bbnomoney — CS2 Stats
76561198243589972[U:1:283324244]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -60pp win rate · -0.01 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
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 s1mple 93% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
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
Strengths
CT openings. 67% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
T-side openings. Opening success drops from 67% on CT to 46% on T — the same duels are being taken with worse setups on the attacking side.
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 7.6/10 (Strong), 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 | 33 | 18–15 | 55% | 0.03 | |
| A | 19 | 11–8 | 58% | 0.06 | |
| S | 12 | 9–3 | 75% | 0.05 | |
| S | 9 | 6–3 | 67% | 0.04 | |
| D | 8 | 1–7 | 13% | 0.00 | |
| S | 7 | 5–2 | 71% | 0.06 | |
| B | 6 | 3–3 | 50% | 0.06 | |
| — | 4 | 3–1 | 75% | 0.08 | |
| — | 2 | 2–0 | 100% | 0.12 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 234 | 56% | 1.36 | 19.2 |
| Dust2 | 134 | 51% | 1.42 | 19.6 |
| Ancient | 97 | 53% | 1.28 | 18.4 |
| Nuke | 91 | 49% | 1.29 | 19.1 |
| Inferno | 27 | 33% | 1.32 | 18.7 |
| Anubis | 24 | 50% | 0.99 | 15.6 |
| Cache | 13 | 62% | 1.35 | 17.8 |
| Overpass | 6 | 33% | 1.39 | 22.5 |
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.
13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 9–13 | -0.06 | 21% | 26 Aug → | ||
| 13–7 | -0.01 | 27% | 25 Aug → | ||
| 10–13 | 0.01 | 30% | 20 Aug → | ||
| 8–13 | 0.02 | 18% | 19 Aug → | ||
| 9–13 | 0.06 | 23% | 19 Aug → | ||
| 9–13 | 0.06 | 10% | 17 Aug → | ||
| 10–13 | 0.05 | 20% | 16 Aug → | ||
| 13–2 | 0.23 | 20% | 16 Aug → | ||
| 11–13 | 0.05 | 31% | 13 Aug → | ||
| 13–5 | 0.13 | 30% | 12 Aug → | ||
| 13–5 | 0.04 | 21% | 10 Aug → | ||
| 13–6 | 0.08 | 22% | 9 Aug → | ||
| 13–6 | 0.06 | 27% | 8 Aug → | ||
| 13–6 | 0.09 | 22% | 8 Aug → | ||
| 13–10 | 0.01 | 14% | 5 Aug → | ||
| 13–1 | 0.03 | 18% | 5 Aug → | ||
| 13–9 | 0.03 | 15% | 4 Aug → | ||
| 13–9 | 0.12 | 19% | 30 Jul → | ||
| 9–13 | 0.06 | 15% | 29 Jul → | ||
| 13–10 | 0.12 | 20% | 25 Jul → | ||
| 6–13 | 0.08 | 20% | 25 Jul → | ||
| 7–13 | -0.01 | 13% | 24 Jul → | ||
| 13–3 | 0.21 | 14% | 24 Jul → | ||
| 13–6 | -0.01 | 21% | 19 Jul → | ||
| 13–7 | -0.02 | 17% | 14 Jul → | ||
| 10–13 | 0.08 | 9% | 5 Jul → | ||
| 13–8 | 0.04 | 16% | 4 Jul → | ||
| 0–13 | -0.10 | 18% | 4 Jul → | ||
| 13–2 | -0.02 | 13% | 4 Jul → | ||
| 13–6 | 0.09 | 12% | 4 Jul → | ||
| 13–5 | 0.21 | 14% | 4 Jul → | ||
| 13–3 | 0.03 | 14% | 4 Jul → | ||
| 7–13 | 0.03 | 21% | 3 Jul → | ||
| 2–13 | -0.07 | 20% | 3 Jul → | ||
| 13–7 | 0.07 | 32% | 3 Jul → | ||
| 13–16 | -0.01 | 21% | 2 Jul → | ||
| 6–13 | -0.01 | 16% | 2 Jul → | ||
| 10–13 | 0.06 | 41% | 1 Jul → | ||
| 13–8 | 0.07 | 28% | 1 Jul → | ||
| 13–5 | 0.10 | 16% | 1 Jul → | ||
| 13–9 | 0.11 | 26% | 1 Jul → | ||
| 7–13 | -0.04 | 23% | 1 Jul → | ||
| 13–16 | 0.05 | 15% | 27 Jun → | ||
| 13–6 | 0.08 | 22% | 27 Jun → | ||
| 13–3 | 0.09 | 20% | 27 Jun → | ||
| 6–13 | -0.04 | 18% | 27 Jun → | ||
| 16–14 | -0.02 | 10% | 24 Jun → | ||
| 13–6 | 0.12 | 20% | 18 Jun → | ||
| 5–13 | -0.07 | 12% | 18 Jun → | ||
| 7–13 | -0.01 | 15% | 18 Jun → | ||
| 13–6 | 0.17 | 26% | 15 Jun → | ||
| 0–13 | -0.02 | 17% | 15 Jun → | ||
| 7–13 | 0.04 | 17% | 15 Jun → | ||
| 13–5 | 0.16 | 15% | 15 Jun → | ||
| 5–13 | -0.00 | 19% | 15 Jun → | ||
| 13–7 | 0.02 | 17% | 12 Jun → | ||
| 13–9 | 0.00 | 23% | 11 Jun → | ||
| 13–8 | 0.09 | 16% | 7 Jun → | ||
| 10–13 | 0.02 | 24% | 7 Jun → | ||
| 5–13 | -0.01 | 23% | 6 Jun → | ||
| 0–10 | -0.07 | 0% | 6 Jun → | ||
| 13–1 | 0.13 | 25% | 6 Jun → | ||
| 5–9 | -0.04 | 21% | 28 May → | ||
| 13–11 | 0.02 | 17% | 27 May → | ||
| 13–9 | 0.11 | 17% | 27 May → | ||
| 13–7 | 0.03 | 19% | 24 May → | ||
| 12–12 | 0.03 | 25% | 20 May → | ||
| 13–3 | 0.09 | 15% | 14 May → | ||
| 5–13 | 0.09 | 10% | 13 May → | ||
| 13–6 | 0.13 | 16% | 13 May → | ||
| 13–10 | 0.12 | 23% | 13 May → | ||
| 13–2 | 0.07 | 29% | 8 May → | ||
| 3–13 | -0.06 | 22% | 7 May → | ||
| 2–13 | -0.02 | 10% | 7 May → | ||
| 10–13 | 0.04 | 26% | 6 May → | ||
| 13–7 | -0.04 | 14% | 6 May → | ||
| 11–13 | 0.05 | 20% | 5 May → | ||
| 13–7 | 0.07 | 17% | 5 May → | ||
| 13–10 | 0.04 | 21% | 5 May → | ||
| 9–13 | -0.01 | 26% | 5 May → | ||
| 13–3 | 0.04 | 20% | 5 May → | ||
| 2–13 | 0.00 | 41% | 5 May → | ||
| 13–5 | 0.13 | 27% | 2 May → | ||
| 13–5 | 0.13 | 17% | 29 Apr → | ||
| 13–7 | 0.07 | 23% | 29 Apr → | ||
| 16–13 | 0.04 | 20% | 26 Apr → | ||
| 13–11 | 0.02 | 19% | 26 Apr → | ||
| 13–7 | 0.05 | 26% | 26 Apr → | ||
| 13–3 | 0.09 | 16% | 26 Apr → | ||
| 4–13 | -0.05 | 17% | 25 Apr → | ||
| 13–11 | -0.01 | 23% | 23 Apr → | ||
| 9–13 | 0.03 | 14% | 23 Apr → | ||
| 9–4 | 0.08 | 26% | 23 Apr → | ||
| 12–12 | 0.05 | 29% | 22 Apr → | ||
| 13–9 | 0.08 | 28% | 22 Apr → | ||
| 5–11 | 0.03 | 20% | 21 Apr → | ||
| 0–13 | -0.02 | 19% | 21 Apr → | ||
| 13–2 | 0.24 | 33% | 17 Apr → | ||
| 13–11 | -0.02 | 21% | 17 Apr → | ||
| 13–2 | 0.08 | 35% | 16 Apr → |
Match data via Leetify.