Badass Gorilla — CS2 Stats
76561198844923946[U:1:884658218]
How this compares with the same rank
Median values for Light Blue band among CSDB-tracked players (n=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 | Light Blue band median | Blue band median | vs Blue band |
|---|---|---|---|---|
| Headshot rate | 47.6% | 39.7% | 41.4% | above |
| Shot accuracy | 0.0% | 6.7% | 9.0% | 9.0% short |
| Kill/death ratio | 0.92 | 0.91 | 0.97 | 0.05 short |
| Match win rate | 40.2% | 42.1% | 43.7% | 3.5% short |
This profile matches the typical Blue band player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Blue 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: +10pp win rate · -0.01 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 Twistzz 87% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower utility contribution; 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
T-side openings. Opening success drops from 46% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.
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 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.
Trends
Rolling 5-match average across the last 93 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 | A | 20 | 11–9 | 55% | -0.01 |
 mirage | C | 16 | 7–9 | 44% | -0.01 |
 nuke | C | 16 | 7–9 | 44% | -0.01 |
 cache | C | 9 | 4–5 | 44% | 0.00 |
 inferno | D | 8 | 2–6 | 25% | 0.00 |
 anubis | D | 7 | 2–5 | 29% | -0.01 |
| office | A | 7 | 4–3 | 57% | -0.06 |
 vertigo | C | 5 | 2–3 | 40% | 0.03 |
 ancient | — | 3 | 0–3 | 0% | -0.04 |
 overpass | — | 1 | 0–1 | 0% | -0.07 |
| palacio | — | 1 | 1–0 | 100% | -0.06 |
Across the last 93 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (25% over 8). 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.
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 30.453% — 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.
25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| vertigo | 13–11 | 0.09 | 18% | 1 Aug → | |
| mirage | 5–13 | 0.01 | 11% | 22 Jul → | |
| dust2 | 13–7 | 0.00 | 15% | 22 Jul → | |
| mirage | 11–13 | -0.05 | 10% | 20 Jul → | |
| mirage | 13–4 | 0.01 | 14% | 20 Jul → | |
| dust2 | 13–8 | -0.02 | 16% | 20 Jul → | |
| nuke | 13–4 | 0.04 | 15% | 18 Jul → | |
| inferno | 13–5 | 0.07 | 43% | 17 Jul → | |
| nuke | 13–4 | 0.08 | 19% | 17 Jul → | |
| nuke | 7–13 | -0.06 | 6% | 17 Jul → | |
| anubis | 11–13 | 0.02 | 21% | 16 Jul → | |
| cache | 13–7 | 0.01 | 23% | 16 Jul → | |
| cache | 13–3 | 0.11 | 12% | 16 Jul → | |
| mirage | 13–3 | -0.00 | 12% | 16 Jul → | |
| dust2 | 13–3 | 0.01 | 25% | 15 Jul → | |
| cache | 13–5 | 0.07 | 15% | 15 Jul → | |
| dust2 | 8–13 | -0.04 | 20% | 15 Jul → | |
| dust2 | 13–1 | -0.01 | 6% | 15 Jul → | |
| dust2 | 9–13 | -0.00 | 14% | 14 Jul → | |
| cache | 5–11 | 0.09 | 26% | 14 Jul → | |
| cache | 4–13 | -0.00 | 17% | 14 Jul → | |
| dust2 | 7–13 | 0.02 | 16% | 12 Jul → | |
| anubis | 12–12 | -0.06 | 6% | 12 Jul → | |
| nuke | 11–13 | -0.03 | 7% | 12 Jul → | |
| ancient | 8–13 | 0.07 | 22% | 12 Jul → | |
| dust2 | 13–9 | 0.02 | 13% | 11 Jul → | |
| office | 13–8 | -0.04 | 15% | 10 Jul → | |
| anubis | 13–4 | 0.06 | 21% | 10 Jul → | |
| dust2 | 0–13 | -0.07 | 12% | 10 Jul → | |
| dust2 | 3–13 | -0.07 | 10% | 2 Jul → | |
| nuke | 2–13 | 0.02 | 17% | 2 Jul → | |
| cache | 4–13 | -0.09 | 14% | 1 Jul → | |
| nuke | 13–8 | -0.02 | 10% | 1 Jul → | |
| dust2 | 8–13 | -0.05 | 14% | 30 Jun → | |
| mirage | 9–13 | 0.00 | 8% | 28 Jun → | |
| vertigo | 8–13 | 0.06 | 9% | 28 Jun → | |
| dust2 | 13–2 | 0.17 | 10% | 28 Jun → | |
| mirage | 13–11 | 0.00 | 16% | 27 Jun → | |
| mirage | 5–13 | 0.00 | 11% | 27 Jun → | |
| mirage | 13–7 | -0.04 | 19% | 24 Jun → | |
| dust2 | 13–7 | -0.01 | 16% | 13 Jun → | |
| nuke | 13–11 | -0.07 | 11% | 10 Jun → | |
| inferno | 7–13 | -0.07 | 12% | 9 Jun → | |
| dust2 | 13–5 | 0.06 | 17% | 8 Jun → | |
| vertigo | 13–4 | 0.05 | 20% | 8 Jun → | |
| vertigo | 10–13 | -0.02 | 18% | 8 Jun → | |
| nuke | 13–11 | -0.07 | 19% | 7 Jun → | |
| anubis | 9–13 | -0.03 | 18% | 31 May → | |
| mirage | 1–13 | -0.02 | 29% | 30 May → | |
| nuke | 5–13 | 0.02 | 17% | 30 May → | |
| nuke | 1–13 | -0.08 | 4% | 26 May → | |
| inferno | 13–2 | 0.08 | 18% | 25 May → | |
| mirage | 5–13 | -0.02 | 14% | 25 May → | |
| nuke | 3–10 | -0.08 | 8% | 24 May → | |
| cache | 9–13 | -0.05 | 15% | 24 May → | |
| dust2 | 7–13 | -0.11 | 15% | 23 May → | |
| mirage | 10–13 | -0.00 | 10% | 21 May → | |
| dust2 | 13–4 | 0.03 | 8% | 21 May → | |
| nuke | 8–13 | -0.03 | 16% | 21 May → | |
| inferno | 5–13 | -0.03 | 5% | 21 May → | |
| dust2 | 16–12 | -0.02 | 9% | 20 May → | |
| ancient | 5–13 | -0.08 | 17% | 19 May → | |
| anubis | 13–16 | -0.02 | 19% | 18 May → | |
| inferno | 3–13 | -0.02 | 15% | 17 May → | |
| mirage | 13–5 | 0.16 | 22% | 16 May → | |
| nuke | 10–13 | 0.04 | 19% | 16 May → | |
| office | 13–6 | 0.00 | 20% | 13 May → | |
| inferno | 9–13 | -0.03 | 13% | 10 May → | |
| mirage | 6–13 | -0.06 | 33% | 10 May → | |
| ancient | 1–13 | -0.11 | 17% | 10 May → | |
| inferno | 5–13 | 0.04 | 32% | 10 May → | |
| mirage | 13–9 | -0.05 | 11% | 5 May → | |
| overpass | 10–13 | -0.07 | 14% | 3 May → | |
| cache | 5–13 | -0.07 | 29% | 3 May → | |
| cache | 13–6 | -0.00 | 32% | 2 May → | |
| nuke | 13–11 | 0.11 | 20% | 25 Apr → | |
| nuke | 13–10 | -0.01 | 15% | 24 Apr → | |
| dust2 | 3–13 | -0.10 | 9% | 19 Apr → | |
| nuke | 1–13 | -0.08 | 0% | 19 Apr → | |
| vertigo | 0–8 | -0.02 | 30% | 19 Apr → | |
| anubis | 9–13 | 0.02 | 16% | 11 Apr → | |
| dust2 | 3–13 | -0.09 | 10% | 11 Apr → | |
| office | 2–13 | -0.11 | 14% | 1 Apr → | |
| inferno | 5–13 | -0.01 | 19% | 28 Mar → | |
| dust2 | 13–9 | 0.06 | 28% | 28 Mar → | |
| office | 13–1 | -0.07 | 35% | 28 Mar → | |
| office | 13–11 | -0.05 | 23% | 28 Mar → | |
| office | 11–13 | -0.06 | 14% | 25 Mar → | |
| office | 12–12 | -0.07 | 13% | 18 Mar → | |
| mirage | 9–13 | -0.03 | 6% | 8 Mar → | |
| anubis | 13–7 | -0.03 | 20% | 30 Nov → | |
| mirage | 13–7 | 0.01 | 27% | 30 Nov → | |
| palacio | 13–7 | -0.06 | 31% | 30 Nov → |
Match data via Leetify.