Bikeosaurus gravelensis — CS2 Stats
DE76561198138305458[U:1:178039730]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Purple band among CSDB-tracked players (n=5,002), 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 | Purple band median | Pink band median | vs Pink band |
|---|---|---|---|---|
| Headshot rate | 38.0% | 44.2% | 47.1% | 9.1% short |
| Shot accuracy | 0.2% | 11.6% | 12.8% | 12.6% short |
| Kill/death ratio | 1.22 | 1.03 | 1.08 | above |
| Match win rate | 50.2% | 45.2% | 46.6% | above |
This profile matches the typical Pink band player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · +0.07 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Limited utility dependence
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 ropz 87% 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
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. 659ms 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 5.9/10 (Solid), 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 |
|---|---|---|---|---|---|
 cache | C | 25 | 9–16 | 36% | 0.03 |
 inferno | A | 18 | 10–8 | 56% | 0.01 |
 anubis | D | 14 | 3–11 | 21% | 0.00 |
 nuke | S | 9 | 6–3 | 67% | 0.01 |
 mirage | S | 9 | 6–3 | 67% | 0.00 |
 ancient | D | 6 | 1–5 | 17% | 0.01 |
 train | D | 5 | 1–4 | 20% | 0.00 |
 overpass | — | 4 | 0–4 | 0% | -0.01 |
 dust2 | — | 2 | 2–0 | 100% | 0.02 |
| alpine | — | 2 | 1–1 | 50% | -0.04 |
| boulder | — | 1 | 0–1 | 0% | -0.05 |
| shelter | — | 1 | 0–1 | 0% | -0.05 |
| office | — | 1 | 0–1 | 0% | 0.02 |
| warden | — | 1 | 0–1 | 0% | -0.02 |
 vertigo | — | 1 | 0–1 | 0% | -0.08 |
| poseidon | — | 1 | 1–0 | 100% | 0.24 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient 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 | 1 | 100% | 1.57 | 11.0 |
| Mirage | 1 | 100% | 1.18 | 20.0 |
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.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.3865 — below the 0.5 mark we flag
- 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 37.2896% — 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.
17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| cache | 13–9 | 0.01 | 21% | 30 Aug → | |
| cache | 6–3 | 0.10 | 17% | 30 Aug → | |
| anubis | 13–6 | 0.07 | 14% | 29 Aug → | |
| ancient | 10–13 | 0.02 | 22% | 29 Aug → | |
| nuke | 13–5 | 0.13 | 14% | 29 Aug → | |
| cache | 9–13 | 0.09 | 18% | 29 Aug → | |
| inferno | 8–13 | -0.02 | 15% | 29 Aug → | |
| cache | 12–12 | 0.11 | 8% | 29 Aug → | |
| inferno | 13–10 | 0.11 | 19% | 28 Aug → | |
| anubis | 13–8 | 0.01 | 17% | 28 Aug → | |
| mirage | 3–13 | -0.00 | 25% | 28 Aug → | |
| inferno | 12–12 | 0.04 | 26% | 28 Aug → | |
| inferno | 13–9 | 0.12 | 17% | 27 Aug → | |
| nuke | 13–7 | 0.01 | 13% | 26 Aug → | |
| ancient | 3–13 | -0.06 | 19% | 26 Aug → | |
| train | 3–13 | -0.07 | 33% | 26 Aug → | |
| inferno | 13–3 | -0.04 | 15% | 26 Aug → | |
| mirage | 1–13 | -0.11 | 27% | 22 Aug → | |
| inferno | 13–7 | 0.02 | 18% | 22 Aug → | |
| cache | 3–13 | -0.00 | 14% | 22 Aug → | |
| ancient | 8–13 | -0.01 | 8% | 21 Aug → | |
| mirage | 13–8 | 0.01 | 3% | 21 Aug → | |
| inferno | 3–13 | -0.02 | 33% | 21 Aug → | |
| inferno | 13–9 | 0.09 | 20% | 20 Aug → | |
| cache | 12–12 | 0.02 | 12% | 20 Aug → | |
| dust2 | 13–11 | 0.00 | 23% | 20 Aug → | |
| anubis | 10–13 | -0.08 | 15% | 20 Aug → | |
| nuke | 10–13 | 0.01 | 13% | 20 Aug → | |
| train | 2–13 | -0.06 | 10% | 19 Aug → | |
| nuke | 13–10 | -0.07 | 16% | 11 Aug → | |
| anubis | 11–13 | -0.04 | 12% | 10 Aug → | |
| anubis | 6–13 | 0.00 | 17% | 27 Jul → | |
| cache | 4–13 | 0.00 | 22% | 27 Jul → | |
| inferno | 8–13 | -0.10 | 18% | 17 Jul → | |
| inferno | 4–13 | -0.10 | 7% | 14 Jul → | |
| train | 12–12 | -0.00 | 27% | 13 Jul → | |
| boulder | 1–11 | -0.05 | 20% | 13 Jul → | |
| shelter | 5–13 | -0.05 | 31% | 9 Jul → | |
| alpine | 13–8 | -0.14 | 20% | 8 Jul → | |
| overpass | 5–13 | -0.07 | 14% | 8 Jul → | |
| anubis | 7–13 | 0.04 | 23% | 8 Jul → | |
| office | 2–13 | 0.02 | 20% | 8 Jul → | |
| dust2 | 13–6 | 0.03 | 12% | 5 Jul → | |
| mirage | 13–8 | 0.06 | 23% | 5 Jul → | |
| nuke | 3–13 | -0.01 | 25% | 5 Jul → | |
| cache | 6–13 | -0.02 | 8% | 2 Jul → | |
| mirage | 13–10 | -0.00 | 31% | 30 Jun → | |
| inferno | 13–16 | -0.01 | 17% | 29 Jun → | |
| nuke | 13–7 | -0.08 | 11% | 28 Jun → | |
| mirage | 13–8 | -0.00 | 5% | 28 Jun → | |
| nuke | 9–6 | 0.05 | 16% | 11 Jun → | |
| inferno | 9–7 | 0.14 | 10% | 11 Jun → | |
| ancient | 2–13 | -0.02 | 6% | 11 Jun → | |
| mirage | 8–13 | -0.05 | 23% | 10 Jun → | |
| nuke | 13–8 | 0.03 | 23% | 10 Jun → | |
| overpass | 12–12 | 0.03 | 11% | 9 Jun → | |
| ancient | 12–12 | 0.06 | 15% | 9 Jun → | |
| anubis | 13–10 | -0.01 | 16% | 9 Jun → | |
| warden | 6–13 | -0.02 | 15% | 8 Jun → | |
| inferno | 11–13 | 0.00 | 15% | 8 Jun → | |
| anubis | 11–13 | 0.03 | 14% | 8 Jun → | |
| mirage | 13–9 | -0.04 | 21% | 7 Jun → | |
| train | 9–13 | 0.06 | 17% | 4 Jun → | |
| overpass | 7–13 | -0.01 | 17% | 2 Jun → | |
| cache | 13–3 | -0.01 | 23% | 2 Jun → | |
| inferno | 13–11 | -0.06 | 10% | 1 Jun → | |
| alpine | 9–13 | 0.06 | 20% | 1 Jun → | |
| anubis | 11–13 | 0.10 | 14% | 1 Jun → | |
| ancient | 13–5 | 0.06 | 8% | 27 May → | |
| nuke | 4–13 | 0.00 | 9% | 25 May → | |
| inferno | 13–3 | 0.08 | 16% | 25 May → | |
| anubis | 3–13 | -0.04 | 14% | 25 May → | |
| cache | 5–13 | -0.03 | 14% | 25 May → | |
| inferno | 13–8 | 0.05 | 18% | 22 May → | |
| anubis | 2–13 | 0.03 | 13% | 20 May → | |
| cache | 9–13 | 0.04 | 9% | 20 May → | |
| cache | 13–2 | 0.03 | 10% | 18 May → | |
| vertigo | 0–13 | -0.08 | 16% | 18 May → | |
| anubis | 12–12 | -0.03 | 8% | 16 May → | |
| anubis | 10–13 | -0.00 | 13% | 16 May → | |
| inferno | 13–8 | 0.01 | 24% | 16 May → | |
| cache | 8–13 | 0.03 | 16% | 13 May → | |
| cache | 13–3 | 0.13 | 16% | 13 May → | |
| cache | 13–3 | 0.18 | 26% | 13 May → | |
| train | 13–8 | 0.09 | 12% | 13 May → | |
| cache | 12–12 | -0.01 | 20% | 12 May → | |
| mirage | 13–1 | 0.15 | 24% | 6 May → | |
| cache | 12–12 | -0.03 | 16% | 6 May → | |
| cache | 8–13 | 0.05 | 16% | 6 May → | |
| anubis | 12–12 | -0.05 | 17% | 5 May → | |
| overpass | 8–13 | 0.01 | 14% | 5 May → | |
| cache | 8–13 | -0.07 | 19% | 4 May → | |
| inferno | 5–13 | -0.05 | 10% | 4 May → | |
| cache | 10–13 | 0.02 | 14% | 2 May → | |
| cache | 13–8 | -0.04 | 22% | 1 May → | |
| cache | 2–13 | -0.02 | 14% | 1 May → | |
| cache | 13–4 | 0.05 | 18% | 1 May → | |
| cache | 13–9 | 0.10 | 14% | 30 Apr → | |
| poseidon | 9–1 | 0.24 | 24% | 30 Apr → | |
| cache | 8–13 | -0.00 | 10% | 30 Apr → |
Match data via Leetify.
