bekker — CS2 Stats
PROEACDenmarkAWPerSettings & gear profile →
76561199439779019[U:1:1479513291]Steam profile ↗✓ No bans
Rating over time
Faceit ELO
- At peak — 4,099
- Reached: 4,000 ELO · 3,500 ELO · 3,000 ELO · 2,500 ELO
- 4,000 ELO first seen 2026-08-28
- 3,500 ELO first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
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 | 53.8% | 52.8% |
| Shot accuracy | 4.0% | 13.7% |
| Kill/death ratio | 1.05 | 1.08 |
| Match win rate | 51.6% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerHigh utility contribution
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 96% playstyle similarity
Most alike: aim profile, opening-fight frequency.
Where you differ: higher 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 98 — the mechanical foundation is a clear strength.
Utility. Utility score of 76 — grenade impact well above the norm.
Areas to improve
Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.
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 8.4/10 (Strong), 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 | 22 | 12–10 | 55% | 0.02 | |
| A | 22 | 14–8 | 64% | 0.01 | |
| D | 17 | 5–12 | 29% | -0.01 | |
| C | 12 | 5–7 | 42% | 0.00 | |
| S | 11 | 8–3 | 73% | -0.00 | |
| D | 10 | 1–9 | 10% | -0.02 | |
| C | 5 | 2–3 | 40% | 0.00 | |
| — | 1 | 0–1 | 0% | 0.02 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (10% over 10). 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 resultsWLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 1394 | 56% | 1.29 | 17.7 |
| Mirage | 1390 | 49% | 1.24 | 17.1 |
| Anubis | 1006 | 55% | 1.28 | 17.9 |
| Nuke | 471 | 56% | 1.26 | 17.4 |
| Vertigo | 380 | 56% | 1.35 | 18.4 |
| Dust2 | 224 | 49% | 1.28 | 18.6 |
| Train | 172 | 52% | 1.26 | 17.6 |
| Overpass | 161 | 50% | 1.27 | 17.5 |
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.
10% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 8–13 | -0.03 | 17% | 24 Aug → | ||
| 16–14 | -0.01 | 22% | 24 Aug → | ||
| 11–13 | -0.01 | 56% | 24 Aug → | ||
| 13–7 | 0.01 | 0% | 24 Aug → | ||
| 13–4 | 0.01 | 21% | 23 Aug → | ||
| 10–13 | 0.01 | 15% | 19 Aug → | ||
| 13–9 | 0.05 | 17% | 19 Aug → | ||
| 8–13 | 0.04 | 21% | 19 Aug → | ||
| 13–5 | 0.05 | 35% | 19 Aug → | ||
| 7–13 | -0.09 | 8% | 18 Aug → | ||
| 7–13 | -0.05 | 30% | 18 Aug → | ||
| 13–3 | 0.06 | 25% | 18 Aug → | ||
| 13–6 | 0.00 | 14% | 18 Aug → | ||
| 19–16 | 0.01 | 21% | 16 Aug → | ||
| 13–4 | 0.05 | 55% | 16 Aug → | ||
| 6–13 | -0.02 | 24% | 16 Aug → | ||
| 13–8 | 0.06 | 13% | 16 Aug → | ||
| 13–6 | -0.05 | 25% | 16 Aug → | ||
| 13–9 | 0.05 | 43% | 15 Aug → | ||
| 8–13 | -0.00 | 14% | 15 Aug → | ||
| 13–10 | 0.01 | 22% | 15 Aug → | ||
| 8–13 | -0.01 | 23% | 14 Aug → | ||
| 13–4 | 0.03 | 11% | 14 Aug → | ||
| 16–14 | -0.00 | 10% | 14 Aug → | ||
| 13–4 | 0.05 | 25% | 14 Aug → | ||
| 13–10 | 0.02 | 32% | 14 Aug → | ||
| 9–13 | -0.03 | 6% | 8 Aug → | ||
| 11–13 | 0.01 | 10% | 8 Aug → | ||
| 13–5 | 0.07 | 13% | 7 Aug → | ||
| 13–7 | 0.08 | 19% | 7 Aug → | ||
| 15–19 | -0.02 | 19% | 7 Aug → | ||
| 10–13 | -0.03 | 29% | 7 Aug → | ||
| 5–13 | -0.08 | 6% | 4 Aug → | ||
| 13–16 | -0.00 | 18% | 4 Aug → | ||
| 5–13 | -0.08 | 6% | 4 Aug → | ||
| 13–16 | -0.00 | 18% | 4 Aug → | ||
| 19–17 | 0.02 | 30% | 31 Jul → | ||
| 8–13 | 0.01 | 31% | 31 Jul → | ||
| 13–10 | -0.06 | 13% | 31 Jul → | ||
| 19–17 | 0.02 | 30% | 31 Jul → | ||
| 13–10 | -0.06 | 13% | 31 Jul → | ||
| 8–13 | 0.01 | 31% | 31 Jul → | ||
| 13–7 | -0.01 | 15% | 31 Jul → | ||
| 13–3 | 0.02 | 29% | 31 Jul → | ||
| 13–3 | 0.02 | 29% | 31 Jul → | ||
| 13–7 | -0.01 | 15% | 31 Jul → | ||
| 11–13 | 0.04 | 15% | 31 Jul → | ||
| 6–13 | -0.03 | 35% | 31 Jul → | ||
| 11–13 | 0.04 | 15% | 31 Jul → | ||
| 6–13 | -0.03 | 35% | 31 Jul → | ||
| 13–5 | 0.02 | 28% | 17 Jul → | ||
| 16–14 | -0.00 | 38% | 9 Jul → | ||
| 7–13 | -0.03 | 18% | 9 Jul → | ||
| 6–13 | -0.08 | 16% | 9 Jul → | ||
| 2–13 | -0.08 | 32% | 7 Jul → | ||
| 13–5 | -0.00 | 14% | 5 Jul → | ||
| 13–8 | 0.01 | 22% | 5 Jul → | ||
| 11–13 | -0.02 | 26% | 29 Jun → | ||
| 8–13 | 0.02 | 21% | 25 Jun → | ||
| 14–16 | 0.03 | 14% | 25 Jun → | ||
| 8–13 | 0.02 | 23% | 24 Jun → | ||
| 11–13 | 0.05 | 17% | 24 Jun → | ||
| 13–5 | 0.06 | 22% | 23 Jun → | ||
| 13–8 | 0.02 | 19% | 23 Jun → | ||
| 4–13 | -0.08 | 13% | 16 Jun → | ||
| 9–13 | -0.04 | 11% | 16 Jun → | ||
| 5–13 | -0.05 | 24% | 13 Jun → | ||
| 7–13 | 0.04 | 32% | 13 Jun → | ||
| 7–13 | 0.04 | 32% | 13 Jun → | ||
| 5–13 | -0.05 | 24% | 13 Jun → | ||
| 16–13 | 0.09 | 13% | 13 Jun → | ||
| 13–11 | 0.03 | 31% | 13 Jun → | ||
| 8–13 | -0.03 | 14% | 13 Jun → | ||
| 16–13 | 0.09 | 13% | 13 Jun → | ||
| 8–13 | -0.03 | 14% | 13 Jun → | ||
| 13–11 | 0.03 | 31% | 13 Jun → | ||
| 26–28 | -0.01 | 21% | 13 Jun → | ||
| 7–13 | 0.05 | 22% | 13 Jun → | ||
| 16–14 | 0.00 | 11% | 13 Jun → | ||
| 7–13 | 0.05 | 22% | 13 Jun → | ||
| 16–14 | 0.00 | 11% | 13 Jun → | ||
| 26–28 | -0.01 | 21% | 13 Jun → | ||
| 16–14 | 0.06 | 47% | 13 Jun → | ||
| 6–13 | -0.04 | 19% | 13 Jun → | ||
| 13–10 | 0.04 | 32% | 13 Jun → | ||
| 16–14 | 0.06 | 47% | 13 Jun → | ||
| 6–13 | -0.04 | 19% | 13 Jun → | ||
| 13–10 | 0.04 | 32% | 13 Jun → | ||
| 16–12 | -0.01 | 26% | 9 Jun → | ||
| 6–13 | 0.02 | 23% | 2 Jun → | ||
| 11–13 | 0.01 | 18% | 31 May → | ||
| 6–13 | -0.07 | 29% | 29 May → | ||
| 8–13 | -0.01 | 34% | 27 May → | ||
| 5–13 | -0.08 | 15% | 24 May → | ||
| 8–13 | 0.02 | 17% | 23 May → | ||
| 13–5 | 0.00 | 25% | 23 May → | ||
| 2–2 | -0.06 | 0% | 23 May → | ||
| 13–3 | 0.01 | 7% | 23 May → | ||
| 13–6 | -0.01 | 22% | 21 May → | ||
| 9–13 | -0.02 | 6% | 21 May → |
Match data via Leetify.