Have You Seen Armand Christophe? — CS2 Stats
GB76561198026178047[U:1:65912319]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 | 39.7% | 47.2% | 49.9% | 10.3% short |
| Shot accuracy | 9.2% | 12.7% | 13.4% | 4.2% short |
| Kill/death ratio | 0.91 | 1.09 | 1.12 | 0.21 short |
| Match win rate | 46.0% | 46.6% | 48.4% | 2.5% short |
This profile sits below the typical Red band player on every metric we can compare.
Widest gap: Shot accuracy. 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: +0pp win rate · +0.04 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 88% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower utility contribution; lower aim profile.
Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →
CSDB Rating breakdown
Composite 5.5/10 (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 | 15 | 9–6 | 60% | 0.02 | |
| B | 14 | 7–7 | 50% | -0.02 | |
| B | 13 | 6–7 | 46% | -0.01 | |
| B | 11 | 5–6 | 45% | 0.00 | |
| A | 11 | 7–4 | 64% | -0.01 | |
| C | 10 | 4–6 | 40% | 0.00 | |
| S | 9 | 7–2 | 78% | 0.05 | |
| S | 6 | 4–2 | 67% | 0.00 | |
| B | 6 | 3–3 | 50% | -0.01 | |
| fachwerk | — | 1 | 1–0 | 100% | 0.17 |
| debris | — | 1 | 1–0 | 100% | 0.14 |
| office | — | 1 | 0–1 | 0% | 0.01 |
| alpine | — | 1 | 0–1 | 0% | -0.00 |
| stronghold | — | 1 | 0–1 | 0% | 0.05 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Inferno 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.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4286 — below the 0.5 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 29.9121% — 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.
40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–7 | 0.09 | 21% | 16 Aug → | ||
| 2–6 | 0.04 | 18% | 16 Aug → | ||
| fachwerk | 13–5 | 0.17 | 22% | 16 Aug → | |
| debris | 9–3 | 0.14 | 11% | 16 Aug → | |
| 11–13 | -0.02 | 23% | 5 Jul → | ||
| 10–13 | -0.04 | 12% | 28 Jun → | ||
| 13–7 | 0.01 | 15% | 28 Jun → | ||
| 7–13 | -0.07 | 18% | 25 Jun → | ||
| 7–13 | -0.07 | 22% | 24 Jun → | ||
| 13–4 | -0.04 | 13% | 24 Jun → | ||
| 2–13 | -0.06 | 15% | 22 Jun → | ||
| 3–11 | -0.05 | 21% | 22 Jun → | ||
| 13–10 | -0.00 | 20% | 21 Jun → | ||
| 1–13 | -0.07 | 15% | 21 Jun → | ||
| 15–15 | -0.01 | 15% | 16 Jun → | ||
| 13–11 | 0.03 | 24% | 16 Jun → | ||
| 13–8 | 0.02 | 16% | 16 Jun → | ||
| 13–9 | -0.04 | 11% | 16 Jun → | ||
| 5–13 | 0.03 | 24% | 15 Jun → | ||
| 13–11 | -0.03 | 16% | 15 Jun → | ||
| 7–13 | -0.05 | 13% | 14 Jun → | ||
| 13–10 | 0.03 | 23% | 14 Jun → | ||
| 8–13 | 0.04 | 11% | 14 Jun → | ||
| 3–13 | -0.04 | 9% | 14 Jun → | ||
| 13–9 | -0.02 | 11% | 14 Jun → | ||
| 13–7 | 0.03 | 12% | 14 Jun → | ||
| 10–13 | -0.06 | 10% | 14 Jun → | ||
| 7–13 | -0.02 | 14% | 14 Jun → | ||
| 13–8 | 0.02 | 31% | 14 Jun → | ||
| 12–16 | 0.01 | 18% | 12 Jun → | ||
| 13–7 | 0.08 | 15% | 12 Jun → | ||
| 13–8 | 0.07 | 23% | 12 Jun → | ||
| 8–13 | -0.09 | 30% | 11 Jun → | ||
| 1–13 | -0.07 | 17% | 11 Jun → | ||
| 13–5 | -0.03 | 18% | 11 Jun → | ||
| 10–13 | -0.05 | 19% | 10 Jun → | ||
| 6–13 | -0.01 | 10% | 10 Jun → | ||
| 13–3 | 0.05 | 22% | 9 Jun → | ||
| 13–10 | 0.00 | 14% | 9 Jun → | ||
| 10–13 | -0.07 | 14% | 8 Jun → | ||
| 5–13 | -0.05 | 12% | 7 Jun → | ||
| 13–9 | -0.05 | 18% | 7 Jun → | ||
| 11–13 | -0.02 | 18% | 6 Jun → | ||
| 10–13 | -0.00 | 20% | 6 Jun → | ||
| 10–13 | 0.01 | 20% | 6 Jun → | ||
| 13–9 | 0.02 | 22% | 6 Jun → | ||
| 6–13 | -0.04 | 17% | 6 Jun → | ||
| 13–10 | 0.02 | 26% | 6 Jun → | ||
| 13–8 | -0.00 | 17% | 6 Jun → | ||
| 13–4 | -0.02 | 18% | 6 Jun → | ||
| 13–5 | 0.08 | 15% | 6 Jun → | ||
| 6–13 | 0.01 | 12% | 5 Jun → | ||
| 13–7 | -0.02 | 7% | 2 Jun → | ||
| 13–8 | 0.02 | 20% | 1 Jun → | ||
| 13–8 | 0.01 | 20% | 1 Jun → | ||
| 5–13 | 0.07 | 7% | 31 May → | ||
| 5–13 | 0.00 | 26% | 31 May → | ||
| 13–16 | -0.04 | 9% | 30 May → | ||
| 13–10 | 0.03 | 20% | 30 May → | ||
| 6–13 | 0.02 | 22% | 27 May → | ||
| 13–11 | 0.02 | 10% | 26 May → | ||
| 13–3 | 0.05 | 22% | 26 May → | ||
| 13–6 | 0.06 | 34% | 25 May → | ||
| 14–16 | -0.02 | 10% | 25 May → | ||
| 13–10 | -0.03 | 12% | 25 May → | ||
| 13–5 | 0.01 | 20% | 24 May → | ||
| 16–12 | 0.02 | 26% | 24 May → | ||
| 13–8 | 0.01 | 9% | 18 May → | ||
| 13–9 | -0.01 | 26% | 18 May → | ||
| 9–13 | -0.06 | 20% | 18 May → | ||
| 13–3 | 0.05 | 33% | 18 May → | ||
| 13–6 | 0.07 | 33% | 17 May → | ||
| 4–13 | -0.03 | 19% | 14 May → | ||
| 13–10 | 0.03 | 13% | 14 May → | ||
| 13–11 | -0.05 | 18% | 12 May → | ||
| 13–11 | 0.00 | 18% | 10 May → | ||
| 9–13 | -0.01 | 17% | 10 May → | ||
| 13–2 | 0.05 | 20% | 10 May → | ||
| 12–12 | 0.02 | 9% | 10 May → | ||
| 11–13 | -0.06 | 18% | 10 May → | ||
| 13–9 | 0.01 | 12% | 9 May → | ||
| 3–13 | 0.02 | 14% | 9 May → | ||
| 9–13 | -0.01 | 20% | 9 May → | ||
| 9–13 | -0.04 | 15% | 9 May → | ||
| 13–11 | 0.09 | 17% | 7 May → | ||
| 5–13 | 0.02 | 18% | 6 May → | ||
| 13–11 | 0.07 | 16% | 6 May → | ||
| 13–7 | 0.10 | 15% | 5 May → | ||
| 11–13 | 0.07 | 12% | 5 May → | ||
| 8–5 | -0.02 | 16% | 5 May → | ||
| 13–6 | 0.01 | 29% | 5 May → | ||
| 13–7 | 0.06 | 23% | 5 May → | ||
| office | 11–13 | 0.01 | 11% | 4 May → | |
| 13–7 | 0.00 | 24% | 4 May → | ||
| 13–9 | 0.02 | 18% | 4 May → | ||
| 13–6 | 0.12 | 14% | 4 May → | ||
| 13–0 | 0.04 | 10% | 4 May → | ||
| 9–13 | -0.04 | 14% | 4 May → | ||
| alpine | 6–13 | -0.00 | 10% | 3 May → | |
| stronghold | 12–12 | 0.05 | 14% | 3 May → |
Match data via Leetify.