bebo — CS2 Stats
76561198441615468[U:1:481349740]Steam profile ↗
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=3,917), 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 | Pink band median | Red band median | vs Red band |
|---|---|---|---|---|
| Headshot rate | 50.3% | 47.2% | 49.9% | meets |
| Shot accuracy | 11.7% | 12.7% | 13.4% | 1.7% short |
| Kill/death ratio | 1.16 | 1.09 | 1.12 | above |
| Match win rate | 51.2% | 46.6% | 48.4% | above |
This profile matches the typical Red band player on 3 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Red 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: -30pp win rate · +0.02 avg rating
Player DNA
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 b1t 88% playstyle similarity
Most alike: utility contribution, 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
Reaction time. 599ms 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 (×1.02 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 |
|---|---|---|---|---|---|
 dust2 | B | 38 | 19–19 | 50% | 0.02 |
 mirage | B | 16 | 8–8 | 50% | -0.00 |
 inferno | B | 13 | 6–7 | 46% | -0.01 |
 anubis | C | 11 | 4–7 | 36% | -0.01 |
 ancient | A | 9 | 5–4 | 56% | -0.00 |
 nuke | B | 6 | 3–3 | 50% | 0.01 |
 cache | S | 5 | 4–1 | 80% | 0.02 |
 overpass | — | 2 | 1–1 | 50% | 0.00 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (36% over 11). 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 resultsLLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 1 | 100% | 3.29 | 23.0 |
| Inferno | 1 | 0% | 0.57 | 8.0 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 13–7 | 0.12 | 13% | 29 Aug → | |
| anubis | 9–13 | -0.03 | 19% | 29 Aug → | |
| inferno | 10–13 | 0.00 | 20% | 28 Aug → | |
| mirage | 13–4 | 0.00 | 11% | 28 Aug → | |
| ancient | 13–9 | 0.00 | 18% | 28 Aug → | |
| dust2 | 15–15 | -0.00 | 11% | 28 Aug → | |
| dust2 | 13–7 | 0.06 | 18% | 27 Aug → | |
| inferno | 8–13 | -0.00 | 21% | 23 Aug → | |
| mirage | 1–13 | -0.07 | 14% | 21 Aug → | |
| cache | 10–13 | -0.00 | 28% | 21 Aug → | |
| anubis | 13–5 | -0.02 | 15% | 21 Aug → | |
| dust2 | 4–13 | -0.08 | 25% | 21 Aug → | |
| cache | 13–10 | -0.02 | 17% | 21 Aug → | |
| mirage | 13–6 | 0.02 | 19% | 21 Aug → | |
| inferno | 3–13 | -0.09 | 18% | 21 Aug → | |
| dust2 | 13–6 | 0.12 | 23% | 21 Aug → | |
| nuke | 13–5 | 0.02 | 17% | 21 Aug → | |
| ancient | 13–11 | -0.02 | 11% | 20 Aug → | |
| ancient | 13–9 | -0.01 | 25% | 20 Aug → | |
| dust2 | 9–13 | -0.00 | 23% | 20 Aug → | |
| dust2 | 14–16 | -0.04 | 14% | 20 Aug → | |
| ancient | 15–15 | 0.00 | 21% | 14 Aug → | |
| nuke | 13–4 | -0.05 | 14% | 13 Aug → | |
| mirage | 13–8 | 0.01 | 21% | 13 Aug → | |
| cache | 13–3 | 0.06 | 12% | 13 Aug → | |
| cache | 11–2 | 0.00 | 22% | 13 Aug → | |
| dust2 | 16–13 | 0.04 | 10% | 13 Aug → | |
| dust2 | 13–2 | 0.04 | 13% | 13 Aug → | |
| dust2 | 7–13 | 0.02 | 20% | 13 Aug → | |
| dust2 | 8–13 | 0.09 | 27% | 13 Aug → | |
| anubis | 11–13 | 0.02 | 18% | 28 Jul → | |
| nuke | 13–8 | 0.04 | 12% | 28 Jul → | |
| mirage | 13–11 | 0.02 | 13% | 27 Jul → | |
| dust2 | 4–13 | 0.04 | 24% | 27 Jul → | |
| ancient | 13–10 | 0.03 | 11% | 22 Jul → | |
| cache | 13–7 | 0.05 | 15% | 22 Jul → | |
| mirage | 9–13 | 0.00 | 12% | 20 Jul → | |
| anubis | 1–10 | -0.01 | 20% | 20 Jul → | |
| dust2 | 9–13 | 0.07 | 19% | 12 Jul → | |
| anubis | 6–13 | -0.00 | 13% | 6 Jul → | |
| inferno | 13–10 | -0.00 | 12% | 3 Jul → | |
| inferno | 6–13 | -0.05 | 25% | 3 Jul → | |
| dust2 | 11–13 | 0.01 | 14% | 3 Jul → | |
| dust2 | 16–13 | 0.01 | 13% | 3 Jul → | |
| inferno | 13–9 | -0.01 | 28% | 2 Jul → | |
| inferno | 7–13 | 0.02 | 22% | 2 Jul → | |
| ancient | 7–13 | 0.03 | 21% | 29 Jun → | |
| mirage | 9–13 | -0.05 | 17% | 29 Jun → | |
| mirage | 9–13 | -0.03 | 16% | 28 Jun → | |
| mirage | 11–13 | -0.03 | 18% | 28 Jun → | |
| dust2 | 13–10 | -0.05 | 11% | 27 Jun → | |
| dust2 | 13–6 | -0.09 | 6% | 27 Jun → | |
| mirage | 13–8 | 0.02 | 16% | 27 Jun → | |
| dust2 | 13–5 | 0.05 | 17% | 27 Jun → | |
| inferno | 16–12 | -0.06 | 9% | 27 Jun → | |
| inferno | 5–13 | -0.05 | 38% | 26 Jun → | |
| dust2 | 10–13 | -0.03 | 17% | 26 Jun → | |
| mirage | 8–13 | 0.04 | 21% | 25 Jun → | |
| dust2 | 10–13 | -0.06 | 21% | 25 Jun → | |
| inferno | 13–1 | 0.11 | 22% | 25 Jun → | |
| dust2 | 13–6 | 0.07 | 24% | 25 Jun → | |
| anubis | 13–3 | 0.06 | 17% | 25 Jun → | |
| mirage | 10–13 | 0.03 | 16% | 25 Jun → | |
| dust2 | 5–13 | -0.03 | 46% | 25 Jun → | |
| dust2 | 13–10 | 0.04 | 26% | 24 Jun → | |
| dust2 | 8–13 | -0.03 | 19% | 24 Jun → | |
| dust2 | 13–9 | 0.01 | 15% | 18 Jun → | |
| overpass | 13–16 | 0.02 | 16% | 17 Jun → | |
| dust2 | 0–13 | -0.06 | 7% | 17 Jun → | |
| anubis | 9–13 | -0.03 | 26% | 17 Jun → | |
| ancient | 13–9 | -0.05 | 17% | 16 Jun → | |
| mirage | 16–14 | 0.02 | 19% | 15 Jun → | |
| inferno | 10–13 | 0.03 | 23% | 11 Jun → | |
| ancient | 11–13 | -0.01 | 14% | 11 Jun → | |
| nuke | 4–13 | -0.00 | 18% | 10 Jun → | |
| dust2 | 2–9 | 0.05 | 100% | 10 Jun → | |
| dust2 | 13–6 | 0.04 | 25% | 10 Jun → | |
| dust2 | 13–8 | 0.12 | 22% | 10 Jun → | |
| nuke | 3–13 | 0.02 | 19% | 10 Jun → | |
| dust2 | 12–0 | 0.02 | 13% | 10 Jun → | |
| inferno | 13–11 | 0.02 | 26% | 10 Jun → | |
| dust2 | 13–6 | 0.02 | 18% | 3 Jun → | |
| inferno | 13–4 | -0.02 | 18% | 3 Jun → | |
| overpass | 13–9 | -0.01 | 23% | 3 Jun → | |
| dust2 | 11–13 | 0.02 | 28% | 1 Jun → | |
| ancient | 9–13 | -0.01 | 15% | 1 Jun → | |
| dust2 | 13–11 | 0.05 | 29% | 31 May → | |
| dust2 | 13–6 | 0.03 | 25% | 31 May → | |
| anubis | 13–8 | 0.03 | 24% | 25 May → | |
| mirage | 16–13 | 0.06 | 30% | 25 May → | |
| mirage | 13–6 | -0.02 | 11% | 25 May → | |
| dust2 | 7–11 | -0.04 | 25% | 25 May → | |
| mirage | 12–16 | -0.04 | 15% | 25 May → | |
| anubis | 16–12 | -0.00 | 15% | 25 May → | |
| nuke | 10–13 | 0.04 | 17% | 24 May → | |
| anubis | 9–13 | -0.02 | 13% | 24 May → | |
| dust2 | 8–13 | -0.03 | 17% | 23 May → | |
| dust2 | 13–8 | 0.01 | 28% | 23 May → | |
| dust2 | 7–13 | 0.01 | 24% | 23 May → | |
| anubis | 1–13 | -0.06 | 14% | 18 May → |
Match data via Leetify.