dobby drinks modelo — CS2 Stats
US76561198064765815[U:1:104500087]Steam profile ↗
How this compares with the same rank
Median values for Purple band among CSDB-tracked players (n=2,789), 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 | Purple band median | Pink band median | vs Pink band |
|---|---|---|---|---|
| Headshot rate | 35.7% | 44.1% | 47.2% | 11.5% short |
| Shot accuracy | 12.1% | 11.4% | 12.7% | 0.6% short |
| Kill/death ratio | 1.02 | 1.03 | 1.09 | 0.07 short |
| Match win rate | 34.7% | 45.2% | 46.6% | 11.9% short |
This profile sits below the typical Pink band player on every metric we can compare.
Widest gap: Match win rate. That is the metric furthest from the Pink band 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: +10pp win rate · +0.05 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 ropz 87% playstyle similarity
Most alike: positioning profile, opening-duel success.
Where you differ: lower aim profile; higher opening-fight frequency.
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. 583ms 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 5.8/10 (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 | C | 22 | 9–13 | 41% | 0.02 |
 ancient | C | 16 | 7–9 | 44% | -0.01 |
 mirage | B | 15 | 7–8 | 47% | 0.00 |
 cache | D | 13 | 4–9 | 31% | 0.01 |
 anubis | C | 13 | 5–8 | 38% | 0.00 |
 nuke | D | 6 | 2–4 | 33% | 0.03 |
 vertigo | A | 5 | 3–2 | 60% | 0.07 |
 train | — | 4 | 1–3 | 25% | 0.04 |
 overpass | — | 3 | 2–1 | 67% | 0.04 |
| office | — | 1 | 0–1 | 0% | -0.07 |
 inferno | — | 1 | 0–1 | 0% | -0.06 |
| boulder | — | 1 | 1–0 | 100% | 0.16 |
Across the last 100 tracked matches.
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 resultsLLWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Vertigo | 2 | 100% | 0.86 | 14.5 |
| Inferno | 1 | 0% | 0.94 | 16.0 |
| Ancient | 1 | 0% | 0.33 | 2.0 |
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 →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4731 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| mirage | 4–13 | -0.05 | 33% | 29 Aug → | |
| nuke | 3–13 | -0.01 | 32% | 29 Aug → | |
| dust2 | 13–2 | 0.09 | 39% | 29 Aug → | |
| dust2 | 13–11 | -0.00 | 29% | 28 Aug → | |
| dust2 | 13–8 | 0.02 | 11% | 27 Aug → | |
| cache | 12–12 | 0.09 | 19% | 26 Aug → | |
| dust2 | 13–3 | 0.09 | 18% | 24 Aug → | |
| dust2 | 8–13 | 0.01 | 24% | 24 Aug → | |
| mirage | 7–13 | -0.01 | 30% | 24 Aug → | |
| dust2 | 10–13 | 0.06 | 35% | 23 Aug → | |
| office | 8–13 | -0.07 | 20% | 23 Aug → | |
| dust2 | 12–12 | 0.02 | 26% | 23 Aug → | |
| ancient | 13–7 | -0.02 | 13% | 23 Aug → | |
| anubis | 13–7 | -0.01 | 24% | 23 Aug → | |
| dust2 | 12–16 | -0.04 | 13% | 22 Aug → | |
| anubis | 9–13 | -0.03 | 11% | 22 Aug → | |
| ancient | 11–13 | -0.02 | 16% | 22 Aug → | |
| cache | 13–9 | -0.02 | 18% | 21 Aug → | |
| mirage | 15–15 | 0.02 | 18% | 20 Aug → | |
| ancient | 8–13 | -0.01 | 16% | 20 Aug → | |
| vertigo | 13–7 | 0.08 | 18% | 20 Aug → | |
| mirage | 13–10 | -0.00 | 13% | 19 Aug → | |
| anubis | 13–4 | 0.06 | 19% | 18 Aug → | |
| ancient | 16–14 | 0.02 | 14% | 17 Aug → | |
| ancient | 11–13 | -0.07 | 9% | 16 Aug → | |
| ancient | 13–16 | -0.01 | 12% | 16 Aug → | |
| dust2 | 7–13 | -0.00 | 17% | 16 Aug → | |
| inferno | 5–13 | -0.06 | 26% | 16 Aug → | |
| train | 5–13 | 0.04 | 14% | 16 Aug → | |
| ancient | 7–13 | -0.03 | 10% | 16 Aug → | |
| dust2 | 13–7 | 0.07 | 28% | 16 Aug → | |
| dust2 | 13–9 | -0.01 | 20% | 14 Aug → | |
| cache | 6–13 | -0.05 | 21% | 14 Aug → | |
| mirage | 13–7 | 0.00 | 15% | 14 Aug → | |
| cache | 15–15 | 0.00 | 23% | 13 Aug → | |
| dust2 | 11–13 | -0.02 | 25% | 13 Aug → | |
| anubis | 13–10 | -0.00 | 15% | 12 Aug → | |
| ancient | 13–5 | -0.04 | 16% | 11 Aug → | |
| nuke | 13–1 | 0.17 | 26% | 10 Aug → | |
| mirage | 13–11 | 0.06 | 13% | 10 Aug → | |
| train | 12–12 | 0.03 | 23% | 9 Aug → | |
| cache | 10–13 | 0.08 | 14% | 9 Aug → | |
| mirage | 9–13 | 0.04 | 32% | 9 Aug → | |
| vertigo | 10–13 | 0.10 | 16% | 9 Aug → | |
| mirage | 13–11 | 0.04 | 26% | 8 Aug → | |
| anubis | 2–13 | -0.00 | 24% | 8 Aug → | |
| dust2 | 4–13 | 0.02 | 30% | 8 Aug → | |
| cache | 14–16 | -0.00 | 25% | 8 Aug → | |
| cache | 13–8 | 0.03 | 18% | 5 Aug → | |
| mirage | 13–6 | 0.02 | 11% | 4 Aug → | |
| dust2 | 6–13 | 0.01 | 24% | 3 Aug → | |
| ancient | 15–15 | -0.02 | 12% | 2 Aug → | |
| mirage | 6–13 | -0.03 | 26% | 2 Aug → | |
| ancient | 13–10 | 0.02 | 15% | 2 Aug → | |
| mirage | 13–6 | 0.02 | 11% | 2 Aug → | |
| anubis | 6–13 | -0.01 | 15% | 1 Aug → | |
| cache | 8–13 | 0.05 | 19% | 1 Aug → | |
| ancient | 9–13 | -0.03 | 21% | 1 Aug → | |
| nuke | 7–13 | -0.01 | 22% | 1 Aug → | |
| vertigo | 6–13 | -0.01 | 8% | 31 Jul → | |
| dust2 | 13–7 | 0.08 | 33% | 30 Jul → | |
| mirage | 3–13 | -0.05 | 44% | 29 Jul → | |
| dust2 | 8–13 | 0.00 | 19% | 29 Jul → | |
| anubis | 5–13 | -0.08 | 17% | 28 Jul → | |
| boulder | 13–4 | 0.16 | 17% | 26 Jul → | |
| ancient | 13–8 | 0.03 | 18% | 26 Jul → | |
| cache | 13–7 | -0.04 | 13% | 26 Jul → | |
| cache | 12–12 | 0.01 | 15% | 18 Jul → | |
| nuke | 8–13 | -0.01 | 16% | 17 Jul → | |
| nuke | 5–13 | 0.02 | 16% | 6 Jul → | |
| mirage | 10–13 | -0.01 | 29% | 4 Jul → | |
| dust2 | 13–6 | 0.05 | 20% | 4 Jul → | |
| anubis | 13–7 | 0.04 | 11% | 3 Jul → | |
| dust2 | 7–13 | -0.04 | 27% | 3 Jul → | |
| cache | 13–8 | -0.01 | 8% | 2 Jul → | |
| mirage | 13–8 | 0.04 | 17% | 21 Jun → | |
| cache | 4–13 | -0.01 | 20% | 21 Jun → | |
| mirage | 1–10 | -0.07 | 21% | 20 Jun → | |
| nuke | 10–4 | 0.01 | 7% | 18 Jun → | |
| train | 13–6 | -0.02 | 11% | 17 Jun → | |
| anubis | 9–13 | 0.00 | 17% | 17 Jun → | |
| anubis | 12–12 | 0.01 | 22% | 17 Jun → | |
| overpass | 13–7 | 0.00 | 19% | 17 Jun → | |
| anubis | 13–8 | 0.11 | 14% | 16 Jun → | |
| dust2 | 13–4 | 0.08 | 20% | 15 Jun → | |
| overpass | 12–16 | 0.02 | 14% | 14 Jun → | |
| anubis | 6–13 | -0.03 | 13% | 13 Jun → | |
| ancient | 11–13 | -0.04 | 19% | 9 Jun → | |
| dust2 | 6–13 | 0.00 | 18% | 8 Jun → | |
| ancient | 13–7 | 0.06 | 13% | 7 Jun → | |
| dust2 | 1–6 | -0.03 | 25% | 7 Jun → | |
| overpass | 13–7 | 0.09 | 29% | 7 Jun → | |
| train | 11–13 | 0.13 | 29% | 7 Jun → | |
| dust2 | 10–13 | 0.07 | 23% | 6 Jun → | |
| ancient | 7–13 | 0.07 | 25% | 6 Jun → | |
| ancient | 13–5 | -0.02 | 21% | 6 Jun → | |
| cache | 9–13 | 0.02 | 15% | 5 Jun → | |
| vertigo | 13–6 | 0.17 | 27% | 5 Jun → | |
| vertigo | 13–6 | 0.00 | 23% | 4 Jun → | |
| anubis | 13–16 | -0.05 | 16% | 4 Jun → |
Match data via Leetify.
