dawn — CS2 Stats
76561198058635675[U:1:98369947]
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 | 62.1% | 52.8% |
| Shot accuracy | 12.6% | 13.7% |
| Kill/death ratio | 0.76 | 1.08 |
| Match win rate | 48.4% | 49.2% |
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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.
Strong 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 ropz 91% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
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 →
Strengths & areas to improve
Areas to improve
T-side openings. Opening success drops from 54% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 615ms 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 6.3/10 (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 |
|---|---|---|---|---|---|
| C | 21 | 8–13 | 38% | 0.01 | |
| A | 17 | 10–7 | 59% | 0.03 | |
| S | 16 | 13–3 | 81% | 0.01 | |
| S | 12 | 8–4 | 67% | 0.03 | |
| S | 9 | 7–2 | 78% | 0.04 | |
| S | 5 | 4–1 | 80% | 0.03 | |
| C | 5 | 2–3 | 40% | -0.01 | |
| — | 4 | 2–2 | 50% | 0.03 | |
| warden | — | 3 | 1–2 | 33% | 0.07 |
| — | 2 | 2–0 | 100% | 0.09 | |
| stronghold | — | 2 | 1–1 | 50% | 0.02 |
| — | 1 | 0–1 | 0% | -0.11 | |
| alpine | — | 1 | 0–1 | 0% | -0.05 |
| poseidon | — | 1 | 0–1 | 0% | -0.03 |
| golden | — | 1 | 1–0 | 100% | 0.05 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (38% over 21). Start with the 6 essential Mirage 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 | 76 | 41% | 1.12 | 15.8 |
| Anubis | 55 | 51% | 1.22 | 16.9 |
| Vertigo | 54 | 59% | 1.19 | 16.9 |
| Ancient | 51 | 59% | 1.24 | 16.7 |
| Inferno | 48 | 42% | 1.15 | 16.0 |
| Dust2 | 47 | 55% | 1.06 | 15.7 |
| Nuke | 45 | 62% | 1.12 | 16.7 |
| Overpass | 4 | 75% | 1.14 | 16.5 |
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.
- Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 34.319% — below the 40% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
38% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 5–13 | -0.01 | 32% | 5 Aug → | ||
| 10–13 | -0.11 | 31% | 5 Aug → | ||
| 13–10 | 0.08 | 28% | 15 Jul → | ||
| 13–11 | 0.06 | 33% | 15 Jul → | ||
| 13–9 | 0.03 | 14% | 1 Jun → | ||
| 13–7 | 0.05 | 22% | 13 Apr → | ||
| 0–7 | -0.07 | 14% | 8 Apr → | ||
| 15–15 | 0.00 | 28% | 3 Apr → | ||
| 13–4 | 0.12 | 27% | 3 Apr → | ||
| 13–11 | 0.06 | 25% | 3 Apr → | ||
| 10–13 | 0.00 | 31% | 27 Mar → | ||
| 9–3 | 0.08 | 25% | 26 Mar → | ||
| warden | 3–6 | 0.04 | 25% | 26 Mar → | |
| 9–2 | 0.11 | 20% | 25 Mar → | ||
| 9–7 | 0.01 | 19% | 25 Mar → | ||
| 12–16 | 0.00 | 30% | 24 Mar → | ||
| 11–13 | -0.02 | 21% | 22 Mar → | ||
| 13–6 | 0.04 | 22% | 21 Mar → | ||
| 13–6 | 0.06 | 20% | 21 Mar → | ||
| 13–9 | 0.01 | 26% | 20 Mar → | ||
| alpine | 5–7 | -0.05 | 8% | 19 Mar → | |
| poseidon | 8–8 | -0.03 | 32% | 19 Mar → | |
| 16–14 | -0.02 | 25% | 15 Mar → | ||
| 13–8 | 0.01 | 30% | 13 Mar → | ||
| 13–5 | 0.01 | 31% | 2 Mar → | ||
| warden | 13–2 | 0.13 | 23% | 2 Mar → | |
| 10–13 | 0.02 | 17% | 1 Mar → | ||
| 7–13 | -0.04 | 33% | 1 Mar → | ||
| 15–15 | 0.02 | 20% | 27 Feb → | ||
| 16–13 | -0.05 | 22% | 27 Feb → | ||
| 16–13 | 0.03 | 28% | 26 Feb → | ||
| 7–13 | 0.01 | 38% | 26 Feb → | ||
| 13–10 | 0.05 | 28% | 26 Feb → | ||
| 13–6 | 0.10 | 28% | 22 Feb → | ||
| 11–13 | 0.04 | 30% | 21 Feb → | ||
| 13–6 | 0.11 | 38% | 21 Feb → | ||
| stronghold | 13–8 | 0.10 | 26% | 21 Feb → | |
| warden | 7–13 | 0.04 | 36% | 16 Feb → | |
| stronghold | 1–9 | -0.05 | 18% | 16 Feb → | |
| 13–8 | 0.17 | 35% | 21 Jan → | ||
| 13–1 | 0.10 | 20% | 21 Jan → | ||
| 8–13 | 0.10 | 25% | 15 Dec → | ||
| 15–15 | 0.00 | 28% | 7 Dec → | ||
| 13–9 | 0.03 | 33% | 6 Dec → | ||
| 13–7 | 0.11 | 23% | 6 Dec → | ||
| 13–4 | 0.03 | 41% | 6 Dec → | ||
| 13–8 | 0.03 | 15% | 6 Dec → | ||
| 14–16 | 0.00 | 21% | 3 Dec → | ||
| 1–13 | -0.03 | 14% | 1 Dec → | ||
| 5–13 | 0.01 | 20% | 1 Dec → | ||
| 10–13 | 0.02 | 22% | 29 Nov → | ||
| 13–6 | -0.00 | 24% | 3 Nov → | ||
| 11–13 | -0.03 | 26% | 3 Nov → | ||
| 8–13 | 0.02 | 16% | 2 Nov → | ||
| 10–13 | 0.02 | 44% | 2 Nov → | ||
| 9–13 | 0.06 | 22% | 2 Nov → | ||
| 13–5 | 0.09 | 22% | 1 Nov → | ||
| 15–15 | 0.05 | 15% | 1 Nov → | ||
| 13–2 | 0.04 | 38% | 1 Nov → | ||
| 13–11 | 0.02 | 21% | 1 Nov → | ||
| 13–10 | 0.04 | 25% | 31 Oct → | ||
| 13–10 | 0.04 | 26% | 31 Oct → | ||
| 13–11 | 0.08 | 22% | 31 Oct → | ||
| 13–9 | -0.03 | 32% | 31 Oct → | ||
| 6–13 | -0.04 | 15% | 31 Oct → | ||
| 10–13 | -0.01 | 36% | 31 Oct → | ||
| 15–15 | -0.00 | 19% | 30 Oct → | ||
| 13–5 | -0.03 | 15% | 23 Oct → | ||
| 13–6 | -0.01 | 25% | 21 Oct → | ||
| 13–4 | -0.02 | 20% | 21 Oct → | ||
| 16–14 | 0.03 | 29% | 21 Oct → | ||
| 6–13 | 0.05 | 41% | 20 Oct → | ||
| 13–9 | 0.08 | 30% | 20 Oct → | ||
| 13–6 | -0.05 | 18% | 20 Oct → | ||
| 13–5 | -0.01 | 32% | 20 Oct → | ||
| 13–9 | -0.01 | 25% | 19 Oct → | ||
| 16–12 | 0.03 | 30% | 15 Oct → | ||
| 13–9 | -0.01 | 31% | 15 Oct → | ||
| 13–5 | 0.06 | 31% | 15 Oct → | ||
| 13–9 | 0.04 | 31% | 9 Oct → | ||
| 8–13 | 0.01 | 26% | 9 Oct → | ||
| 13–4 | -0.05 | 17% | 9 Oct → | ||
| 10–13 | 0.00 | 33% | 7 Oct → | ||
| 10–13 | 0.01 | 19% | 7 Oct → | ||
| 13–7 | 0.07 | 20% | 2 Oct → | ||
| 10–13 | -0.05 | 20% | 2 Oct → | ||
| golden | 13–10 | 0.05 | 41% | 2 Oct → | |
| 8–13 | -0.01 | 48% | 30 Sept → | ||
| 12–16 | 0.04 | 26% | 29 Sept → | ||
| 16–14 | -0.02 | 25% | 18 Sept → | ||
| 13–6 | 0.01 | 20% | 5 Sept → | ||
| 13–11 | 0.07 | 18% | 22 Aug → | ||
| 13–10 | 0.02 | 20% | 20 Aug → | ||
| 9–13 | 0.04 | 15% | 19 Aug → | ||
| 16–14 | -0.04 | 22% | 19 Aug → | ||
| 13–11 | 0.03 | 29% | 19 Aug → | ||
| 13–8 | -0.00 | 22% | 19 Aug → | ||
| 13–6 | 0.06 | 25% | 18 Aug → | ||
| 14–16 | 0.02 | 34% | 18 Aug → | ||
| 8–13 | -0.02 | 18% | 18 Aug → |
Match data via Leetify.