Ami — CS2 Stats
PL76561198003244713[U:1:42978985]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 7 among CSDB-tracked players (n=1,762), 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 7 median | Level 8 median | vs Level 8 |
|---|---|---|---|---|
| Headshot rate | 39.4% | 46.1% | 47.0% | 7.6% short |
| Shot accuracy | 19.4% | 12.6% | 12.7% | above |
| Kill/death ratio | 0.89 | 1.05 | 1.07 | 0.18 short |
| Match win rate | 47.1% | 45.7% | 46.4% | meets |
This profile matches the typical Level 8 player on 2 of 4 comparable metrics.
Widest gap: Kill/death ratio. That is the metric furthest from the Level 8 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: +30pp win rate · +0.04 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 Twistzz 90% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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
Reaction time. 658ms 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 | B | 34 | 17–17 | 50% | -0.01 |
 mirage | C | 14 | 6–8 | 43% | 0.00 |
 inferno | D | 11 | 3–8 | 27% | 0.01 |
| office | B | 11 | 5–6 | 45% | -0.01 |
 anubis | S | 6 | 5–1 | 83% | -0.03 |
 train | B | 6 | 3–3 | 50% | 0.03 |
 cache | S | 5 | 4–1 | 80% | 0.02 |
 ancient | — | 4 | 0–4 | 0% | 0.00 |
 nuke | — | 4 | 0–4 | 0% | -0.04 |
 vertigo | — | 2 | 2–0 | 100% | -0.00 |
| alpine | — | 1 | 0–1 | 0% | -0.11 |
| warden | — | 1 | 1–0 | 100% | -0.03 |
 overpass | — | 1 | 0–1 | 0% | -0.04 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (27% over 11). 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 |
|---|---|---|---|---|
| Mirage | 12 | 42% | 1.12 | 15.5 |
| Inferno | 6 | 50% | 1.08 | 12.8 |
| Dust2 | 4 | 25% | 0.80 | 15.3 |
| Anubis | 4 | 75% | 1.50 | 20.0 |
| Vertigo | 3 | 33% | 0.67 | 10.7 |
| Overpass | 2 | 100% | 1.12 | 16.5 |
| Nuke | 2 | 0% | 0.48 | 10.5 |
| Ancient | 1 | 0% | 0.64 | 9.0 |
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 33.6579% — 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.
27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 7–13 | -0.02 | 12% | 3 Jun → | |
| mirage | 8–13 | -0.02 | 20% | 1 Jun → | |
| anubis | 13–6 | -0.07 | 9% | 1 Jun → | |
| anubis | 13–8 | 0.01 | 14% | 30 May → | |
| mirage | 13–11 | -0.00 | 24% | 24 May → | |
| inferno | 11–13 | 0.10 | 13% | 24 May → | |
| inferno | 6–13 | 0.02 | 27% | 24 May → | |
| dust2 | 10–13 | -0.03 | 18% | 24 May → | |
| office | 13–11 | 0.01 | 15% | 16 May → | |
| dust2 | 13–8 | -0.01 | 25% | 16 May → | |
| mirage | 5–13 | -0.05 | 9% | 16 May → | |
| cache | 13–6 | -0.02 | 14% | 16 May → | |
| inferno | 4–13 | -0.00 | 21% | 16 May → | |
| office | 10–13 | -0.03 | 18% | 16 May → | |
| office | 11–13 | -0.04 | 26% | 15 May → | |
| dust2 | 10–13 | -0.06 | 19% | 15 May → | |
| dust2 | 4–13 | -0.08 | 28% | 15 May → | |
| inferno | 7–13 | -0.07 | 11% | 9 May → | |
| dust2 | 7–13 | -0.10 | 23% | 9 May → | |
| cache | 13–6 | 0.02 | 15% | 9 May → | |
| cache | 13–3 | 0.06 | 20% | 9 May → | |
| ancient | 10–13 | -0.03 | 9% | 9 May → | |
| anubis | 13–8 | -0.05 | 17% | 9 May → | |
| dust2 | 7–13 | -0.05 | 18% | 8 May → | |
| ancient | 6–13 | 0.04 | 15% | 8 May → | |
| office | 13–11 | 0.03 | 14% | 8 May → | |
| inferno | 13–6 | -0.00 | 17% | 8 May → | |
| dust2 | 13–8 | 0.11 | 21% | 8 May → | |
| dust2 | 13–10 | 0.08 | 22% | 5 May → | |
| anubis | 13–2 | 0.07 | 15% | 4 May → | |
| nuke | 4–13 | -0.05 | 20% | 4 May → | |
| mirage | 13–1 | 0.03 | 10% | 3 May → | |
| cache | 13–5 | 0.08 | 31% | 3 May → | |
| cache | 8–13 | -0.06 | 16% | 2 May → | |
| ancient | 12–12 | 0.01 | 19% | 1 May → | |
| dust2 | 7–13 | -0.02 | 26% | 25 Apr → | |
| train | 5–13 | -0.00 | 13% | 25 Apr → | |
| train | 13–6 | 0.03 | 30% | 25 Apr → | |
| inferno | 12–12 | 0.03 | 7% | 18 Apr → | |
| nuke | 12–12 | -0.07 | 4% | 18 Apr → | |
| dust2 | 13–5 | -0.04 | 22% | 18 Apr → | |
| mirage | 9–13 | 0.02 | 7% | 4 Apr → | |
| inferno | 4–13 | -0.04 | 13% | 4 Apr → | |
| office | 13–10 | 0.00 | 15% | 4 Apr → | |
| dust2 | 13–5 | 0.05 | 9% | 2 Apr → | |
| inferno | 5–13 | -0.07 | 22% | 2 Apr → | |
| inferno | 6–13 | 0.04 | 15% | 2 Apr → | |
| dust2 | 13–3 | 0.01 | 10% | 2 Apr → | |
| dust2 | 9–13 | -0.09 | 9% | 31 Mar → | |
| dust2 | 10–13 | -0.01 | 32% | 31 Mar → | |
| dust2 | 10–13 | -0.08 | 21% | 26 Mar → | |
| mirage | 3–1 | 0.07 | 8% | 26 Mar → | |
| dust2 | 13–9 | -0.04 | 11% | 26 Mar → | |
| dust2 | 10–13 | 0.03 | 21% | 24 Mar → | |
| office | 13–4 | 0.09 | 20% | 24 Mar → | |
| dust2 | 13–4 | -0.03 | 27% | 23 Mar → | |
| office | 4–13 | -0.05 | 5% | 23 Mar → | |
| dust2 | 13–8 | -0.01 | 8% | 12 Mar → | |
| dust2 | 13–7 | -0.01 | 33% | 12 Mar → | |
| mirage | 2–9 | -0.08 | 13% | 12 Mar → | |
| dust2 | 13–5 | 0.04 | 24% | 12 Mar → | |
| office | 7–13 | 0.02 | 25% | 12 Mar → | |
| dust2 | 13–11 | 0.03 | 15% | 9 Mar → | |
| dust2 | 11–13 | -0.01 | 13% | 9 Mar → | |
| dust2 | 13–10 | 0.01 | 27% | 8 Mar → | |
| mirage | 1–13 | -0.09 | 7% | 6 Mar → | |
| alpine | 6–13 | -0.11 | 7% | 6 Mar → | |
| train | 2–13 | -0.06 | 29% | 28 Feb → | |
| dust2 | 13–8 | 0.06 | 10% | 23 Feb → | |
| dust2 | 13–4 | 0.07 | 28% | 23 Feb → | |
| nuke | 11–13 | -0.03 | 14% | 21 Feb → | |
| inferno | 13–8 | 0.05 | 22% | 13 Feb → | |
| dust2 | 13–10 | -0.03 | 19% | 13 Feb → | |
| warden | 13–8 | -0.03 | 15% | 8 Feb → | |
| anubis | 6–13 | -0.10 | 7% | 7 Feb → | |
| dust2 | 11–13 | 0.06 | 22% | 30 Jan → | |
| dust2 | 10–13 | 0.02 | 28% | 30 Jan → | |
| mirage | 13–3 | -0.02 | 16% | 30 Jan → | |
| mirage | 9–13 | 0.04 | 19% | 25 Jan → | |
| office | 13–8 | 0.00 | 24% | 25 Jan → | |
| office | 11–13 | -0.04 | 0% | 24 Jan → | |
| office | 2–13 | -0.07 | 8% | 23 Jan → | |
| dust2 | 4–13 | -0.06 | 16% | 17 Jan → | |
| dust2 | 11–13 | -0.06 | 19% | 16 Jan → | |
| mirage | 6–13 | -0.03 | 19% | 16 Jan → | |
| anubis | 13–2 | -0.02 | 31% | 16 Jan → | |
| train | 13–4 | 0.08 | 28% | 15 Jan → | |
| overpass | 2–13 | -0.04 | 5% | 15 Jan → | |
| ancient | 10–13 | -0.01 | 10% | 7 Jan → | |
| dust2 | 9–13 | -0.06 | 22% | 7 Jan → | |
| dust2 | 13–11 | -0.05 | 21% | 7 Jan → | |
| mirage | 13–1 | 0.02 | 15% | 5 Jan → | |
| nuke | 7–13 | -0.02 | 22% | 5 Jan → | |
| train | 13–3 | 0.11 | 20% | 4 Jan → | |
| train | 6–13 | 0.01 | 29% | 1 Jan → | |
| mirage | 13–9 | 0.06 | 19% | 26 Dec → | |
| inferno | 13–10 | 0.02 | 13% | 26 Dec → | |
| mirage | 12–12 | 0.04 | 15% | 22 Dec → | |
| vertigo | 13–10 | -0.03 | 16% | 18 Dec → | |
| vertigo | 13–10 | 0.02 | 14% | 18 Dec → |
Match data via Leetify.