ACIDBUNNYZ — CS2 Stats
76561199072014722[U:1:1111748994]
How this compares with the same rank
Median values for Level 2 among CSDB-tracked players (n=338), 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 2 median | Level 3 median | vs Level 3 |
|---|---|---|---|---|
| Headshot rate | 38.9% | 42.1% | 42.1% | 3.2% short |
| Shot accuracy | 0.0% | 12.9% | 12.1% | 12.1% short |
| Kill/death ratio | 0.93 | 1.00 | 0.99 | 0.06 short |
| Match win rate | 47.5% | 42.9% | 43.9% | above |
This profile matches the typical Level 3 player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 3 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 · +0.02 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side opener
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 89% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower aim profile; lower utility contribution.
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.
T-side openings. Opening success drops from 46% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 565ms 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 6.0/10 (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 |
|---|---|---|---|---|---|
 cache | B | 24 | 13–11 | 54% | -0.01 |
 mirage | C | 19 | 8–11 | 42% | -0.03 |
 dust2 | B | 16 | 8–8 | 50% | -0.01 |
 inferno | D | 11 | 3–8 | 27% | -0.01 |
 nuke | A | 11 | 6–5 | 55% | -0.02 |
 ancient | A | 9 | 5–4 | 56% | 0.02 |
 anubis | — | 3 | 2–1 | 67% | 0.02 |
 train | — | 3 | 3–0 | 100% | 0.01 |
 overpass | — | 3 | 2–1 | 67% | 0.05 |
| office | — | 1 | 1–0 | 100% | -0.03 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (27% over 11). 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 52 | 48% | 0.66 | 10.3 |
| Dust2 | 38 | 37% | 0.66 | 10.8 |
| Inferno | 23 | 43% | 0.71 | 11.3 |
| Ancient | 14 | 29% | 0.69 | 11.5 |
| Nuke | 13 | 54% | 0.83 | 13.6 |
| Anubis | 11 | 73% | 0.81 | 11.9 |
| Overpass | 8 | 25% | 0.68 | 13.3 |
| Cache | 6 | 67% | 0.91 | 13.8 |
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 28.111% — 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.
27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| ancient | 13–9 | 0.01 | 11% | 24 Aug → | |
| inferno | 16–14 | -0.03 | 30% | 23 Aug → | |
| ancient | 1–13 | -0.00 | 11% | 19 Aug → | |
| dust2 | 8–13 | -0.04 | 9% | 19 Aug → | |
| dust2 | 13–8 | -0.04 | 27% | 17 Aug → | |
| dust2 | 13–4 | -0.04 | 10% | 15 Aug → | |
| cache | 14–16 | -0.02 | 21% | 13 Aug → | |
| cache | 8–13 | 0.00 | 13% | 11 Aug → | |
| dust2 | 13–8 | 0.10 | 23% | 9 Aug → | |
| mirage | 10–13 | -0.05 | 10% | 9 Aug → | |
| inferno | 7–13 | 0.02 | 20% | 9 Aug → | |
| cache | 3–13 | -0.10 | 19% | 8 Aug → | |
| inferno | 16–14 | -0.04 | 29% | 6 Aug → | |
| mirage | 10–13 | -0.06 | 25% | 6 Aug → | |
| cache | 13–6 | -0.07 | 8% | 6 Aug → | |
| cache | 13–9 | -0.03 | 14% | 5 Aug → | |
| mirage | 13–11 | -0.02 | 16% | 3 Aug → | |
| dust2 | 10–13 | -0.06 | 24% | 3 Aug → | |
| anubis | 13–8 | 0.03 | 25% | 1 Aug → | |
| mirage | 13–9 | 0.03 | 20% | 1 Aug → | |
| cache | 13–9 | 0.11 | 22% | 1 Aug → | |
| nuke | 13–6 | 0.08 | 23% | 1 Aug → | |
| cache | 13–10 | -0.01 | 19% | 1 Aug → | |
| cache | 13–7 | 0.01 | 15% | 1 Aug → | |
| inferno | 10–13 | 0.04 | 17% | 28 Jul → | |
| mirage | 16–12 | 0.03 | 11% | 28 Jul → | |
| nuke | 13–6 | 0.06 | 27% | 28 Jul → | |
| anubis | 9–13 | 0.06 | 19% | 26 Jul → | |
| cache | 13–7 | -0.03 | 21% | 26 Jul → | |
| cache | 13–4 | 0.06 | 22% | 26 Jul → | |
| cache | 13–10 | 0.02 | 41% | 22 Jul → | |
| dust2 | 4–13 | 0.00 | 20% | 19 Jul → | |
| mirage | 15–15 | 0.02 | 33% | 18 Jul → | |
| inferno | 13–11 | 0.03 | 27% | 17 Jul → | |
| ancient | 13–5 | 0.03 | 31% | 17 Jul → | |
| train | 7–11 | -0.06 | 23% | 17 Jul → | |
| cache | 13–11 | 0.04 | 20% | 17 Jul → | |
| inferno | 5–13 | -0.00 | 12% | 17 Jul → | |
| ancient | 9–13 | 0.00 | 21% | 16 Jul → | |
| mirage | 13–16 | -0.08 | 15% | 15 Jul → | |
| ancient | 13–11 | 0.05 | 23% | 14 Jul → | |
| mirage | 7–13 | -0.02 | 18% | 1 Jul → | |
| ancient | 13–7 | 0.08 | 24% | 1 Jul → | |
| mirage | 10–13 | 0.01 | 32% | 30 Jun → | |
| inferno | 5–13 | -0.02 | 13% | 30 Jun → | |
| ancient | 13–11 | 0.09 | 20% | 29 Jun → | |
| train | 13–4 | 0.05 | 33% | 28 Jun → | |
| dust2 | 10–13 | 0.00 | 22% | 28 Jun → | |
| dust2 | 12–12 | 0.01 | 14% | 26 Jun → | |
| overpass | 13–9 | 0.08 | 30% | 26 Jun → | |
| dust2 | 13–8 | 0.07 | 38% | 26 Jun → | |
| mirage | 10–13 | 0.01 | 25% | 25 Jun → | |
| dust2 | 7–13 | 0.02 | 20% | 24 Jun → | |
| inferno | 6–13 | -0.06 | 12% | 24 Jun → | |
| cache | 13–5 | 0.10 | 16% | 24 Jun → | |
| overpass | 13–9 | 0.04 | 11% | 24 Jun → | |
| ancient | 5–13 | -0.05 | 20% | 24 Jun → | |
| nuke | 13–11 | -0.01 | 28% | 22 Jun → | |
| mirage | 13–11 | -0.07 | 17% | 22 Jun → | |
| train | 13–8 | 0.04 | 24% | 22 Jun → | |
| dust2 | 13–4 | 0.04 | 22% | 22 Jun → | |
| inferno | 5–13 | 0.06 | 44% | 22 Jun → | |
| cache | 10–13 | 0.07 | 27% | 22 Jun → | |
| mirage | 16–14 | -0.05 | 8% | 21 Jun → | |
| mirage | 5–13 | -0.03 | 6% | 20 Jun → | |
| inferno | 8–13 | -0.02 | 25% | 4 Jun → | |
| anubis | 13–9 | -0.03 | 15% | 30 May → | |
| overpass | 3–13 | 0.01 | 12% | 30 May → | |
| nuke | 2–13 | -0.11 | 17% | 30 May → | |
| mirage | 4–13 | -0.08 | 13% | 30 May → | |
| nuke | 13–5 | -0.01 | 12% | 30 May → | |
| ancient | 11–13 | -0.04 | 15% | 27 May → | |
| nuke | 3–13 | -0.06 | 5% | 27 May → | |
| mirage | 8–13 | -0.01 | 10% | 25 May → | |
| dust2 | 16–13 | -0.00 | 21% | 25 May → | |
| dust2 | 16–13 | -0.07 | 10% | 20 May → | |
| nuke | 13–7 | -0.02 | 28% | 20 May → | |
| cache | 6–13 | -0.08 | 6% | 18 May → | |
| nuke | 2–13 | -0.08 | 10% | 18 May → | |
| dust2 | 13–8 | -0.02 | 11% | 18 May → | |
| nuke | 3–13 | 0.02 | 17% | 17 May → | |
| office | 13–3 | -0.03 | 21% | 15 May → | |
| mirage | 6–13 | -0.08 | 17% | 13 May → | |
| cache | 5–13 | -0.02 | 17% | 12 May → | |
| cache | 13–7 | 0.02 | 40% | 11 May → | |
| mirage | 13–4 | 0.01 | 10% | 11 May → | |
| cache | 6–13 | -0.03 | 29% | 11 May → | |
| cache | 9–13 | -0.03 | 13% | 11 May → | |
| dust2 | 4–13 | -0.10 | 20% | 10 May → | |
| cache | 4–13 | -0.04 | 13% | 9 May → | |
| inferno | 4–13 | -0.09 | 30% | 8 May → | |
| cache | 2–13 | -0.11 | 3% | 7 May → | |
| nuke | 13–5 | 0.00 | 11% | 7 May → | |
| mirage | 13–3 | -0.02 | 0% | 7 May → | |
| cache | 11–13 | -0.04 | 18% | 7 May → | |
| nuke | 11–13 | -0.04 | 30% | 6 May → | |
| mirage | 7–8 | -0.05 | 12% | 5 May → | |
| dust2 | 2–6 | -0.00 | 55% | 3 May → | |
| cache | 13–7 | -0.00 | 14% | 3 May → | |
| cache | 13–11 | 0.05 | 19% | 3 May → |
Match data via Leetify.
