Billias — CS2 Stats
US76561198084552896[U:1:124287168]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 · -0.00 avg rating
Player DNA
Primary style: Support — Utility contribution leads the profile while opening activity stays low.
Effective 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 NiKo 83% playstyle similarity
Most alike: utility contribution, opening-duel success.
Where you differ: lower opening-fight frequency; lower positioning 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
Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.
Reaction time. 592ms 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 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 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 | 40 | 24–16 | 60% | -0.02 | |
| A | 16 | 9–7 | 56% | -0.01 | |
| B | 13 | 7–6 | 54% | 0.00 | |
| S | 12 | 8–4 | 67% | -0.02 | |
| C | 10 | 4–6 | 40% | -0.01 | |
| — | 4 | 2–2 | 50% | 0.01 | |
| — | 3 | 2–1 | 67% | -0.01 | |
| office | — | 1 | 1–0 | 100% | 0.03 |
| — | 1 | 1–0 | 100% | 0.11 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (40% over 10). 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 resultsLLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 251 | 61% | 1.01 | 14.3 |
| Ancient | 249 | 53% | 0.93 | 13.8 |
| Inferno | 127 | 54% | 0.98 | 14.1 |
| Mirage | 102 | 51% | 1.00 | 13.8 |
| Nuke | 47 | 55% | 0.96 | 13.7 |
| Anubis | 42 | 45% | 0.95 | 14.3 |
| Overpass | 22 | 41% | 0.99 | 15.3 |
| Cache | 7 | 57% | 0.72 | 11.1 |
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 30.1945% — 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.
40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 6–13 | -0.02 | 14% | 25 Aug → | ||
| 13–10 | 0.07 | 28% | 25 Aug → | ||
| 11–13 | -0.08 | 10% | 21 Aug → | ||
| 13–9 | -0.02 | 13% | 21 Aug → | ||
| 7–13 | -0.03 | 24% | 19 Aug → | ||
| 10–13 | -0.04 | 12% | 19 Aug → | ||
| 13–11 | -0.03 | 12% | 2 Aug → | ||
| 10–13 | -0.05 | 11% | 2 Aug → | ||
| 8–13 | -0.02 | 26% | 2 Aug → | ||
| 13–2 | 0.06 | 17% | 29 Jul → | ||
| 8–13 | -0.05 | 11% | 29 Jul → | ||
| 11–13 | -0.02 | 13% | 18 Jul → | ||
| 2–13 | -0.07 | 22% | 18 Jul → | ||
| 13–5 | 0.02 | 19% | 18 Jul → | ||
| 13–10 | 0.05 | 18% | 15 Jul → | ||
| 13–3 | -0.01 | 29% | 15 Jul → | ||
| 13–5 | 0.08 | 19% | 13 Jul → | ||
| 6–13 | -0.05 | 33% | 13 Jul → | ||
| 13–7 | -0.03 | 15% | 10 Jul → | ||
| 0–3 | -0.04 | 0% | 10 Jul → | ||
| 9–13 | -0.02 | 22% | 10 Jul → | ||
| 8–13 | -0.00 | 21% | 10 Jul → | ||
| 13–5 | -0.01 | 24% | 10 Jul → | ||
| 13–7 | -0.01 | 18% | 10 Jul → | ||
| 8–13 | -0.05 | 20% | 10 Jul → | ||
| 13–10 | -0.03 | 17% | 9 Jul → | ||
| 13–10 | 0.01 | 21% | 9 Jul → | ||
| 13–1 | -0.03 | 17% | 9 Jul → | ||
| 13–7 | 0.02 | 18% | 9 Jul → | ||
| 13–5 | -0.02 | 21% | 9 Jul → | ||
| 13–6 | 0.05 | 21% | 9 Jul → | ||
| 13–1 | 0.05 | 26% | 8 Jul → | ||
| 13–1 | -0.03 | 5% | 8 Jul → | ||
| office | 13–6 | 0.03 | 26% | 8 Jul → | |
| 13–9 | 0.07 | 19% | 8 Jul → | ||
| 8–13 | -0.01 | 20% | 8 Jul → | ||
| 13–7 | -0.00 | 18% | 8 Jul → | ||
| 13–7 | 0.03 | 26% | 8 Jul → | ||
| 12–16 | -0.01 | 12% | 1 Jul → | ||
| 13–11 | -0.13 | 7% | 1 Jul → | ||
| 7–13 | -0.07 | 16% | 25 Jun → | ||
| 13–3 | 0.01 | 14% | 25 Jun → | ||
| 15–15 | -0.00 | 21% | 22 Jun → | ||
| 13–2 | 0.03 | 17% | 15 Jun → | ||
| 13–9 | 0.05 | 25% | 12 Jun → | ||
| 13–5 | 0.04 | 12% | 12 Jun → | ||
| 0–2 | -0.00 | 0% | 12 Jun → | ||
| 13–9 | -0.01 | 18% | 10 Jun → | ||
| 13–8 | 0.00 | 26% | 9 Jun → | ||
| 13–8 | -0.04 | 16% | 9 Jun → | ||
| 13–1 | -0.07 | 13% | 9 Jun → | ||
| 0–13 | -0.05 | 38% | 9 Jun → | ||
| 6–1 | -0.03 | 19% | 9 Jun → | ||
| 13–7 | 0.04 | 15% | 31 May → | ||
| 9–5 | -0.04 | 16% | 31 May → | ||
| 13–5 | -0.01 | 14% | 28 May → | ||
| 13–16 | -0.01 | 30% | 26 May → | ||
| 7–9 | -0.10 | 9% | 22 May → | ||
| 13–1 | 0.02 | 4% | 19 May → | ||
| 13–5 | 0.03 | 25% | 18 May → | ||
| 13–9 | 0.01 | 20% | 14 May → | ||
| 13–10 | 0.03 | 20% | 13 May → | ||
| 4–13 | -0.02 | 13% | 13 May → | ||
| 9–13 | -0.06 | 16% | 12 May → | ||
| 13–10 | -0.05 | 24% | 10 May → | ||
| 13–16 | -0.02 | 24% | 10 May → | ||
| 19–17 | 0.01 | 23% | 9 May → | ||
| 8–13 | -0.02 | 21% | 8 May → | ||
| 3–1 | -0.06 | 0% | 6 May → | ||
| 16–13 | 0.01 | 14% | 5 May → | ||
| 13–5 | -0.04 | 14% | 5 May → | ||
| 19–17 | 0.02 | 19% | 5 May → | ||
| 16–13 | -0.01 | 21% | 1 May → | ||
| 13–4 | 0.10 | 25% | 1 May → | ||
| 13–7 | 0.00 | 35% | 1 May → | ||
| 13–5 | -0.08 | 5% | 30 Apr → | ||
| 13–8 | -0.03 | 17% | 30 Apr → | ||
| 12–12 | -0.00 | 21% | 29 Apr → | ||
| 10–13 | 0.00 | 19% | 29 Apr → | ||
| 6–13 | 0.03 | 28% | 28 Apr → | ||
| 13–5 | 0.09 | 44% | 28 Apr → | ||
| 6–13 | -0.07 | 11% | 28 Apr → | ||
| 13–8 | 0.00 | 21% | 28 Apr → | ||
| 13–16 | 0.03 | 22% | 28 Apr → | ||
| 13–3 | 0.02 | 43% | 26 Apr → | ||
| 1–13 | -0.09 | 11% | 21 Apr → | ||
| 13–3 | -0.01 | 19% | 20 Apr → | ||
| 11–13 | -0.00 | 13% | 17 Apr → | ||
| 17–19 | -0.03 | 15% | 17 Apr → | ||
| 9–13 | -0.11 | 10% | 17 Apr → | ||
| 11–13 | 0.01 | 21% | 17 Apr → | ||
| 10–13 | -0.01 | 19% | 17 Apr → | ||
| 13–10 | -0.06 | 23% | 16 Apr → | ||
| 9–13 | -0.06 | 10% | 16 Apr → | ||
| 14–16 | 0.00 | 14% | 14 Apr → | ||
| 14–16 | 0.00 | 21% | 9 Apr → | ||
| 14–16 | -0.01 | 25% | 7 Apr → | ||
| 14–16 | -0.02 | 23% | 7 Apr → | ||
| 13–1 | 0.11 | 31% | 7 Apr → | ||
| 13–2 | 0.06 | 24% | 5 Apr → |
Match data via Leetify.
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