Faarlz — CS2 Stats
76561198256002782[U:1:295737054]
How this compares with the same rank
Median values for Level 5 among CSDB-tracked players (n=918), 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 5 median | Level 6 median | vs Level 6 |
|---|---|---|---|---|
| Headshot rate | 35.4% | 44.2% | 44.9% | 9.5% short |
| Shot accuracy | 15.9% | 11.2% | 11.8% | above |
| Kill/death ratio | 0.76 | 1.04 | 1.04 | 0.28 short |
| Match win rate | 42.6% | 45.3% | 45.3% | 2.6% short |
This profile matches the typical Level 6 player on 1 of 4 comparable metrics.
Widest gap: Kill/death ratio. That is the metric furthest from the Level 6 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: -20pp win rate · +0.00 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 81% playstyle similarity
Most alike: utility contribution, opening-duel success.
Where you differ: lower positioning profile; 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. 647ms 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 4.7/10 (Developing), 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 |
|---|---|---|---|---|---|
| B | 29 | 13–16 | 45% | -0.00 | |
| B | 28 | 13–15 | 46% | 0.00 | |
| A | 12 | 7–5 | 58% | -0.01 | |
| D | 12 | 4–8 | 33% | -0.02 | |
| C | 8 | 3–5 | 38% | -0.00 | |
| A | 5 | 3–2 | 60% | 0.03 | |
| — | 4 | 1–3 | 25% | -0.01 | |
| — | 2 | 0–2 | 0% | -0.00 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Inferno 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 resultsLLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 40 | 52% | 1.24 | 16.6 |
| Dust2 | 16 | 50% | 1.14 | 18.3 |
| Ancient | 14 | 50% | 1.17 | 16.6 |
| Inferno | 10 | 40% | 0.89 | 16.5 |
| Nuke | 10 | 60% | 1.19 | 19.7 |
| Anubis | 6 | 83% | 1.31 | 17.5 |
| Overpass | 3 | 33% | 1.00 | 15.7 |
| Train | 1 | 0% | 1.82 | 31.0 |
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.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.1429% — below the 15% 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 27.4692% — 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.
33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 15–15 | -0.02 | 7% | 29 Aug → | ||
| 13–3 | 0.06 | 7% | 29 Aug → | ||
| 10–13 | -0.05 | 10% | 28 Aug → | ||
| 11–13 | 0.02 | 10% | 27 Aug → | ||
| 11–13 | 0.03 | 20% | 25 Aug → | ||
| 13–4 | -0.01 | 10% | 22 Aug → | ||
| 4–13 | -0.02 | 17% | 4 Aug → | ||
| 10–13 | -0.02 | 7% | 3 Aug → | ||
| 8–13 | -0.01 | 17% | 2 Aug → | ||
| 2–13 | 0.01 | 38% | 2 Aug → | ||
| 13–10 | -0.08 | 15% | 1 Aug → | ||
| 13–7 | -0.01 | 5% | 31 Jul → | ||
| 13–8 | 0.01 | 16% | 31 Jul → | ||
| 14–16 | -0.02 | 14% | 29 Jul → | ||
| 10–13 | -0.00 | 18% | 28 Jul → | ||
| 8–13 | -0.02 | 24% | 28 Jul → | ||
| 13–8 | 0.01 | 11% | 26 Jul → | ||
| 6–13 | 0.03 | 25% | 26 Jul → | ||
| 10–13 | 0.05 | 18% | 26 Jul → | ||
| 7–13 | 0.02 | 16% | 24 Jul → | ||
| 9–13 | 0.03 | 23% | 24 Jul → | ||
| 13–10 | -0.03 | 15% | 21 Jul → | ||
| 13–7 | 0.00 | 16% | 20 Jul → | ||
| 13–11 | -0.00 | 16% | 19 Jul → | ||
| 13–11 | -0.05 | 4% | 18 Jul → | ||
| 13–11 | -0.01 | 9% | 17 Jul → | ||
| 16–13 | -0.04 | 14% | 17 Jul → | ||
| 8–13 | 0.01 | 12% | 17 Jul → | ||
| 10–13 | -0.10 | 14% | 17 Jul → | ||
| 10–13 | 0.01 | 8% | 17 Jul → | ||
| 0–7 | -0.05 | 50% | 17 Jul → | ||
| 11–13 | -0.06 | 13% | 16 Jul → | ||
| 13–9 | 0.09 | 14% | 16 Jul → | ||
| 13–1 | -0.06 | 30% | 16 Jul → | ||
| 5–13 | -0.12 | 19% | 16 Jul → | ||
| 13–9 | 0.01 | 26% | 16 Jul → | ||
| 13–8 | 0.00 | 27% | 15 Jul → | ||
| 7–13 | -0.05 | 22% | 15 Jul → | ||
| 13–8 | -0.02 | 29% | 15 Jul → | ||
| 13–3 | 0.06 | 19% | 14 Jul → | ||
| 7–13 | 0.02 | 10% | 14 Jul → | ||
| 11–13 | 0.01 | 20% | 14 Jul → | ||
| 16–14 | 0.01 | 24% | 14 Jul → | ||
| 9–13 | 0.00 | 24% | 12 Jul → | ||
| 13–8 | -0.03 | 12% | 11 Jul → | ||
| 13–2 | 0.15 | 14% | 10 Jul → | ||
| 13–3 | -0.06 | 14% | 8 Jul → | ||
| 1–8 | -0.03 | 43% | 7 Jul → | ||
| 13–7 | 0.10 | 20% | 6 Jul → | ||
| 14–16 | 0.06 | 15% | 5 Jul → | ||
| 13–7 | 0.02 | 11% | 5 Jul → | ||
| 16–12 | -0.01 | 13% | 4 Jul → | ||
| 3–13 | -0.05 | 3% | 4 Jul → | ||
| 7–13 | -0.10 | 13% | 30 Jun → | ||
| 16–14 | -0.01 | 18% | 29 Jun → | ||
| 13–4 | 0.16 | 21% | 28 Jun → | ||
| 11–13 | 0.05 | 11% | 28 Jun → | ||
| 6–13 | 0.04 | 14% | 24 Jun → | ||
| 3–13 | -0.06 | 26% | 22 Jun → | ||
| 11–13 | 0.01 | 24% | 22 Jun → | ||
| 13–4 | 0.18 | 9% | 21 Jun → | ||
| 13–11 | 0.00 | 13% | 21 Jun → | ||
| 8–13 | -0.05 | 15% | 20 Jun → | ||
| 11–13 | 0.02 | 27% | 19 Jun → | ||
| 7–13 | 0.02 | 13% | 19 Jun → | ||
| 13–11 | -0.04 | 15% | 14 Jun → | ||
| 13–9 | -0.06 | 12% | 10 Jun → | ||
| 2–13 | -0.03 | 35% | 7 Jun → | ||
| 6–13 | -0.06 | 18% | 31 May → | ||
| 13–10 | 0.00 | 25% | 31 May → | ||
| 9–13 | -0.02 | 17% | 16 May → | ||
| 0–6 | -0.07 | 0% | 13 May → | ||
| 11–13 | 0.03 | 17% | 12 May → | ||
| 4–10 | -0.02 | 8% | 10 May → | ||
| 11–13 | -0.05 | 24% | 10 May → | ||
| 9–13 | 0.02 | 24% | 9 May → | ||
| 11–13 | 0.04 | 14% | 8 May → | ||
| 13–9 | 0.06 | 15% | 7 May → | ||
| 13–2 | -0.01 | 13% | 7 May → | ||
| 13–6 | 0.06 | 15% | 7 May → | ||
| 1–13 | -0.01 | 5% | 6 May → | ||
| 8–13 | 0.03 | 25% | 5 May → | ||
| 7–0 | 0.01 | 50% | 3 May → | ||
| 5–13 | -0.07 | 14% | 3 May → | ||
| 13–7 | 0.00 | 32% | 3 May → | ||
| 13–9 | 0.12 | 9% | 2 May → | ||
| 10–13 | -0.01 | 14% | 2 May → | ||
| 13–8 | 0.03 | 19% | 1 May → | ||
| 14–16 | -0.03 | 12% | 26 Apr → | ||
| 12–16 | -0.08 | 25% | 24 Apr → | ||
| 13–9 | -0.02 | 12% | 24 Apr → | ||
| 13–6 | 0.00 | 20% | 22 Apr → | ||
| 4–13 | 0.01 | 14% | 21 Apr → | ||
| 7–13 | -0.04 | 11% | 20 Apr → | ||
| 9–13 | -0.02 | 22% | 20 Apr → | ||
| 4–13 | 0.02 | 13% | 19 Apr → | ||
| 13–8 | -0.01 | 9% | 17 Apr → | ||
| 13–2 | 0.13 | 19% | 15 Apr → | ||
| 1–13 | -0.10 | 15% | 14 Apr → | ||
| 13–8 | -0.03 | 15% | 14 Apr → |
Match data via Leetify.