aug → | |
| cache | 8–13 | 0.15 | 24% | 21 Aug → | |
| ancient | 9–13 | -0.00 | 24% | 21 Aug → | |
| dust2 | 0–13 | -0.09 | 0% | 16 Aug → | |
| cache | 13–1 | 0.09 | 30% | 15 Aug → | |
| mirage | 13–4 | 0.04 | 25% | 14 Aug → | |
| mirage | 13–6 | 0.04 | 10% | 14 Aug → | |
| cache | 3–10 | 0.04 | 19% | 20 Jun → | |
| cache | 13–2 | -0.05 | 22% | 7 Jun → | |
| cache | 9–13 | -0.05 | 0% | 6 Jun → | |
| anubis | 7–13 | 0.13 | 18% | 2 Jun → | |
| dust2 | 13–10 | 0.05 | 26% | 2 Jun → | |
| anubis | 13–3 | -0.03 | 30% | 1 Jun → | |
| cache | 12–12 | 0.10 | 29% | 29 May → | |
| anubis | 8–13 | 0.00 | 18% | 25 May → | |
| dust2 | 13–10 | 0.02 | 21% | 25 May → | |
| cache | 13–8 | 0.12 | 38% | 22 May → | |
| cache | 11–13 | 0.06 | 23% | 22 May → | |
| mirage | 13–2 | 0.16 | 17% | 22 May → | |
| dust2 | 13–9 | 0.04 | 40% | 22 May → | |
| cache | 10–13 | 0.16 | 34% | 19 May → | |
| inferno | 13–8 | 0.13 | 35% | 19 May → | |
| cache | 13–2 | 0.14 | 33% | 14 May → | |
| cache | 13–4 | 0.07 | 33% | 12 May → | |
| cache | 13–10 | 0.06 | 26% | 12 May → | |
| cache | 12–12 | 0.12 | 36% | 11 May → | |
| inferno | 10–13 | -0.02 | 24% | 10 May → | |
| dust2 | 13–6 | 0.08 | 26% | 4 May → | |
| cache | 13–11 | 0.01 | 37% | 4 May → | |
| cache | 8–13 | 0.06 | 30% | 4 May → | |
| cache | 13–5 | 0.16 | 32% | 3 May → | |
| cache | 12–12 | 0.06 | 15% | 3 May → | |
| ancient | 13–7 | -0.01 | 26% | 1 May → | |
| cache | 4–13 | -0.06 | 36% | 1 May → | |
| cache | 12–12 | 0.02 | 34% | 30 Apr → | |
| cache | 13–3 | 0.09 | 42% | 29 Apr → | |
| cache | 13–11 | 0.06 | 32% | 29 Apr → | |
| cache | 9–13 | 0.11 | 20% | 29 Apr → | |
| dust2 | 6–13 | 0.06 | 34% | 27 Apr → | |
| ancient | 13–10 | 0.09 | 24% | 27 Apr → | |
| mirage | 11–13 | 0.05 | 29% | 25 Apr → | |
| mirage | 10–13 | 0.04 | 19% | 24 Apr → | |
| dust2 | 8–13 | -0.02 | 15% | 22 Apr → | |
| mirage | 13–11 | -0.04 | 23% | 20 Apr → | |
| ancient | 13–9 | 0.04 | 18% | 15 Apr → | |
| dust2 | 9–13 | 0.01 | 24% | 15 Apr → | |
| mirage | 13–10 | 0.00 | 28% | 9 Apr → | |
| nuke | 13–11 | 0.03 | 20% | 7 Apr → | |
| mirage | 13–11 | -0.00 | 24% | 7 Apr → | |
| mirage | 11–13 | 0.10 | 31% | 6 Apr → | |
| ancient | 13–1 | 0.15 | 33% | 6 Apr → | |
| anubis | 6–13 | -0.00 | 21% | 6 Apr → | |
| mirage | 8–13 | 0.15 | 21% | 3 Apr → | |
| inferno | 2–13 | -0.02 | 12% | 2 Apr → | |
| ancient | 13–10 | 0.21 | 26% | 2 Apr → | |
| mirage | 13–3 | 0.08 | 22% | 1 Apr → | |
| dust2 | 9–13 | 0.04 | 29% | 30 Mar → | |
| anubis | 13–9 | 0.17 | 18% | 29 Mar → | |
| mirage | 13–11 | 0.18 | 28% | 29 Mar → | |
| mirage | 5–13 | -0.11 | 25% | 27 Mar → | |
| ancient | 8–13 | 0.11 | 21% | 26 Mar → | |
| vertigo | 13–2 | 0.05 | 33% | 26 Mar → | |
| nuke | 7–13 | 0.05 | 17% | 26 Mar → | |
| mirage | 11–13 | 0.10 | 22% | 26 Mar → | |
| dust2 | 11–13 | 0.11 | 25% | 26 Mar → | |
| dust2 | 9–13 | 0.09 | 30% | 26 Mar → | |
| dust2 | 12–12 | 0.08 | 30% | 26 Mar → | |
| ancient | 12–12 | 0.12 | 27% | 25 Mar → | |
| anubis | 7–13 | 0.04 | 22% | 21 Mar → | |
| mirage | 13–8 | 0.03 | 28% | 21 Mar → | |
| ancient | 13–16 | -0.00 | 16% | 20 Mar → | |
| mirage | 11–13 | 0.13 | 30% | 19 Mar → | |
| mirage | 8–13 | -0.09 | 18% | 17 Mar → | |
| anubis | 13–7 | 0.01 | 23% | 16 Mar → | |
| mirage | 6–13 | 0.01 | 40% | 16 Mar → | |
| vertigo | 9–13 | 0.05 | 57% | 15 Mar → | |
| mirage | 13–3 | 0.08 | 22% | 15 Mar → | |
| mirage | 4–13 | -0.01 | 24% | 14 Mar → | |
| dust2 | 7–13 | 0.02 | 34% | 14 Mar → | |
| mirage | 13–5 | 0.17 | 31% | 14 Mar → | |
| mirage | 15–15 | 0.06 | 25% | 13 Mar → | |
| mirage | 7–13 | -0.02 | 18% | 13 Mar → | |
| alpine | 13–7 | 0.15 | 32% | 13 Mar → | |
| dust2 | 13–7 | 0.21 | 25% | 13 Mar → | |
| train | 10–13 | 0.05 | 32% | 12 Mar → | |
| inferno | 6–2 | 0.06 | 39% | 12 Mar → | |
| dust2 | 12–12 | 0.06 | 30% | 11 Mar → | |
| inferno | 9–13 | 0.00 | 36% | 11 Mar → | |
| overpass | 4–13 | -0.08 | 18% | 10 Mar → | |
| mirage | 4–13 | -0.06 | 18% | 9 Mar → | |
| vertigo | 3–13 | 0.05 | 42% | 9 Mar → | |
| dust2 | 13–11 | 0.00 | 21% | 8 Mar → | |
| mirage | 6–13 | -0.00 | 29% | 8 Mar → | |
| mirage | 4–13 | 0.05 | 23% | 8 Mar → | |
| overpass | 8–13 | 0.06 | 39% | 7 Mar → | |
| vertigo | 11–13 | 0.07 | 27% | 6 Mar → | |
| mirage | 3–13 | -0.04 | 19% | 28 Feb → | |
| mirage | 4–13 | 0.05 | 13% | 28 Feb → | |
| mirage | 13–5 | 0.25 | 21% | 27 Feb → |
Match data via Leetify.