Ancient — CS2 Stats
EE76561198325367389[U:1:365101661]Steam profile ↗
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 | 51.5% | 52.0% |
| Shot accuracy | 12.2% | 13.7% |
| Kill/death ratio | 0.88 | 1.08 |
| Match win rate | 47.4% | 48.8% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.05 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 device 92% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
Where you differ: higher opening-duel success; 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
Strengths
CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
T-side openings. Opening success drops from 63% on CT to 43% on T — the same duels are being taken with worse setups on the attacking side.
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 7.5/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 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 | 26 | 17–9 | 65% | 0.01 | |
| A | 25 | 16–9 | 64% | 0.06 | |
| A | 21 | 13–8 | 62% | 0.02 | |
| B | 15 | 8–7 | 53% | 0.00 | |
| S | 9 | 6–3 | 67% | 0.01 | |
| — | 4 | 1–3 | 25% | -0.00 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (53% over 15). 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 | 969 | 53% | 1.06 | 15.1 |
| Ancient | 735 | 52% | 1.07 | 15.2 |
| Dust2 | 434 | 49% | 1.03 | 15.0 |
| Inferno | 345 | 55% | 1.08 | 14.7 |
| Anubis | 337 | 51% | 1.02 | 15.1 |
| Nuke | 220 | 53% | 1.03 | 15.3 |
| Overpass | 149 | 48% | 1.02 | 15.1 |
| Vertigo | 74 | 55% | 1.12 | 15.8 |
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.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 23–25 | 0.08 | 26% | 23 Aug → | ||
| 16–14 | 0.08 | 34% | 10 Aug → | ||
| 13–11 | -0.01 | 25% | 29 Jul → | ||
| 16–14 | 0.01 | 14% | 15 Jul → | ||
| 7–9 | -0.17 | 13% | 13 Jul → | ||
| 5–9 | -0.00 | 17% | 12 Jul → | ||
| 13–5 | 0.02 | 33% | 3 Jul → | ||
| 13–9 | 0.03 | 16% | 28 Jun → | ||
| 10–13 | -0.04 | 21% | 26 Jun → | ||
| 9–7 | 0.20 | 51% | 26 Jun → | ||
| 9–2 | 0.22 | 32% | 25 Jun → | ||
| 6–13 | -0.02 | 6% | 17 Jun → | ||
| 9–0 | 0.31 | 32% | 15 Jun → | ||
| 8–8 | 0.06 | 17% | 15 Jun → | ||
| 13–7 | 0.02 | 14% | 14 Jun → | ||
| 5–13 | -0.03 | 31% | 14 Jun → | ||
| 16–14 | 0.03 | 52% | 6 Jun → | ||
| 13–8 | 0.00 | 27% | 4 Jun → | ||
| 15–15 | 0.05 | 24% | 3 Jun → | ||
| 16–12 | 0.02 | 30% | 31 May → | ||
| 5–13 | -0.05 | 7% | 31 May → | ||
| 13–11 | 0.02 | 23% | 30 May → | ||
| 10–13 | -0.01 | 14% | 30 May → | ||
| 13–10 | 0.02 | 18% | 29 May → | ||
| 13–6 | 0.03 | 24% | 22 May → | ||
| 11–13 | 0.04 | 16% | 16 May → | ||
| 22–19 | 0.02 | 14% | 7 May → | ||
| 13–3 | -0.00 | 33% | 4 May → | ||
| 13–10 | -0.03 | 22% | 3 May → | ||
| 13–2 | 0.04 | 41% | 2 May → | ||
| 13–7 | 0.07 | 18% | 23 Apr → | ||
| 11–13 | -0.01 | 16% | 23 Apr → | ||
| 13–4 | 0.09 | 20% | 15 Apr → | ||
| 13–8 | -0.00 | 38% | 14 Apr → | ||
| 7–13 | -0.01 | 16% | 12 Apr → | ||
| 13–5 | 0.09 | 31% | 12 Apr → | ||
| 5–13 | -0.02 | 24% | 10 Apr → | ||
| 12–16 | -0.01 | 29% | 8 Apr → | ||
| 13–6 | 0.09 | 25% | 8 Apr → | ||
| 7–13 | -0.01 | 24% | 8 Apr → | ||
| 8–13 | 0.02 | 24% | 8 Apr → | ||
| 13–5 | 0.03 | 24% | 7 Apr → | ||
| 7–13 | -0.02 | 17% | 2 Apr → | ||
| 11–13 | -0.07 | 18% | 2 Apr → | ||
| 13–7 | -0.05 | 25% | 2 Apr → | ||
| 13–9 | 0.04 | 28% | 30 Mar → | ||
| 9–13 | 0.01 | 27% | 30 Mar → | ||
| 11–5 | -0.05 | 25% | 30 Mar → | ||
| 13–11 | 0.01 | 17% | 29 Mar → | ||
| 13–7 | 0.04 | 28% | 29 Mar → | ||
| 6–13 | -0.04 | 48% | 25 Mar → | ||
| 10–13 | -0.02 | 28% | 24 Mar → | ||
| 7–13 | 0.02 | 26% | 22 Mar → | ||
| 13–3 | 0.05 | 38% | 22 Mar → | ||
| 13–5 | 0.07 | 12% | 21 Mar → | ||
| 4–3 | 0.01 | 31% | 21 Mar → | ||
| 6–13 | 0.03 | 36% | 17 Mar → | ||
| 13–9 | 0.06 | 25% | 17 Mar → | ||
| 13–8 | 0.01 | 20% | 17 Mar → | ||
| 13–16 | -0.06 | 21% | 12 Mar → | ||
| 9–0 | 0.35 | 25% | 10 Mar → | ||
| 13–6 | 0.00 | 31% | 10 Mar → | ||
| 3–13 | 0.02 | 32% | 10 Mar → | ||
| 12–16 | 0.05 | 22% | 10 Mar → | ||
| 13–10 | -0.01 | 23% | 8 Mar → | ||
| 13–4 | 0.00 | 19% | 8 Mar → | ||
| 13–10 | 0.01 | 32% | 8 Mar → | ||
| 13–4 | 0.03 | 8% | 7 Mar → | ||
| 13–7 | 0.02 | 32% | 7 Mar → | ||
| 14–16 | 0.04 | 38% | 27 Feb → | ||
| 9–13 | -0.06 | 21% | 25 Feb → | ||
| 11–13 | 0.07 | 19% | 22 Feb → | ||
| 6–13 | -0.01 | 28% | 15 Feb → | ||
| 13–7 | -0.08 | 22% | 31 Jan → | ||
| 13–7 | 0.01 | 26% | 27 Jan → | ||
| 6–13 | -0.01 | 17% | 26 Jan → | ||
| 13–11 | 0.08 | 21% | 23 Jan → | ||
| 13–8 | 0.08 | 26% | 23 Jan → | ||
| 7–13 | 0.00 | 18% | 18 Jan → | ||
| 13–11 | 0.01 | 23% | 18 Jan → | ||
| 16–12 | 0.03 | 18% | 17 Jan → | ||
| 6–13 | -0.01 | 18% | 11 Jan → | ||
| 13–10 | -0.01 | 17% | 10 Jan → | ||
| 13–8 | -0.01 | 31% | 7 Jan → | ||
| 5–13 | -0.07 | 20% | 4 Jan → | ||
| 13–11 | 0.10 | 12% | 3 Jan → | ||
| 13–7 | 0.05 | 17% | 2 Jan → | ||
| 13–6 | 0.06 | 25% | 31 Dec → | ||
| 0–3 | -0.21 | 0% | 27 Dec → | ||
| 9–4 | 0.20 | 27% | 27 Dec → | ||
| 9–4 | 0.13 | 23% | 27 Dec → | ||
| 13–10 | 0.02 | 19% | 23 Dec → | ||
| 13–7 | 0.01 | 17% | 23 Dec → | ||
| 9–13 | 0.02 | 24% | 21 Dec → | ||
| 13–10 | -0.01 | 13% | 11 Dec → | ||
| 13–6 | 0.04 | 14% | 3 Dec → | ||
| 11–13 | 0.01 | 19% | 26 Oct → | ||
| 13–4 | -0.02 | 7% | 5 Oct → | ||
| 3–13 | -0.05 | 23% | 28 Sept → | ||
| 13–10 | -0.01 | 17% | 28 Sept → |
Match data via Leetify.