lazy as hell i uber eated 2 cups — CS2 Stats
US76561199129286889[U:1:1169021161]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.03 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimer
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 donk 91% playstyle similarity
Most alike: positioning profile, 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
Aim. Aim score of 88 — the mechanical foundation is a clear strength.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 576ms 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 6.6/10 (Solid), 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 |
|---|---|---|---|---|---|
| office | S | 37 | 24–13 | 65% | 0.07 |
 dust2 | D | 14 | 2–12 | 14% | 0.02 |
 cache | D | 13 | 3–10 | 23% | 0.08 |
 inferno | D | 8 | 2–6 | 25% | 0.07 |
 mirage | B | 8 | 4–4 | 50% | 0.04 |
 ancient | — | 4 | 2–2 | 50% | 0.03 |
 vertigo | — | 4 | 2–2 | 50% | 0.05 |
 anubis | — | 3 | 0–3 | 0% | 0.00 |
 nuke | — | 3 | 1–2 | 33% | 0.08 |
 train | — | 2 | 1–1 | 50% | 0.02 |
 overpass | — | 1 | 1–0 | 100% | 0.16 |
| shelter | — | 1 | 1–0 | 100% | 0.18 |
| poseidon | — | 1 | 0–1 | 0% | -0.06 |
| alpine | — | 1 | 0–1 | 0% | 0.17 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (14% over 14). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 25 | 48% | 1.45 | 20.1 |
| Anubis | 11 | 64% | 1.57 | 21.3 |
| Inferno | 11 | 64% | 1.63 | 25.2 |
| Dust2 | 10 | 50% | 1.29 | 21.0 |
| Nuke | 7 | 71% | 1.68 | 21.4 |
| Ancient | 6 | 83% | 1.98 | 20.5 |
| Train | 2 | 100% | 2.54 | 16.0 |
| Vertigo | 2 | 0% | 1.56 | 23.5 |
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.
14% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| anubis | 1–13 | 0.06 | 10% | 12 Aug → | |
| inferno | 7–13 | 0.06 | 9% | 12 Aug → | |
| mirage | 12–12 | 0.03 | 17% | 12 Aug → | |
| ancient | 0–13 | -0.08 | 22% | 12 Aug → | |
| dust2 | 6–13 | 0.04 | 21% | 12 Aug → | |
| office | 3–13 | -0.01 | 24% | 29 Jul → | |
| dust2 | 7–13 | 0.03 | 23% | 29 Jul → | |
| overpass | 13–8 | 0.16 | 26% | 29 Jul → | |
| vertigo | 8–13 | 0.10 | 16% | 22 Jul → | |
| mirage | 0–13 | -0.07 | 14% | 22 Jul → | |
| shelter | 13–7 | 0.18 | 24% | 22 Jul → | |
| cache | 3–13 | -0.00 | 16% | 14 Jun → | |
| nuke | 0–13 | 0.00 | 27% | 14 Jun → | |
| ancient | 3–13 | 0.13 | 24% | 14 Jun → | |
| nuke | 6–9 | 0.06 | 29% | 7 Jun → | |
| office | 10–13 | 0.05 | 20% | 29 May → | |
| office | 13–10 | 0.16 | 18% | 29 May → | |
| office | 13–8 | 0.04 | 17% | 29 May → | |
| dust2 | 11–13 | 0.03 | 22% | 29 May → | |
| dust2 | 2–13 | -0.03 | 19% | 26 May → | |
| inferno | 10–13 | 0.11 | 27% | 24 May → | |
| vertigo | 13–7 | 0.02 | 19% | 24 May → | |
| cache | 1–13 | 0.06 | 31% | 24 May → | |
| office | 11–13 | 0.10 | 15% | 22 May → | |
| office | 13–5 | 0.03 | 29% | 22 May → | |
| office | 13–6 | 0.14 | 23% | 22 May → | |
| office | 13–4 | 0.20 | 15% | 22 May → | |
| cache | 13–6 | 0.13 | 13% | 22 May → | |
| office | 12–12 | 0.09 | 31% | 21 May → | |
| inferno | 9–4 | 0.22 | 22% | 19 May → | |
| train | 10–13 | 0.04 | 13% | 19 May → | |
| cache | 13–6 | 0.10 | 17% | 19 May → | |
| office | 11–13 | 0.06 | 18% | 18 May → | |
| office | 6–13 | 0.01 | 24% | 18 May → | |
| office | 13–6 | -0.01 | 16% | 18 May → | |
| office | 3–0 | 0.32 | 38% | 18 May → | |
| office | 13–5 | 0.05 | 14% | 18 May → | |
| office | 11–13 | 0.10 | 20% | 18 May → | |
| cache | 13–5 | 0.19 | 20% | 16 May → | |
| vertigo | 13–4 | 0.00 | 13% | 16 May → | |
| office | 13–7 | 0.02 | 27% | 16 May → | |
| inferno | 9–13 | 0.10 | 13% | 16 May → | |
| dust2 | 9–13 | 0.06 | 21% | 16 May → | |
| office | 12–12 | -0.04 | 16% | 16 May → | |
| office | 13–5 | 0.01 | 9% | 15 May → | |
| office | 13–7 | 0.09 | 18% | 15 May → | |
| office | 13–9 | 0.05 | 18% | 15 May → | |
| office | 13–3 | 0.06 | 23% | 15 May → | |
| office | 13–2 | 0.01 | 12% | 15 May → | |
| dust2 | 7–13 | -0.01 | 27% | 15 May → | |
| anubis | 5–13 | -0.01 | 20% | 15 May → | |
| office | 13–9 | 0.06 | 19% | 15 May → | |
| office | 13–10 | 0.08 | 33% | 15 May → | |
| office | 13–9 | 0.02 | 19% | 15 May → | |
| office | 13–8 | 0.15 | 26% | 15 May → | |
| office | 13–4 | 0.11 | 34% | 15 May → | |
| nuke | 9–5 | 0.18 | 16% | 14 May → | |
| poseidon | 6–9 | -0.06 | 18% | 14 May → | |
| inferno | 5–9 | 0.01 | 14% | 14 May → | |
| inferno | 6–9 | -0.10 | 13% | 14 May → | |
| cache | 12–12 | 0.22 | 23% | 14 May → | |
| mirage | 13–9 | 0.00 | 17% | 13 May → | |
| cache | 11–13 | 0.15 | 20% | 13 May → | |
| dust2 | 11–13 | -0.01 | 16% | 13 May → | |
| dust2 | 5–13 | 0.07 | 22% | 13 May → | |
| dust2 | 10–13 | 0.05 | 18% | 13 May → | |
| cache | 11–13 | 0.08 | 15% | 12 May → | |
| mirage | 7–13 | 0.12 | 26% | 12 May → | |
| anubis | 3–13 | -0.04 | 14% | 12 May → | |
| mirage | 13–4 | 0.08 | 20% | 12 May → | |
| ancient | 13–10 | 0.04 | 21% | 12 May → | |
| inferno | 1–13 | 0.10 | 26% | 11 May → | |
| dust2 | 2–13 | -0.07 | 24% | 11 May → | |
| inferno | 13–7 | 0.03 | 20% | 11 May → | |
| dust2 | 13–11 | 0.07 | 17% | 11 May → | |
| vertigo | 7–13 | 0.09 | 8% | 11 May → | |
| mirage | 13–11 | 0.08 | 21% | 11 May → | |
| cache | 12–12 | 0.09 | 15% | 11 May → | |
| dust2 | 10–13 | -0.01 | 16% | 10 May → | |
| cache | 12–12 | 0.10 | 18% | 10 May → | |
| mirage | 13–10 | 0.11 | 32% | 10 May → | |
| dust2 | 1–13 | -0.02 | 22% | 9 May → | |
| office | 4–13 | -0.02 | 22% | 9 May → | |
| cache | 12–12 | 0.01 | 25% | 9 May → | |
| cache | 4–13 | -0.08 | 18% | 8 May → | |
| train | 13–6 | -0.01 | 46% | 8 May → | |
| ancient | 13–4 | 0.03 | 21% | 8 May → | |
| mirage | 11–13 | -0.01 | 17% | 7 May → | |
| dust2 | 13–10 | 0.07 | 16% | 7 May → | |
| alpine | 12–12 | 0.17 | 16% | 7 May → | |
| office | 8–13 | -0.04 | 21% | 7 May → | |
| office | 13–3 | 0.14 | 23% | 7 May → | |
| office | 13–11 | 0.08 | 25% | 7 May → | |
| office | 13–6 | 0.02 | 20% | 7 May → | |
| cache | 8–13 | -0.00 | 19% | 7 May → | |
| office | 10–13 | 0.09 | 25% | 7 May → | |
| office | 9–13 | -0.02 | 19% | 6 May → | |
| office | 13–2 | 0.04 | 37% | 6 May → | |
| office | 4–13 | 0.12 | 23% | 3 May → | |
| office | 13–9 | 0.10 | 20% | 3 May → |
Match data via Leetify.
