Horse Guenthér — CS2 Stats
FR76561199147900558[U:1:1187634830]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=9,423), 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 | Pink band median | Red band median | vs Red band |
|---|---|---|---|---|
| Headshot rate | 31.6% | 47.1% | 49.8% | 18.2% short |
| Shot accuracy | 0.8% | 12.8% | 13.4% | 12.6% short |
| Kill/death ratio | 1.27 | 1.08 | 1.12 | above |
| Match win rate | 42.7% | 46.7% | 48.6% | 5.9% short |
This profile matches the typical Red band player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Red 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 · -0.00 avg rating
Player DNA
Primary style: Hybrid 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 ropz 88% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: 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
T-side openings. Opening success drops from 51% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 577ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 | B | 19 | 10–9 | 53% | 0.03 |
 ancient | C | 14 | 6–8 | 43% | 0.01 |
 inferno | B | 13 | 7–6 | 54% | 0.03 |
 nuke | S | 13 | 10–3 | 77% | 0.04 |
 cache | A | 12 | 7–5 | 58% | 0.03 |
 anubis | D | 9 | 3–6 | 33% | 0.01 |
 mirage | A | 7 | 4–3 | 57% | 0.02 |
 vertigo | — | 3 | 2–1 | 67% | 0.05 |
| shelter | — | 2 | 2–0 | 100% | 0.15 |
 train | — | 2 | 2–0 | 100% | 0.06 |
 overpass | — | 2 | 2–0 | 100% | 0.08 |
| boulder | — | 1 | 0–1 | 0% | 0.05 |
| fachwerk | — | 1 | 1–0 | 100% | 0.14 |
| office | — | 1 | 1–0 | 100% | 0.13 |
| alpine | — | 1 | 0–1 | 0% | 0.11 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Anubis 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 resultsLWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 6 | 33% | 1.10 | 16.3 |
| Mirage | 5 | 60% | 1.94 | 18.0 |
| Inferno | 3 | 67% | 2.32 | 16.0 |
| Nuke | 3 | 67% | 2.31 | 15.7 |
| Ancient | 2 | 0% | 0.94 | 20.0 |
| Anubis | 1 | 0% | 1.50 | 21.0 |
| Train | 1 | 0% | 0.79 | 11.0 |
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
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 10.9691% — below the 15% mark we flag
- Grenades & UtilityGrenade Lineups →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 1.5377 — below the 4 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 34.6063% — 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.
33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 13–7 | 0.04 | 15% | 30 Aug → | |
| anubis | 13–11 | -0.01 | 5% | 30 Aug → | |
| cache | 13–9 | 0.03 | 12% | 30 Aug → | |
| boulder | 5–13 | 0.05 | 13% | 30 Aug → | |
| cache | 13–3 | 0.02 | 16% | 30 Aug → | |
| nuke | 13–5 | 0.05 | 10% | 29 Aug → | |
| inferno | 13–11 | 0.02 | 7% | 22 Aug → | |
| ancient | 6–13 | -0.04 | 10% | 22 Aug → | |
| ancient | 13–2 | -0.02 | 12% | 12 Aug → | |
| dust2 | 13–5 | -0.02 | 6% | 12 Aug → | |
| nuke | 13–7 | 0.08 | 6% | 8 Aug → | |
| ancient | 13–5 | -0.09 | 10% | 8 Aug → | |
| nuke | 13–5 | 0.02 | 13% | 8 Aug → | |
| inferno | 3–13 | 0.04 | 3% | 8 Aug → | |
| nuke | 16–13 | 0.04 | 9% | 7 Aug → | |
| nuke | 13–11 | 0.01 | 12% | 2 Aug → | |
| mirage | 13–3 | 0.01 | 11% | 2 Aug → | |
| inferno | 13–7 | 0.04 | 6% | 2 Aug → | |
| anubis | 13–5 | 0.04 | 12% | 2 Aug → | |
| ancient | 10–13 | -0.03 | 10% | 2 Aug → | |
| cache | 13–4 | -0.00 | 9% | 1 Aug → | |
| dust2 | 9–4 | -0.09 | 50% | 1 Aug → | |
| inferno | 13–2 | 0.16 | 10% | 1 Aug → | |
| ancient | 13–4 | 0.06 | 14% | 1 Aug → | |
| cache | 5–13 | -0.02 | 7% | 1 Aug → | |
| mirage | 12–16 | -0.03 | 4% | 1 Aug → | |
| vertigo | 13–1 | 0.20 | 5% | 29 Jul → | |
| inferno | 3–13 | -0.00 | 8% | 27 Jul → | |
| cache | 13–7 | 0.04 | 19% | 27 Jul → | |
| inferno | 15–15 | 0.06 | 18% | 23 Jul → | |
| inferno | 4–13 | -0.04 | 10% | 23 Jul → | |
| dust2 | 11–13 | -0.02 | 15% | 19 Jul → | |
| dust2 | 13–1 | 0.10 | 11% | 19 Jul → | |
| shelter | 13–9 | 0.15 | 8% | 16 Jul → | |
| shelter | 13–3 | 0.14 | 16% | 16 Jul → | |
| fachwerk | 13–1 | 0.14 | 10% | 16 Jul → | |
| dust2 | 13–9 | 0.09 | 16% | 12 Jul → | |
| ancient | 3–13 | -0.03 | 8% | 12 Jul → | |
| mirage | 13–6 | -0.02 | 6% | 12 Jul → | |
| dust2 | 8–13 | -0.04 | 8% | 11 Jul → | |
| office | 13–8 | 0.13 | 9% | 6 Jul → | |
| train | 13–8 | 0.01 | 11% | 6 Jul → | |
| vertigo | 13–10 | -0.03 | 4% | 6 Jul → | |
| cache | 13–10 | -0.01 | 11% | 6 Jul → | |
| dust2 | 5–13 | 0.06 | 11% | 6 Jul → | |
| cache | 13–5 | 0.09 | 2% | 4 Jul → | |
| cache | 7–13 | 0.05 | 7% | 3 Jul → | |
| dust2 | 10–13 | 0.05 | 9% | 26 Jun → | |
| inferno | 13–11 | 0.01 | 6% | 26 Jun → | |
| dust2 | 13–5 | -0.00 | 5% | 26 Jun → | |
| ancient | 5–13 | -0.08 | 22% | 26 Jun → | |
| dust2 | 13–7 | 0.12 | 9% | 23 Jun → | |
| anubis | 15–15 | -0.02 | 11% | 20 Jun → | |
| overpass | 9–6 | 0.12 | 16% | 7 Jun → | |
| inferno | 15–15 | -0.01 | 6% | 7 Jun → | |
| dust2 | 13–9 | 0.04 | 10% | 7 Jun → | |
| dust2 | 13–7 | -0.02 | 22% | 1 Jun → | |
| nuke | 13–10 | 0.19 | 6% | 28 May → | |
| anubis | 3–13 | 0.04 | 6% | 28 May → | |
| inferno | 16–13 | 0.07 | 7% | 28 May → | |
| dust2 | 9–13 | 0.16 | 12% | 28 May → | |
| ancient | 6–13 | 0.04 | 7% | 13 May → | |
| overpass | 16–13 | 0.04 | 12% | 9 May → | |
| dust2 | 13–11 | 0.10 | 7% | 4 May → | |
| cache | 13–7 | 0.02 | 12% | 4 May → | |
| cache | 7–13 | 0.01 | 4% | 4 May → | |
| nuke | 13–11 | -0.01 | 8% | 3 May → | |
| cache | 10–13 | 0.11 | 10% | 2 May → | |
| anubis | 2–13 | -0.04 | 9% | 2 May → | |
| dust2 | 5–13 | 0.06 | 16% | 2 May → | |
| cache | 9–13 | 0.03 | 11% | 29 Apr → | |
| nuke | 13–10 | 0.09 | 10% | 27 Apr → | |
| vertigo | 9–13 | -0.03 | 7% | 18 Apr → | |
| anubis | 10–13 | 0.06 | 8% | 18 Apr → | |
| anubis | 2–13 | -0.07 | 3% | 18 Apr → | |
| ancient | 13–11 | 0.07 | 5% | 16 Apr → | |
| dust2 | 7–13 | 0.00 | 19% | 16 Apr → | |
| mirage | 13–7 | 0.08 | 4% | 10 Apr → | |
| train | 13–6 | 0.11 | 25% | 9 Apr → | |
| alpine | 10–13 | 0.11 | 10% | 9 Apr → | |
| ancient | 13–5 | 0.18 | 16% | 5 Apr → | |
| nuke | 6–13 | -0.04 | 6% | 5 Apr → | |
| nuke | 11–13 | -0.00 | 6% | 4 Apr → | |
| dust2 | 13–8 | 0.07 | 11% | 4 Apr → | |
| mirage | 8–3 | 0.10 | 10% | 4 Apr → | |
| ancient | 1–13 | -0.04 | 5% | 4 Apr → | |
| mirage | 11–13 | -0.00 | 10% | 4 Apr → | |
| anubis | 13–8 | 0.06 | 18% | 4 Apr → | |
| ancient | 13–3 | 0.03 | 13% | 4 Apr → | |
| anubis | 8–13 | 0.02 | 15% | 4 Apr → | |
| inferno | 13–10 | 0.08 | 12% | 3 Apr → | |
| nuke | 13–8 | 0.03 | 14% | 3 Apr → | |
| nuke | 13–9 | 0.07 | 6% | 29 Mar → | |
| dust2 | 9–13 | 0.01 | 18% | 29 Mar → | |
| mirage | 10–13 | -0.00 | 6% | 28 Mar → | |
| ancient | 10–13 | 0.08 | 11% | 28 Mar → | |
| dust2 | 3–13 | -0.05 | 13% | 22 Mar → | |
| inferno | 10–13 | -0.02 | 9% | 20 Mar → | |
| nuke | 15–15 | -0.00 | 5% | 20 Mar → | |
| ancient | 5–13 | 0.01 | 5% | 16 Mar → |
Match data via Leetify.
