relapse404 — CS2 Stats
76561198123669866[U:1:163404138]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.01 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 b1t 94% playstyle similarity
Most alike: aim profile, positioning profile.
Where you differ: 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
Strengths
Aim. Aim score of 94 — 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.
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 6.5/10 (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 |
|---|---|---|---|---|---|
| C | 28 | 11–17 | 39% | 0.01 | |
| D | 25 | 8–17 | 32% | 0.01 | |
| C | 20 | 8–12 | 40% | 0.03 | |
| C | 17 | 6–11 | 35% | 0.02 | |
| D | 6 | 2–4 | 33% | 0.03 | |
| — | 4 | 0–4 | 0% | 0.03 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (32% over 25). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 519 | 48% | 1.30 | 18.6 |
| Anubis | 353 | 58% | 1.35 | 18.4 |
| Ancient | 290 | 52% | 1.23 | 18.9 |
| Dust2 | 262 | 49% | 1.19 | 18.1 |
| Inferno | 95 | 54% | 1.23 | 17.1 |
| Vertigo | 72 | 60% | 1.27 | 19.8 |
| Overpass | 33 | 52% | 1.28 | 17.7 |
| Cache | 27 | 48% | 1.50 | 19.2 |
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 37.8889% — 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.
32% win rate across 25 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–8 | -0.03 | 47% | 27 Aug → | ||
| 8–13 | 0.11 | 36% | 27 Aug → | ||
| 7–13 | 0.01 | 36% | 27 Aug → | ||
| 13–16 | -0.01 | 29% | 23 Aug → | ||
| 16–14 | 0.02 | 24% | 18 Aug → | ||
| 5–13 | -0.02 | 6% | 5 Aug → | ||
| 10–13 | 0.01 | 43% | 3 Aug → | ||
| 5–13 | -0.04 | 37% | 2 Aug → | ||
| 6–13 | -0.06 | 30% | 1 Aug → | ||
| 16–14 | 0.03 | 24% | 1 Aug → | ||
| 12–12 | 0.05 | 42% | 31 Jul → | ||
| 9–13 | -0.03 | 38% | 30 Jul → | ||
| 0–13 | -0.08 | 27% | 30 Jul → | ||
| 6–13 | 0.00 | 38% | 24 Jul → | ||
| 0–13 | -0.05 | 0% | 20 Jul → | ||
| 13–5 | 0.03 | 36% | 20 Jul → | ||
| 13–4 | 0.06 | 24% | 19 Jul → | ||
| 16–13 | 0.01 | 21% | 18 Jul → | ||
| 12–16 | -0.05 | 20% | 15 Jul → | ||
| 6–13 | -0.06 | 23% | 13 Jul → | ||
| 8–13 | -0.04 | 38% | 12 Jul → | ||
| 13–11 | -0.03 | 24% | 8 Jul → | ||
| 8–13 | 0.04 | 24% | 8 Jul → | ||
| 5–13 | -0.04 | 33% | 5 Jul → | ||
| 11–13 | 0.12 | 35% | 4 Jul → | ||
| 4–13 | -0.09 | 57% | 2 Jul → | ||
| 11–13 | -0.02 | 40% | 20 Jun → | ||
| 13–9 | 0.01 | 20% | 16 Jun → | ||
| 11–13 | -0.04 | 16% | 11 Jun → | ||
| 6–13 | 0.06 | 23% | 9 Jun → | ||
| 13–11 | 0.02 | 25% | 9 Jun → | ||
| 13–6 | 0.02 | 34% | 8 Jun → | ||
| 7–13 | -0.02 | 29% | 6 Jun → | ||
| 10–13 | -0.01 | 24% | 27 May → | ||
| 13–10 | 0.04 | 61% | 25 May → | ||
| 8–13 | 0.02 | 44% | 25 May → | ||
| 13–16 | 0.02 | 24% | 23 May → | ||
| 13–9 | 0.17 | 44% | 13 May → | ||
| 13–10 | 0.08 | 27% | 5 May → | ||
| 8–13 | -0.14 | 0% | 4 May → | ||
| 13–3 | 0.04 | 30% | 3 May → | ||
| 13–11 | 0.02 | 44% | 3 May → | ||
| 1–13 | -0.07 | 33% | 27 Apr → | ||
| 8–13 | 0.06 | 38% | 25 Apr → | ||
| 10–13 | 0.03 | 30% | 24 Apr → | ||
| 11–13 | 0.00 | 48% | 22 Apr → | ||
| 13–10 | 0.05 | 19% | 21 Apr → | ||
| 9–13 | 0.01 | 34% | 21 Apr → | ||
| 13–9 | 0.08 | 36% | 21 Apr → | ||
| 15–15 | 0.04 | 39% | 20 Apr → | ||
| 5–13 | -0.04 | 54% | 20 Apr → | ||
| 13–16 | 0.05 | 27% | 18 Apr → | ||
| 13–8 | 0.18 | 26% | 17 Apr → | ||
| 16–19 | 0.01 | 22% | 16 Apr → | ||
| 7–13 | -0.00 | 29% | 13 Apr → | ||
| 13–5 | 0.06 | 32% | 12 Apr → | ||
| 9–13 | -0.00 | 41% | 11 Apr → | ||
| 5–13 | -0.01 | 61% | 11 Apr → | ||
| 6–13 | 0.04 | 39% | 11 Apr → | ||
| 13–3 | 0.03 | 28% | 11 Apr → | ||
| 8–13 | 0.03 | 37% | 10 Apr → | ||
| 13–11 | 0.10 | 41% | 10 Apr → | ||
| 10–13 | 0.05 | 27% | 10 Apr → | ||
| 13–8 | 0.04 | 61% | 6 Apr → | ||
| 19–22 | 0.03 | 34% | 3 Apr → | ||
| 4–13 | -0.05 | 27% | 3 Apr → | ||
| 16–13 | 0.03 | 20% | 3 Apr → | ||
| 13–9 | 0.10 | 33% | 29 Mar → | ||
| 6–13 | 0.00 | 31% | 29 Mar → | ||
| 8–13 | 0.04 | 40% | 25 Mar → | ||
| 13–11 | 0.08 | 49% | 16 Mar → | ||
| 16–12 | 0.07 | 38% | 15 Mar → | ||
| 9–13 | 0.05 | 30% | 14 Mar → | ||
| 8–13 | 0.05 | 45% | 14 Mar → | ||
| 13–8 | 0.05 | 25% | 13 Mar → | ||
| 13–10 | 0.08 | 38% | 9 Mar → | ||
| 4–13 | 0.05 | 33% | 9 Mar → | ||
| 3–13 | 0.07 | 32% | 9 Mar → | ||
| 9–3 | -0.08 | 27% | 9 Mar → | ||
| 16–13 | 0.00 | 32% | 9 Mar → | ||
| 5–13 | -0.08 | 26% | 8 Mar → | ||
| 11–13 | 0.07 | 27% | 7 Mar → | ||
| 13–8 | 0.14 | 32% | 3 Mar → | ||
| 13–9 | 0.08 | 41% | 1 Mar → | ||
| 8–13 | 0.02 | 41% | 1 Mar → | ||
| 10–13 | 0.00 | 26% | 28 Feb → | ||
| 13–10 | -0.02 | 16% | 28 Feb → | ||
| 2–13 | -0.02 | 45% | 28 Feb → | ||
| 15–15 | -0.03 | 25% | 27 Feb → | ||
| 13–8 | 0.03 | 37% | 27 Feb → | ||
| 13–11 | -0.00 | 29% | 22 Feb → | ||
| 2–13 | -0.07 | 26% | 22 Feb → | ||
| 7–13 | 0.07 | 45% | 22 Feb → | ||
| 7–13 | -0.03 | 28% | 18 Feb → | ||
| 0–13 | -0.01 | 46% | 17 Feb → | ||
| 4–13 | -0.07 | 82% | 16 Feb → | ||
| 6–13 | -0.01 | 33% | 16 Feb → | ||
| 10–13 | 0.04 | 37% | 16 Feb → | ||
| 2–13 | 0.02 | 32% | 16 Feb → | ||
| 4–13 | 0.03 | 32% | 16 Feb → |
Match data via Leetify.