✪ Gooey — CS2 Stats
76561199117067884[U:1:1156802156]✓ No bans
How this compares with the same rank
Median values for Level 3 among CSDB-tracked players (n=607), 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 3 median | Level 4 median | vs Level 4 |
|---|---|---|---|---|
| Headshot rate | 54.0% | 42.1% | 42.5% | above |
| Shot accuracy | 11.7% | 12.1% | 10.9% | above |
| Kill/death ratio | 1.38 | 0.99 | 0.99 | above |
| Match win rate | 53.1% | 43.9% | 44.2% | above |
Across every metric we can compare, this profile already matches the typical Level 4 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · +0.00 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 device 86% playstyle similarity
Most alike: positioning profile, opening-fight frequency.
Where you differ: lower utility contribution; 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. 644ms 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 5.5/10 (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 |
|---|---|---|---|---|---|
 dust2 | B | 57 | 26–31 | 46% | 0.04 |
 cache | B | 15 | 8–7 | 53% | 0.02 |
 mirage | B | 10 | 5–5 | 50% | 0.00 |
 inferno | D | 10 | 3–7 | 30% | -0.01 |
 nuke | — | 3 | 1–2 | 33% | -0.01 |
 train | — | 2 | 0–2 | 0% | 0.02 |
 vertigo | — | 1 | 0–1 | 0% | 0.01 |
 ancient | — | 1 | 0–1 | 0% | -0.06 |
 overpass | — | 1 | 0–1 | 0% | -0.00 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (30% over 10). 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.
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.
30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 3–13 | 0.08 | 30% | 20 Aug → | |
| dust2 | 13–10 | 0.12 | 24% | 20 Aug → | |
| cache | 1–9 | -0.05 | 29% | 19 Aug → | |
| dust2 | 13–6 | 0.07 | 18% | 19 Aug → | |
| dust2 | 11–13 | 0.09 | 23% | 18 Aug → | |
| dust2 | 11–13 | 0.05 | 23% | 18 Aug → | |
| dust2 | 13–2 | 0.05 | 25% | 18 Aug → | |
| dust2 | 13–8 | 0.13 | 25% | 17 Aug → | |
| dust2 | 13–4 | 0.12 | 24% | 17 Aug → | |
| dust2 | 12–12 | 0.04 | 16% | 14 Aug → | |
| dust2 | 13–11 | 0.14 | 22% | 14 Aug → | |
| dust2 | 13–6 | 0.13 | 21% | 14 Aug → | |
| dust2 | 13–10 | 0.02 | 16% | 14 Aug → | |
| dust2 | 13–9 | 0.00 | 18% | 13 Aug → | |
| dust2 | 13–11 | 0.07 | 29% | 13 Aug → | |
| dust2 | 12–12 | 0.03 | 30% | 13 Aug → | |
| dust2 | 4–13 | -0.05 | 5% | 13 Aug → | |
| dust2 | 1–13 | 0.02 | 33% | 13 Aug → | |
| dust2 | 6–1 | 0.26 | 35% | 13 Aug → | |
| dust2 | 13–9 | 0.02 | 14% | 12 Aug → | |
| dust2 | 12–12 | 0.03 | 12% | 12 Aug → | |
| dust2 | 9–13 | 0.05 | 21% | 12 Aug → | |
| dust2 | 10–13 | 0.06 | 22% | 12 Aug → | |
| dust2 | 9–13 | -0.00 | 14% | 12 Aug → | |
| mirage | 9–13 | 0.03 | 19% | 12 Aug → | |
| dust2 | 4–13 | 0.05 | 52% | 12 Aug → | |
| dust2 | 8–13 | 0.08 | 24% | 11 Aug → | |
| mirage | 4–13 | 0.00 | 17% | 11 Aug → | |
| dust2 | 12–12 | -0.03 | 14% | 31 Jul → | |
| dust2 | 1–8 | 0.01 | 11% | 10 Jul → | |
| dust2 | 0–13 | -0.09 | 25% | 9 Jul → | |
| dust2 | 5–12 | -0.09 | 9% | 9 Jul → | |
| dust2 | 13–4 | 0.01 | 16% | 8 Jul → | |
| dust2 | 10–13 | 0.06 | 30% | 7 Jul → | |
| dust2 | 6–12 | -0.01 | 21% | 5 Jul → | |
| dust2 | 13–11 | 0.04 | 29% | 3 Jul → | |
| cache | 2–8 | 0.05 | 26% | 2 Jul → | |
| dust2 | 6–13 | -0.02 | 18% | 15 Jun → | |
| inferno | 9–2 | 0.22 | 33% | 14 Jun → | |
| dust2 | 13–4 | 0.09 | 32% | 10 Jun → | |
| cache | 13–2 | 0.07 | 24% | 9 Jun → | |
| mirage | 13–3 | 0.05 | 31% | 9 Jun → | |
| cache | 13–5 | 0.02 | 24% | 4 Jun → | |
| cache | 13–3 | 0.06 | 21% | 3 Jun → | |
| mirage | 13–10 | -0.01 | 24% | 3 Jun → | |
| mirage | 13–6 | 0.06 | 20% | 1 Jun → | |
| nuke | 9–1 | 0.05 | 33% | 29 May → | |
| dust2 | 0–6 | -0.06 | 13% | 29 May → | |
| cache | 8–13 | 0.04 | 33% | 29 May → | |
| nuke | 2–9 | -0.13 | 31% | 23 May → | |
| inferno | 2–9 | -0.17 | 27% | 23 May → | |
| dust2 | 10–13 | 0.09 | 25% | 23 May → | |
| cache | 11–13 | 0.01 | 11% | 22 May → | |
| cache | 6–13 | 0.08 | 22% | 22 May → | |
| cache | 13–1 | 0.14 | 35% | 19 May → | |
| dust2 | 1–13 | -0.06 | 27% | 17 May → | |
| cache | 13–6 | -0.03 | 24% | 17 May → | |
| dust2 | 13–3 | 0.07 | 39% | 16 May → | |
| cache | 13–9 | -0.04 | 22% | 16 May → | |
| cache | 11–13 | -0.08 | 30% | 12 May → | |
| dust2 | 13–3 | 0.05 | 26% | 10 May → | |
| dust2 | 13–2 | 0.09 | 28% | 9 May → | |
| cache | 13–10 | 0.02 | 18% | 9 May → | |
| cache | 13–9 | 0.05 | 13% | 8 May → | |
| cache | 11–13 | -0.01 | 16% | 29 Apr → | |
| train | 12–12 | 0.01 | 18% | 28 Apr → | |
| dust2 | 10–13 | 0.01 | 18% | 24 Apr → | |
| dust2 | 6–13 | -0.02 | 20% | 19 Apr → | |
| mirage | 8–13 | -0.01 | 19% | 2 Apr → | |
| dust2 | 8–8 | 0.02 | 29% | 31 Mar → | |
| train | 10–13 | 0.03 | 30% | 31 Mar → | |
| inferno | 2–13 | 0.02 | 23% | 29 Mar → | |
| inferno | 8–13 | -0.06 | 20% | 29 Mar → | |
| dust2 | 13–7 | 0.04 | 15% | 27 Mar → | |
| dust2 | 13–4 | 0.02 | 20% | 26 Mar → | |
| mirage | 13–9 | 0.01 | 43% | 26 Mar → | |
| vertigo | 4–13 | 0.01 | 23% | 26 Mar → | |
| ancient | 6–13 | -0.06 | 15% | 26 Mar → | |
| dust2 | 13–6 | 0.09 | 16% | 24 Mar → | |
| inferno | 4–13 | -0.15 | 0% | 24 Mar → | |
| inferno | 8–13 | 0.02 | 30% | 23 Mar → | |
| dust2 | 13–10 | 0.08 | 15% | 23 Mar → | |
| dust2 | 4–13 | 0.01 | 18% | 23 Mar → | |
| nuke | 3–13 | 0.05 | 17% | 23 Mar → | |
| dust2 | 8–13 | 0.01 | 29% | 19 Mar → | |
| mirage | 5–13 | -0.06 | 16% | 18 Mar → | |
| dust2 | 13–8 | -0.03 | 19% | 18 Mar → | |
| dust2 | 13–10 | 0.09 | 17% | 18 Mar → | |
| dust2 | 8–13 | 0.07 | 16% | 17 Mar → | |
| inferno | 6–9 | 0.03 | 26% | 17 Mar → | |
| inferno | 9–7 | 0.01 | 24% | 17 Mar → | |
| inferno | 3–9 | -0.09 | 32% | 17 Mar → | |
| inferno | 9–5 | 0.06 | 18% | 17 Mar → | |
| overpass | 6–9 | -0.00 | 13% | 17 Mar → | |
| mirage | 13–4 | -0.04 | 29% | 6 Mar → | |
| dust2 | 11–13 | -0.04 | 14% | 4 Mar → | |
| mirage | 5–13 | 0.01 | 32% | 25 Feb → | |
| dust2 | 4–13 | 0.07 | 24% | 25 Feb → | |
| dust2 | 8–13 | -0.07 | 8% | 21 Feb → | |
| dust2 | 13–5 | 0.05 | 28% | 21 Feb → |
Match data via Leetify.