Armadyl Godsword — CS2 Stats
AU76561199493987866[U:1:1533722138]Steam profile ↗
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=201), 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 | vs Pink band |
|---|---|---|---|
| Headshot rate | 41.4% | 48.1% | 6.7% short |
| Shot accuracy | 3.4% | 12.9% | 9.4% short |
| Kill/death ratio | 0.78 | 1.08 | 0.30 short |
| Match win rate | 38.5% | 46.5% | 8.0% short |
This profile sits below the typical Pink band player on every metric we can compare.
Widest gap: Shot accuracy. That is the metric furthest from the Pink 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: -30pp win rate · +0.01 avg rating
Player DNA
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 NiKo 78% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
Where you differ: lower positioning profile; 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
Reaction time. 750ms 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 4.2/10 (Developing), 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 |
|---|---|---|---|---|---|
| B | 40 | 20–20 | 50% | -0.02 | |
| C | 28 | 12–16 | 43% | -0.02 | |
| B | 10 | 5–5 | 50% | -0.03 | |
| D | 9 | 3–6 | 33% | -0.02 | |
| S | 5 | 4–1 | 80% | -0.03 | |
| — | 4 | 1–3 | 25% | -0.04 | |
| — | 3 | 1–2 | 33% | -0.04 | |
| — | 1 | 0–1 | 0% | -0.05 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Nuke 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.
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.
- Best CS2 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 750.4499ms — above the 700ms mark we flag
- 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 32.4544% — 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.
33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 3–13 | -0.03 | 29% | 23 Aug → | ||
| 13–6 | 0.08 | 24% | 19 Aug → | ||
| 0–6 | -0.04 | 40% | 9 Aug → | ||
| 3–13 | 0.01 | 27% | 9 Aug → | ||
| 10–13 | 0.05 | 17% | 30 Jul → | ||
| 8–13 | -0.04 | 14% | 30 Jul → | ||
| 9–13 | -0.08 | 29% | 27 Jul → | ||
| 11–13 | -0.01 | 18% | 26 Jul → | ||
| 13–6 | 0.07 | 24% | 26 Jul → | ||
| 11–13 | -0.06 | 32% | 26 Jul → | ||
| 13–3 | 0.00 | 26% | 26 Jul → | ||
| 10–13 | -0.05 | 27% | 26 Jul → | ||
| 4–13 | -0.05 | 30% | 26 Jul → | ||
| 13–11 | -0.03 | 22% | 25 Jul → | ||
| 13–6 | -0.03 | 11% | 25 Jul → | ||
| 10–13 | 0.06 | 14% | 25 Jul → | ||
| 10–13 | -0.07 | 23% | 25 Jul → | ||
| 15–15 | 0.01 | 21% | 23 Jul → | ||
| 13–11 | -0.00 | 11% | 22 Jul → | ||
| 13–10 | 0.01 | 20% | 22 Jul → | ||
| 8–13 | -0.01 | 22% | 22 Jul → | ||
| 9–13 | -0.09 | 3% | 21 Jul → | ||
| 13–7 | -0.04 | 14% | 21 Jul → | ||
| 13–1 | -0.03 | 27% | 21 Jul → | ||
| 15–15 | -0.05 | 9% | 20 Jul → | ||
| 13–7 | 0.01 | 21% | 19 Jul → | ||
| 3–13 | -0.09 | 8% | 18 Jul → | ||
| 13–6 | -0.02 | 17% | 17 Jul → | ||
| 13–8 | -0.01 | 8% | 17 Jul → | ||
| 13–8 | 0.00 | 15% | 17 Jul → | ||
| 10–13 | -0.06 | 16% | 16 Jul → | ||
| 14–16 | -0.08 | 10% | 16 Jul → | ||
| 13–10 | -0.02 | 10% | 15 Jul → | ||
| 8–13 | -0.05 | 6% | 12 Jul → | ||
| 2–13 | -0.05 | 16% | 12 Jul → | ||
| 6–13 | -0.09 | 11% | 11 Jul → | ||
| 13–6 | 0.04 | 10% | 11 Jul → | ||
| 13–8 | -0.05 | 25% | 11 Jul → | ||
| 13–6 | -0.06 | 17% | 10 Jul → | ||
| 13–5 | -0.00 | 12% | 10 Jul → | ||
| 13–10 | -0.00 | 20% | 10 Jul → | ||
| 13–10 | -0.04 | 18% | 7 Jul → | ||
| 13–10 | 0.01 | 10% | 29 Jun → | ||
| 16–14 | -0.04 | 24% | 29 Jun → | ||
| 13–10 | -0.09 | 2% | 28 Jun → | ||
| 2–13 | -0.09 | 9% | 28 Jun → | ||
| 7–13 | -0.05 | 4% | 26 Jun → | ||
| 1–13 | -0.05 | 35% | 13 Jun → | ||
| 11–13 | -0.03 | 9% | 12 Jun → | ||
| 13–5 | 0.01 | 15% | 12 Jun → | ||
| 2–10 | -0.08 | 7% | 12 Jun → | ||
| 10–13 | -0.02 | 13% | 12 Jun → | ||
| 11–13 | -0.08 | 9% | 9 Jun → | ||
| 3–13 | -0.04 | 33% | 9 Jun → | ||
| 13–11 | -0.01 | 14% | 7 Jun → | ||
| 8–13 | -0.04 | 19% | 7 Jun → | ||
| 13–5 | -0.05 | 14% | 4 Jun → | ||
| 13–7 | -0.01 | 7% | 4 Jun → | ||
| 13–16 | -0.05 | 25% | 24 May → | ||
| 13–7 | -0.03 | 18% | 11 May → | ||
| 13–5 | -0.02 | 12% | 11 May → | ||
| 13–10 | -0.01 | 19% | 7 May → | ||
| 13–10 | 0.01 | 19% | 7 May → | ||
| 9–13 | 0.00 | 17% | 5 May → | ||
| 10–13 | -0.02 | 26% | 5 May → | ||
| 9–13 | -0.01 | 22% | 5 May → | ||
| 6–13 | -0.02 | 17% | 5 May → | ||
| 11–13 | -0.11 | 6% | 3 May → | ||
| 10–13 | -0.03 | 33% | 3 May → | ||
| 6–13 | -0.08 | 13% | 2 May → | ||
| 13–3 | 0.01 | 2% | 2 May → | ||
| 11–13 | -0.04 | 12% | 2 May → | ||
| 8–13 | -0.03 | 7% | 1 May → | ||
| 8–13 | -0.00 | 11% | 1 May → | ||
| 9–13 | 0.02 | 12% | 30 Apr → | ||
| 12–12 | -0.03 | 28% | 29 Apr → | ||
| 9–13 | -0.06 | 11% | 29 Apr → | ||
| 13–9 | 0.03 | 14% | 29 Apr → | ||
| 16–14 | -0.01 | 6% | 27 Apr → | ||
| 13–7 | -0.04 | 30% | 27 Apr → | ||
| 13–6 | -0.01 | 18% | 27 Apr → | ||
| 13–9 | -0.02 | 12% | 27 Apr → | ||
| 13–10 | 0.02 | 17% | 27 Apr → | ||
| 13–10 | -0.00 | 7% | 26 Apr → | ||
| 13–8 | -0.03 | 17% | 26 Apr → | ||
| 8–13 | 0.01 | 13% | 26 Apr → | ||
| 13–8 | 0.04 | 17% | 26 Apr → | ||
| 13–7 | -0.02 | 6% | 26 Apr → | ||
| 5–13 | -0.08 | 21% | 26 Apr → | ||
| 15–15 | -0.04 | 18% | 23 Apr → | ||
| 7–13 | 0.05 | 16% | 19 Apr → | ||
| 16–13 | 0.01 | 21% | 19 Apr → | ||
| 7–13 | -0.07 | 20% | 19 Apr → | ||
| 13–6 | -0.01 | 9% | 19 Apr → | ||
| 13–8 | -0.03 | 16% | 19 Apr → | ||
| 12–16 | -0.02 | 15% | 17 Apr → | ||
| 9–13 | -0.02 | 15% | 17 Apr → | ||
| 7–13 | -0.04 | 7% | 16 Apr → | ||
| 8–13 | 0.03 | 19% | 16 Apr → | ||
| 13–9 | -0.02 | 18% | 15 Apr → |
Match data via Leetify.