hinato — CS2 Stats
76561197999720385[U:1:39454657]Steam profile ↗
Rating over time
Faceit ELO
- At peak — 3,062
- Next: 3,500 ELO at 3,500 — 438 to go
- Reached: 3,000 ELO · 2,500 ELO · Level 10 · Level 9
- 3,000 ELO first seen 2026-08-28
- 2,500 ELO first seen 2026-08-28
Premier CS Rating
- At peak — 20,395
- Next: Red band at 25,000 — 4,605 to go
- Reached: Pink band · Purple band · Blue band · Light Blue band
- Pink band first seen 2026-08-28
- Purple band first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), 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 10 median |
|---|---|---|
| Headshot rate | 46.9% | 52.8% |
| Shot accuracy | 15.2% | 13.7% |
| Kill/death ratio | 1.00 | 1.08 |
| Match win rate | 49.8% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -40pp win rate · -0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerHigh utility contribution
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 93% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: higher utility contribution.
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
Utility. Utility score of 77 — grenade impact well above the norm.
Areas to improve
Preaim. Mechanical aim is strong but the crosshair sits 11.2° off target when enemies appear — placement, not flicking, is the bigger win available.
Reaction time. 561ms 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 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 | B | 24 | 11–13 | 46% | 0.00 |
 ancient | B | 20 | 10–10 | 50% | 0.01 |
 inferno | C | 19 | 7–12 | 37% | -0.01 |
 mirage | A | 17 | 10–7 | 59% | 0.01 |
 anubis | A | 8 | 5–3 | 63% | 0.02 |
 overpass | C | 5 | 2–3 | 40% | 0.01 |
 cache | — | 3 | 1–2 | 33% | -0.01 |
 nuke | — | 2 | 2–0 | 100% | -0.00 |
 train | — | 2 | 1–1 | 50% | 0.00 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (37% over 19). 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 |
|---|---|---|---|---|
| Mirage | 1159 | 54% | 1.10 | 17.1 |
| Ancient | 770 | 50% | 1.06 | 16.8 |
| Dust2 | 707 | 52% | 1.10 | 16.9 |
| Anubis | 665 | 52% | 1.08 | 17.0 |
| Inferno | 461 | 57% | 1.16 | 17.7 |
| Nuke | 177 | 50% | 1.01 | 16.0 |
| Vertigo | 134 | 45% | 0.98 | 15.3 |
| Overpass | 81 | 52% | 1.07 | 17.7 |
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 38.8047% — 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.
37% win rate across 19 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 | 14% | 14 Aug → | |
| inferno | 3–13 | -0.04 | 8% | 14 Aug → | |
| cache | 6–13 | 0.01 | 17% | 13 Aug → | |
| ancient | 3–13 | -0.01 | 14% | 12 Aug → | |
| anubis | 13–8 | -0.02 | 17% | 7 Aug → | |
| dust2 | 11–13 | -0.01 | 20% | 7 Aug → | |
| mirage | 3–13 | -0.03 | 23% | 6 Aug → | |
| anubis | 10–13 | 0.01 | 15% | 29 Jul → | |
| inferno | 8–13 | -0.06 | 26% | 25 Jul → | |
| inferno | 11–13 | -0.01 | 29% | 24 Jul → | |
| anubis | 13–9 | 0.09 | 23% | 24 Jul → | |
| cache | 13–9 | -0.02 | 26% | 24 Jul → | |
| mirage | 4–13 | -0.00 | 27% | 23 Jul → | |
| anubis | 16–13 | 0.03 | 25% | 22 Jul → | |
| inferno | 13–9 | 0.02 | 23% | 21 Jul → | |
| ancient | 13–10 | -0.01 | 18% | 15 Jul → | |
| inferno | 4–13 | -0.02 | 33% | 13 Jul → | |
| inferno | 10–13 | -0.04 | 36% | 11 Jul → | |
| anubis | 8–13 | -0.04 | 28% | 7 Jul → | |
| ancient | 11–13 | 0.01 | 25% | 1 Jul → | |
| inferno | 13–11 | 0.03 | 22% | 28 Jun → | |
| dust2 | 13–9 | -0.02 | 24% | 27 Jun → | |
| inferno | 25–22 | 0.03 | 20% | 22 Jun → | |
| ancient | 13–3 | 0.07 | 28% | 22 Jun → | |
| ancient | 5–13 | -0.04 | 26% | 17 Jun → | |
| anubis | 13–5 | 0.07 | 20% | 16 Jun → | |
| ancient | 10–13 | 0.00 | 25% | 5 Jun → | |
| inferno | 10–13 | 0.02 | 32% | 29 May → | |
| inferno | 9–13 | -0.01 | 14% | 9 May → | |
| dust2 | 13–11 | -0.04 | 18% | 8 May → | |
| dust2 | 13–10 | 0.05 | 17% | 8 May → | |
| dust2 | 13–8 | 0.03 | 27% | 7 May → | |
| ancient | 9–13 | -0.01 | 31% | 29 Apr → | |
| cache | 13–16 | -0.02 | 33% | 29 Apr → | |
| inferno | 13–9 | 0.11 | 28% | 24 Apr → | |
| ancient | 19–15 | -0.05 | 33% | 30 Mar → | |
| inferno | 7–13 | -0.07 | 39% | 28 Mar → | |
| mirage | 7–13 | -0.01 | 21% | 7 Mar → | |
| mirage | 13–8 | 0.00 | 18% | 23 Feb → | |
| mirage | 13–10 | 0.01 | 29% | 18 Feb → | |
| dust2 | 3–13 | -0.09 | 25% | 17 Feb → | |
| mirage | 13–10 | 0.01 | 37% | 13 Feb → | |
| inferno | 13–11 | 0.05 | 30% | 7 Feb → | |
| anubis | 13–10 | 0.01 | 19% | 1 Feb → | |
| dust2 | 18–22 | 0.01 | 19% | 25 Jan → | |
| mirage | 13–10 | -0.03 | 20% | 19 Jan → | |
| nuke | 16–14 | 0.02 | 21% | 19 Jan → | |
| anubis | 5–13 | 0.03 | 25% | 17 Jan → | |
| dust2 | 6–13 | 0.00 | 30% | 11 Jan → | |
| overpass | 9–13 | -0.05 | 24% | 8 Jan → | |
| dust2 | 8–13 | -0.01 | 21% | 23 Dec → | |
| mirage | 13–16 | -0.01 | 22% | 17 Dec → | |
| ancient | 13–9 | 0.04 | 24% | 16 Dec → | |
| dust2 | 6–13 | -0.03 | 17% | 16 Dec → | |
| dust2 | 22–25 | 0.03 | 21% | 7 Dec → | |
| ancient | 13–4 | 0.01 | 17% | 1 Dec → | |
| mirage | 13–11 | -0.03 | 11% | 30 Nov → | |
| ancient | 7–13 | -0.02 | 17% | 26 Nov → | |
| dust2 | 13–10 | 0.04 | 23% | 24 Nov → | |
| ancient | 11–13 | 0.09 | 22% | 23 Nov → | |
| nuke | 16–12 | -0.02 | 12% | 19 Nov → | |
| mirage | 10–13 | -0.01 | 18% | 15 Nov → | |
| inferno | 4–13 | -0.08 | 16% | 14 Nov → | |
| ancient | 4–13 | -0.04 | 19% | 10 Nov → | |
| dust2 | 13–4 | 0.00 | 26% | 9 Nov → | |
| ancient | 13–4 | 0.03 | 31% | 6 Nov → | |
| dust2 | 13–8 | -0.03 | 15% | 1 Nov → | |
| dust2 | 10–13 | -0.02 | 30% | 28 Oct → | |
| mirage | 13–7 | 0.04 | 23% | 20 Oct → | |
| mirage | 7–13 | 0.04 | 25% | 18 Oct → | |
| overpass | 16–14 | -0.00 | 13% | 15 Oct → | |
| train | 8–13 | -0.01 | 31% | 14 Oct → | |
| dust2 | 13–7 | 0.06 | 32% | 10 Oct → | |
| dust2 | 13–9 | -0.00 | 13% | 8 Oct → | |
| inferno | 12–16 | -0.03 | 15% | 5 Oct → | |
| train | 13–8 | 0.01 | 36% | 5 Oct → | |
| inferno | 11–13 | -0.04 | 27% | 2 Oct → | |
| ancient | 13–7 | 0.09 | 19% | 30 Sept → | |
| mirage | 13–6 | 0.07 | 21% | 29 Sept → | |
| overpass | 8–13 | 0.04 | 26% | 21 Sept → | |
| inferno | 9–13 | -0.01 | 22% | 20 Sept → | |
| dust2 | 10–13 | 0.00 | 19% | 19 Sept → | |
| dust2 | 13–10 | 0.06 | 25% | 16 Sept → | |
| dust2 | 17–19 | 0.03 | 20% | 15 Sept → | |
| ancient | 16–19 | -0.01 | 16% | 6 Sept → | |
| inferno | 13–8 | 0.02 | 22% | 4 Sept → | |
| ancient | 13–16 | -0.04 | 13% | 31 Aug → | |
| mirage | 13–9 | 0.03 | 22% | 24 Aug → | |
| ancient | 13–10 | 0.00 | 11% | 17 Aug → | |
| mirage | 13–5 | 0.01 | 19% | 14 Aug → | |
| ancient | 13–10 | -0.00 | 23% | 13 Aug → | |
| overpass | 6–13 | 0.01 | 21% | 11 Aug → | |
| mirage | 13–11 | 0.02 | 22% | 11 Aug → | |
| dust2 | 13–3 | 0.03 | 25% | 7 Aug → | |
| ancient | 13–6 | 0.02 | 16% | 2 Aug → | |
| mirage | 4–13 | -0.04 | 23% | 1 Aug → | |
| overpass | 13–6 | 0.05 | 9% | 23 Jul → | |
| dust2 | 8–13 | -0.03 | 23% | 20 Jul → | |
| inferno | 19–15 | 0.01 | 20% | 20 Jul → | |
| dust2 | 14–16 | 0.00 | 27% | 17 Jul → |
Match data via Leetify.