hallzerk — CS2 Stats
PRO“Håkon”NRGNorwayAWPerSettings & gear profile →
NO76561198060367310[U:1:100101582]Steam profile ↗✓ No bans
Rating over time
Faceit ELO
- At peak — 3,548
- Next: 4,000 ELO at 4,000 — 452 to go
- Reached: 3,500 ELO · 3,000 ELO · 2,500 ELO · Level 10
- 3,500 ELO first seen 2026-08-28
- 3,000 ELO first seen 2026-08-28
Premier CS Rating
- At peak — 27,616
- Next: Gold band at 30,000 — 2,384 to go
- Reached: Red band · Pink band · Purple band · Blue band
- Red band first seen 2026-08-28
- Pink band first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
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: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong 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 device 98% playstyle similarity
Most alike: aim profile, opening-fight frequency.
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.
CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
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 62% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.
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 8.3/10 (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 |
|---|---|---|---|---|---|
| S | 26 | 17–9 | 65% | 0.02 | |
| S | 18 | 12–6 | 67% | 0.06 | |
| S | 13 | 10–3 | 77% | 0.02 | |
| B | 12 | 6–6 | 50% | 0.01 | |
| C | 8 | 3–5 | 38% | 0.01 | |
| S | 8 | 6–2 | 75% | 0.04 | |
| S | 8 | 8–0 | 100% | 0.04 | |
| S | 6 | 6–0 | 100% | 0.07 | |
| — | 1 | 1–0 | 100% | -0.04 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Ancient 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 resultsWLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 109 | 53% | 1.38 | 19.4 |
| Mirage | 100 | 59% | 1.29 | 18.7 |
| Ancient | 95 | 60% | 1.33 | 17.9 |
| Nuke | 83 | 66% | 1.40 | 18.2 |
| Anubis | 83 | 55% | 1.31 | 16.9 |
| Inferno | 46 | 72% | 1.45 | 18.9 |
| Train | 20 | 85% | 1.56 | 17.6 |
| Overpass | 15 | 80% | 1.30 | 16.7 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
Inventory
Skill profile
Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 6–13 | -0.02 | 30% | 20 Aug → | ||
| 8–13 | -0.01 | 31% | 18 Aug → | ||
| 13–9 | -0.00 | 25% | 15 Aug → | ||
| 7–13 | 0.08 | 26% | 9 Aug → | ||
| 13–10 | -0.02 | 20% | 9 Aug → | ||
| 8–13 | 0.01 | 19% | 9 Aug → | ||
| 13–9 | -0.02 | 25% | 8 Aug → | ||
| 11–13 | -0.01 | 28% | 8 Aug → | ||
| 13–2 | 0.04 | 20% | 8 Aug → | ||
| 13–4 | 0.02 | 16% | 7 Aug → | ||
| 13–0 | 0.13 | 36% | 7 Aug → | ||
| 16–13 | 0.01 | 45% | 3 Aug → | ||
| 13–7 | 0.06 | 40% | 3 Aug → | ||
| 13–5 | 0.03 | 25% | 3 Aug → | ||
| 13–7 | 0.05 | 7% | 3 Aug → | ||
| 13–9 | -0.01 | 16% | 2 Aug → | ||
| 13–1 | 0.10 | 35% | 2 Aug → | ||
| 5–13 | -0.03 | 26% | 2 Aug → | ||
| 8–13 | -0.02 | 34% | 2 Aug → | ||
| 13–10 | 0.10 | 43% | 31 Jul → | ||
| 13–11 | 0.07 | 33% | 30 Jul → | ||
| 13–5 | 0.13 | 52% | 30 Jul → | ||
| 13–4 | 0.05 | 29% | 30 Jul → | ||
| 10–13 | 0.04 | 41% | 30 Jul → | ||
| 6–13 | -0.02 | 22% | 30 Jul → | ||
| 13–2 | 0.01 | 43% | 30 Jul → | ||
| 13–8 | 0.03 | 33% | 30 Jul → | ||
| 10–13 | 0.01 | 31% | 29 Jul → | ||
| 13–10 | 0.05 | 38% | 29 Jul → | ||
| 16–13 | 0.03 | 30% | 28 Jul → | ||
| 13–6 | 0.06 | 38% | 28 Jul → | ||
| 16–14 | -0.02 | 26% | 27 Jul → | ||
| 13–8 | 0.07 | 29% | 26 Jul → | ||
| 16–14 | 0.05 | 37% | 3 Jul → | ||
| 13–9 | 0.03 | 28% | 23 Apr → | ||
| 4–13 | -0.04 | 24% | 21 Apr → | ||
| 13–11 | 0.00 | 26% | 21 Apr → | ||
| 13–10 | -0.02 | 43% | 14 Apr → | ||
| 4–13 | -0.01 | 32% | 7 Apr → | ||
| 13–4 | 0.01 | 15% | 6 Apr → | ||
| 8–13 | 0.04 | 27% | 20 Mar → | ||
| 13–11 | 0.05 | 29% | 18 Mar → | ||
| 13–8 | 0.01 | 48% | 12 Mar → | ||
| 13–9 | 0.04 | 50% | 13 Feb → | ||
| 13–5 | 0.04 | 30% | 13 Feb → | ||
| 10–13 | 0.01 | 21% | 12 Feb → | ||
| 13–7 | 0.01 | 18% | 12 Feb → | ||
| 13–9 | 0.01 | 33% | 12 Feb → | ||
| 0–3 | -0.09 | 100% | 12 Feb → | ||
| 13–3 | 0.03 | 20% | 11 Feb → | ||
| 13–5 | 0.09 | 30% | 11 Feb → | ||
| 8–13 | -0.04 | 25% | 11 Feb → | ||
| 13–3 | 0.08 | 22% | 10 Feb → | ||
| 13–5 | 0.07 | 45% | 10 Feb → | ||
| 13–6 | 0.02 | 16% | 10 Feb → | ||
| 7–13 | -0.00 | 13% | 10 Feb → | ||
| 11–13 | 0.12 | 31% | 9 Feb → | ||
| 13–5 | 0.08 | 47% | 9 Feb → | ||
| 13–5 | 0.09 | 34% | 9 Feb → | ||
| 3–13 | -0.09 | 24% | 8 Feb → | ||
| 7–13 | 0.07 | 30% | 8 Feb → | ||
| 13–11 | 0.02 | 23% | 8 Feb → | ||
| 13–5 | -0.03 | 17% | 8 Feb → | ||
| 11–13 | 0.03 | 26% | 8 Feb → | ||
| 13–7 | 0.02 | 25% | 7 Feb → | ||
| 13–2 | 0.06 | 36% | 7 Feb → | ||
| 13–4 | 0.01 | 27% | 6 Feb → | ||
| 13–1 | 0.07 | 36% | 6 Feb → | ||
| 13–2 | 0.07 | 31% | 5 Feb → | ||
| 16–12 | 0.04 | 36% | 5 Feb → | ||
| 13–8 | -0.00 | 27% | 5 Feb → | ||
| 13–5 | 0.05 | 18% | 4 Feb → | ||
| 13–10 | 0.06 | 26% | 1 Feb → | ||
| 13–9 | 0.07 | 41% | 1 Feb → | ||
| 13–1 | 0.04 | 23% | 31 Jan → | ||
| 13–2 | -0.01 | 16% | 31 Jan → | ||
| 13–8 | 0.08 | 23% | 29 Jan → | ||
| 3–1 | 0.10 | 67% | 29 Jan → | ||
| 5–13 | -0.01 | 44% | 29 Jan → | ||
| 8–11 | -0.06 | 29% | 29 Jan → | ||
| 13–8 | 0.10 | 44% | 28 Jan → | ||
| 3–13 | -0.05 | 29% | 28 Jan → | ||
| 6–13 | 0.06 | 36% | 28 Jan → | ||
| 9–4 | -0.04 | 20% | 28 Jan → | ||
| 13–3 | 0.18 | 36% | 28 Jan → | ||
| 13–5 | 0.02 | 26% | 27 Jan → | ||
| 13–1 | 0.04 | 31% | 27 Jan → | ||
| 10–13 | 0.03 | 26% | 26 Jan → | ||
| 13–4 | 0.10 | 43% | 26 Jan → | ||
| 10–13 | -0.00 | 38% | 26 Jan → | ||
| 13–6 | 0.08 | 26% | 26 Jan → | ||
| 13–2 | 0.08 | 34% | 26 Jan → | ||
| 6–13 | -0.00 | 21% | 24 Jan → | ||
| 25–22 | 0.01 | 24% | 23 Jan → | ||
| 5–13 | -0.01 | 46% | 21 Jan → | ||
| 13–16 | 0.02 | 38% | 20 Jan → | ||
| 13–11 | 0.03 | 32% | 20 Jan → | ||
| 13–6 | 0.12 | 30% | 16 Jan → | ||
| 13–8 | 0.04 | 15% | 16 Jan → | ||
| 11–13 | -0.00 | 25% | 16 Jan → |
Match data via Leetify.