Bips — CS2 Stats
FR76561198284989858[U:1:324724130]Steam profile ↗
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=3,007), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Level 10 median |
|---|---|---|
| Headshot rate | 38.8% | 52.0% |
| Shot accuracy | 16.9% | 13.7% |
| Kill/death ratio | 1.08 | 1.08 |
| Match win rate | 47.7% | 48.8% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.03 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimer
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 91% playstyle similarity
Most alike: opening-fight frequency, aim profile.
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 96 — the mechanical foundation is a clear strength.
CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
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 7.2/10 (Strong), 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 |
|---|---|---|---|---|---|
| B | 26 | 13–13 | 50% | 0.03 | |
| S | 16 | 11–5 | 69% | 0.03 | |
| B | 15 | 7–8 | 47% | 0.02 | |
| A | 15 | 9–6 | 60% | -0.01 | |
| C | 14 | 6–8 | 43% | 0.03 | |
| A | 10 | 6–4 | 60% | 0.03 | |
| — | 4 | 1–3 | 25% | 0.02 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (43% over 14). Start with the 6 essential Inferno 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 resultsWLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 294 | 51% | 1.22 | 17.1 |
| Anubis | 254 | 52% | 1.16 | 16.8 |
| Mirage | 203 | 48% | 1.13 | 16.5 |
| Vertigo | 161 | 56% | 1.20 | 16.9 |
| Dust2 | 98 | 44% | 1.06 | 15.8 |
| Ancient | 79 | 39% | 1.14 | 15.5 |
| Nuke | 73 | 41% | 1.16 | 15.2 |
| Overpass | 21 | 52% | 1.13 | 15.9 |
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.
43% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 1–13 | -0.08 | 6% | 28 Aug → | ||
| 13–7 | -0.01 | 19% | 23 Aug → | ||
| 3–13 | -0.00 | 10% | 23 Aug → | ||
| 15–15 | 0.05 | 19% | 23 Aug → | ||
| 13–11 | 0.03 | 34% | 22 Aug → | ||
| 13–10 | 0.03 | 47% | 22 Aug → | ||
| 6–13 | 0.01 | 31% | 22 Aug → | ||
| 1–13 | -0.04 | 15% | 22 Aug → | ||
| 10–13 | 0.10 | 11% | 22 Aug → | ||
| 13–10 | 0.08 | 21% | 22 Aug → | ||
| 15–15 | 0.08 | 9% | 22 Aug → | ||
| 7–13 | -0.01 | 25% | 22 Aug → | ||
| 15–15 | 0.00 | 19% | 21 Aug → | ||
| 13–4 | 0.03 | 10% | 21 Aug → | ||
| 13–8 | 0.08 | 19% | 21 Aug → | ||
| 11–13 | 0.05 | 23% | 20 Aug → | ||
| 13–6 | 0.05 | 35% | 20 Aug → | ||
| 13–2 | 0.07 | 21% | 20 Aug → | ||
| 13–7 | -0.00 | 21% | 20 Aug → | ||
| 11–13 | 0.07 | 25% | 20 Aug → | ||
| 13–3 | 0.12 | 31% | 20 Aug → | ||
| 13–9 | 0.00 | 36% | 20 Aug → | ||
| 31–29 | -0.00 | 21% | 20 Aug → | ||
| 8–13 | -0.00 | 16% | 19 Aug → | ||
| 13–8 | 0.03 | 17% | 19 Aug → | ||
| 13–5 | 0.01 | 18% | 19 Aug → | ||
| 13–6 | 0.01 | 35% | 19 Aug → | ||
| 11–13 | 0.00 | 22% | 18 Aug → | ||
| 8–13 | -0.03 | 21% | 18 Aug → | ||
| 19–15 | -0.01 | 16% | 18 Aug → | ||
| 8–13 | 0.01 | 22% | 18 Aug → | ||
| 13–16 | 0.01 | 22% | 18 Aug → | ||
| 8–13 | -0.06 | 25% | 18 Aug → | ||
| 7–13 | -0.00 | 26% | 17 Aug → | ||
| 11–13 | 0.04 | 25% | 17 Aug → | ||
| 11–13 | -0.01 | 28% | 16 Aug → | ||
| 9–13 | -0.01 | 16% | 16 Aug → | ||
| 9–13 | -0.04 | 30% | 16 Aug → | ||
| 13–11 | -0.01 | 32% | 16 Aug → | ||
| 14–16 | -0.04 | 9% | 15 Aug → | ||
| 11–13 | -0.02 | 10% | 15 Aug → | ||
| 13–7 | 0.02 | 40% | 15 Aug → | ||
| 9–13 | 0.02 | 20% | 15 Aug → | ||
| 8–13 | -0.04 | 33% | 15 Aug → | ||
| 13–10 | 0.01 | 21% | 15 Aug → | ||
| 13–7 | 0.09 | 22% | 13 Aug → | ||
| 12–16 | 0.09 | 24% | 13 Aug → | ||
| 13–9 | 0.06 | 25% | 12 Aug → | ||
| 13–10 | 0.04 | 16% | 11 Aug → | ||
| 11–13 | -0.06 | 15% | 11 Aug → | ||
| 13–8 | -0.03 | 28% | 11 Aug → | ||
| 5–13 | 0.01 | 17% | 11 Aug → | ||
| 25–23 | -0.03 | 11% | 11 Aug → | ||
| 13–7 | 0.02 | 19% | 10 Aug → | ||
| 13–4 | 0.06 | 15% | 10 Aug → | ||
| 13–5 | 0.10 | 33% | 10 Aug → | ||
| 13–6 | 0.02 | 13% | 8 Aug → | ||
| 12–16 | -0.04 | 26% | 8 Aug → | ||
| 7–13 | -0.04 | 19% | 8 Aug → | ||
| 13–6 | 0.06 | 15% | 8 Aug → | ||
| 13–1 | 0.13 | 15% | 7 Aug → | ||
| 4–13 | 0.05 | 21% | 7 Aug → | ||
| 11–13 | -0.02 | 5% | 7 Aug → | ||
| 9–13 | -0.03 | 18% | 7 Aug → | ||
| 11–13 | 0.05 | 5% | 7 Aug → | ||
| 13–9 | 0.00 | 20% | 7 Aug → | ||
| 11–13 | -0.04 | 25% | 7 Aug → | ||
| 13–5 | 0.05 | 21% | 7 Aug → | ||
| 13–16 | 0.05 | 20% | 7 Aug → | ||
| 13–9 | 0.03 | 11% | 6 Aug → | ||
| 13–10 | -0.03 | 11% | 6 Aug → | ||
| 19–17 | 0.05 | 16% | 6 Aug → | ||
| 13–9 | -0.03 | 13% | 6 Aug → | ||
| 13–11 | 0.02 | 14% | 6 Aug → | ||
| 8–13 | 0.03 | 30% | 6 Aug → | ||
| 19–16 | 0.05 | 29% | 5 Aug → | ||
| 13–9 | -0.03 | 8% | 5 Aug → | ||
| 19–16 | -0.02 | 20% | 5 Aug → | ||
| 14–16 | 0.06 | 12% | 5 Aug → | ||
| 13–9 | 0.09 | 10% | 5 Aug → | ||
| 13–9 | 0.05 | 26% | 5 Aug → | ||
| 8–13 | -0.03 | 14% | 5 Aug → | ||
| 14–16 | 0.00 | 21% | 5 Aug → | ||
| 13–8 | -0.03 | 30% | 4 Aug → | ||
| 13–5 | -0.03 | 23% | 4 Aug → | ||
| 8–13 | -0.00 | 17% | 4 Aug → | ||
| 13–8 | -0.03 | 33% | 3 Aug → | ||
| 13–10 | 0.04 | 13% | 3 Aug → | ||
| 13–7 | 0.05 | 15% | 3 Aug → | ||
| 11–13 | -0.04 | 17% | 3 Aug → | ||
| 13–7 | 0.13 | 21% | 3 Aug → | ||
| 10–13 | -0.05 | 14% | 2 Aug → | ||
| 13–7 | 0.07 | 36% | 2 Aug → | ||
| 13–8 | 0.09 | 18% | 2 Aug → | ||
| 13–5 | 0.03 | 17% | 2 Aug → | ||
| 6–13 | 0.02 | 36% | 1 Aug → | ||
| 7–13 | -0.04 | 10% | 1 Aug → | ||
| 13–9 | 0.04 | 25% | 1 Aug → | ||
| 13–11 | 0.09 | 11% | 1 Aug → | ||
| 10–13 | 0.04 | 20% | 1 Aug → |
Match data via Leetify.