Dr. Gonzo — CS2 Stats
76561197976426124[U:1:16160396]
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=201), 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 | Pink band median | vs Pink band |
|---|---|---|---|
| Headshot rate | 36.4% | 48.1% | 11.6% short |
| Shot accuracy | 7.5% | 12.9% | 5.3% short |
| Kill/death ratio | 0.90 | 1.08 | 0.19 short |
| Match win rate | 38.7% | 46.5% | 7.8% short |
This profile sits below the typical Pink band player on every metric we can compare.
Widest gap: Shot accuracy. That is the metric furthest from the Pink 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: +20pp win rate · -0.00 avg rating
Player DNA
Primary style: Clutch Specialist — Late-round 1vX conversion well above par.
Reliable 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 iM 89% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
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 →
CSDB Rating breakdown
Composite 5.2/10 (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 |
|---|---|---|---|---|---|
| A | 23 | 13–10 | 57% | 0.02 | |
| C | 20 | 8–12 | 40% | -0.00 | |
| A | 16 | 9–7 | 56% | 0.01 | |
| C | 15 | 6–9 | 40% | -0.00 | |
| C | 14 | 5–9 | 36% | 0.01 | |
| D | 6 | 1–5 | 17% | -0.00 | |
| — | 3 | 0–3 | 0% | -0.04 | |
| — | 2 | 0–2 | 0% | -0.06 | |
| — | 1 | 0–1 | 0% | -0.03 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis 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 resultsLWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 12 | 67% | 0.98 | 17.6 |
| Mirage | 6 | 67% | 1.55 | 17.3 |
| Anubis | 5 | 20% | 0.94 | 17.8 |
| Dust2 | 3 | 67% | 1.10 | 12.0 |
| Nuke | 3 | 100% | 1.64 | 13.0 |
| Ancient | 3 | 67% | 1.16 | 20.3 |
| Vertigo | 1 | 100% | 1.44 | 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.
- 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 13.646° — above the 12° mark we flag
- 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 11.564% — below the 15% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | 0.02 | 7% | 28 Aug → | ||
| 10–13 | 0.02 | 11% | 28 Aug → | ||
| 6–13 | 0.00 | 7% | 26 Aug → | ||
| 9–13 | 0.02 | 8% | 26 Aug → | ||
| 13–11 | 0.05 | 11% | 22 Aug → | ||
| 12–16 | 0.00 | 15% | 21 Aug → | ||
| 13–7 | 0.07 | 16% | 21 Aug → | ||
| 15–15 | -0.04 | 5% | 20 Aug → | ||
| 9–13 | 0.03 | 16% | 20 Aug → | ||
| 13–10 | 0.05 | 11% | 20 Aug → | ||
| 13–4 | 0.05 | 17% | 18 Aug → | ||
| 12–16 | 0.02 | 7% | 18 Aug → | ||
| 13–6 | 0.02 | 16% | 17 Aug → | ||
| 11–13 | 0.08 | 6% | 17 Aug → | ||
| 15–15 | 0.00 | 6% | 15 Aug → | ||
| 10–13 | -0.02 | 19% | 15 Aug → | ||
| 9–13 | 0.03 | 10% | 15 Aug → | ||
| 13–16 | 0.12 | 8% | 15 Aug → | ||
| 12–16 | 0.01 | 12% | 14 Aug → | ||
| 10–13 | -0.07 | 2% | 14 Aug → | ||
| 13–7 | 0.00 | 6% | 13 Aug → | ||
| 11–13 | 0.01 | 12% | 13 Aug → | ||
| 7–13 | 0.06 | 10% | 13 Aug → | ||
| 13–6 | 0.04 | 17% | 10 Aug → | ||
| 8–13 | -0.01 | 17% | 10 Aug → | ||
| 13–11 | 0.02 | 22% | 9 Aug → | ||
| 13–2 | 0.06 | 28% | 1 Aug → | ||
| 12–16 | -0.03 | 9% | 28 Jul → | ||
| 13–7 | 0.02 | 7% | 28 Jul → | ||
| 13–11 | 0.03 | 22% | 27 Jul → | ||
| 13–9 | 0.05 | 8% | 27 Jul → | ||
| 8–13 | -0.00 | 11% | 27 Jul → | ||
| 13–8 | 0.02 | 8% | 26 Jul → | ||
| 16–14 | 0.06 | 8% | 26 Jul → | ||
| 13–9 | 0.02 | 13% | 25 Jul → | ||
| 4–13 | -0.02 | 10% | 24 Jul → | ||
| 16–14 | 0.05 | 7% | 24 Jul → | ||
| 15–15 | -0.02 | 6% | 23 Jul → | ||
| 10–13 | -0.02 | 9% | 23 Jul → | ||
| 13–8 | 0.04 | 8% | 18 Jul → | ||
| 4–13 | -0.02 | 9% | 18 Jul → | ||
| 9–4 | -0.07 | 4% | 18 Jul → | ||
| 1–13 | -0.10 | 17% | 16 Jul → | ||
| 11–13 | 0.01 | 6% | 16 Jul → | ||
| 4–13 | -0.01 | 7% | 15 Jul → | ||
| 13–8 | 0.02 | 13% | 15 Jul → | ||
| 14–16 | -0.02 | 7% | 14 Jul → | ||
| 9–13 | -0.04 | 7% | 11 Jul → | ||
| 13–11 | 0.06 | 9% | 8 Jul → | ||
| 9–13 | -0.03 | 11% | 4 Jul → | ||
| 13–10 | 0.03 | 8% | 2 Jul → | ||
| 11–13 | -0.02 | 3% | 2 Jul → | ||
| 10–13 | -0.03 | 8% | 2 Jul → | ||
| 7–13 | -0.02 | 8% | 30 May → | ||
| 16–14 | -0.01 | 7% | 30 May → | ||
| 14–16 | -0.06 | 11% | 10 May → | ||
| 13–10 | -0.00 | 13% | 10 May → | ||
| 13–9 | 0.05 | 5% | 10 May → | ||
| 13–8 | 0.00 | 9% | 10 May → | ||
| 11–13 | -0.08 | 17% | 10 May → | ||
| 10–13 | 0.01 | 9% | 7 May → | ||
| 9–13 | -0.01 | 7% | 7 May → | ||
| 6–13 | 0.03 | 11% | 9 Apr → | ||
| 15–15 | -0.01 | 16% | 7 Apr → | ||
| 13–10 | 0.02 | 9% | 7 Apr → | ||
| 13–16 | 0.00 | 13% | 7 Apr → | ||
| 5–13 | -0.01 | 31% | 7 Apr → | ||
| 13–7 | 0.06 | 18% | 18 Mar → | ||
| 13–9 | 0.02 | 9% | 18 Mar → | ||
| 13–9 | 0.04 | 10% | 18 Mar → | ||
| 2–13 | -0.01 | 12% | 18 Mar → | ||
| 3–13 | -0.07 | 16% | 18 Mar → | ||
| 11–13 | -0.06 | 10% | 8 Mar → | ||
| 13–5 | 0.04 | 11% | 7 Mar → | ||
| 15–15 | 0.06 | 13% | 7 Mar → | ||
| 11–13 | 0.01 | 9% | 7 Mar → | ||
| 13–4 | -0.00 | 17% | 7 Mar → | ||
| 13–7 | 0.03 | 11% | 7 Mar → | ||
| 16–12 | -0.03 | 13% | 2 Mar → | ||
| 8–13 | -0.03 | 26% | 26 Feb → | ||
| 5–13 | -0.05 | 12% | 22 Feb → | ||
| 5–13 | -0.09 | 18% | 22 Feb → | ||
| 16–14 | -0.06 | 6% | 22 Feb → | ||
| 6–13 | -0.03 | 7% | 22 Feb → | ||
| 13–11 | 0.01 | 16% | 21 Feb → | ||
| 13–4 | -0.04 | 18% | 21 Feb → | ||
| 10–13 | 0.02 | 12% | 21 Feb → | ||
| 6–13 | -0.02 | 17% | 21 Feb → | ||
| 13–4 | 0.06 | 10% | 21 Feb → | ||
| 13–11 | -0.03 | 10% | 17 Feb → | ||
| 13–10 | -0.01 | 13% | 16 Feb → | ||
| 10–13 | -0.02 | 13% | 16 Feb → | ||
| 8–13 | -0.04 | 8% | 16 Feb → | ||
| 5–13 | -0.02 | 11% | 15 Feb → | ||
| 16–13 | 0.02 | 10% | 15 Feb → | ||
| 4–13 | -0.04 | 9% | 15 Feb → | ||
| 10–13 | 0.01 | 13% | 15 Feb → | ||
| 13–16 | 0.02 | 13% | 15 Feb → | ||
| 13–10 | 0.04 | 5% | 14 Feb → | ||
| 5–13 | -0.06 | 15% | 14 Feb → |
Match data via Leetify.
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