b1te — CS2 Stats
76561198193928117[U:1:233662389]Steam profile ↗
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), 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 | 41.4% | 52.8% |
| Shot accuracy | 11.5% | 13.7% |
| Kill/death ratio | 1.05 | 1.08 |
| Match win rate | 48.2% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · +0.07 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Strong CT-side openerEffective flashes
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 94% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
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. 66% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Flashes. 0.75 enemies blinded per flash — utility that consistently lands.
Areas to improve
T-side openings. Opening success drops from 66% on CT to 45% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 572ms 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 7.2/10 (Strong), 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 |
|---|---|---|---|---|---|
| B | 27 | 14–13 | 52% | 0.05 | |
| A | 19 | 11–8 | 58% | 0.03 | |
| C | 15 | 6–9 | 40% | 0.01 | |
| A | 8 | 5–3 | 63% | 0.08 | |
| B | 6 | 3–3 | 50% | 0.04 | |
| D | 6 | 1–5 | 17% | 0.00 | |
| S | 6 | 4–2 | 67% | 0.05 | |
| A | 5 | 3–2 | 60% | 0.03 | |
| — | 4 | 2–2 | 50% | 0.02 | |
| office | — | 2 | 2–0 | 100% | 0.00 |
| debris | — | 1 | 1–0 | 100% | 0.07 |
| — | 1 | 0–1 | 0% | -0.03 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (17% over 6). 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 resultsWWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 537 | 54% | 1.22 | 17.6 |
| Ancient | 286 | 48% | 1.12 | 16.3 |
| Anubis | 234 | 53% | 1.16 | 16.7 |
| Dust2 | 213 | 50% | 1.23 | 17.0 |
| Inferno | 130 | 43% | 1.14 | 16.5 |
| Vertigo | 70 | 53% | 1.15 | 16.0 |
| Nuke | 41 | 39% | 1.01 | 14.3 |
| Overpass | 34 | 32% | 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.
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 | |
|---|---|---|---|---|---|
| 13–7 | 0.14 | 25% | 23 Aug → | ||
| 12–12 | 0.09 | 14% | 23 Aug → | ||
| 13–3 | 0.13 | 16% | 21 Aug → | ||
| 13–1 | 0.22 | 24% | 21 Aug → | ||
| 13–6 | 0.08 | 20% | 21 Aug → | ||
| 13–6 | 0.07 | 19% | 21 Aug → | ||
| 10–13 | 0.11 | 22% | 27 Jul → | ||
| 11–13 | 0.09 | 17% | 27 Jul → | ||
| 13–3 | 0.10 | 27% | 26 Jul → | ||
| 6–13 | -0.00 | 24% | 21 Jul → | ||
| 8–13 | 0.01 | 18% | 19 Jul → | ||
| 13–7 | 0.05 | 18% | 19 Jul → | ||
| 5–13 | -0.03 | 17% | 19 Jul → | ||
| 13–9 | 0.06 | 13% | 18 Jul → | ||
| debris | 9–5 | 0.07 | 11% | 9 Jul → | |
| 13–10 | 0.07 | 12% | 9 Jul → | ||
| 13–4 | 0.06 | 31% | 9 Jul → | ||
| 13–11 | 0.00 | 24% | 3 Jul → | ||
| 4–13 | -0.08 | 9% | 2 Jul → | ||
| 16–14 | 0.07 | 18% | 30 Jun → | ||
| 8–13 | 0.02 | 21% | 30 Jun → | ||
| 17–19 | -0.00 | 12% | 27 Jun → | ||
| 3–13 | 0.00 | 10% | 27 Jun → | ||
| 14–16 | -0.05 | 13% | 24 Jun → | ||
| 13–4 | 0.04 | 38% | 22 Jun → | ||
| 8–13 | -0.01 | 13% | 22 Jun → | ||
| 7–13 | 0.00 | 18% | 20 Jun → | ||
| 10–13 | 0.04 | 30% | 20 Jun → | ||
| 16–14 | 0.05 | 29% | 20 Jun → | ||
| 11–13 | -0.03 | 28% | 17 Jun → | ||
| 13–8 | 0.01 | 17% | 16 Jun → | ||
| 6–13 | -0.01 | 17% | 15 Jun → | ||
| 13–11 | 0.04 | 17% | 15 Jun → | ||
| 11–13 | 0.13 | 16% | 13 Jun → | ||
| 13–7 | -0.01 | 16% | 13 Jun → | ||
| 1–13 | -0.03 | 14% | 12 Jun → | ||
| 9–13 | 0.05 | 24% | 11 Jun → | ||
| 7–13 | -0.02 | 23% | 10 Jun → | ||
| 11–13 | -0.02 | 12% | 5 Jun → | ||
| 8–13 | 0.12 | 19% | 24 May → | ||
| 20–22 | 0.00 | 15% | 21 May → | ||
| office | 13–6 | -0.04 | 14% | 14 May → | |
| 13–9 | 0.06 | 24% | 10 May → | ||
| 13–7 | 0.06 | 16% | 10 May → | ||
| 13–6 | 0.09 | 10% | 30 Apr → | ||
| 13–10 | 0.05 | 18% | 29 Apr → | ||
| 13–9 | 0.02 | 15% | 24 Apr → | ||
| 2–13 | -0.08 | 14% | 23 Apr → | ||
| 6–13 | -0.07 | 9% | 23 Apr → | ||
| 7–9 | 0.02 | 18% | 17 Apr → | ||
| 13–6 | 0.01 | 13% | 12 Apr → | ||
| 9–13 | 0.07 | 21% | 11 Apr → | ||
| 13–6 | 0.08 | 31% | 3 Apr → | ||
| 3–13 | -0.00 | 29% | 20 Mar → | ||
| 8–13 | 0.05 | 16% | 20 Mar → | ||
| 13–8 | 0.01 | 28% | 20 Mar → | ||
| office | 13–1 | 0.04 | 41% | 18 Mar → | |
| 13–6 | -0.06 | 19% | 16 Mar → | ||
| 14–16 | 0.04 | 16% | 5 Mar → | ||
| 6–13 | 0.10 | 9% | 23 Feb → | ||
| 13–5 | 0.06 | 26% | 23 Feb → | ||
| 9–6 | 0.07 | 29% | 20 Feb → | ||
| 13–6 | 0.01 | 8% | 15 Feb → | ||
| 13–6 | 0.05 | 15% | 13 Feb → | ||
| 8–13 | -0.03 | 16% | 13 Feb → | ||
| 13–16 | 0.01 | 17% | 10 Feb → | ||
| 13–9 | -0.02 | 18% | 10 Feb → | ||
| 17–19 | 0.01 | 15% | 5 Feb → | ||
| 13–4 | 0.05 | 21% | 3 Feb → | ||
| 3–13 | 0.06 | 18% | 3 Jan → | ||
| 5–13 | 0.10 | 25% | 3 Jan → | ||
| 13–4 | 0.11 | 11% | 2 Jan → | ||
| 12–12 | 0.00 | 20% | 29 Dec → | ||
| 13–9 | 0.01 | 16% | 26 Dec → | ||
| 11–13 | 0.02 | 12% | 24 Dec → | ||
| 13–2 | 0.12 | 31% | 24 Dec → | ||
| 6–0 | -0.01 | 14% | 24 Dec → | ||
| 6–13 | -0.04 | 13% | 21 Dec → | ||
| 14–16 | -0.01 | 31% | 18 Dec → | ||
| 13–10 | 0.03 | 16% | 12 Dec → | ||
| 13–6 | 0.10 | 17% | 10 Dec → | ||
| 0–6 | -0.04 | 14% | 10 Dec → | ||
| 0–8 | -0.01 | 36% | 10 Dec → | ||
| 13–1 | 0.10 | 15% | 10 Dec → | ||
| 16–12 | -0.02 | 5% | 10 Dec → | ||
| 13–7 | -0.00 | 19% | 8 Dec → | ||
| 11–13 | -0.05 | 15% | 7 Dec → | ||
| 9–2 | 0.27 | 16% | 6 Dec → | ||
| 13–2 | 0.09 | 12% | 2 Dec → | ||
| 13–4 | 0.06 | 14% | 2 Dec → | ||
| 13–10 | 0.04 | 30% | 2 Dec → | ||
| 10–13 | 0.05 | 11% | 22 Nov → | ||
| 6–13 | -0.03 | 13% | 21 Nov → | ||
| 4–13 | 0.05 | 27% | 14 Nov → | ||
| 13–10 | -0.02 | 21% | 13 Nov → | ||
| 13–6 | 0.05 | 29% | 6 Nov → | ||
| 13–3 | 0.10 | 35% | 3 Nov → | ||
| 9–13 | -0.06 | 38% | 3 Nov → | ||
| 9–13 | 0.01 | 18% | 31 Oct → | ||
| 13–7 | 0.05 | 18% | 30 Oct → |
Match data via Leetify.