ad0rfin — CS2 Stats
76561198077799981[U:1:117534253]✓ No bans
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=3,007), 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 | 68.4% | 52.0% |
| Shot accuracy | 15.3% | 13.7% |
| Kill/death ratio | 0.86 | 1.08 |
| Match win rate | 43.4% | 48.8% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate · +0.03 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
Sharp aimerExcellent counter-strafingLimited utility dependence
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 89% playstyle similarity
Most alike: aim profile, opening-fight frequency.
Where you differ: lower opening-duel success; 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 94 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 43 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.
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 6.2/10 (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 |
|---|---|---|---|---|---|
| B | 43 | 21–22 | 49% | 0.01 | |
| C | 14 | 6–8 | 43% | -0.01 | |
| C | 12 | 5–7 | 42% | 0.02 | |
| C | 10 | 4–6 | 40% | 0.03 | |
| D | 6 | 2–4 | 33% | -0.00 | |
| B | 6 | 3–3 | 50% | 0.07 | |
| — | 3 | 1–2 | 33% | 0.03 | |
| — | 3 | 1–2 | 33% | -0.01 | |
| — | 2 | 1–1 | 50% | 0.00 | |
| grail | — | 1 | 0–1 | 0% | -0.00 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Overpass 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 resultsWWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 1673 | 55% | 1.20 | 17.1 |
| Dust2 | 602 | 53% | 1.16 | 16.2 |
| Ancient | 497 | 48% | 1.14 | 16.1 |
| Anubis | 426 | 52% | 1.22 | 17.1 |
| Nuke | 252 | 50% | 1.09 | 16.4 |
| Overpass | 130 | 49% | 1.21 | 16.6 |
| Inferno | 102 | 46% | 1.07 | 15.4 |
| Vertigo | 63 | 48% | 1.21 | 17.4 |
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.
- 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 0.4591 — 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 26.206% — 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 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 3–13 | -0.04 | 30% | 2 Aug → | ||
| 2–13 | -0.03 | 45% | 2 Aug → | ||
| 13–6 | 0.06 | 29% | 2 Aug → | ||
| 13–3 | 0.08 | 38% | 1 Aug → | ||
| 13–11 | 0.02 | 41% | 1 Aug → | ||
| 5–13 | 0.01 | 42% | 1 Aug → | ||
| 5–13 | -0.02 | 29% | 1 Aug → | ||
| 13–7 | 0.06 | 26% | 1 Aug → | ||
| 13–5 | -0.03 | 17% | 1 Aug → | ||
| 11–13 | 0.06 | 36% | 22 Jun → | ||
| 3–13 | -0.03 | 45% | 16 Jun → | ||
| 11–13 | -0.03 | 26% | 14 Jun → | ||
| 9–13 | -0.08 | 30% | 13 Jun → | ||
| 13–4 | 0.03 | 27% | 13 Jun → | ||
| 13–7 | 0.03 | 23% | 22 May → | ||
| 10–13 | -0.01 | 17% | 18 Apr → | ||
| 14–16 | 0.03 | 23% | 18 Apr → | ||
| 6–13 | -0.04 | 33% | 18 Apr → | ||
| 5–13 | -0.06 | 9% | 18 Apr → | ||
| 13–16 | 0.06 | 24% | 1 Apr → | ||
| 2–13 | 0.00 | 38% | 31 Mar → | ||
| 0–13 | -0.06 | 29% | 31 Mar → | ||
| 13–8 | 0.08 | 13% | 31 Mar → | ||
| 16–19 | -0.02 | 18% | 31 Mar → | ||
| 6–13 | -0.06 | 27% | 20 Mar → | ||
| 9–13 | 0.04 | 27% | 26 Feb → | ||
| 2–13 | -0.07 | 17% | 26 Feb → | ||
| 9–13 | -0.02 | 22% | 26 Feb → | ||
| 8–13 | -0.03 | 33% | 10 Feb → | ||
| 13–6 | 0.09 | 31% | 6 Feb → | ||
| 4–13 | 0.02 | 42% | 31 Jan → | ||
| 19–16 | -0.01 | 28% | 16 Jan → | ||
| 13–5 | -0.02 | 33% | 19 Nov → | ||
| 13–11 | 0.04 | 33% | 15 Nov → | ||
| 9–7 | 0.10 | 15% | 12 Nov → | ||
| 13–10 | 0.02 | 25% | 7 Oct → | ||
| 13–11 | -0.00 | 17% | 5 Oct → | ||
| 4–13 | -0.07 | 16% | 30 Sept → | ||
| 12–16 | -0.03 | 29% | 22 Sept → | ||
| 1–13 | -0.06 | 18% | 22 Sept → | ||
| 13–0 | 0.07 | 34% | 8 Jul → | ||
| grail | 6–13 | -0.00 | 80% | 2 Jul → | |
| 9–13 | -0.00 | 23% | 8 Jun → | ||
| 5–13 | -0.03 | 27% | 23 May → | ||
| 11–13 | 0.00 | 20% | 12 May → | ||
| 13–5 | 0.04 | 19% | 12 May → | ||
| 13–4 | 0.12 | 26% | 12 May → | ||
| 9–13 | 0.03 | 26% | 7 Feb → | ||
| 13–2 | 0.09 | 48% | 7 Feb → | ||
| 13–9 | 0.16 | 33% | 4 Feb → | ||
| 10–13 | -0.04 | 25% | 30 Jan → | ||
| 13–5 | -0.02 | 26% | 27 Jan → | ||
| 9–13 | -0.01 | 18% | 13 Jan → | ||
| 13–1 | 0.12 | 52% | 31 Dec → | ||
| 12–16 | 0.02 | 26% | 15 Dec → | ||
| 11–13 | 0.11 | 25% | 23 Oct → | ||
| 10–13 | -0.04 | 22% | 4 Sept → | ||
| 6–13 | -0.02 | 36% | 4 Sept → | ||
| 16–13 | 0.07 | 32% | 31 Aug → | ||
| 8–13 | -0.07 | 37% | 23 Jul → | ||
| 9–13 | -0.02 | 27% | 17 Jun → | ||
| 9–13 | -0.07 | 32% | 22 May → | ||
| 13–8 | 0.12 | 33% | 20 May → | ||
| 9–13 | 0.04 | 27% | 16 May → | ||
| 6–13 | 0.01 | 28% | 14 May → | ||
| 6–13 | -0.00 | 28% | 3 May → | ||
| 13–1 | 0.18 | 27% | 1 May → | ||
| 13–10 | -0.01 | 27% | 23 Apr → | ||
| 9–13 | -0.06 | 52% | 22 Apr → | ||
| 7–13 | 0.06 | 31% | 11 Apr → | ||
| 9–12 | -0.04 | 53% | 9 Mar → | ||
| 4–13 | 0.03 | 32% | 8 Mar → | ||
| 19–15 | 0.03 | 31% | 8 Mar → | ||
| 13–9 | 0.01 | 36% | 7 Mar → | ||
| 8–13 | -0.01 | 47% | 7 Mar → | ||
| 18–22 | 0.03 | 36% | 5 Mar → | ||
| 13–2 | 0.15 | 34% | 5 Mar → | ||
| 13–6 | 0.02 | 35% | 5 Mar → | ||
| 13–7 | -0.02 | 47% | 4 Mar → | ||
| 13–11 | 0.03 | 23% | 4 Mar → | ||
| 13–3 | 0.05 | 48% | 4 Mar → | ||
| 13–8 | -0.02 | 41% | 4 Mar → | ||
| 16–14 | -0.01 | 21% | 4 Mar → | ||
| 13–7 | 0.05 | 37% | 3 Mar → | ||
| 13–2 | -0.00 | 48% | 3 Mar → | ||
| 13–6 | 0.09 | 31% | 3 Mar → | ||
| 9–13 | -0.02 | 52% | 2 Mar → | ||
| 1–13 | -0.04 | 34% | 2 Mar → | ||
| 13–5 | 0.00 | 46% | 2 Mar → | ||
| 6–13 | 0.03 | 39% | 2 Mar → | ||
| 9–13 | -0.02 | 29% | 29 Feb → | ||
| 23–25 | -0.04 | 26% | 29 Feb → | ||
| 13–10 | 0.02 | 17% | 28 Feb → | ||
| 11–13 | 0.02 | 25% | 27 Feb → | ||
| 13–7 | 0.01 | 41% | 27 Feb → | ||
| 13–5 | 0.06 | 50% | 27 Feb → | ||
| 13–9 | 0.02 | 39% | 27 Feb → | ||
| 11–13 | -0.02 | 24% | 26 Feb → | ||
| 10–13 | 0.01 | 30% | 25 Feb → | ||
| 13–6 | 0.11 | 33% | 25 Feb → |
Match data via Leetify.