scopi — CS2 Stats
IL76561199843555412[U:1:1883289684]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Purple band among CSDB-tracked players (n=5,002), 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 | Purple band median | Pink band median | vs Pink band |
|---|---|---|---|---|
| Headshot rate | 45.9% | 44.2% | 47.1% | 1.2% short |
| Shot accuracy | 0.0% | 11.6% | 12.8% | 12.8% short |
| Kill/death ratio | 1.11 | 1.03 | 1.08 | above |
| Match win rate | 48.5% | 45.2% | 46.6% | above |
This profile matches the typical Pink band player on 2 of 4 comparable metrics.
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: +20pp win rate · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 sh1ro 85% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
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 →
Strengths & areas to improve
Strengths
CT openings. 66% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 66% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 571ms 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 6.4/10 (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 |
|---|---|---|---|---|---|
 nuke | A | 43 | 24–19 | 56% | 0.06 |
 dust2 | A | 14 | 8–6 | 57% | 0.03 |
 cache | A | 11 | 7–4 | 64% | 0.08 |
 inferno | A | 11 | 6–5 | 55% | 0.03 |
 train | S | 6 | 6–0 | 100% | 0.08 |
 mirage | — | 4 | 2–2 | 50% | 0.01 |
| office | — | 4 | 4–0 | 100% | 0.06 |
 vertigo | — | 3 | 0–3 | 0% | 0.06 |
 anubis | — | 2 | 1–1 | 50% | 0.02 |
| poseidon | — | 1 | 1–0 | 100% | 0.02 |
| boulder | — | 1 | 1–0 | 100% | 0.15 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (55% over 11). 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 4 | 25% | 0.97 | 12.8 |
| Inferno | 1 | 100% | 1.15 | 15.0 |
| Nuke | 1 | 0% | 0.80 | 12.0 |
| Dust2 | 1 | 100% | 2.33 | 14.0 |
| Anubis | 1 | 0% | 1.20 | 18.0 |
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.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.2093% — below the 15% mark we flag
- 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 0.4588 — 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 38.8021% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 13–10 | 0.14 | 13% | 30 Aug → | |
| cache | 13–2 | 0.06 | 31% | 30 Aug → | |
| dust2 | 13–3 | 0.11 | 10% | 28 Aug → | |
| nuke | 13–9 | 0.02 | 17% | 28 Aug → | |
| nuke | 5–9 | 0.04 | 13% | 28 Aug → | |
| nuke | 13–1 | 0.09 | 15% | 28 Aug → | |
| inferno | 8–8 | -0.05 | 9% | 27 Aug → | |
| inferno | 9–6 | 0.04 | 17% | 27 Aug → | |
| cache | 13–7 | 0.17 | 16% | 27 Aug → | |
| nuke | 6–13 | 0.06 | 25% | 27 Aug → | |
| nuke | 10–13 | 0.07 | 10% | 26 Aug → | |
| cache | 12–12 | 0.19 | 16% | 26 Aug → | |
| nuke | 11–13 | -0.01 | 8% | 25 Aug → | |
| nuke | 9–13 | 0.03 | 8% | 25 Aug → | |
| nuke | 13–6 | 0.09 | 16% | 25 Aug → | |
| cache | 12–12 | 0.05 | 15% | 25 Aug → | |
| nuke | 13–8 | 0.12 | 15% | 24 Aug → | |
| dust2 | 13–8 | 0.09 | 6% | 24 Aug → | |
| nuke | 13–6 | 0.07 | 16% | 24 Aug → | |
| train | 13–10 | 0.05 | 20% | 23 Aug → | |
| nuke | 13–1 | 0.10 | 14% | 23 Aug → | |
| cache | 13–9 | 0.16 | 9% | 23 Aug → | |
| nuke | 3–13 | 0.06 | 13% | 22 Aug → | |
| nuke | 13–2 | 0.08 | 19% | 21 Aug → | |
| dust2 | 13–7 | 0.05 | 8% | 21 Aug → | |
| cache | 13–11 | 0.03 | 8% | 21 Aug → | |
| nuke | 7–13 | 0.16 | 13% | 21 Aug → | |
| nuke | 13–6 | 0.14 | 12% | 20 Aug → | |
| nuke | 7–3 | 0.08 | 21% | 19 Aug → | |
| nuke | 10–13 | -0.02 | 4% | 18 Aug → | |
| mirage | 8–13 | -0.05 | 22% | 18 Aug → | |
| nuke | 13–2 | -0.02 | 16% | 17 Aug → | |
| nuke | 13–9 | 0.05 | 12% | 17 Aug → | |
| dust2 | 13–5 | 0.05 | 30% | 17 Aug → | |
| nuke | 7–13 | 0.00 | 6% | 17 Aug → | |
| nuke | 13–8 | -0.02 | 13% | 17 Aug → | |
| nuke | 13–6 | 0.14 | 23% | 17 Aug → | |
| nuke | 12–12 | 0.05 | 21% | 17 Aug → | |
| cache | 13–1 | 0.07 | 7% | 16 Aug → | |
| nuke | 12–12 | 0.13 | 10% | 16 Aug → | |
| nuke | 10–13 | -0.01 | 12% | 15 Aug → | |
| nuke | 12–12 | 0.10 | 8% | 15 Aug → | |
| inferno | 9–7 | 0.10 | 16% | 15 Aug → | |
| inferno | 7–9 | -0.06 | 15% | 14 Aug → | |
| poseidon | 9–6 | 0.02 | 7% | 14 Aug → | |
| inferno | 9–4 | 0.01 | 17% | 14 Aug → | |
| inferno | 9–4 | 0.27 | 22% | 14 Aug → | |
| inferno | 4–9 | 0.01 | 15% | 14 Aug → | |
| nuke | 10–13 | 0.01 | 14% | 14 Aug → | |
| train | 13–7 | 0.07 | 21% | 14 Aug → | |
| train | 4–1 | 0.02 | 21% | 14 Aug → | |
| nuke | 13–5 | -0.03 | 5% | 13 Aug → | |
| cache | 14–16 | -0.04 | 10% | 13 Aug → | |
| dust2 | 8–13 | -0.05 | 14% | 13 Aug → | |
| nuke | 13–5 | 0.02 | 18% | 13 Aug → | |
| office | 13–10 | -0.05 | 19% | 13 Aug → | |
| train | 13–3 | 0.11 | 22% | 13 Aug → | |
| nuke | 13–2 | 0.08 | 14% | 12 Aug → | |
| nuke | 13–7 | 0.01 | 18% | 12 Aug → | |
| nuke | 6–13 | 0.00 | 14% | 7 Aug → | |
| nuke | 13–0 | 0.09 | 16% | 7 Aug → | |
| inferno | 7–13 | -0.02 | 13% | 7 Aug → | |
| dust2 | 13–10 | 0.09 | 14% | 7 Aug → | |
| office | 13–3 | 0.18 | 15% | 7 Aug → | |
| dust2 | 7–13 | 0.08 | 17% | 7 Aug → | |
| mirage | 13–5 | -0.01 | 9% | 6 Aug → | |
| train | 13–3 | 0.14 | 14% | 6 Aug → | |
| dust2 | 13–4 | 0.04 | 28% | 6 Aug → | |
| nuke | 3–7 | 0.09 | 12% | 6 Aug → | |
| vertigo | 10–13 | -0.02 | 11% | 6 Aug → | |
| anubis | 13–9 | -0.01 | 9% | 6 Aug → | |
| dust2 | 4–13 | -0.05 | 23% | 5 Aug → | |
| nuke | 5–13 | -0.02 | 3% | 4 Aug → | |
| dust2 | 13–8 | 0.08 | 14% | 4 Aug → | |
| cache | 8–13 | 0.11 | 13% | 4 Aug → | |
| nuke | 12–12 | 0.06 | 22% | 3 Aug → | |
| inferno | 13–10 | 0.02 | 7% | 3 Aug → | |
| vertigo | 10–13 | 0.18 | 21% | 1 Aug → | |
| mirage | 12–12 | 0.14 | 23% | 1 Aug → | |
| office | 13–9 | 0.00 | 26% | 1 Aug → | |
| nuke | 13–6 | 0.11 | 13% | 1 Aug → | |
| inferno | 12–16 | -0.03 | 14% | 31 Jul → | |
| nuke | 4–2 | -0.07 | 0% | 31 Jul → | |
| nuke | 13–1 | 0.14 | 23% | 31 Jul → | |
| train | 13–7 | 0.08 | 16% | 31 Jul → | |
| mirage | 13–7 | -0.06 | 9% | 31 Jul → | |
| boulder | 13–4 | 0.15 | 14% | 31 Jul → | |
| dust2 | 9–13 | 0.05 | 15% | 31 Jul → | |
| dust2 | 2–13 | -0.10 | 17% | 31 Jul → | |
| nuke | 13–6 | 0.01 | 20% | 30 Jul → | |
| nuke | 13–7 | 0.06 | 24% | 30 Jul → | |
| cache | 13–5 | 0.02 | 13% | 30 Jul → | |
| inferno | 13–11 | -0.01 | 22% | 30 Jul → | |
| anubis | 14–16 | 0.05 | 12% | 30 Jul → | |
| dust2 | 0–10 | -0.07 | 50% | 30 Jul → | |
| cache | 16–14 | 0.02 | 13% | 30 Jul → | |
| nuke | 8–13 | 0.06 | 15% | 30 Jul → | |
| vertigo | 2–13 | 0.02 | 20% | 30 Jul → | |
| office | 13–7 | 0.10 | 24% | 30 Jul → | |
| dust2 | 13–11 | 0.06 | 13% | 29 Jul → |
Match data via Leetify.
