Mörkö — CS2 Stats
76561198986190406[U:1:1025924678]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -40pp win rate · -0.01 avg rating
Player DNA
Primary style: Clutch Specialist — Late-round 1vX conversion well above par.
Sharp aimerReliable in 1v1s
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 91% playstyle similarity
Most alike: aim profile, 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
Positioning. Positioning trails aim by 38 points — deaths here waste a strong aim profile.
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 6.1/10 (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 | 30 | 11–19 | 37% | 0.03 | |
| C | 17 | 6–11 | 35% | 0.03 | |
| B | 13 | 7–6 | 54% | 0.02 | |
| B | 13 | 6–7 | 46% | 0.04 | |
| D | 9 | 2–7 | 22% | -0.00 | |
| B | 6 | 3–3 | 50% | -0.02 | |
| S | 6 | 4–2 | 67% | 0.02 | |
| — | 4 | 3–1 | 75% | 0.03 | |
| — | 2 | 1–1 | 50% | 0.11 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Dust 2 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 resultsWWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 2 | 50% | 1.53 | 22.0 |
| Mirage | 2 | 50% | 2.07 | 18.5 |
| Inferno | 1 | 100% | 2.00 | 20.0 |
| Dust2 | 1 | 100% | 2.14 | 15.0 |
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 29.7442% — 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.
22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–5 | 0.12 | 29% | 26 Aug → | ||
| 2–13 | -0.00 | 41% | 26 Aug → | ||
| 11–13 | 0.01 | 22% | 26 Aug → | ||
| 13–11 | -0.02 | 41% | 26 Aug → | ||
| 0–3 | -0.06 | 100% | 25 Aug → | ||
| 5–13 | -0.02 | 24% | 25 Aug → | ||
| 3–13 | 0.07 | 21% | 25 Aug → | ||
| 13–7 | 0.11 | 26% | 24 Aug → | ||
| 2–6 | -0.08 | 11% | 24 Aug → | ||
| 11–13 | -0.02 | 16% | 24 Aug → | ||
| 8–13 | 0.03 | 30% | 24 Aug → | ||
| 13–7 | -0.04 | 30% | 24 Aug → | ||
| 12–12 | 0.03 | 31% | 21 Aug → | ||
| 13–0 | 0.02 | 45% | 19 Aug → | ||
| 0–13 | -0.01 | 15% | 19 Aug → | ||
| 13–6 | 0.07 | 15% | 15 Aug → | ||
| 13–7 | 0.01 | 22% | 15 Aug → | ||
| 13–9 | 0.02 | 24% | 15 Aug → | ||
| 13–8 | 0.05 | 32% | 7 Aug → | ||
| 13–9 | 0.06 | 33% | 5 Aug → | ||
| 13–4 | 0.02 | 35% | 14 Jul → | ||
| 8–13 | -0.01 | 20% | 12 Jul → | ||
| 10–13 | 0.11 | 20% | 9 Jul → | ||
| 3–13 | 0.00 | 35% | 22 Jun → | ||
| 5–13 | -0.01 | 20% | 12 Jun → | ||
| 4–13 | 0.04 | 17% | 1 Jun → | ||
| 13–3 | -0.02 | 22% | 29 May → | ||
| 4–13 | 0.01 | 20% | 29 May → | ||
| 13–4 | 0.18 | 17% | 29 May → | ||
| 7–13 | 0.01 | 10% | 29 May → | ||
| 6–13 | -0.01 | 23% | 27 May → | ||
| 9–13 | 0.03 | 19% | 25 May → | ||
| 13–4 | 0.05 | 18% | 22 May → | ||
| 9–13 | 0.02 | 22% | 21 May → | ||
| 9–13 | -0.00 | 16% | 20 May → | ||
| 13–8 | 0.03 | 32% | 20 May → | ||
| 12–12 | 0.06 | 30% | 19 May → | ||
| 13–6 | -0.03 | 21% | 17 May → | ||
| 13–5 | 0.09 | 38% | 17 May → | ||
| 4–6 | 0.06 | 19% | 15 May → | ||
| 13–7 | 0.05 | 24% | 15 May → | ||
| 4–13 | -0.02 | 17% | 15 May → | ||
| 13–9 | 0.04 | 37% | 14 May → | ||
| 7–13 | -0.05 | 38% | 14 May → | ||
| 3–6 | -0.03 | 26% | 13 May → | ||
| 13–4 | 0.02 | 10% | 13 May → | ||
| 1–7 | -0.04 | 36% | 13 May → | ||
| 6–13 | 0.07 | 32% | 13 May → | ||
| 9–13 | -0.04 | 24% | 13 May → | ||
| 13–6 | 0.03 | 24% | 12 May → | ||
| 10–13 | 0.07 | 26% | 12 May → | ||
| 12–12 | 0.04 | 14% | 8 May → | ||
| 0–6 | -0.05 | 18% | 18 Mar → | ||
| 13–9 | -0.09 | 17% | 15 Mar → | ||
| 7–13 | -0.01 | 24% | 15 Mar → | ||
| 11–13 | -0.04 | 19% | 12 Mar → | ||
| 13–3 | -0.00 | 36% | 12 Mar → | ||
| 14–16 | 0.02 | 23% | 11 Mar → | ||
| 11–13 | 0.04 | 21% | 9 Mar → | ||
| 13–9 | 0.04 | 18% | 8 Mar → | ||
| 0–7 | -0.11 | 14% | 6 Mar → | ||
| 6–11 | 0.05 | 22% | 6 Mar → | ||
| 13–5 | 0.06 | 31% | 6 Mar → | ||
| 6–13 | -0.05 | 35% | 6 Mar → | ||
| 13–6 | 0.06 | 14% | 6 Mar → | ||
| 13–2 | 0.18 | 30% | 6 Mar → | ||
| 13–4 | 0.08 | 13% | 5 Mar → | ||
| 7–13 | 0.00 | 17% | 5 Mar → | ||
| 12–12 | 0.05 | 33% | 5 Mar → | ||
| 13–4 | 0.09 | 19% | 2 Mar → | ||
| 13–2 | 0.14 | 31% | 1 Mar → | ||
| 1–7 | -0.04 | 11% | 1 Mar → | ||
| 13–4 | 0.10 | 16% | 28 Feb → | ||
| 12–12 | 0.01 | 22% | 27 Feb → | ||
| 9–13 | 0.04 | 36% | 24 Feb → | ||
| 13–10 | 0.03 | 18% | 24 Feb → | ||
| 9–13 | -0.04 | 28% | 23 Feb → | ||
| 10–13 | 0.05 | 12% | 23 Feb → | ||
| 12–12 | -0.00 | 23% | 20 Feb → | ||
| 12–12 | 0.08 | 21% | 18 Feb → | ||
| 13–9 | 0.03 | 20% | 13 Feb → | ||
| 5–13 | -0.01 | 23% | 13 Feb → | ||
| 13–10 | 0.06 | 19% | 12 Feb → | ||
| 13–6 | -0.00 | 9% | 12 Feb → | ||
| 15–15 | 0.00 | 15% | 4 Feb → | ||
| 13–8 | -0.05 | 31% | 1 Feb → | ||
| 12–16 | 0.01 | 20% | 28 Jan → | ||
| 13–9 | 0.07 | 26% | 26 Jan → | ||
| 9–13 | 0.05 | 19% | 26 Jan → | ||
| 13–4 | 0.07 | 30% | 25 Jan → | ||
| 13–6 | -0.00 | 31% | 25 Jan → | ||
| 12–12 | 0.04 | 18% | 23 Jan → | ||
| 14–16 | 0.00 | 13% | 23 Jan → | ||
| 5–9 | 0.07 | 28% | 23 Jan → | ||
| 12–12 | 0.03 | 8% | 22 Jan → | ||
| 13–6 | 0.19 | 29% | 15 Jan → | ||
| 13–10 | 0.01 | 24% | 9 Jan → | ||
| 13–10 | 0.05 | 16% | 8 Jan → | ||
| 1–13 | 0.03 | 31% | 3 Jan → | ||
| 13–4 | 0.19 | 33% | 2 Jan → |
Match data via Leetify.