1gNOre — CS2 Stats
76561198107262880[U:1:146997152]
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 | 46.1% | 52.8% |
| Shot accuracy | 17.6% | 13.7% |
| Kill/death ratio | 1.47 | 1.08 |
| Match win rate | 53.0% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · -0.02 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Sharp aimer
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 NiKo 93% playstyle similarity
Most alike: opening-duel success, positioning 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
Strengths
Aim. Aim score of 85 — the mechanical foundation is a clear strength.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 566ms 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 6.2/10 (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 |
|---|---|---|---|---|---|
 vertigo | S | 16 | 11–5 | 69% | 0.06 |
 anubis | C | 14 | 6–8 | 43% | 0.05 |
 dust2 | S | 12 | 8–4 | 67% | 0.03 |
 overpass | A | 12 | 7–5 | 58% | 0.00 |
 inferno | D | 11 | 3–8 | 27% | 0.01 |
 train | S | 7 | 5–2 | 71% | 0.06 |
 cache | C | 5 | 2–3 | 40% | 0.02 |
 ancient | S | 5 | 4–1 | 80% | 0.10 |
| office | C | 5 | 2–3 | 40% | 0.07 |
 mirage | — | 4 | 3–1 | 75% | 0.05 |
| grail | — | 3 | 2–1 | 67% | 0.06 |
| shelter | — | 1 | 1–0 | 100% | 0.07 |
| alpine | — | 1 | 0–1 | 0% | 0.12 |
 nuke | — | 1 | 1–0 | 100% | 0.11 |
| golden | — | 1 | 0–1 | 0% | -0.00 |
| agency | — | 1 | 0–1 | 0% | -0.01 |
| jura | — | 1 | 0–1 | 0% | -0.07 |
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 resultsLWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 76 | 55% | 1.27 | 16.9 |
| Mirage | 63 | 52% | 1.15 | 15.9 |
| Inferno | 51 | 53% | 1.31 | 17.7 |
| Ancient | 47 | 55% | 1.25 | 17.8 |
| Vertigo | 38 | 55% | 1.21 | 17.2 |
| Dust2 | 25 | 40% | 1.14 | 15.0 |
| Nuke | 9 | 44% | 1.22 | 18.1 |
| Train | 7 | 43% | 1.44 | 18.4 |
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.
- 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 33.7073% — 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 | |
|---|---|---|---|---|---|
| shelter | 13–2 | 0.07 | 27% | 21 Jul → | |
| inferno | 14–16 | 0.02 | 20% | 26 May → | |
| dust2 | 13–6 | 0.07 | 24% | 12 May → | |
| cache | 4–13 | -0.07 | 23% | 12 May → | |
| cache | 2–13 | -0.06 | 20% | 12 May → | |
| cache | 12–12 | -0.04 | 29% | 29 Apr → | |
| cache | 13–6 | 0.16 | 27% | 29 Apr → | |
| cache | 13–7 | 0.13 | 36% | 29 Apr → | |
| train | 13–9 | 0.03 | 24% | 22 Apr → | |
| anubis | 13–0 | 0.09 | 15% | 15 Apr → | |
| vertigo | 9–13 | -0.02 | 44% | 8 Apr → | |
| vertigo | 13–1 | 0.13 | 37% | 8 Apr → | |
| anubis | 11–13 | -0.02 | 15% | 1 Apr → | |
| alpine | 12–12 | 0.12 | 33% | 1 Apr → | |
| anubis | 9–13 | 0.09 | 16% | 1 Apr → | |
| anubis | 8–13 | 0.02 | 28% | 1 Apr → | |
| inferno | 12–12 | 0.06 | 15% | 30 Mar → | |
| mirage | 13–7 | -0.00 | 16% | 30 Mar → | |
| ancient | 13–5 | 0.13 | 24% | 25 Mar → | |
| inferno | 9–4 | 0.10 | 13% | 19 Mar → | |
| office | 13–10 | 0.11 | 22% | 18 Mar → | |
| office | 13–10 | -0.01 | 27% | 18 Mar → | |
| overpass | 13–9 | -0.05 | 13% | 12 Mar → | |
| overpass | 2–13 | -0.08 | 19% | 12 Mar → | |
| overpass | 7–13 | -0.05 | 36% | 12 Mar → | |
| overpass | 13–9 | 0.10 | 20% | 12 Mar → | |
| inferno | 10–13 | -0.01 | 16% | 10 Mar → | |
| dust2 | 4–13 | -0.02 | 14% | 10 Mar → | |
| ancient | 8–13 | 0.02 | 23% | 10 Mar → | |
| train | 7–13 | 0.02 | 19% | 25 Feb → | |
| inferno | 8–13 | 0.01 | 19% | 24 Feb → | |
| dust2 | 9–13 | -0.05 | 21% | 24 Feb → | |
| vertigo | 13–11 | 0.12 | 20% | 17 Feb → | |
| vertigo | 13–6 | 0.00 | 17% | 16 Feb → | |
| anubis | 12–12 | 0.05 | 14% | 8 Feb → | |
| anubis | 4–13 | 0.00 | 16% | 8 Feb → | |
| nuke | 13–1 | 0.11 | 4% | 3 Feb → | |
| mirage | 13–2 | 0.09 | 19% | 3 Feb → | |
| inferno | 13–3 | 0.16 | 19% | 3 Feb → | |
| vertigo | 13–9 | 0.08 | 14% | 3 Feb → | |
| dust2 | 13–8 | 0.12 | 21% | 27 Jan → | |
| dust2 | 1–13 | -0.10 | 14% | 27 Jan → | |
| office | 10–13 | 0.14 | 36% | 27 Jan → | |
| anubis | 3–13 | -0.02 | 10% | 22 Jan → | |
| overpass | 13–11 | 0.02 | 16% | 18 Jan → | |
| overpass | 5–13 | 0.00 | 13% | 18 Jan → | |
| inferno | 4–13 | -0.01 | 42% | 13 Jan → | |
| ancient | 13–6 | 0.12 | 24% | 6 Jan → | |
| dust2 | 13–5 | 0.06 | 42% | 5 Jan → | |
| train | 13–9 | 0.15 | 24% | 5 Jan → | |
| dust2 | 13–11 | -0.01 | 13% | 30 Dec → | |
| ancient | 13–3 | 0.08 | 24% | 28 Dec → | |
| anubis | 13–6 | 0.15 | 33% | 28 Dec → | |
| vertigo | 13–6 | 0.15 | 19% | 22 Dec → | |
| vertigo | 4–13 | -0.05 | 27% | 22 Dec → | |
| vertigo | 13–5 | -0.01 | 12% | 18 Dec → | |
| inferno | 2–9 | -0.14 | 20% | 16 Dec → | |
| anubis | 13–5 | 0.13 | 33% | 16 Dec → | |
| anubis | 12–12 | 0.06 | 17% | 16 Dec → | |
| dust2 | 13–3 | 0.02 | 8% | 9 Dec → | |
| mirage | 4–13 | 0.02 | 29% | 3 Dec → | |
| dust2 | 13–5 | 0.08 | 18% | 19 Nov → | |
| overpass | 13–8 | 0.06 | 18% | 19 Nov → | |
| anubis | 4–13 | 0.03 | 27% | 12 Nov → | |
| vertigo | 9–13 | -0.01 | 19% | 12 Nov → | |
| train | 13–11 | 0.03 | 23% | 7 Nov → | |
| ancient | 13–10 | 0.16 | 29% | 3 Nov → | |
| vertigo | 13–4 | 0.06 | 18% | 3 Nov → | |
| dust2 | 13–5 | 0.08 | 26% | 28 Oct → | |
| vertigo | 13–8 | 0.03 | 13% | 28 Oct → | |
| vertigo | 0–5 | 0.10 | 53% | 28 Oct → | |
| vertigo | 13–5 | 0.14 | 21% | 27 Oct → | |
| anubis | 13–7 | 0.10 | 25% | 21 Oct → | |
| vertigo | 13–3 | 0.15 | 19% | 11 Oct → | |
| inferno | 13–1 | 0.11 | 29% | 10 Oct → | |
| golden | 10–13 | -0.00 | 22% | 10 Oct → | |
| office | 10–13 | 0.06 | 35% | 1 Oct → | |
| overpass | 0–13 | -0.05 | 6% | 24 Sept → | |
| office | 12–12 | 0.03 | 13% | 17 Sept → | |
| vertigo | 13–3 | 0.05 | 17% | 17 Sept → | |
| mirage | 7–0 | 0.07 | 30% | 17 Sept → | |
| dust2 | 1–13 | 0.00 | 25% | 17 Sept → | |
| dust2 | 13–8 | 0.05 | 12% | 15 Sept → | |
| train | 8–13 | 0.10 | 12% | 15 Sept → | |
| train | 13–4 | 0.05 | 22% | 15 Sept → | |
| grail | 13–6 | 0.02 | 37% | 2 Sept → | |
| vertigo | 4–13 | 0.02 | 38% | 13 Aug → | |
| inferno | 3–13 | -0.02 | 33% | 7 Aug → | |
| agency | 4–13 | -0.01 | 16% | 7 Aug → | |
| overpass | 3–13 | 0.00 | 16% | 1 Aug → | |
| jura | 3–13 | -0.07 | 17% | 31 Jul → | |
| overpass | 13–5 | 0.07 | 24% | 23 Jul → | |
| overpass | 13–3 | 0.02 | 11% | 17 Jul → | |
| train | 13–11 | 0.03 | 30% | 7 Jul → | |
| grail | 13–1 | 0.08 | 14% | 5 Jul → | |
| overpass | 13–5 | -0.02 | 10% | 5 Jul → | |
| grail | 12–12 | 0.07 | 32% | 3 Jul → | |
| anubis | 13–3 | -0.02 | 14% | 26 Jun → | |
| anubis | 13–3 | 0.08 | 28% | 26 Jun → | |
| inferno | 0–9 | -0.15 | 0% | 21 Jun → |
Match data via Leetify.
