Gøsu — CS2 Stats
76561198006364724[U:1:46098996]
How this compares with the same rank
Median values for Blue band among CSDB-tracked players (n=2,468), 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 | Blue band median | Purple band median | vs Purple band |
|---|---|---|---|---|
| Headshot rate | 42.1% | 41.4% | 44.2% | 2.1% short |
| Shot accuracy | 8.3% | 9.0% | 11.6% | 3.3% short |
| Kill/death ratio | 0.95 | 0.97 | 1.03 | 0.08 short |
| Match win rate | 44.3% | 43.7% | 45.2% | 1.0% short |
This profile sits below the typical Purple band player on every metric we can compare.
Widest gap: Shot accuracy. That is the metric furthest from the Purple 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: +40pp win rate · +0.00 avg rating
Player DNA
Primary style: Clutch Specialist — Late-round 1vX conversion well above par.
Limited utility dependenceReliable in 1v1s
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 b1t 90% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
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
Reaction time. 679ms 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 5.3/10 (Developing), 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 |
|---|---|---|---|---|---|
| C | 30 | 13–17 | 43% | -0.01 | |
| C | 16 | 7–9 | 44% | -0.00 | |
| A | 16 | 10–6 | 63% | -0.00 | |
| A | 13 | 8–5 | 62% | -0.01 | |
| A | 11 | 7–4 | 64% | 0.00 | |
| B | 10 | 5–5 | 50% | -0.02 | |
| — | 2 | 0–2 | 0% | 0.01 | |
| — | 1 | 1–0 | 100% | 0.05 | |
| — | 1 | 0–1 | 0% | -0.08 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (43% over 30). 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 resultsWLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Nuke | 4 | 50% | 0.71 | 12.3 |
| Dust2 | 3 | 67% | 1.03 | 14.7 |
| Mirage | 2 | 50% | 0.98 | 9.5 |
| Ancient | 2 | 50% | 1.68 | 11.5 |
| Anubis | 1 | 100% | 0.77 | 10.0 |
| Inferno | 1 | 0% | 0.76 | 13.0 |
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.
- Grenades & UtilityGrenade Lineups →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.9609 — below the 4 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
43% win rate across 30 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–3 | 0.03 | 9% | 30 Aug → | ||
| 7–13 | -0.02 | 26% | 30 Aug → | ||
| 13–9 | -0.04 | 16% | 28 Aug → | ||
| 13–11 | 0.09 | 19% | 28 Aug → | ||
| 13–5 | 0.07 | 7% | 28 Aug → | ||
| 13–11 | -0.02 | 17% | 28 Aug → | ||
| 14–16 | -0.05 | 21% | 27 Aug → | ||
| 13–11 | -0.01 | 26% | 26 Aug → | ||
| 8–13 | -0.06 | 15% | 26 Aug → | ||
| 13–9 | 0.05 | 19% | 25 Aug → | ||
| 10–13 | -0.00 | 20% | 25 Aug → | ||
| 10–13 | 0.05 | 19% | 25 Aug → | ||
| 10–13 | -0.04 | 12% | 25 Aug → | ||
| 13–3 | 0.02 | 10% | 24 Aug → | ||
| 11–13 | -0.03 | 16% | 24 Aug → | ||
| 13–4 | 0.01 | 30% | 24 Aug → | ||
| 13–2 | 0.02 | 25% | 24 Aug → | ||
| 11–13 | 0.01 | 23% | 23 Aug → | ||
| 2–13 | -0.07 | 11% | 23 Aug → | ||
| 10–13 | 0.02 | 15% | 23 Aug → | ||
| 13–7 | -0.04 | 21% | 21 Aug → | ||
| 13–5 | -0.03 | 25% | 21 Aug → | ||
| 16–14 | 0.09 | 14% | 20 Aug → | ||
| 13–10 | 0.00 | 15% | 20 Aug → | ||
| 10–13 | -0.02 | 20% | 20 Aug → | ||
| 11–13 | 0.02 | 18% | 20 Aug → | ||
| 13–9 | -0.01 | 24% | 19 Aug → | ||
| 5–13 | -0.04 | 10% | 19 Aug → | ||
| 10–13 | -0.02 | 25% | 19 Aug → | ||
| 2–13 | 0.03 | 36% | 19 Aug → | ||
| 7–13 | -0.02 | 9% | 18 Aug → | ||
| 5–13 | -0.05 | 13% | 18 Aug → | ||
| 13–11 | 0.01 | 13% | 18 Aug → | ||
| 13–7 | -0.01 | 21% | 17 Aug → | ||
| 13–6 | 0.02 | 11% | 17 Aug → | ||
| 2–13 | -0.04 | 20% | 17 Aug → | ||
| 13–5 | 0.04 | 18% | 17 Aug → | ||
| 11–13 | -0.04 | 12% | 17 Aug → | ||
| 8–13 | -0.05 | 13% | 17 Aug → | ||
| 13–3 | 0.01 | 13% | 17 Aug → | ||
| 13–9 | -0.04 | 15% | 17 Aug → | ||
| 12–12 | -0.01 | 18% | 16 Aug → | ||
| 13–6 | -0.01 | 15% | 16 Aug → | ||
| 13–3 | -0.02 | 14% | 16 Aug → | ||
| 16–12 | 0.04 | 20% | 16 Aug → | ||
| 3–13 | -0.09 | 15% | 16 Aug → | ||
| 1–13 | 0.01 | 28% | 16 Aug → | ||
| 10–13 | 0.01 | 25% | 16 Aug → | ||
| 8–13 | 0.00 | 14% | 15 Aug → | ||
| 13–5 | 0.09 | 13% | 15 Aug → | ||
| 13–10 | 0.01 | 15% | 15 Aug → | ||
| 13–11 | -0.02 | 21% | 15 Aug → | ||
| 13–9 | 0.05 | 17% | 15 Aug → | ||
| 8–13 | -0.01 | 12% | 15 Aug → | ||
| 13–7 | -0.01 | 16% | 14 Aug → | ||
| 4–13 | -0.00 | 23% | 14 Aug → | ||
| 13–11 | -0.01 | 20% | 14 Aug → | ||
| 5–13 | -0.02 | 9% | 14 Aug → | ||
| 13–16 | -0.01 | 14% | 12 Aug → | ||
| 13–9 | 0.02 | 11% | 10 Aug → | ||
| 16–13 | -0.00 | 13% | 10 Aug → | ||
| 13–11 | 0.00 | 22% | 10 Aug → | ||
| 13–7 | -0.04 | 22% | 9 Aug → | ||
| 10–13 | 0.03 | 30% | 9 Aug → | ||
| 5–13 | 0.01 | 7% | 9 Aug → | ||
| 13–9 | 0.00 | 14% | 9 Aug → | ||
| 6–1 | -0.03 | 9% | 9 Aug → | ||
| 13–9 | -0.00 | 11% | 9 Aug → | ||
| 13–5 | 0.01 | 26% | 9 Aug → | ||
| 13–10 | -0.03 | 7% | 9 Aug → | ||
| 15–15 | -0.00 | 14% | 9 Aug → | ||
| 2–13 | -0.10 | 27% | 9 Aug → | ||
| 8–13 | -0.07 | 11% | 9 Aug → | ||
| 11–13 | -0.06 | 11% | 9 Aug → | ||
| 14–16 | -0.03 | 6% | 8 Aug → | ||
| 13–7 | -0.03 | 14% | 8 Aug → | ||
| 5–13 | -0.06 | 25% | 8 Aug → | ||
| 13–10 | 0.03 | 15% | 8 Aug → | ||
| 13–9 | -0.05 | 7% | 8 Aug → | ||
| 10–13 | -0.08 | 19% | 6 Aug → | ||
| 13–4 | 0.06 | 13% | 5 Aug → | ||
| 10–13 | 0.02 | 18% | 4 Aug → | ||
| 10–13 | -0.07 | 24% | 4 Aug → | ||
| 13–10 | -0.02 | 12% | 4 Aug → | ||
| 13–10 | 0.04 | 18% | 4 Aug → | ||
| 10–13 | -0.10 | 11% | 3 Aug → | ||
| 13–3 | 0.02 | 12% | 3 Aug → | ||
| 11–13 | -0.03 | 14% | 2 Aug → | ||
| 13–4 | 0.01 | 16% | 2 Aug → | ||
| 16–14 | 0.02 | 11% | 2 Aug → | ||
| 7–13 | -0.05 | 9% | 2 Aug → | ||
| 4–13 | -0.08 | 5% | 2 Aug → | ||
| 15–15 | -0.03 | 10% | 1 Aug → | ||
| 13–4 | 0.05 | 24% | 1 Aug → | ||
| 11–13 | -0.04 | 11% | 1 Aug → | ||
| 8–13 | 0.05 | 20% | 1 Aug → | ||
| 4–13 | -0.02 | 5% | 1 Aug → | ||
| 6–13 | -0.01 | 15% | 1 Aug → | ||
| 13–4 | 0.07 | 15% | 1 Aug → | ||
| 13–10 | 0.11 | 9% | 31 Jul → |
Match data via Leetify.
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