gooda — CS2 Stats
AU76561198208319524[U:1:248053796]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 2 among CSDB-tracked players (n=338), 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 2 median | Level 3 median | vs Level 3 |
|---|---|---|---|---|
| Headshot rate | 31.0% | 42.1% | 42.1% | 11.1% short |
| Shot accuracy | 17.2% | 12.9% | 12.1% | above |
| Kill/death ratio | 0.90 | 1.00 | 0.99 | 0.09 short |
| Match win rate | 38.2% | 42.9% | 43.9% | 5.7% short |
This profile matches the typical Level 3 player on 1 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 3 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: -30pp win rate · -0.06 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side opener
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 iM 92% playstyle similarity
Most alike: utility contribution, 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
T-side openings. Opening success drops from 54% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.
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 5.7/10 (Solid), 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 |
|---|---|---|---|---|---|
 nuke | C | 25 | 10–15 | 40% | 0.02 |
 overpass | C | 17 | 6–11 | 35% | 0.02 |
 ancient | B | 17 | 9–8 | 53% | 0.00 |
 dust2 | B | 13 | 6–7 | 46% | -0.01 |
 anubis | C | 11 | 4–7 | 36% | -0.00 |
 mirage | D | 8 | 2–6 | 25% | -0.01 |
 inferno | D | 5 | 1–4 | 20% | -0.02 |
 cache | — | 3 | 0–3 | 0% | -0.04 |
| alpine | — | 1 | 0–1 | 0% | -0.08 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (20% over 5). 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 resultsLWLWL
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 12.17% — below the 15% 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 37.5637% — 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 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 4–13 | -0.08 | 11% | 19 Jul → | |
| dust2 | 15–15 | -0.06 | 13% | 13 Jul → | |
| cache | 6–5 | -0.05 | 6% | 8 Jul → | |
| alpine | 2–13 | -0.08 | 4% | 8 Jul → | |
| anubis | 3–13 | -0.03 | 9% | 6 Jul → | |
| overpass | 13–8 | 0.05 | 20% | 6 Jul → | |
| inferno | 11–13 | -0.03 | 15% | 5 Jul → | |
| anubis | 11–13 | 0.03 | 7% | 27 Jun → | |
| inferno | 13–6 | 0.02 | 17% | 27 Jun → | |
| ancient | 11–13 | -0.01 | 11% | 27 Jun → | |
| anubis | 13–3 | 0.04 | 11% | 27 Jun → | |
| overpass | 15–15 | 0.03 | 11% | 27 Jun → | |
| mirage | 8–13 | 0.01 | 18% | 27 Jun → | |
| ancient | 13–9 | 0.03 | 6% | 26 Jun → | |
| nuke | 13–5 | 0.06 | 13% | 26 Jun → | |
| anubis | 9–13 | 0.02 | 20% | 26 Jun → | |
| anubis | 9–13 | -0.02 | 12% | 24 Jun → | |
| nuke | 13–8 | 0.12 | 8% | 24 Jun → | |
| nuke | 13–10 | 0.14 | 7% | 24 Jun → | |
| inferno | 4–9 | -0.10 | 15% | 24 Jun → | |
| ancient | 16–13 | -0.01 | 17% | 23 Jun → | |
| nuke | 7–13 | -0.03 | 11% | 23 Jun → | |
| dust2 | 13–10 | 0.03 | 8% | 22 Jun → | |
| nuke | 13–2 | 0.13 | 22% | 22 Jun → | |
| ancient | 2–13 | -0.04 | 9% | 22 Jun → | |
| mirage | 4–13 | -0.06 | 5% | 20 Jun → | |
| dust2 | 11–13 | -0.03 | 14% | 19 Jun → | |
| ancient | 8–13 | -0.06 | 14% | 19 Jun → | |
| overpass | 8–1 | 0.04 | 15% | 19 Jun → | |
| ancient | 12–16 | -0.00 | 10% | 19 Jun → | |
| nuke | 15–15 | 0.03 | 16% | 17 Jun → | |
| ancient | 13–7 | 0.01 | 10% | 17 Jun → | |
| anubis | 13–11 | 0.06 | 14% | 17 Jun → | |
| dust2 | 10–13 | -0.05 | 20% | 17 Jun → | |
| nuke | 8–8 | -0.02 | 7% | 17 Jun → | |
| dust2 | 13–9 | -0.02 | 12% | 16 Jun → | |
| overpass | 13–11 | 0.07 | 8% | 16 Jun → | |
| inferno | 11–13 | 0.01 | 16% | 16 Jun → | |
| nuke | 13–11 | 0.08 | 13% | 16 Jun → | |
| anubis | 8–13 | -0.02 | 5% | 16 Jun → | |
| dust2 | 12–12 | -0.03 | 6% | 16 Jun → | |
| nuke | 13–3 | 0.11 | 10% | 14 Jun → | |
| nuke | 13–7 | 0.01 | 8% | 14 Jun → | |
| overpass | 13–5 | 0.07 | 9% | 14 Jun → | |
| ancient | 13–3 | 0.03 | 13% | 14 Jun → | |
| dust2 | 13–7 | 0.03 | 14% | 14 Jun → | |
| mirage | 16–14 | -0.05 | 20% | 14 Jun → | |
| overpass | 14–16 | -0.03 | 8% | 12 Jun → | |
| overpass | 10–13 | 0.07 | 11% | 12 Jun → | |
| dust2 | 13–5 | 0.09 | 12% | 12 Jun → | |
| ancient | 13–4 | 0.11 | 9% | 12 Jun → | |
| dust2 | 13–5 | -0.02 | 13% | 12 Jun → | |
| inferno | 15–15 | 0.01 | 8% | 11 Jun → | |
| nuke | 7–13 | -0.03 | 7% | 11 Jun → | |
| dust2 | 11–13 | -0.02 | 12% | 11 Jun → | |
| anubis | 13–9 | 0.01 | 12% | 9 Jun → | |
| overpass | 9–13 | -0.00 | 10% | 9 Jun → | |
| mirage | 13–7 | 0.03 | 11% | 8 Jun → | |
| overpass | 13–10 | 0.02 | 7% | 8 Jun → | |
| ancient | 13–10 | 0.08 | 13% | 3 Jun → | |
| dust2 | 11–13 | -0.02 | 21% | 3 Jun → | |
| ancient | 5–13 | -0.07 | 7% | 1 Jun → | |
| nuke | 8–13 | -0.01 | 15% | 1 Jun → | |
| mirage | 8–13 | 0.03 | 7% | 1 Jun → | |
| anubis | 10–13 | -0.06 | 0% | 27 May → | |
| overpass | 5–13 | -0.06 | 12% | 24 May → | |
| overpass | 10–13 | -0.05 | 9% | 19 May → | |
| nuke | 11–13 | 0.02 | 15% | 17 May → | |
| nuke | 13–9 | 0.03 | 7% | 11 May → | |
| overpass | 8–13 | 0.09 | 7% | 7 May → | |
| mirage | 6–13 | -0.06 | 5% | 7 May → | |
| nuke | 4–13 | -0.08 | 17% | 7 May → | |
| nuke | 13–2 | 0.22 | 9% | 7 May → | |
| anubis | 6–13 | 0.01 | 6% | 5 May → | |
| nuke | 4–13 | -0.07 | 3% | 5 May → | |
| nuke | 4–13 | 0.01 | 3% | 4 May → | |
| overpass | 11–13 | 0.01 | 12% | 4 May → | |
| overpass | 13–3 | 0.14 | 5% | 4 May → | |
| nuke | 9–13 | 0.01 | 15% | 3 May → | |
| ancient | 11–13 | -0.05 | 9% | 1 May → | |
| nuke | 11–13 | -0.01 | 19% | 1 May → | |
| cache | 7–13 | -0.05 | 6% | 29 Apr → | |
| overpass | 15–15 | 0.05 | 9% | 29 Apr → | |
| cache | 2–13 | -0.03 | 13% | 29 Apr → | |
| mirage | 8–13 | -0.01 | 10% | 21 Apr → | |
| ancient | 13–7 | 0.04 | 11% | 21 Apr → | |
| nuke | 15–15 | 0.00 | 14% | 21 Apr → | |
| ancient | 13–9 | -0.04 | 14% | 18 Apr → | |
| nuke | 5–13 | -0.04 | 0% | 12 Feb → | |
| dust2 | 12–12 | -0.04 | 12% | 12 Feb → | |
| nuke | 13–4 | -0.05 | 12% | 10 Feb → | |
| ancient | 7–13 | -0.05 | 16% | 10 Feb → | |
| ancient | 10–13 | -0.03 | 15% | 10 Feb → | |
| dust2 | 13–11 | -0.02 | 8% | 10 Feb → | |
| anubis | 13–10 | -0.03 | 14% | 6 Feb → | |
| overpass | 15–15 | -0.06 | 10% | 6 Feb → | |
| ancient | 16–12 | 0.04 | 10% | 5 Feb → | |
| nuke | 10–13 | 0.01 | 14% | 5 Feb → | |
| overpass | 9–13 | -0.02 | 3% | 5 Feb → | |
| mirage | 9–13 | -0.00 | 10% | 5 Feb → |
Match data via Leetify.