amk. — CS2 Stats
ZW76561197980263244[U:1:19997516]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · -0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Effective 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 Twistzz 87% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: 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
Strengths
Flashes. 0.77 enemies blinded per flash — utility that consistently lands.
Areas to improve
Reaction time. 567ms 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 5.3/10 (Developing), 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 |
|---|---|---|---|---|---|
| C | 34 | 14–20 | 41% | -0.01 | |
| C | 17 | 7–10 | 41% | -0.00 | |
| B | 17 | 9–8 | 53% | -0.02 | |
| A | 13 | 8–5 | 62% | -0.01 | |
| D | 8 | 2–6 | 25% | -0.02 | |
| C | 7 | 3–4 | 43% | -0.02 | |
| — | 4 | 0–4 | 0% | -0.05 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 45 | 49% | 0.95 | 14.1 |
| Inferno | 39 | 59% | 1.10 | 14.8 |
| Anubis | 29 | 69% | 1.25 | 15.6 |
| Ancient | 23 | 52% | 1.10 | 15.7 |
| Dust2 | 21 | 57% | 1.00 | 15.3 |
| Nuke | 21 | 52% | 1.04 | 15.3 |
| Vertigo | 12 | 50% | 1.09 | 15.4 |
| Overpass | 10 | 50% | 0.82 | 12.9 |
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 36.8427% — 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 | |
|---|---|---|---|---|---|
| 14–16 | -0.06 | 17% | 28 Aug → | ||
| 13–8 | -0.04 | 5% | 28 Aug → | ||
| 13–10 | -0.04 | 24% | 27 Aug → | ||
| 13–7 | 0.03 | 26% | 27 Aug → | ||
| 16–14 | -0.02 | 22% | 27 Aug → | ||
| 10–13 | -0.08 | 11% | 26 Aug → | ||
| 13–2 | 0.02 | 11% | 26 Aug → | ||
| 8–13 | -0.07 | 6% | 25 Aug → | ||
| 9–13 | -0.07 | 16% | 25 Aug → | ||
| 13–6 | -0.01 | 32% | 24 Aug → | ||
| 11–13 | -0.05 | 16% | 23 Aug → | ||
| 8–1 | 0.05 | 29% | 23 Aug → | ||
| 16–13 | -0.03 | 24% | 22 Aug → | ||
| 13–10 | 0.01 | 32% | 22 Aug → | ||
| 13–11 | -0.02 | 24% | 22 Aug → | ||
| 3–13 | -0.05 | 8% | 22 Aug → | ||
| 10–13 | -0.01 | 23% | 16 Aug → | ||
| 13–9 | -0.02 | 29% | 15 Aug → | ||
| 14–16 | 0.01 | 15% | 15 Aug → | ||
| 8–13 | -0.06 | 26% | 15 Aug → | ||
| 13–7 | -0.02 | 8% | 15 Aug → | ||
| 7–13 | -0.05 | 13% | 15 Aug → | ||
| 13–9 | 0.01 | 14% | 15 Aug → | ||
| 6–13 | -0.05 | 17% | 15 Aug → | ||
| 10–13 | -0.10 | 40% | 14 Aug → | ||
| 13–7 | -0.03 | 18% | 14 Aug → | ||
| 13–8 | -0.00 | 24% | 14 Aug → | ||
| 10–13 | -0.01 | 12% | 14 Aug → | ||
| 11–13 | 0.00 | 17% | 6 Aug → | ||
| 4–13 | -0.03 | 14% | 6 Aug → | ||
| 11–13 | -0.01 | 14% | 5 Aug → | ||
| 13–1 | 0.05 | 31% | 5 Aug → | ||
| 8–13 | -0.03 | 19% | 5 Aug → | ||
| 13–9 | -0.05 | 11% | 5 Aug → | ||
| 9–13 | 0.03 | 21% | 4 Aug → | ||
| 6–13 | -0.08 | 20% | 4 Aug → | ||
| 8–0 | 0.04 | 17% | 4 Aug → | ||
| 6–13 | -0.01 | 22% | 4 Aug → | ||
| 13–2 | -0.03 | 8% | 4 Aug → | ||
| 8–13 | -0.03 | 12% | 4 Aug → | ||
| 4–13 | 0.03 | 13% | 3 Aug → | ||
| 14–16 | -0.07 | 25% | 3 Aug → | ||
| 9–13 | 0.06 | 9% | 31 Jul → | ||
| 13–10 | 0.08 | 12% | 31 Jul → | ||
| 13–11 | -0.04 | 22% | 30 Jul → | ||
| 2–13 | -0.04 | 9% | 30 Jul → | ||
| 2–13 | -0.02 | 11% | 30 Jul → | ||
| 10–13 | -0.06 | 19% | 27 Jul → | ||
| 13–8 | -0.03 | 18% | 26 Jul → | ||
| 4–13 | 0.00 | 18% | 25 Jul → | ||
| 16–13 | 0.01 | 15% | 22 Jul → | ||
| 11–13 | -0.02 | 9% | 22 Jul → | ||
| 13–3 | 0.02 | 16% | 20 Jul → | ||
| 13–7 | 0.03 | 28% | 16 Jul → | ||
| 10–13 | -0.03 | 22% | 12 Jul → | ||
| 13–8 | 0.02 | 8% | 12 Jul → | ||
| 7–13 | 0.01 | 32% | 30 Jun → | ||
| 5–13 | -0.09 | 21% | 28 Jun → | ||
| 10–13 | -0.00 | 10% | 24 Jun → | ||
| 13–10 | 0.04 | 17% | 24 Jun → | ||
| 6–13 | -0.01 | 14% | 24 Jun → | ||
| 13–8 | -0.02 | 12% | 24 Jun → | ||
| 14–16 | 0.00 | 22% | 22 Jun → | ||
| 15–15 | 0.02 | 12% | 22 Jun → | ||
| 13–4 | 0.09 | 18% | 21 Jun → | ||
| 13–9 | 0.02 | 11% | 21 Jun → | ||
| 5–13 | -0.07 | 5% | 21 Jun → | ||
| 8–13 | 0.01 | 8% | 11 Jun → | ||
| 13–5 | 0.03 | 13% | 11 Jun → | ||
| 4–13 | 0.09 | 0% | 10 Jun → | ||
| 13–5 | 0.07 | 14% | 10 Jun → | ||
| 13–8 | 0.02 | 17% | 10 Jun → | ||
| 10–13 | -0.02 | 21% | 10 Jun → | ||
| 9–13 | -0.05 | 10% | 9 Jun → | ||
| 13–10 | 0.02 | 23% | 9 Jun → | ||
| 15–15 | 0.07 | 18% | 8 Jun → | ||
| 5–13 | 0.02 | 22% | 7 Jun → | ||
| 16–14 | -0.00 | 21% | 2 Jun → | ||
| 8–2 | -0.08 | 0% | 2 Jun → | ||
| 13–7 | 0.01 | 17% | 2 Jun → | ||
| 4–13 | -0.10 | 14% | 2 Jun → | ||
| 13–8 | 0.05 | 14% | 1 Jun → | ||
| 5–13 | -0.02 | 19% | 1 Jun → | ||
| 11–13 | -0.04 | 21% | 31 May → | ||
| 13–16 | -0.04 | 9% | 31 May → | ||
| 11–13 | -0.02 | 17% | 31 May → | ||
| 14–16 | -0.01 | 15% | 30 May → | ||
| 8–13 | -0.02 | 8% | 26 May → | ||
| 13–11 | 0.01 | 12% | 26 May → | ||
| 13–11 | -0.02 | 35% | 26 May → | ||
| 7–13 | -0.04 | 12% | 22 May → | ||
| 7–13 | -0.06 | 22% | 22 May → | ||
| 10–13 | -0.02 | 17% | 21 May → | ||
| 10–13 | -0.05 | 14% | 21 May → | ||
| 10–13 | 0.04 | 29% | 21 May → | ||
| 6–13 | -0.06 | 20% | 20 May → | ||
| 13–7 | -0.02 | 17% | 19 May → | ||
| 11–13 | -0.06 | 23% | 17 May → | ||
| 13–11 | -0.00 | 20% | 17 May → | ||
| 13–9 | 0.02 | 8% | 17 May → |
Match data via Leetify.