cuidadocomigo — CS2 Stats
BR76561198279035061[U:1:318769333]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Purple band among CSDB-tracked players (n=5,002), 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 | 56.3% | 44.2% | 47.1% | above |
| Shot accuracy | 14.9% | 11.6% | 12.8% | above |
| Kill/death ratio | 1.37 | 1.03 | 1.08 | above |
| Match win rate | 46.6% | 45.2% | 46.6% | meets |
Across every metric we can compare, this profile already matches the typical Pink band player. Rank still comes from winning matches — this is a performance comparison, not a prediction.
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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: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimerEffective flashes
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 s1mple 93% 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 88 — the mechanical foundation is a clear strength.
CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
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 7.1/10 (Strong), 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 | B | 21 | 10–11 | 48% | 0.02 |
 nuke | C | 19 | 8–11 | 42% | 0.04 |
 inferno | A | 15 | 9–6 | 60% | 0.02 |
 ancient | B | 13 | 7–6 | 54% | 0.02 |
 mirage | D | 13 | 4–9 | 31% | -0.00 |
 overpass | C | 8 | 3–5 | 38% | 0.01 |
 cache | C | 5 | 2–3 | 40% | 0.03 |
 train | A | 5 | 3–2 | 60% | 0.03 |
 anubis | — | 1 | 0–1 | 0% | -0.01 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Mirage 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.
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.
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 | |
|---|---|---|---|---|---|
| inferno | 7–13 | 0.00 | 14% | 30 Aug → | |
| dust2 | 7–13 | 0.04 | 14% | 30 Aug → | |
| nuke | 13–10 | 0.06 | 16% | 30 Aug → | |
| nuke | 13–2 | 0.10 | 25% | 30 Aug → | |
| ancient | 7–13 | -0.04 | 13% | 30 Aug → | |
| nuke | 6–13 | 0.08 | 35% | 30 Aug → | |
| nuke | 9–13 | 0.08 | 27% | 29 Aug → | |
| mirage | 4–13 | -0.07 | 13% | 29 Aug → | |
| cache | 13–10 | 0.03 | 21% | 29 Aug → | |
| dust2 | 14–16 | 0.01 | 16% | 28 Aug → | |
| nuke | 13–8 | 0.08 | 21% | 28 Aug → | |
| anubis | 15–15 | -0.01 | 14% | 26 Aug → | |
| cache | 13–9 | 0.03 | 24% | 26 Aug → | |
| dust2 | 13–6 | 0.09 | 14% | 26 Aug → | |
| inferno | 10–13 | -0.02 | 18% | 24 Aug → | |
| inferno | 13–11 | 0.00 | 21% | 24 Aug → | |
| dust2 | 13–10 | 0.08 | 21% | 24 Aug → | |
| ancient | 13–4 | 0.05 | 16% | 23 Aug → | |
| cache | 15–15 | 0.08 | 22% | 23 Aug → | |
| inferno | 13–8 | 0.03 | 31% | 23 Aug → | |
| mirage | 9–13 | 0.01 | 23% | 22 Aug → | |
| inferno | 13–8 | 0.10 | 27% | 15 Aug → | |
| cache | 7–13 | 0.02 | 20% | 15 Aug → | |
| dust2 | 14–16 | 0.01 | 21% | 15 Aug → | |
| dust2 | 7–13 | -0.01 | 28% | 14 Aug → | |
| nuke | 2–13 | 0.01 | 38% | 14 Aug → | |
| mirage | 13–9 | 0.06 | 15% | 11 Aug → | |
| inferno | 16–13 | 0.01 | 14% | 11 Aug → | |
| dust2 | 13–5 | 0.10 | 24% | 11 Aug → | |
| inferno | 5–13 | -0.01 | 22% | 10 Aug → | |
| mirage | 10–13 | 0.01 | 14% | 10 Aug → | |
| cache | 10–13 | -0.04 | 29% | 10 Aug → | |
| nuke | 7–13 | -0.07 | 14% | 6 Aug → | |
| dust2 | 13–5 | -0.03 | 18% | 6 Aug → | |
| dust2 | 5–13 | -0.05 | 17% | 17 May → | |
| inferno | 13–9 | 0.04 | 19% | 17 May → | |
| dust2 | 10–13 | 0.03 | 13% | 17 May → | |
| mirage | 15–15 | -0.03 | 15% | 17 May → | |
| ancient | 14–16 | -0.04 | 15% | 17 May → | |
| dust2 | 14–16 | 0.05 | 18% | 16 May → | |
| nuke | 7–13 | 0.07 | 14% | 1 May → | |
| ancient | 13–8 | 0.00 | 17% | 27 Apr → | |
| overpass | 5–13 | 0.00 | 16% | 26 Apr → | |
| mirage | 6–13 | -0.06 | 21% | 26 Apr → | |
| dust2 | 16–14 | 0.04 | 16% | 26 Apr → | |
| ancient | 13–8 | 0.05 | 17% | 26 Apr → | |
| nuke | 13–7 | -0.03 | 28% | 26 Apr → | |
| inferno | 13–6 | -0.04 | 14% | 26 Apr → | |
| overpass | 15–15 | 0.02 | 24% | 26 Apr → | |
| dust2 | 13–9 | -0.02 | 14% | 26 Apr → | |
| ancient | 13–4 | 0.06 | 25% | 26 Apr → | |
| nuke | 16–13 | 0.08 | 22% | 24 Apr → | |
| nuke | 2–13 | -0.07 | 29% | 22 Apr → | |
| ancient | 9–13 | -0.00 | 15% | 29 Nov → | |
| train | 16–13 | 0.10 | 22% | 29 Nov → | |
| nuke | 10–13 | 0.06 | 24% | 28 Nov → | |
| dust2 | 15–15 | 0.07 | 17% | 8 Aug → | |
| mirage | 13–11 | -0.01 | 22% | 8 Aug → | |
| ancient | 2–13 | -0.06 | 16% | 8 Aug → | |
| overpass | 10–13 | 0.00 | 22% | 5 Aug → | |
| ancient | 7–13 | 0.03 | 15% | 29 Jul → | |
| train | 13–10 | -0.01 | 21% | 29 Jul → | |
| overpass | 13–7 | 0.07 | 18% | 23 Jul → | |
| nuke | 7–13 | -0.00 | 21% | 22 Jul → | |
| overpass | 13–9 | 0.01 | 16% | 22 Jul → | |
| overpass | 11–13 | 0.00 | 16% | 21 Jul → | |
| ancient | 13–7 | 0.05 | 16% | 19 Jul → | |
| dust2 | 15–15 | 0.03 | 10% | 18 Jul → | |
| overpass | 13–6 | -0.01 | 18% | 18 Jul → | |
| nuke | 13–6 | 0.06 | 20% | 17 Jul → | |
| inferno | 11–13 | -0.01 | 19% | 17 Jul → | |
| inferno | 13–8 | 0.11 | 23% | 16 Jul → | |
| overpass | 11–13 | -0.03 | 18% | 16 Jul → | |
| inferno | 13–9 | 0.01 | 19% | 14 Jul → | |
| dust2 | 13–11 | -0.00 | 14% | 11 Jul → | |
| nuke | 15–15 | 0.07 | 25% | 11 Jul → | |
| train | 4–13 | 0.05 | 30% | 10 Jul → | |
| mirage | 8–13 | -0.01 | 19% | 9 Jul → | |
| inferno | 13–7 | -0.05 | 23% | 9 Jul → | |
| nuke | 13–6 | -0.01 | 13% | 9 Jul → | |
| ancient | 13–10 | 0.02 | 17% | 8 Jul → | |
| mirage | 13–5 | 0.04 | 21% | 8 Jul → | |
| dust2 | 5–13 | 0.01 | 19% | 8 Jul → | |
| train | 13–5 | 0.01 | 16% | 7 Jul → | |
| nuke | 10–13 | 0.00 | 21% | 7 Jul → | |
| train | 4–13 | -0.00 | 12% | 7 Jul → | |
| inferno | 10–13 | 0.01 | 16% | 6 Jul → | |
| mirage | 11–13 | -0.05 | 19% | 6 Jul → | |
| mirage | 6–13 | 0.05 | 14% | 6 Jul → | |
| dust2 | 13–5 | -0.04 | 14% | 6 Jul → | |
| ancient | 13–5 | 0.09 | 9% | 6 Jul → | |
| dust2 | 13–11 | -0.04 | 19% | 6 Jul → | |
| mirage | 8–13 | -0.01 | 8% | 5 Jul → | |
| nuke | 7–13 | 0.07 | 20% | 5 Jul → | |
| nuke | 13–10 | 0.03 | 15% | 5 Jul → | |
| inferno | 10–13 | 0.07 | 23% | 4 Jul → | |
| ancient | 10–13 | 0.10 | 22% | 4 Jul → | |
| dust2 | 13–9 | 0.01 | 22% | 2 Jul → | |
| dust2 | 11–13 | 0.02 | 26% | 2 Jul → | |
| mirage | 13–11 | 0.04 | 21% | 2 Jul → |
Match data via Leetify.
