rob — CS2 Stats
76561199115430376[U:1:1155164648]✓ No bans
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 | vs Level 10 |
|---|---|---|---|
| Headshot rate | 47.5% | 52.8% | 5.2% short |
| Shot accuracy | 17.7% | 13.7% | above |
| Kill/death ratio | 1.35 | 1.08 | above |
| Match win rate | 83.8% | 49.2% | above |
This profile matches the typical Level 10 player on 3 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: +40pp win rate · +0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 jL 98% playstyle similarity
Most alike: opening-fight frequency, 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 86 — the mechanical foundation is a clear strength.
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 7.3/10 (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 |
|---|---|---|---|---|---|
 mirage | B | 36 | 18–18 | 50% | 0.03 |
 inferno | C | 17 | 7–10 | 41% | 0.03 |
 nuke | A | 12 | 7–5 | 58% | 0.03 |
 dust2 | C | 10 | 4–6 | 40% | -0.00 |
 ancient | C | 10 | 4–6 | 40% | 0.00 |
 cache | B | 8 | 4–4 | 50% | 0.08 |
 anubis | S | 6 | 4–2 | 67% | 0.03 |
 vertigo | — | 1 | 1–0 | 100% | 0.10 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Dust 2 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 |
|---|---|---|---|---|
| Ancient | 3 | 33% | 1.11 | 17.3 |
| Mirage | 2 | 50% | 0.96 | 17.0 |
| Vertigo | 2 | 50% | 0.64 | 9.5 |
| Anubis | 2 | 50% | 1.07 | 15.0 |
| Nuke | 1 | 0% | 0.82 | 14.0 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| anubis | 13–7 | -0.07 | 12% | 27 Aug → | |
| inferno | 11–13 | 0.10 | 18% | 27 Aug → | |
| cache | 13–9 | 0.11 | 14% | 27 Aug → | |
| anubis | 13–5 | 0.11 | 23% | 27 Aug → | |
| mirage | 13–8 | 0.08 | 22% | 27 Aug → | |
| mirage | 13–1 | -0.04 | 3% | 23 Aug → | |
| dust2 | 13–9 | -0.02 | 13% | 23 Aug → | |
| ancient | 11–13 | 0.04 | 11% | 23 Aug → | |
| mirage | 13–7 | 0.04 | 17% | 23 Aug → | |
| inferno | 13–8 | 0.08 | 21% | 23 Aug → | |
| mirage | 13–6 | 0.03 | 6% | 20 Aug → | |
| nuke | 13–6 | 0.10 | 17% | 20 Aug → | |
| inferno | 9–13 | 0.06 | 14% | 19 Aug → | |
| mirage | 10–13 | 0.03 | 13% | 19 Aug → | |
| anubis | 3–13 | 0.05 | 12% | 19 Aug → | |
| cache | 9–13 | -0.03 | 13% | 19 Aug → | |
| dust2 | 13–11 | 0.00 | 5% | 19 Aug → | |
| dust2 | 3–13 | -0.03 | 14% | 19 Aug → | |
| inferno | 16–12 | 0.07 | 17% | 19 Aug → | |
| nuke | 11–13 | -0.01 | 25% | 19 Aug → | |
| mirage | 13–7 | 0.06 | 17% | 13 Aug → | |
| ancient | 13–6 | 0.04 | 11% | 13 Aug → | |
| dust2 | 11–13 | -0.03 | 23% | 13 Aug → | |
| mirage | 4–13 | 0.01 | 28% | 13 Aug → | |
| nuke | 16–12 | 0.06 | 26% | 12 Aug → | |
| ancient | 13–11 | 0.00 | 13% | 12 Aug → | |
| mirage | 13–1 | 0.22 | 17% | 12 Aug → | |
| mirage | 6–13 | 0.03 | 14% | 10 Aug → | |
| dust2 | 5–13 | -0.03 | 18% | 3 Aug → | |
| dust2 | 7–13 | 0.01 | 25% | 3 Aug → | |
| nuke | 13–6 | -0.02 | 26% | 3 Aug → | |
| ancient | 11–13 | -0.05 | 16% | 22 Jul → | |
| anubis | 13–3 | 0.08 | 12% | 22 Jul → | |
| mirage | 13–11 | 0.12 | 16% | 22 Jul → | |
| inferno | 10–13 | 0.00 | 11% | 22 Jul → | |
| inferno | 8–13 | -0.05 | 16% | 22 Jul → | |
| mirage | 13–9 | 0.02 | 18% | 22 Jul → | |
| nuke | 9–13 | 0.06 | 10% | 21 Jul → | |
| mirage | 13–10 | -0.00 | 13% | 20 Jul → | |
| ancient | 13–3 | 0.01 | 8% | 20 Jul → | |
| anubis | 15–15 | 0.00 | 9% | 20 Jul → | |
| anubis | 13–2 | 0.03 | 10% | 16 Jul → | |
| mirage | 3–13 | -0.06 | 12% | 16 Jul → | |
| mirage | 6–13 | 0.01 | 7% | 15 Jul → | |
| mirage | 13–5 | 0.09 | 23% | 15 Jul → | |
| mirage | 4–13 | -0.02 | 7% | 15 Jul → | |
| nuke | 13–6 | 0.07 | 16% | 15 Jul → | |
| nuke | 13–11 | 0.06 | 15% | 14 Jul → | |
| dust2 | 6–13 | 0.00 | 20% | 14 Jul → | |
| ancient | 6–13 | -0.04 | 23% | 14 Jul → | |
| mirage | 2–13 | -0.10 | 16% | 14 Jul → | |
| nuke | 13–6 | 0.01 | 18% | 14 Jul → | |
| mirage | 4–13 | 0.08 | 12% | 13 Jul → | |
| dust2 | 13–6 | 0.07 | 16% | 13 Jul → | |
| ancient | 16–14 | -0.02 | 14% | 4 Jul → | |
| inferno | 7–13 | 0.03 | 16% | 28 Jun → | |
| dust2 | 10–13 | 0.04 | 20% | 24 Jun → | |
| nuke | 13–6 | 0.13 | 20% | 24 Jun → | |
| inferno | 10–13 | -0.04 | 12% | 19 Jun → | |
| inferno | 11–13 | 0.02 | 14% | 19 Jun → | |
| vertigo | 13–8 | 0.10 | 14% | 16 Jun → | |
| ancient | 8–13 | 0.03 | 11% | 14 Jun → | |
| nuke | 7–13 | 0.01 | 21% | 14 Jun → | |
| nuke | 15–15 | -0.05 | 15% | 14 Jun → | |
| dust2 | 13–8 | -0.02 | 25% | 11 Jun → | |
| nuke | 6–13 | -0.06 | 11% | 1 Jun → | |
| mirage | 13–8 | 0.03 | 29% | 1 Jun → | |
| mirage | 13–4 | -0.01 | 21% | 1 Jun → | |
| mirage | 9–13 | 0.05 | 22% | 31 May → | |
| mirage | 13–8 | -0.02 | 31% | 31 May → | |
| mirage | 14–16 | 0.04 | 14% | 31 May → | |
| mirage | 9–13 | -0.00 | 12% | 29 May → | |
| mirage | 16–14 | 0.03 | 29% | 28 May → | |
| inferno | 13–6 | 0.02 | 15% | 28 May → | |
| mirage | 14–16 | 0.04 | 17% | 28 May → | |
| inferno | 13–11 | 0.08 | 16% | 28 May → | |
| mirage | 11–5 | 0.02 | 12% | 28 May → | |
| inferno | 14–16 | 0.06 | 13% | 28 May → | |
| mirage | 8–13 | 0.06 | 22% | 22 May → | |
| cache | 6–13 | -0.01 | 21% | 22 May → | |
| mirage | 13–4 | -0.02 | 16% | 19 May → | |
| inferno | 5–13 | -0.04 | 12% | 19 May → | |
| mirage | 13–8 | 0.05 | 14% | 19 May → | |
| inferno | 13–8 | 0.04 | 8% | 5 May → | |
| mirage | 13–9 | 0.02 | 15% | 5 May → | |
| mirage | 10–13 | 0.08 | 21% | 5 May → | |
| mirage | 12–12 | 0.09 | 18% | 4 May → | |
| inferno | 5–3 | 0.09 | 32% | 1 May → | |
| cache | 13–2 | 0.23 | 23% | 1 May → | |
| cache | 11–13 | 0.06 | 22% | 1 May → | |
| cache | 13–5 | 0.16 | 24% | 1 May → | |
| mirage | 8–13 | 0.09 | 17% | 30 Apr → | |
| cache | 9–0 | 0.11 | 0% | 30 Apr → | |
| cache | 12–12 | 0.02 | 25% | 30 Apr → | |
| ancient | 10–13 | -0.01 | 5% | 5 Apr → | |
| ancient | 15–15 | 0.03 | 15% | 9 Jan → | |
| inferno | 15–15 | 0.05 | 25% | 5 Jan → | |
| mirage | 11–13 | 0.08 | 20% | 5 Jan → | |
| mirage | 9–13 | 0.04 | 11% | 5 Jan → | |
| inferno | 13–9 | -0.04 | 17% | 31 Dec → |
Match data via Leetify.