tHiRaKaN — CS2 Stats
RO76561198999116736[U:1:1038851008]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong 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 92% 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 →
Strengths & areas to improve
Areas to improve
T-side openings. Opening success drops from 50% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 629ms 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 6.3/10 (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 | 31 | 15–16 | 48% | -0.01 | |
| B | 27 | 14–13 | 52% | 0.01 | |
| B | 18 | 9–9 | 50% | 0.02 | |
| A | 8 | 5–3 | 63% | -0.02 | |
| D | 5 | 0–5 | 0% | -0.01 | |
| — | 3 | 1–2 | 33% | 0.06 | |
| — | 2 | 2–0 | 100% | 0.00 | |
| — | 2 | 1–1 | 50% | 0.00 | |
| office | — | 2 | 1–1 | 50% | -0.04 |
| — | 2 | 0–2 | 0% | -0.01 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 1356 | 53% | 1.14 | 16.6 |
| Ancient | 814 | 53% | 1.09 | 16.2 |
| Dust2 | 751 | 54% | 1.07 | 15.8 |
| Anubis | 294 | 52% | 1.07 | 15.9 |
| Nuke | 227 | 40% | 0.92 | 14.3 |
| Vertigo | 205 | 58% | 1.31 | 19.6 |
| Overpass | 99 | 42% | 1.12 | 17.3 |
| Inferno | 76 | 39% | 1.01 | 16.6 |
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 29.2819% — 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.
0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 19–22 | 0.00 | 22% | 22 Aug → | ||
| 6–13 | -0.02 | 18% | 21 Aug → | ||
| 13–11 | -0.02 | 11% | 20 Aug → | ||
| 13–9 | -0.01 | 19% | 6 Aug → | ||
| 2–13 | -0.08 | 18% | 31 Jul → | ||
| 13–3 | 0.00 | 27% | 29 Jul → | ||
| 13–11 | 0.01 | 29% | 29 Jul → | ||
| 13–7 | 0.03 | 25% | 29 Jul → | ||
| 11–13 | -0.03 | 22% | 25 Jul → | ||
| 7–13 | 0.02 | 23% | 25 Jul → | ||
| 13–7 | 0.03 | 20% | 19 Jul → | ||
| 5–13 | -0.03 | 25% | 18 Jul → | ||
| 2–0 | 0.00 | 0% | 18 Jul → | ||
| 8–5 | 0.05 | 58% | 17 Jul → | ||
| 13–5 | -0.05 | 33% | 17 Jul → | ||
| 13–7 | -0.06 | 20% | 16 Jul → | ||
| 12–16 | -0.04 | 15% | 16 Jul → | ||
| 13–10 | 0.03 | 19% | 16 Jul → | ||
| 13–2 | 0.09 | 23% | 14 Jul → | ||
| 15–15 | -0.04 | 30% | 13 Jul → | ||
| 11–13 | -0.14 | 0% | 13 Jul → | ||
| 13–8 | 0.08 | 38% | 13 Jul → | ||
| 13–11 | 0.03 | 21% | 12 Jul → | ||
| 13–6 | 0.01 | 32% | 12 Jul → | ||
| 13–10 | 0.10 | 14% | 12 Jul → | ||
| 11–13 | 0.10 | 15% | 12 Jul → | ||
| office | 0–13 | -0.05 | 14% | 12 Jul → | |
| 1–7 | -0.10 | 0% | 10 Jul → | ||
| 13–7 | -0.00 | 20% | 10 Jul → | ||
| 13–4 | 0.05 | 17% | 9 Jul → | ||
| 12–12 | 0.13 | 17% | 8 Jul → | ||
| 12–12 | -0.02 | 6% | 8 Jul → | ||
| 13–7 | 0.02 | 35% | 6 Jul → | ||
| 8–13 | 0.03 | 23% | 5 Jul → | ||
| 6–13 | -0.07 | 10% | 20 Jun → | ||
| 11–13 | -0.02 | 25% | 17 Jun → | ||
| 5–13 | -0.07 | 30% | 15 Jun → | ||
| 4–13 | -0.08 | 24% | 10 Jun → | ||
| 3–13 | -0.05 | 5% | 6 Jun → | ||
| 4–13 | -0.01 | 29% | 5 Jun → | ||
| 13–9 | -0.01 | 25% | 25 May → | ||
| 13–10 | -0.03 | 35% | 23 May → | ||
| 13–1 | 0.24 | 20% | 22 May → | ||
| 13–9 | 0.02 | 27% | 19 May → | ||
| 13–10 | 0.01 | 33% | 18 May → | ||
| office | 13–11 | -0.03 | 38% | 16 May → | |
| 13–8 | 0.06 | 33% | 16 May → | ||
| 8–13 | 0.02 | 29% | 16 May → | ||
| 8–13 | 0.01 | 22% | 16 May → | ||
| 13–8 | 0.10 | 33% | 14 May → | ||
| 8–13 | -0.00 | 26% | 13 May → | ||
| 13–4 | 0.01 | 48% | 13 May → | ||
| 7–13 | -0.07 | 24% | 13 May → | ||
| 9–13 | -0.02 | 12% | 12 May → | ||
| 11–13 | 0.01 | 19% | 9 May → | ||
| 13–4 | 0.02 | 39% | 5 May → | ||
| 9–13 | -0.01 | 18% | 5 May → | ||
| 14–16 | 0.03 | 14% | 3 May → | ||
| 5–13 | -0.03 | 22% | 30 Apr → | ||
| 13–7 | -0.01 | 11% | 29 Apr → | ||
| 9–13 | -0.03 | 16% | 29 Apr → | ||
| 13–11 | 0.04 | 27% | 28 Apr → | ||
| 13–5 | 0.05 | 16% | 26 Apr → | ||
| 13–9 | 0.03 | 24% | 26 Apr → | ||
| 8–1 | 0.13 | 8% | 26 Apr → | ||
| 14–16 | -0.01 | 16% | 24 Apr → | ||
| 2–13 | -0.05 | 30% | 22 Apr → | ||
| 11–13 | -0.03 | 39% | 18 Apr → | ||
| 13–11 | 0.02 | 25% | 16 Apr → | ||
| 13–6 | -0.01 | 18% | 16 Apr → | ||
| 3–13 | -0.09 | 21% | 15 Apr → | ||
| 13–9 | 0.05 | 28% | 9 Apr → | ||
| 13–6 | 0.06 | 22% | 9 Apr → | ||
| 13–10 | 0.06 | 22% | 9 Apr → | ||
| 7–13 | -0.03 | 26% | 8 Apr → | ||
| 11–13 | -0.04 | 11% | 8 Apr → | ||
| 13–9 | -0.01 | 18% | 7 Apr → | ||
| 9–13 | 0.00 | 36% | 6 Apr → | ||
| 9–13 | -0.05 | 11% | 6 Apr → | ||
| 7–13 | -0.01 | 17% | 3 Apr → | ||
| 13–9 | 0.06 | 20% | 1 Apr → | ||
| 4–13 | 0.01 | 27% | 29 Mar → | ||
| 9–13 | -0.00 | 26% | 21 Mar → | ||
| 10–13 | 0.02 | 28% | 21 Mar → | ||
| 13–6 | 0.23 | 34% | 21 Mar → | ||
| 13–6 | -0.03 | 20% | 15 Mar → | ||
| 13–7 | 0.09 | 25% | 15 Mar → | ||
| 13–16 | -0.01 | 30% | 14 Mar → | ||
| 13–8 | -0.02 | 15% | 14 Mar → | ||
| 13–11 | 0.03 | 28% | 12 Mar → | ||
| 4–13 | -0.05 | 6% | 12 Mar → | ||
| 7–13 | -0.06 | 23% | 12 Mar → | ||
| 11–13 | -0.03 | 26% | 8 Mar → | ||
| 11–13 | 0.01 | 24% | 5 Mar → | ||
| 13–7 | 0.02 | 30% | 4 Mar → | ||
| 10–13 | -0.06 | 15% | 1 Mar → | ||
| 5–13 | -0.09 | 10% | 13 Feb → | ||
| 10–13 | 0.03 | 19% | 13 Feb → | ||
| 16–14 | -0.03 | 17% | 10 Feb → | ||
| 5–13 | -0.11 | 0% | 9 Feb → |
Match data via Leetify.