artisiole — CS2 Stats
76561198375841414[U:1:415575686]✓ No bans
How this compares with the same rank
Median values for Blue band among CSDB-tracked players (n=1,240), 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 | Blue band median | Purple band median | vs Purple band |
|---|---|---|---|---|
| Headshot rate | 42.9% | 41.7% | 44.1% | 1.1% short |
| Shot accuracy | 4.0% | 8.8% | 11.4% | 7.4% short |
| Kill/death ratio | 0.94 | 0.97 | 1.03 | 0.09 short |
| Match win rate | 42.8% | 43.8% | 45.2% | 2.4% short |
This profile sits below the typical Purple band player on every metric we can compare.
Widest gap: Shot accuracy. That is the metric furthest from the Purple 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: +50pp win rate · +0.04 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side openerLimited utility dependence
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 Twistzz 86% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: lower aim profile; lower utility contribution.
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 57% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 579ms 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 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 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 | 22 | 13–9 | 59% | -0.01 | |
| A | 19 | 11–8 | 58% | 0.07 | |
| B | 11 | 5–6 | 45% | 0.02 | |
| S | 8 | 7–1 | 88% | 0.02 | |
| C | 8 | 3–5 | 38% | 0.02 | |
| A | 7 | 4–3 | 57% | -0.01 | |
| office | B | 6 | 3–3 | 50% | -0.03 |
| A | 5 | 3–2 | 60% | 0.06 | |
| — | 4 | 4–0 | 100% | -0.03 | |
| — | 3 | 1–2 | 33% | -0.06 | |
| — | 2 | 0–2 | 0% | 0.04 | |
| poseidon | — | 2 | 2–0 | 100% | 0.14 |
| shelter | — | 2 | 2–0 | 100% | -0.02 |
| boulder | — | 1 | 0–1 | 0% | -0.04 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (38% over 8). 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.
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 →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.5641 — below the 4 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 23.5071% — 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.
38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 4–13 | -0.04 | 22% | 29 Aug → | ||
| 6–13 | -0.03 | 19% | 29 Aug → | ||
| 13–4 | 0.10 | 15% | 29 Aug → | ||
| 13–4 | -0.02 | 15% | 23 Aug → | ||
| 8–3 | 0.01 | 14% | 23 Aug → | ||
| 13–5 | 0.00 | 8% | 15 Aug → | ||
| 10–13 | 0.01 | 6% | 15 Aug → | ||
| 13–10 | -0.02 | 16% | 14 Aug → | ||
| 13–11 | -0.01 | 18% | 14 Aug → | ||
| 13–7 | 0.10 | 18% | 14 Aug → | ||
| 9–13 | 0.08 | 16% | 13 Aug → | ||
| 13–5 | 0.02 | 15% | 13 Aug → | ||
| 13–9 | 0.02 | 21% | 13 Aug → | ||
| 8–8 | 0.04 | 8% | 12 Aug → | ||
| 2–9 | -0.15 | 10% | 12 Aug → | ||
| 13–16 | -0.02 | 15% | 11 Aug → | ||
| 10–13 | -0.00 | 7% | 11 Aug → | ||
| 2–13 | -0.05 | 21% | 11 Aug → | ||
| 0–7 | -0.21 | 0% | 11 Aug → | ||
| 8–8 | -0.00 | 20% | 11 Aug → | ||
| 9–4 | -0.01 | 24% | 11 Aug → | ||
| 9–4 | 0.07 | 15% | 11 Aug → | ||
| 9–1 | 0.29 | 34% | 11 Aug → | ||
| 16–14 | -0.02 | 19% | 11 Aug → | ||
| 9–13 | -0.02 | 12% | 11 Aug → | ||
| 13–8 | -0.05 | 32% | 10 Aug → | ||
| 9–13 | -0.01 | 16% | 10 Aug → | ||
| office | 13–8 | -0.10 | 16% | 10 Aug → | |
| office | 10–13 | -0.04 | 13% | 10 Aug → | |
| office | 13–2 | 0.05 | 19% | 10 Aug → | |
| 8–8 | 0.07 | 13% | 9 Aug → | ||
| poseidon | 9–4 | 0.08 | 26% | 9 Aug → | |
| 4–9 | -0.07 | 9% | 9 Aug → | ||
| poseidon | 9–4 | 0.20 | 20% | 9 Aug → | |
| 13–7 | -0.04 | 21% | 9 Aug → | ||
| 13–8 | -0.02 | 12% | 8 Aug → | ||
| 13–4 | 0.08 | 16% | 8 Aug → | ||
| 13–11 | 0.02 | 19% | 8 Aug → | ||
| 9–6 | 0.08 | 19% | 8 Aug → | ||
| 9–0 | 0.24 | 9% | 8 Aug → | ||
| 8–8 | 0.03 | 9% | 8 Aug → | ||
| 9–3 | 0.04 | 21% | 8 Aug → | ||
| 9–5 | -0.03 | 11% | 8 Aug → | ||
| 9–2 | 0.11 | 9% | 8 Aug → | ||
| 9–1 | 0.21 | 11% | 8 Aug → | ||
| 7–9 | -0.01 | 11% | 8 Aug → | ||
| 8–8 | 0.08 | 24% | 8 Aug → | ||
| 9–3 | 0.13 | 12% | 8 Aug → | ||
| 9–5 | 0.03 | 15% | 8 Aug → | ||
| 9–2 | 0.11 | 15% | 8 Aug → | ||
| 9–13 | -0.00 | 12% | 8 Aug → | ||
| 8–8 | 0.04 | 13% | 7 Aug → | ||
| 9–2 | 0.15 | 13% | 7 Aug → | ||
| 9–3 | -0.01 | 8% | 7 Aug → | ||
| 9–6 | 0.04 | 31% | 7 Aug → | ||
| 3–9 | -0.20 | 11% | 7 Aug → | ||
| 9–3 | 0.12 | 16% | 7 Aug → | ||
| 13–11 | -0.01 | 20% | 7 Aug → | ||
| 13–11 | 0.08 | 19% | 7 Aug → | ||
| office | 13–7 | -0.07 | 0% | 7 Aug → | |
| 12–16 | -0.03 | 25% | 5 Aug → | ||
| 13–10 | -0.01 | 24% | 5 Aug → | ||
| 9–4 | 0.14 | 25% | 5 Aug → | ||
| 9–4 | -0.01 | 6% | 5 Aug → | ||
| 9–4 | -0.10 | 9% | 5 Aug → | ||
| 11–13 | 0.11 | 10% | 2 Aug → | ||
| 8–13 | -0.02 | 15% | 2 Aug → | ||
| shelter | 13–9 | 0.00 | 5% | 2 Aug → | |
| 13–0 | 0.10 | 0% | 1 Aug → | ||
| 13–2 | 0.07 | 12% | 1 Aug → | ||
| 13–0 | 0.05 | 25% | 1 Aug → | ||
| 13–9 | -0.03 | 10% | 1 Aug → | ||
| 13–4 | 0.07 | 44% | 1 Aug → | ||
| 13–11 | 0.02 | 24% | 29 Jul → | ||
| 13–6 | 0.03 | 13% | 29 Jul → | ||
| 9–13 | 0.02 | 11% | 29 Jul → | ||
| 5–13 | -0.01 | 3% | 29 Jul → | ||
| 13–2 | 0.06 | 16% | 29 Jul → | ||
| boulder | 12–12 | -0.04 | 14% | 28 Jul → | |
| 12–12 | 0.06 | 11% | 28 Jul → | ||
| 15–15 | 0.06 | 17% | 27 Jul → | ||
| 8–13 | -0.02 | 28% | 27 Jul → | ||
| 9–13 | -0.03 | 13% | 27 Jul → | ||
| 4–13 | -0.06 | 20% | 27 Jul → | ||
| 13–3 | -0.07 | 9% | 27 Jul → | ||
| 5–13 | 0.00 | 10% | 26 Jul → | ||
| 10–13 | -0.02 | 17% | 26 Jul → | ||
| office | 7–13 | -0.06 | 36% | 26 Jul → | |
| 13–9 | -0.04 | 13% | 25 Jul → | ||
| 2–13 | 0.02 | 6% | 24 Jul → | ||
| 8–13 | -0.03 | 14% | 21 Jul → | ||
| shelter | 13–8 | -0.04 | 12% | 21 Jul → | |
| 13–6 | -0.04 | 17% | 21 Jul → | ||
| office | 3–13 | 0.04 | 33% | 20 Jul → | |
| 8–13 | -0.09 | 9% | 20 Jul → | ||
| 13–11 | -0.08 | 3% | 18 Jul → | ||
| 12–12 | 0.04 | 13% | 18 Jul → | ||
| 13–9 | 0.14 | 23% | 17 Jul → | ||
| 13–7 | 0.01 | 19% | 17 Jul → | ||
| 11–13 | -0.02 | 18% | 17 Jul → |
Match data via Leetify.