T A K Y O N — CS2 Stats
76561198054153672[U:1:93887944]Steam profile ↗
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.02 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Sharp aimerExcellent counter-strafingStrong 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 95% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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 88 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.
T-side openings. Opening success drops from 54% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 611ms 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 6.5/10 (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 |
|---|---|---|---|---|---|
| B | 30 | 14–16 | 47% | 0.00 | |
| A | 23 | 14–9 | 61% | -0.01 | |
| C | 16 | 7–9 | 44% | -0.00 | |
| D | 14 | 4–10 | 29% | -0.02 | |
| S | 10 | 7–3 | 70% | -0.02 | |
| A | 5 | 3–2 | 60% | 0.02 | |
| — | 1 | 0–1 | 0% | 0.03 | |
| alpine | — | 1 | 0–1 | 0% | -0.01 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Anubis 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 resultsLLLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 338 | 49% | 1.02 | 15.7 |
| Dust2 | 259 | 50% | 1.05 | 15.6 |
| Ancient | 208 | 50% | 1.08 | 16.3 |
| Inferno | 184 | 52% | 1.00 | 15.1 |
| Anubis | 134 | 44% | 1.01 | 15.5 |
| Nuke | 79 | 52% | 1.02 | 14.8 |
| Overpass | 48 | 54% | 1.01 | 14.7 |
| Vertigo | 34 | 47% | 1.20 | 17.6 |
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 27.2003% — 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.
29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–6 | 0.04 | 26% | 28 Aug → | ||
| 11–13 | -0.02 | 28% | 26 Aug → | ||
| 4–13 | -0.09 | 20% | 20 Aug → | ||
| 4–13 | -0.01 | 48% | 14 Aug → | ||
| 9–13 | -0.04 | 18% | 13 Aug → | ||
| 9–13 | -0.02 | 20% | 10 Aug → | ||
| 13–6 | 0.26 | 37% | 2 Aug → | ||
| 11–13 | 0.02 | 22% | 31 Jul → | ||
| 13–10 | -0.05 | 22% | 30 Jul → | ||
| 13–7 | -0.01 | 29% | 23 Jul → | ||
| 11–13 | -0.04 | 22% | 22 Jul → | ||
| 13–6 | -0.00 | 29% | 21 Jul → | ||
| 8–13 | -0.01 | 14% | 21 Jul → | ||
| 6–13 | -0.04 | 29% | 18 Jul → | ||
| 3–13 | -0.10 | 23% | 17 Jul → | ||
| 13–16 | 0.03 | 28% | 17 Jul → | ||
| 13–10 | 0.05 | 27% | 15 Jul → | ||
| 11–13 | -0.04 | 34% | 15 Jul → | ||
| 13–10 | 0.02 | 26% | 12 Jul → | ||
| 16–13 | -0.01 | 36% | 9 Jul → | ||
| 4–13 | -0.07 | 42% | 9 Jul → | ||
| 13–7 | -0.00 | 27% | 9 Jul → | ||
| 7–13 | -0.04 | 32% | 7 Jul → | ||
| 9–13 | 0.02 | 22% | 7 Jul → | ||
| 10–13 | 0.01 | 39% | 5 Jul → | ||
| 13–8 | 0.03 | 28% | 5 Jul → | ||
| 16–14 | -0.01 | 22% | 4 Jul → | ||
| 6–13 | -0.03 | 29% | 4 Jul → | ||
| 11–13 | -0.03 | 31% | 20 Jun → | ||
| 6–13 | 0.01 | 27% | 19 Jun → | ||
| 10–2 | 0.10 | 52% | 19 Jun → | ||
| 13–10 | -0.02 | 25% | 15 Jun → | ||
| 13–6 | 0.01 | 35% | 14 Jun → | ||
| 12–12 | 0.11 | 22% | 10 Jun → | ||
| 13–11 | -0.03 | 17% | 9 Jun → | ||
| 13–10 | -0.07 | 38% | 9 Jun → | ||
| 7–13 | -0.04 | 38% | 9 Jun → | ||
| 5–13 | -0.10 | 24% | 5 Jun → | ||
| 19–17 | 0.01 | 26% | 4 Jun → | ||
| 13–9 | -0.04 | 29% | 4 Jun → | ||
| 2–13 | -0.07 | 35% | 2 Jun → | ||
| 13–8 | 0.01 | 36% | 1 Jun → | ||
| 16–14 | -0.06 | 11% | 1 Jun → | ||
| 13–9 | 0.03 | 31% | 1 Jun → | ||
| 13–11 | -0.02 | 20% | 28 May → | ||
| 13–2 | -0.09 | 13% | 28 May → | ||
| 11–13 | -0.03 | 19% | 25 May → | ||
| 13–7 | -0.02 | 28% | 24 May → | ||
| 13–7 | -0.02 | 26% | 22 May → | ||
| 13–6 | -0.02 | 37% | 20 May → | ||
| 13–7 | 0.02 | 28% | 15 May → | ||
| 12–16 | -0.02 | 31% | 13 May → | ||
| 4–13 | -0.09 | 44% | 13 May → | ||
| 4–13 | -0.04 | 31% | 6 May → | ||
| 11–13 | -0.03 | 46% | 29 Apr → | ||
| 16–14 | 0.05 | 24% | 24 Apr → | ||
| 10–13 | -0.03 | 38% | 22 Apr → | ||
| 8–13 | -0.07 | 29% | 11 Apr → | ||
| 11–13 | -0.06 | 20% | 11 Apr → | ||
| 13–11 | 0.04 | 31% | 11 Apr → | ||
| 17–19 | 0.01 | 30% | 10 Apr → | ||
| 13–1 | 0.03 | 30% | 10 Apr → | ||
| 13–8 | -0.05 | 21% | 10 Apr → | ||
| 13–6 | 0.01 | 22% | 9 Apr → | ||
| 6–13 | -0.07 | 16% | 9 Apr → | ||
| 11–13 | -0.04 | 41% | 7 Apr → | ||
| 9–13 | -0.05 | 13% | 4 Apr → | ||
| 9–13 | -0.00 | 27% | 4 Apr → | ||
| 13–4 | 0.01 | 20% | 4 Apr → | ||
| 11–13 | 0.13 | 24% | 30 Mar → | ||
| 3–13 | 0.03 | 38% | 30 Mar → | ||
| 9–13 | 0.10 | 39% | 30 Mar → | ||
| alpine | 6–7 | -0.01 | 27% | 29 Mar → | |
| 19–17 | 0.03 | 25% | 17 Mar → | ||
| 13–3 | 0.02 | 27% | 17 Mar → | ||
| 13–7 | 0.05 | 28% | 16 Mar → | ||
| 11–13 | -0.07 | 11% | 16 Mar → | ||
| 13–16 | 0.01 | 25% | 14 Mar → | ||
| 10–13 | 0.02 | 27% | 14 Mar → | ||
| 13–7 | 0.11 | 36% | 14 Mar → | ||
| 13–9 | 0.19 | 31% | 12 Mar → | ||
| 8–13 | 0.05 | 33% | 12 Mar → | ||
| 13–9 | -0.04 | 29% | 9 Mar → | ||
| 9–13 | -0.06 | 43% | 9 Mar → | ||
| 7–13 | -0.03 | 29% | 9 Mar → | ||
| 22–19 | -0.04 | 18% | 9 Mar → | ||
| 13–11 | -0.03 | 41% | 8 Mar → | ||
| 17–19 | -0.05 | 30% | 5 Mar → | ||
| 13–10 | 0.01 | 38% | 5 Mar → | ||
| 13–8 | 0.01 | 18% | 5 Mar → | ||
| 13–10 | -0.03 | 23% | 4 Mar → | ||
| 6–13 | 0.00 | 29% | 4 Mar → | ||
| 13–9 | 0.02 | 28% | 1 Mar → | ||
| 13–9 | 0.03 | 35% | 1 Mar → | ||
| 9–13 | -0.01 | 24% | 1 Mar → | ||
| 9–13 | 0.03 | 32% | 28 Feb → | ||
| 13–7 | 0.01 | 27% | 28 Feb → | ||
| 5–13 | -0.00 | 24% | 28 Feb → | ||
| 13–11 | -0.02 | 18% | 28 Feb → | ||
| 13–9 | -0.06 | 13% | 27 Feb → |
Match data via Leetify.