CEMEN_GOTHIN — CS2 Stats
76561198320951083[U:1:360685355]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate · +0.03 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimer
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 sh1ro 92% playstyle similarity
Most alike: opening-fight frequency, positioning 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
Aim. Aim score of 87 — the mechanical foundation is a clear strength.
CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
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 7.7/10 (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 |
|---|---|---|---|---|---|
| S | 29 | 19–10 | 66% | 0.03 | |
| A | 28 | 16–12 | 57% | 0.02 | |
| D | 12 | 4–8 | 33% | 0.01 | |
| C | 9 | 4–5 | 44% | -0.00 | |
| S | 9 | 6–3 | 67% | 0.03 | |
| office | — | 4 | 1–3 | 25% | 0.07 |
| — | 3 | 1–2 | 33% | 0.06 | |
| — | 2 | 0–2 | 0% | 0.06 | |
| — | 2 | 1–1 | 50% | 0.01 | |
| — | 1 | 0–1 | 0% | -0.02 | |
| italy | — | 1 | 1–0 | 100% | 0.03 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (33% over 12). 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 |
|---|---|---|---|---|
| Mirage | 159 | 52% | 1.17 | 16.4 |
| Ancient | 105 | 50% | 1.07 | 15.9 |
| Inferno | 76 | 55% | 1.33 | 16.7 |
| Vertigo | 54 | 52% | 1.08 | 15.5 |
| Anubis | 39 | 36% | 1.02 | 14.7 |
| Dust2 | 37 | 59% | 1.17 | 16.5 |
| Nuke | 36 | 42% | 0.99 | 15.5 |
| Overpass | 25 | 68% | 1.20 | 16.2 |
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.
33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 11–13 | 0.11 | 32% | 28 Aug → | ||
| 9–13 | 0.01 | 42% | 28 Aug → | ||
| 13–8 | 0.05 | 38% | 28 Aug → | ||
| 13–4 | -0.04 | 15% | 27 Aug → | ||
| 13–1 | 0.12 | 25% | 27 Aug → | ||
| 13–10 | 0.00 | 33% | 27 Aug → | ||
| 13–8 | 0.01 | 29% | 27 Aug → | ||
| 13–3 | 0.06 | 26% | 27 Aug → | ||
| 13–9 | -0.03 | 30% | 27 Aug → | ||
| 13–10 | -0.01 | 37% | 27 Aug → | ||
| 13–5 | 0.08 | 22% | 27 Aug → | ||
| 5–13 | -0.00 | 35% | 27 Aug → | ||
| 16–14 | -0.00 | 35% | 27 Aug → | ||
| 9–13 | -0.03 | 29% | 20 Aug → | ||
| 13–4 | 0.04 | 21% | 20 Aug → | ||
| 7–13 | -0.05 | 31% | 20 Aug → | ||
| 3–7 | -0.04 | 31% | 19 Aug → | ||
| office | 6–13 | -0.03 | 28% | 19 Aug → | |
| 13–8 | 0.04 | 27% | 18 Aug → | ||
| 13–8 | 0.03 | 36% | 17 Aug → | ||
| 13–11 | -0.03 | 23% | 17 Aug → | ||
| 13–7 | 0.08 | 28% | 17 Aug → | ||
| 9–13 | -0.02 | 17% | 16 Aug → | ||
| 11–13 | 0.05 | 23% | 16 Aug → | ||
| 8–13 | 0.03 | 32% | 16 Aug → | ||
| 5–0 | -0.04 | 0% | 16 Aug → | ||
| 5–13 | -0.08 | 29% | 15 Aug → | ||
| 10–13 | 0.09 | 33% | 14 Aug → | ||
| 13–6 | 0.08 | 32% | 14 Aug → | ||
| 13–11 | 0.02 | 30% | 14 Aug → | ||
| 9–13 | -0.04 | 26% | 13 Aug → | ||
| 2–13 | -0.09 | 16% | 13 Aug → | ||
| 1–13 | -0.09 | 25% | 13 Aug → | ||
| 13–10 | -0.00 | 29% | 12 Aug → | ||
| 0–3 | 0.01 | 33% | 12 Aug → | ||
| 13–3 | -0.04 | 16% | 12 Aug → | ||
| 13–2 | 0.02 | 12% | 11 Aug → | ||
| 5–13 | 0.05 | 28% | 11 Aug → | ||
| 11–13 | 0.05 | 24% | 9 Aug → | ||
| 13–3 | 0.10 | 35% | 9 Aug → | ||
| 10–13 | 0.05 | 29% | 9 Aug → | ||
| italy | 13–5 | 0.03 | 28% | 9 Aug → | |
| 13–9 | -0.10 | 10% | 6 Aug → | ||
| office | 8–13 | 0.01 | 22% | 5 Aug → | |
| 12–12 | 0.06 | 21% | 5 Aug → | ||
| office | 13–11 | 0.25 | 44% | 5 Aug → | |
| 13–10 | 0.02 | 26% | 5 Aug → | ||
| 12–12 | -0.01 | 33% | 5 Aug → | ||
| 13–9 | 0.10 | 21% | 5 Aug → | ||
| 13–10 | 0.04 | 19% | 3 Aug → | ||
| 5–13 | 0.03 | 50% | 3 Aug → | ||
| 0–2 | 0.00 | 0% | 30 Jul → | ||
| 11–13 | 0.00 | 33% | 30 Jul → | ||
| 13–5 | 0.03 | 22% | 30 Jul → | ||
| 11–13 | -0.03 | 23% | 30 Jul → | ||
| 13–6 | 0.07 | 33% | 30 Jul → | ||
| 13–7 | 0.05 | 22% | 30 Jul → | ||
| 3–8 | -0.07 | 0% | 30 Jul → | ||
| 5–13 | -0.01 | 40% | 30 Jul → | ||
| 7–13 | 0.04 | 24% | 30 Jul → | ||
| 13–4 | 0.10 | 29% | 28 Jul → | ||
| 13–10 | 0.06 | 22% | 26 Jul → | ||
| 16–14 | 0.08 | 26% | 25 Jul → | ||
| 6–13 | -0.03 | 24% | 25 Jul → | ||
| 15–15 | 0.09 | 30% | 23 Jul → | ||
| 13–4 | 0.11 | 35% | 23 Jul → | ||
| 13–7 | 0.01 | 33% | 23 Jul → | ||
| 7–13 | -0.00 | 25% | 23 Jul → | ||
| 13–6 | 0.02 | 27% | 23 Jul → | ||
| 13–3 | 0.11 | 41% | 23 Jul → | ||
| 10–13 | 0.08 | 18% | 23 Jul → | ||
| 7–13 | -0.00 | 15% | 22 Jul → | ||
| 13–0 | 0.01 | 29% | 21 Jul → | ||
| 13–6 | 0.02 | 24% | 21 Jul → | ||
| 13–2 | 0.11 | 29% | 21 Jul → | ||
| 9–13 | -0.02 | 27% | 21 Jul → | ||
| 1–13 | -0.08 | 25% | 20 Jul → | ||
| 11–13 | -0.00 | 29% | 20 Jul → | ||
| 7–13 | -0.02 | 20% | 20 Jul → | ||
| 13–9 | 0.03 | 30% | 20 Jul → | ||
| 6–13 | -0.00 | 10% | 20 Jul → | ||
| 9–13 | 0.01 | 26% | 20 Jul → | ||
| 13–5 | 0.07 | 38% | 19 Jul → | ||
| 11–13 | 0.05 | 28% | 19 Jul → | ||
| 13–10 | 0.07 | 30% | 19 Jul → | ||
| 13–5 | 0.11 | 34% | 19 Jul → | ||
| 4–13 | -0.04 | 25% | 19 Jul → | ||
| 25–22 | 0.03 | 27% | 19 Jul → | ||
| 13–16 | 0.02 | 28% | 18 Jul → | ||
| 13–7 | 0.05 | 24% | 18 Jul → | ||
| 7–13 | -0.03 | 37% | 18 Jul → | ||
| office | 5–13 | 0.03 | 48% | 18 Jul → | |
| 13–4 | 0.01 | 38% | 18 Jul → | ||
| 10–13 | 0.07 | 32% | 18 Jul → | ||
| 13–7 | 0.09 | 27% | 18 Jul → | ||
| 8–1 | 0.14 | 40% | 18 Jul → | ||
| 13–16 | 0.00 | 17% | 17 Jul → | ||
| 13–9 | 0.02 | 18% | 17 Jul → | ||
| 13–9 | 0.01 | 25% | 16 Jul → | ||
| 13–8 | 0.05 | 29% | 16 Jul → |
Match data via Leetify.
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