LegendaryToast — CS2 Stats
US76561198100479021[U:1:140213293]Steam profile ↗✓ No bans
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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: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 b1t 89% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
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 →
CSDB Rating breakdown
Composite 5.8/10 (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 | 22 | 8–14 | 36% | 0.01 | |
| B | 21 | 11–10 | 52% | 0.02 | |
| D | 18 | 5–13 | 28% | 0.02 | |
| C | 18 | 7–11 | 39% | 0.01 | |
| A | 12 | 7–5 | 58% | 0.00 | |
| — | 4 | 2–2 | 50% | 0.05 | |
| — | 4 | 1–3 | 25% | 0.10 | |
| — | 1 | 1–0 | 100% | 0.00 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (28% over 18). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWWL
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 11.5334% — below the 15% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
28% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | 0.13 | 25% | 29 Aug → | ||
| 11–13 | 0.05 | 27% | 28 Aug → | ||
| 12–12 | 0.13 | 8% | 27 Aug → | ||
| 13–9 | 0.04 | 11% | 27 Aug → | ||
| 12–12 | 0.03 | 12% | 27 Aug → | ||
| 3–13 | -0.04 | 17% | 26 Aug → | ||
| 13–9 | 0.17 | 28% | 25 Aug → | ||
| 6–13 | -0.02 | 4% | 25 Aug → | ||
| 13–10 | -0.00 | 11% | 25 Aug → | ||
| 13–10 | 0.14 | 4% | 25 Aug → | ||
| 16–13 | 0.04 | 8% | 24 Aug → | ||
| 6–13 | -0.04 | 21% | 24 Aug → | ||
| 3–12 | 0.10 | 7% | 24 Aug → | ||
| 4–13 | -0.00 | 10% | 23 Aug → | ||
| 12–12 | -0.01 | 10% | 23 Aug → | ||
| 13–8 | 0.02 | 17% | 23 Aug → | ||
| 4–13 | -0.01 | 10% | 23 Aug → | ||
| 13–7 | 0.08 | 5% | 22 Aug → | ||
| 13–3 | 0.11 | 10% | 22 Aug → | ||
| 7–13 | -0.03 | 16% | 22 Aug → | ||
| 13–3 | 0.06 | 9% | 22 Aug → | ||
| 12–12 | 0.06 | 7% | 22 Aug → | ||
| 13–5 | 0.03 | 9% | 22 Aug → | ||
| 7–7 | 0.01 | 17% | 21 Aug → | ||
| 3–13 | 0.09 | 10% | 21 Aug → | ||
| 7–13 | 0.08 | 11% | 21 Aug → | ||
| 12–12 | 0.04 | 5% | 21 Aug → | ||
| 13–9 | 0.02 | 2% | 21 Aug → | ||
| 13–8 | 0.01 | 4% | 21 Aug → | ||
| 12–12 | 0.01 | 13% | 20 Aug → | ||
| 5–13 | 0.02 | 13% | 20 Aug → | ||
| 13–11 | -0.02 | 28% | 19 Aug → | ||
| 10–13 | 0.02 | 9% | 19 Aug → | ||
| 13–10 | 0.07 | 14% | 18 Aug → | ||
| 13–3 | 0.04 | 4% | 15 Aug → | ||
| 13–7 | 0.04 | 4% | 15 Aug → | ||
| 13–5 | 0.03 | 8% | 14 Aug → | ||
| 7–13 | 0.01 | 9% | 13 Aug → | ||
| 11–13 | 0.05 | 16% | 2 Aug → | ||
| 13–8 | 0.14 | 11% | 2 Aug → | ||
| 13–11 | 0.00 | 20% | 1 Aug → | ||
| 6–13 | 0.05 | 12% | 31 Jul → | ||
| 1–5 | -0.06 | 11% | 29 Jun → | ||
| 12–16 | 0.14 | 13% | 4 Apr → | ||
| 9–13 | -0.06 | 9% | 13 Mar → | ||
| 6–13 | -0.00 | 6% | 4 Mar → | ||
| 13–11 | -0.01 | 17% | 3 Mar → | ||
| 6–13 | 0.05 | 8% | 1 Mar → | ||
| 13–6 | 0.01 | 9% | 27 Feb → | ||
| 2–13 | -0.02 | 14% | 23 Feb → | ||
| 13–11 | 0.04 | 14% | 21 Feb → | ||
| 7–13 | -0.06 | 0% | 20 Feb → | ||
| 8–13 | 0.11 | 21% | 19 Feb → | ||
| 13–6 | 0.00 | 0% | 19 Feb → | ||
| 10–3 | 0.05 | 14% | 18 Feb → | ||
| 10–13 | 0.01 | 13% | 18 Feb → | ||
| 13–3 | -0.00 | 0% | 18 Feb → | ||
| 4–13 | -0.06 | 14% | 14 Feb → | ||
| 13–5 | 0.06 | 26% | 14 Feb → | ||
| 13–8 | 0.02 | 17% | 13 Feb → | ||
| 4–13 | 0.00 | 17% | 12 Feb → | ||
| 13–7 | 0.03 | 17% | 12 Feb → | ||
| 4–13 | 0.01 | 13% | 9 Feb → | ||
| 5–13 | -0.01 | 3% | 8 Feb → | ||
| 13–10 | -0.04 | 17% | 8 Feb → | ||
| 4–13 | -0.01 | 12% | 7 Feb → | ||
| 3–13 | 0.01 | 5% | 7 Feb → | ||
| 13–11 | 0.04 | 10% | 7 Feb → | ||
| 16–13 | 0.00 | 4% | 6 Feb → | ||
| 9–13 | -0.06 | 14% | 4 Feb → | ||
| 6–13 | -0.01 | 22% | 4 Feb → | ||
| 7–13 | -0.03 | 17% | 1 Feb → | ||
| 9–13 | 0.01 | 11% | 31 Jan → | ||
| 9–13 | 0.04 | 11% | 30 Jan → | ||
| 11–13 | 0.04 | 24% | 26 Jan → | ||
| 3–13 | -0.01 | 16% | 23 Jan → | ||
| 14–16 | -0.02 | 5% | 23 Jan → | ||
| 8–1 | -0.02 | 19% | 23 Jan → | ||
| 15–15 | 0.01 | 9% | 22 Jan → | ||
| 13–6 | -0.01 | 4% | 22 Jan → | ||
| 1–13 | -0.13 | 17% | 22 Jan → | ||
| 13–8 | 0.07 | 6% | 21 Jan → | ||
| 4–13 | -0.09 | 8% | 15 Jan → | ||
| 8–13 | -0.00 | 3% | 9 Jan → | ||
| 6–13 | -0.05 | 19% | 8 Jan → | ||
| 7–13 | -0.05 | 20% | 8 Jan → | ||
| 4–4 | 0.18 | 13% | 7 Jan → | ||
| 13–7 | 0.05 | 9% | 7 Jan → | ||
| 13–10 | -0.02 | 8% | 7 Jan → | ||
| 6–13 | -0.01 | 10% | 7 Jan → | ||
| 13–16 | -0.08 | 13% | 6 Jan → | ||
| 13–4 | 0.00 | 14% | 6 Jan → | ||
| 13–5 | 0.04 | 22% | 6 Jan → | ||
| 3–13 | -0.05 | 11% | 6 Jan → | ||
| 4–13 | -0.01 | 8% | 6 Jan → | ||
| 7–13 | -0.07 | 12% | 5 Jan → | ||
| 6–13 | -0.04 | 5% | 4 Jan → | ||
| 13–7 | 0.05 | 16% | 4 Jan → | ||
| 13–4 | -0.01 | 10% | 4 Jan → | ||
| 11–13 | -0.00 | 12% | 3 Jan → |
Match data via Leetify.