b2q — CS2 Stats
AQ76561199102358362[U:1:1142092634]Steam profile ↗2 game bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -40pp win rate · -0.10 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimerExcellent counter-strafing
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 m0NESY 93% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower utility contribution.
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 94 — the mechanical foundation is a clear strength.
CT openings. 73% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
T openings. 60% T opening-duel success — entries that actually open the round.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 598ms 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 8.5/10 (Elite), 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 |
|---|---|---|---|---|---|
| S | 23 | 16–7 | 70% | 0.09 | |
| S | 22 | 16–6 | 73% | 0.11 | |
| S | 17 | 13–4 | 76% | 0.09 | |
| A | 8 | 5–3 | 63% | 0.07 | |
| S | 5 | 5–0 | 100% | 0.09 | |
| A | 5 | 3–2 | 60% | 0.04 | |
| — | 4 | 2–2 | 50% | 0.04 | |
| boulder | — | 3 | 2–1 | 67% | 0.09 |
| — | 3 | 3–0 | 100% | 0.10 | |
| — | 3 | 1–2 | 33% | 0.05 | |
| fachwerk | — | 2 | 1–1 | 50% | 0.03 |
| — | 2 | 0–2 | 0% | 0.04 | |
| office | — | 2 | 1–1 | 50% | 0.05 |
| shelter | — | 1 | 1–0 | 100% | 0.12 |
Across the last 100 tracked matches.
Vertigo is currently your weakest sufficiently-sampled map (60% over 5). Start with the 6 essential Vertigo 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
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.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| boulder | 13–1 | 0.09 | 24% | 13 Jul → | |
| 13–10 | 0.03 | 19% | 11 Jul → | ||
| boulder | 13–11 | 0.06 | 25% | 11 Jul → | |
| 8–8 | 0.04 | 20% | 11 Jul → | ||
| 13–11 | 0.17 | 29% | 10 Jul → | ||
| 15–15 | -0.01 | 13% | 10 Jul → | ||
| 6–13 | 0.11 | 31% | 10 Jul → | ||
| fachwerk | 12–12 | 0.00 | 28% | 10 Jul → | |
| boulder | 11–13 | 0.14 | 24% | 9 Jul → | |
| fachwerk | 13–6 | 0.05 | 27% | 9 Jul → | |
| shelter | 13–7 | 0.12 | 32% | 9 Jul → | |
| 13–10 | 0.17 | 35% | 8 Jul → | ||
| 13–4 | 0.29 | 25% | 6 Jul → | ||
| 13–1 | 0.16 | 62% | 6 Jul → | ||
| 13–2 | 0.08 | 53% | 5 Jul → | ||
| 13–5 | 0.09 | 41% | 5 Jul → | ||
| 13–7 | 0.11 | 32% | 4 Jul → | ||
| 13–4 | 0.20 | 47% | 4 Jul → | ||
| 13–2 | 0.22 | 41% | 4 Jul → | ||
| 3–9 | 0.23 | 38% | 4 Jul → | ||
| 11–13 | 0.09 | 24% | 4 Jul → | ||
| 13–7 | 0.15 | 30% | 3 Jul → | ||
| 8–13 | 0.01 | 10% | 30 Jun → | ||
| 13–4 | 0.22 | 23% | 29 Jun → | ||
| 0–4 | -0.10 | 0% | 28 Jun → | ||
| 13–4 | 0.24 | 22% | 28 Jun → | ||
| 12–12 | 0.01 | 25% | 27 Jun → | ||
| 13–10 | 0.06 | 13% | 27 Jun → | ||
| 13–3 | 0.08 | 24% | 27 Jun → | ||
| 13–3 | 0.11 | 29% | 24 Jun → | ||
| 3–13 | 0.04 | 13% | 23 Jun → | ||
| 13–7 | 0.06 | 22% | 23 Jun → | ||
| 1–13 | -0.07 | 23% | 23 Jun → | ||
| 13–10 | 0.05 | 24% | 22 Jun → | ||
| 13–4 | 0.11 | 20% | 22 Jun → | ||
| 13–6 | 0.01 | 36% | 21 Jun → | ||
| 13–4 | 0.17 | 42% | 19 Jun → | ||
| 13–1 | 0.25 | 29% | 18 Jun → | ||
| 13–2 | 0.11 | 22% | 15 Jun → | ||
| 13–0 | 0.23 | 28% | 15 Jun → | ||
| 13–3 | 0.10 | 32% | 14 Jun → | ||
| 9–13 | -0.02 | 13% | 14 Jun → | ||
| 13–6 | 0.10 | 26% | 14 Jun → | ||
| 13–2 | 0.24 | 36% | 12 Jun → | ||
| 13–3 | 0.24 | 42% | 12 Jun → | ||
| 13–2 | 0.37 | 33% | 11 Jun → | ||
| 13–8 | 0.03 | 22% | 9 Jun → | ||
| 4–13 | 0.05 | 34% | 8 Jun → | ||
| 12–4 | 0.09 | 21% | 8 Jun → | ||
| 13–2 | 0.09 | 21% | 6 Jun → | ||
| 8–13 | -0.01 | 16% | 30 May → | ||
| 4–13 | 0.06 | 33% | 30 May → | ||
| 13–1 | -0.11 | 25% | 30 May → | ||
| 10–13 | 0.02 | 16% | 30 May → | ||
| 13–9 | 0.01 | 24% | 29 May → | ||
| 10–13 | 0.01 | 20% | 29 May → | ||
| 13–5 | 0.09 | 22% | 29 May → | ||
| 4–13 | -0.02 | 32% | 26 May → | ||
| 13–3 | 0.13 | 18% | 26 May → | ||
| 13–1 | 0.07 | 16% | 25 May → | ||
| 13–5 | 0.09 | 17% | 25 May → | ||
| 7–13 | 0.06 | 21% | 24 May → | ||
| 13–9 | 0.01 | 25% | 23 May → | ||
| 13–6 | 0.03 | 15% | 23 May → | ||
| 13–11 | -0.00 | 22% | 23 May → | ||
| 13–7 | 0.01 | 32% | 23 May → | ||
| 13–3 | -0.07 | 20% | 23 May → | ||
| 13–6 | -0.02 | 20% | 22 May → | ||
| 13–8 | 0.08 | 33% | 22 May → | ||
| 10–13 | -0.02 | 19% | 22 May → | ||
| 6–13 | 0.02 | 15% | 22 May → | ||
| 13–9 | 0.09 | 47% | 22 May → | ||
| 13–3 | 0.12 | 20% | 21 May → | ||
| 13–5 | 0.12 | 28% | 20 May → | ||
| 11–13 | 0.16 | 25% | 20 May → | ||
| 13–7 | 0.01 | 11% | 16 May → | ||
| 13–1 | -0.02 | 35% | 16 May → | ||
| 10–13 | 0.03 | 29% | 15 May → | ||
| 13–10 | 0.06 | 27% | 15 May → | ||
| 13–7 | 0.16 | 22% | 15 May → | ||
| 13–11 | 0.08 | 26% | 15 May → | ||
| 13–2 | 0.14 | 32% | 15 May → | ||
| 13–8 | 0.08 | 29% | 14 May → | ||
| 3–4 | -0.00 | 100% | 14 May → | ||
| 13–5 | 0.16 | 15% | 14 May → | ||
| 8–8 | 0.01 | 23% | 14 May → | ||
| 13–11 | 0.12 | 24% | 14 May → | ||
| 13–5 | 0.07 | 28% | 13 May → | ||
| 12–12 | 0.07 | 14% | 13 May → | ||
| 13–6 | 0.04 | 20% | 13 May → | ||
| office | 13–9 | 0.05 | 25% | 13 May → | |
| office | 12–12 | 0.05 | 21% | 13 May → | |
| 8–13 | 0.06 | 28% | 13 May → | ||
| 13–4 | 0.18 | 25% | 12 May → | ||
| 13–7 | 0.10 | 18% | 10 May → | ||
| 13–6 | 0.12 | 27% | 10 May → | ||
| 13–3 | 0.07 | 13% | 9 May → | ||
| 12–12 | 0.14 | 29% | 9 May → | ||
| 13–7 | 0.17 | 29% | 9 May → | ||
| 11–13 | 0.07 | 29% | 9 May → |
Match data via Leetify.