Haaaaaamburgler — CS2 Stats
76561198130008760[U:1:169743032]
Rating over time
Premier CS Rating
- 376 below peak (12,272)
- Next: Purple band at 15,000 — 3,104 to go
- Reached: Blue band · Light Blue band
- Blue band first seen 2026-08-30
- Light Blue band first seen 2026-08-30
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 4 among CSDB-tracked players (n=1,711), 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 4 median | Level 5 median | vs Level 5 |
|---|---|---|---|---|
| Headshot rate | 41.4% | 42.7% | 44.0% | 2.7% short |
| Shot accuracy | 15.1% | 10.8% | 11.6% | above |
| Kill/death ratio | 1.23 | 1.00 | 1.03 | above |
| Match win rate | 54.1% | 44.1% | 45.1% | above |
This profile matches the typical Level 5 player on 3 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 5 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: +10pp win rate · +0.03 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 device 91% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: 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 87 — the mechanical foundation is a clear strength.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 556ms 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 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 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 |
|---|---|---|---|---|---|
| office | A | 30 | 18–12 | 60% | 0.02 |
 dust2 | B | 18 | 9–9 | 50% | -0.01 |
 nuke | A | 15 | 9–6 | 60% | -0.00 |
 inferno | A | 7 | 4–3 | 57% | 0.02 |
 mirage | D | 7 | 2–5 | 29% | 0.01 |
 ancient | A | 5 | 3–2 | 60% | 0.04 |
 anubis | C | 5 | 2–3 | 40% | 0.01 |
 cache | — | 4 | 1–3 | 25% | 0.01 |
 train | — | 3 | 0–3 | 0% | -0.02 |
| italy | — | 3 | 1–2 | 33% | 0.08 |
 overpass | — | 2 | 1–1 | 50% | -0.01 |
| alpine | — | 1 | 1–0 | 100% | -0.06 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Mirage 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 resultsLLWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Vertigo | 1 | 100% | 1.06 | 18.0 |
| Anubis | 1 | 0% | 0.81 | 13.0 |
| Overpass | 1 | 100% | 1.69 | 22.0 |
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.
29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 4–13 | -0.01 | 17% | 30 Aug → | |
| office | 13–10 | -0.00 | 45% | 28 Aug → | |
| dust2 | 10–13 | -0.01 | 21% | 24 Aug → | |
| nuke | 10–13 | -0.04 | 32% | 23 Aug → | |
| mirage | 10–13 | 0.12 | 19% | 23 Aug → | |
| nuke | 13–5 | 0.04 | 25% | 23 Aug → | |
| mirage | 13–7 | -0.04 | 7% | 22 Aug → | |
| dust2 | 13–7 | 0.11 | 17% | 22 Aug → | |
| dust2 | 13–11 | 0.06 | 20% | 22 Aug → | |
| ancient | 13–4 | 0.07 | 13% | 22 Aug → | |
| dust2 | 7–1 | -0.07 | 27% | 22 Aug → | |
| dust2 | 13–9 | -0.04 | 15% | 22 Aug → | |
| office | 8–13 | -0.03 | 20% | 21 Aug → | |
| nuke | 4–13 | -0.03 | 23% | 19 Aug → | |
| dust2 | 13–10 | 0.02 | 24% | 18 Aug → | |
| office | 13–3 | 0.02 | 60% | 18 Aug → | |
| dust2 | 10–13 | -0.09 | 28% | 14 Aug → | |
| office | 13–10 | 0.09 | 38% | 14 Aug → | |
| train | 3–13 | -0.05 | 38% | 12 Aug → | |
| nuke | 11–13 | 0.14 | 22% | 12 Aug → | |
| dust2 | 13–6 | 0.09 | 31% | 12 Aug → | |
| nuke | 13–8 | -0.06 | 25% | 12 Aug → | |
| anubis | 5–13 | 0.09 | 29% | 12 Aug → | |
| mirage | 13–3 | 0.05 | 0% | 11 Aug → | |
| mirage | 0–3 | 0.02 | 33% | 11 Aug → | |
| inferno | 13–10 | 0.02 | 33% | 9 Aug → | |
| nuke | 13–3 | -0.01 | 21% | 9 Aug → | |
| ancient | 13–3 | 0.01 | 24% | 9 Aug → | |
| office | 13–9 | -0.01 | 31% | 8 Aug → | |
| anubis | 6–13 | -0.08 | 21% | 8 Aug → | |
| dust2 | 13–5 | -0.01 | 14% | 8 Aug → | |
| nuke | 13–3 | 0.02 | 28% | 8 Aug → | |
| italy | 7–13 | 0.13 | 24% | 5 Aug → | |
| inferno | 13–10 | 0.06 | 34% | 4 Aug → | |
| office | 13–7 | 0.01 | 27% | 4 Aug → | |
| nuke | 7–13 | -0.02 | 40% | 31 Jul → | |
| office | 11–13 | -0.01 | 38% | 30 Jul → | |
| office | 2–13 | 0.00 | 50% | 29 Jul → | |
| mirage | 4–13 | -0.03 | 25% | 28 Jul → | |
| dust2 | 1–13 | -0.02 | 38% | 28 Jul → | |
| office | 13–6 | 0.06 | 75% | 27 Jul → | |
| italy | 13–8 | 0.08 | 19% | 27 Jul → | |
| nuke | 13–5 | 0.02 | 69% | 27 Jul → | |
| nuke | 0–13 | -0.09 | 60% | 26 Jul → | |
| office | 12–12 | 0.00 | 33% | 26 Jul → | |
| dust2 | 15–15 | -0.05 | 24% | 25 Jul → | |
| office | 13–11 | 0.08 | 36% | 24 Jul → | |
| office | 4–0 | 0.12 | 50% | 24 Jul → | |
| anubis | 15–15 | 0.04 | 20% | 19 Jul → | |
| inferno | 13–2 | 0.10 | 35% | 18 Jul → | |
| mirage | 7–11 | -0.00 | 18% | 18 Jul → | |
| office | 13–0 | 0.05 | 57% | 2 Jul → | |
| cache | 5–13 | -0.01 | 38% | 2 Jul → | |
| train | 9–13 | 0.01 | 48% | 27 Jun → | |
| office | 13–6 | -0.03 | 55% | 27 Jun → | |
| overpass | 8–13 | -0.05 | 16% | 21 Jun → | |
| inferno | 13–16 | -0.03 | 16% | 21 Jun → | |
| anubis | 13–3 | -0.01 | 11% | 21 Jun → | |
| ancient | 6–13 | 0.05 | 22% | 21 Jun → | |
| office | 12–12 | 0.04 | 33% | 21 Jun → | |
| office | 13–8 | 0.05 | 42% | 21 Jun → | |
| nuke | 4–13 | -0.07 | 21% | 18 Jun → | |
| train | 8–13 | -0.03 | 29% | 18 Jun → | |
| inferno | 10–13 | 0.01 | 12% | 16 Jun → | |
| dust2 | 11–13 | -0.02 | 23% | 13 Jun → | |
| dust2 | 3–13 | -0.08 | 35% | 12 Jun → | |
| anubis | 13–7 | 0.04 | 10% | 12 Jun → | |
| overpass | 13–4 | 0.02 | 25% | 11 Jun → | |
| nuke | 13–10 | 0.09 | 19% | 7 Jun → | |
| nuke | 13–7 | -0.01 | 12% | 7 Jun → | |
| nuke | 16–13 | 0.01 | 15% | 7 Jun → | |
| dust2 | 15–15 | 0.03 | 13% | 6 Jun → | |
| inferno | 13–8 | 0.01 | 11% | 6 Jun → | |
| ancient | 13–4 | 0.06 | 11% | 6 Jun → | |
| mirage | 6–13 | -0.07 | 13% | 6 Jun → | |
| nuke | 13–10 | -0.01 | 38% | 6 Jun → | |
| dust2 | 13–11 | -0.03 | 21% | 6 Jun → | |
| office | 13–8 | -0.05 | 50% | 4 Jun → | |
| office | 13–5 | -0.04 | 35% | 2 Jun → | |
| dust2 | 6–13 | -0.01 | 30% | 2 Jun → | |
| alpine | 13–9 | -0.06 | 12% | 30 May → | |
| dust2 | 13–11 | 0.02 | 20% | 26 May → | |
| office | 13–8 | 0.13 | 27% | 26 May → | |
| office | 13–11 | 0.03 | 36% | 23 May → | |
| office | 13–7 | 0.02 | 61% | 16 May → | |
| office | 9–13 | 0.02 | 19% | 16 May → | |
| office | 4–13 | -0.06 | 25% | 16 May → | |
| italy | 9–13 | 0.03 | 15% | 8 May → | |
| office | 9–13 | -0.05 | 10% | 8 May → | |
| dust2 | 0–10 | -0.02 | 78% | 6 May → | |
| office | 12–12 | 0.03 | 50% | 6 May → | |
| ancient | 2–10 | -0.00 | 45% | 5 May → | |
| cache | 3–13 | 0.03 | 25% | 4 May → | |
| office | 2–6 | -0.01 | 50% | 3 May → | |
| cache | 2–13 | -0.07 | 27% | 2 May → | |
| office | 7–13 | 0.05 | 9% | 2 May → | |
| cache | 13–10 | 0.06 | 40% | 2 May → | |
| office | 12–12 | 0.03 | 23% | 2 May → | |
| office | 13–8 | 0.05 | 37% | 29 Apr → | |
| office | 13–8 | -0.07 | 17% | 26 Apr → |
Match data via Leetify.
