WLTTS < find me on youtube — CS2 Stats
US76561198235969884[U:1:275704156]Steam profile ↗1 game ban
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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.
Strong CT-side openerEffective flashes
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 93% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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 57% on CT to 41% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 624ms 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 6.7/10 (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 |
|---|---|---|---|---|---|
| B | 22 | 10–12 | 45% | 0.02 | |
| B | 15 | 7–8 | 47% | 0.03 | |
| D | 15 | 5–10 | 33% | 0.03 | |
| A | 11 | 6–5 | 55% | 0.03 | |
| S | 11 | 8–3 | 73% | 0.05 | |
| S | 9 | 6–3 | 67% | 0.05 | |
| D | 5 | 1–4 | 20% | 0.07 | |
| S | 5 | 4–1 | 80% | 0.02 | |
| A | 5 | 3–2 | 60% | 0.08 | |
| office | — | 1 | 1–0 | 100% | 0.19 |
| — | 1 | 1–0 | 100% | 0.14 |
Across the last 100 tracked matches.
Vertigo is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 15 | 47% | 1.31 | 17.9 |
| Anubis | 9 | 33% | 1.00 | 17.3 |
| Inferno | 7 | 43% | 1.65 | 17.0 |
| Ancient | 6 | 67% | 0.94 | 15.8 |
| Vertigo | 4 | 25% | 1.14 | 17.3 |
| Nuke | 3 | 33% | 1.32 | 17.0 |
| Train | 2 | 50% | 1.48 | 17.0 |
| Overpass | 1 | 0% | 0.38 | 6.0 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 5–13 | -0.00 | 18% | 25 Aug → | ||
| 10–13 | 0.08 | 40% | 6 Aug → | ||
| 12–16 | 0.03 | 37% | 5 Aug → | ||
| 3–13 | 0.02 | 41% | 5 Aug → | ||
| 13–3 | 0.13 | 24% | 1 Aug → | ||
| 13–1 | 0.15 | 25% | 22 Jul → | ||
| 7–13 | 0.07 | 36% | 22 Jul → | ||
| 13–11 | 0.02 | 10% | 25 Jun → | ||
| 13–2 | 0.03 | 22% | 25 Jun → | ||
| 3–13 | -0.06 | 29% | 25 Jun → | ||
| 11–13 | 0.00 | 23% | 25 Jun → | ||
| 9–13 | 0.01 | 19% | 25 Jun → | ||
| 13–11 | -0.03 | 18% | 25 Jun → | ||
| 1–7 | 0.09 | 36% | 25 Jun → | ||
| 9–1 | -0.03 | 6% | 25 Jun → | ||
| 8–13 | 0.04 | 26% | 25 Jun → | ||
| 13–10 | 0.03 | 49% | 25 Jun → | ||
| 13–3 | -0.04 | 17% | 25 Jun → | ||
| 13–9 | 0.03 | 23% | 25 Jun → | ||
| 12–12 | -0.00 | 19% | 19 Jun → | ||
| 13–9 | -0.01 | 24% | 19 Jun → | ||
| 13–9 | -0.02 | 27% | 6 Jun → | ||
| 13–7 | 0.05 | 27% | 6 Jun → | ||
| 7–13 | -0.02 | 36% | 6 Jun → | ||
| 8–13 | -0.02 | 23% | 6 Jun → | ||
| 13–5 | 0.09 | 35% | 5 Jun → | ||
| 13–7 | -0.00 | 13% | 3 Jun → | ||
| 10–13 | 0.14 | 44% | 3 Jun → | ||
| 9–13 | -0.06 | 16% | 3 Jun → | ||
| 13–5 | 0.08 | 33% | 28 May → | ||
| 13–8 | 0.13 | 31% | 28 May → | ||
| 5–0 | 0.07 | 29% | 28 May → | ||
| 13–11 | 0.08 | 34% | 24 May → | ||
| 8–13 | -0.02 | 27% | 24 May → | ||
| 14–16 | 0.04 | 24% | 24 May → | ||
| office | 13–5 | 0.19 | 54% | 14 May → | |
| 13–10 | 0.14 | 35% | 8 May → | ||
| 13–9 | -0.02 | 26% | 23 Apr → | ||
| 11–13 | 0.04 | 27% | 19 Apr → | ||
| 11–13 | 0.01 | 29% | 19 Apr → | ||
| 13–7 | 0.07 | 33% | 6 Apr → | ||
| 12–12 | 0.01 | 31% | 5 Apr → | ||
| 13–6 | 0.14 | 24% | 20 Mar → | ||
| 13–8 | -0.00 | 15% | 7 Mar → | ||
| 13–11 | 0.01 | 27% | 7 Mar → | ||
| 5–13 | 0.01 | 24% | 3 Mar → | ||
| 13–5 | 0.06 | 33% | 3 Mar → | ||
| 10–13 | 0.08 | 26% | 3 Mar → | ||
| 11–13 | 0.02 | 25% | 2 Mar → | ||
| 10–13 | 0.09 | 31% | 2 Mar → | ||
| 13–8 | 0.06 | 35% | 2 Mar → | ||
| 13–6 | 0.13 | 29% | 27 Feb → | ||
| 9–13 | -0.05 | 30% | 26 Feb → | ||
| 10–13 | -0.01 | 27% | 26 Feb → | ||
| 10–13 | 0.02 | 30% | 26 Feb → | ||
| 3–13 | 0.03 | 30% | 26 Feb → | ||
| 16–14 | 0.06 | 24% | 25 Feb → | ||
| 13–7 | -0.01 | 23% | 25 Feb → | ||
| 11–13 | 0.14 | 29% | 25 Feb → | ||
| 12–12 | 0.11 | 49% | 24 Feb → | ||
| 7–13 | 0.06 | 24% | 21 Feb → | ||
| 11–13 | -0.05 | 25% | 20 Feb → | ||
| 13–1 | 0.11 | 28% | 20 Feb → | ||
| 7–13 | 0.02 | 33% | 20 Feb → | ||
| 13–9 | 0.07 | 21% | 20 Feb → | ||
| 6–13 | -0.04 | 20% | 20 Feb → | ||
| 11–13 | 0.00 | 18% | 17 Feb → | ||
| 13–9 | 0.07 | 28% | 17 Feb → | ||
| 13–8 | 0.03 | 46% | 17 Feb → | ||
| 13–9 | 0.04 | 35% | 17 Feb → | ||
| 16–12 | -0.03 | 18% | 17 Feb → | ||
| 6–13 | -0.03 | 43% | 17 Feb → | ||
| 9–13 | 0.00 | 33% | 16 Feb → | ||
| 13–7 | 0.01 | 27% | 16 Feb → | ||
| 9–13 | 0.03 | 37% | 14 Feb → | ||
| 13–4 | 0.13 | 44% | 14 Feb → | ||
| 6–13 | -0.05 | 31% | 13 Feb → | ||
| 2–13 | -0.01 | 20% | 13 Feb → | ||
| 13–5 | 0.06 | 23% | 13 Feb → | ||
| 14–16 | -0.01 | 32% | 12 Feb → | ||
| 13–7 | -0.02 | 21% | 12 Feb → | ||
| 12–12 | 0.04 | 39% | 12 Feb → | ||
| 13–11 | 0.03 | 23% | 12 Feb → | ||
| 9–13 | 0.02 | 22% | 12 Feb → | ||
| 13–5 | 0.11 | 24% | 10 Feb → | ||
| 13–9 | 0.05 | 47% | 10 Feb → | ||
| 11–13 | 0.08 | 33% | 9 Feb → | ||
| 3–13 | -0.05 | 14% | 9 Feb → | ||
| 13–3 | 0.11 | 35% | 9 Feb → | ||
| 1–13 | -0.03 | 16% | 9 Feb → | ||
| 7–3 | 0.05 | 24% | 9 Feb → | ||
| 13–8 | 0.14 | 18% | 9 Feb → | ||
| 8–13 | 0.09 | 38% | 9 Feb → | ||
| 13–1 | 0.12 | 6% | 9 Feb → | ||
| 7–13 | -0.04 | 18% | 8 Feb → | ||
| 13–2 | 0.16 | 31% | 8 Feb → | ||
| 13–8 | 0.03 | 37% | 8 Feb → | ||
| 13–10 | 0.05 | 31% | 8 Feb → | ||
| 13–7 | 0.10 | 37% | 8 Feb → | ||
| 13–1 | 0.05 | 26% | 8 Feb → |
Match data via Leetify.