Horst Guenthér — CS2 Stats
76561197963675000[U:1:3409272]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Purple band among CSDB-tracked players (n=7,746), 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 | Purple band median | Pink band median | vs Pink band |
|---|---|---|---|---|
| Headshot rate | 32.5% | 44.2% | 47.1% | 14.6% short |
| Shot accuracy | 15.3% | 11.7% | 12.8% | above |
| Kill/death ratio | 1.19 | 1.03 | 1.08 | above |
| Match win rate | 39.4% | 45.2% | 46.7% | 7.3% short |
This profile matches the typical Pink band player on 2 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Pink band 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: +0pp win rate · -0.02 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side openerLimited 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 75% playstyle similarity
Most alike: positioning profile, aim profile.
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
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 38% on CT to 19% 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 5.1/10 (Developing), 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 |
|---|---|---|---|---|---|
 dust2 | D | 24 | 7–17 | 29% | 0.02 |
 inferno | A | 21 | 12–9 | 57% | 0.02 |
 mirage | D | 14 | 4–10 | 29% | 0.04 |
 ancient | B | 11 | 5–6 | 45% | -0.00 |
 anubis | A | 9 | 5–4 | 56% | 0.01 |
 cache | C | 8 | 3–5 | 38% | 0.02 |
 nuke | A | 7 | 4–3 | 57% | 0.03 |
 train | — | 2 | 2–0 | 100% | 0.08 |
 vertigo | — | 2 | 1–1 | 50% | 0.05 |
 overpass | — | 1 | 0–1 | 0% | -0.08 |
| boulder | — | 1 | 0–1 | 0% | 0.14 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (29% over 24). Start with the 6 essential Dust 2 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 resultsLLWLL
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.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 9.7874% — below the 15% mark we flag
- 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 0.4029 — 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 19.1933% — 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.
29% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| mirage | 10–13 | 0.06 | 7% | 30 Aug → | |
| inferno | 13–4 | 0.05 | 6% | 30 Aug → | |
| inferno | 13–10 | -0.06 | 4% | 30 Aug → | |
| dust2 | 10–13 | 0.03 | 17% | 29 Aug → | |
| anubis | 13–3 | 0.05 | 8% | 29 Aug → | |
| cache | 13–10 | -0.02 | 10% | 29 Aug → | |
| dust2 | 13–8 | 0.03 | 16% | 29 Aug → | |
| inferno | 13–7 | 0.05 | 14% | 29 Aug → | |
| dust2 | 2–13 | -0.04 | 16% | 29 Aug → | |
| mirage | 8–13 | 0.00 | 16% | 28 Aug → | |
| mirage | 13–2 | 0.06 | 3% | 28 Aug → | |
| dust2 | 13–0 | 0.09 | 19% | 28 Aug → | |
| inferno | 13–9 | 0.08 | 6% | 24 Aug → | |
| nuke | 6–13 | -0.01 | 5% | 24 Aug → | |
| nuke | 10–3 | 0.07 | 2% | 23 Aug → | |
| nuke | 16–14 | 0.02 | 9% | 23 Aug → | |
| cache | 14–16 | 0.08 | 11% | 23 Aug → | |
| overpass | 2–9 | -0.08 | 7% | 23 Aug → | |
| anubis | 13–11 | -0.04 | 6% | 22 Aug → | |
| ancient | 9–13 | 0.02 | 9% | 22 Aug → | |
| inferno | 13–11 | -0.00 | 5% | 20 Aug → | |
| mirage | 13–10 | -0.01 | 5% | 19 Aug → | |
| inferno | 13–3 | 0.02 | 23% | 19 Aug → | |
| mirage | 15–15 | -0.04 | 6% | 19 Aug → | |
| mirage | 6–13 | 0.02 | 10% | 19 Aug → | |
| inferno | 4–13 | -0.02 | 20% | 19 Aug → | |
| dust2 | 0–13 | -0.00 | 5% | 19 Aug → | |
| anubis | 10–13 | 0.03 | 11% | 19 Aug → | |
| inferno | 13–7 | 0.09 | 10% | 19 Aug → | |
| inferno | 13–8 | 0.06 | 13% | 18 Aug → | |
| mirage | 11–13 | -0.01 | 6% | 18 Aug → | |
| dust2 | 13–4 | -0.02 | 15% | 18 Aug → | |
| ancient | 16–12 | 0.03 | 17% | 18 Aug → | |
| mirage | 15–15 | 0.07 | 11% | 18 Aug → | |
| nuke | 8–13 | -0.01 | 7% | 18 Aug → | |
| cache | 11–13 | 0.05 | 13% | 18 Aug → | |
| mirage | 12–12 | -0.01 | 14% | 16 Aug → | |
| train | 13–9 | 0.07 | 15% | 16 Aug → | |
| dust2 | 7–13 | 0.03 | 8% | 16 Aug → | |
| dust2 | 8–13 | -0.02 | 11% | 16 Aug → | |
| anubis | 10–13 | 0.01 | 16% | 16 Aug → | |
| nuke | 13–9 | 0.06 | 10% | 15 Aug → | |
| dust2 | 6–13 | -0.04 | 12% | 15 Aug → | |
| vertigo | 13–3 | 0.12 | 12% | 14 Aug → | |
| dust2 | 8–13 | 0.12 | 11% | 14 Aug → | |
| mirage | 13–6 | 0.13 | 2% | 12 Aug → | |
| dust2 | 13–8 | 0.02 | 10% | 11 Aug → | |
| dust2 | 9–13 | 0.01 | 9% | 11 Aug → | |
| inferno | 11–13 | 0.03 | 3% | 11 Aug → | |
| dust2 | 13–8 | 0.01 | 17% | 9 Aug → | |
| inferno | 13–6 | 0.03 | 13% | 9 Aug → | |
| cache | 8–13 | -0.01 | 13% | 9 Aug → | |
| dust2 | 8–13 | 0.07 | 11% | 9 Aug → | |
| nuke | 13–9 | 0.03 | 9% | 9 Aug → | |
| cache | 13–11 | -0.04 | 6% | 9 Aug → | |
| dust2 | 5–13 | 0.02 | 17% | 8 Aug → | |
| mirage | 5–13 | 0.08 | 24% | 8 Aug → | |
| boulder | 5–13 | 0.14 | 7% | 3 Aug → | |
| dust2 | 13–9 | 0.05 | 9% | 31 Jul → | |
| mirage | 10–13 | 0.09 | 8% | 30 Jul → | |
| dust2 | 11–13 | -0.02 | 10% | 30 Jul → | |
| mirage | 13–11 | 0.07 | 14% | 30 Jul → | |
| ancient | 8–13 | -0.05 | 17% | 30 Jul → | |
| nuke | 2–13 | 0.06 | 15% | 30 Jul → | |
| ancient | 13–7 | 0.05 | 8% | 29 Jul → | |
| cache | 8–13 | -0.02 | 8% | 29 Jul → | |
| dust2 | 12–12 | 0.17 | 15% | 29 Jul → | |
| inferno | 13–10 | -0.03 | 11% | 28 Jul → | |
| inferno | 10–13 | 0.01 | 8% | 28 Jul → | |
| ancient | 10–13 | 0.01 | 11% | 28 Jul → | |
| mirage | 8–13 | 0.08 | 8% | 28 Jul → | |
| dust2 | 15–15 | -0.02 | 13% | 28 Jul → | |
| inferno | 9–13 | 0.03 | 6% | 27 Jul → | |
| ancient | 8–13 | -0.06 | 16% | 27 Jul → | |
| dust2 | 13–8 | 0.03 | 20% | 26 Jul → | |
| dust2 | 15–15 | -0.00 | 13% | 26 Jul → | |
| inferno | 10–13 | 0.04 | 12% | 26 Jul → | |
| inferno | 15–15 | 0.04 | 10% | 26 Jul → | |
| anubis | 13–8 | 0.01 | 14% | 23 Jul → | |
| dust2 | 15–15 | 0.00 | 10% | 23 Jul → | |
| anubis | 11–13 | 0.04 | 8% | 23 Jul → | |
| train | 13–5 | 0.09 | 5% | 23 Jul → | |
| vertigo | 4–13 | -0.02 | 10% | 23 Jul → | |
| inferno | 4–13 | -0.03 | 3% | 19 Jul → | |
| inferno | 13–9 | 0.02 | 9% | 18 Jul → | |
| dust2 | 11–13 | -0.05 | 14% | 18 Jul → | |
| cache | 12–12 | 0.11 | 8% | 18 Jul → | |
| ancient | 7–13 | 0.01 | 8% | 18 Jul → | |
| ancient | 13–6 | -0.01 | 9% | 17 Jul → | |
| inferno | 7–13 | 0.04 | 7% | 17 Jul → | |
| anubis | 8–13 | -0.01 | 22% | 17 Jul → | |
| ancient | 8–13 | -0.01 | 12% | 17 Jul → | |
| ancient | 13–6 | 0.01 | 12% | 17 Jul → | |
| anubis | 13–10 | -0.03 | 6% | 17 Jul → | |
| dust2 | 11–13 | -0.01 | 10% | 15 Jul → | |
| ancient | 13–10 | -0.02 | 5% | 14 Jul → | |
| anubis | 13–9 | 0.03 | 9% | 14 Jul → | |
| cache | 16–12 | -0.01 | 3% | 11 Jul → | |
| inferno | 13–5 | 0.04 | 13% | 11 Jul → | |
| inferno | 0–7 | -0.06 | 0% | 11 Jul → |
Match data via Leetify.
