Bonk — CS2 Stats
76561199625884282[U:1:1665618554]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=3,917), 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 | Red band median | vs Red band |
|---|---|---|---|---|
| Headshot rate | 56.4% | 47.2% | 49.9% | above |
| Shot accuracy | 0.0% | 12.7% | 13.4% | 13.4% short |
| Kill/death ratio | 1.13 | 1.09 | 1.12 | meets |
| Match win rate | 56.2% | 46.6% | 48.4% | above |
This profile matches the typical Red band player on 3 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Red 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: -40pp win rate · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 92% playstyle similarity
Most alike: opening-duel success, positioning profile.
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 7.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 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 |
|---|---|---|---|---|---|
| S | 55 | 39–16 | 71% | 0.04 | |
| S | 21 | 14–7 | 67% | 0.03 | |
| B | 10 | 5–5 | 50% | 0.02 | |
| A | 5 | 3–2 | 60% | 0.05 | |
| — | 3 | 2–1 | 67% | 0.01 | |
| — | 2 | 2–0 | 100% | 0.07 | |
| — | 2 | 1–1 | 50% | 0.09 | |
| — | 1 | 0–1 | 0% | -0.05 | |
| — | 1 | 1–0 | 100% | 0.11 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (50% 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 3 | 33% | 0.85 | 18.7 |
| Dust2 | 1 | 100% | 1.04 | 24.0 |
| Mirage | 1 | 0% | 1.13 | 17.0 |
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.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–6 | -0.00 | 20% | 29 Aug → | ||
| 2–13 | -0.05 | 21% | 29 Aug → | ||
| 8–13 | 0.01 | 13% | 24 Jun → | ||
| 11–13 | -0.03 | 21% | 2 Jun → | ||
| 12–12 | 0.03 | 26% | 2 Jun → | ||
| 13–7 | 0.04 | 17% | 1 Jun → | ||
| 9–13 | 0.05 | 19% | 1 Jun → | ||
| 13–3 | 0.07 | 36% | 1 Jun → | ||
| 11–13 | -0.02 | 25% | 31 May → | ||
| 13–2 | 0.13 | 12% | 31 May → | ||
| 13–11 | 0.02 | 18% | 30 May → | ||
| 13–6 | 0.15 | 24% | 30 May → | ||
| 13–7 | 0.04 | 13% | 28 May → | ||
| 13–7 | 0.07 | 27% | 28 May → | ||
| 12–12 | -0.08 | 6% | 28 May → | ||
| 13–2 | 0.05 | 22% | 26 May → | ||
| 13–11 | 0.08 | 21% | 23 May → | ||
| 12–12 | -0.03 | 22% | 22 May → | ||
| 13–9 | 0.02 | 17% | 22 May → | ||
| 13–4 | -0.04 | 20% | 21 May → | ||
| 13–11 | 0.04 | 21% | 21 May → | ||
| 13–10 | 0.06 | 37% | 21 May → | ||
| 9–13 | 0.09 | 15% | 21 May → | ||
| 13–4 | -0.00 | 15% | 19 May → | ||
| 12–12 | 0.12 | 21% | 19 May → | ||
| 13–4 | 0.08 | 26% | 19 May → | ||
| 13–2 | -0.01 | 30% | 17 May → | ||
| 12–12 | 0.03 | 22% | 16 May → | ||
| 12–12 | -0.01 | 42% | 16 May → | ||
| 13–11 | 0.05 | 28% | 16 May → | ||
| 13–9 | 0.08 | 19% | 16 May → | ||
| 13–8 | 0.06 | 16% | 15 May → | ||
| 13–5 | 0.04 | 20% | 15 May → | ||
| 13–2 | 0.12 | 36% | 15 May → | ||
| 13–11 | 0.09 | 37% | 15 May → | ||
| 13–5 | 0.05 | 18% | 15 May → | ||
| 13–7 | 0.07 | 38% | 15 May → | ||
| 13–9 | 0.06 | 22% | 13 May → | ||
| 8–1 | 0.09 | 30% | 13 May → | ||
| 13–8 | 0.02 | 19% | 13 May → | ||
| 11–13 | 0.01 | 31% | 13 May → | ||
| 13–6 | 0.04 | 24% | 13 May → | ||
| 2–13 | 0.01 | 6% | 12 May → | ||
| 13–7 | 0.02 | 33% | 12 May → | ||
| 13–6 | -0.02 | 18% | 12 May → | ||
| 13–5 | 0.03 | 20% | 11 May → | ||
| 2–13 | -0.05 | 9% | 11 May → | ||
| 13–6 | 0.06 | 23% | 11 May → | ||
| 13–5 | -0.03 | 18% | 11 May → | ||
| 12–12 | -0.04 | 13% | 10 May → | ||
| 12–12 | -0.03 | 12% | 9 May → | ||
| 5–13 | 0.01 | 20% | 9 May → | ||
| 13–11 | -0.01 | 25% | 9 May → | ||
| 13–4 | 0.04 | 18% | 9 May → | ||
| 13–5 | 0.02 | 27% | 9 May → | ||
| 13–7 | 0.02 | 21% | 9 May → | ||
| 6–11 | 0.09 | 27% | 9 May → | ||
| 13–7 | 0.12 | 25% | 8 May → | ||
| 12–12 | 0.01 | 24% | 7 May → | ||
| 13–4 | 0.14 | 40% | 7 May → | ||
| 9–2 | -0.01 | 53% | 7 May → | ||
| 13–5 | 0.09 | 29% | 7 May → | ||
| 13–3 | 0.06 | 23% | 7 May → | ||
| 13–6 | 0.05 | 24% | 7 May → | ||
| 13–8 | 0.00 | 23% | 7 May → | ||
| 13–10 | 0.02 | 18% | 6 May → | ||
| 13–6 | 0.11 | 16% | 6 May → | ||
| 13–3 | 0.07 | 20% | 6 May → | ||
| 13–11 | 0.01 | 22% | 5 May → | ||
| 13–7 | 0.10 | 19% | 5 May → | ||
| 6–13 | -0.05 | 13% | 5 May → | ||
| 13–4 | 0.15 | 22% | 5 May → | ||
| 13–4 | 0.10 | 8% | 5 May → | ||
| 13–6 | 0.01 | 26% | 5 May → | ||
| 13–8 | 0.05 | 17% | 5 May → | ||
| 12–12 | 0.01 | 17% | 5 May → | ||
| 13–4 | 0.00 | 21% | 5 May → | ||
| 13–4 | 0.04 | 19% | 5 May → | ||
| 13–7 | 0.06 | 19% | 4 May → | ||
| 12–12 | -0.02 | 19% | 4 May → | ||
| 13–3 | -0.04 | 11% | 4 May → | ||
| 4–13 | -0.03 | 21% | 4 May → | ||
| 13–6 | -0.04 | 16% | 4 May → | ||
| 5–13 | 0.02 | 8% | 4 May → | ||
| 12–12 | 0.07 | 24% | 3 May → | ||
| 13–4 | 0.06 | 25% | 3 May → | ||
| 12–12 | 0.07 | 39% | 3 May → | ||
| 10–13 | 0.02 | 19% | 3 May → | ||
| 13–5 | 0.09 | 32% | 3 May → | ||
| 13–6 | 0.11 | 24% | 3 May → | ||
| 13–5 | 0.15 | 26% | 3 May → | ||
| 13–6 | 0.10 | 14% | 3 May → | ||
| 13–1 | 0.04 | 20% | 3 May → | ||
| 13–9 | 0.04 | 20% | 2 May → | ||
| 12–12 | 0.02 | 14% | 2 May → | ||
| 9–13 | 0.00 | 21% | 2 May → | ||
| 13–2 | -0.03 | 36% | 2 May → | ||
| 12–12 | 0.00 | 14% | 2 May → | ||
| 6–13 | -0.03 | 19% | 2 May → | ||
| 12–12 | 0.06 | 20% | 2 May → |
Match data via Leetify.