notcase — CS2 Stats
76561198411416722[U:1:451150994]
How this compares with the same rank
Median values for Level 9 among CSDB-tracked players (n=1,109), 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 | 38.2% | 49.0% | 52.0% | 13.8% short |
| Shot accuracy | 14.9% | 13.1% | 13.7% | above |
| Kill/death ratio | 0.99 | 1.08 | 1.08 | 0.09 short |
| Match win rate | 43.5% | 46.9% | 48.8% | 5.3% short |
This profile matches the typical Level 10 player on 1 of 4 comparable metrics.
Widest gap: Headshot rate. 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: -20pp win rate · +0.01 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 donk 89% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower positioning profile; lower aim profile.
Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →
CSDB Rating breakdown
Composite 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 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 |
|---|---|---|---|---|---|
 mirage | A | 24 | 14–10 | 58% | 0.02 |
 anubis | B | 17 | 8–9 | 47% | -0.01 |
 dust2 | A | 17 | 10–7 | 59% | -0.00 |
 ancient | B | 15 | 7–8 | 47% | 0.00 |
 cache | S | 10 | 8–2 | 80% | -0.01 |
 inferno | B | 10 | 5–5 | 50% | -0.01 |
 nuke | — | 4 | 3–1 | 75% | -0.03 |
 overpass | — | 3 | 2–1 | 67% | 0.01 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (47% over 17). 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 resultsWLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 532 | 50% | 1.09 | 16.4 |
| Dust2 | 366 | 50% | 0.97 | 14.8 |
| Ancient | 267 | 49% | 1.01 | 15.5 |
| Anubis | 210 | 50% | 1.03 | 15.3 |
| Inferno | 157 | 47% | 0.94 | 14.8 |
| Nuke | 99 | 43% | 0.90 | 14.9 |
| Overpass | 44 | 59% | 1.05 | 16.8 |
| Cache | 32 | 56% | 0.88 | 14.3 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
47% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| cache | 14–16 | -0.05 | 16% | 27 Aug → | |
| ancient | 13–7 | 0.04 | 17% | 24 Aug → | |
| mirage | 13–6 | -0.04 | 23% | 23 Aug → | |
| inferno | 5–13 | -0.01 | 19% | 22 Aug → | |
| cache | 13–7 | -0.01 | 14% | 22 Aug → | |
| anubis | 9–13 | -0.00 | 11% | 22 Aug → | |
| anubis | 13–11 | 0.07 | 14% | 22 Aug → | |
| mirage | 7–13 | 0.05 | 13% | 18 Aug → | |
| ancient | 13–2 | 0.08 | 21% | 16 Aug → | |
| anubis | 14–16 | -0.04 | 21% | 16 Aug → | |
| mirage | 11–13 | -0.03 | 13% | 14 Aug → | |
| dust2 | 4–13 | -0.03 | 17% | 14 Aug → | |
| dust2 | 13–6 | 0.02 | 16% | 9 Aug → | |
| dust2 | 13–6 | 0.01 | 6% | 9 Aug → | |
| mirage | 13–5 | 0.08 | 17% | 9 Aug → | |
| anubis | 5–13 | -0.06 | 17% | 8 Aug → | |
| dust2 | 13–6 | 0.00 | 11% | 8 Aug → | |
| mirage | 13–11 | 0.00 | 16% | 7 Aug → | |
| ancient | 13–6 | 0.02 | 12% | 7 Aug → | |
| anubis | 13–9 | -0.03 | 17% | 4 Aug → | |
| ancient | 5–13 | 0.03 | 15% | 4 Aug → | |
| inferno | 13–4 | 0.06 | 19% | 4 Aug → | |
| dust2 | 13–9 | 0.05 | 21% | 4 Aug → | |
| mirage | 13–4 | 0.10 | 19% | 4 Aug → | |
| ancient | 13–8 | 0.02 | 16% | 4 Aug → | |
| anubis | 13–11 | -0.04 | 9% | 3 Aug → | |
| anubis | 13–1 | 0.03 | 15% | 2 Aug → | |
| dust2 | 4–13 | -0.01 | 24% | 22 Jul → | |
| cache | 13–9 | -0.04 | 14% | 21 Jul → | |
| anubis | 12–16 | -0.03 | 15% | 19 Jul → | |
| cache | 13–10 | -0.02 | 23% | 15 Jul → | |
| inferno | 5–13 | -0.01 | 11% | 15 Jul → | |
| anubis | 13–11 | -0.05 | 6% | 15 Jul → | |
| cache | 16–14 | 0.04 | 12% | 14 Jul → | |
| mirage | 4–13 | 0.08 | 15% | 9 Jul → | |
| dust2 | 5–13 | -0.02 | 9% | 9 Jul → | |
| dust2 | 13–4 | -0.05 | 13% | 9 Jul → | |
| anubis | 10–13 | -0.02 | 19% | 4 Jul → | |
| dust2 | 13–11 | 0.00 | 17% | 29 Jun → | |
| mirage | 10–13 | -0.00 | 20% | 27 Jun → | |
| inferno | 9–13 | -0.04 | 22% | 27 Jun → | |
| dust2 | 3–13 | -0.02 | 24% | 26 Jun → | |
| inferno | 13–4 | 0.03 | 17% | 26 Jun → | |
| dust2 | 13–2 | 0.05 | 22% | 23 Jun → | |
| inferno | 3–13 | -0.01 | 20% | 22 Jun → | |
| ancient | 13–3 | 0.03 | 26% | 22 Jun → | |
| inferno | 13–8 | -0.06 | 16% | 18 Jun → | |
| ancient | 7–13 | -0.02 | 8% | 11 Jun → | |
| nuke | 4–13 | -0.06 | 16% | 11 Jun → | |
| mirage | 13–8 | 0.09 | 25% | 11 Jun → | |
| mirage | 2–13 | -0.01 | 12% | 9 Jun → | |
| mirage | 13–10 | 0.02 | 16% | 9 Jun → | |
| dust2 | 9–13 | -0.05 | 12% | 7 Jun → | |
| mirage | 14–16 | -0.01 | 16% | 5 Jun → | |
| nuke | 13–3 | 0.01 | 20% | 5 Jun → | |
| cache | 13–10 | 0.07 | 31% | 5 Jun → | |
| dust2 | 13–8 | -0.04 | 24% | 22 May → | |
| ancient | 8–13 | -0.10 | 9% | 20 May → | |
| ancient | 13–10 | 0.13 | 22% | 17 May → | |
| dust2 | 13–3 | 0.12 | 22% | 17 May → | |
| ancient | 8–13 | -0.04 | 7% | 15 May → | |
| inferno | 1–13 | -0.04 | 18% | 15 May → | |
| cache | 13–7 | 0.03 | 18% | 14 May → | |
| cache | 13–9 | -0.01 | 9% | 14 May → | |
| inferno | 13–11 | -0.00 | 17% | 13 May → | |
| mirage | 5–13 | 0.03 | 10% | 13 May → | |
| mirage | 13–10 | 0.04 | 18% | 11 May → | |
| anubis | 7–13 | -0.01 | 30% | 10 May → | |
| inferno | 13–4 | 0.01 | 41% | 5 May → | |
| mirage | 13–1 | 0.15 | 17% | 5 May → | |
| mirage | 13–4 | 0.08 | 28% | 3 May → | |
| anubis | 13–9 | 0.01 | 9% | 3 May → | |
| overpass | 9–13 | -0.03 | 18% | 3 May → | |
| anubis | 6–13 | -0.02 | 11% | 2 May → | |
| dust2 | 11–13 | -0.06 | 21% | 1 May → | |
| cache | 13–2 | -0.01 | 20% | 26 Apr → | |
| cache | 8–13 | -0.05 | 25% | 23 Apr → | |
| mirage | 11–13 | -0.07 | 10% | 19 Apr → | |
| anubis | 16–19 | 0.02 | 21% | 17 Apr → | |
| mirage | 16–13 | -0.02 | 18% | 11 Apr → | |
| overpass | 13–11 | -0.01 | 19% | 3 Apr → | |
| ancient | 4–13 | -0.03 | 19% | 2 Apr → | |
| mirage | 13–6 | -0.04 | 26% | 2 Apr → | |
| mirage | 13–8 | 0.06 | 23% | 2 Apr → | |
| ancient | 10–13 | -0.05 | 24% | 1 Apr → | |
| anubis | 13–10 | 0.03 | 12% | 1 Apr → | |
| nuke | 13–11 | 0.01 | 16% | 31 Mar → | |
| mirage | 10–13 | -0.02 | 22% | 28 Mar → | |
| ancient | 13–10 | -0.07 | 17% | 27 Mar → | |
| mirage | 13–4 | 0.04 | 21% | 25 Mar → | |
| anubis | 11–13 | -0.02 | 15% | 25 Mar → | |
| dust2 | 7–13 | -0.02 | 31% | 24 Mar → | |
| ancient | 7–13 | -0.02 | 22% | 24 Mar → | |
| overpass | 13–9 | 0.08 | 21% | 24 Mar → | |
| mirage | 13–9 | -0.03 | 9% | 24 Mar → | |
| dust2 | 13–4 | 0.04 | 31% | 23 Mar → | |
| ancient | 6–13 | 0.03 | 19% | 23 Mar → | |
| anubis | 13–5 | 0.01 | 11% | 20 Mar → | |
| mirage | 10–13 | -0.00 | 33% | 16 Mar → | |
| nuke | 13–9 | -0.05 | 18% | 12 Mar → |
Match data via Leetify.