Goonicide96 — CS2 Stats
CA76561198144782917[U:1:184517189]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 5 among CSDB-tracked players (n=1,660), 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 5 median | Level 6 median | vs Level 6 |
|---|---|---|---|---|
| Headshot rate | 43.2% | 44.0% | 44.7% | 1.5% short |
| Shot accuracy | 15.2% | 11.6% | 11.9% | above |
| Kill/death ratio | 1.06 | 1.03 | 1.04 | meets |
| Match win rate | 52.8% | 45.1% | 45.2% | above |
This profile matches the typical Level 6 player on 3 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 6 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
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 82% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
Where you differ: lower positioning profile; 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. 610ms 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 4.9/10 (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 |
|---|---|---|---|---|---|
 inferno | D | 20 | 4–16 | 20% | -0.02 |
 nuke | A | 19 | 11–8 | 58% | -0.02 |
| office | B | 15 | 7–8 | 47% | 0.00 |
 vertigo | S | 12 | 9–3 | 75% | -0.02 |
 anubis | B | 10 | 5–5 | 50% | -0.05 |
 train | B | 6 | 3–3 | 50% | -0.02 |
 overpass | — | 3 | 3–0 | 100% | -0.01 |
 mirage | — | 3 | 1–2 | 33% | -0.02 |
| warden | — | 3 | 1–2 | 33% | -0.03 |
 cache | — | 2 | 0–2 | 0% | -0.06 |
 ancient | — | 2 | 1–1 | 50% | -0.05 |
| alpine | — | 2 | 1–1 | 50% | -0.03 |
 dust2 | — | 2 | 2–0 | 100% | 0.00 |
| stronghold | — | 1 | 1–0 | 100% | 0.01 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (20% over 20). Start with the 6 essential Inferno 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 resultsWLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 10 | 60% | 0.80 | 13.0 |
| Mirage | 10 | 70% | 1.09 | 17.6 |
| Dust2 | 7 | 71% | 1.02 | 12.7 |
| Vertigo | 5 | 60% | 0.83 | 11.4 |
| Overpass | 3 | 67% | 0.80 | 11.3 |
| Nuke | 2 | 50% | 0.58 | 9.5 |
| Anubis | 1 | 0% | 0.60 | 9.0 |
| Ancient | 1 | 100% | 1.40 | 14.0 |
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.
- 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 32.3032% — 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.
20% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 12–12 | -0.04 | 24% | 30 Aug → | |
| cache | 4–13 | -0.04 | 13% | 25 Aug → | |
| vertigo | 13–5 | -0.03 | 18% | 25 Aug → | |
| inferno | 8–13 | -0.02 | 9% | 25 Aug → | |
| nuke | 13–8 | 0.04 | 21% | 25 Aug → | |
| office | 13–1 | 0.07 | 33% | 25 Aug → | |
| office | 13–8 | 0.11 | 29% | 19 Aug → | |
| nuke | 6–13 | -0.04 | 14% | 9 Aug → | |
| inferno | 6–13 | -0.02 | 21% | 2 Aug → | |
| vertigo | 13–3 | -0.02 | 12% | 2 Aug → | |
| anubis | 13–9 | -0.08 | 17% | 28 Jul → | |
| vertigo | 13–7 | -0.05 | 4% | 28 Jul → | |
| vertigo | 12–12 | 0.01 | 21% | 27 Jul → | |
| inferno | 8–13 | -0.07 | 8% | 27 Jul → | |
| anubis | 0–10 | -0.06 | 25% | 23 Jul → | |
| nuke | 10–13 | -0.03 | 27% | 23 Jul → | |
| inferno | 4–0 | 0.11 | 71% | 23 Jul → | |
| inferno | 13–9 | 0.04 | 30% | 23 Jul → | |
| vertigo | 13–10 | -0.00 | 15% | 27 Jun → | |
| inferno | 12–12 | -0.02 | 25% | 27 Jun → | |
| overpass | 13–9 | -0.03 | 3% | 25 Jun → | |
| anubis | 10–13 | -0.05 | 8% | 25 Jun → | |
| nuke | 12–12 | -0.09 | 31% | 25 Jun → | |
| vertigo | 13–5 | -0.12 | 9% | 25 Jun → | |
| inferno | 10–13 | -0.05 | 14% | 25 Jun → | |
| cache | 4–13 | -0.09 | 24% | 25 Jun → | |
| mirage | 13–11 | 0.04 | 22% | 8 Jun → | |
| inferno | 9–13 | -0.05 | 11% | 2 Jun → | |
| office | 4–13 | -0.06 | 32% | 1 Jun → | |
| inferno | 12–12 | 0.01 | 28% | 5 May → | |
| inferno | 9–13 | -0.00 | 16% | 2 Apr → | |
| office | 10–13 | -0.04 | 30% | 2 Apr → | |
| office | 12–12 | -0.04 | 9% | 31 Mar → | |
| train | 6–13 | -0.02 | 17% | 30 Mar → | |
| office | 13–1 | -0.01 | 27% | 29 Mar → | |
| nuke | 13–9 | -0.00 | 38% | 29 Mar → | |
| anubis | 13–3 | -0.04 | 17% | 29 Mar → | |
| vertigo | 12–12 | -0.02 | 18% | 29 Mar → | |
| stronghold | 13–5 | 0.01 | 20% | 29 Mar → | |
| warden | 13–4 | -0.00 | 18% | 29 Mar → | |
| office | 13–5 | 0.01 | 33% | 27 Mar → | |
| nuke | 13–11 | -0.00 | 25% | 27 Mar → | |
| nuke | 13–10 | 0.01 | 19% | 27 Mar → | |
| office | 12–12 | 0.02 | 21% | 26 Mar → | |
| inferno | 13–5 | 0.04 | 19% | 25 Mar → | |
| inferno | 5–6 | -0.02 | 0% | 25 Mar → | |
| nuke | 5–13 | 0.01 | 35% | 25 Mar → | |
| nuke | 13–7 | 0.05 | 28% | 25 Mar → | |
| anubis | 13–9 | 0.03 | 22% | 24 Mar → | |
| nuke | 11–13 | -0.06 | 21% | 24 Mar → | |
| office | 8–13 | 0.01 | 32% | 19 Mar → | |
| ancient | 13–8 | -0.04 | 17% | 5 Mar → | |
| vertigo | 13–4 | 0.04 | 25% | 5 Mar → | |
| inferno | 10–13 | -0.07 | 28% | 4 Mar → | |
| alpine | 11–13 | -0.07 | 19% | 1 Mar → | |
| warden | 10–13 | -0.01 | 25% | 1 Mar → | |
| train | 13–3 | -0.00 | 23% | 28 Feb → | |
| nuke | 13–7 | -0.08 | 19% | 28 Feb → | |
| vertigo | 13–6 | -0.04 | 12% | 28 Feb → | |
| nuke | 13–8 | 0.00 | 17% | 28 Feb → | |
| overpass | 13–8 | -0.03 | 19% | 28 Feb → | |
| anubis | 13–8 | -0.06 | 12% | 12 Feb → | |
| mirage | 10–13 | 0.00 | 19% | 11 Feb → | |
| anubis | 13–3 | -0.04 | 11% | 10 Feb → | |
| mirage | 6–13 | -0.11 | 7% | 10 Feb → | |
| vertigo | 13–3 | 0.01 | 5% | 10 Feb → | |
| nuke | 13–2 | -0.01 | 0% | 10 Feb → | |
| train | 13–9 | -0.04 | 12% | 10 Feb → | |
| vertigo | 13–8 | -0.03 | 12% | 10 Feb → | |
| dust2 | 13–5 | -0.02 | 16% | 10 Feb → | |
| nuke | 10–13 | -0.08 | 8% | 7 Feb → | |
| dust2 | 13–9 | 0.03 | 36% | 7 Feb → | |
| office | 3–13 | -0.04 | 13% | 2 Feb → | |
| inferno | 3–13 | -0.08 | 20% | 2 Feb → | |
| nuke | 9–13 | 0.02 | 22% | 1 Feb → | |
| inferno | 5–13 | -0.04 | 4% | 1 Feb → | |
| anubis | 7–13 | -0.09 | 6% | 31 Jan → | |
| train | 8–13 | -0.05 | 16% | 31 Jan → | |
| inferno | 10–0 | 0.01 | 3% | 31 Jan → | |
| train | 13–2 | 0.02 | 15% | 28 Jan → | |
| anubis | 3–13 | -0.05 | 24% | 28 Jan → | |
| inferno | 8–13 | -0.05 | 6% | 28 Jan → | |
| nuke | 13–8 | -0.02 | 17% | 28 Jan → | |
| office | 13–8 | -0.04 | 16% | 28 Jan → | |
| office | 13–4 | -0.00 | 32% | 28 Jan → | |
| inferno | 11–13 | -0.03 | 22% | 27 Jan → | |
| nuke | 13–4 | -0.03 | 11% | 27 Jan → | |
| office | 11–13 | 0.01 | 15% | 27 Jan → | |
| vertigo | 11–13 | 0.03 | 25% | 27 Jan → | |
| office | 9–13 | -0.04 | 6% | 26 Jan → | |
| anubis | 4–13 | -0.09 | 13% | 26 Jan → | |
| overpass | 13–8 | 0.03 | 21% | 26 Jan → | |
| ancient | 7–13 | -0.06 | 21% | 26 Jan → | |
| train | 9–13 | -0.03 | 24% | 26 Jan → | |
| nuke | 13–9 | 0.02 | 16% | 26 Jan → | |
| warden | 7–13 | -0.08 | 14% | 25 Jan → | |
| inferno | 6–13 | -0.03 | 17% | 25 Jan → | |
| alpine | 13–11 | 0.01 | 12% | 25 Jan → | |
| inferno | 4–13 | -0.05 | 27% | 23 Jan → | |
| office | 13–6 | 0.06 | 12% | 23 Jan → |
Match data via Leetify.
