whey — CS2 Stats
76561198824198553[U:1:863932825]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -40pp win rate · +0.02 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
Excellent counter-strafingEffective 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 82% playstyle similarity
Most alike: utility contribution, opening-duel success.
Where you differ: lower aim profile; lower opening-fight frequency.
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
Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.
Reaction time. 680ms 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 5.6/10 (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 |
|---|---|---|---|---|---|
 dust2 | A | 21 | 13–8 | 62% | -0.02 |
 mirage | B | 17 | 9–8 | 53% | -0.00 |
 ancient | C | 12 | 5–7 | 42% | -0.02 |
 cache | C | 10 | 4–6 | 40% | -0.01 |
 inferno | B | 10 | 5–5 | 50% | 0.00 |
 anubis | C | 9 | 4–5 | 44% | -0.02 |
 nuke | D | 8 | 2–6 | 25% | -0.02 |
 train | B | 6 | 3–3 | 50% | 0.01 |
 overpass | — | 4 | 4–0 | 100% | 0.06 |
 vertigo | — | 3 | 2–1 | 67% | 0.08 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Nuke 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 resultsWLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 2 | 50% | 1.38 | 13.0 |
| Mirage | 2 | 0% | 0.47 | 7.5 |
| Nuke | 1 | 100% | 0.85 | 17.0 |
| Ancient | 1 | 0% | 0.69 | 9.0 |
| Anubis | 1 | 0% | 0.47 | 7.0 |
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 27.2538% — 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 | |
|---|---|---|---|---|---|
| mirage | 13–8 | -0.01 | 30% | 22 Aug → | |
| cache | 10–13 | -0.05 | 33% | 22 Aug → | |
| ancient | 2–13 | -0.01 | 20% | 11 Aug → | |
| anubis | 4–13 | -0.01 | 27% | 9 Aug → | |
| mirage | 8–13 | -0.05 | 22% | 9 Aug → | |
| nuke | 15–15 | -0.05 | 27% | 9 Aug → | |
| dust2 | 10–13 | -0.07 | 36% | 8 Aug → | |
| anubis | 13–6 | -0.02 | 21% | 1 Aug → | |
| nuke | 13–10 | 0.01 | 11% | 1 Aug → | |
| cache | 8–13 | 0.03 | 18% | 28 Jul → | |
| anubis | 10–13 | -0.07 | 8% | 28 Jul → | |
| ancient | 13–5 | -0.11 | 14% | 25 Jul → | |
| dust2 | 13–9 | -0.00 | 23% | 25 Jul → | |
| anubis | 13–8 | -0.03 | 14% | 24 Jul → | |
| cache | 13–9 | -0.03 | 31% | 24 Jul → | |
| cache | 9–13 | -0.04 | 27% | 11 Jul → | |
| dust2 | 13–11 | -0.05 | 13% | 11 Jul → | |
| dust2 | 13–11 | 0.04 | 32% | 10 Jul → | |
| cache | 8–13 | -0.06 | 28% | 10 Jul → | |
| cache | 13–6 | -0.07 | 17% | 10 Jul → | |
| cache | 11–13 | 0.01 | 16% | 19 Jun → | |
| mirage | 3–13 | -0.02 | 19% | 17 May → | |
| nuke | 9–13 | -0.02 | 26% | 10 May → | |
| cache | 2–13 | 0.01 | 18% | 10 May → | |
| cache | 13–1 | 0.12 | 26% | 30 Apr → | |
| cache | 13–9 | -0.03 | 24% | 30 Apr → | |
| ancient | 2–13 | -0.09 | 10% | 28 Apr → | |
| dust2 | 13–4 | -0.01 | 31% | 28 Apr → | |
| anubis | 6–13 | 0.02 | 27% | 28 Feb → | |
| inferno | 7–13 | -0.02 | 17% | 27 Feb → | |
| dust2 | 13–11 | -0.04 | 20% | 27 Feb → | |
| inferno | 13–10 | 0.00 | 21% | 24 Feb → | |
| mirage | 4–13 | -0.02 | 14% | 14 Feb → | |
| overpass | 13–7 | 0.15 | 17% | 13 Feb → | |
| mirage | 6–13 | -0.04 | 11% | 10 Feb → | |
| dust2 | 13–8 | 0.03 | 26% | 6 Feb → | |
| nuke | 13–16 | -0.09 | 16% | 6 Feb → | |
| ancient | 13–9 | -0.05 | 21% | 6 Feb → | |
| dust2 | 13–10 | -0.01 | 28% | 1 Feb → | |
| dust2 | 9–13 | -0.02 | 20% | 1 Feb → | |
| overpass | 13–10 | 0.05 | 23% | 1 Feb → | |
| mirage | 13–2 | -0.07 | 14% | 1 Feb → | |
| anubis | 8–13 | -0.04 | 5% | 26 Jan → | |
| dust2 | 8–13 | -0.07 | 21% | 26 Jan → | |
| dust2 | 13–4 | 0.03 | 16% | 25 Jan → | |
| inferno | 13–7 | 0.05 | 37% | 25 Jan → | |
| nuke | 13–4 | 0.09 | 23% | 25 Jan → | |
| mirage | 13–8 | 0.02 | 19% | 25 Jan → | |
| dust2 | 10–13 | -0.07 | 13% | 25 Jan → | |
| anubis | 3–13 | -0.05 | 21% | 4 Oct → | |
| mirage | 13–11 | -0.01 | 23% | 4 Oct → | |
| dust2 | 13–4 | 0.06 | 27% | 4 Oct → | |
| overpass | 13–8 | 0.02 | 24% | 4 Oct → | |
| inferno | 4–13 | -0.08 | 14% | 4 Oct → | |
| train | 12–12 | 0.01 | 28% | 3 Oct → | |
| nuke | 3–13 | -0.10 | 11% | 3 Oct → | |
| mirage | 10–13 | 0.02 | 29% | 27 Sept → | |
| dust2 | 13–4 | 0.03 | 15% | 27 Sept → | |
| mirage | 13–7 | 0.03 | 18% | 27 Sept → | |
| ancient | 13–11 | 0.02 | 17% | 27 Sept → | |
| inferno | 13–4 | 0.04 | 33% | 27 Sept → | |
| dust2 | 8–2 | -0.02 | 31% | 27 Sept → | |
| dust2 | 13–7 | 0.02 | 13% | 26 Sept → | |
| ancient | 13–4 | -0.00 | 16% | 26 Sept → | |
| overpass | 13–3 | 0.01 | 13% | 3 Aug → | |
| inferno | 11–13 | 0.00 | 13% | 3 Aug → | |
| inferno | 13–10 | -0.05 | 18% | 3 Aug → | |
| train | 13–2 | -0.01 | 22% | 1 Aug → | |
| ancient | 7–13 | -0.09 | 8% | 1 Aug → | |
| inferno | 13–4 | 0.02 | 25% | 27 Jun → | |
| dust2 | 4–13 | -0.02 | 23% | 25 Jun → | |
| vertigo | 12–12 | 0.09 | 16% | 25 Jun → | |
| ancient | 1–13 | -0.05 | 27% | 21 Jun → | |
| train | 5–13 | -0.05 | 25% | 21 Jun → | |
| inferno | 9–13 | -0.01 | 19% | 21 Jun → | |
| dust2 | 1–13 | -0.15 | 33% | 20 Jun → | |
| mirage | 13–6 | -0.02 | 23% | 20 Jun → | |
| mirage | 13–10 | 0.08 | 17% | 15 Jun → | |
| ancient | 12–12 | 0.02 | 18% | 15 Jun → | |
| ancient | 13–5 | 0.01 | 14% | 15 Jun → | |
| vertigo | 13–8 | 0.15 | 16% | 14 Jun → | |
| anubis | 13–10 | 0.01 | 33% | 14 Jun → | |
| nuke | 12–12 | 0.01 | 29% | 14 Jun → | |
| train | 13–2 | 0.13 | 31% | 14 Jun → | |
| train | 5–13 | 0.00 | 17% | 14 Jun → | |
| dust2 | 9–13 | -0.04 | 30% | 14 Jun → | |
| mirage | 6–13 | 0.00 | 21% | 13 Jun → | |
| inferno | 8–13 | 0.05 | 20% | 13 Jun → | |
| train | 13–4 | -0.01 | 33% | 13 Jun → | |
| dust2 | 13–4 | 0.07 | 13% | 13 Jun → | |
| ancient | 8–13 | 0.01 | 12% | 13 Jun → | |
| mirage | 10–13 | 0.08 | 33% | 13 Jun → | |
| mirage | 13–10 | -0.01 | 14% | 13 Jun → | |
| mirage | 13–3 | -0.04 | 17% | 12 Jun → | |
| mirage | 7–13 | -0.02 | 28% | 12 Jun → | |
| anubis | 7–0 | -0.01 | 0% | 12 Jun → | |
| vertigo | 13–6 | -0.01 | 28% | 12 Jun → | |
| dust2 | 8–13 | -0.05 | 21% | 12 Jun → | |
| ancient | 11–13 | 0.04 | 16% | 10 Jun → | |
| nuke | 5–13 | 0.02 | 45% | 10 Jun → |
Match data via Leetify.
