BigBeefHarrison — CS2 Stats
76561198134076881[U:1:173811153]
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 | vs Level 10 |
|---|---|---|---|
| Headshot rate | 56.6% | 52.8% | above |
| Shot accuracy | 14.2% | 13.7% | above |
| Kill/death ratio | 0.89 | 1.08 | 0.19 short |
| Match win rate | 37.3% | 49.2% | 11.9% short |
This profile matches the typical Level 10 player on 2 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.00 avg rating
Player DNA
Primary style: Support — Utility contribution leads the profile while opening activity stays low.
Effective 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 NiKo 81% playstyle similarity
Most alike: utility contribution, positioning profile.
Where you differ: lower opening-fight frequency; 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
Flashes. 0.76 enemies blinded per flash — utility that consistently lands.
Areas to improve
Reaction time. 586ms 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 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 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 | A | 20 | 11–9 | 55% | -0.00 |
 ancient | B | 12 | 6–6 | 50% | 0.01 |
 nuke | C | 12 | 5–7 | 42% | -0.00 |
 mirage | A | 11 | 6–5 | 55% | -0.01 |
 anubis | C | 10 | 4–6 | 40% | -0.01 |
 train | C | 9 | 4–5 | 44% | -0.00 |
 dust2 | A | 9 | 5–4 | 56% | 0.00 |
 inferno | B | 6 | 3–3 | 50% | 0.02 |
 vertigo | — | 3 | 3–0 | 100% | 0.03 |
 overpass | — | 3 | 2–1 | 67% | 0.03 |
| boulder | — | 2 | 2–0 | 100% | -0.00 |
| fachwerk | — | 2 | 1–1 | 50% | 0.03 |
| shelter | — | 1 | 1–0 | 100% | 0.00 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (40% over 10). 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 resultsLLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 162 | 44% | 0.99 | 13.8 |
| Anubis | 154 | 51% | 1.09 | 15.6 |
| Ancient | 134 | 54% | 1.03 | 15.0 |
| Dust2 | 109 | 50% | 1.01 | 14.8 |
| Inferno | 90 | 57% | 1.06 | 15.1 |
| Nuke | 56 | 46% | 0.93 | 15.0 |
| Vertigo | 41 | 54% | 1.00 | 14.0 |
| Train | 17 | 59% | 1.05 | 16.3 |
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.
- 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 22.8807% — 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.
40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| cache | 13–8 | -0.03 | 31% | 25 Aug → | |
| ancient | 2–9 | -0.04 | 14% | 11 Aug → | |
| train | 13–11 | -0.01 | 25% | 11 Aug → | |
| cache | 8–13 | 0.02 | 33% | 10 Aug → | |
| inferno | 10–13 | -0.04 | 14% | 10 Aug → | |
| nuke | 11–13 | 0.08 | 23% | 10 Aug → | |
| train | 13–7 | 0.01 | 21% | 10 Aug → | |
| ancient | 13–4 | -0.06 | 11% | 10 Aug → | |
| cache | 6–13 | -0.08 | 9% | 10 Aug → | |
| dust2 | 13–9 | -0.03 | 17% | 4 Aug → | |
| vertigo | 13–8 | -0.02 | 10% | 3 Aug → | |
| train | 13–7 | -0.02 | 14% | 3 Aug → | |
| vertigo | 13–6 | 0.03 | 11% | 3 Aug → | |
| cache | 10–0 | -0.03 | 17% | 3 Aug → | |
| ancient | 13–10 | -0.04 | 17% | 3 Aug → | |
| mirage | 3–13 | -0.01 | 13% | 2 Aug → | |
| train | 11–13 | -0.01 | 20% | 2 Aug → | |
| nuke | 3–13 | -0.04 | 26% | 2 Aug → | |
| dust2 | 3–13 | -0.04 | 11% | 2 Aug → | |
| anubis | 8–13 | -0.03 | 7% | 2 Aug → | |
| cache | 13–4 | 0.10 | 16% | 2 Aug → | |
| ancient | 11–13 | 0.03 | 17% | 2 Aug → | |
| nuke | 13–5 | 0.01 | 17% | 30 Jul → | |
| cache | 7–13 | -0.06 | 16% | 30 Jul → | |
| mirage | 13–11 | 0.02 | 17% | 28 Jul → | |
| nuke | 3–13 | -0.05 | 13% | 27 Jul → | |
| cache | 13–8 | 0.04 | 22% | 27 Jul → | |
| mirage | 13–4 | 0.06 | 15% | 25 Jul → | |
| anubis | 8–13 | -0.02 | 7% | 25 Jul → | |
| cache | 3–13 | -0.05 | 28% | 25 Jul → | |
| anubis | 9–13 | 0.02 | 15% | 23 Jul → | |
| anubis | 8–13 | -0.04 | 20% | 23 Jul → | |
| dust2 | 13–5 | 0.07 | 28% | 23 Jul → | |
| nuke | 13–11 | -0.02 | 10% | 21 Jul → | |
| mirage | 13–2 | -0.03 | 17% | 21 Jul → | |
| inferno | 13–2 | 0.13 | 15% | 19 Jul → | |
| cache | 13–11 | 0.02 | 23% | 18 Jul → | |
| anubis | 13–11 | -0.02 | 11% | 18 Jul → | |
| ancient | 13–11 | -0.01 | 16% | 18 Jul → | |
| cache | 12–12 | 0.06 | 13% | 14 Jul → | |
| nuke | 13–6 | 0.06 | 16% | 13 Jul → | |
| cache | 13–8 | 0.05 | 26% | 12 Jul → | |
| boulder | 5–3 | -0.05 | 8% | 12 Jul → | |
| shelter | 13–6 | 0.00 | 14% | 12 Jul → | |
| fachwerk | 13–3 | 0.07 | 12% | 12 Jul → | |
| fachwerk | 2–6 | -0.02 | 7% | 9 Jul → | |
| boulder | 13–11 | 0.04 | 16% | 8 Jul → | |
| ancient | 8–13 | 0.10 | 19% | 7 Jul → | |
| anubis | 13–6 | 0.12 | 13% | 6 Jul → | |
| nuke | 12–12 | 0.06 | 25% | 6 Jul → | |
| dust2 | 13–4 | 0.01 | 47% | 6 Jul → | |
| ancient | 13–5 | 0.09 | 27% | 6 Jul → | |
| anubis | 4–0 | -0.01 | 0% | 6 Jul → | |
| cache | 13–6 | -0.04 | 16% | 6 Jul → | |
| train | 12–12 | -0.01 | 20% | 6 Jul → | |
| dust2 | 13–2 | 0.04 | 27% | 6 Jul → | |
| cache | 13–5 | -0.03 | 17% | 6 Jul → | |
| inferno | 13–10 | 0.01 | 8% | 6 Jul → | |
| ancient | 8–13 | -0.07 | 26% | 5 Jul → | |
| nuke | 13–8 | -0.02 | 10% | 5 Jul → | |
| ancient | 13–1 | 0.05 | 17% | 5 Jul → | |
| cache | 8–13 | -0.06 | 17% | 30 Jun → | |
| dust2 | 5–13 | 0.01 | 22% | 30 Jun → | |
| ancient | 8–13 | 0.03 | 14% | 30 Jun → | |
| cache | 13–10 | 0.06 | 23% | 29 Jun → | |
| mirage | 14–16 | 0.00 | 17% | 29 Jun → | |
| train | 5–13 | -0.06 | 9% | 26 Jun → | |
| cache | 13–4 | 0.02 | 15% | 26 Jun → | |
| anubis | 6–13 | -0.06 | 14% | 24 Jun → | |
| ancient | 13–5 | 0.01 | 14% | 23 Jun → | |
| cache | 13–8 | -0.00 | 15% | 23 Jun → | |
| train | 6–13 | -0.04 | 14% | 23 Jun → | |
| nuke | 1–10 | -0.05 | 43% | 23 Jun → | |
| cache | 1–13 | -0.00 | 9% | 23 Jun → | |
| cache | 10–13 | 0.04 | 13% | 23 Jun → | |
| overpass | 19–15 | -0.01 | 13% | 22 Jun → | |
| train | 13–6 | 0.12 | 24% | 15 Jun → | |
| mirage | 10–13 | -0.07 | 4% | 12 Jun → | |
| mirage | 12–12 | -0.03 | 9% | 12 Jun → | |
| mirage | 13–8 | -0.04 | 16% | 12 Jun → | |
| inferno | 15–15 | -0.03 | 14% | 10 Jun → | |
| overpass | 10–13 | -0.04 | 23% | 9 Jun → | |
| inferno | 13–11 | 0.06 | 19% | 9 Jun → | |
| dust2 | 6–13 | -0.02 | 15% | 8 Jun → | |
| anubis | 16–13 | -0.03 | 18% | 8 Jun → | |
| mirage | 13–6 | 0.03 | 16% | 8 Jun → | |
| nuke | 13–6 | -0.01 | 21% | 8 Jun → | |
| nuke | 11–13 | 0.00 | 20% | 7 Jun → | |
| cache | 8–13 | -0.07 | 32% | 7 Jun → | |
| train | 12–12 | -0.03 | 23% | 7 Jun → | |
| vertigo | 4–0 | 0.08 | 18% | 7 Jun → | |
| dust2 | 9–13 | -0.05 | 31% | 7 Jun → | |
| mirage | 13–6 | 0.00 | 27% | 7 Jun → | |
| inferno | 4–13 | -0.03 | 27% | 7 Jun → | |
| anubis | 7–13 | -0.03 | 20% | 6 Jun → | |
| nuke | 11–13 | -0.03 | 16% | 6 Jun → | |
| mirage | 9–13 | -0.02 | 13% | 6 Jun → | |
| dust2 | 13–10 | 0.03 | 14% | 3 Jun → | |
| overpass | 12–0 | 0.13 | 27% | 3 Jun → | |
| ancient | 9–13 | 0.06 | 13% | 2 Jun → |
Match data via Leetify.
