MigueI1111 — CS2 Stats
76561199050951447[U:1:1090685719]
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=3,007), 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 | 70.0% | 52.0% |
| Shot accuracy | 2.9% | 13.7% |
| Kill/death ratio | 1.30 | 1.08 |
| Match win rate | 54.9% | 48.8% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · -0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Strong CT-side opener
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 iM 96% playstyle similarity
Most alike: utility contribution, 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
Areas to improve
T-side openings. Opening success drops from 57% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 553ms 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 7.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 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 |
|---|---|---|---|---|---|
| A | 51 | 32–19 | 63% | 0.03 | |
| A | 16 | 9–7 | 56% | 0.03 | |
| D | 9 | 3–6 | 33% | 0.04 | |
| S | 7 | 6–1 | 86% | 0.02 | |
| S | 6 | 4–2 | 67% | 0.05 | |
| D | 5 | 1–4 | 20% | 0.02 | |
| — | 3 | 3–0 | 100% | 0.01 | |
| — | 2 | 2–0 | 100% | 0.01 | |
| — | 1 | 0–1 | 0% | -0.11 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (20% over 5). 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 resultsWLWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 501 | 62% | 1.34 | 19.1 |
| Ancient | 340 | 55% | 1.23 | 18.6 |
| Anubis | 185 | 49% | 1.17 | 17.5 |
| Nuke | 93 | 49% | 1.28 | 18.5 |
| Vertigo | 84 | 68% | 1.55 | 17.8 |
| Overpass | 75 | 49% | 1.32 | 20.3 |
| Dust2 | 33 | 52% | 1.15 | 16.9 |
| Train | 20 | 30% | 1.05 | 17.6 |
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 35.5969% — 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.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–8 | 0.05 | 22% | 23 Aug → | ||
| 11–13 | 0.00 | 29% | 18 Aug → | ||
| 6–13 | -0.02 | 32% | 17 Aug → | ||
| 13–3 | 0.12 | 26% | 11 Aug → | ||
| 13–7 | 0.09 | 25% | 10 Aug → | ||
| 6–13 | 0.06 | 26% | 28 Jul → | ||
| 0–13 | -0.11 | 22% | 5 Jul → | ||
| 13–3 | 0.20 | 30% | 24 Jun → | ||
| 7–13 | -0.01 | 21% | 21 May → | ||
| 4–13 | -0.01 | 13% | 17 May → | ||
| 13–10 | 0.18 | 22% | 17 May → | ||
| 7–13 | -0.03 | 20% | 14 May → | ||
| 16–12 | 0.06 | 26% | 14 May → | ||
| 13–0 | 0.14 | 32% | 14 May → | ||
| 13–8 | 0.05 | 30% | 13 May → | ||
| 13–9 | 0.02 | 25% | 12 May → | ||
| 13–6 | 0.05 | 20% | 25 Apr → | ||
| 10–13 | 0.04 | 18% | 24 Apr → | ||
| 13–11 | 0.02 | 11% | 24 Apr → | ||
| 14–16 | 0.01 | 20% | 18 Apr → | ||
| 13–8 | 0.07 | 34% | 18 Apr → | ||
| 9–13 | -0.01 | 18% | 14 Apr → | ||
| 13–11 | -0.01 | 26% | 13 Apr → | ||
| 13–11 | 0.02 | 31% | 5 Apr → | ||
| 17–19 | 0.03 | 38% | 5 Apr → | ||
| 13–5 | -0.00 | 22% | 5 Apr → | ||
| 16–13 | 0.05 | 26% | 28 Mar → | ||
| 9–13 | -0.02 | 39% | 25 Mar → | ||
| 13–8 | 0.04 | 24% | 25 Mar → | ||
| 9–13 | 0.04 | 25% | 22 Mar → | ||
| 14–16 | 0.02 | 29% | 22 Mar → | ||
| 13–8 | 0.02 | 20% | 19 Mar → | ||
| 3–13 | -0.10 | 10% | 16 Mar → | ||
| 9–13 | 0.03 | 19% | 16 Mar → | ||
| 8–13 | 0.02 | 16% | 16 Mar → | ||
| 16–13 | 0.08 | 22% | 14 Mar → | ||
| 13–9 | 0.06 | 19% | 12 Mar → | ||
| 11–13 | -0.01 | 23% | 9 Mar → | ||
| 7–1 | 0.03 | 44% | 7 Mar → | ||
| 13–11 | 0.00 | 27% | 7 Mar → | ||
| 13–8 | 0.03 | 17% | 7 Mar → | ||
| 16–19 | 0.05 | 23% | 7 Mar → | ||
| 19–15 | 0.06 | 24% | 7 Mar → | ||
| 13–4 | 0.02 | 16% | 7 Mar → | ||
| 13–4 | 0.02 | 23% | 21 Feb → | ||
| 13–10 | 0.02 | 21% | 21 Feb → | ||
| 7–13 | -0.02 | 29% | 21 Feb → | ||
| 13–5 | 0.06 | 46% | 21 Feb → | ||
| 8–13 | 0.03 | 24% | 20 Feb → | ||
| 13–9 | 0.01 | 22% | 2 Feb → | ||
| 19–16 | 0.01 | 35% | 30 Jan → | ||
| 10–13 | 0.04 | 20% | 25 Jan → | ||
| 13–5 | 0.04 | 16% | 19 Jan → | ||
| 6–13 | -0.02 | 21% | 17 Jan → | ||
| 13–6 | -0.00 | 12% | 15 Jan → | ||
| 13–9 | 0.01 | 19% | 13 Jan → | ||
| 13–2 | 0.05 | 36% | 12 Jan → | ||
| 3–13 | -0.06 | 26% | 12 Jan → | ||
| 13–8 | 0.04 | 22% | 12 Jan → | ||
| 13–7 | -0.02 | 20% | 12 Jan → | ||
| 8–13 | 0.01 | 18% | 11 Jan → | ||
| 13–16 | -0.04 | 25% | 11 Jan → | ||
| 13–2 | -0.03 | 18% | 11 Jan → | ||
| 13–9 | 0.08 | 31% | 9 Jan → | ||
| 13–11 | 0.01 | 30% | 7 Jan → | ||
| 13–1 | 0.08 | 22% | 4 Jan → | ||
| 13–9 | 0.05 | 22% | 2 Jan → | ||
| 13–9 | 0.00 | 24% | 2 Jan → | ||
| 13–8 | 0.00 | 19% | 2 Jan → | ||
| 13–5 | 0.06 | 28% | 1 Jan → | ||
| 13–11 | -0.01 | 17% | 1 Jan → | ||
| 13–6 | 0.10 | 25% | 31 Dec → | ||
| 8–13 | 0.08 | 27% | 30 Dec → | ||
| 16–12 | 0.05 | 29% | 30 Dec → | ||
| 13–11 | 0.04 | 25% | 30 Dec → | ||
| 4–10 | 0.08 | 28% | 30 Dec → | ||
| 13–4 | 0.04 | 19% | 29 Dec → | ||
| 13–6 | 0.01 | 13% | 29 Dec → | ||
| 16–14 | 0.00 | 18% | 29 Dec → | ||
| 13–8 | 0.05 | 30% | 29 Dec → | ||
| 11–13 | 0.03 | 23% | 29 Dec → | ||
| 10–13 | -0.01 | 22% | 28 Dec → | ||
| 10–13 | 0.06 | 21% | 28 Dec → | ||
| 13–5 | 0.03 | 24% | 27 Dec → | ||
| 13–3 | 0.12 | 17% | 26 Dec → | ||
| 14–16 | 0.05 | 22% | 26 Dec → | ||
| 9–13 | -0.03 | 15% | 25 Dec → | ||
| 13–7 | 0.02 | 28% | 25 Dec → | ||
| 13–8 | 0.08 | 19% | 25 Dec → | ||
| 13–11 | 0.08 | 24% | 24 Dec → | ||
| 13–11 | 0.01 | 33% | 24 Dec → | ||
| 11–13 | 0.00 | 25% | 18 Dec → | ||
| 10–13 | 0.03 | 22% | 13 Dec → | ||
| 11–13 | -0.02 | 23% | 13 Dec → | ||
| 7–13 | -0.01 | 11% | 12 Dec → | ||
| 10–13 | 0.00 | 17% | 12 Dec → | ||
| 13–6 | 0.11 | 27% | 12 Dec → | ||
| 8–0 | 0.11 | 28% | 12 Dec → | ||
| 9–13 | 0.09 | 36% | 8 Dec → | ||
| 3–13 | -0.07 | 25% | 8 Dec → |
Match data via Leetify.
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