LuzRaposa
green: confident, yellow: guess, red: uncertain
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Strengths and Weaknesses

Your Simpsons character
Sam Carder’s focus on data and statistical modelling mirrors Lisa’s love for learning and logical analysis. He frequently shares analytical insights such as 'Another stage, another probability breakdown 👇' and declares 'The statistical modelling approach stays winning.' His disdain for misinformation appears in 'Los comentarios me sacan, lo único que saben hacer es repetir fake News como loros y ver maldad donde no la hay', echoing Lisa’s criticism of fake news. He even offers his analytical work as 'homework' for others, saying 'Feel free to copy my homework on this one', which reflects Lisa’s academic mindset. These traits together make Lisa Simpson the best match for his personality.

Your MBTI personality Type
Sam’s tweets focus on data‑driven analysis and strategic insights rather than personal chatter, indicating an introverted preference (e.g., 'Another stage of the major, another probability breakdown 👇'). Their frequent references to patterns, future scenarios, and abstract comparisons—such as 'Vitality 2025 and Astralis 2019 are eerily similar, with one obvious difference: ZywOo' and 'We’re potentially looking at the strongest top 5 Counter‑Strike has had in a very long time'—show a strong intuitive (N) orientation. The consistent use of logical reasoning and objective criteria—'The statistical modelling approach stays winning' and 'I’m three for three on Pick’Ems this Major'—reflects a Thinking (T) decision style. Finally, the regular posting of scheduled predictions and calls to action like 'With just a few hours left before Stage 2 starts, feel free to copy my homework' demonstrates a Judging (J) preference for structure and planning.

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Your new Twitter bio
Data-driven CS2 analyst & Pick'Em strategist. Former quant turned esports nerd. Once guessed a map by the shape of my coffee spill. 🇬🇧– @LuzRaposa

Your signature cocktail
The drink mirrors Sam’s analytical edge with a bold cold brew coffee base, echoing his tweet: "Another stage, another 5 points collected. I'm three for three on Pick'Ems this Major. The statistical modelling approach stays winning." The London dry gin grounds the cocktail in his UK roots, while the chili-infused tequila adds the fiery sarcasm of his comment: "So Falcons and FURIA won't ever win a Major, huh? Those are the bad karma orgs apparently." A splash of fresh lemon juice captures his optimism and frequent calls to "Pick'Ems to the moon 🫡". Finally, a smoked rosemary garnish evokes the smoky maps of CS:GO and his strategic insight, as he once wrote: "Karrigan doing everything FalleN couldn't."

Your Hogwarts House
Sam's tweets repeatedly emphasize data-driven insight, such as 'Another stage, another probability breakdown 👇' and 'I'm three for three on Pick'Ems this Major. The statistical modelling approach stays winning.' This focus on analysis and intellectual rigor aligns with Ravenclaw's love of knowledge. He also encourages others to follow his models, saying 'Remember to lock in your Pick'Ems for Stage 3. Feel free to copy ours if you want to hop aboard the data & statistics train 🚂', showing a desire to share wisdom. His strategic commentary, like 'We're potentially looking at the strongest top 5 Counter Strike has had in a very long time', reflects the clever, thoughtful mindset prized by Ravenclaw.

Your movie

Your song
LuzRaposa treats CS:GO picks like a high‑stakes gamble, constantly posting probability breakdowns such as "Another stage, another probability breakdown 👇" and urging followers to "Pick'Ems to the moon 🫡". Their emphasis on a "statistical modelling approach stays winning" and the metaphorical "data & statistics train 🚂" mirrors the gambler’s reliance on odds and careful decision‑making. The lyric "You got to know when to hold 'em, know when to fold 'em" captures their analytical mindset of when to back a team or abandon a pick. This blend of data‑driven analysis and the thrill of competitive betting makes "The Gambler" a fitting anthem for their online persona.

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