xDyl — CS2 Stats
76561198205861425[U:1:245595697]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.02 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
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.
Your pro match

Plays most like NiKo 86% playstyle similarity
Most alike: aim profile, utility contribution.
Where you differ: lower positioning profile; lower opening-duel success.
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 45 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.
Reaction time. 556ms 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 5.6/10 (Solid), 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
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 |
|---|---|---|---|---|---|
| D | 23 | 7–16 | 30% | 0.02 | |
| C | 18 | 7–11 | 39% | 0.01 | |
| B | 17 | 8–9 | 47% | -0.01 | |
| A | 14 | 8–6 | 57% | 0.04 | |
| C | 13 | 5–8 | 38% | 0.00 | |
| B | 8 | 4–4 | 50% | 0.00 | |
| — | 3 | 1–2 | 33% | 0.01 | |
| — | 2 | 2–0 | 100% | 0.13 | |
| poseidon | — | 1 | 0–1 | 0% | -0.01 |
| debris | — | 1 | 1–0 | 100% | 0.08 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (30% over 23). 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 resultsWWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 99 | 33% | 1.09 | 15.6 |
| Ancient | 98 | 59% | 1.18 | 16.3 |
| Inferno | 69 | 54% | 1.13 | 16.6 |
| Anubis | 65 | 57% | 1.01 | 15.6 |
| Nuke | 28 | 46% | 1.02 | 15.5 |
| Overpass | 19 | 63% | 1.00 | 14.7 |
| Dust2 | 15 | 53% | 0.91 | 13.2 |
| Cache | 14 | 50% | 1.04 | 14.3 |
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.
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 0.4879 — below the 0.5 mark we flag
- 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 23.3918% — 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.
30% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | 0.00 | 24% | 28 Aug → | ||
| 7–9 | 0.04 | 32% | 28 Aug → | ||
| 9–2 | 0.17 | 35% | 28 Aug → | ||
| 1–13 | -0.08 | 39% | 27 Aug → | ||
| 8–8 | -0.03 | 36% | 27 Aug → | ||
| 6–9 | -0.09 | 21% | 27 Aug → | ||
| 12–16 | -0.07 | 53% | 27 Aug → | ||
| 5–13 | -0.01 | 15% | 26 Aug → | ||
| 4–13 | -0.05 | 32% | 25 Aug → | ||
| 13–7 | 0.02 | 20% | 23 Aug → | ||
| 10–13 | -0.06 | 27% | 23 Aug → | ||
| 16–14 | 0.04 | 34% | 22 Aug → | ||
| 9–13 | 0.01 | 31% | 22 Aug → | ||
| 9–6 | 0.07 | 30% | 22 Aug → | ||
| 7–13 | 0.03 | 25% | 20 Aug → | ||
| 10–13 | 0.01 | 29% | 18 Aug → | ||
| 10–13 | 0.02 | 20% | 17 Aug → | ||
| 13–5 | -0.05 | 17% | 16 Aug → | ||
| 13–8 | 0.06 | 30% | 16 Aug → | ||
| 11–13 | 0.02 | 26% | 16 Aug → | ||
| 13–11 | -0.00 | 17% | 15 Aug → | ||
| 9–6 | 0.08 | 38% | 15 Aug → | ||
| 8–8 | -0.04 | 17% | 15 Aug → | ||
| poseidon | 8–8 | -0.01 | 43% | 15 Aug → | |
| 9–6 | 0.13 | 35% | 15 Aug → | ||
| 5–13 | 0.01 | 30% | 15 Aug → | ||
| 13–10 | 0.08 | 29% | 15 Aug → | ||
| 6–13 | 0.02 | 30% | 15 Aug → | ||
| 14–16 | 0.02 | 30% | 15 Aug → | ||
| 13–11 | 0.01 | 28% | 13 Aug → | ||
| 13–7 | -0.02 | 30% | 12 Aug → | ||
| 13–10 | 0.03 | 31% | 12 Aug → | ||
| 14–16 | 0.03 | 21% | 11 Aug → | ||
| 6–13 | -0.07 | 33% | 11 Aug → | ||
| 5–13 | -0.07 | 9% | 11 Aug → | ||
| 1–13 | -0.03 | 40% | 11 Aug → | ||
| 15–15 | -0.03 | 38% | 10 Aug → | ||
| 11–13 | 0.04 | 25% | 10 Aug → | ||
| 10–13 | 0.06 | 38% | 9 Aug → | ||
| 13–6 | 0.08 | 36% | 9 Aug → | ||
| 7–13 | -0.05 | 32% | 9 Aug → | ||
| 13–5 | 0.08 | 41% | 9 Aug → | ||
| 13–7 | 0.00 | 27% | 9 Aug → | ||
| 10–13 | -0.05 | 31% | 9 Aug → | ||
| 13–9 | 0.01 | 34% | 9 Aug → | ||
| 15–15 | 0.02 | 36% | 8 Aug → | ||
| 13–7 | 0.05 | 39% | 8 Aug → | ||
| 4–9 | 0.05 | 35% | 8 Aug → | ||
| 9–1 | 0.24 | 57% | 8 Aug → | ||
| 4–13 | -0.02 | 46% | 7 Aug → | ||
| 13–8 | 0.00 | 24% | 6 Aug → | ||
| 9–13 | 0.03 | 33% | 5 Aug → | ||
| 7–13 | -0.07 | 19% | 5 Aug → | ||
| 9–3 | 0.19 | 39% | 5 Aug → | ||
| 9–13 | 0.06 | 48% | 3 Aug → | ||
| 10–13 | -0.02 | 24% | 3 Aug → | ||
| 13–6 | -0.05 | 15% | 3 Aug → | ||
| 9–13 | -0.00 | 12% | 1 Aug → | ||
| 8–13 | -0.05 | 33% | 1 Aug → | ||
| 13–4 | 0.02 | 24% | 30 Jul → | ||
| 10–13 | -0.05 | 26% | 29 Jul → | ||
| 5–9 | 0.13 | 36% | 29 Jul → | ||
| 13–9 | 0.02 | 42% | 29 Jul → | ||
| 2–13 | 0.05 | 30% | 29 Jul → | ||
| 16–12 | 0.05 | 32% | 26 Jul → | ||
| 0–13 | -0.05 | 30% | 26 Jul → | ||
| 2–13 | -0.04 | 4% | 25 Jul → | ||
| 13–7 | 0.02 | 23% | 24 Jul → | ||
| 9–5 | 0.07 | 42% | 24 Jul → | ||
| 9–7 | 0.04 | 19% | 24 Jul → | ||
| 8–8 | 0.11 | 26% | 23 Jul → | ||
| 3–13 | -0.01 | 46% | 23 Jul → | ||
| debris | 9–5 | 0.08 | 41% | 23 Jul → | |
| 13–6 | 0.08 | 22% | 23 Jul → | ||
| 9–13 | -0.03 | 27% | 23 Jul → | ||
| 5–13 | -0.04 | 35% | 23 Jul → | ||
| 11–13 | -0.03 | 22% | 22 Jul → | ||
| 9–13 | -0.02 | 42% | 22 Jul → | ||
| 10–13 | -0.05 | 17% | 21 Jul → | ||
| 10–13 | -0.02 | 23% | 21 Jul → | ||
| 6–13 | 0.02 | 26% | 19 Jul → | ||
| 5–13 | -0.04 | 13% | 19 Jul → | ||
| 13–8 | -0.00 | 35% | 19 Jul → | ||
| 13–3 | -0.02 | 14% | 19 Jul → | ||
| 13–2 | 0.16 | 36% | 19 Jul → | ||
| 16–14 | 0.02 | 32% | 19 Jul → | ||
| 13–10 | -0.03 | 33% | 19 Jul → | ||
| 13–16 | -0.06 | 24% | 18 Jul → | ||
| 5–13 | 0.00 | 15% | 18 Jul → | ||
| 15–15 | -0.00 | 24% | 18 Jul → | ||
| 16–12 | 0.03 | 33% | 18 Jul → | ||
| 13–6 | -0.03 | 26% | 18 Jul → | ||
| 4–13 | -0.03 | 33% | 17 Jul → | ||
| 16–13 | 0.05 | 22% | 17 Jul → | ||
| 7–13 | 0.01 | 38% | 17 Jul → | ||
| 13–9 | 0.04 | 30% | 17 Jul → | ||
| 13–8 | 0.03 | 30% | 16 Jul → | ||
| 13–9 | 0.04 | 36% | 16 Jul → | ||
| 13–6 | 0.07 | 23% | 16 Jul → | ||
| 7–13 | 0.01 | 31% | 16 Jul → |
Match data via Leetify.