King Dong — CS2 Stats
76561198006215962[U:1:45950234]
How this compares with the same rank
Median values for Level 5 among CSDB-tracked players (n=918), 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 5 median | Level 6 median | vs Level 6 |
|---|---|---|---|---|
| Headshot rate | 40.7% | 44.2% | 44.9% | 4.2% short |
| Shot accuracy | 15.8% | 11.2% | 11.8% | above |
| Kill/death ratio | 1.12 | 1.04 | 1.04 | above |
| Match win rate | 45.0% | 45.3% | 45.3% | meets |
This profile matches the typical Level 6 player on 3 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 6 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: +0pp 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 donk 90% 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 6.2/10 (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 | 25 | 14–11 | 56% | 0.01 | |
| B | 15 | 8–7 | 53% | 0.02 | |
| D | 14 | 3–11 | 21% | -0.00 | |
| C | 13 | 5–8 | 38% | -0.03 | |
| B | 10 | 5–5 | 50% | -0.00 | |
| A | 9 | 5–4 | 56% | 0.01 | |
| S | 8 | 6–2 | 75% | 0.01 | |
| — | 4 | 2–2 | 50% | -0.00 | |
| office | — | 1 | 0–1 | 0% | 0.04 |
| — | 1 | 1–0 | 100% | 0.07 |
Across the last 100 tracked matches.
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 resultsLWLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 8 | 25% | 0.99 | 14.5 |
| Nuke | 8 | 50% | 1.01 | 15.0 |
| Mirage | 8 | 62% | 1.00 | 17.3 |
| Anubis | 7 | 86% | 1.31 | 15.6 |
| Ancient | 6 | 67% | 1.32 | 14.5 |
| Vertigo | 4 | 50% | 0.86 | 14.5 |
| Dust2 | 1 | 0% | 1.07 | 15.0 |
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.
- 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 14.8597% — 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.
21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | -0.00 | 14% | 29 Aug → | ||
| 13–8 | 0.07 | 15% | 29 Aug → | ||
| office | 11–13 | 0.04 | 26% | 26 Aug → | |
| 13–9 | 0.07 | 9% | 25 Aug → | ||
| 13–4 | 0.08 | 7% | 25 Aug → | ||
| 10–13 | -0.04 | 21% | 25 Aug → | ||
| 9–13 | -0.06 | 21% | 23 Aug → | ||
| 15–15 | -0.01 | 19% | 22 Aug → | ||
| 13–11 | 0.04 | 11% | 22 Aug → | ||
| 13–10 | 0.01 | 16% | 21 Aug → | ||
| 5–13 | -0.05 | 7% | 21 Aug → | ||
| 13–5 | 0.06 | 10% | 18 Aug → | ||
| 13–10 | 0.03 | 16% | 16 Aug → | ||
| 13–7 | 0.07 | 12% | 16 Aug → | ||
| 14–16 | -0.04 | 21% | 16 Aug → | ||
| 13–10 | -0.02 | 7% | 15 Aug → | ||
| 13–5 | 0.09 | 15% | 15 Aug → | ||
| 7–13 | 0.02 | 14% | 14 Aug → | ||
| 16–12 | -0.04 | 16% | 13 Aug → | ||
| 10–13 | -0.01 | 14% | 13 Aug → | ||
| 8–13 | 0.04 | 8% | 9 Aug → | ||
| 15–15 | 0.06 | 15% | 7 Aug → | ||
| 12–16 | -0.07 | 8% | 25 Jul → | ||
| 13–3 | 0.04 | 10% | 24 Jul → | ||
| 5–13 | -0.07 | 18% | 24 Jul → | ||
| 1–5 | -0.04 | 19% | 24 Jul → | ||
| 2–13 | -0.01 | 24% | 23 Jul → | ||
| 8–13 | 0.01 | 20% | 23 Jul → | ||
| 6–11 | -0.09 | 6% | 23 Jul → | ||
| 10–13 | -0.00 | 21% | 22 Jul → | ||
| 2–13 | -0.02 | 13% | 22 Jul → | ||
| 7–13 | 0.02 | 22% | 21 Jul → | ||
| 16–13 | 0.04 | 15% | 21 Jul → | ||
| 13–11 | 0.01 | 9% | 20 Jul → | ||
| 9–13 | 0.02 | 16% | 9 Jul → | ||
| 3–13 | -0.06 | 12% | 7 Jul → | ||
| 13–7 | 0.03 | 34% | 2 Jul → | ||
| 11–13 | -0.03 | 18% | 1 Jul → | ||
| 16–12 | 0.04 | 11% | 29 Jun → | ||
| 13–7 | -0.00 | 12% | 29 Jun → | ||
| 6–13 | 0.03 | 7% | 29 Jun → | ||
| 13–10 | 0.02 | 18% | 28 Jun → | ||
| 13–9 | -0.04 | 15% | 26 Jun → | ||
| 10–13 | -0.02 | 18% | 26 Jun → | ||
| 10–13 | -0.01 | 15% | 26 Jun → | ||
| 2–13 | -0.08 | 19% | 26 Jun → | ||
| 13–10 | 0.05 | 17% | 22 Jun → | ||
| 12–12 | -0.00 | 26% | 21 Jun → | ||
| 9–13 | -0.01 | 18% | 21 Jun → | ||
| 6–13 | -0.10 | 11% | 21 Jun → | ||
| 6–13 | -0.05 | 7% | 20 Jun → | ||
| 15–15 | -0.00 | 13% | 19 Jun → | ||
| 16–14 | -0.01 | 15% | 18 Jun → | ||
| 6–12 | 0.04 | 15% | 18 Jun → | ||
| 13–9 | 0.02 | 14% | 16 Jun → | ||
| 13–8 | 0.04 | 11% | 15 Jun → | ||
| 13–9 | 0.02 | 6% | 15 Jun → | ||
| 13–6 | -0.03 | 16% | 15 Jun → | ||
| 9–13 | -0.01 | 12% | 14 Jun → | ||
| 2–3 | -0.04 | 18% | 14 Jun → | ||
| 12–13 | 0.02 | 9% | 14 Jun → | ||
| 13–3 | -0.01 | 10% | 14 Jun → | ||
| 13–10 | 0.01 | 16% | 14 Jun → | ||
| 13–11 | 0.04 | 20% | 14 Jun → | ||
| 16–13 | 0.03 | 17% | 12 Jun → | ||
| 10–13 | 0.06 | 17% | 29 May → | ||
| 7–13 | 0.08 | 27% | 29 May → | ||
| 13–6 | -0.05 | 30% | 25 May → | ||
| 11–13 | 0.02 | 23% | 22 May → | ||
| 1–13 | -0.10 | 5% | 22 May → | ||
| 13–8 | 0.06 | 11% | 20 May → | ||
| 13–16 | 0.01 | 12% | 19 May → | ||
| 12–12 | 0.07 | 18% | 19 May → | ||
| 13–8 | 0.00 | 17% | 15 May → | ||
| 11–13 | -0.04 | 16% | 3 May → | ||
| 8–13 | -0.02 | 12% | 1 May → | ||
| 13–9 | 0.01 | 20% | 26 Apr → | ||
| 13–16 | 0.04 | 23% | 26 Apr → | ||
| 13–9 | 0.07 | 26% | 24 Apr → | ||
| 2–13 | -0.05 | 16% | 24 Apr → | ||
| 13–7 | -0.02 | 14% | 20 Apr → | ||
| 9–13 | -0.01 | 16% | 19 Apr → | ||
| 6–13 | -0.01 | 27% | 18 Apr → | ||
| 13–7 | -0.00 | 17% | 18 Apr → | ||
| 13–7 | 0.07 | 22% | 17 Apr → | ||
| 13–8 | 0.01 | 20% | 17 Apr → | ||
| 16–14 | -0.00 | 18% | 17 Apr → | ||
| 13–6 | 0.07 | 17% | 14 Apr → | ||
| 10–13 | -0.04 | 8% | 11 Apr → | ||
| 4–13 | 0.02 | 21% | 11 Apr → | ||
| 9–2 | -0.02 | 4% | 10 Apr → | ||
| 13–10 | -0.03 | 22% | 28 Mar → | ||
| 13–10 | 0.05 | 22% | 28 Mar → | ||
| 13–8 | 0.00 | 14% | 18 Feb → | ||
| 13–11 | -0.01 | 19% | 17 Feb → | ||
| 13–9 | 0.02 | 15% | 15 Feb → | ||
| 16–12 | 0.00 | 21% | 15 Feb → | ||
| 13–11 | 0.00 | 15% | 14 Feb → | ||
| 15–15 | -0.01 | 13% | 13 Feb → | ||
| 1–13 | -0.05 | 4% | 13 Feb → |
Match data via Leetify.