Valennnn — CS2 Stats
NL76561198294650808[U:1:334385080]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 9 among CSDB-tracked players (n=1,109), 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 9 median | Level 10 median | vs Level 10 |
|---|---|---|---|---|
| Headshot rate | 41.9% | 49.0% | 52.0% | 10.2% short |
| Shot accuracy | 18.9% | 13.1% | 13.7% | above |
| Kill/death ratio | 1.14 | 1.08 | 1.08 | above |
| Match win rate | 45.0% | 46.9% | 48.8% | 3.8% short |
This profile matches the typical Level 10 player on 2 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 · +0.04 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 sh1ro 86% playstyle similarity
Most alike: opening-duel success, positioning profile.
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. 658ms 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 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 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 |
|---|---|---|---|---|---|
| C | 21 | 8–13 | 38% | 0.02 | |
| C | 21 | 8–13 | 38% | 0.01 | |
| B | 16 | 8–8 | 50% | 0.01 | |
| B | 13 | 7–6 | 54% | 0.01 | |
| S | 11 | 8–3 | 73% | 0.01 | |
| S | 9 | 6–3 | 67% | 0.02 | |
| D | 8 | 2–6 | 25% | 0.02 | |
| office | — | 1 | 1–0 | 100% | 0.12 |
Across the last 100 tracked matches.
Vertigo is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Vertigo 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 resultsLLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 176 | 49% | 1.13 | 16.0 |
| Dust2 | 114 | 47% | 1.22 | 17.8 |
| Anubis | 113 | 50% | 1.20 | 17.8 |
| Ancient | 107 | 45% | 1.13 | 17.6 |
| Inferno | 71 | 56% | 1.15 | 14.7 |
| Nuke | 16 | 50% | 1.18 | 18.8 |
| Train | 10 | 50% | 1.35 | 16.5 |
| Vertigo | 5 | 40% | 1.24 | 15.2 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 5–13 | 0.02 | 18% | 4 Aug → | ||
| 13–1 | 0.04 | 20% | 31 Jul → | ||
| 13–9 | -0.00 | 11% | 31 Jul → | ||
| 7–13 | 0.02 | 21% | 16 Jul → | ||
| 13–7 | 0.07 | 8% | 16 Jul → | ||
| 13–10 | 0.05 | 18% | 14 Jul → | ||
| 8–13 | -0.06 | 12% | 11 Jul → | ||
| 10–3 | 0.09 | 24% | 11 Jul → | ||
| 11–13 | 0.08 | 16% | 11 Jul → | ||
| 10–13 | 0.03 | 15% | 9 Jul → | ||
| 13–6 | 0.07 | 20% | 6 Jul → | ||
| 16–14 | -0.02 | 35% | 2 May → | ||
| 8–13 | -0.01 | 13% | 3 Apr → | ||
| 5–13 | -0.04 | 15% | 3 Apr → | ||
| 3–9 | -0.04 | 64% | 2 Apr → | ||
| 13–10 | -0.06 | 11% | 28 Mar → | ||
| 16–14 | -0.03 | 21% | 28 Mar → | ||
| 13–7 | 0.04 | 18% | 28 Mar → | ||
| 6–13 | -0.06 | 24% | 28 Feb → | ||
| 13–10 | 0.04 | 23% | 21 Feb → | ||
| 13–5 | 0.04 | 22% | 17 Feb → | ||
| 13–10 | -0.05 | 20% | 26 Sept → | ||
| 12–15 | 0.03 | 24% | 9 Mar → | ||
| 14–16 | -0.02 | 16% | 14 Feb → | ||
| 9–13 | -0.04 | 22% | 13 Feb → | ||
| 9–13 | -0.00 | 19% | 4 Feb → | ||
| 10–13 | 0.01 | 15% | 28 Jan → | ||
| 13–10 | 0.09 | 17% | 28 Jan → | ||
| 13–2 | 0.06 | 34% | 25 Jan → | ||
| 13–11 | 0.05 | 30% | 21 Jan → | ||
| 7–13 | -0.05 | 31% | 17 Jan → | ||
| 0–13 | -0.03 | 40% | 17 Jan → | ||
| 5–13 | -0.03 | 24% | 16 Jan → | ||
| 13–8 | 0.13 | 24% | 15 Jan → | ||
| 16–14 | 0.08 | 10% | 11 Jan → | ||
| 13–6 | -0.02 | 16% | 10 Jan → | ||
| 6–13 | -0.01 | 19% | 10 Jan → | ||
| 11–13 | -0.03 | 14% | 6 Jan → | ||
| 9–13 | -0.00 | 17% | 6 Jan → | ||
| 11–13 | 0.00 | 22% | 6 Jan → | ||
| 22–20 | -0.01 | 12% | 6 Jan → | ||
| 16–13 | 0.02 | 17% | 1 Jan → | ||
| 13–5 | -0.07 | 39% | 24 Dec → | ||
| 11–13 | 0.00 | 16% | 23 Dec → | ||
| 13–5 | -0.04 | 18% | 22 Dec → | ||
| 13–10 | 0.02 | 18% | 21 Dec → | ||
| 13–6 | 0.04 | 18% | 19 Dec → | ||
| 13–5 | 0.06 | 26% | 19 Dec → | ||
| 13–8 | 0.06 | 11% | 19 Dec → | ||
| 13–4 | 0.03 | 16% | 19 Dec → | ||
| 13–7 | 0.05 | 9% | 17 Dec → | ||
| 12–16 | -0.01 | 16% | 13 Dec → | ||
| 13–2 | 0.03 | 29% | 11 Dec → | ||
| 10–13 | 0.04 | 12% | 10 Dec → | ||
| 13–3 | 0.03 | 27% | 8 Dec → | ||
| 2–13 | -0.06 | 18% | 29 Nov → | ||
| 13–3 | 0.01 | 16% | 25 Nov → | ||
| 13–9 | -0.03 | 20% | 25 Sept → | ||
| 13–5 | 0.20 | 25% | 22 Sept → | ||
| 3–10 | 0.12 | 20% | 18 Sept → | ||
| 13–11 | 0.06 | 22% | 18 Sept → | ||
| office | 13–4 | 0.12 | 18% | 16 Sept → | |
| 13–10 | 0.04 | 19% | 16 Sept → | ||
| 10–13 | 0.03 | 14% | 16 Sept → | ||
| 3–13 | -0.04 | 13% | 16 Sept → | ||
| 8–13 | 0.05 | 17% | 14 Sept → | ||
| 10–13 | 0.05 | 33% | 13 Sept → | ||
| 13–11 | 0.03 | 11% | 13 Sept → | ||
| 2–13 | 0.02 | 8% | 13 Sept → | ||
| 11–13 | -0.02 | 14% | 10 Sept → | ||
| 2–13 | -0.07 | 16% | 10 Sept → | ||
| 13–7 | 0.07 | 24% | 9 Sept → | ||
| 15–15 | 0.09 | 22% | 8 Sept → | ||
| 13–7 | 0.03 | 24% | 6 Sept → | ||
| 13–4 | 0.02 | 31% | 5 Sept → | ||
| 8–13 | -0.01 | 21% | 5 Sept → | ||
| 6–13 | -0.08 | 0% | 3 Sept → | ||
| 9–13 | 0.02 | 41% | 3 Sept → | ||
| 13–10 | 0.11 | 38% | 2 Sept → | ||
| 11–13 | -0.05 | 16% | 2 Sept → | ||
| 10–13 | -0.09 | 19% | 2 Sept → | ||
| 3–13 | -0.06 | 27% | 30 Aug → | ||
| 6–13 | 0.02 | 29% | 29 Aug → | ||
| 11–13 | -0.05 | 16% | 29 Aug → | ||
| 9–13 | 0.02 | 29% | 28 Aug → | ||
| 8–13 | 0.08 | 20% | 28 Aug → | ||
| 13–8 | 0.12 | 26% | 28 Aug → | ||
| 13–3 | 0.05 | 16% | 27 Aug → | ||
| 15–15 | 0.04 | 20% | 27 Aug → | ||
| 10–13 | 0.07 | 26% | 27 Aug → | ||
| 13–4 | -0.01 | 9% | 25 Aug → | ||
| 0–13 | -0.04 | 36% | 25 Aug → | ||
| 13–10 | -0.04 | 14% | 24 Aug → | ||
| 13–10 | -0.02 | 38% | 24 Aug → | ||
| 7–13 | -0.00 | 21% | 23 Aug → | ||
| 13–2 | 0.18 | 23% | 23 Aug → | ||
| 0–13 | -0.11 | 30% | 21 Aug → | ||
| 6–13 | -0.08 | 9% | 21 Aug → | ||
| 10–13 | -0.03 | 12% | 18 Aug → | ||
| 15–15 | -0.00 | 13% | 14 Aug → |
Match data via Leetify.