Goose™ — CS2 Stats
US76561198132936149[U:1:172670421]Steam profile ↗✓ No bans
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 | vs Level 10 |
|---|---|---|---|
| Headshot rate | 35.2% | 52.8% | 17.5% short |
| Shot accuracy | 14.2% | 13.7% | above |
| Kill/death ratio | 1.07 | 1.08 | meets |
| Match win rate | 40.0% | 49.2% | 9.2% short |
This profile matches the typical Level 10 player on 2 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 10 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 · -0.01 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 ropz 93% playstyle similarity
Most alike: utility contribution, positioning profile.
Where you differ: higher 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 89 — 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.
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 6.8/10 (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 |
|---|---|---|---|---|---|
| C | 23 | 8–15 | 35% | 0.01 | |
| S | 20 | 13–7 | 65% | 0.01 | |
| B | 16 | 8–8 | 50% | 0.01 | |
| C | 13 | 5–8 | 38% | 0.02 | |
| C | 12 | 5–7 | 42% | 0.01 | |
| C | 7 | 3–4 | 43% | 0.03 | |
| D | 6 | 1–5 | 17% | -0.02 | |
| — | 3 | 1–2 | 33% | 0.02 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Overpass 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 resultsWLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 199 | 51% | 0.91 | 13.3 |
| Dust2 | 149 | 50% | 1.03 | 14.8 |
| Inferno | 138 | 54% | 0.97 | 14.4 |
| Ancient | 136 | 60% | 0.96 | 13.8 |
| Overpass | 41 | 41% | 0.88 | 12.3 |
| Anubis | 30 | 20% | 1.00 | 14.9 |
| Nuke | 25 | 20% | 0.88 | 14.3 |
| Vertigo | 8 | 50% | 0.93 | 13.5 |
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.
17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–9 | -0.03 | 17% | 28 Aug → | ||
| 4–13 | -0.05 | 15% | 28 Aug → | ||
| 9–13 | 0.03 | 14% | 27 Aug → | ||
| 11–13 | -0.02 | 9% | 27 Aug → | ||
| 13–9 | -0.00 | 27% | 27 Aug → | ||
| 9–13 | -0.03 | 31% | 27 Aug → | ||
| 13–9 | -0.06 | 8% | 27 Aug → | ||
| 10–13 | 0.03 | 15% | 24 Aug → | ||
| 13–7 | 0.05 | 26% | 24 Aug → | ||
| 13–8 | -0.01 | 20% | 23 Aug → | ||
| 13–7 | -0.01 | 8% | 23 Aug → | ||
| 11–13 | 0.03 | 19% | 22 Aug → | ||
| 10–13 | -0.03 | 18% | 19 Aug → | ||
| 7–13 | -0.03 | 13% | 18 Aug → | ||
| 13–7 | -0.05 | 13% | 17 Aug → | ||
| 13–5 | 0.07 | 9% | 17 Aug → | ||
| 7–13 | -0.03 | 22% | 17 Aug → | ||
| 1–13 | -0.06 | 17% | 16 Aug → | ||
| 13–3 | 0.05 | 14% | 16 Aug → | ||
| 9–13 | 0.01 | 14% | 16 Aug → | ||
| 13–8 | -0.02 | 6% | 14 Aug → | ||
| 8–13 | 0.03 | 23% | 7 Aug → | ||
| 13–4 | 0.07 | 17% | 7 Aug → | ||
| 6–13 | -0.02 | 12% | 7 Aug → | ||
| 13–7 | 0.05 | 14% | 1 Aug → | ||
| 6–13 | 0.01 | 23% | 31 Jul → | ||
| 13–7 | 0.09 | 16% | 31 Jul → | ||
| 13–4 | 0.03 | 14% | 31 Jul → | ||
| 9–13 | 0.03 | 16% | 31 Jul → | ||
| 8–13 | 0.01 | 11% | 31 Jul → | ||
| 11–2 | 0.05 | 15% | 31 Jul → | ||
| 13–9 | -0.05 | 15% | 31 Jul → | ||
| 13–3 | 0.04 | 22% | 31 Jul → | ||
| 4–13 | -0.07 | 13% | 30 Jul → | ||
| 13–5 | 0.01 | 10% | 30 Jul → | ||
| 13–9 | 0.02 | 20% | 30 Jul → | ||
| 13–10 | 0.04 | 22% | 30 Jul → | ||
| 13–4 | 0.04 | 12% | 28 Jul → | ||
| 10–13 | 0.03 | 17% | 28 Jul → | ||
| 5–13 | 0.06 | 5% | 28 Jul → | ||
| 9–13 | 0.06 | 33% | 28 Jul → | ||
| 10–13 | 0.06 | 18% | 28 Jul → | ||
| 6–13 | -0.02 | 14% | 26 Jul → | ||
| 12–12 | 0.01 | 11% | 26 Jul → | ||
| 13–16 | -0.02 | 13% | 25 Jul → | ||
| 13–5 | 0.04 | 14% | 24 Jul → | ||
| 10–13 | 0.00 | 16% | 22 Jul → | ||
| 1–13 | -0.01 | 8% | 18 Jul → | ||
| 7–13 | -0.02 | 9% | 18 Jul → | ||
| 9–13 | -0.01 | 9% | 18 Jul → | ||
| 13–11 | 0.04 | 16% | 18 Jul → | ||
| 16–12 | 0.03 | 11% | 9 Jul → | ||
| 9–13 | 0.06 | 13% | 9 Jul → | ||
| 13–1 | 0.09 | 22% | 8 Jul → | ||
| 4–13 | 0.01 | 24% | 8 Jul → | ||
| 7–13 | -0.06 | 18% | 6 Jul → | ||
| 8–13 | 0.00 | 30% | 6 Jul → | ||
| 15–15 | 0.00 | 18% | 24 Jun → | ||
| 13–3 | 0.07 | 15% | 23 Jun → | ||
| 1–6 | -0.02 | 10% | 23 Jun → | ||
| 7–13 | -0.03 | 9% | 23 Jun → | ||
| 11–13 | 0.02 | 17% | 23 Jun → | ||
| 11–13 | -0.01 | 6% | 22 Jun → | ||
| 13–16 | -0.02 | 14% | 22 Jun → | ||
| 13–3 | -0.02 | 14% | 21 Jun → | ||
| 13–16 | 0.03 | 13% | 21 Jun → | ||
| 16–14 | -0.02 | 11% | 21 Jun → | ||
| 8–13 | -0.04 | 16% | 20 Jun → | ||
| 5–13 | -0.03 | 9% | 20 Jun → | ||
| 5–13 | 0.01 | 13% | 20 Jun → | ||
| 14–16 | -0.03 | 12% | 18 Jun → | ||
| 13–8 | -0.06 | 14% | 17 Jun → | ||
| 13–9 | 0.01 | 18% | 17 Jun → | ||
| 13–10 | 0.01 | 17% | 16 Jun → | ||
| 13–7 | 0.09 | 30% | 16 Jun → | ||
| 13–6 | 0.12 | 14% | 16 Jun → | ||
| 1–1 | -0.03 | 0% | 16 Jun → | ||
| 13–11 | 0.03 | 20% | 2 Jun → | ||
| 11–13 | 0.02 | 16% | 30 May → | ||
| 12–12 | 0.02 | 10% | 30 May → | ||
| 13–7 | 0.08 | 15% | 21 May → | ||
| 5–13 | 0.11 | 15% | 19 May → | ||
| 5–13 | 0.01 | 13% | 19 May → | ||
| 13–16 | -0.03 | 20% | 16 May → | ||
| 13–7 | -0.03 | 12% | 14 May → | ||
| 13–4 | 0.02 | 7% | 13 May → | ||
| 13–11 | -0.00 | 4% | 12 May → | ||
| 7–13 | -0.08 | 14% | 11 May → | ||
| 12–12 | 0.02 | 12% | 10 May → | ||
| 11–13 | -0.01 | 5% | 7 May → | ||
| 1–13 | -0.05 | 8% | 6 May → | ||
| 13–5 | 0.04 | 13% | 6 May → | ||
| 16–19 | -0.04 | 10% | 6 May → | ||
| 13–8 | -0.00 | 15% | 5 May → | ||
| 11–13 | -0.05 | 7% | 5 May → | ||
| 13–10 | 0.08 | 13% | 5 May → | ||
| 13–11 | -0.02 | 11% | 5 May → | ||
| 13–16 | -0.02 | 14% | 5 May → | ||
| 16–13 | 0.05 | 15% | 5 May → | ||
| 13–7 | 0.10 | 14% | 4 May → |
Match data via Leetify.
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