Buckshot — CS2 Stats
SE76561198083134622[U:1:122868894]Steam profile ↗
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 | 37.7% | 42.1% | 42.1% | 4.4% short |
| Shot accuracy | 16.8% | 12.9% | 12.1% | above |
| Kill/death ratio | 0.89 | 1.00 | 0.99 | 0.10 short |
| Match win rate | 31.8% | 42.9% | 43.9% | 12.1% short |
This profile matches the typical Level 3 player on 1 of 4 comparable metrics.
Widest gap: Match win 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 · -0.05 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 b1t 79% playstyle similarity
Most alike: opening-duel success, 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. 624ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 67% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 3.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 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 |
|---|---|---|---|---|---|
| B | 29 | 14–15 | 48% | -0.04 | |
| B | 19 | 10–9 | 53% | -0.05 | |
| A | 12 | 7–5 | 58% | -0.04 | |
| A | 12 | 7–5 | 58% | -0.04 | |
| D | 9 | 3–6 | 33% | -0.00 | |
| C | 9 | 4–5 | 44% | -0.05 | |
| D | 5 | 0–5 | 0% | -0.04 | |
| — | 4 | 2–2 | 50% | -0.05 | |
| — | 1 | 0–1 | 0% | 0.00 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Overpass 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 resultsWWLLW
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 13.331% — below the 15% mark we flag
- 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 0.4363 — 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.
0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–8 | -0.02 | 16% | 21 Aug → | ||
| 13–3 | -0.03 | 3% | 21 Aug → | ||
| 11–13 | -0.08 | 20% | 31 Jul → | ||
| 10–13 | -0.07 | 11% | 31 Jul → | ||
| 8–13 | -0.04 | 17% | 31 Jul → | ||
| 6–13 | -0.02 | 13% | 31 Jul → | ||
| 12–12 | -0.07 | 20% | 16 Jun → | ||
| 13–11 | -0.03 | 11% | 31 May → | ||
| 7–13 | -0.02 | 14% | 31 May → | ||
| 5–13 | 0.03 | 9% | 31 May → | ||
| 10–13 | -0.07 | 8% | 22 May → | ||
| 13–6 | 0.07 | 13% | 16 May → | ||
| 13–10 | -0.01 | 2% | 15 May → | ||
| 13–1 | 0.18 | 0% | 15 May → | ||
| 13–8 | -0.06 | 4% | 14 May → | ||
| 13–4 | 0.00 | 16% | 14 May → | ||
| 9–13 | -0.04 | 5% | 11 May → | ||
| 10–13 | -0.01 | 16% | 10 May → | ||
| 10–13 | 0.01 | 14% | 10 May → | ||
| 13–11 | 0.05 | 12% | 10 May → | ||
| 13–7 | 0.10 | 9% | 9 May → | ||
| 6–13 | -0.01 | 13% | 9 May → | ||
| 10–13 | 0.01 | 11% | 9 May → | ||
| 13–7 | 0.01 | 15% | 9 May → | ||
| 8–13 | -0.06 | 25% | 7 May → | ||
| 13–7 | 0.01 | 26% | 4 May → | ||
| 12–12 | -0.08 | 20% | 2 May → | ||
| 12–12 | -0.07 | 17% | 2 May → | ||
| 13–5 | -0.05 | 24% | 2 May → | ||
| 13–7 | 0.01 | 11% | 2 May → | ||
| 13–8 | -0.03 | 17% | 2 May → | ||
| 13–8 | -0.03 | 8% | 30 Apr → | ||
| 6–13 | -0.02 | 12% | 30 Apr → | ||
| 2–13 | -0.10 | 21% | 29 Apr → | ||
| 8–13 | -0.08 | 13% | 29 Apr → | ||
| 1–13 | -0.09 | 23% | 27 Apr → | ||
| 5–13 | -0.11 | 13% | 27 Apr → | ||
| 12–12 | -0.05 | 11% | 22 Apr → | ||
| 13–11 | -0.05 | 22% | 22 Apr → | ||
| 13–8 | -0.04 | 6% | 19 Apr → | ||
| 3–13 | -0.09 | 17% | 15 Apr → | ||
| 13–9 | -0.10 | 8% | 15 Apr → | ||
| 8–8 | 0.00 | 16% | 15 Apr → | ||
| 7–9 | -0.01 | 14% | 15 Apr → | ||
| 9–13 | -0.08 | 8% | 9 Apr → | ||
| 2–13 | -0.09 | 8% | 9 Apr → | ||
| 12–12 | -0.09 | 14% | 30 Mar → | ||
| 8–13 | -0.09 | 17% | 30 Mar → | ||
| 12–12 | -0.05 | 13% | 30 Mar → | ||
| 13–8 | -0.05 | 26% | 30 Mar → | ||
| 13–9 | -0.05 | 33% | 30 Mar → | ||
| 13–7 | -0.09 | 13% | 25 Mar → | ||
| 13–6 | -0.07 | 11% | 25 Mar → | ||
| 13–6 | 0.00 | 14% | 19 Mar → | ||
| 13–11 | 0.01 | 21% | 16 Mar → | ||
| 13–11 | -0.03 | 16% | 14 Mar → | ||
| 6–13 | -0.07 | 0% | 14 Mar → | ||
| 13–5 | -0.06 | 10% | 14 Mar → | ||
| 13–9 | -0.04 | 12% | 14 Mar → | ||
| 9–13 | -0.08 | 6% | 12 Mar → | ||
| 9–13 | -0.01 | 20% | 12 Mar → | ||
| 7–13 | 0.02 | 29% | 12 Mar → | ||
| 5–13 | -0.08 | 10% | 12 Mar → | ||
| 6–13 | -0.06 | 9% | 12 Mar → | ||
| 7–13 | -0.08 | 12% | 12 Mar → | ||
| 12–12 | -0.05 | 19% | 10 Mar → | ||
| 13–9 | -0.03 | 24% | 10 Mar → | ||
| 13–7 | -0.03 | 27% | 10 Mar → | ||
| 13–10 | 0.02 | 15% | 6 Mar → | ||
| 8–13 | -0.08 | 3% | 6 Mar → | ||
| 13–9 | -0.00 | 15% | 6 Mar → | ||
| 13–4 | 0.03 | 8% | 6 Mar → | ||
| 5–13 | -0.01 | 13% | 2 Mar → | ||
| 13–11 | -0.07 | 5% | 2 Mar → | ||
| 10–13 | 0.04 | 30% | 2 Mar → | ||
| 13–9 | -0.03 | 14% | 28 Feb → | ||
| 13–7 | -0.03 | 14% | 28 Feb → | ||
| 10–13 | -0.12 | 15% | 27 Feb → | ||
| 13–9 | -0.06 | 18% | 27 Feb → | ||
| 8–13 | -0.07 | 21% | 27 Feb → | ||
| 13–2 | -0.13 | 20% | 25 Feb → | ||
| 11–13 | 0.01 | 21% | 23 Feb → | ||
| 13–8 | -0.02 | 8% | 23 Feb → | ||
| 6–13 | -0.02 | 21% | 23 Feb → | ||
| 10–13 | -0.08 | 8% | 21 Feb → | ||
| 13–7 | -0.03 | 32% | 21 Feb → | ||
| 6–13 | -0.05 | 7% | 21 Feb → | ||
| 13–6 | -0.06 | 0% | 19 Feb → | ||
| 12–12 | -0.06 | 6% | 19 Feb → | ||
| 13–8 | -0.07 | 8% | 19 Feb → | ||
| 13–10 | -0.06 | 9% | 18 Feb → | ||
| 10–13 | -0.02 | 16% | 18 Feb → | ||
| 13–7 | -0.02 | 26% | 16 Feb → | ||
| 4–13 | -0.15 | 13% | 16 Feb → | ||
| 12–12 | -0.02 | 23% | 16 Feb → | ||
| 11–13 | -0.05 | 28% | 16 Feb → | ||
| 13–4 | -0.01 | 6% | 16 Feb → | ||
| 13–10 | 0.00 | 9% | 15 Feb → | ||
| 12–12 | -0.03 | 13% | 15 Feb → | ||
| 13–9 | 0.02 | 10% | 14 Feb → |
Match data via Leetify.