Armour — CS2 Stats
76561198018656605[U:1:58390877]VAC banned
Rating over time
Premier CS Rating
- At peak — 15,585
- Next: Pink band at 20,000 — 4,415 to go
- Reached: Purple band · Blue band · Light Blue band
- Purple band first seen 2026-08-28
- Blue band first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.00 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 jL 89% playstyle similarity
Most alike: utility contribution, opening-duel success.
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 58% on CT to 37% 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 6.2/10 (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 | 25 | 11–14 | 44% | 0.05 | |
| B | 17 | 9–8 | 53% | 0.03 | |
| A | 14 | 8–6 | 57% | 0.06 | |
| B | 13 | 6–7 | 46% | 0.05 | |
| A | 12 | 7–5 | 58% | 0.07 | |
| D | 6 | 1–5 | 17% | 0.00 | |
| B | 6 | 3–3 | 50% | 0.04 | |
| — | 2 | 1–1 | 50% | 0.04 | |
| alpine | — | 1 | 1–0 | 100% | 0.01 |
| — | 1 | 0–1 | 0% | -0.03 | |
| warden | — | 1 | 0–1 | 0% | 0.09 |
| office | — | 1 | 0–1 | 0% | 0.11 |
| — | 1 | 0–1 | 0% | 0.04 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLLL
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 36.8699% — 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.
17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–9 | 0.03 | 28% | 7 Aug → | ||
| 13–9 | 0.12 | 22% | 4 Aug → | ||
| 13–5 | 0.05 | 13% | 4 Aug → | ||
| 13–3 | 0.24 | 11% | 16 Jul → | ||
| 13–11 | 0.07 | 18% | 16 Jul → | ||
| 13–2 | 0.03 | 12% | 16 Jul → | ||
| 6–13 | 0.04 | 9% | 16 Jul → | ||
| 3–13 | 0.03 | 16% | 16 Jul → | ||
| 13–4 | 0.14 | 20% | 16 Jul → | ||
| 9–13 | -0.05 | 16% | 15 Jul → | ||
| 13–8 | -0.01 | 21% | 15 Jul → | ||
| 13–5 | 0.05 | 24% | 15 Jul → | ||
| 13–8 | 0.07 | 21% | 15 Jul → | ||
| 15–15 | -0.01 | 18% | 15 Jul → | ||
| 13–9 | 0.21 | 21% | 15 Jul → | ||
| 12–16 | -0.01 | 25% | 15 Jul → | ||
| 13–8 | 0.13 | 17% | 15 Jul → | ||
| 13–3 | 0.14 | 22% | 12 Jul → | ||
| 10–13 | 0.09 | 23% | 11 Jul → | ||
| 5–13 | 0.01 | 15% | 11 Jul → | ||
| 12–16 | 0.04 | 21% | 10 Jul → | ||
| 15–15 | 0.07 | 21% | 10 Jul → | ||
| 12–16 | 0.10 | 42% | 9 Jul → | ||
| 13–5 | 0.19 | 23% | 9 Jul → | ||
| 13–11 | 0.01 | 12% | 9 Jul → | ||
| 5–13 | 0.05 | 20% | 9 Jul → | ||
| 13–10 | 0.12 | 23% | 9 Jul → | ||
| 8–13 | 0.05 | 22% | 9 Jul → | ||
| 9–13 | -0.02 | 20% | 8 Jul → | ||
| alpine | 13–10 | 0.01 | 15% | 8 Jul → | |
| 6–13 | -0.03 | 12% | 8 Jul → | ||
| warden | 7–13 | 0.09 | 20% | 8 Jul → | |
| 13–6 | 0.06 | 20% | 8 Jul → | ||
| office | 3–13 | 0.11 | 9% | 8 Jul → | |
| 3–13 | -0.01 | 17% | 8 Jul → | ||
| 13–11 | 0.05 | 23% | 8 Jul → | ||
| 13–10 | 0.05 | 17% | 7 Jul → | ||
| 13–4 | 0.06 | 25% | 7 Jul → | ||
| 3–13 | 0.04 | 11% | 7 Jul → | ||
| 13–10 | 0.08 | 25% | 4 Jul → | ||
| 4–13 | -0.08 | 17% | 4 Jul → | ||
| 13–4 | 0.01 | 25% | 4 Jul → | ||
| 0–13 | -0.10 | 7% | 4 Jul → | ||
| 13–8 | 0.04 | 20% | 2 Jul → | ||
| 13–7 | 0.04 | 32% | 2 Jul → | ||
| 10–13 | 0.11 | 14% | 2 Jul → | ||
| 11–13 | 0.07 | 19% | 2 Jul → | ||
| 13–1 | 0.10 | 20% | 1 Jul → | ||
| 9–13 | 0.05 | 18% | 1 Jul → | ||
| 11–13 | 0.03 | 16% | 1 Jul → | ||
| 13–6 | -0.02 | 18% | 30 Jun → | ||
| 13–8 | 0.04 | 26% | 30 Jun → | ||
| 8–13 | -0.07 | 11% | 29 Jun → | ||
| 13–9 | 0.03 | 15% | 29 Jun → | ||
| 16–13 | 0.06 | 15% | 28 Jun → | ||
| 13–5 | -0.00 | 13% | 28 Jun → | ||
| 14–16 | 0.04 | 16% | 28 Jun → | ||
| 4–7 | 0.06 | 17% | 27 Jun → | ||
| 13–11 | 0.03 | 8% | 27 Jun → | ||
| 5–13 | 0.02 | 17% | 27 Jun → | ||
| 13–8 | -0.03 | 13% | 26 Jun → | ||
| 7–0 | 0.25 | 23% | 26 Jun → | ||
| 10–13 | -0.02 | 15% | 26 Jun → | ||
| 13–5 | 0.08 | 22% | 26 Jun → | ||
| 1–7 | -0.02 | 42% | 24 Jun → | ||
| 12–16 | -0.02 | 20% | 24 Jun → | ||
| 6–13 | 0.10 | 21% | 24 Jun → | ||
| 13–9 | -0.02 | 5% | 24 Jun → | ||
| 11–13 | 0.03 | 17% | 23 Jun → | ||
| 16–14 | 0.04 | 21% | 23 Jun → | ||
| 13–5 | -0.01 | 18% | 23 Jun → | ||
| 11–13 | -0.02 | 23% | 23 Jun → | ||
| 14–16 | 0.01 | 26% | 22 Jun → | ||
| 7–13 | 0.03 | 19% | 22 Jun → | ||
| 16–12 | 0.08 | 16% | 21 Jun → | ||
| 3–13 | 0.11 | 24% | 21 Jun → | ||
| 13–6 | 0.05 | 9% | 21 Jun → | ||
| 14–16 | 0.03 | 22% | 21 Jun → | ||
| 13–9 | 0.07 | 15% | 20 Jun → | ||
| 13–9 | 0.09 | 31% | 20 Jun → | ||
| 7–13 | -0.01 | 17% | 20 Jun → | ||
| 7–13 | -0.00 | 14% | 20 Jun → | ||
| 13–9 | 0.05 | 22% | 20 Jun → | ||
| 11–13 | 0.08 | 19% | 18 Jun → | ||
| 9–13 | -0.01 | 16% | 18 Jun → | ||
| 13–1 | 0.05 | 15% | 11 Jun → | ||
| 15–15 | 0.07 | 23% | 11 Jun → | ||
| 13–16 | 0.04 | 18% | 7 Jun → | ||
| 13–16 | 0.01 | 22% | 4 Jun → | ||
| 13–9 | 0.04 | 16% | 30 May → | ||
| 16–13 | -0.02 | 20% | 26 May → | ||
| 9–13 | 0.05 | 18% | 26 May → | ||
| 9–13 | 0.08 | 29% | 25 May → | ||
| 8–13 | 0.02 | 32% | 25 May → | ||
| 11–13 | 0.07 | 23% | 24 May → | ||
| 6–13 | 0.05 | 26% | 24 May → | ||
| 11–13 | 0.00 | 29% | 24 May → | ||
| 13–7 | 0.06 | 29% | 24 May → | ||
| 9–13 | 0.06 | 23% | 23 May → | ||
| 11–13 | 0.04 | 25% | 23 May → |
Match data via Leetify.