Inmyrestlessdream — CS2 Stats
MC76561198243844536[U:1:283578808]Steam profile ↗✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp 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: opening-duel success, 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 87 — 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 6.9/10 (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 |
|---|---|---|---|---|---|
| S | 29 | 20–9 | 69% | 0.03 | |
| S | 28 | 19–9 | 68% | 0.03 | |
| B | 18 | 9–9 | 50% | 0.05 | |
| S | 17 | 11–6 | 65% | 0.02 | |
| — | 2 | 2–0 | 100% | 0.06 | |
| — | 2 | 2–0 | 100% | 0.04 | |
| — | 2 | 0–2 | 0% | -0.06 | |
| warden | — | 1 | 0–1 | 0% | 0.01 |
| — | 1 | 0–1 | 0% | 0.06 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (50% over 18). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 94 | 59% | 1.15 | 16.6 |
| Dust2 | 73 | 51% | 1.23 | 17.4 |
| Ancient | 48 | 58% | 1.17 | 16.0 |
| Nuke | 26 | 65% | 1.35 | 17.6 |
| Anubis | 22 | 59% | 1.19 | 15.1 |
| Inferno | 21 | 62% | 1.25 | 15.2 |
| Train | 6 | 50% | 1.48 | 19.2 |
| Overpass | 4 | 100% | 1.30 | 16.3 |
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 0.4221 — below the 0.5 mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 16–12 | -0.02 | 32% | 28 Jul → | ||
| 13–3 | 0.04 | 30% | 28 Jul → | ||
| 9–13 | -0.02 | 32% | 27 Jul → | ||
| 13–5 | 0.08 | 26% | 27 Jul → | ||
| 13–6 | 0.01 | 23% | 17 Jul → | ||
| 1–13 | 0.01 | 34% | 11 Jul → | ||
| 13–10 | 0.03 | 17% | 11 Jul → | ||
| 6–13 | -0.05 | 27% | 11 Jul → | ||
| 13–3 | 0.07 | 36% | 11 Jul → | ||
| 13–10 | 0.07 | 29% | 11 Jul → | ||
| 5–13 | -0.03 | 14% | 11 Jul → | ||
| 13–7 | 0.14 | 28% | 11 Jul → | ||
| 13–11 | -0.02 | 12% | 8 Jul → | ||
| 6–13 | 0.09 | 26% | 8 Jul → | ||
| 13–4 | 0.14 | 18% | 8 Jul → | ||
| 13–11 | 0.06 | 21% | 3 Jul → | ||
| 4–13 | -0.01 | 20% | 3 Jul → | ||
| 13–6 | 0.11 | 28% | 3 Jul → | ||
| 11–13 | 0.02 | 37% | 1 Jul → | ||
| 13–9 | 0.04 | 39% | 1 Jul → | ||
| 7–13 | 0.03 | 38% | 30 Jun → | ||
| 13–7 | 0.02 | 47% | 30 Jun → | ||
| 16–14 | 0.04 | 34% | 29 Jun → | ||
| warden | 6–13 | 0.01 | 34% | 29 Jun → | |
| 12–12 | 0.06 | 41% | 27 Jun → | ||
| 13–2 | 0.03 | 33% | 24 Jun → | ||
| 10–13 | -0.04 | 28% | 23 Jun → | ||
| 10–13 | -0.01 | 30% | 21 Jun → | ||
| 13–9 | -0.01 | 31% | 20 Jun → | ||
| 13–9 | 0.06 | 37% | 20 Jun → | ||
| 13–2 | 0.11 | 21% | 20 Jun → | ||
| 13–4 | 0.08 | 25% | 7 Jun → | ||
| 13–10 | 0.02 | 12% | 22 May → | ||
| 13–16 | -0.01 | 27% | 16 May → | ||
| 13–8 | -0.02 | 30% | 16 May → | ||
| 13–5 | 0.05 | 25% | 14 May → | ||
| 13–4 | 0.04 | 29% | 14 May → | ||
| 13–8 | 0.12 | 20% | 13 May → | ||
| 11–13 | 0.00 | 22% | 13 May → | ||
| 13–5 | 0.09 | 52% | 9 May → | ||
| 13–6 | 0.05 | 20% | 9 May → | ||
| 13–2 | 0.04 | 24% | 9 May → | ||
| 13–2 | 0.08 | 18% | 8 May → | ||
| 7–13 | -0.00 | 24% | 5 May → | ||
| 13–9 | 0.01 | 25% | 5 May → | ||
| 13–4 | 0.01 | 16% | 5 May → | ||
| 12–12 | 0.09 | 25% | 1 May → | ||
| 5–0 | 0.14 | 33% | 1 May → | ||
| 13–8 | 0.13 | 20% | 1 May → | ||
| 13–11 | -0.03 | 22% | 28 Apr → | ||
| 11–13 | 0.06 | 31% | 26 Apr → | ||
| 8–13 | -0.03 | 22% | 25 Apr → | ||
| 13–9 | -0.00 | 19% | 24 Apr → | ||
| 8–13 | -0.01 | 25% | 24 Apr → | ||
| 13–5 | 0.11 | 30% | 24 Apr → | ||
| 13–1 | 0.11 | 29% | 23 Apr → | ||
| 4–13 | -0.00 | 24% | 12 Apr → | ||
| 8–13 | 0.01 | 25% | 12 Apr → | ||
| 13–8 | 0.09 | 34% | 12 Apr → | ||
| 11–13 | 0.01 | 21% | 26 Dec → | ||
| 13–10 | 0.00 | 27% | 26 Dec → | ||
| 13–7 | 0.02 | 32% | 4 Dec → | ||
| 11–13 | -0.03 | 31% | 4 Dec → | ||
| 13–1 | 0.09 | 64% | 24 Nov → | ||
| 13–11 | -0.03 | 35% | 24 Nov → | ||
| 13–9 | 0.04 | 17% | 8 Nov → | ||
| 13–9 | 0.01 | 28% | 8 Nov → | ||
| 13–2 | 0.03 | 11% | 8 Nov → | ||
| 16–13 | 0.01 | 30% | 8 Nov → | ||
| 13–5 | 0.04 | 22% | 8 Nov → | ||
| 16–14 | -0.02 | 46% | 8 Nov → | ||
| 11–13 | -0.03 | 20% | 6 Nov → | ||
| 13–16 | 0.03 | 24% | 2 Nov → | ||
| 13–16 | 0.02 | 25% | 30 Oct → | ||
| 5–0 | 0.15 | 71% | 30 Oct → | ||
| 13–2 | 0.11 | 28% | 30 Oct → | ||
| 6–0 | -0.00 | 29% | 30 Oct → | ||
| 8–13 | -0.02 | 28% | 14 Oct → | ||
| 13–9 | -0.02 | 28% | 14 Oct → | ||
| 6–13 | 0.03 | 26% | 13 Oct → | ||
| 13–5 | 0.08 | 23% | 12 Oct → | ||
| 13–7 | 0.03 | 28% | 12 Oct → | ||
| 7–13 | -0.08 | 15% | 12 Oct → | ||
| 12–12 | -0.02 | 29% | 5 Oct → | ||
| 13–9 | -0.01 | 13% | 28 Sept → | ||
| 5–13 | -0.10 | 12% | 25 Sept → | ||
| 13–7 | -0.06 | 16% | 21 Sept → | ||
| 13–7 | 0.05 | 25% | 21 Sept → | ||
| 13–6 | 0.02 | 31% | 20 Sept → | ||
| 11–13 | -0.01 | 13% | 20 Sept → | ||
| 7–13 | 0.00 | 16% | 20 Sept → | ||
| 13–8 | -0.02 | 26% | 20 Sept → | ||
| 13–5 | 0.09 | 42% | 16 Sept → | ||
| 7–13 | 0.01 | 23% | 14 Sept → | ||
| 13–16 | 0.05 | 19% | 14 Sept → | ||
| 6–13 | -0.05 | 28% | 14 Sept → | ||
| 13–8 | 0.08 | 34% | 11 Sept → | ||
| 13–10 | 0.08 | 44% | 11 Sept → | ||
| 11–13 | -0.05 | 34% | 7 Sept → | ||
| 13–7 | 0.10 | 35% | 7 Sept → |
Match data via Leetify.
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