Maka — CS2 Stats
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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: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimerHigh utility contribution
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 s1mple 92% playstyle similarity
Most alike: opening-fight frequency, aim profile.
Where you differ: higher 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 93 — the mechanical foundation is a clear strength.
CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Utility. Utility score of 81 — grenade impact well above the norm.
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 7.6/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 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 |
|---|---|---|---|---|---|
| B | 30 | 15–15 | 50% | 0.01 | |
| C | 22 | 9–13 | 41% | -0.02 | |
| C | 19 | 8–11 | 42% | -0.00 | |
| C | 14 | 6–8 | 43% | 0.02 | |
| S | 7 | 5–2 | 71% | 0.01 | |
| S | 6 | 4–2 | 67% | -0.01 | |
| — | 2 | 1–1 | 50% | 0.01 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (41% over 22). Start with the 6 essential Ancient 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 |
|---|---|---|---|---|
| Dust2 | 551 | 63% | 1.50 | 19.1 |
| Ancient | 453 | 54% | 1.42 | 18.6 |
| Anubis | 416 | 63% | 1.51 | 18.5 |
| Nuke | 317 | 62% | 1.46 | 19.0 |
| Inferno | 185 | 61% | 1.48 | 19.1 |
| Overpass | 98 | 54% | 1.46 | 18.9 |
| Mirage | 58 | 45% | 1.37 | 17.4 |
| Vertigo | 55 | 58% | 1.44 | 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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
41% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 19–15 | 0.01 | 34% | 26 Aug → | ||
| 13–3 | 0.10 | 23% | 19 Aug → | ||
| 6–13 | -0.01 | 25% | 15 Aug → | ||
| 7–13 | -0.01 | 16% | 15 Aug → | ||
| 9–13 | 0.03 | 31% | 12 Aug → | ||
| 3–13 | -0.04 | 9% | 30 Jul → | ||
| 18–22 | 0.05 | 32% | 30 Jul → | ||
| 13–10 | 0.01 | 17% | 30 Jul → | ||
| 13–9 | -0.00 | 15% | 26 Jul → | ||
| 13–11 | 0.05 | 43% | 26 Jul → | ||
| 7–13 | -0.02 | 23% | 24 Jul → | ||
| 16–14 | -0.01 | 18% | 24 Jul → | ||
| 13–6 | 0.08 | 40% | 24 Jul → | ||
| 6–13 | -0.02 | 13% | 23 Jul → | ||
| 8–13 | -0.02 | 33% | 23 Jul → | ||
| 13–7 | -0.01 | 39% | 23 Jul → | ||
| 13–8 | -0.02 | 21% | 21 Jul → | ||
| 4–13 | -0.03 | 38% | 21 Jul → | ||
| 7–13 | 0.04 | 25% | 21 Jul → | ||
| 13–2 | 0.10 | 31% | 17 Jul → | ||
| 13–7 | -0.05 | 19% | 17 Jul → | ||
| 13–4 | 0.02 | 25% | 16 Jul → | ||
| 13–10 | -0.01 | 31% | 16 Jul → | ||
| 8–13 | -0.07 | 21% | 15 Jul → | ||
| 13–8 | 0.10 | 17% | 15 Jul → | ||
| 8–10 | 0.02 | 23% | 15 Jul → | ||
| 0–3 | -0.04 | 22% | 15 Jul → | ||
| 5–13 | 0.02 | 14% | 4 Jul → | ||
| 1–13 | -0.06 | 25% | 4 Jul → | ||
| 9–13 | -0.04 | 38% | 3 Jul → | ||
| 5–13 | -0.03 | 28% | 2 Jul → | ||
| 16–14 | -0.00 | 32% | 1 Jul → | ||
| 13–8 | -0.02 | 25% | 24 Jun → | ||
| 10–13 | 0.00 | 17% | 23 Jun → | ||
| 4–13 | -0.05 | 13% | 21 Jun → | ||
| 13–8 | 0.00 | 32% | 20 Jun → | ||
| 3–13 | -0.06 | 25% | 10 Jun → | ||
| 13–5 | 0.05 | 36% | 10 Jun → | ||
| 13–10 | 0.00 | 23% | 9 Jun → | ||
| 6–13 | 0.01 | 21% | 8 Jun → | ||
| 7–13 | -0.04 | 26% | 7 Jun → | ||
| 8–13 | -0.02 | 30% | 30 May → | ||
| 13–11 | 0.07 | 18% | 30 May → | ||
| 13–6 | 0.02 | 18% | 29 May → | ||
| 13–7 | 0.02 | 26% | 29 May → | ||
| 13–9 | -0.02 | 20% | 28 May → | ||
| 9–13 | -0.00 | 11% | 27 May → | ||
| 14–16 | -0.09 | 27% | 25 May → | ||
| 13–10 | 0.05 | 26% | 23 May → | ||
| 11–13 | 0.04 | 25% | 21 May → | ||
| 9–13 | -0.03 | 23% | 20 May → | ||
| 13–5 | 0.05 | 32% | 25 Apr → | ||
| 16–13 | 0.08 | 22% | 24 Apr → | ||
| 1–13 | -0.09 | 38% | 15 Apr → | ||
| 6–13 | -0.02 | 21% | 15 Apr → | ||
| 13–5 | -0.01 | 27% | 14 Apr → | ||
| 13–9 | -0.00 | 23% | 14 Apr → | ||
| 3–5 | -0.02 | 20% | 14 Apr → | ||
| 1–13 | -0.01 | 44% | 13 Apr → | ||
| 2–13 | -0.01 | 23% | 11 Apr → | ||
| 5–13 | 0.01 | 14% | 11 Apr → | ||
| 11–13 | 0.06 | 38% | 10 Apr → | ||
| 10–13 | -0.01 | 14% | 10 Apr → | ||
| 16–13 | 0.03 | 21% | 9 Apr → | ||
| 13–9 | 0.07 | 25% | 9 Apr → | ||
| 9–13 | 0.01 | 26% | 9 Apr → | ||
| 13–9 | 0.03 | 32% | 7 Apr → | ||
| 13–9 | 0.03 | 38% | 7 Apr → | ||
| 13–3 | 0.07 | 24% | 6 Apr → | ||
| 13–6 | 0.02 | 29% | 6 Apr → | ||
| 11–13 | -0.02 | 28% | 6 Apr → | ||
| 10–13 | -0.00 | 32% | 5 Apr → | ||
| 19–16 | 0.04 | 25% | 5 Apr → | ||
| 13–8 | 0.04 | 28% | 5 Apr → | ||
| 6–13 | -0.02 | 13% | 4 Apr → | ||
| 13–9 | 0.00 | 50% | 4 Apr → | ||
| 7–13 | -0.01 | 24% | 4 Apr → | ||
| 3–13 | -0.08 | 5% | 2 Apr → | ||
| 13–8 | -0.03 | 24% | 2 Apr → | ||
| 3–13 | -0.03 | 14% | 2 Apr → | ||
| 3–13 | -0.08 | 5% | 2 Apr → | ||
| 13–8 | -0.03 | 24% | 2 Apr → | ||
| 3–13 | -0.03 | 14% | 2 Apr → | ||
| 3–13 | -0.03 | 14% | 2 Apr → | ||
| 3–13 | -0.08 | 5% | 2 Apr → | ||
| 13–8 | -0.03 | 24% | 2 Apr → | ||
| 13–6 | -0.03 | 26% | 2 Apr → | ||
| 7–13 | 0.02 | 35% | 2 Apr → | ||
| 5–13 | -0.04 | 23% | 2 Apr → | ||
| 5–13 | -0.04 | 23% | 2 Apr → | ||
| 13–6 | -0.03 | 26% | 2 Apr → | ||
| 7–13 | 0.02 | 35% | 2 Apr → | ||
| 8–13 | -0.04 | 17% | 1 Apr → | ||
| 13–11 | 0.01 | 29% | 1 Apr → | ||
| 13–9 | 0.06 | 29% | 1 Apr → | ||
| 13–9 | 0.06 | 29% | 1 Apr → | ||
| 8–13 | -0.04 | 17% | 1 Apr → | ||
| 13–11 | 0.01 | 29% | 1 Apr → | ||
| 13–6 | 0.10 | 35% | 1 Apr → | ||
| 16–13 | 0.03 | 7% | 1 Apr → |
Match data via Leetify.