
Twitch & Youtube Partner | History Degree - Law Degree - Master in Cybersegurity - Web developer | Dead by Daylight Content Creator #DBDCreator - Boxing 🥊🥊
Spain
Joined February 2010
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Sammahell retweeted
7 Days to Go!
Bound by a single thread.
None can break free. All descend into madness.
An original hand-drawn poster by renowned Chinese artist Huang Hai.
Step into the Wulin on October 28 at 7 pm PT.
Sammahell retweeted
Todo lo que vive está diseñado para morir... sobre todo en La Niebla.
Prepárate para la llegada de 2B, A2 y Emil junto con la colección NieR:Automata, disponible mañana.
Sammahell retweeted
Aquí tienes lo que puedes esperar en La Niebla durante esta temporada espeluznante 🎃
Sammahell retweeted
The fight for humanity continues in The Fog.
The NieR:Automata Collection arrives on October 6.
@NieRGame
Sammahell retweeted
It looks like our comms have been breached.
Please wait for further instructions!
Sammahell retweeted
¿Te gusta las películas de terror?
Dale play a la nueva selección de horrores que llegará a Dead by Daylight este Halloween.
Disfruta nuestro Octubre de Terror.
Sammahell retweeted
Matchmaking System Update
Since the release of the 10.1.0 update, which introduced our new MMR system, we've been closely monitoring matchmaking data and player feedback. Many of you have reported matches feeling unbalanced, with players of widely varying skill levels and playtimes being matched together.
The launch of the new MMR system required a global reset to all players' ratings, after which we expected players to quickly settle into ratings that reflected their skill level. Unfortunately, as our players have highlighted, that didn't happen as intended. After investigating, we identified a matchmaking parameter that was unintentionally broadening the range of potential opponents and teammates.
Adjusting Streak Weighting
This parameter relates to win and loss streaks. Originally, consecutive wins or losses would expand a player's matchmaking range, putting them into matches where the amplified impact on MMR would help them reach their appropriate rating more quickly. However, the configuration we used led to an overexaggerated increase in rating variance and a skill mix in matches that was wider than intended. We adjusted this parameter late last week to lower the weight that win and lose streaks have on MMR.
Early results are promising, showing less variance in player skill levels and an improvement in line with our expectations. We'll continue to monitor and validate matchmaking performance throughout the weeks ahead and encourage you to share your experiences here to support our ongoing investigation.
A Reminder on the MMR Reset
It's important to note that some players are still calibrating after the global reset in August. For example, if you haven't played as The Unknown since, your rating is not accurately set to reflect your skill level when playing as that Killer. Your first few matches with The Unknown are likely to feel unbalanced, but you should settle into your natural range. This is the case for each Killer as you progress through the roster.
Looking Forward
This change isn't a silver bullet, but it's an important first step of many toward the matchmaking experience we're working to achieve. The team is actively monitoring how this fix impacts matchmaking over time and is committed to making further adjustments as we investigate longer-term improvements to the system.
We appreciate your patience, and most of all, we appreciate your feedback! It was integral to identify last week's fix. Thank you for being on this journey with us, and we'll keep you informed as our matchmaking system continues to evolve.
Sammahell retweeted
La plaza de El Pilar en Zaragoza desbordada.
Histórica la imagen de toda España.
Sánchez va a pagar cara la traición en las urnas.
España ya ha despertado.
Sammahell retweeted
Lo que se viene con "Black Myth Zhong Kui" es otra anomalía del estudio Game Science.
Wukong ya era un juergardo y este promete ser superior.
Solo espero que de ser su año sea reconocido y no dejado a un lado por un robot que salta.
























