jp — CS2 Stats
US76561199696165411[U:1:1735899683]Steam profile ↗
How this compares with the same rank
Median values for Level 3 among CSDB-tracked players (n=607), 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 3 median | Level 4 median | vs Level 4 |
|---|---|---|---|---|
| Headshot rate | 44.9% | 42.1% | 42.5% | above |
| Shot accuracy | 0.0% | 12.1% | 10.9% | 10.9% short |
| Kill/death ratio | 0.90 | 0.99 | 0.99 | 0.09 short |
| Match win rate | 45.7% | 43.9% | 44.2% | above |
This profile matches the typical Level 4 player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 4 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 · +0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side openerEffective flashesLimited 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 ropz 87% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: lower opening-duel success; 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
Flashes. 0.96 enemies blinded per flash — utility that consistently lands.
Areas to improve
T-side openings. Opening success drops from 50% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 644ms 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 5.7/10 (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 57 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 |
|---|---|---|---|---|---|
 dust2 | B | 20 | 9–11 | 45% | -0.01 |
 mirage | C | 11 | 4–7 | 36% | -0.03 |
 inferno | D | 6 | 2–4 | 33% | -0.02 |
 ancient | — | 4 | 1–3 | 25% | 0.01 |
 nuke | — | 4 | 3–1 | 75% | -0.01 |
 anubis | — | 4 | 2–2 | 50% | -0.02 |
 cache | — | 4 | 4–0 | 100% | -0.02 |
 train | — | 2 | 1–1 | 50% | 0.02 |
 vertigo | — | 1 | 1–0 | 100% | 0.01 |
| office | — | 1 | 1–0 | 100% | -0.01 |
Across the last 57 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (33% over 6). 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 resultsWLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 14 | 36% | 0.77 | 11.3 |
| Mirage | 11 | 45% | 0.75 | 11.1 |
| Inferno | 8 | 38% | 0.77 | 12.9 |
| Nuke | 7 | 71% | 1.05 | 15.1 |
| Cache | 6 | 33% | 0.95 | 14.7 |
| Anubis | 3 | 0% | 0.69 | 10.3 |
| Vertigo | 3 | 67% | 0.87 | 13.3 |
| Ancient | 2 | 50% | 0.78 | 11.5 |
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 →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.399 — 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 27.7761% — 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.
33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 8–13 | -0.03 | 7% | 26 Aug → | |
| vertigo | 13–6 | 0.01 | 10% | 26 Aug → | |
| mirage | 13–8 | -0.05 | 16% | 24 Aug → | |
| ancient | 4–13 | -0.02 | 15% | 24 Aug → | |
| mirage | 8–13 | -0.02 | 11% | 22 Aug → | |
| nuke | 13–7 | -0.00 | 20% | 21 Aug → | |
| anubis | 9–13 | 0.01 | 5% | 19 Aug → | |
| mirage | 10–13 | 0.00 | 12% | 15 Aug → | |
| dust2 | 6–13 | -0.07 | 11% | 15 Aug → | |
| mirage | 8–13 | -0.07 | 22% | 14 Aug → | |
| dust2 | 13–8 | -0.03 | 22% | 12 Aug → | |
| inferno | 5–13 | -0.06 | 10% | 12 Aug → | |
| cache | 16–14 | 0.02 | 13% | 11 Aug → | |
| mirage | 7–13 | -0.04 | 8% | 10 Aug → | |
| inferno | 16–13 | -0.01 | 19% | 10 Aug → | |
| nuke | 2–13 | -0.10 | 21% | 9 Aug → | |
| inferno | 4–13 | -0.03 | 21% | 7 Aug → | |
| mirage | 3–6 | -0.05 | 25% | 7 Aug → | |
| dust2 | 5–13 | 0.00 | 32% | 6 Aug → | |
| dust2 | 7–13 | -0.05 | 3% | 6 Aug → | |
| cache | 16–13 | -0.09 | 9% | 5 Aug → | |
| mirage | 13–2 | -0.05 | 25% | 5 Aug → | |
| dust2 | 13–7 | -0.03 | 21% | 4 Aug → | |
| cache | 13–11 | -0.04 | 25% | 4 Aug → | |
| mirage | 13–8 | -0.02 | 10% | 4 Aug → | |
| dust2 | 13–7 | -0.01 | 26% | 4 Aug → | |
| ancient | 3–13 | 0.07 | 18% | 4 Aug → | |
| nuke | 13–7 | 0.02 | 11% | 3 Aug → | |
| anubis | 10–13 | -0.03 | 9% | 3 Aug → | |
| dust2 | 13–2 | 0.03 | 18% | 3 Aug → | |
| ancient | 10–13 | 0.01 | 15% | 3 Aug → | |
| dust2 | 13–9 | 0.04 | 24% | 3 Aug → | |
| dust2 | 3–13 | 0.00 | 28% | 3 Aug → | |
| dust2 | 13–7 | -0.07 | 16% | 1 Aug → | |
| train | 12–12 | -0.03 | 18% | 31 Jul → | |
| anubis | 13–7 | 0.00 | 19% | 30 Jul → | |
| mirage | 9–13 | -0.01 | 17% | 29 Jul → | |
| dust2 | 12–12 | -0.05 | 9% | 29 Jul → | |
| cache | 13–0 | 0.02 | 6% | 29 Jul → | |
| mirage | 7–13 | 0.06 | 13% | 29 Jul → | |
| nuke | 13–8 | 0.05 | 12% | 28 Jul → | |
| dust2 | 11–13 | 0.08 | 22% | 28 Jul → | |
| dust2 | 9–13 | 0.06 | 23% | 27 Jul → | |
| dust2 | 5–13 | -0.01 | 19% | 27 Jul → | |
| dust2 | 13–8 | 0.01 | 16% | 25 Jul → | |
| inferno | 5–13 | -0.05 | 10% | 25 Jul → | |
| dust2 | 13–9 | 0.06 | 6% | 20 Jul → | |
| ancient | 13–8 | -0.03 | 11% | 18 Jul → | |
| train | 13–6 | 0.08 | 14% | 17 Jul → | |
| dust2 | 11–13 | -0.02 | 20% | 16 Jul → | |
| mirage | 13–7 | -0.12 | 10% | 22 Feb → | |
| dust2 | 6–13 | -0.06 | 6% | 23 Jun → | |
| office | 13–11 | -0.01 | 16% | 20 Jun → | |
| anubis | 13–1 | -0.06 | 26% | 3 Jun → | |
| dust2 | 13–5 | -0.01 | 12% | 28 Apr → | |
| inferno | 13–5 | 0.01 | 18% | 26 Apr → | |
| inferno | 5–13 | 0.01 | 24% | 24 Apr → |
Match data via Leetify.