jp — CS2 Stats
76561197995256683[U:1:34990955]
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 | 49.4% | 49.0% | 52.0% | 2.6% short |
| Shot accuracy | 9.5% | 13.1% | 13.7% | 4.2% short |
| Kill/death ratio | 1.21 | 1.08 | 1.08 | above |
| Match win rate | 49.4% | 46.9% | 48.8% | meets |
This profile matches the typical Level 10 player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. 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
Primary style: Passive 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 NiKo 93% 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 51% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.
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 5.9/10 (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 |
|---|---|---|---|---|---|
| A | 25 | 16–9 | 64% | 0.01 | |
| B | 22 | 10–12 | 45% | 0.01 | |
| C | 16 | 6–10 | 38% | 0.01 | |
| D | 13 | 4–9 | 31% | -0.00 | |
| A | 9 | 5–4 | 56% | 0.00 | |
| A | 7 | 4–3 | 57% | 0.01 | |
| C | 5 | 2–3 | 40% | 0.01 | |
| — | 3 | 0–3 | 0% | -0.01 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Ancient 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 resultsWWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 71 | 49% | 1.15 | 15.2 |
| Dust2 | 63 | 62% | 1.15 | 14.7 |
| Ancient | 58 | 52% | 1.23 | 16.7 |
| Inferno | 54 | 50% | 1.25 | 15.9 |
| Anubis | 51 | 39% | 1.10 | 15.7 |
| Nuke | 25 | 52% | 1.07 | 14.6 |
| Overpass | 23 | 70% | 1.20 | 14.2 |
| Cache | 18 | 61% | 1.14 | 15.0 |
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.
- 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 23.9181% — 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.
31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 7–13 | -0.01 | 38% | 28 Aug → | ||
| 13–10 | -0.06 | 9% | 27 Aug → | ||
| 10–13 | -0.03 | 19% | 27 Aug → | ||
| 9–13 | -0.01 | 16% | 24 Aug → | ||
| 13–9 | -0.03 | 12% | 24 Aug → | ||
| 13–2 | 0.03 | 8% | 24 Aug → | ||
| 13–2 | 0.13 | 16% | 23 Aug → | ||
| 9–13 | -0.02 | 14% | 23 Aug → | ||
| 10–13 | 0.02 | 15% | 22 Aug → | ||
| 16–12 | 0.03 | 23% | 22 Aug → | ||
| 10–13 | -0.03 | 11% | 19 Aug → | ||
| 15–15 | -0.01 | 9% | 16 Aug → | ||
| 9–13 | -0.03 | 27% | 16 Aug → | ||
| 13–2 | 0.03 | 5% | 16 Aug → | ||
| 13–2 | 0.03 | 15% | 16 Aug → | ||
| 19–16 | -0.02 | 14% | 15 Aug → | ||
| 6–13 | 0.03 | 15% | 13 Aug → | ||
| 9–13 | -0.00 | 20% | 11 Aug → | ||
| 13–5 | 0.03 | 11% | 9 Aug → | ||
| 8–13 | -0.02 | 16% | 7 Aug → | ||
| 11–13 | -0.03 | 15% | 5 Aug → | ||
| 11–13 | 0.02 | 22% | 5 Aug → | ||
| 9–13 | -0.03 | 23% | 5 Aug → | ||
| 8–13 | 0.01 | 8% | 5 Aug → | ||
| 5–13 | -0.06 | 34% | 4 Aug → | ||
| 10–13 | 0.02 | 14% | 2 Aug → | ||
| 13–5 | -0.00 | 19% | 31 Jul → | ||
| 13–7 | 0.00 | 26% | 31 Jul → | ||
| 13–11 | 0.03 | 23% | 30 Jul → | ||
| 16–12 | 0.08 | 20% | 28 Jul → | ||
| 16–12 | -0.01 | 10% | 28 Jul → | ||
| 13–4 | 0.06 | 28% | 6 Jul → | ||
| 10–13 | -0.04 | 11% | 6 Jul → | ||
| 10–13 | -0.04 | 12% | 2 Apr → | ||
| 13–10 | 0.02 | 4% | 2 Apr → | ||
| 6–13 | 0.02 | 17% | 30 Mar → | ||
| 13–11 | 0.04 | 12% | 30 Mar → | ||
| 13–4 | 0.03 | 13% | 30 Mar → | ||
| 13–5 | 0.10 | 10% | 30 Mar → | ||
| 13–6 | 0.07 | 21% | 29 Mar → | ||
| 13–8 | -0.05 | 24% | 29 Mar → | ||
| 9–13 | -0.00 | 17% | 28 Mar → | ||
| 13–9 | 0.04 | 13% | 28 Mar → | ||
| 13–5 | 0.07 | 19% | 28 Mar → | ||
| 6–13 | 0.00 | 16% | 28 Mar → | ||
| 13–8 | 0.07 | 22% | 27 Mar → | ||
| 9–13 | -0.04 | 15% | 27 Mar → | ||
| 13–0 | 0.06 | 15% | 27 Mar → | ||
| 13–8 | 0.01 | 21% | 27 Mar → | ||
| 9–13 | 0.11 | 16% | 22 Mar → | ||
| 11–13 | 0.02 | 26% | 22 Mar → | ||
| 13–8 | 0.03 | 16% | 22 Mar → | ||
| 15–15 | -0.00 | 16% | 19 Mar → | ||
| 13–7 | 0.01 | 21% | 19 Mar → | ||
| 9–13 | -0.06 | 12% | 19 Mar → | ||
| 10–13 | 0.01 | 26% | 14 Mar → | ||
| 13–6 | 0.09 | 17% | 14 Mar → | ||
| 7–13 | -0.03 | 6% | 14 Mar → | ||
| 6–13 | -0.06 | 17% | 14 Mar → | ||
| 13–10 | -0.04 | 11% | 5 Mar → | ||
| 6–13 | -0.08 | 6% | 5 Mar → | ||
| 10–13 | 0.01 | 13% | 5 Mar → | ||
| 7–13 | 0.07 | 14% | 27 Feb → | ||
| 16–13 | 0.02 | 22% | 27 Feb → | ||
| 13–2 | -0.03 | 13% | 27 Feb → | ||
| 7–13 | 0.02 | 20% | 27 Feb → | ||
| 13–3 | 0.07 | 21% | 26 Feb → | ||
| 13–8 | -0.01 | 27% | 26 Feb → | ||
| 13–6 | 0.05 | 21% | 26 Feb → | ||
| 1–13 | -0.04 | 6% | 25 Feb → | ||
| 11–13 | 0.04 | 18% | 25 Feb → | ||
| 11–13 | -0.07 | 16% | 25 Feb → | ||
| 10–13 | 0.04 | 10% | 22 Feb → | ||
| 13–8 | -0.07 | 15% | 22 Feb → | ||
| 8–13 | 0.00 | 18% | 21 Feb → | ||
| 7–13 | -0.00 | 23% | 20 Feb → | ||
| 9–13 | -0.02 | 22% | 20 Feb → | ||
| 13–7 | 0.05 | 11% | 20 Feb → | ||
| 13–8 | 0.02 | 15% | 20 Feb → | ||
| 3–13 | -0.01 | 19% | 19 Feb → | ||
| 13–4 | 0.04 | 18% | 19 Feb → | ||
| 10–13 | -0.00 | 15% | 19 Feb → | ||
| 13–3 | 0.10 | 18% | 19 Feb → | ||
| 13–10 | 0.05 | 18% | 18 Feb → | ||
| 13–11 | -0.03 | 19% | 18 Feb → | ||
| 5–13 | 0.01 | 23% | 18 Feb → | ||
| 10–13 | -0.03 | 24% | 17 Feb → | ||
| 13–5 | -0.00 | 31% | 17 Feb → | ||
| 13–16 | 0.06 | 15% | 17 Feb → | ||
| 8–13 | -0.02 | 6% | 17 Feb → | ||
| 11–13 | 0.01 | 22% | 16 Feb → | ||
| 10–13 | -0.04 | 10% | 16 Feb → | ||
| 13–9 | 0.08 | 12% | 16 Feb → | ||
| 13–4 | 0.01 | 32% | 16 Feb → | ||
| 1–13 | 0.01 | 21% | 15 Feb → | ||
| 6–13 | -0.02 | 19% | 15 Feb → | ||
| 7–13 | -0.01 | 15% | 15 Feb → | ||
| 13–9 | 0.04 | 19% | 15 Feb → | ||
| 12–16 | -0.01 | 19% | 15 Feb → | ||
| 13–6 | -0.01 | 8% | 15 Feb → |
Match data via Leetify.