Hana san — CS2 Stats
76561198068002211[U:1:107736483]✓ No bans
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=3,007), 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 | 41.9% | 52.0% |
| Shot accuracy | 7.8% | 13.7% |
| Kill/death ratio | 1.41 | 1.08 |
| Match win rate | 56.4% | 48.8% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +40pp win rate · +0.06 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimerLimited 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 s1mple 92% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower 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
Aim. Aim score of 90 — the mechanical foundation is a clear strength.
CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
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 7.5/10 (Strong), 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 |
|---|---|---|---|---|---|
 inferno | A | 24 | 14–10 | 58% | 0.08 |
 nuke | A | 21 | 12–9 | 57% | 0.06 |
 ancient | B | 15 | 7–8 | 47% | 0.04 |
 anubis | C | 12 | 5–7 | 42% | 0.06 |
 train | S | 7 | 5–2 | 71% | 0.09 |
 cache | S | 5 | 4–1 | 80% | 0.10 |
 dust2 | — | 4 | 4–0 | 100% | 0.07 |
 overpass | — | 4 | 3–1 | 75% | 0.08 |
 vertigo | — | 3 | 1–2 | 33% | 0.02 |
 mirage | — | 2 | 2–0 | 100% | 0.04 |
| poseidon | — | 2 | 0–2 | 0% | -0.07 |
| sanctum | — | 1 | 0–1 | 0% | -0.00 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Anubis 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 resultsWLWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 203 | 51% | 1.40 | 21.3 |
| Anubis | 183 | 59% | 1.52 | 21.2 |
| Ancient | 154 | 49% | 1.36 | 20.1 |
| Nuke | 153 | 55% | 1.51 | 22.1 |
| Mirage | 88 | 47% | 1.30 | 19.3 |
| Train | 67 | 67% | 1.77 | 21.8 |
| Overpass | 53 | 57% | 1.49 | 19.8 |
| Vertigo | 30 | 67% | 1.73 | 21.4 |
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 0.3919 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 0–9 | -0.18 | 0% | 27 Aug → | |
| cache | 13–5 | 0.11 | 19% | 23 Aug → | |
| dust2 | 13–7 | 0.15 | 26% | 23 Aug → | |
| inferno | 13–7 | 0.19 | 27% | 23 Aug → | |
| nuke | 10–13 | 0.06 | 23% | 23 Aug → | |
| anubis | 13–10 | 0.15 | 32% | 19 Aug → | |
| ancient | 13–7 | 0.10 | 11% | 19 Aug → | |
| inferno | 13–3 | 0.23 | 17% | 19 Aug → | |
| nuke | 13–8 | 0.05 | 30% | 16 Aug → | |
| mirage | 13–2 | 0.01 | 13% | 16 Aug → | |
| inferno | 11–13 | 0.08 | 11% | 15 Aug → | |
| cache | 13–3 | 0.06 | 26% | 13 Aug → | |
| cache | 19–22 | 0.07 | 28% | 13 Aug → | |
| anubis | 13–11 | 0.01 | 9% | 12 Aug → | |
| ancient | 19–16 | 0.01 | 19% | 12 Aug → | |
| anubis | 7–13 | 0.03 | 27% | 12 Aug → | |
| cache | 13–4 | 0.14 | 34% | 12 Aug → | |
| anubis | 5–13 | 0.05 | 16% | 11 Aug → | |
| ancient | 20–22 | 0.10 | 16% | 10 Aug → | |
| inferno | 1–9 | -0.23 | 0% | 3 Aug → | |
| vertigo | 4–9 | -0.01 | 13% | 3 Aug → | |
| overpass | 6–9 | 0.07 | 21% | 3 Aug → | |
| nuke | 9–4 | 0.11 | 17% | 3 Aug → | |
| inferno | 9–7 | 0.12 | 36% | 3 Aug → | |
| ancient | 13–10 | 0.01 | 12% | 29 Jul → | |
| cache | 13–11 | 0.14 | 22% | 27 Jul → | |
| ancient | 13–8 | 0.06 | 24% | 26 Jul → | |
| ancient | 13–11 | 0.03 | 17% | 26 Jul → | |
| inferno | 11–13 | 0.03 | 13% | 25 Jul → | |
| inferno | 2–13 | 0.01 | 13% | 22 Jul → | |
| anubis | 5–13 | 0.03 | 15% | 14 Jul → | |
| ancient | 1–13 | -0.07 | 21% | 14 Jul → | |
| inferno | 7–13 | -0.02 | 21% | 9 Jul → | |
| inferno | 8–8 | -0.02 | 28% | 9 Jul → | |
| ancient | 13–10 | 0.05 | 8% | 3 Jul → | |
| mirage | 13–11 | 0.07 | 21% | 3 Jul → | |
| ancient | 11–13 | 0.08 | 36% | 2 Jul → | |
| inferno | 13–7 | 0.12 | 21% | 2 Jul → | |
| anubis | 13–8 | 0.07 | 14% | 2 Jul → | |
| dust2 | 13–7 | 0.02 | 17% | 2 Jul → | |
| poseidon | 3–9 | -0.14 | 0% | 29 Jun → | |
| poseidon | 2–9 | 0.01 | 14% | 29 Jun → | |
| sanctum | 8–8 | -0.00 | 18% | 29 Jun → | |
| vertigo | 9–2 | 0.06 | 38% | 29 Jun → | |
| vertigo | 6–9 | 0.00 | 23% | 29 Jun → | |
| overpass | 9–7 | 0.07 | 23% | 29 Jun → | |
| inferno | 9–2 | 0.16 | 47% | 29 Jun → | |
| nuke | 9–6 | 0.18 | 16% | 29 Jun → | |
| ancient | 11–13 | 0.04 | 10% | 27 Jun → | |
| ancient | 13–11 | 0.08 | 13% | 22 Jun → | |
| nuke | 5–13 | -0.04 | 10% | 13 Jun → | |
| nuke | 2–13 | 0.04 | 21% | 11 Jun → | |
| ancient | 11–13 | 0.06 | 13% | 12 Apr → | |
| nuke | 13–8 | 0.08 | 51% | 12 Apr → | |
| inferno | 9–4 | 0.16 | 23% | 10 Apr → | |
| anubis | 8–13 | 0.04 | 19% | 27 Mar → | |
| inferno | 13–6 | 0.05 | 17% | 19 Mar → | |
| inferno | 3–13 | -0.06 | 16% | 17 Mar → | |
| inferno | 2–13 | 0.03 | 32% | 15 Mar → | |
| train | 13–0 | 0.12 | 7% | 12 Mar → | |
| inferno | 13–11 | 0.05 | 17% | 12 Mar → | |
| ancient | 14–16 | 0.07 | 29% | 12 Mar → | |
| nuke | 13–11 | 0.02 | 26% | 12 Mar → | |
| inferno | 3–13 | 0.08 | 38% | 5 Mar → | |
| nuke | 8–8 | 0.13 | 18% | 27 Feb → | |
| inferno | 9–7 | 0.24 | 16% | 27 Feb → | |
| ancient | 9–13 | 0.07 | 29% | 27 Feb → | |
| dust2 | 13–9 | 0.00 | 30% | 26 Feb → | |
| nuke | 13–5 | 0.08 | 19% | 26 Feb → | |
| train | 13–11 | 0.17 | 28% | 25 Feb → | |
| train | 8–13 | 0.11 | 23% | 25 Feb → | |
| dust2 | 13–4 | 0.12 | 40% | 23 Feb → | |
| nuke | 13–3 | 0.16 | 26% | 23 Feb → | |
| anubis | 13–5 | 0.16 | 11% | 23 Feb → | |
| nuke | 2–8 | 0.01 | 40% | 23 Feb → | |
| train | 13–1 | 0.19 | 37% | 23 Feb → | |
| train | 13–10 | 0.05 | 35% | 22 Feb → | |
| inferno | 9–13 | 0.10 | 20% | 22 Feb → | |
| anubis | 10–13 | -0.02 | 15% | 18 Feb → | |
| inferno | 13–11 | 0.08 | 30% | 18 Feb → | |
| anubis | 12–12 | 0.08 | 17% | 11 Feb → | |
| anubis | 13–11 | 0.06 | 20% | 8 Feb → | |
| ancient | 7–13 | -0.07 | 10% | 8 Feb → | |
| inferno | 13–10 | 0.10 | 22% | 24 Jan → | |
| nuke | 13–8 | 0.17 | 13% | 24 Jan → | |
| anubis | 13–16 | 0.09 | 27% | 12 Jan → | |
| nuke | 8–13 | 0.07 | 13% | 4 Jan → | |
| overpass | 13–10 | 0.09 | 6% | 15 Dec → | |
| train | 13–9 | 0.04 | 36% | 11 Dec → | |
| nuke | 11–13 | 0.09 | 13% | 10 Dec → | |
| overpass | 13–6 | 0.10 | 12% | 29 Nov → | |
| inferno | 19–17 | 0.04 | 18% | 27 Nov → | |
| inferno | 13–5 | 0.15 | 18% | 26 Nov → | |
| nuke | 9–2 | 0.12 | 22% | 18 Nov → | |
| inferno | 9–5 | 0.13 | 3% | 18 Nov → | |
| nuke | 13–3 | 0.03 | 24% | 17 Nov → | |
| nuke | 1–9 | -0.10 | 33% | 8 Nov → | |
| nuke | 9–1 | 0.28 | 13% | 26 Oct → | |
| nuke | 19–16 | 0.01 | 22% | 1 Aug → | |
| train | 6–13 | -0.03 | 18% | 21 Jul → |
Match data via Leetify.