MASA — CS2 Stats
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.02 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
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 91% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
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
CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
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 7.3/10 (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 |
|---|---|---|---|---|---|
| C | 26 | 9–17 | 35% | 0.02 | |
| A | 18 | 11–7 | 61% | 0.01 | |
| C | 15 | 6–9 | 40% | 0.02 | |
| D | 12 | 3–9 | 25% | 0.00 | |
| S | 9 | 7–2 | 78% | 0.01 | |
| C | 5 | 2–3 | 40% | -0.01 | |
| — | 4 | 1–3 | 25% | 0.03 | |
| warden | — | 2 | 1–1 | 50% | -0.01 |
| — | 2 | 1–1 | 50% | 0.05 | |
| — | 2 | 1–1 | 50% | 0.00 | |
| poseidon | — | 2 | 0–2 | 0% | -0.11 |
| boulder | — | 1 | 0–1 | 0% | 0.03 |
| shelter | — | 1 | 1–0 | 100% | 0.04 |
| fachwerk | — | 1 | 1–0 | 100% | 0.12 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 561 | 50% | 0.99 | 15.2 |
| Anubis | 326 | 49% | 1.03 | 15.5 |
| Nuke | 295 | 54% | 1.07 | 15.7 |
| Dust2 | 259 | 53% | 0.96 | 14.6 |
| Inferno | 224 | 56% | 0.98 | 15.2 |
| Ancient | 197 | 47% | 0.97 | 15.0 |
| Train | 111 | 57% | 1.09 | 16.0 |
| Vertigo | 88 | 57% | 0.99 | 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
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 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 4–12 | -0.02 | 25% | 14 Aug → | ||
| 2–2 | -0.04 | 0% | 13 Aug → | ||
| 16–13 | 0.09 | 28% | 24 Jul → | ||
| 13–9 | 0.08 | 26% | 17 Jul → | ||
| 13–11 | 0.01 | 7% | 12 Jul → | ||
| 13–9 | 0.00 | 12% | 12 Jul → | ||
| 13–5 | 0.11 | 19% | 12 Jul → | ||
| 3–3 | -0.05 | 7% | 12 Jul → | ||
| 1–6 | -0.10 | 0% | 12 Jul → | ||
| 10–13 | 0.04 | 18% | 12 Jul → | ||
| boulder | 2–7 | 0.03 | 28% | 11 Jul → | |
| shelter | 13–4 | 0.04 | 24% | 11 Jul → | |
| fachwerk | 4–2 | 0.12 | 22% | 11 Jul → | |
| 0–2 | -0.11 | 0% | 11 Jul → | ||
| 13–6 | 0.02 | 6% | 11 Jul → | ||
| 13–7 | 0.11 | 18% | 11 Jul → | ||
| 8–13 | -0.03 | 6% | 10 Jul → | ||
| 13–4 | 0.01 | 23% | 10 Jul → | ||
| 16–12 | 0.13 | 24% | 9 Jul → | ||
| 10–13 | 0.02 | 14% | 9 Jul → | ||
| 3–12 | 0.01 | 27% | 5 Jul → | ||
| 9–13 | 0.03 | 23% | 5 Jul → | ||
| warden | 13–5 | -0.01 | 24% | 4 Jul → | |
| 13–8 | 0.11 | 13% | 4 Jul → | ||
| 10–13 | -0.03 | 23% | 25 Jun → | ||
| 14–16 | 0.04 | 18% | 25 Jun → | ||
| 13–5 | 0.03 | 15% | 25 Jun → | ||
| 13–11 | 0.12 | 23% | 24 Jun → | ||
| 9–13 | 0.01 | 31% | 24 Jun → | ||
| 10–13 | 0.01 | 22% | 18 Jun → | ||
| 13–7 | -0.01 | 41% | 18 Jun → | ||
| 16–14 | 0.07 | 30% | 14 Jun → | ||
| 13–5 | 0.10 | 20% | 14 Jun → | ||
| 3–13 | -0.08 | 0% | 12 Jun → | ||
| 13–9 | -0.02 | 28% | 12 Jun → | ||
| 13–5 | 0.03 | 21% | 12 Jun → | ||
| 11–13 | 0.08 | 24% | 12 Jun → | ||
| 13–5 | 0.02 | 20% | 12 Jun → | ||
| 13–11 | 0.01 | 21% | 12 Jun → | ||
| 6–13 | 0.03 | 20% | 11 Jun → | ||
| 1–13 | -0.02 | 7% | 6 Jun → | ||
| 13–10 | 0.03 | 16% | 6 Jun → | ||
| 13–9 | -0.01 | 16% | 5 Jun → | ||
| 1–13 | -0.01 | 38% | 2 Jun → | ||
| 6–13 | 0.03 | 37% | 1 Jun → | ||
| 13–8 | 0.03 | 23% | 1 Jun → | ||
| 1–3 | 0.02 | 6% | 1 Jun → | ||
| 13–8 | -0.01 | 11% | 27 May → | ||
| 11–13 | 0.04 | 22% | 27 May → | ||
| 4–13 | -0.02 | 20% | 25 May → | ||
| 13–2 | 0.05 | 27% | 25 May → | ||
| 7–13 | -0.03 | 13% | 25 May → | ||
| 10–13 | 0.01 | 15% | 25 May → | ||
| 12–12 | -0.03 | 11% | 25 May → | ||
| 8–13 | -0.01 | 33% | 25 May → | ||
| 13–4 | 0.02 | 13% | 24 May → | ||
| 13–9 | -0.00 | 29% | 24 May → | ||
| 2–13 | -0.01 | 21% | 24 May → | ||
| 16–13 | -0.02 | 21% | 23 May → | ||
| 2–13 | -0.02 | 15% | 22 May → | ||
| 13–7 | 0.02 | 10% | 12 May → | ||
| 8–13 | 0.07 | 24% | 9 May → | ||
| 13–10 | 0.04 | 33% | 7 May → | ||
| 9–13 | 0.01 | 20% | 1 May → | ||
| 13–2 | 0.03 | 22% | 29 Apr → | ||
| 13–11 | -0.02 | 11% | 27 Apr → | ||
| 4–13 | -0.02 | 19% | 27 Apr → | ||
| 8–13 | 0.05 | 16% | 25 Apr → | ||
| 6–13 | 0.02 | 27% | 25 Apr → | ||
| 1–13 | 0.06 | 31% | 25 Apr → | ||
| 5–13 | -0.02 | 19% | 25 Apr → | ||
| 9–13 | -0.03 | 13% | 23 Apr → | ||
| 13–6 | 0.05 | 15% | 23 Apr → | ||
| 9–1 | 0.01 | 60% | 20 Apr → | ||
| 5–13 | 0.02 | 16% | 12 Apr → | ||
| 13–7 | -0.02 | 10% | 11 Apr → | ||
| 8–13 | 0.01 | 17% | 11 Apr → | ||
| 7–13 | -0.02 | 12% | 3 Apr → | ||
| 2–0 | 0.00 | 0% | 3 Apr → | ||
| 9–13 | -0.05 | 15% | 1 Apr → | ||
| 7–8 | -0.04 | 0% | 30 Mar → | ||
| 10–13 | 0.03 | 6% | 29 Mar → | ||
| 13–5 | 0.05 | 11% | 29 Mar → | ||
| 16–12 | 0.01 | 18% | 29 Mar → | ||
| 13–3 | 0.02 | 11% | 29 Mar → | ||
| 0–7 | -0.07 | 29% | 24 Mar → | ||
| 2–13 | -0.01 | 25% | 23 Mar → | ||
| 1–6 | 0.12 | 28% | 22 Mar → | ||
| warden | 8–13 | -0.02 | 31% | 22 Mar → | |
| 13–2 | 0.01 | 14% | 21 Mar → | ||
| 6–13 | 0.00 | 0% | 20 Mar → | ||
| 5–13 | 0.08 | 23% | 20 Mar → | ||
| 13–16 | -0.00 | 14% | 20 Mar → | ||
| 8–13 | 0.09 | 17% | 19 Mar → | ||
| poseidon | 4–9 | -0.09 | 26% | 17 Mar → | |
| poseidon | 1–9 | -0.12 | 22% | 17 Mar → | |
| 13–6 | -0.00 | 14% | 17 Mar → | ||
| 1–7 | 0.04 | 36% | 16 Mar → | ||
| 13–6 | -0.01 | 13% | 16 Mar → | ||
| 10–13 | 0.01 | 18% | 16 Mar → |
Match data via Leetify.
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