FRVSE — CS2 Stats
76561198040195070[U:1:79929342]
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), 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 | vs Level 10 |
|---|---|---|---|
| Headshot rate | 40.0% | 52.8% | 12.8% short |
| Shot accuracy | 15.9% | 13.7% | above |
| Kill/death ratio | 1.02 | 1.08 | 0.06 short |
| Match win rate | 46.8% | 49.2% | 2.3% short |
This profile matches the typical Level 10 player on 1 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 10 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 · -0.03 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 Twistzz 93% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: 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
T-side openings. Opening success drops from 53% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.
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 6.1/10 (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 |
|---|---|---|---|---|---|
| A | 21 | 13–8 | 62% | -0.00 | |
| C | 20 | 7–13 | 35% | -0.01 | |
| C | 17 | 7–10 | 41% | 0.01 | |
| D | 10 | 1–9 | 10% | -0.03 | |
| C | 9 | 4–5 | 44% | -0.01 | |
| S | 8 | 6–2 | 75% | 0.02 | |
| B | 8 | 4–4 | 50% | -0.01 | |
| D | 6 | 2–4 | 33% | -0.05 | |
| aztec_hr | — | 1 | 1–0 | 100% | 0.04 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (10% over 10). 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 resultsWWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 80 | 60% | 1.06 | 15.2 |
| Dust2 | 76 | 47% | 0.93 | 14.2 |
| Nuke | 56 | 54% | 0.97 | 13.9 |
| Anubis | 53 | 55% | 0.93 | 14.5 |
| Mirage | 52 | 50% | 1.07 | 15.3 |
| Ancient | 34 | 50% | 1.00 | 14.3 |
| Cache | 24 | 50% | 0.92 | 14.1 |
| Overpass | 13 | 54% | 1.07 | 14.7 |
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 30.0521% — 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.
10% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 10–13 | -0.02 | 20% | 25 Aug → | ||
| 13–11 | 0.09 | 20% | 24 Aug → | ||
| 8–13 | -0.05 | 18% | 24 Aug → | ||
| 9–13 | 0.01 | 25% | 11 Aug → | ||
| 13–11 | 0.07 | 15% | 11 Aug → | ||
| 13–8 | -0.02 | 7% | 11 Aug → | ||
| 13–9 | 0.01 | 15% | 10 Aug → | ||
| 5–13 | -0.10 | 9% | 7 Aug → | ||
| 13–8 | 0.02 | 20% | 7 Aug → | ||
| 9–13 | -0.06 | 21% | 6 Aug → | ||
| 13–16 | -0.04 | 13% | 4 Aug → | ||
| 10–13 | -0.00 | 8% | 3 Aug → | ||
| 13–10 | 0.02 | 17% | 29 Jul → | ||
| 11–13 | 0.00 | 22% | 29 Jul → | ||
| 13–6 | 0.03 | 15% | 27 Jul → | ||
| 13–6 | 0.03 | 16% | 22 Jul → | ||
| 11–13 | 0.02 | 17% | 22 Jul → | ||
| 13–8 | 0.03 | 18% | 20 Jul → | ||
| 13–8 | 0.04 | 17% | 17 Jul → | ||
| 13–9 | 0.11 | 16% | 14 Jul → | ||
| 7–13 | -0.07 | 19% | 3 Jul → | ||
| 13–6 | 0.06 | 7% | 3 Jul → | ||
| 11–13 | -0.01 | 17% | 3 Jul → | ||
| 13–11 | -0.07 | 37% | 21 Jun → | ||
| 3–13 | -0.15 | 32% | 21 Jun → | ||
| 11–13 | -0.02 | 21% | 20 Jun → | ||
| 12–16 | -0.01 | 7% | 20 Jun → | ||
| aztec_hr | 13–9 | 0.04 | 12% | 20 Jun → | |
| 10–13 | 0.02 | 14% | 6 Jun → | ||
| 16–14 | 0.03 | 11% | 3 Jun → | ||
| 12–7 | 0.01 | 18% | 20 May → | ||
| 8–2 | -0.03 | 7% | 20 May → | ||
| 5–13 | -0.06 | 16% | 20 May → | ||
| 6–13 | -0.04 | 14% | 20 May → | ||
| 13–9 | 0.09 | 26% | 20 May → | ||
| 11–13 | 0.02 | 18% | 19 May → | ||
| 9–13 | 0.01 | 17% | 19 May → | ||
| 6–13 | -0.05 | 15% | 18 May → | ||
| 6–13 | -0.05 | 21% | 18 May → | ||
| 13–1 | -0.06 | 13% | 18 May → | ||
| 13–16 | -0.02 | 16% | 18 May → | ||
| 8–13 | -0.07 | 5% | 15 May → | ||
| 13–10 | -0.03 | 7% | 13 May → | ||
| 10–13 | -0.07 | 24% | 12 May → | ||
| 2–13 | -0.06 | 25% | 11 May → | ||
| 13–3 | 0.04 | 15% | 11 May → | ||
| 13–7 | 0.05 | 12% | 10 May → | ||
| 10–13 | -0.06 | 25% | 2 May → | ||
| 13–7 | 0.08 | 18% | 2 May → | ||
| 8–13 | -0.04 | 30% | 2 May → | ||
| 10–13 | -0.05 | 22% | 1 May → | ||
| 13–8 | -0.01 | 18% | 1 May → | ||
| 9–13 | -0.00 | 21% | 1 May → | ||
| 13–6 | 0.05 | 16% | 1 May → | ||
| 13–5 | 0.06 | 16% | 29 Apr → | ||
| 13–0 | -0.02 | 43% | 29 Apr → | ||
| 13–5 | -0.01 | 19% | 29 Apr → | ||
| 13–5 | -0.03 | 9% | 28 Apr → | ||
| 9–13 | -0.07 | 18% | 28 Apr → | ||
| 11–13 | -0.04 | 26% | 27 Apr → | ||
| 13–10 | 0.03 | 22% | 23 Apr → | ||
| 7–13 | -0.00 | 18% | 22 Apr → | ||
| 13–8 | 0.05 | 27% | 22 Apr → | ||
| 16–14 | -0.04 | 23% | 22 Apr → | ||
| 14–16 | -0.03 | 22% | 18 Apr → | ||
| 16–12 | -0.06 | 17% | 18 Apr → | ||
| 8–13 | 0.09 | 27% | 18 Apr → | ||
| 10–13 | 0.04 | 28% | 18 Apr → | ||
| 10–13 | -0.00 | 14% | 17 Apr → | ||
| 5–13 | -0.04 | 41% | 17 Apr → | ||
| 4–13 | 0.03 | 28% | 17 Apr → | ||
| 9–13 | 0.03 | 46% | 14 Apr → | ||
| 13–3 | 0.09 | 31% | 14 Apr → | ||
| 15–15 | -0.02 | 14% | 14 Apr → | ||
| 5–13 | -0.01 | 23% | 14 Apr → | ||
| 13–10 | -0.02 | 25% | 14 Apr → | ||
| 13–8 | 0.02 | 14% | 14 Apr → | ||
| 13–9 | 0.04 | 13% | 13 Apr → | ||
| 4–13 | -0.08 | 16% | 13 Apr → | ||
| 1–13 | -0.07 | 11% | 13 Apr → | ||
| 8–13 | -0.02 | 18% | 13 Apr → | ||
| 9–13 | -0.02 | 20% | 13 Apr → | ||
| 10–13 | 0.01 | 16% | 13 Apr → | ||
| 6–13 | -0.02 | 40% | 13 Apr → | ||
| 13–4 | -0.00 | 28% | 13 Apr → | ||
| 5–13 | -0.06 | 13% | 13 Apr → | ||
| 13–5 | -0.04 | 12% | 11 Apr → | ||
| 4–13 | -0.05 | 18% | 10 Apr → | ||
| 6–2 | 0.11 | 8% | 10 Apr → | ||
| 11–13 | -0.03 | 20% | 10 Apr → | ||
| 4–0 | 0.00 | 56% | 10 Apr → | ||
| 11–13 | -0.01 | 14% | 9 Apr → | ||
| 13–6 | -0.02 | 19% | 9 Apr → | ||
| 2–13 | -0.01 | 27% | 9 Apr → | ||
| 15–15 | -0.01 | 15% | 9 Apr → | ||
| 13–8 | 0.01 | 14% | 9 Apr → | ||
| 13–7 | -0.02 | 44% | 9 Apr → | ||
| 7–13 | -0.01 | 17% | 9 Apr → | ||
| 13–9 | 0.03 | 18% | 9 Apr → | ||
| 3–13 | -0.11 | 6% | 9 Apr → |
Match data via Leetify.
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