✪ Bekdragom — CS2 Stats
76561198091506418[U:1:131240690]
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 | vs Level 10 |
|---|---|---|---|
| Headshot rate | 54.9% | 52.8% | above |
| Shot accuracy | 21.9% | 13.7% | above |
| Kill/death ratio | 0.85 | 1.08 | 0.23 short |
| Match win rate | 40.8% | 49.2% | 8.4% short |
This profile matches the typical Level 10 player on 2 of 4 comparable metrics.
Widest gap: Kill/death ratio. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -60pp win rate · -0.04 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
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-fight frequency, positioning profile.
Where you differ: lower utility contribution; lower aim 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
Areas to improve
Reaction time. 606ms 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 6.9/10 (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 |
|---|---|---|---|---|---|
| A | 18 | 11–7 | 61% | 0.04 | |
| S | 18 | 12–6 | 67% | 0.06 | |
| A | 13 | 8–5 | 62% | 0.02 | |
| D | 12 | 4–8 | 33% | 0.03 | |
| S | 10 | 9–1 | 90% | 0.05 | |
| S | 9 | 7–2 | 78% | 0.04 | |
| S | 7 | 5–2 | 71% | 0.04 | |
| — | 4 | 3–1 | 75% | 0.06 | |
| — | 2 | 0–2 | 0% | -0.02 | |
| — | 2 | 1–1 | 50% | 0.02 | |
| rooftop | — | 1 | 1–0 | 100% | 0.03 |
| grail | — | 1 | 1–0 | 100% | 0.07 |
| whistle | — | 1 | 1–0 | 100% | 0.22 |
| palais | — | 1 | 1–0 | 100% | 0.01 |
| memento | — | 1 | 0–1 | 0% | -0.03 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (33% over 12). 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 resultsWWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 12 | 67% | 1.25 | 17.0 |
| Anubis | 11 | 73% | 1.14 | 18.3 |
| Mirage | 8 | 62% | 1.54 | 17.9 |
| Vertigo | 4 | 50% | 1.06 | 13.5 |
| Nuke | 4 | 75% | 1.50 | 15.8 |
| Dust2 | 3 | 33% | 1.21 | 18.0 |
| Inferno | 1 | 0% | 0.75 | 12.0 |
| Train | 1 | 0% | 1.00 | 14.0 |
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
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 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | 0.15 | 26% | 16 Aug → | ||
| 12–12 | 0.03 | 21% | 13 Aug → | ||
| 15–15 | 0.04 | 17% | 6 Aug → | ||
| 10–13 | -0.02 | 27% | 3 Jul → | ||
| 6–13 | -0.06 | 50% | 3 Jul → | ||
| 6–13 | 0.08 | 18% | 10 Jan → | ||
| 13–2 | 0.09 | 31% | 10 Jan → | ||
| 13–8 | 0.10 | 31% | 2 Jan → | ||
| 1–13 | -0.07 | 16% | 2 Jan → | ||
| 1–7 | 0.00 | 0% | 27 Dec → | ||
| 12–4 | 0.13 | 15% | 27 Dec → | ||
| 13–4 | 0.08 | 36% | 25 Dec → | ||
| 13–6 | 0.07 | 24% | 20 Dec → | ||
| 10–13 | 0.08 | 23% | 20 Dec → | ||
| 13–4 | 0.11 | 22% | 20 Dec → | ||
| 13–7 | 0.04 | 21% | 20 Dec → | ||
| 13–9 | -0.00 | 20% | 20 Dec → | ||
| 13–7 | 0.16 | 14% | 20 Dec → | ||
| 13–6 | 0.01 | 41% | 18 Dec → | ||
| 13–3 | 0.08 | 25% | 18 Dec → | ||
| 10–13 | 0.05 | 12% | 18 Dec → | ||
| rooftop | 9–5 | 0.03 | 25% | 18 Dec → | |
| 5–0 | 0.05 | 10% | 18 Dec → | ||
| 13–10 | 0.03 | 13% | 16 Dec → | ||
| 10–13 | 0.01 | 18% | 16 Dec → | ||
| 9–13 | -0.03 | 25% | 30 Sept → | ||
| 13–4 | 0.01 | 37% | 14 Sept → | ||
| 6–9 | -0.18 | 23% | 8 Sept → | ||
| 4–13 | -0.03 | 21% | 22 Jul → | ||
| 13–3 | 0.01 | 21% | 22 Jul → | ||
| 13–5 | 0.03 | 9% | 20 Jul → | ||
| 2–9 | -0.10 | 10% | 20 Jul → | ||
| 7–9 | 0.10 | 33% | 20 Jul → | ||
| 13–6 | 0.05 | 21% | 8 Jul → | ||
| 13–10 | 0.02 | 29% | 27 Jun → | ||
| 13–2 | 0.03 | 18% | 27 Jun → | ||
| 4–9 | -0.00 | 14% | 27 Jun → | ||
| 13–11 | 0.07 | 28% | 30 May → | ||
| 13–5 | 0.14 | 22% | 18 May → | ||
| 13–3 | 0.08 | 26% | 10 May → | ||
| grail | 13–6 | 0.07 | 38% | 10 May → | |
| 8–13 | -0.05 | 11% | 24 Apr → | ||
| 13–6 | 0.13 | 19% | 6 Apr → | ||
| 13–4 | 0.02 | 22% | 6 Apr → | ||
| 13–8 | 0.04 | 26% | 6 Apr → | ||
| 5–13 | -0.04 | 20% | 6 Apr → | ||
| 5–9 | -0.05 | 64% | 5 Apr → | ||
| whistle | 9–6 | 0.22 | 29% | 5 Apr → | |
| palais | 9–4 | 0.01 | 26% | 5 Apr → | |
| 9–3 | 0.17 | 14% | 5 Apr → | ||
| 9–2 | 0.11 | 39% | 5 Apr → | ||
| 11–13 | 0.00 | 22% | 5 Apr → | ||
| 13–10 | 0.08 | 15% | 5 Apr → | ||
| 13–3 | 0.07 | 26% | 2 Apr → | ||
| 13–11 | -0.00 | 16% | 2 Apr → | ||
| 13–8 | 0.06 | 15% | 2 Apr → | ||
| 11–13 | -0.02 | 9% | 2 Apr → | ||
| 13–10 | 0.02 | 15% | 1 Apr → | ||
| 4–13 | 0.02 | 48% | 1 Apr → | ||
| 13–6 | -0.01 | 21% | 1 Apr → | ||
| 4–13 | 0.01 | 38% | 25 Mar → | ||
| 13–10 | 0.04 | 22% | 14 Feb → | ||
| 12–12 | 0.09 | 32% | 14 Feb → | ||
| 9–13 | 0.00 | 21% | 18 Jan → | ||
| 13–4 | 0.07 | 21% | 2 Nov → | ||
| 13–8 | 0.02 | 26% | 2 Nov → | ||
| 9–13 | -0.01 | 32% | 2 Nov → | ||
| 13–5 | 0.04 | 20% | 30 Oct → | ||
| 13–6 | 0.02 | 18% | 30 Oct → | ||
| 9–13 | -0.02 | 23% | 29 Oct → | ||
| 6–13 | -0.07 | 18% | 21 Oct → | ||
| 13–4 | 0.00 | 10% | 21 Oct → | ||
| 11–13 | 0.04 | 18% | 20 Oct → | ||
| 13–7 | 0.02 | 20% | 19 Oct → | ||
| 13–5 | 0.02 | 21% | 19 Oct → | ||
| 13–6 | 0.17 | 27% | 17 Oct → | ||
| 11–13 | -0.04 | 29% | 14 Oct → | ||
| 13–6 | 0.08 | 26% | 14 Oct → | ||
| 13–8 | 0.07 | 31% | 13 Oct → | ||
| 13–5 | 0.08 | 31% | 13 Oct → | ||
| 10–13 | 0.08 | 19% | 13 Oct → | ||
| 13–9 | 0.06 | 23% | 12 Oct → | ||
| memento | 5–9 | -0.03 | 44% | 12 Oct → | |
| 13–9 | -0.01 | 24% | 12 Oct → | ||
| 13–3 | 0.15 | 25% | 10 Oct → | ||
| 13–7 | -0.02 | 20% | 10 Oct → | ||
| 5–13 | -0.06 | 33% | 9 Oct → | ||
| 13–6 | 0.14 | 29% | 7 Oct → | ||
| 13–9 | 0.04 | 26% | 5 Oct → | ||
| 13–11 | -0.02 | 18% | 1 Oct → | ||
| 3–1 | 0.13 | 30% | 1 Oct → | ||
| 13–8 | -0.00 | 17% | 30 Sept → | ||
| 13–8 | 0.19 | 40% | 29 Sept → | ||
| 9–0 | 0.15 | 17% | 29 Sept → | ||
| 13–7 | 0.05 | 22% | 29 Sept → | ||
| 13–1 | 0.12 | 33% | 29 Sept → | ||
| 3–13 | 0.03 | 32% | 28 Sept → | ||
| 13–4 | 0.08 | 40% | 28 Sept → | ||
| 8–13 | -0.01 | 35% | 26 Sept → | ||
| 10–13 | 0.03 | 24% | 26 Sept → |
Match data via Leetify.
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