yung feldsalat — CS2 Stats
DE76561198201374531[U:1:241108803]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · +0.00 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Limited utility dependence
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 b1t 90% 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
Reaction time. 588ms 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 5.8/10 (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 |
|---|---|---|---|---|---|
 ancient | S | 26 | 18–8 | 69% | 0.04 |
 dust2 | C | 16 | 6–10 | 38% | -0.01 |
 overpass | S | 13 | 9–4 | 69% | 0.02 |
 inferno | A | 11 | 7–4 | 64% | -0.01 |
 nuke | A | 11 | 6–5 | 55% | 0.04 |
 anubis | S | 9 | 6–3 | 67% | 0.03 |
 cache | A | 5 | 3–2 | 60% | 0.02 |
 mirage | D | 5 | 1–4 | 20% | 0.01 |
 train | — | 4 | 1–3 | 25% | -0.04 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 242 | 53% | 1.09 | 16.3 |
| Dust2 | 140 | 41% | 0.97 | 15.2 |
| Inferno | 139 | 63% | 1.18 | 17.1 |
| Anubis | 121 | 48% | 1.05 | 16.4 |
| Nuke | 70 | 47% | 1.02 | 16.1 |
| Overpass | 30 | 63% | 0.95 | 14.5 |
| Train | 23 | 30% | 0.90 | 14.2 |
| Mirage | 13 | 38% | 0.89 | 15.5 |
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
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- 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 0.345 — below the 0.5 mark we flag
- 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 36.3695% — 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.
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 | |
|---|---|---|---|---|---|
| dust2 | 7–13 | -0.03 | 31% | 1 Jun → | |
| inferno | 8–13 | -0.06 | 22% | 30 May → | |
| inferno | 17–19 | 0.03 | 27% | 30 May → | |
| cache | 13–11 | 0.01 | 13% | 24 May → | |
| dust2 | 13–9 | 0.01 | 22% | 23 May → | |
| cache | 8–13 | -0.04 | 25% | 12 May → | |
| anubis | 5–13 | -0.02 | 20% | 12 May → | |
| ancient | 13–5 | 0.05 | 27% | 11 May → | |
| cache | 13–9 | 0.07 | 29% | 9 May → | |
| ancient | 13–9 | 0.02 | 23% | 5 May → | |
| cache | 12–12 | 0.03 | 16% | 29 Apr → | |
| cache | 13–7 | 0.01 | 30% | 29 Apr → | |
| ancient | 13–8 | -0.01 | 21% | 16 Apr → | |
| anubis | 13–7 | -0.03 | 12% | 14 Apr → | |
| mirage | 13–16 | -0.04 | 21% | 12 Apr → | |
| inferno | 13–7 | -0.04 | 24% | 4 Apr → | |
| inferno | 13–3 | 0.04 | 26% | 3 Apr → | |
| nuke | 11–13 | 0.03 | 27% | 29 Mar → | |
| anubis | 13–5 | 0.05 | 16% | 28 Mar → | |
| dust2 | 14–16 | 0.01 | 26% | 27 Mar → | |
| ancient | 9–13 | 0.00 | 18% | 26 Mar → | |
| dust2 | 13–11 | 0.07 | 24% | 26 Mar → | |
| mirage | 3–13 | -0.01 | 42% | 26 Mar → | |
| inferno | 13–10 | 0.05 | 26% | 25 Mar → | |
| dust2 | 14–16 | 0.04 | 23% | 21 Mar → | |
| anubis | 13–6 | 0.05 | 25% | 16 Mar → | |
| inferno | 0–9 | -0.28 | 0% | 16 Mar → | |
| nuke | 5–9 | -0.03 | 14% | 16 Mar → | |
| nuke | 8–13 | 0.17 | 29% | 15 Mar → | |
| ancient | 6–13 | 0.05 | 33% | 15 Mar → | |
| ancient | 13–11 | 0.02 | 18% | 15 Mar → | |
| anubis | 5–13 | 0.07 | 41% | 15 Mar → | |
| ancient | 13–5 | 0.23 | 27% | 14 Mar → | |
| anubis | 16–14 | 0.12 | 29% | 13 Mar → | |
| nuke | 9–1 | 0.16 | 19% | 11 Mar → | |
| inferno | 9–6 | 0.11 | 23% | 11 Mar → | |
| overpass | 13–9 | 0.15 | 26% | 11 Mar → | |
| nuke | 13–7 | 0.10 | 27% | 11 Mar → | |
| ancient | 13–6 | 0.21 | 35% | 9 Mar → | |
| overpass | 9–13 | 0.07 | 25% | 9 Mar → | |
| dust2 | 13–8 | -0.01 | 36% | 9 Mar → | |
| ancient | 13–8 | 0.12 | 38% | 8 Mar → | |
| anubis | 6–13 | 0.04 | 22% | 8 Mar → | |
| anubis | 13–4 | 0.01 | 19% | 30 Jan → | |
| anubis | 13–8 | 0.02 | 20% | 25 Jan → | |
| overpass | 13–8 | -0.01 | 16% | 9 Jan → | |
| dust2 | 13–10 | -0.01 | 25% | 27 Dec → | |
| overpass | 7–13 | -0.05 | 13% | 22 Dec → | |
| nuke | 13–7 | 0.05 | 16% | 22 Dec → | |
| ancient | 13–16 | -0.06 | 13% | 22 Dec → | |
| ancient | 13–6 | 0.03 | 15% | 21 Dec → | |
| train | 4–13 | -0.08 | 12% | 21 Dec → | |
| dust2 | 9–13 | -0.06 | 13% | 19 Dec → | |
| overpass | 16–13 | 0.01 | 16% | 18 Dec → | |
| overpass | 13–9 | -0.04 | 19% | 18 Dec → | |
| inferno | 13–5 | 0.14 | 25% | 16 Dec → | |
| dust2 | 10–13 | 0.00 | 20% | 16 Dec → | |
| ancient | 12–12 | 0.10 | 27% | 16 Dec → | |
| ancient | 19–16 | 0.00 | 21% | 10 Dec → | |
| nuke | 13–6 | 0.00 | 19% | 10 Dec → | |
| ancient | 13–10 | -0.02 | 18% | 10 Dec → | |
| ancient | 16–14 | -0.03 | 15% | 10 Dec → | |
| overpass | 13–3 | -0.01 | 40% | 10 Dec → | |
| ancient | 11–13 | 0.06 | 25% | 9 Dec → | |
| dust2 | 5–13 | -0.04 | 12% | 9 Dec → | |
| dust2 | 4–13 | -0.04 | 26% | 9 Dec → | |
| dust2 | 13–11 | 0.01 | 33% | 9 Dec → | |
| ancient | 13–11 | -0.06 | 13% | 8 Dec → | |
| overpass | 13–9 | -0.01 | 38% | 8 Dec → | |
| mirage | 16–14 | 0.02 | 29% | 6 Dec → | |
| ancient | 16–14 | -0.01 | 24% | 5 Dec → | |
| ancient | 13–10 | 0.04 | 15% | 5 Dec → | |
| ancient | 11–13 | -0.03 | 17% | 5 Dec → | |
| dust2 | 1–13 | -0.14 | 11% | 5 Dec → | |
| inferno | 4–13 | -0.06 | 15% | 3 Dec → | |
| overpass | 13–5 | 0.06 | 21% | 2 Dec → | |
| nuke | 13–11 | -0.03 | 21% | 2 Dec → | |
| mirage | 6–13 | 0.05 | 29% | 1 Dec → | |
| nuke | 0–2 | -0.09 | 0% | 1 Dec → | |
| ancient | 9–13 | 0.06 | 31% | 1 Dec → | |
| ancient | 13–5 | 0.08 | 22% | 29 Nov → | |
| nuke | 13–11 | 0.02 | 17% | 29 Nov → | |
| inferno | 13–8 | 0.00 | 30% | 29 Nov → | |
| overpass | 3–13 | -0.03 | 18% | 29 Nov → | |
| overpass | 13–7 | 0.06 | 18% | 29 Nov → | |
| train | 13–11 | -0.03 | 10% | 29 Nov → | |
| dust2 | 13–16 | -0.01 | 27% | 29 Nov → | |
| train | 7–13 | -0.04 | 31% | 29 Nov → | |
| nuke | 14–16 | 0.02 | 26% | 29 Nov → | |
| inferno | 13–11 | -0.02 | 24% | 27 Nov → | |
| ancient | 13–7 | 0.02 | 27% | 27 Nov → | |
| ancient | 14–16 | 0.01 | 14% | 25 Nov → | |
| dust2 | 10–13 | 0.01 | 30% | 25 Nov → | |
| dust2 | 13–9 | 0.01 | 24% | 24 Nov → | |
| overpass | 12–16 | -0.01 | 19% | 23 Nov → | |
| train | 7–13 | 0.00 | 24% | 23 Nov → | |
| ancient | 13–10 | 0.04 | 22% | 23 Nov → | |
| mirage | 6–13 | 0.01 | 33% | 23 Nov → | |
| overpass | 16–14 | 0.03 | 24% | 23 Nov → | |
| ancient | 13–6 | 0.10 | 37% | 22 Nov → |
Match data via Leetify.
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