-Scoop — CS2 Stats
76561198027490642[U:1:67224914]
How this compares with the same rank
Median values for Level 9 among CSDB-tracked players (n=1,109), 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 | Level 9 median | Level 10 median | vs Level 10 |
|---|---|---|---|---|
| Headshot rate | 44.1% | 49.0% | 52.0% | 7.9% short |
| Shot accuracy | 13.5% | 13.1% | 13.7% | meets |
| Kill/death ratio | 1.03 | 1.08 | 1.08 | 0.05 short |
| Match win rate | 51.3% | 46.9% | 48.8% | above |
This profile matches the typical Level 10 player on 2 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 10 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: +10pp win rate · -0.00 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 86% playstyle similarity
Most alike: opening-duel success, utility contribution.
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 48% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.
Counter-strafing. Only 56% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 |
|---|---|---|---|---|---|
| A | 34 | 19–15 | 56% | -0.00 | |
| A | 20 | 11–9 | 55% | 0.00 | |
| A | 16 | 10–6 | 63% | -0.00 | |
| C | 16 | 7–9 | 44% | -0.01 | |
| B | 6 | 3–3 | 50% | -0.00 | |
| S | 5 | 5–0 | 100% | -0.03 | |
| — | 3 | 1–2 | 33% | -0.00 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (44% over 16). 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 189 | 57% | 1.03 | 14.9 |
| Dust2 | 155 | 51% | 0.94 | 14.0 |
| Nuke | 117 | 44% | 0.94 | 13.8 |
| Anubis | 111 | 52% | 1.02 | 14.5 |
| Overpass | 47 | 60% | 1.00 | 13.9 |
| Mirage | 31 | 39% | 0.88 | 11.8 |
| Cache | 29 | 55% | 0.95 | 13.3 |
| Train | 28 | 43% | 0.92 | 12.8 |
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.
- 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 0.3669 — 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 28.1733% — 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.
44% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 8–13 | -0.03 | 29% | 28 Aug → | ||
| 9–13 | 0.00 | 26% | 27 Aug → | ||
| 7–13 | -0.04 | 16% | 26 Aug → | ||
| 13–3 | -0.05 | 22% | 25 Aug → | ||
| 13–10 | 0.03 | 20% | 24 Aug → | ||
| 9–13 | -0.03 | 17% | 24 Aug → | ||
| 13–2 | 0.14 | 14% | 24 Aug → | ||
| 13–16 | -0.02 | 15% | 21 Aug → | ||
| 13–4 | 0.08 | 18% | 21 Aug → | ||
| 13–11 | -0.01 | 21% | 20 Aug → | ||
| 13–5 | 0.09 | 14% | 20 Aug → | ||
| 13–3 | -0.01 | 26% | 20 Aug → | ||
| 17–19 | -0.02 | 12% | 19 Aug → | ||
| 11–13 | 0.03 | 22% | 19 Aug → | ||
| 16–19 | 0.01 | 24% | 19 Aug → | ||
| 5–13 | 0.04 | 16% | 6 Jul → | ||
| 13–4 | 0.03 | 19% | 6 Jul → | ||
| 13–7 | 0.06 | 19% | 5 Jul → | ||
| 2–13 | -0.04 | 20% | 5 Jul → | ||
| 4–13 | -0.10 | 17% | 5 Jul → | ||
| 7–13 | -0.02 | 19% | 29 Jun → | ||
| 5–13 | -0.04 | 11% | 29 Jun → | ||
| 10–13 | 0.02 | 17% | 10 Jun → | ||
| 7–13 | -0.05 | 14% | 9 Jun → | ||
| 13–7 | 0.06 | 16% | 7 Jun → | ||
| 13–10 | -0.06 | 9% | 4 Jun → | ||
| 13–4 | -0.04 | 17% | 4 Jun → | ||
| 13–11 | -0.03 | 20% | 4 Jun → | ||
| 16–19 | -0.02 | 27% | 4 Jun → | ||
| 13–9 | 0.01 | 21% | 3 Jun → | ||
| 13–9 | 0.01 | 19% | 3 Jun → | ||
| 13–10 | 0.02 | 16% | 2 Jun → | ||
| 13–10 | 0.02 | 16% | 2 Jun → | ||
| 13–3 | 0.01 | 6% | 31 May → | ||
| 11–13 | 0.00 | 5% | 31 May → | ||
| 14–16 | -0.07 | 0% | 28 May → | ||
| 13–11 | -0.04 | 21% | 27 May → | ||
| 13–5 | 0.03 | 11% | 26 May → | ||
| 13–4 | 0.06 | 20% | 26 May → | ||
| 14–16 | -0.04 | 19% | 25 May → | ||
| 13–3 | -0.00 | 30% | 25 May → | ||
| 13–11 | -0.02 | 14% | 25 May → | ||
| 9–13 | 0.01 | 23% | 25 May → | ||
| 13–4 | 0.02 | 16% | 25 May → | ||
| 13–8 | 0.01 | 17% | 24 May → | ||
| 9–13 | -0.00 | 10% | 18 May → | ||
| 13–9 | -0.02 | 26% | 17 May → | ||
| 13–7 | 0.08 | 16% | 15 May → | ||
| 11–13 | 0.05 | 17% | 15 May → | ||
| 16–19 | -0.02 | 17% | 14 May → | ||
| 13–8 | -0.05 | 14% | 14 May → | ||
| 16–14 | -0.04 | 13% | 13 May → | ||
| 13–9 | -0.05 | 18% | 13 May → | ||
| 13–7 | 0.00 | 8% | 13 May → | ||
| 10–13 | 0.00 | 25% | 11 May → | ||
| 13–5 | -0.02 | 23% | 11 May → | ||
| 3–13 | -0.03 | 21% | 11 May → | ||
| 13–8 | 0.08 | 16% | 10 May → | ||
| 4–13 | -0.04 | 38% | 10 May → | ||
| 13–8 | 0.01 | 17% | 7 May → | ||
| 13–1 | 0.05 | 8% | 7 May → | ||
| 13–6 | 0.05 | 27% | 7 May → | ||
| 13–4 | 0.00 | 12% | 7 May → | ||
| 13–7 | -0.03 | 21% | 7 May → | ||
| 13–5 | 0.04 | 25% | 7 May → | ||
| 13–16 | -0.05 | 30% | 7 May → | ||
| 13–7 | 0.00 | 29% | 6 May → | ||
| 8–13 | -0.05 | 10% | 28 Apr → | ||
| 8–13 | -0.04 | 14% | 28 Apr → | ||
| 13–10 | 0.04 | 25% | 27 Apr → | ||
| 11–13 | -0.04 | 11% | 27 Apr → | ||
| 13–5 | -0.03 | 10% | 27 Apr → | ||
| 13–4 | -0.02 | 22% | 27 Apr → | ||
| 13–6 | 0.01 | 14% | 27 Apr → | ||
| 13–11 | -0.02 | 7% | 26 Apr → | ||
| 13–11 | -0.01 | 20% | 25 Apr → | ||
| 6–13 | 0.00 | 12% | 24 Apr → | ||
| 15–15 | 0.03 | 15% | 19 Apr → | ||
| 10–13 | -0.01 | 23% | 18 Apr → | ||
| 19–15 | 0.04 | 10% | 17 Apr → | ||
| 13–8 | 0.03 | 13% | 17 Apr → | ||
| 2–13 | -0.09 | 33% | 16 Apr → | ||
| 4–13 | 0.01 | 15% | 16 Apr → | ||
| 13–8 | -0.04 | 26% | 16 Apr → | ||
| 7–13 | -0.06 | 11% | 16 Apr → | ||
| 13–2 | 0.04 | 43% | 16 Apr → | ||
| 13–1 | 0.03 | 27% | 16 Apr → | ||
| 13–10 | -0.01 | 18% | 13 Apr → | ||
| 13–2 | -0.01 | 20% | 13 Apr → | ||
| 1–13 | -0.01 | 14% | 13 Apr → | ||
| 13–9 | -0.01 | 19% | 13 Apr → | ||
| 5–13 | 0.01 | 32% | 13 Apr → | ||
| 13–9 | 0.00 | 15% | 13 Apr → | ||
| 8–13 | -0.03 | 18% | 12 Apr → | ||
| 13–10 | 0.05 | 16% | 12 Apr → | ||
| 9–13 | -0.02 | 33% | 12 Apr → | ||
| 7–13 | -0.08 | 25% | 12 Apr → | ||
| 9–13 | 0.01 | 18% | 11 Apr → | ||
| 6–13 | -0.01 | 23% | 11 Apr → | ||
| 5–13 | -0.06 | 17% | 11 Apr → |
Match data via Leetify.
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