-toby-dk — CS2 Stats
DK76561198144687938[U:1:184422210]Steam profile ↗
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), 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 10 median |
|---|---|---|
| Headshot rate | 55.1% | 52.8% |
| Shot accuracy | 14.2% | 13.7% |
| Kill/death ratio | 1.03 | 1.08 |
| Match win rate | 43.1% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +40pp win rate · +0.05 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimerStrong CT-side opener
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 s1mple 90% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: 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
Strengths
Aim. Aim score of 89 — the mechanical foundation is a clear strength.
CT openings. 70% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 70% on CT to 42% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 564ms 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 7.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×0.95 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 | 28 | 17–11 | 61% | 0.02 | |
| A | 20 | 12–8 | 60% | 0.02 | |
| A | 16 | 10–6 | 63% | 0.04 | |
| C | 10 | 4–6 | 40% | 0.04 | |
| D | 9 | 2–7 | 22% | 0.00 | |
| C | 9 | 4–5 | 44% | 0.02 | |
| — | 3 | 0–3 | 0% | 0.01 | |
| — | 3 | 1–2 | 33% | 0.00 | |
| — | 2 | 0–2 | 0% | 0.01 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (22% over 9). 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 resultsLWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 124 | 51% | 1.27 | 20.2 |
| Nuke | 88 | 61% | 1.42 | 20.0 |
| Anubis | 75 | 57% | 1.24 | 19.6 |
| Inferno | 57 | 44% | 1.16 | 18.7 |
| Ancient | 53 | 45% | 1.10 | 19.1 |
| Vertigo | 48 | 54% | 1.25 | 18.8 |
| Overpass | 45 | 62% | 1.45 | 20.6 |
| Dust2 | 23 | 26% | 1.09 | 18.0 |
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.
- 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 0.4821 — 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.
22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 4–13 | 0.04 | 40% | 26 Jul → | ||
| 9–7 | 0.15 | 46% | 26 Jul → | ||
| 13–8 | 0.05 | 22% | 29 Jun → | ||
| 7–13 | -0.07 | 30% | 29 Jun → | ||
| 13–10 | 0.08 | 18% | 29 Jun → | ||
| 13–4 | 0.03 | 24% | 29 Jun → | ||
| 13–6 | 0.06 | 28% | 29 Jun → | ||
| 13–10 | 0.09 | 29% | 28 Jun → | ||
| 13–8 | 0.05 | 28% | 27 Jun → | ||
| 13–7 | 0.10 | 22% | 26 Jun → | ||
| 13–10 | 0.04 | 31% | 23 Jun → | ||
| 13–10 | 0.03 | 25% | 23 Jun → | ||
| 13–8 | 0.12 | 31% | 23 Jun → | ||
| 6–13 | -0.03 | 24% | 20 Jun → | ||
| 12–12 | 0.05 | 41% | 20 Jun → | ||
| 2–13 | -0.04 | 32% | 20 Jun → | ||
| 7–13 | 0.00 | 43% | 17 Jun → | ||
| 8–13 | -0.04 | 36% | 17 Jun → | ||
| 13–16 | 0.00 | 38% | 2 Jun → | ||
| 13–9 | -0.04 | 28% | 2 Jun → | ||
| 13–11 | -0.03 | 23% | 28 May → | ||
| 9–13 | -0.01 | 27% | 28 May → | ||
| 11–13 | -0.04 | 24% | 27 May → | ||
| 13–11 | 0.07 | 19% | 27 May → | ||
| 13–7 | -0.02 | 23% | 24 May → | ||
| 13–3 | 0.06 | 27% | 24 May → | ||
| 13–11 | 0.03 | 45% | 12 May → | ||
| 13–10 | -0.08 | 47% | 12 May → | ||
| 13–7 | 0.05 | 39% | 12 May → | ||
| 13–11 | 0.00 | 24% | 12 May → | ||
| 10–13 | -0.01 | 20% | 11 May → | ||
| 13–6 | -0.03 | 32% | 11 May → | ||
| 13–10 | -0.03 | 33% | 11 May → | ||
| 16–14 | -0.01 | 19% | 11 May → | ||
| 5–13 | 0.06 | 30% | 11 May → | ||
| 13–6 | 0.08 | 26% | 7 May → | ||
| 8–13 | 0.02 | 25% | 7 May → | ||
| 13–5 | 0.10 | 30% | 7 May → | ||
| 16–12 | -0.05 | 25% | 6 May → | ||
| 3–13 | 0.06 | 16% | 6 May → | ||
| 13–9 | 0.12 | 26% | 6 May → | ||
| 11–13 | 0.01 | 24% | 6 May → | ||
| 7–13 | 0.05 | 24% | 6 May → | ||
| 13–7 | 0.06 | 28% | 6 May → | ||
| 13–5 | 0.07 | 30% | 3 May → | ||
| 13–7 | 0.08 | 25% | 3 May → | ||
| 13–11 | 0.04 | 22% | 3 May → | ||
| 13–1 | 0.08 | 25% | 3 May → | ||
| 8–13 | 0.06 | 38% | 29 Apr → | ||
| 9–13 | -0.03 | 32% | 28 Apr → | ||
| 11–13 | 0.04 | 26% | 28 Apr → | ||
| 7–13 | -0.03 | 16% | 28 Apr → | ||
| 13–10 | 0.05 | 37% | 21 Apr → | ||
| 7–13 | 0.00 | 29% | 16 Apr → | ||
| 8–13 | 0.08 | 43% | 7 Apr → | ||
| 13–8 | 0.11 | 26% | 30 Mar → | ||
| 9–13 | 0.07 | 34% | 25 Mar → | ||
| 13–8 | 0.02 | 37% | 15 Mar → | ||
| 13–11 | 0.07 | 22% | 10 Mar → | ||
| 8–13 | 0.01 | 26% | 1 Mar → | ||
| 16–12 | 0.05 | 22% | 1 Mar → | ||
| 6–13 | -0.01 | 31% | 8 Feb → | ||
| 13–11 | 0.05 | 25% | 8 Feb → | ||
| 7–13 | -0.06 | 30% | 8 Feb → | ||
| 16–13 | -0.03 | 19% | 11 Jan → | ||
| 10–13 | 0.01 | 30% | 11 Jan → | ||
| 12–12 | 0.02 | 35% | 27 Dec → | ||
| 10–13 | 0.00 | 38% | 26 Dec → | ||
| 13–8 | 0.08 | 29% | 6 Dec → | ||
| 3–13 | -0.02 | 32% | 30 Nov → | ||
| 6–13 | 0.02 | 14% | 29 Nov → | ||
| 13–11 | 0.03 | 32% | 29 Nov → | ||
| 12–12 | 0.04 | 24% | 23 Nov → | ||
| 1–6 | -0.04 | 58% | 23 Nov → | ||
| 2–9 | -0.16 | 25% | 23 Nov → | ||
| 13–11 | 0.05 | 30% | 22 Nov → | ||
| 5–13 | -0.04 | 18% | 21 Nov → | ||
| 13–16 | 0.02 | 35% | 21 Nov → | ||
| 7–13 | 0.05 | 36% | 20 Nov → | ||
| 4–13 | -0.04 | 45% | 20 Nov → | ||
| 8–13 | 0.03 | 30% | 20 Nov → | ||
| 13–10 | 0.05 | 31% | 15 Nov → | ||
| 11–13 | 0.06 | 28% | 14 Nov → | ||
| 6–13 | 0.14 | 24% | 14 Nov → | ||
| 13–10 | 0.05 | 44% | 14 Nov → | ||
| 7–13 | -0.07 | 32% | 14 Nov → | ||
| 13–11 | 0.12 | 26% | 14 Nov → | ||
| 11–13 | -0.01 | 25% | 14 Nov → | ||
| 4–13 | 0.00 | 21% | 14 Nov → | ||
| 13–8 | -0.01 | 39% | 14 Nov → | ||
| 4–13 | 0.06 | 18% | 10 Nov → | ||
| 16–14 | 0.02 | 30% | 10 Nov → | ||
| 13–3 | 0.02 | 30% | 8 Nov → | ||
| 15–15 | -0.03 | 21% | 8 Nov → | ||
| 13–7 | 0.05 | 29% | 3 Nov → | ||
| 8–13 | -0.02 | 25% | 3 Nov → | ||
| 13–9 | 0.06 | 32% | 3 Nov → | ||
| 2–13 | -0.01 | 25% | 26 Oct → | ||
| 12–12 | -0.04 | 24% | 26 Oct → | ||
| 4–13 | -0.02 | 15% | 25 Oct → |
Match data via Leetify.
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