Avokado macka — CS2 Stats
SE76561198361454951[U:1:401189223]Steam profile ↗✓ No bans
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 NiKo 50% playstyle similarity
Most alike: opening-duel success, positioning profile.
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 20% on CT to 1% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 762ms 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 2.2/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×1.00 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 |
|---|---|---|---|---|---|
 vertigo | D | 29 | 10–19 | 34% | -0.05 |
 mirage | D | 21 | 6–15 | 29% | -0.04 |
 ancient | C | 9 | 4–5 | 44% | -0.05 |
 nuke | C | 8 | 3–5 | 38% | -0.05 |
 overpass | D | 6 | 2–4 | 33% | -0.05 |
 dust2 | D | 6 | 2–4 | 33% | -0.04 |
 train | A | 5 | 3–2 | 60% | -0.03 |
 anubis | D | 5 | 1–4 | 20% | -0.07 |
| office | D | 5 | 1–4 | 20% | -0.02 |
 cache | — | 3 | 1–2 | 33% | -0.00 |
| italy | — | 1 | 1–0 | 100% | -0.01 |
 inferno | — | 1 | 0–1 | 0% | -0.10 |
| warden | — | 1 | 0–1 | 0% | -0.04 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (20% over 5). 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.
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.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 8.4023% — below the 15% mark we flag
- Best CS2 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 761.8392ms — above the 700ms mark we flag
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.1608 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| cache | 13–8 | -0.07 | 4% | 29 Aug → | |
| mirage | 13–8 | -0.05 | 10% | 26 Aug → | |
| mirage | 9–13 | -0.09 | 8% | 20 Aug → | |
| train | 6–13 | -0.10 | 6% | 20 Aug → | |
| overpass | 3–13 | -0.07 | 11% | 20 Aug → | |
| cache | 8–13 | 0.04 | 3% | 20 Aug → | |
| vertigo | 7–9 | 0.01 | 3% | 19 Aug → | |
| vertigo | 3–9 | 0.03 | 7% | 19 Aug → | |
| mirage | 10–13 | -0.04 | 13% | 10 Aug → | |
| anubis | 5–13 | -0.02 | 11% | 10 Aug → | |
| mirage | 1–13 | -0.02 | 8% | 10 Aug → | |
| mirage | 7–13 | 0.03 | 12% | 10 Aug → | |
| ancient | 9–13 | -0.09 | 5% | 9 Aug → | |
| anubis | 2–12 | -0.09 | 4% | 9 Aug → | |
| mirage | 11–13 | -0.05 | 17% | 9 Aug → | |
| mirage | 13–8 | -0.08 | 9% | 6 Aug → | |
| vertigo | 12–12 | -0.02 | 7% | 3 Aug → | |
| mirage | 5–13 | -0.04 | 13% | 3 Aug → | |
| vertigo | 12–12 | -0.07 | 9% | 3 Aug → | |
| vertigo | 12–12 | -0.07 | 5% | 3 Aug → | |
| ancient | 0–13 | -0.11 | 7% | 3 Aug → | |
| ancient | 4–13 | -0.08 | 0% | 1 Aug → | |
| mirage | 13–3 | -0.09 | 14% | 23 Jul → | |
| ancient | 13–11 | -0.02 | 9% | 23 Jul → | |
| nuke | 8–13 | -0.11 | 0% | 22 Jul → | |
| ancient | 13–11 | -0.10 | 5% | 22 Jul → | |
| cache | 3–13 | 0.03 | 20% | 22 Jul → | |
| mirage | 10–13 | -0.11 | 16% | 22 Jul → | |
| ancient | 8–13 | -0.08 | 6% | 22 Jul → | |
| mirage | 16–12 | -0.04 | 17% | 22 Jul → | |
| anubis | 4–13 | -0.06 | 3% | 22 Jul → | |
| nuke | 13–9 | -0.12 | 6% | 22 Jul → | |
| ancient | 13–11 | -0.06 | 7% | 21 Jul → | |
| dust2 | 6–13 | -0.08 | 15% | 20 Jul → | |
| nuke | 13–8 | -0.07 | 13% | 20 Jul → | |
| mirage | 5–13 | -0.07 | 14% | 20 Jul → | |
| vertigo | 1–9 | -0.23 | 25% | 21 May → | |
| vertigo | 3–9 | -0.14 | 6% | 3 May → | |
| vertigo | 9–2 | 0.01 | 11% | 14 Apr → | |
| vertigo | 11–7 | -0.08 | 13% | 14 Apr → | |
| mirage | 0–13 | -0.05 | 20% | 12 Apr → | |
| vertigo | 10–13 | -0.06 | 7% | 12 Apr → | |
| vertigo | 7–9 | -0.12 | 8% | 11 Apr → | |
| mirage | 3–13 | -0.13 | 0% | 4 Apr → | |
| dust2 | 11–13 | -0.11 | 7% | 4 Apr → | |
| anubis | 10–7 | -0.15 | 0% | 2 Apr → | |
| anubis | 12–12 | -0.06 | 16% | 1 Apr → | |
| vertigo | 1–13 | -0.03 | 5% | 1 Apr → | |
| overpass | 10–13 | -0.04 | 10% | 1 Apr → | |
| vertigo | 9–3 | -0.09 | 0% | 31 Mar → | |
| train | 13–4 | 0.08 | 8% | 30 Mar → | |
| vertigo | 13–11 | -0.07 | 4% | 30 Mar → | |
| vertigo | 1–6 | -0.13 | 50% | 28 Mar → | |
| office | 12–12 | -0.06 | 14% | 28 Mar → | |
| vertigo | 4–13 | -0.09 | 10% | 27 Mar → | |
| vertigo | 12–12 | -0.07 | 10% | 27 Mar → | |
| mirage | 12–12 | 0.02 | 4% | 27 Mar → | |
| vertigo | 12–12 | -0.05 | 6% | 27 Mar → | |
| overpass | 3–9 | -0.07 | 7% | 27 Mar → | |
| nuke | 9–7 | 0.09 | 12% | 27 Mar → | |
| office | 4–13 | -0.08 | 8% | 25 Mar → | |
| dust2 | 13–6 | 0.01 | 14% | 25 Mar → | |
| vertigo | 6–9 | -0.15 | 5% | 22 Mar → | |
| vertigo | 13–10 | -0.02 | 0% | 21 Mar → | |
| vertigo | 9–3 | 0.21 | 23% | 21 Mar → | |
| vertigo | 13–10 | -0.05 | 6% | 20 Mar → | |
| italy | 13–6 | -0.01 | 0% | 20 Mar → | |
| ancient | 13–3 | 0.14 | 6% | 20 Mar → | |
| nuke | 8–13 | -0.04 | 9% | 20 Mar → | |
| train | 5–13 | -0.09 | 5% | 20 Mar → | |
| overpass | 13–11 | -0.01 | 8% | 20 Mar → | |
| nuke | 4–13 | -0.01 | 5% | 20 Mar → | |
| office | 13–3 | -0.01 | 5% | 20 Mar → | |
| office | 8–13 | 0.07 | 4% | 20 Mar → | |
| office | 4–13 | -0.02 | 5% | 20 Mar → | |
| mirage | 13–8 | 0.05 | 6% | 17 Mar → | |
| inferno | 3–13 | -0.10 | 4% | 17 Mar → | |
| vertigo | 8–8 | -0.09 | 13% | 16 Mar → | |
| dust2 | 13–10 | -0.03 | 8% | 16 Mar → | |
| mirage | 12–12 | -0.06 | 4% | 15 Mar → | |
| nuke | 6–13 | -0.12 | 0% | 15 Mar → | |
| dust2 | 6–13 | -0.03 | 5% | 15 Mar → | |
| vertigo | 13–8 | -0.04 | 10% | 14 Mar → | |
| dust2 | 6–13 | 0.00 | 7% | 14 Mar → | |
| vertigo | 8–8 | 0.03 | 5% | 14 Mar → | |
| vertigo | 13–10 | -0.04 | 10% | 13 Mar → | |
| vertigo | 10–13 | 0.00 | 2% | 13 Mar → | |
| vertigo | 13–10 | -0.01 | 7% | 12 Mar → | |
| mirage | 6–13 | -0.07 | 8% | 11 Mar → | |
| overpass | 13–5 | -0.07 | 2% | 6 Mar → | |
| ancient | 11–13 | -0.02 | 7% | 4 Mar → | |
| mirage | 9–13 | -0.03 | 5% | 2 Mar → | |
| train | 7–2 | -0.07 | 10% | 1 Mar → | |
| train | 13–1 | 0.05 | 9% | 1 Mar → | |
| nuke | 12–12 | -0.04 | 2% | 28 Feb → | |
| overpass | 4–13 | -0.04 | 3% | 28 Feb → | |
| mirage | 13–3 | 0.05 | 10% | 27 Feb → | |
| mirage | 12–12 | 0.02 | 8% | 27 Feb → | |
| vertigo | 9–13 | 0.04 | 6% | 27 Feb → | |
| warden | 6–13 | -0.04 | 9% | 26 Feb → |
Match data via Leetify.