WillToven — CS2 Stats
RU76561198058975338[U:1:98709610]Steam profile ↗✓ No bans
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 | 43.0% | 52.0% |
| Shot accuracy | 17.4% | 13.7% |
| Kill/death ratio | 1.27 | 1.08 |
| Match win rate | 46.6% | 48.8% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · -0.00 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong CT-side openerLimited utility dependence
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 jL 92% playstyle similarity
Most alike: aim profile, opening-duel success.
Where you differ: lower utility contribution.
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
Strengths
Aim. Aim score of 92 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 55% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.
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 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 | 30 | 17–13 | 57% | 0.00 | |
| C | 30 | 11–19 | 37% | 0.00 | |
| B | 16 | 8–8 | 50% | 0.01 | |
| A | 8 | 5–3 | 63% | -0.00 | |
| D | 8 | 2–6 | 25% | 0.02 | |
| — | 4 | 0–4 | 0% | 0.02 | |
| — | 4 | 4–0 | 100% | 0.04 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (25% over 8). 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 resultsWLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 63 | 60% | 1.25 | 17.5 |
| Ancient | 36 | 47% | 1.37 | 18.0 |
| Dust2 | 32 | 69% | 1.22 | 19.2 |
| Train | 14 | 50% | 1.15 | 15.6 |
| Overpass | 9 | 78% | 1.90 | 19.9 |
| Nuke | 9 | 56% | 1.00 | 14.9 |
| Inferno | 8 | 50% | 0.98 | 13.9 |
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 34.4461% — 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.
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 | |
|---|---|---|---|---|---|
| 13–8 | -0.01 | 34% | 27 Aug → | ||
| 15–15 | 0.05 | 22% | 24 Aug → | ||
| 13–8 | 0.06 | 26% | 24 Aug → | ||
| 9–13 | 0.01 | 21% | 24 Aug → | ||
| 6–13 | -0.03 | 22% | 24 Aug → | ||
| 13–6 | 0.05 | 32% | 23 Aug → | ||
| 13–1 | 0.06 | 30% | 23 Aug → | ||
| 13–3 | 0.12 | 35% | 23 Aug → | ||
| 13–7 | -0.00 | 22% | 23 Aug → | ||
| 4–13 | -0.07 | 4% | 23 Aug → | ||
| 13–6 | 0.04 | 15% | 22 Aug → | ||
| 10–13 | 0.08 | 38% | 22 Aug → | ||
| 13–4 | 0.01 | 20% | 22 Aug → | ||
| 13–9 | 0.02 | 37% | 20 Aug → | ||
| 9–13 | 0.05 | 30% | 20 Aug → | ||
| 6–13 | 0.01 | 42% | 19 Aug → | ||
| 13–5 | 0.02 | 16% | 19 Aug → | ||
| 13–7 | 0.02 | 27% | 10 Aug → | ||
| 6–13 | -0.08 | 14% | 26 Jul → | ||
| 11–13 | 0.09 | 24% | 25 Jul → | ||
| 13–0 | 0.02 | 28% | 25 Jul → | ||
| 2–13 | -0.01 | 19% | 25 Jul → | ||
| 7–13 | 0.02 | 38% | 25 Jul → | ||
| 13–8 | 0.05 | 23% | 25 Jul → | ||
| 13–10 | -0.02 | 17% | 21 Jul → | ||
| 9–13 | 0.05 | 23% | 20 Jul → | ||
| 8–13 | 0.01 | 24% | 21 Jun → | ||
| 6–13 | -0.02 | 24% | 21 Jun → | ||
| 13–6 | -0.02 | 22% | 21 Jun → | ||
| 5–13 | -0.02 | 29% | 8 Jun → | ||
| 16–13 | -0.03 | 24% | 21 May → | ||
| 8–13 | 0.04 | 29% | 13 May → | ||
| 13–7 | 0.06 | 30% | 13 May → | ||
| 8–13 | -0.01 | 13% | 12 May → | ||
| 5–13 | 0.05 | 34% | 11 May → | ||
| 13–7 | -0.01 | 20% | 11 May → | ||
| 13–9 | 0.02 | 21% | 30 Apr → | ||
| 7–13 | -0.02 | 37% | 28 Apr → | ||
| 13–2 | 0.06 | 25% | 28 Apr → | ||
| 14–16 | 0.03 | 17% | 28 Apr → | ||
| 8–13 | 0.00 | 27% | 28 Apr → | ||
| 7–13 | 0.03 | 19% | 27 Apr → | ||
| 15–15 | -0.01 | 33% | 27 Apr → | ||
| 16–12 | 0.09 | 21% | 27 Apr → | ||
| 13–6 | 0.08 | 27% | 27 Apr → | ||
| 8–13 | -0.01 | 25% | 27 Apr → | ||
| 0–13 | -0.05 | 10% | 24 Apr → | ||
| 13–2 | 0.07 | 23% | 24 Apr → | ||
| 13–8 | 0.03 | 15% | 24 Apr → | ||
| 11–13 | 0.01 | 18% | 24 Apr → | ||
| 9–13 | 0.03 | 22% | 23 Apr → | ||
| 13–11 | 0.01 | 21% | 23 Apr → | ||
| 8–13 | 0.01 | 31% | 22 Apr → | ||
| 13–3 | 0.02 | 11% | 22 Apr → | ||
| 6–13 | -0.02 | 27% | 22 Apr → | ||
| 5–13 | -0.05 | 12% | 21 Apr → | ||
| 7–13 | 0.01 | 22% | 21 Apr → | ||
| 7–13 | -0.07 | 33% | 20 Apr → | ||
| 8–13 | -0.06 | 24% | 20 Apr → | ||
| 9–13 | -0.00 | 26% | 20 Apr → | ||
| 4–13 | 0.04 | 26% | 14 Apr → | ||
| 13–11 | 0.02 | 17% | 13 Apr → | ||
| 13–16 | -0.02 | 31% | 12 Apr → | ||
| 7–13 | 0.00 | 24% | 10 Apr → | ||
| 13–16 | -0.02 | 20% | 8 Apr → | ||
| 13–8 | 0.03 | 20% | 8 Apr → | ||
| 13–11 | -0.07 | 12% | 7 Apr → | ||
| 9–13 | -0.06 | 27% | 4 Apr → | ||
| 11–13 | -0.04 | 13% | 31 Mar → | ||
| 7–13 | -0.05 | 22% | 30 Mar → | ||
| 13–5 | 0.02 | 29% | 26 Mar → | ||
| 5–13 | -0.05 | 35% | 24 Mar → | ||
| 13–10 | -0.02 | 27% | 22 Mar → | ||
| 13–5 | 0.03 | 29% | 22 Mar → | ||
| 15–15 | 0.01 | 18% | 21 Mar → | ||
| 13–9 | 0.05 | 33% | 21 Mar → | ||
| 2–13 | -0.09 | 8% | 21 Mar → | ||
| 3–13 | -0.04 | 28% | 21 Mar → | ||
| 13–9 | -0.04 | 26% | 6 Mar → | ||
| 13–16 | 0.02 | 30% | 7 Feb → | ||
| 4–13 | -0.07 | 26% | 6 Feb → | ||
| 13–2 | 0.06 | 25% | 6 Feb → | ||
| 13–9 | -0.02 | 12% | 6 Feb → | ||
| 13–8 | -0.02 | 32% | 6 Feb → | ||
| 11–13 | 0.04 | 28% | 5 Feb → | ||
| 13–4 | 0.08 | 13% | 5 Feb → | ||
| 11–13 | -0.06 | 13% | 3 Feb → | ||
| 9–13 | 0.02 | 17% | 3 Feb → | ||
| 13–11 | -0.05 | 18% | 2 Feb → | ||
| 13–7 | -0.00 | 20% | 2 Feb → | ||
| 12–16 | 0.01 | 21% | 2 Feb → | ||
| 13–11 | -0.04 | 24% | 1 Feb → | ||
| 13–6 | -0.00 | 13% | 1 Feb → | ||
| 16–14 | 0.01 | 23% | 1 Feb → | ||
| 13–10 | 0.11 | 26% | 1 Feb → | ||
| 13–6 | 0.04 | 31% | 1 Feb → | ||
| 8–13 | -0.04 | 20% | 31 Jan → | ||
| 13–9 | -0.01 | 37% | 31 Jan → | ||
| 13–9 | 0.04 | 23% | 30 Jan → | ||
| 7–13 | -0.05 | 16% | 29 Jan → |
Match data via Leetify.