Buffon — CS2 Stats
CA76561198109596378[U:1:149330650]Steam profile ↗
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 | 48.1% | 42.1% | 42.5% | above |
| Shot accuracy | 18.5% | 12.1% | 10.9% | above |
| Kill/death ratio | 1.38 | 0.99 | 0.99 | above |
| Match win rate | 42.2% | 43.9% | 44.2% | 2.0% short |
This profile matches the typical Level 4 player on 3 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Level 4 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 · +0.03 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Limited utility dependence
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 sh1ro 87% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower aim profile; lower utility contribution.
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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 571ms 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 |
|---|---|---|---|---|---|
| A | 29 | 18–11 | 62% | 0.01 | |
| C | 21 | 9–12 | 43% | 0.01 | |
| C | 14 | 6–8 | 43% | 0.00 | |
| B | 13 | 7–6 | 54% | 0.00 | |
| D | 10 | 3–7 | 30% | -0.03 | |
| A | 8 | 5–3 | 63% | -0.00 | |
| — | 3 | 1–2 | 33% | 0.01 | |
| — | 2 | 1–1 | 50% | -0.03 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (30% over 10). 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.
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.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4549 — below the 0.5 mark we flag
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 | |
|---|---|---|---|---|---|
| 13–4 | 0.03 | 28% | 3 Jun → | ||
| 13–11 | 0.07 | 20% | 13 Apr → | ||
| 7–13 | -0.08 | 18% | 13 Apr → | ||
| 13–3 | 0.01 | 29% | 7 Apr → | ||
| 16–13 | 0.04 | 24% | 26 Mar → | ||
| 11–13 | 0.07 | 26% | 26 Mar → | ||
| 13–8 | 0.08 | 23% | 25 Mar → | ||
| 8–13 | 0.02 | 29% | 24 Mar → | ||
| 14–16 | -0.07 | 23% | 19 Mar → | ||
| 13–10 | 0.04 | 20% | 19 Mar → | ||
| 12–16 | -0.03 | 28% | 17 Mar → | ||
| 13–5 | 0.08 | 44% | 17 Mar → | ||
| 8–13 | -0.05 | 33% | 17 Mar → | ||
| 13–7 | 0.02 | 18% | 17 Mar → | ||
| 11–13 | 0.04 | 17% | 16 Mar → | ||
| 13–9 | 0.05 | 35% | 11 Mar → | ||
| 5–13 | -0.06 | 26% | 6 Mar → | ||
| 11–13 | -0.03 | 28% | 19 Feb → | ||
| 13–11 | -0.05 | 20% | 19 Feb → | ||
| 8–13 | -0.09 | 17% | 18 Feb → | ||
| 8–13 | 0.04 | 15% | 18 Feb → | ||
| 13–16 | -0.07 | 17% | 14 Feb → | ||
| 8–13 | -0.02 | 17% | 14 Feb → | ||
| 13–4 | 0.15 | 24% | 13 Feb → | ||
| 0–7 | -0.16 | 11% | 13 Feb → | ||
| 13–16 | 0.01 | 29% | 13 Feb → | ||
| 4–13 | -0.08 | 20% | 11 Feb → | ||
| 13–8 | -0.04 | 19% | 11 Feb → | ||
| 5–13 | -0.04 | 19% | 10 Feb → | ||
| 13–11 | -0.00 | 15% | 7 Feb → | ||
| 10–13 | -0.04 | 15% | 6 Feb → | ||
| 13–9 | 0.01 | 16% | 6 Feb → | ||
| 13–7 | -0.01 | 16% | 6 Feb → | ||
| 13–5 | -0.00 | 19% | 6 Feb → | ||
| 16–13 | 0.02 | 29% | 5 Feb → | ||
| 13–10 | -0.00 | 20% | 5 Feb → | ||
| 13–7 | 0.04 | 42% | 5 Feb → | ||
| 13–7 | 0.10 | 18% | 5 Feb → | ||
| 13–9 | 0.05 | 14% | 4 Feb → | ||
| 16–12 | 0.03 | 23% | 4 Feb → | ||
| 13–9 | -0.01 | 40% | 4 Feb → | ||
| 6–13 | 0.02 | 33% | 4 Feb → | ||
| 13–11 | -0.02 | 21% | 3 Feb → | ||
| 11–13 | -0.02 | 14% | 3 Feb → | ||
| 13–3 | 0.04 | 24% | 3 Feb → | ||
| 11–13 | 0.03 | 31% | 3 Feb → | ||
| 6–13 | -0.05 | 11% | 3 Feb → | ||
| 9–13 | -0.09 | 22% | 2 Feb → | ||
| 9–13 | 0.03 | 28% | 31 Jan → | ||
| 15–15 | 0.01 | 10% | 31 Jan → | ||
| 8–13 | -0.04 | 40% | 30 Jan → | ||
| 10–13 | 0.00 | 16% | 30 Jan → | ||
| 13–8 | 0.01 | 15% | 29 Jan → | ||
| 13–2 | 0.05 | 28% | 29 Jan → | ||
| 11–13 | 0.00 | 7% | 27 Jan → | ||
| 13–8 | 0.04 | 21% | 27 Jan → | ||
| 15–15 | 0.03 | 16% | 26 Jan → | ||
| 3–13 | -0.05 | 6% | 26 Jan → | ||
| 13–2 | 0.05 | 14% | 26 Jan → | ||
| 13–9 | -0.04 | 6% | 26 Jan → | ||
| 13–6 | 0.04 | 9% | 26 Jan → | ||
| 11–13 | -0.04 | 29% | 25 Jan → | ||
| 13–10 | -0.09 | 26% | 24 Jan → | ||
| 7–13 | -0.01 | 33% | 22 Jan → | ||
| 5–13 | -0.01 | 12% | 22 Jan → | ||
| 16–14 | -0.03 | 16% | 22 Jan → | ||
| 13–9 | -0.03 | 19% | 19 Jan → | ||
| 13–9 | -0.01 | 18% | 19 Jan → | ||
| 15–15 | 0.04 | 21% | 19 Jan → | ||
| 15–15 | -0.06 | 6% | 19 Jan → | ||
| 8–3 | 0.07 | 31% | 19 Jan → | ||
| 13–7 | 0.06 | 38% | 19 Jan → | ||
| 13–10 | -0.02 | 38% | 18 Jan → | ||
| 13–11 | 0.02 | 28% | 18 Jan → | ||
| 9–13 | 0.02 | 19% | 17 Jan → | ||
| 11–13 | 0.06 | 13% | 17 Jan → | ||
| 9–13 | -0.04 | 20% | 15 Jan → | ||
| 11–13 | -0.01 | 18% | 15 Jan → | ||
| 13–3 | 0.01 | 20% | 15 Jan → | ||
| 13–8 | 0.00 | 11% | 14 Jan → | ||
| 13–6 | 0.04 | 21% | 10 Jan → | ||
| 11–13 | 0.08 | 23% | 10 Jan → | ||
| 4–13 | -0.05 | 18% | 9 Jan → | ||
| 15–15 | -0.00 | 26% | 8 Jan → | ||
| 13–9 | 0.02 | 22% | 6 Jan → | ||
| 10–13 | -0.03 | 22% | 6 Jan → | ||
| 9–13 | -0.02 | 30% | 31 Dec → | ||
| 13–11 | -0.00 | 6% | 31 Dec → | ||
| 12–12 | 0.00 | 19% | 29 Dec → | ||
| 13–9 | -0.02 | 25% | 29 Dec → | ||
| 8–13 | -0.03 | 17% | 28 Dec → | ||
| 13–9 | 0.03 | 23% | 27 Dec → | ||
| 13–10 | -0.06 | 19% | 27 Dec → | ||
| 9–13 | 0.05 | 25% | 24 Dec → | ||
| 13–8 | -0.03 | 21% | 24 Dec → | ||
| 13–3 | 0.03 | 19% | 22 Dec → | ||
| 13–10 | 0.04 | 18% | 22 Dec → | ||
| 15–15 | 0.01 | 24% | 17 Dec → | ||
| 7–13 | 0.09 | 28% | 16 Dec → | ||
| 10–13 | 0.03 | 25% | 14 Dec → |
Match data via Leetify.