aRon — CS2 Stats
76561198114462530[U:1:154196802]
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=3,007), 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 | 43.0% | 52.0% |
| Shot accuracy | 19.0% | 13.7% |
| Kill/death ratio | 1.67 | 1.08 |
| Match win rate | 45.8% | 48.8% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.05 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimerEffective flashes
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, positioning profile.
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 94 — the mechanical foundation is a clear strength.
CT openings. 65% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Flashes. 0.79 enemies blinded per flash — utility that consistently lands.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
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 7.7/10 (Strong), 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 |
|---|---|---|---|---|---|
| S | 41 | 27–14 | 66% | 0.04 | |
| B | 21 | 11–10 | 52% | 0.05 | |
| C | 14 | 5–9 | 36% | 0.03 | |
| A | 8 | 5–3 | 63% | 0.01 | |
| S | 6 | 4–2 | 67% | 0.11 | |
| — | 3 | 2–1 | 67% | 0.03 | |
| — | 3 | 0–3 | 0% | -0.04 | |
| — | 2 | 2–0 | 100% | 0.02 | |
| — | 2 | 0–2 | 0% | -0.09 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Ancient 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 resultsLWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 476 | 62% | 1.56 | 18.7 |
| Anubis | 165 | 57% | 1.43 | 17.6 |
| Dust2 | 156 | 63% | 1.73 | 18.9 |
| Ancient | 115 | 60% | 1.38 | 17.7 |
| Nuke | 42 | 52% | 1.22 | 16.1 |
| Vertigo | 41 | 46% | 1.13 | 17.0 |
| Inferno | 35 | 57% | 1.43 | 18.0 |
| Overpass | 32 | 59% | 1.16 | 16.9 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 3–13 | -0.01 | 15% | 1 Aug → | ||
| 11–13 | -0.01 | 27% | 1 Aug → | ||
| 19–16 | 0.05 | 26% | 1 Aug → | ||
| 13–8 | 0.12 | 27% | 1 Aug → | ||
| 8–13 | 0.06 | 12% | 1 Aug → | ||
| 7–13 | 0.03 | 25% | 1 Aug → | ||
| 5–13 | -0.04 | 29% | 1 Aug → | ||
| 13–3 | -0.01 | 25% | 27 Jul → | ||
| 8–13 | 0.01 | 31% | 30 May → | ||
| 13–4 | 0.18 | 46% | 24 May → | ||
| 13–7 | -0.04 | 27% | 18 May → | ||
| 8–13 | -0.00 | 32% | 12 May → | ||
| 13–8 | 0.13 | 39% | 24 Nov → | ||
| 8–13 | 0.11 | 38% | 28 Aug → | ||
| 13–6 | 0.05 | 28% | 1 Aug → | ||
| 9–13 | 0.20 | 31% | 24 Jul → | ||
| 13–4 | 0.19 | 32% | 25 Jun → | ||
| 13–9 | 0.09 | 21% | 12 Jun → | ||
| 10–13 | 0.09 | 16% | 29 May → | ||
| 13–7 | 0.09 | 11% | 29 May → | ||
| 0–1 | -0.09 | 0% | 28 Apr → | ||
| 13–2 | 0.12 | 11% | 28 Apr → | ||
| 16–14 | 0.08 | 17% | 26 Apr → | ||
| 6–13 | -0.06 | 19% | 26 Apr → | ||
| 13–10 | 0.02 | 16% | 25 Apr → | ||
| 16–12 | 0.10 | 23% | 25 Apr → | ||
| 16–13 | 0.07 | 32% | 25 Apr → | ||
| 13–3 | 0.07 | 28% | 25 Apr → | ||
| 13–6 | 0.13 | 18% | 23 Apr → | ||
| 13–10 | 0.05 | 24% | 23 Apr → | ||
| 13–3 | 0.04 | 40% | 20 Apr → | ||
| 13–8 | 0.08 | 19% | 20 Apr → | ||
| 9–13 | 0.06 | 28% | 20 Apr → | ||
| 13–2 | 0.10 | 20% | 18 Apr → | ||
| 13–11 | -0.00 | 27% | 18 Apr → | ||
| 11–13 | 0.01 | 22% | 18 Apr → | ||
| 9–13 | 0.02 | 17% | 18 Apr → | ||
| 16–14 | 0.05 | 23% | 17 Apr → | ||
| 12–16 | 0.00 | 36% | 16 Apr → | ||
| 10–13 | -0.06 | 37% | 15 Apr → | ||
| 13–9 | -0.00 | 33% | 14 Apr → | ||
| 9–13 | -0.00 | 36% | 14 Apr → | ||
| 13–2 | 0.18 | 28% | 13 Apr → | ||
| 13–1 | -0.01 | 100% | 13 Apr → | ||
| 13–10 | 0.02 | 23% | 13 Apr → | ||
| 13–9 | 0.05 | 36% | 12 Apr → | ||
| 13–0 | 0.33 | 32% | 12 Apr → | ||
| 13–9 | 0.01 | 17% | 11 Apr → | ||
| 13–10 | 0.06 | 25% | 11 Apr → | ||
| 13–8 | 0.01 | 67% | 11 Apr → | ||
| 13–10 | 0.06 | 21% | 11 Apr → | ||
| 13–11 | 0.01 | 29% | 9 Apr → | ||
| 11–13 | -0.02 | 31% | 8 Apr → | ||
| 13–7 | 0.07 | 32% | 8 Apr → | ||
| 13–8 | 0.09 | 25% | 8 Apr → | ||
| 13–8 | 0.08 | 16% | 8 Apr → | ||
| 13–10 | 0.03 | 27% | 7 Apr → | ||
| 6–13 | -0.01 | 43% | 5 Apr → | ||
| 13–9 | 0.07 | 30% | 5 Apr → | ||
| 13–5 | 0.09 | 39% | 5 Apr → | ||
| 8–13 | -0.01 | 42% | 5 Apr → | ||
| 13–11 | 0.09 | 32% | 5 Apr → | ||
| 19–17 | 0.11 | 39% | 4 Apr → | ||
| 9–13 | -0.05 | 17% | 4 Apr → | ||
| 13–9 | 0.01 | 11% | 4 Apr → | ||
| 9–13 | 0.00 | 28% | 22 Mar → | ||
| 8–13 | 0.01 | 14% | 10 Mar → | ||
| 6–13 | -0.03 | 35% | 3 Mar → | ||
| 1–13 | -0.11 | 25% | 3 Mar → | ||
| 6–13 | -0.06 | 16% | 3 Mar → | ||
| 8–13 | -0.09 | 31% | 2 Mar → | ||
| 3–13 | -0.06 | 29% | 27 Feb → | ||
| 8–13 | -0.04 | 25% | 27 Feb → | ||
| 19–17 | -0.02 | 33% | 26 Feb → | ||
| 0–13 | -0.07 | 31% | 25 Feb → | ||
| 3–13 | 0.04 | 26% | 25 Feb → | ||
| 7–13 | 0.02 | 15% | 25 Feb → | ||
| 13–5 | 0.00 | 31% | 25 Feb → | ||
| 13–7 | 0.07 | 28% | 23 Feb → | ||
| 4–13 | -0.02 | 22% | 23 Feb → | ||
| 3–13 | -0.01 | 29% | 22 Feb → | ||
| 11–13 | 0.07 | 22% | 22 Feb → | ||
| 9–13 | -0.02 | 15% | 22 Feb → | ||
| 3–13 | -0.03 | 11% | 21 Feb → | ||
| 13–11 | -0.01 | 23% | 21 Feb → | ||
| 6–13 | 0.02 | 40% | 20 Feb → | ||
| 11–13 | -0.01 | 21% | 18 Feb → | ||
| 13–7 | 0.05 | 21% | 16 Feb → | ||
| 10–13 | 0.01 | 38% | 16 Feb → | ||
| 14–16 | -0.00 | 33% | 16 Feb → | ||
| 13–4 | 0.10 | 40% | 16 Feb → | ||
| 13–4 | 0.05 | 30% | 15 Feb → | ||
| 13–5 | -0.00 | 7% | 15 Feb → | ||
| 11–13 | -0.10 | 24% | 14 Feb → | ||
| 14–16 | -0.01 | 34% | 14 Feb → | ||
| 13–5 | 0.02 | 25% | 14 Feb → | ||
| 13–9 | 0.12 | 30% | 13 Feb → | ||
| 13–4 | 0.15 | 30% | 13 Feb → | ||
| 16–14 | 0.08 | 43% | 13 Feb → | ||
| 13–11 | 0.11 | 19% | 13 Feb → |
Match data via Leetify.
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