dyl4n — CS2 Stats
76561198085423249[U:1:125157521]✓ 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: +60pp win rate · +0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Excellent counter-strafingStrong CT-side opener
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 sh1ro 89% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
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
Counter-strafing. 90% of shots taken properly stopped — movement discipline most players never reach.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 56% on CT to 41% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 648ms 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 6.8/10 (Solid), 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 |
|---|---|---|---|---|---|
| B | 37 | 19–18 | 51% | 0.02 | |
| B | 24 | 12–12 | 50% | 0.02 | |
| C | 12 | 5–7 | 42% | 0.02 | |
| D | 9 | 2–7 | 22% | 0.04 | |
| A | 5 | 3–2 | 60% | 0.02 | |
| — | 3 | 2–1 | 67% | 0.03 | |
| — | 3 | 2–1 | 67% | -0.01 | |
| — | 3 | 3–0 | 100% | 0.06 | |
| — | 3 | 2–1 | 67% | 0.03 | |
| debris | — | 1 | 0–1 | 0% | -0.09 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 5 | 20% | 0.68 | 11.4 |
| Nuke | 4 | 75% | 1.69 | 22.5 |
| Mirage | 3 | 67% | 1.26 | 18.3 |
| Anubis | 2 | 50% | 0.84 | 13.0 |
| Inferno | 2 | 50% | 2.18 | 19.0 |
| Ancient | 1 | 100% | 1.57 | 33.0 |
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 0.3745 — 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.
22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–6 | 0.09 | 28% | 15 Aug → | ||
| 12–12 | 0.02 | 36% | 15 Aug → | ||
| debris | 6–9 | -0.09 | 27% | 14 Aug → | |
| 9–0 | 0.15 | 43% | 14 Aug → | ||
| 13–6 | 0.02 | 23% | 22 Jul → | ||
| 13–5 | 0.00 | 30% | 22 Jul → | ||
| 13–6 | 0.11 | 28% | 20 Jul → | ||
| 13–11 | 0.03 | 27% | 13 Jul → | ||
| 16–13 | 0.05 | 31% | 9 Jul → | ||
| 13–11 | 0.02 | 22% | 6 Jul → | ||
| 7–13 | 0.01 | 27% | 6 Jul → | ||
| 4–13 | -0.06 | 24% | 6 Jul → | ||
| 10–13 | 0.14 | 25% | 5 Jul → | ||
| 7–13 | 0.09 | 32% | 4 Jul → | ||
| 7–13 | 0.01 | 24% | 3 Jul → | ||
| 13–3 | 0.06 | 27% | 3 Jul → | ||
| 9–13 | -0.02 | 29% | 2 Jul → | ||
| 15–15 | 0.00 | 20% | 28 Jun → | ||
| 12–16 | 0.02 | 26% | 28 Jun → | ||
| 16–13 | 0.06 | 23% | 26 Jun → | ||
| 13–8 | 0.13 | 39% | 26 Jun → | ||
| 6–13 | 0.04 | 22% | 26 Jun → | ||
| 10–13 | -0.06 | 28% | 25 Jun → | ||
| 13–3 | 0.08 | 20% | 24 Jun → | ||
| 13–10 | -0.01 | 35% | 23 Jun → | ||
| 13–10 | -0.03 | 26% | 23 Jun → | ||
| 8–13 | -0.02 | 13% | 23 Jun → | ||
| 15–15 | 0.02 | 13% | 23 Jun → | ||
| 13–8 | 0.05 | 34% | 22 Jun → | ||
| 13–3 | 0.01 | 15% | 15 Jun → | ||
| 9–13 | 0.04 | 28% | 14 Jun → | ||
| 12–12 | 0.09 | 26% | 14 Jun → | ||
| 13–10 | 0.02 | 22% | 13 Jun → | ||
| 9–13 | -0.03 | 15% | 13 Jun → | ||
| 13–11 | 0.07 | 29% | 13 Jun → | ||
| 13–2 | 0.08 | 18% | 13 Jun → | ||
| 13–10 | 0.02 | 29% | 11 Jun → | ||
| 7–13 | 0.06 | 27% | 11 Jun → | ||
| 13–2 | 0.11 | 27% | 8 Jun → | ||
| 13–11 | 0.07 | 33% | 7 Jun → | ||
| 4–13 | -0.02 | 23% | 7 Jun → | ||
| 13–6 | 0.09 | 41% | 7 Jun → | ||
| 9–13 | 0.02 | 21% | 6 Jun → | ||
| 15–15 | 0.07 | 33% | 5 Jun → | ||
| 11–13 | 0.01 | 26% | 31 Aug → | ||
| 13–8 | 0.00 | 38% | 31 Aug → | ||
| 9–13 | -0.01 | 41% | 31 Aug → | ||
| 6–13 | -0.12 | 0% | 30 Aug → | ||
| 7–13 | -0.06 | 48% | 30 Aug → | ||
| 4–13 | -0.02 | 50% | 30 Aug → | ||
| 7–13 | -0.05 | 25% | 30 Jul → | ||
| 13–9 | 0.03 | 29% | 30 Jul → | ||
| 11–13 | 0.02 | 28% | 29 Jul → | ||
| 2–9 | -0.08 | 32% | 28 Jul → | ||
| 13–7 | 0.04 | 32% | 28 Jul → | ||
| 13–1 | 0.01 | 47% | 28 Jul → | ||
| 13–8 | 0.12 | 26% | 28 Jul → | ||
| 13–9 | -0.00 | 37% | 28 Jul → | ||
| 13–6 | 0.10 | 30% | 29 Jan → | ||
| 10–6 | 0.06 | 33% | 25 Dec → | ||
| 0–16 | -0.06 | 19% | 31 Aug → | ||
| 5–16 | -0.00 | 23% | 26 Aug → | ||
| 13–16 | -0.04 | 12% | 21 Aug → | ||
| 16–14 | 0.07 | 38% | 20 Aug → | ||
| 10–16 | -0.05 | 22% | 31 Jul → | ||
| 14–16 | -0.03 | 11% | 10 Jun → | ||
| 16–13 | -0.02 | 13% | 10 Jun → | ||
| 6–16 | -0.10 | 28% | 9 Jun → | ||
| 14–16 | -0.08 | 19% | 9 Jun → | ||
| 16–3 | 0.04 | 21% | 5 Jun → | ||
| 6–16 | -0.01 | 14% | 1 Jun → | ||
| 11–16 | -0.02 | 10% | 25 May → | ||
| 16–4 | 0.06 | 18% | 23 May → | ||
| 16–9 | -0.02 | 12% | 23 May → | ||
| 1–11 | -0.07 | 24% | 19 May → | ||
| 16–13 | 0.04 | 20% | 17 May → | ||
| 7–16 | -0.05 | 13% | 14 May → | ||
| 16–12 | 0.05 | 24% | 14 May → | ||
| 16–9 | 0.01 | 16% | 12 May → | ||
| 16–2 | 0.03 | 8% | 11 May → | ||
| 16–9 | 0.10 | 19% | 11 May → | ||
| 12–16 | 0.04 | 20% | 10 May → | ||
| 10–16 | 0.03 | 16% | 9 May → | ||
| 16–8 | -0.00 | 17% | 9 May → | ||
| 16–13 | -0.01 | 11% | 7 May → | ||
| 14–16 | 0.11 | 18% | 6 May → | ||
| 10–16 | 0.03 | 5% | 4 May → | ||
| 10–16 | -0.04 | 12% | 4 May → | ||
| 16–6 | 0.13 | 17% | 3 May → | ||
| 15–15 | -0.00 | 14% | 2 May → | ||
| 16–11 | 0.03 | 7% | 29 Apr → | ||
| 14–16 | 0.01 | 14% | 29 Apr → | ||
| 16–12 | 0.08 | 13% | 29 Apr → | ||
| 16–9 | 0.08 | 18% | 27 Apr → | ||
| 6–16 | 0.01 | 15% | 26 Apr → | ||
| 10–16 | -0.02 | 21% | 26 Apr → | ||
| 16–10 | 0.04 | 23% | 25 Apr → | ||
| 16–8 | 0.02 | 14% | 25 Apr → | ||
| 10–16 | -0.03 | 6% | 24 Apr → | ||
| 16–8 | 0.05 | 17% | 24 Apr → |
Match data via Leetify.