dyami — CS2 Stats
76561198217262368[U:1:256996640]✓ No bans
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), 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 10 median |
|---|---|---|
| Headshot rate | 50.5% | 52.8% |
| Shot accuracy | 10.5% | 13.7% |
| Kill/death ratio | 1.10 | 1.08 |
| Match win rate | 48.9% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate · -0.00 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 b1t 96% playstyle similarity
Most alike: utility contribution, positioning 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
Strengths
Aim. Aim score of 85 — the mechanical foundation is a clear strength.
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 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 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 |
|---|---|---|---|---|---|
| A | 33 | 20–13 | 61% | -0.00 | |
| B | 22 | 11–11 | 50% | 0.00 | |
| A | 20 | 12–8 | 60% | 0.02 | |
| S | 10 | 7–3 | 70% | 0.02 | |
| S | 7 | 5–2 | 71% | 0.01 | |
| — | 4 | 3–1 | 75% | 0.02 | |
| — | 3 | 2–1 | 67% | 0.10 | |
| — | 1 | 0–1 | 0% | 0.03 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (50% over 22). Start with the 6 essential Dust 2 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 resultsWWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 1150 | 52% | 1.21 | 17.5 |
| Dust2 | 561 | 51% | 1.10 | 16.3 |
| Ancient | 543 | 51% | 1.14 | 17.0 |
| Anubis | 493 | 54% | 1.23 | 17.5 |
| Inferno | 321 | 61% | 1.18 | 16.9 |
| Nuke | 137 | 45% | 1.12 | 16.4 |
| Vertigo | 112 | 59% | 1.44 | 19.7 |
| Overpass | 50 | 54% | 0.99 | 14.9 |
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 36.2303% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 16–13 | 0.04 | 35% | 25 Aug → | ||
| 13–11 | -0.02 | 18% | 24 Aug → | ||
| 14–16 | -0.03 | 18% | 24 Aug → | ||
| 8–13 | -0.02 | 26% | 19 Aug → | ||
| 13–11 | 0.03 | 31% | 19 Aug → | ||
| 13–8 | -0.05 | 25% | 19 Aug → | ||
| 13–7 | 0.00 | 30% | 19 Aug → | ||
| 13–6 | 0.02 | 39% | 19 Aug → | ||
| 17–19 | 0.03 | 25% | 19 Aug → | ||
| 13–9 | -0.06 | 23% | 11 Aug → | ||
| 13–10 | -0.01 | 19% | 6 Aug → | ||
| 10–13 | -0.02 | 15% | 29 Jul → | ||
| 14–16 | -0.02 | 31% | 26 Jul → | ||
| 16–12 | -0.01 | 30% | 22 Jul → | ||
| 13–5 | 0.01 | 33% | 21 Jul → | ||
| 11–13 | -0.03 | 30% | 19 Jul → | ||
| 9–13 | -0.01 | 31% | 19 Jul → | ||
| 16–19 | 0.03 | 15% | 18 Jul → | ||
| 10–13 | -0.01 | 32% | 17 Jul → | ||
| 13–1 | 0.07 | 28% | 16 Jul → | ||
| 7–13 | -0.01 | 33% | 8 Jul → | ||
| 13–7 | 0.12 | 18% | 2 Jul → | ||
| 13–4 | 0.02 | 21% | 28 Jun → | ||
| 1–13 | -0.06 | 22% | 23 Jun → | ||
| 13–16 | -0.04 | 21% | 25 May → | ||
| 8–13 | -0.02 | 30% | 14 May → | ||
| 9–13 | -0.02 | 29% | 27 Apr → | ||
| 7–13 | -0.03 | 29% | 24 Apr → | ||
| 16–14 | 0.00 | 18% | 24 Apr → | ||
| 4–13 | -0.02 | 24% | 21 Apr → | ||
| 11–13 | 0.03 | 27% | 20 Apr → | ||
| 13–9 | 0.04 | 21% | 19 Apr → | ||
| 14–16 | 0.03 | 18% | 19 Apr → | ||
| 13–8 | -0.01 | 21% | 16 Apr → | ||
| 13–8 | -0.02 | 24% | 16 Apr → | ||
| 13–11 | -0.02 | 25% | 15 Apr → | ||
| 13–11 | 0.01 | 23% | 13 Apr → | ||
| 13–11 | 0.00 | 30% | 13 Apr → | ||
| 11–13 | 0.05 | 25% | 9 Apr → | ||
| 19–16 | 0.02 | 25% | 8 Apr → | ||
| 13–8 | -0.04 | 24% | 7 Apr → | ||
| 6–13 | 0.00 | 24% | 7 Apr → | ||
| 13–10 | 0.08 | 32% | 7 Apr → | ||
| 13–2 | 0.06 | 21% | 6 Apr → | ||
| 13–4 | 0.00 | 26% | 5 Apr → | ||
| 16–13 | -0.01 | 17% | 5 Apr → | ||
| 7–13 | -0.04 | 43% | 5 Apr → | ||
| 13–11 | 0.06 | 34% | 29 Mar → | ||
| 13–11 | -0.01 | 32% | 27 Mar → | ||
| 13–4 | 0.07 | 24% | 27 Mar → | ||
| 6–13 | 0.04 | 43% | 27 Mar → | ||
| 19–15 | 0.07 | 30% | 26 Mar → | ||
| 13–8 | 0.09 | 24% | 26 Mar → | ||
| 13–10 | -0.00 | 25% | 26 Mar → | ||
| 8–13 | -0.05 | 31% | 25 Mar → | ||
| 15–19 | 0.01 | 26% | 24 Mar → | ||
| 13–11 | 0.03 | 26% | 23 Mar → | ||
| 9–13 | 0.02 | 29% | 20 Mar → | ||
| 13–9 | 0.07 | 42% | 18 Mar → | ||
| 6–13 | -0.06 | 18% | 18 Mar → | ||
| 13–11 | 0.05 | 22% | 17 Mar → | ||
| 13–8 | 0.07 | 23% | 17 Mar → | ||
| 10–13 | -0.01 | 20% | 16 Mar → | ||
| 13–10 | -0.01 | 29% | 16 Mar → | ||
| 13–10 | 0.02 | 23% | 16 Mar → | ||
| 13–10 | 0.02 | 19% | 15 Mar → | ||
| 13–8 | -0.01 | 24% | 15 Mar → | ||
| 13–8 | -0.02 | 35% | 15 Mar → | ||
| 13–6 | 0.03 | 42% | 13 Mar → | ||
| 6–13 | 0.02 | 16% | 10 Mar → | ||
| 3–13 | -0.01 | 23% | 10 Mar → | ||
| 11–13 | 0.18 | 38% | 10 Mar → | ||
| 13–3 | 0.01 | 27% | 9 Mar → | ||
| 13–3 | 0.02 | 26% | 9 Mar → | ||
| 13–2 | 0.06 | 15% | 9 Mar → | ||
| 13–5 | -0.06 | 18% | 9 Mar → | ||
| 8–13 | -0.03 | 28% | 8 Mar → | ||
| 13–6 | 0.01 | 32% | 8 Mar → | ||
| 13–1 | 0.06 | 27% | 8 Mar → | ||
| 4–13 | 0.01 | 27% | 8 Mar → | ||
| 0–13 | -0.08 | 27% | 8 Mar → | ||
| 13–9 | 0.03 | 25% | 7 Mar → | ||
| 13–4 | 0.03 | 12% | 7 Mar → | ||
| 12–12 | 0.03 | 37% | 6 Mar → | ||
| 13–3 | 0.10 | 33% | 6 Mar → | ||
| 15–15 | 0.02 | 36% | 6 Mar → | ||
| 13–6 | 0.06 | 29% | 5 Mar → | ||
| 13–10 | -0.01 | 21% | 5 Mar → | ||
| 13–3 | 0.09 | 32% | 5 Mar → | ||
| 13–5 | 0.03 | 29% | 5 Mar → | ||
| 16–14 | -0.02 | 32% | 5 Mar → | ||
| 13–7 | -0.03 | 32% | 5 Mar → | ||
| 13–4 | 0.01 | 26% | 5 Mar → | ||
| 9–13 | -0.01 | 27% | 4 Mar → | ||
| 7–13 | -0.04 | 30% | 4 Mar → | ||
| 11–13 | 0.00 | 40% | 4 Mar → | ||
| 14–16 | -0.01 | 25% | 3 Mar → | ||
| 10–13 | 0.00 | 24% | 3 Mar → | ||
| 13–10 | 0.01 | 18% | 3 Mar → | ||
| 13–11 | 0.01 | 22% | 3 Mar → |
Match data via Leetify.