Angler Rob — CS2 Stats
76561198080559509[U:1:120293781]Steam profile ↗
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 | 56.9% | 52.8% |
| Shot accuracy | 16.7% | 13.7% |
| Kill/death ratio | 2.69 | 1.08 |
| Match win rate | 59.0% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.03 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Limited 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 sh1ro 90% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower utility contribution; 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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 603ms 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 6.6/10 (Solid), 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 |
|---|---|---|---|---|---|
 dust2 | B | 19 | 9–10 | 47% | 0.03 |
 cache | A | 14 | 8–6 | 57% | 0.07 |
 mirage | B | 13 | 6–7 | 46% | 0.02 |
 anubis | C | 10 | 4–6 | 40% | -0.01 |
 ancient | S | 10 | 7–3 | 70% | 0.07 |
 nuke | S | 6 | 4–2 | 67% | 0.03 |
| fachwerk | S | 6 | 4–2 | 67% | 0.00 |
| office | — | 4 | 3–1 | 75% | -0.02 |
 train | — | 4 | 2–2 | 50% | 0.01 |
 overpass | — | 4 | 3–1 | 75% | 0.02 |
| boulder | — | 4 | 2–2 | 50% | -0.01 |
| italy | — | 2 | 2–0 | 100% | -0.01 |
| shelter | — | 2 | 1–1 | 50% | -0.03 |
 vertigo | — | 1 | 0–1 | 0% | -0.00 |
| debris | — | 1 | 0–1 | 0% | -0.11 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (40% over 10). 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 resultsWWLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 30 | 73% | 1.58 | 20.7 |
| Ancient | 25 | 68% | 1.68 | 18.6 |
| Nuke | 22 | 59% | 1.47 | 18.4 |
| Mirage | 18 | 56% | 1.47 | 19.2 |
| Anubis | 14 | 93% | 0.90 | 13.6 |
| Cache | 13 | 54% | 1.55 | 22.6 |
| Inferno | 7 | 43% | 0.81 | 11.3 |
| Overpass | 3 | 67% | 0.84 | 12.0 |
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.
- Grenades & UtilityGrenade Lineups →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.3553 — below the 4 mark we flag
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 | |
|---|---|---|---|---|---|
| office | 13–9 | -0.07 | 21% | 19 Aug → | |
| train | 2–13 | 0.07 | 36% | 17 Aug → | |
| anubis | 11–13 | -0.02 | 7% | 17 Aug → | |
| dust2 | 13–3 | 0.02 | 47% | 17 Aug → | |
| nuke | 11–13 | -0.01 | 13% | 14 Aug → | |
| overpass | 13–10 | -0.04 | 26% | 14 Aug → | |
| dust2 | 13–11 | -0.03 | 28% | 14 Aug → | |
| vertigo | 7–13 | -0.00 | 21% | 14 Aug → | |
| boulder | 4–13 | -0.10 | 11% | 12 Aug → | |
| mirage | 13–0 | -0.00 | 21% | 12 Aug → | |
| dust2 | 13–8 | -0.04 | 25% | 12 Aug → | |
| train | 13–8 | -0.00 | 33% | 12 Aug → | |
| dust2 | 7–13 | 0.03 | 36% | 8 Aug → | |
| overpass | 13–4 | 0.16 | 51% | 8 Aug → | |
| anubis | 1–13 | 0.01 | 24% | 8 Aug → | |
| dust2 | 13–9 | -0.01 | 29% | 8 Aug → | |
| boulder | 13–3 | 0.06 | 10% | 7 Aug → | |
| mirage | 6–13 | -0.06 | 18% | 7 Aug → | |
| dust2 | 7–13 | -0.09 | 19% | 7 Aug → | |
| cache | 6–13 | 0.02 | 24% | 7 Aug → | |
| cache | 13–9 | 0.02 | 36% | 7 Aug → | |
| anubis | 13–10 | -0.01 | 36% | 7 Aug → | |
| mirage | 14–16 | -0.04 | 14% | 7 Aug → | |
| cache | 13–11 | 0.16 | 30% | 6 Aug → | |
| dust2 | 7–13 | 0.06 | 28% | 6 Aug → | |
| cache | 19–16 | 0.10 | 32% | 5 Aug → | |
| fachwerk | 12–12 | 0.03 | 26% | 3 Aug → | |
| nuke | 11–13 | 0.03 | 43% | 3 Aug → | |
| ancient | 13–7 | 0.05 | 29% | 3 Aug → | |
| nuke | 13–5 | 0.04 | 20% | 3 Aug → | |
| cache | 11–13 | 0.12 | 37% | 3 Aug → | |
| dust2 | 3–13 | 0.09 | 33% | 3 Aug → | |
| mirage | 7–13 | 0.06 | 23% | 3 Aug → | |
| mirage | 13–6 | 0.20 | 36% | 3 Aug → | |
| ancient | 8–13 | 0.01 | 28% | 3 Aug → | |
| nuke | 13–9 | 0.06 | 33% | 3 Aug → | |
| cache | 10–13 | 0.06 | 26% | 2 Aug → | |
| dust2 | 6–13 | 0.07 | 39% | 2 Aug → | |
| overpass | 11–13 | 0.11 | 35% | 2 Aug → | |
| ancient | 7–13 | -0.01 | 43% | 2 Aug → | |
| nuke | 13–5 | 0.01 | 50% | 1 Aug → | |
| cache | 13–8 | 0.09 | 31% | 1 Aug → | |
| ancient | 8–13 | 0.13 | 41% | 31 Jul → | |
| cache | 13–7 | 0.13 | 41% | 31 Jul → | |
| dust2 | 11–13 | 0.03 | 27% | 31 Jul → | |
| dust2 | 13–1 | 0.02 | 45% | 30 Jul → | |
| mirage | 13–8 | 0.03 | 24% | 27 Jul → | |
| ancient | 13–8 | 0.04 | 40% | 27 Jul → | |
| mirage | 12–12 | -0.02 | 14% | 26 Jul → | |
| anubis | 10–13 | 0.00 | 19% | 26 Jul → | |
| fachwerk | 13–7 | 0.01 | 25% | 26 Jul → | |
| fachwerk | 9–13 | -0.04 | 18% | 26 Jul → | |
| mirage | 4–13 | -0.05 | 18% | 25 Jul → | |
| dust2 | 10–13 | -0.00 | 44% | 25 Jul → | |
| ancient | 13–4 | 0.02 | 31% | 25 Jul → | |
| cache | 10–13 | 0.08 | 26% | 25 Jul → | |
| dust2 | 8–13 | 0.07 | 33% | 25 Jul → | |
| mirage | 13–6 | 0.02 | 30% | 24 Jul → | |
| boulder | 4–13 | -0.08 | 8% | 24 Jul → | |
| debris | 8–8 | -0.11 | 3% | 24 Jul → | |
| ancient | 13–5 | 0.17 | 37% | 24 Jul → | |
| anubis | 13–8 | -0.04 | 19% | 23 Jul → | |
| anubis | 6–13 | 0.00 | 17% | 23 Jul → | |
| cache | 13–6 | 0.16 | 30% | 21 Jul → | |
| office | 13–8 | 0.05 | 46% | 21 Jul → | |
| dust2 | 13–7 | 0.04 | 36% | 21 Jul → | |
| italy | 13–6 | 0.05 | 37% | 21 Jul → | |
| ancient | 13–4 | 0.10 | 30% | 21 Jul → | |
| boulder | 13–6 | 0.08 | 24% | 21 Jul → | |
| nuke | 13–11 | 0.04 | 29% | 21 Jul → | |
| dust2 | 12–2 | 0.07 | 35% | 20 Jul → | |
| mirage | 13–9 | 0.10 | 39% | 20 Jul → | |
| cache | 13–11 | 0.11 | 33% | 19 Jul → | |
| dust2 | 12–16 | 0.08 | 29% | 19 Jul → | |
| ancient | 13–9 | 0.11 | 37% | 19 Jul → | |
| anubis | 2–13 | 0.04 | 35% | 19 Jul → | |
| cache | 13–9 | 0.03 | 27% | 19 Jul → | |
| anubis | 13–9 | -0.02 | 7% | 18 Jul → | |
| shelter | 13–5 | -0.06 | 11% | 18 Jul → | |
| fachwerk | 13–6 | -0.02 | 14% | 18 Jul → | |
| train | 13–4 | -0.01 | 21% | 18 Jul → | |
| fachwerk | 13–11 | 0.00 | 21% | 17 Jul → | |
| cache | 12–12 | -0.02 | 16% | 16 Jul → | |
| fachwerk | 13–1 | 0.03 | 10% | 16 Jul → | |
| anubis | 8–13 | -0.09 | 18% | 16 Jul → | |
| italy | 6–4 | -0.08 | 11% | 16 Jul → | |
| train | 11–13 | -0.01 | 13% | 16 Jul → | |
| overpass | 13–5 | -0.13 | 8% | 16 Jul → | |
| shelter | 8–13 | -0.00 | 20% | 14 Jul → | |
| ancient | 13–2 | 0.04 | 34% | 14 Jul → | |
| dust2 | 13–11 | 0.06 | 32% | 14 Jul → | |
| dust2 | 15–15 | 0.12 | 45% | 14 Jul → | |
| anubis | 13–10 | 0.07 | 39% | 14 Jul → | |
| mirage | 13–5 | 0.00 | 13% | 14 Jul → | |
| dust2 | 16–14 | 0.03 | 33% | 14 Jul → | |
| mirage | 10–13 | 0.04 | 36% | 14 Jul → | |
| cache | 4–13 | -0.04 | 21% | 14 Jul → | |
| office | 13–9 | -0.03 | 9% | 13 Jul → | |
| office | 0–3 | -0.02 | 0% | 13 Jul → | |
| mirage | 7–13 | -0.03 | 10% | 13 Jul → |
Match data via Leetify.