Fabricio — CS2 Stats
CR76561198834485029[U:1:874219301]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 2 among CSDB-tracked players (n=338), 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 2 median | vs Level 2 |
|---|---|---|---|
| Headshot rate | 44.6% | 42.1% | above |
| Shot accuracy | 8.7% | 12.9% | 4.1% short |
| Kill/death ratio | 0.75 | 1.00 | 0.25 short |
| Match win rate | 41.4% | 42.9% | 1.5% short |
This profile matches the typical Level 2 player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 2 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 · +0.04 avg rating
Player DNA
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 NiKo 75% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
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
Reaction time. 622ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 67% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 3.5/10 (Learning), 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 |
|---|---|---|---|---|---|
| A | 34 | 19–15 | 56% | -0.00 | |
| D | 25 | 8–17 | 32% | -0.01 | |
| S | 17 | 11–6 | 65% | -0.02 | |
| C | 9 | 4–5 | 44% | -0.01 | |
| B | 8 | 4–4 | 50% | -0.00 | |
| D | 5 | 1–4 | 20% | 0.00 | |
| — | 1 | 1–0 | 100% | 0.03 | |
| — | 1 | 0–1 | 0% | -0.03 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Nuke 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 resultsLWWLL
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 2.4617 — below the 4 mark we flag
- 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 26.6919% — 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 | |
|---|---|---|---|---|---|
| 7–13 | -0.04 | 15% | 27 Aug → | ||
| 16–13 | -0.00 | 13% | 27 Aug → | ||
| 9–0 | 0.06 | 43% | 27 Aug → | ||
| 10–13 | 0.02 | 22% | 27 Aug → | ||
| 6–13 | 0.01 | 21% | 27 Aug → | ||
| 15–15 | 0.00 | 14% | 26 Aug → | ||
| 3–13 | -0.08 | 24% | 26 Aug → | ||
| 13–6 | -0.01 | 15% | 26 Aug → | ||
| 13–10 | 0.02 | 17% | 20 Aug → | ||
| 10–13 | 0.03 | 17% | 19 Aug → | ||
| 16–12 | 0.03 | 25% | 18 Aug → | ||
| 7–13 | -0.05 | 16% | 13 Aug → | ||
| 15–15 | -0.02 | 13% | 5 Aug → | ||
| 8–13 | -0.06 | 12% | 4 Aug → | ||
| 7–9 | -0.03 | 21% | 4 Aug → | ||
| 15–15 | -0.06 | 11% | 4 Aug → | ||
| 7–13 | -0.10 | 11% | 4 Aug → | ||
| 13–7 | -0.00 | 10% | 3 Aug → | ||
| 13–10 | 0.02 | 28% | 3 Aug → | ||
| 4–13 | -0.07 | 24% | 3 Aug → | ||
| 7–9 | -0.03 | 18% | 3 Aug → | ||
| 13–8 | -0.04 | 16% | 2 Aug → | ||
| 13–7 | -0.05 | 14% | 2 Aug → | ||
| 9–6 | 0.03 | 27% | 29 Jul → | ||
| 5–13 | -0.02 | 15% | 29 Jul → | ||
| 15–15 | -0.04 | 15% | 27 Jul → | ||
| 10–13 | 0.01 | 18% | 27 Jul → | ||
| 1–13 | -0.08 | 13% | 26 Jul → | ||
| 9–13 | -0.02 | 15% | 26 Jul → | ||
| 15–15 | -0.05 | 14% | 26 Jul → | ||
| 3–9 | -0.16 | 15% | 23 Jul → | ||
| 13–11 | -0.01 | 17% | 23 Jun → | ||
| 13–2 | 0.02 | 21% | 12 Jun → | ||
| 3–13 | 0.00 | 39% | 12 Jun → | ||
| 13–11 | 0.09 | 38% | 11 Jun → | ||
| 7–13 | -0.04 | 11% | 20 Mar → | ||
| 8–9 | 0.04 | 23% | 19 Mar → | ||
| 7–13 | -0.03 | 7% | 19 Mar → | ||
| 10–13 | 0.03 | 11% | 19 Mar → | ||
| 13–8 | 0.02 | 10% | 19 Mar → | ||
| 11–13 | -0.02 | 16% | 18 Mar → | ||
| 11–13 | -0.01 | 23% | 18 Mar → | ||
| 13–6 | -0.03 | 7% | 16 Mar → | ||
| 13–8 | -0.07 | 6% | 16 Mar → | ||
| 10–13 | -0.02 | 22% | 16 Mar → | ||
| 13–7 | -0.04 | 18% | 16 Mar → | ||
| 13–3 | 0.04 | 22% | 16 Mar → | ||
| 8–13 | -0.05 | 21% | 16 Mar → | ||
| 16–14 | -0.06 | 19% | 14 Mar → | ||
| 7–13 | -0.02 | 11% | 14 Mar → | ||
| 13–8 | -0.04 | 16% | 14 Mar → | ||
| 13–7 | -0.00 | 16% | 14 Mar → | ||
| 13–3 | 0.08 | 17% | 14 Mar → | ||
| 13–7 | 0.05 | 17% | 14 Mar → | ||
| 10–1 | 0.01 | 21% | 14 Mar → | ||
| 13–11 | -0.01 | 23% | 14 Mar → | ||
| 13–8 | -0.01 | 20% | 13 Mar → | ||
| 13–11 | 0.06 | 8% | 13 Mar → | ||
| 10–13 | -0.06 | 19% | 12 Mar → | ||
| 9–13 | -0.11 | 14% | 12 Mar → | ||
| 13–8 | -0.01 | 13% | 12 Mar → | ||
| 4–13 | -0.03 | 18% | 12 Mar → | ||
| 7–13 | -0.02 | 15% | 12 Mar → | ||
| 13–11 | -0.02 | 13% | 12 Mar → | ||
| 13–11 | -0.04 | 10% | 11 Mar → | ||
| 4–13 | 0.04 | 13% | 11 Mar → | ||
| 13–11 | 0.00 | 8% | 11 Mar → | ||
| 10–13 | -0.02 | 21% | 10 Mar → | ||
| 5–13 | 0.03 | 14% | 10 Mar → | ||
| 5–13 | 0.02 | 19% | 10 Mar → | ||
| 13–11 | 0.03 | 18% | 9 Mar → | ||
| 11–13 | -0.02 | 15% | 9 Mar → | ||
| 13–8 | 0.03 | 16% | 9 Mar → | ||
| 6–13 | -0.01 | 20% | 9 Mar → | ||
| 8–13 | -0.06 | 14% | 7 Mar → | ||
| 2–13 | -0.05 | 11% | 7 Mar → | ||
| 13–9 | -0.04 | 37% | 7 Mar → | ||
| 13–11 | -0.01 | 18% | 7 Mar → | ||
| 6–13 | -0.02 | 33% | 7 Mar → | ||
| 13–1 | 0.17 | 25% | 7 Mar → | ||
| 13–6 | 0.01 | 30% | 6 Mar → | ||
| 13–10 | -0.01 | 22% | 6 Mar → | ||
| 13–8 | 0.00 | 13% | 4 Mar → | ||
| 7–13 | 0.05 | 13% | 4 Mar → | ||
| 8–13 | -0.00 | 15% | 4 Mar → | ||
| 13–10 | -0.01 | 8% | 4 Mar → | ||
| 11–13 | -0.01 | 20% | 3 Mar → | ||
| 13–8 | -0.04 | 13% | 3 Mar → | ||
| 9–13 | -0.02 | 11% | 3 Mar → | ||
| 13–9 | 0.08 | 13% | 3 Mar → | ||
| 11–13 | 0.01 | 13% | 3 Mar → | ||
| 6–13 | -0.02 | 15% | 1 Mar → | ||
| 10–13 | -0.04 | 9% | 28 Feb → | ||
| 5–13 | 0.01 | 13% | 28 Feb → | ||
| 13–7 | -0.04 | 11% | 27 Feb → | ||
| 13–7 | 0.08 | 15% | 27 Feb → | ||
| 13–7 | -0.00 | 20% | 27 Feb → | ||
| 16–13 | 0.01 | 9% | 27 Feb → | ||
| 13–4 | -0.02 | 8% | 27 Feb → | ||
| 13–16 | -0.06 | 16% | 27 Feb → |
Match data via Leetify.