subinho — CS2 Stats
76561198797590281[U:1:837324553]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 9 among CSDB-tracked players (n=2,911), 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 | 55.7% | 48.4% | 51.7% | above |
| Shot accuracy | 11.0% | 13.2% | 13.8% | 2.8% short |
| Kill/death ratio | 1.13 | 1.08 | 1.09 | above |
| Match win rate | 49.9% | 47.0% | 48.7% | above |
This profile matches the typical Level 10 player on 3 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: +0pp win rate · -0.04 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 b1t 89% playstyle similarity
Most alike: opening-duel success, 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
Areas to improve
Reaction time. 591ms 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 (×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 |
|---|---|---|---|---|---|
 dust2 | A | 37 | 22–15 | 59% | 0.02 |
 mirage | A | 31 | 19–12 | 61% | 0.02 |
 inferno | C | 10 | 4–6 | 40% | 0.02 |
 ancient | S | 9 | 6–3 | 67% | 0.01 |
 anubis | A | 7 | 4–3 | 57% | -0.01 |
 train | — | 4 | 2–2 | 50% | 0.01 |
 overpass | — | 2 | 0–2 | 0% | 0.03 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (40% over 10). 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 resultsLWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 192 | 49% | 1.18 | 17.7 |
| Ancient | 136 | 60% | 1.21 | 17.3 |
| Mirage | 136 | 49% | 1.16 | 17.6 |
| Anubis | 72 | 47% | 1.23 | 17.1 |
| Inferno | 60 | 52% | 1.13 | 17.4 |
| Train | 36 | 53% | 1.12 | 18.2 |
| Nuke | 22 | 50% | 1.04 | 18.6 |
| Overpass | 11 | 36% | 1.15 | 14.8 |
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.
- 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 36.1885% — 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.
40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 4–13 | -0.03 | 13% | 10 Jun → | |
| inferno | 22–18 | 0.03 | 15% | 30 May → | |
| anubis | 11–13 | -0.06 | 19% | 21 May → | |
| mirage | 13–4 | 0.05 | 26% | 21 May → | |
| mirage | 13–8 | 0.01 | 22% | 15 May → | |
| dust2 | 9–13 | 0.10 | 28% | 13 May → | |
| mirage | 14–16 | 0.03 | 22% | 28 Apr → | |
| overpass | 6–13 | -0.08 | 11% | 21 Apr → | |
| dust2 | 9–13 | 0.01 | 28% | 7 Mar → | |
| mirage | 13–1 | -0.05 | 12% | 2 Sept → | |
| dust2 | 4–13 | 0.06 | 21% | 4 Aug → | |
| mirage | 13–3 | 0.00 | 20% | 4 Aug → | |
| inferno | 12–12 | 0.04 | 34% | 2 Aug → | |
| mirage | 13–4 | 0.08 | 30% | 2 Aug → | |
| dust2 | 4–13 | 0.11 | 15% | 2 Aug → | |
| dust2 | 13–11 | 0.02 | 33% | 2 Aug → | |
| dust2 | 13–4 | -0.03 | 14% | 1 Aug → | |
| ancient | 6–13 | -0.06 | 20% | 31 Jul → | |
| overpass | 7–13 | 0.15 | 31% | 29 Jul → | |
| inferno | 11–6 | 0.06 | 26% | 28 Jul → | |
| train | 9–13 | -0.02 | 16% | 28 Jul → | |
| dust2 | 13–11 | 0.01 | 20% | 25 Jul → | |
| train | 13–5 | 0.06 | 30% | 12 Jul → | |
| dust2 | 10–13 | 0.06 | 21% | 12 Jul → | |
| dust2 | 6–13 | -0.03 | 24% | 11 Jul → | |
| inferno | 5–13 | 0.01 | 23% | 10 Jul → | |
| mirage | 13–7 | -0.04 | 15% | 26 Jun → | |
| dust2 | 13–9 | -0.02 | 17% | 4 Jun → | |
| mirage | 3–13 | -0.10 | 18% | 4 Jun → | |
| mirage | 16–13 | 0.05 | 15% | 3 Jun → | |
| mirage | 19–16 | -0.00 | 19% | 3 Jun → | |
| ancient | 1–13 | 0.00 | 23% | 31 May → | |
| ancient | 13–11 | 0.02 | 22% | 31 May → | |
| ancient | 13–10 | 0.03 | 15% | 31 May → | |
| dust2 | 8–13 | -0.02 | 21% | 31 May → | |
| dust2 | 13–11 | 0.00 | 17% | 29 May → | |
| mirage | 13–8 | 0.02 | 19% | 29 May → | |
| inferno | 16–12 | -0.03 | 12% | 28 May → | |
| ancient | 16–12 | 0.00 | 23% | 27 May → | |
| dust2 | 22–18 | 0.03 | 19% | 26 May → | |
| mirage | 7–13 | -0.01 | 23% | 11 May → | |
| dust2 | 13–7 | -0.04 | 15% | 11 May → | |
| dust2 | 0–5 | -0.06 | 0% | 11 May → | |
| dust2 | 13–7 | -0.04 | 19% | 9 May → | |
| anubis | 16–14 | -0.01 | 22% | 8 May → | |
| mirage | 12–12 | -0.01 | 20% | 6 May → | |
| mirage | 7–13 | -0.04 | 16% | 5 May → | |
| inferno | 6–13 | 0.03 | 16% | 3 May → | |
| dust2 | 13–8 | -0.01 | 19% | 3 May → | |
| inferno | 13–11 | -0.01 | 25% | 3 May → | |
| ancient | 13–4 | 0.05 | 25% | 28 Apr → | |
| dust2 | 16–12 | 0.04 | 29% | 28 Apr → | |
| mirage | 13–11 | 0.04 | 34% | 27 Apr → | |
| mirage | 11–13 | -0.01 | 20% | 25 Apr → | |
| inferno | 8–3 | 0.05 | 37% | 24 Apr → | |
| mirage | 13–4 | 0.06 | 37% | 24 Apr → | |
| anubis | 4–13 | 0.02 | 19% | 24 Apr → | |
| dust2 | 13–7 | 0.16 | 20% | 22 Apr → | |
| dust2 | 13–11 | -0.09 | 20% | 9 Apr → | |
| dust2 | 7–13 | 0.06 | 17% | 9 Apr → | |
| mirage | 13–3 | 0.04 | 32% | 9 Apr → | |
| anubis | 13–11 | -0.03 | 20% | 6 Apr → | |
| mirage | 11–13 | 0.03 | 29% | 3 Apr → | |
| mirage | 13–8 | 0.03 | 16% | 24 Mar → | |
| train | 13–10 | 0.01 | 38% | 24 Mar → | |
| ancient | 13–3 | 0.04 | 23% | 21 Mar → | |
| train | 11–13 | -0.01 | 32% | 17 Mar → | |
| ancient | 7–13 | -0.03 | 33% | 12 Mar → | |
| anubis | 4–13 | 0.01 | 11% | 12 Mar → | |
| dust2 | 6–13 | 0.00 | 30% | 4 Mar → | |
| ancient | 13–8 | 0.03 | 28% | 3 Mar → | |
| inferno | 10–13 | -0.02 | 30% | 2 Mar → | |
| dust2 | 13–10 | -0.08 | 20% | 22 Feb → | |
| anubis | 13–11 | -0.03 | 22% | 21 Feb → | |
| mirage | 12–12 | 0.07 | 24% | 16 Feb → | |
| mirage | 13–6 | 0.14 | 17% | 16 Feb → | |
| dust2 | 6–13 | -0.03 | 16% | 16 Feb → | |
| anubis | 13–3 | 0.04 | 36% | 16 Feb → | |
| dust2 | 13–9 | 0.01 | 23% | 16 Feb → | |
| mirage | 13–7 | 0.00 | 16% | 16 Feb → | |
| mirage | 9–13 | 0.06 | 19% | 15 Feb → | |
| dust2 | 13–8 | -0.02 | 25% | 15 Feb → | |
| mirage | 9–13 | -0.01 | 27% | 15 Feb → | |
| mirage | 0–13 | -0.06 | 75% | 15 Feb → | |
| inferno | 11–13 | 0.00 | 23% | 14 Feb → | |
| dust2 | 13–7 | 0.10 | 27% | 14 Feb → | |
| mirage | 8–13 | 0.01 | 17% | 14 Feb → | |
| mirage | 13–10 | 0.01 | 20% | 13 Feb → | |
| dust2 | 12–12 | 0.07 | 24% | 13 Feb → | |
| mirage | 12–5 | 0.01 | 27% | 13 Feb → | |
| dust2 | 13–11 | -0.04 | 29% | 13 Feb → | |
| dust2 | 10–13 | 0.03 | 30% | 12 Feb → | |
| dust2 | 13–5 | 0.09 | 30% | 9 Feb → | |
| dust2 | 13–5 | 0.02 | 21% | 9 Feb → | |
| dust2 | 13–8 | 0.06 | 32% | 6 Feb → | |
| dust2 | 13–11 | 0.04 | 20% | 28 Jan → | |
| mirage | 13–9 | 0.08 | 37% | 27 Jan → | |
| dust2 | 13–7 | 0.03 | 18% | 27 Jan → | |
| mirage | 10–2 | 0.10 | 15% | 27 Jan → | |
| dust2 | 10–13 | -0.01 | 23% | 24 Jan → |
Match data via Leetify.
