!!! — CS2 Stats
76561198870500266[U:1:910234538]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · -0.00 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimerStrong CT-side opener
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 96% playstyle similarity
Most alike: opening-fight frequency, 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 92 — the mechanical foundation is a clear strength.
CT openings. 65% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
T-side openings. Opening success drops from 65% on CT to 49% on T — the same duels are being taken with worse setups on the attacking side.
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 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 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 |
|---|---|---|---|---|---|
| A | 36 | 21–15 | 58% | 0.05 | |
| C | 19 | 8–11 | 42% | 0.06 | |
| C | 16 | 6–10 | 38% | 0.04 | |
| S | 9 | 6–3 | 67% | 0.00 | |
| D | 7 | 2–5 | 29% | 0.04 | |
| A | 5 | 3–2 | 60% | 0.07 | |
| — | 4 | 1–3 | 25% | 0.04 | |
| — | 2 | 1–1 | 50% | 0.09 | |
| italy | — | 1 | 0–1 | 0% | 0.09 |
| poseidon | — | 1 | 1–0 | 100% | 0.06 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Nuke | 93 | 74% | 1.33 | 17.9 |
| Anubis | 55 | 49% | 1.12 | 17.0 |
| Mirage | 44 | 55% | 1.28 | 17.8 |
| Inferno | 42 | 50% | 1.11 | 16.1 |
| Overpass | 33 | 55% | 1.17 | 18.1 |
| Cache | 28 | 57% | 1.29 | 17.1 |
| Ancient | 23 | 35% | 1.09 | 18.4 |
| Dust2 | 17 | 41% | 1.29 | 17.8 |
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.
29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | 0.11 | 12% | 27 Aug → | ||
| 13–9 | 0.02 | 14% | 23 Aug → | ||
| 5–13 | -0.09 | 18% | 23 Aug → | ||
| 6–13 | 0.18 | 27% | 21 Aug → | ||
| 1–13 | 0.04 | 31% | 20 Aug → | ||
| 13–3 | 0.11 | 23% | 20 Aug → | ||
| 3–13 | 0.15 | 29% | 20 Aug → | ||
| 13–8 | 0.19 | 29% | 19 Aug → | ||
| 8–13 | 0.08 | 30% | 19 Aug → | ||
| 4–13 | 0.07 | 21% | 19 Aug → | ||
| italy | 7–13 | 0.09 | 18% | 19 Aug → | |
| 8–13 | 0.16 | 25% | 19 Aug → | ||
| 5–13 | -0.00 | 25% | 19 Aug → | ||
| 6–13 | 0.14 | 17% | 19 Aug → | ||
| 13–7 | 0.17 | 38% | 19 Aug → | ||
| 6–13 | 0.06 | 29% | 18 Aug → | ||
| 13–10 | 0.13 | 13% | 18 Aug → | ||
| 6–13 | 0.03 | 33% | 18 Aug → | ||
| 10–13 | 0.07 | 16% | 18 Aug → | ||
| 11–13 | 0.06 | 21% | 18 Aug → | ||
| 11–13 | 0.06 | 17% | 18 Aug → | ||
| 13–7 | 0.07 | 23% | 6 Aug → | ||
| 9–13 | -0.00 | 19% | 30 Jul → | ||
| 13–4 | 0.11 | 23% | 28 Jul → | ||
| 13–3 | 0.03 | 29% | 27 Jul → | ||
| 11–13 | 0.01 | 19% | 27 Jul → | ||
| 13–7 | 0.03 | 23% | 27 Jul → | ||
| 13–7 | 0.03 | 24% | 23 Jul → | ||
| 11–13 | 0.03 | 41% | 16 Jul → | ||
| 8–13 | 0.01 | 25% | 15 Jul → | ||
| 13–11 | 0.02 | 47% | 2 Jul → | ||
| 7–13 | 0.02 | 22% | 2 Jul → | ||
| 12–12 | 0.06 | 27% | 1 Jul → | ||
| 13–4 | 0.04 | 29% | 1 Jul → | ||
| 13–9 | 0.16 | 34% | 1 Jul → | ||
| 3–13 | -0.02 | 46% | 30 Jun → | ||
| 16–14 | -0.01 | 20% | 28 Jun → | ||
| 13–8 | 0.04 | 23% | 28 Jun → | ||
| 9–13 | -0.01 | 25% | 28 Jun → | ||
| 13–11 | 0.08 | 19% | 28 Jun → | ||
| 13–7 | 0.07 | 30% | 28 Jun → | ||
| 13–4 | 0.15 | 25% | 26 Jun → | ||
| 13–4 | 0.17 | 27% | 26 Jun → | ||
| 13–6 | 0.00 | 20% | 23 Jun → | ||
| 13–11 | 0.04 | 28% | 21 Jun → | ||
| 13–8 | 0.11 | 29% | 16 Jun → | ||
| 12–12 | -0.00 | 40% | 16 Jun → | ||
| 7–13 | -0.03 | 38% | 27 May → | ||
| 16–14 | -0.02 | 11% | 13 May → | ||
| 13–9 | 0.14 | 38% | 13 May → | ||
| 7–13 | -0.02 | 27% | 13 May → | ||
| 13–10 | 0.07 | 26% | 12 May → | ||
| 8–13 | -0.05 | 32% | 10 May → | ||
| 12–12 | 0.02 | 22% | 8 May → | ||
| 10–13 | 0.07 | 21% | 8 May → | ||
| 13–9 | 0.03 | 31% | 4 May → | ||
| 13–10 | 0.02 | 5% | 15 Apr → | ||
| 3–13 | 0.06 | 29% | 11 Apr → | ||
| 4–13 | 0.01 | 34% | 11 Apr → | ||
| 13–11 | 0.03 | 21% | 8 Apr → | ||
| 4–13 | -0.02 | 21% | 30 Mar → | ||
| 13–6 | -0.06 | 17% | 30 Mar → | ||
| 13–7 | -0.01 | 21% | 30 Mar → | ||
| 5–13 | -0.06 | 14% | 24 Mar → | ||
| poseidon | 9–5 | 0.06 | 25% | 22 Mar → | |
| 9–2 | 0.12 | 22% | 22 Mar → | ||
| 6–13 | 0.08 | 28% | 22 Mar → | ||
| 9–13 | 0.00 | 19% | 22 Mar → | ||
| 13–10 | -0.01 | 10% | 22 Mar → | ||
| 8–1 | 0.00 | 12% | 22 Mar → | ||
| 13–6 | 0.05 | 31% | 20 Mar → | ||
| 13–7 | -0.04 | 27% | 19 Mar → | ||
| 8–13 | 0.06 | 8% | 16 Mar → | ||
| 13–7 | 0.03 | 22% | 11 Mar → | ||
| 3–13 | 0.01 | 17% | 8 Mar → | ||
| 13–9 | 0.05 | 23% | 8 Mar → | ||
| 16–12 | 0.07 | 20% | 6 Mar → | ||
| 13–8 | 0.05 | 23% | 6 Mar → | ||
| 13–10 | 0.03 | 24% | 6 Mar → | ||
| 12–12 | 0.06 | 18% | 6 Mar → | ||
| 11–13 | 0.03 | 25% | 6 Mar → | ||
| 16–13 | 0.05 | 18% | 5 Mar → | ||
| 13–7 | 0.05 | 31% | 5 Mar → | ||
| 11–13 | -0.04 | 20% | 5 Mar → | ||
| 7–13 | 0.10 | 47% | 4 Mar → | ||
| 7–1 | 0.32 | 43% | 4 Mar → | ||
| 13–10 | 0.05 | 34% | 4 Mar → | ||
| 9–13 | 0.02 | 24% | 4 Mar → | ||
| 13–7 | 0.04 | 15% | 4 Mar → | ||
| 6–13 | 0.05 | 43% | 25 Feb → | ||
| 3–13 | -0.03 | 37% | 25 Feb → | ||
| 13–11 | -0.01 | 14% | 17 Feb → | ||
| 3–13 | -0.04 | 15% | 16 Feb → | ||
| 6–13 | 0.03 | 38% | 16 Feb → | ||
| 10–13 | 0.02 | 24% | 15 Feb → | ||
| 13–7 | -0.00 | 31% | 15 Feb → | ||
| 15–15 | 0.07 | 22% | 12 Feb → | ||
| 8–13 | 0.02 | 25% | 12 Feb → | ||
| 4–13 | 0.02 | 21% | 9 Feb → | ||
| 12–12 | 0.03 | 21% | 8 Feb → |
Match data via Leetify.
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