GOYO007 — CS2 Stats
76561198259206313[U:1:298940585]✓ No bans
Rating over time
Faceit ELO
- At peak — 3,241
- Next: 3,500 ELO at 3,500 — 259 to go
- Reached: 3,000 ELO · 2,500 ELO · Level 10 · Level 9
- 3,000 ELO first seen 2026-08-28
- 2,500 ELO first seen 2026-08-28
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 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 |
|---|---|---|
| Headshot rate | 58.2% | 52.8% |
| Shot accuracy | 18.0% | 13.7% |
| Kill/death ratio | 0.96 | 1.08 |
| Match win rate | 46.7% | 49.2% |
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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.
Effective flashes
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 Twistzz 93% playstyle similarity
Most alike: utility contribution, 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
Strengths
Flashes. 0.81 enemies blinded per flash — utility that consistently lands.
Areas to improve
Reaction time. 621ms 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 7.1/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 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 |
|---|---|---|---|---|---|
 ancient | A | 26 | 15–11 | 58% | 0.01 |
 dust2 | S | 20 | 13–7 | 65% | 0.02 |
 nuke | C | 17 | 7–10 | 41% | 0.01 |
 anubis | A | 14 | 8–6 | 57% | 0.01 |
 inferno | B | 6 | 3–3 | 50% | 0.00 |
 cache | S | 5 | 4–1 | 80% | 0.03 |
 mirage | — | 4 | 1–3 | 25% | -0.01 |
 overpass | — | 3 | 2–1 | 67% | -0.00 |
| boulder | — | 1 | 0–1 | 0% | -0.02 |
| shelter | — | 1 | 1–0 | 100% | 0.14 |
| italy | — | 1 | 1–0 | 100% | 0.01 |
 train | — | 1 | 1–0 | 100% | 0.01 |
| basalt | — | 1 | 0–1 | 0% | -0.05 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (41% over 17). Start with the 6 essential Nuke 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 resultsWWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 443 | 57% | 1.13 | 15.7 |
| Anubis | 266 | 56% | 1.14 | 15.8 |
| Dust2 | 247 | 51% | 1.12 | 15.4 |
| Nuke | 208 | 58% | 1.18 | 16.3 |
| Inferno | 140 | 50% | 1.20 | 15.9 |
| Mirage | 89 | 54% | 1.00 | 14.3 |
| Overpass | 39 | 64% | 1.16 | 16.9 |
| Train | 38 | 53% | 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
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- Advanced MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.3206° — above the 12° mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
41% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| anubis | 13–7 | 0.01 | 18% | 25 Aug → | |
| dust2 | 13–5 | -0.03 | 18% | 22 Aug → | |
| cache | 13–2 | 0.05 | 21% | 19 Aug → | |
| nuke | 9–13 | 0.07 | 11% | 10 Aug → | |
| boulder | 5–9 | -0.02 | 33% | 6 Aug → | |
| cache | 10–13 | -0.03 | 27% | 18 Jul → | |
| shelter | 13–11 | 0.14 | 21% | 17 Jul → | |
| cache | 13–0 | 0.05 | 25% | 12 Jul → | |
| cache | 6–3 | -0.01 | 40% | 12 Jul → | |
| ancient | 13–11 | 0.01 | 13% | 11 Jul → | |
| nuke | 3–13 | -0.02 | 30% | 7 Jul → | |
| dust2 | 25–23 | -0.00 | 21% | 6 Jul → | |
| ancient | 13–10 | -0.01 | 16% | 6 Jul → | |
| dust2 | 13–4 | 0.07 | 17% | 4 Jul → | |
| anubis | 13–7 | 0.00 | 17% | 4 Jul → | |
| nuke | 6–13 | -0.01 | 25% | 4 Jul → | |
| nuke | 13–5 | 0.02 | 18% | 18 Jun → | |
| ancient | 13–6 | 0.02 | 18% | 10 Jun → | |
| cache | 13–5 | 0.09 | 31% | 9 Jun → | |
| ancient | 13–10 | -0.01 | 21% | 9 Jun → | |
| inferno | 13–9 | 0.01 | 21% | 4 Jun → | |
| nuke | 13–11 | 0.04 | 24% | 22 May → | |
| italy | 13–10 | 0.01 | 19% | 8 May → | |
| dust2 | 10–4 | 0.07 | 26% | 8 May → | |
| dust2 | 16–13 | 0.01 | 23% | 23 Apr → | |
| dust2 | 13–4 | 0.03 | 39% | 23 Apr → | |
| ancient | 13–6 | 0.05 | 22% | 22 Apr → | |
| anubis | 6–13 | 0.14 | 17% | 11 Apr → | |
| dust2 | 10–13 | 0.10 | 23% | 21 Mar → | |
| anubis | 13–5 | -0.02 | 20% | 20 Mar → | |
| ancient | 10–13 | 0.08 | 25% | 15 Mar → | |
| dust2 | 4–13 | 0.18 | 33% | 14 Mar → | |
| dust2 | 13–10 | 0.02 | 13% | 14 Mar → | |
| nuke | 5–13 | 0.02 | 15% | 13 Dec → | |
| dust2 | 6–13 | -0.04 | 17% | 13 Dec → | |
| inferno | 13–9 | -0.02 | 21% | 23 Nov → | |
| ancient | 13–6 | 0.06 | 24% | 23 Nov → | |
| nuke | 15–15 | 0.01 | 32% | 28 Oct → | |
| dust2 | 13–9 | 0.09 | 21% | 28 Sept → | |
| dust2 | 10–13 | -0.02 | 20% | 28 Sept → | |
| ancient | 13–9 | -0.00 | 19% | 27 Sept → | |
| ancient | 5–13 | -0.03 | 13% | 19 Sept → | |
| mirage | 11–13 | 0.01 | 25% | 17 Sept → | |
| inferno | 13–3 | 0.20 | 25% | 13 Sept → | |
| ancient | 16–13 | 0.03 | 24% | 13 Sept → | |
| nuke | 5–13 | -0.04 | 21% | 13 Sept → | |
| nuke | 13–3 | -0.03 | 27% | 11 Sept → | |
| nuke | 13–7 | -0.00 | 23% | 3 Sept → | |
| mirage | 7–13 | 0.01 | 26% | 2 Sept → | |
| dust2 | 6–1 | 0.09 | 12% | 31 Aug → | |
| nuke | 16–12 | 0.07 | 33% | 29 Aug → | |
| nuke | 8–13 | -0.03 | 22% | 29 Aug → | |
| nuke | 11–13 | -0.01 | 23% | 16 Aug → | |
| ancient | 13–10 | 0.02 | 11% | 16 Aug → | |
| train | 13–6 | 0.01 | 19% | 16 Aug → | |
| dust2 | 3–13 | -0.08 | 45% | 16 Aug → | |
| dust2 | 3–13 | -0.09 | 21% | 16 Aug → | |
| nuke | 13–6 | 0.06 | 41% | 16 Aug → | |
| nuke | 11–13 | -0.03 | 25% | 6 Aug → | |
| overpass | 13–10 | 0.01 | 38% | 5 Aug → | |
| overpass | 13–3 | 0.04 | 47% | 5 Aug → | |
| ancient | 14–16 | -0.06 | 29% | 5 Aug → | |
| ancient | 14–16 | -0.01 | 18% | 5 Aug → | |
| ancient | 10–13 | -0.01 | 19% | 5 Aug → | |
| nuke | 16–13 | 0.01 | 26% | 5 Aug → | |
| overpass | 8–13 | -0.06 | 22% | 16 Jul → | |
| anubis | 13–10 | 0.04 | 37% | 13 Jul → | |
| ancient | 6–13 | 0.00 | 19% | 10 Jul → | |
| anubis | 16–14 | 0.01 | 17% | 9 Jul → | |
| inferno | 4–13 | -0.06 | 19% | 9 Jul → | |
| ancient | 13–16 | -0.02 | 20% | 9 Jul → | |
| ancient | 14–16 | 0.01 | 37% | 26 Jun → | |
| anubis | 9–13 | -0.01 | 14% | 17 Jun → | |
| ancient | 13–11 | -0.03 | 16% | 11 Jun → | |
| anubis | 6–13 | 0.02 | 37% | 20 May → | |
| anubis | 13–7 | 0.03 | 31% | 19 May → | |
| dust2 | 13–9 | -0.02 | 23% | 15 May → | |
| anubis | 13–6 | 0.02 | 28% | 9 May → | |
| mirage | 8–13 | -0.09 | 22% | 16 Apr → | |
| anubis | 13–8 | -0.04 | 30% | 15 Apr → | |
| dust2 | 5–13 | -0.06 | 33% | 11 Apr → | |
| dust2 | 13–10 | 0.02 | 20% | 11 Apr → | |
| inferno | 13–16 | -0.03 | 20% | 10 Apr → | |
| anubis | 10–13 | -0.01 | 21% | 4 Apr → | |
| ancient | 13–10 | 0.05 | 25% | 29 Mar → | |
| ancient | 6–13 | 0.05 | 22% | 21 Mar → | |
| anubis | 11–13 | 0.00 | 11% | 15 Mar → | |
| anubis | 5–13 | -0.01 | 23% | 26 Feb → | |
| ancient | 13–10 | 0.00 | 33% | 25 Feb → | |
| ancient | 13–0 | -0.00 | 40% | 16 Feb → | |
| nuke | 12–12 | 0.03 | 23% | 25 Jan → | |
| ancient | 13–1 | 0.05 | 20% | 9 Jan → | |
| basalt | 12–12 | -0.05 | 22% | 11 Dec → | |
| ancient | 13–7 | 0.05 | 21% | 27 Nov → | |
| ancient | 6–13 | -0.02 | 27% | 21 Oct → | |
| inferno | 5–13 | -0.08 | 8% | 11 Sept → | |
| dust2 | 16–13 | -0.00 | 17% | 8 Sept → | |
| ancient | 8–13 | -0.01 | 19% | 3 Sept → | |
| dust2 | 13–7 | -0.02 | 16% | 2 Sept → | |
| mirage | 13–3 | 0.02 | 27% | 2 Sept → |
Match data via Leetify.