Arceus — CS2 Stats
DK76561197979947264[U:1:19681536]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=3,917), 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 | Pink band median | Red band median | vs Red band |
|---|---|---|---|---|
| Headshot rate | 47.7% | 47.2% | 49.9% | 2.3% short |
| Shot accuracy | 17.4% | 12.7% | 13.4% | above |
| Kill/death ratio | 0.92 | 1.09 | 1.12 | 0.20 short |
| Match win rate | 38.7% | 46.6% | 48.4% | 9.7% short |
This profile matches the typical Red band player on 1 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Red band 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: -10pp win rate · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimer
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 b1t 93% playstyle similarity
Most alike: opening-duel success, 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
Aim. Aim score of 88 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.
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 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 | 27 | 15–12 | 56% | 0.01 | |
| B | 15 | 8–7 | 53% | 0.01 | |
| B | 15 | 7–8 | 47% | -0.01 | |
| C | 14 | 6–8 | 43% | -0.01 | |
| B | 13 | 6–7 | 46% | -0.00 | |
| S | 9 | 6–3 | 67% | 0.04 | |
| A | 5 | 3–2 | 60% | -0.01 | |
| — | 2 | 1–1 | 50% | 0.02 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (43% over 14). Start with the 6 essential Anubis 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 resultsWLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 67 | 48% | 0.96 | 14.2 |
| Ancient | 41 | 59% | 1.06 | 14.2 |
| Overpass | 34 | 59% | 1.02 | 15.2 |
| Anubis | 17 | 35% | 1.01 | 14.6 |
| Vertigo | 13 | 62% | 0.88 | 12.1 |
| Inferno | 13 | 46% | 1.25 | 15.2 |
| Dust2 | 10 | 50% | 0.79 | 14.1 |
| Nuke | 8 | 0% | 0.71 | 11.0 |
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.
- 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 36.9296% — 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.
43% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | -0.01 | 15% | 28 Aug → | ||
| 8–13 | -0.06 | 17% | 28 Aug → | ||
| 5–13 | -0.02 | 22% | 28 Aug → | ||
| 7–13 | 0.01 | 19% | 28 Aug → | ||
| 8–13 | -0.02 | 14% | 27 Aug → | ||
| 13–4 | -0.07 | 50% | 27 Aug → | ||
| 13–5 | 0.03 | 9% | 27 Aug → | ||
| 13–9 | 0.03 | 33% | 27 Aug → | ||
| 13–2 | 0.10 | 33% | 27 Aug → | ||
| 12–12 | 0.02 | 20% | 26 Aug → | ||
| 13–10 | -0.01 | 13% | 26 Aug → | ||
| 8–1 | -0.04 | 0% | 26 Aug → | ||
| 5–13 | -0.06 | 17% | 26 Aug → | ||
| 13–11 | -0.03 | 15% | 26 Aug → | ||
| 4–13 | -0.08 | 32% | 23 Aug → | ||
| 13–11 | 0.09 | 33% | 23 Aug → | ||
| 13–8 | 0.08 | 15% | 23 Aug → | ||
| 5–13 | 0.04 | 21% | 23 Aug → | ||
| 12–12 | 0.10 | 19% | 23 Aug → | ||
| 13–6 | -0.01 | 17% | 23 Aug → | ||
| 16–14 | 0.01 | 14% | 23 Aug → | ||
| 13–2 | 0.10 | 13% | 23 Aug → | ||
| 2–13 | -0.10 | 12% | 23 Aug → | ||
| 13–11 | 0.03 | 32% | 20 Aug → | ||
| 6–13 | -0.04 | 14% | 20 Aug → | ||
| 11–13 | -0.00 | 12% | 19 Aug → | ||
| 10–13 | -0.01 | 19% | 17 Aug → | ||
| 13–16 | -0.04 | 19% | 17 Aug → | ||
| 9–13 | -0.02 | 5% | 17 Aug → | ||
| 13–11 | -0.07 | 4% | 16 Aug → | ||
| 5–13 | -0.04 | 11% | 16 Aug → | ||
| 13–9 | -0.02 | 16% | 16 Aug → | ||
| 13–11 | -0.02 | 19% | 16 Aug → | ||
| 7–13 | -0.03 | 17% | 13 Aug → | ||
| 13–5 | 0.05 | 30% | 13 Aug → | ||
| 7–13 | -0.02 | 16% | 13 Aug → | ||
| 13–11 | 0.03 | 21% | 12 Aug → | ||
| 13–4 | 0.08 | 10% | 12 Aug → | ||
| 13–9 | 0.00 | 17% | 11 Aug → | ||
| 10–13 | 0.04 | 12% | 9 Aug → | ||
| 7–13 | -0.03 | 17% | 9 Aug → | ||
| 8–13 | -0.07 | 15% | 9 Aug → | ||
| 5–13 | 0.02 | 14% | 8 Aug → | ||
| 9–13 | -0.06 | 18% | 6 Aug → | ||
| 8–13 | -0.02 | 17% | 4 Aug → | ||
| 3–13 | -0.09 | 13% | 4 Aug → | ||
| 10–13 | -0.01 | 19% | 4 Aug → | ||
| 13–6 | -0.03 | 19% | 3 Aug → | ||
| 13–10 | -0.04 | 7% | 3 Aug → | ||
| 8–13 | -0.05 | 19% | 3 Aug → | ||
| 13–2 | -0.01 | 6% | 3 Aug → | ||
| 13–5 | -0.01 | 14% | 3 Aug → | ||
| 9–13 | -0.04 | 11% | 2 Aug → | ||
| 13–4 | 0.19 | 14% | 2 Aug → | ||
| 16–13 | 0.03 | 22% | 2 Aug → | ||
| 13–3 | 0.26 | 19% | 1 Aug → | ||
| 8–13 | -0.04 | 15% | 1 Aug → | ||
| 16–14 | 0.01 | 30% | 1 Aug → | ||
| 7–13 | -0.05 | 28% | 30 Jul → | ||
| 13–5 | 0.08 | 25% | 30 Jul → | ||
| 13–3 | -0.00 | 30% | 29 Jul → | ||
| 11–13 | -0.05 | 17% | 28 Jul → | ||
| 9–3 | 0.09 | 18% | 27 Jul → | ||
| 16–13 | 0.09 | 24% | 26 Jul → | ||
| 16–13 | 0.07 | 19% | 26 Jul → | ||
| 7–13 | -0.04 | 20% | 19 Jul → | ||
| 4–13 | -0.03 | 18% | 19 Jul → | ||
| 13–11 | -0.02 | 27% | 18 Jul → | ||
| 13–3 | -0.00 | 12% | 18 Jul → | ||
| 16–14 | 0.01 | 9% | 18 Jul → | ||
| 13–11 | 0.06 | 19% | 18 Jul → | ||
| 9–13 | 0.05 | 19% | 18 Jul → | ||
| 13–8 | -0.01 | 12% | 18 Jul → | ||
| 13–6 | -0.04 | 14% | 18 Jul → | ||
| 3–13 | -0.09 | 22% | 18 Jul → | ||
| 13–8 | 0.11 | 25% | 17 Jul → | ||
| 13–8 | 0.03 | 29% | 16 Jul → | ||
| 3–13 | -0.05 | 42% | 16 Jul → | ||
| 12–16 | 0.02 | 4% | 15 Jul → | ||
| 13–7 | 0.08 | 67% | 15 Jul → | ||
| 13–6 | -0.04 | 38% | 15 Jul → | ||
| 9–13 | 0.00 | 38% | 15 Jul → | ||
| 13–10 | 0.02 | 18% | 15 Jul → | ||
| 13–5 | 0.22 | 31% | 15 Jul → | ||
| 15–15 | 0.00 | 17% | 14 Jul → | ||
| 8–13 | -0.01 | 18% | 14 Jul → | ||
| 13–11 | -0.03 | 17% | 14 Jul → | ||
| 7–13 | -0.03 | 18% | 14 Jul → | ||
| 13–9 | 0.01 | 27% | 14 Jul → | ||
| 13–6 | 0.03 | 22% | 14 Jul → | ||
| 7–13 | 0.00 | 7% | 14 Jul → | ||
| 13–3 | 0.07 | 15% | 14 Jul → | ||
| 13–3 | 0.07 | 19% | 13 Jul → | ||
| 1–13 | -0.09 | 13% | 13 Jul → | ||
| 10–13 | 0.03 | 33% | 13 Jul → | ||
| 9–13 | 0.05 | 24% | 11 Jul → | ||
| 13–11 | 0.03 | 18% | 11 Jul → | ||
| 1–7 | -0.12 | 0% | 4 Jul → | ||
| 7–13 | -0.05 | 12% | 4 Jul → | ||
| 12–12 | -0.01 | 9% | 4 Jul → |
Match data via Leetify.