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Unlocking the Secrets of Serbia Volleyball Match Predictions

Welcome to the ultimate guide for enthusiasts of Serbia volleyball, where every day brings new matches filled with excitement and unpredictability. Our platform is dedicated to providing expert betting predictions that are meticulously crafted to give you an edge in understanding and anticipating match outcomes. Whether you're a seasoned bettor or new to the world of volleyball, our insights will guide you through the intricacies of each game.

The world of volleyball is dynamic, with teams constantly evolving and strategies being refined. In Serbia, where volleyball holds a special place in the hearts of many, staying updated with the latest match predictions is crucial for anyone looking to engage deeply with this sport. Our daily updates ensure that you never miss out on critical information that could influence your betting decisions.

Why Choose Our Expert Betting Predictions?

  • Comprehensive Analysis: Our predictions are based on thorough analysis of team performances, player statistics, historical data, and current form.
  • Expert Insights: We leverage the knowledge of seasoned analysts who have been following Serbian volleyball closely.
  • Daily Updates: With matches happening frequently, we ensure our predictions are always fresh and relevant.
  • User-Friendly Interface: Navigate through our platform easily to find all the information you need at a glance.

Understanding the nuances of volleyball can be daunting, but our expert team simplifies this process by breaking down complex data into actionable insights. This allows both novice and experienced bettors to make informed decisions.

No volleyball matches found matching your criteria.

The Art of Prediction: A Deep Dive into Our Methodology

At the core of our prediction service lies a sophisticated methodology that combines statistical analysis with expert intuition. We start by examining recent performances of teams in various leagues and tournaments. This includes not just win-loss records but also detailed metrics like attack efficiency, block success rate, and serve accuracy.

Player-specific data is another critical component. We analyze individual player statistics such as spikes per set, blocks per set, and serving errors. Additionally, we consider factors like player fitness levels and any recent injuries that might impact performance.

Historical matchups between teams also play a significant role in our predictions. By studying past encounters, we identify patterns and trends that could influence future games. For instance, if Team A has consistently performed well against Team B under certain conditions (e.g., home court advantage), this insight is factored into our predictions.

Incorporating External Factors

Beyond raw data, external factors such as weather conditions (for outdoor matches), travel fatigue from long journeys between cities or countries, and even psychological aspects like team morale can significantly affect match outcomes. Our analysts keep a close eye on these variables to refine their predictions further.

Stay Ahead with Daily Updates

The landscape of Serbian volleyball is ever-changing. Teams evolve rapidly due to transfers, tactical shifts by coaches, or emerging young talent making their mark on professional stages. To stay ahead in this fast-paced environment requires constant vigilance and adaptation—a task we undertake diligently.

  • Trend Monitoring: We continuously monitor trends within Serbian volleyball leagues as well as international competitions where Serbian teams participate.
  • Social Media Insights: Social media platforms provide real-time updates from players themselves—often sharing insights into training sessions or personal reflections post-match—that can offer valuable context for upcoming games.
  • Fan Sentiment Analysis: By analyzing fan discussions across forums and social networks, we gain additional perspectives that might not be immediately apparent through traditional media channels.

Expert Tips for Betting on Volleyball Matches

Analyzing Team Form

One crucial aspect when predicting outcomes is assessing current team form over several matches rather than focusing solely on isolated results. Here’s how: - Track performance metrics across recent games (win/loss streaks). - Consider consistency in scoring patterns; does one team tend to dominate early sets while another peaks later? - Evaluate adaptability—how quickly do teams adjust strategies mid-game?

Evaluating Key Players’ Impact

Individual players often sway match dynamics significantly due to their skill levels or leadership qualities. Key considerations include: - Star player availability: Is your favorite athlete playing tonight? - Recent performances: Has there been any improvement or decline?
<|vq_10052|>- Home Court Advantage Many teams perform better when playing at home due to familiar surroundings boosting confidence levels among players. - Examine historical home vs away records - Note crowd support impact during high-stakes games

Betting Strategies Based on Historical Data

Historical data provides insight into recurring patterns which can guide strategic betting decisions. - Look for head-to-head statistics between specific teams - Identify underdog victories; these instances often indicate potential upsets worth considering

Mindset & Motivation Factors

Understanding psychological elements behind each team’s preparation may offer clues about likely performance outcomes. - Analyze pre-match interviews for signs of confidence or apprehension - Consider stakes involved – playoff games may drive stronger performances than regular-season matches

Note: While these tips enhance your analytical toolkit when placing bets on volleyball matches involving Serbian teams specifically tailored towards maximizing returns while minimizing risks associated with sports gambling!

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Detailed Match Analysis: A Case Study Approach

Casualty Clash: Red Star Belgrade vs OK Vojvodina Novi Sad (Hypothetical Example)

In this section let's delve deeper using an example scenario involving two prominent Serbian clubs competing fiercely within domestic league circuits...

  • Team Performance Metrics: Analyzing both Red Star Belgrade's offensive prowess versus OK Vojvodina Novi Sad's defensive strength offers insights into possible match dynamics.
  • Key Player Contributions: Evaluating standout performers such as Ivan Miljković from Red Star Belgrade—who has been instrumental in clutch situations—against Novi Sad's top scorer could highlight pivotal moments during gameplay.
  • Head-to-Head Historical Context: Reviewing previous encounters helps predict trends; perhaps Red Star tends towards aggressive playstyles while Novi Sad excels under pressure scenarios often leading them towards late-game comebacks?
  • External Influences Impacting Game Day Performance: Considering elements like travel fatigue if either side had played an away game recently before facing off again domestically provides additional layers for analysis purposes too!
  • Fan Sentiment & Psychological Edge: Understanding fan expectations via social media sentiment analysis can sometimes reveal unspoken pressures exerted upon athletes which subtly influence overall gameplay quality throughout duration spanned across entire match length. <|vq_11401|>

This hypothetical case study showcases how multifaceted approaches combining quantitative metrics alongside qualitative assessments yield comprehensive predictive frameworks essential for informed betting strategies tailored specifically around Serbia's vibrant volleyball scene!

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User Experience & Platform Usability Features Designed for Optimal Engagement

  • Intuitive Navigation System: Ensures users swiftly locate desired content without unnecessary complexity hindering accessibilities such as mobile compatibility enhancements integrated seamlessly throughout user interface design components!
  • Customizable Dashboard Options: Users can personalize viewing preferences highlighting specific match fixtures they’re interested most prominently alongside favorite leagues/teams dynamically updating based upon interaction history patterns observed over time ensuring relevancy remains paramount across engagements undertaken therein!
  • Real-Time Notifications & Alerts Setup Mechanism :Allowing enthusiasts receive immediate updates regarding score changes live commentary streams etc., directly onto preferred devices keeping them abreast latest developments unfolding within beloved sportive domain no matter location specifics involved therein whatsoever! <|vq_12045|>

The amalgamation between advanced technological features coupled user-centric design philosophy forms bedrock foundation upon which entire digital ecosystem rests guaranteeing satisfaction satisfaction satisfaction amongst diverse demographics engaging platform regularly whether novices experts alike!

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In Conclusion: Elevate Your Betting Game with Informed Predictions & Comprehensive Insights!

To encapsulate essence driving motivation behind crafting such exhaustive resource dedicated solely towards enhancing understanding surrounding Serbia Volleyball Match Predictions! It stands testament commitment delivering unparalleled value users seeking depth beyond superficial surface level analyses prevalent elsewhere industry-wide offering instead nuanced perspectives enriched expertly curated content poised revolutionize approach engaging sportive entertainment medium favored millions globally today!

We invite enthusiasts passionate pursuit excellence wagering endeavors join us journey exploring vast potentialities unravelled through meticulous research dedication unwavering commitment excellence upheld standards ensuring every stakeholder participant derives utmost benefit derived herein!

Your gateway comprehensive knowledge awaits unlocking doors boundless opportunities await those daring enough embrace challenge conquer uncertainties inherent unpredictable nature sports betting particularly pertaining captivating realm Serbia Volleyball Matches Predictions! Embark adventure transformative experience redefining boundaries conventional wisdom thought previously constrained confines imagination limits perceived possible hitherto venture forth boldly armed arsenal expertise insight precision analytics precision harnessed collective wisdom generations dedicated pursuit mastery craft betwixt skill artistry foresight visionary foresight transcending ordinary pursuits mundane pursuits everyday life experiences commonly encountered thereof!

© [Year] Your Trusted Source For Expert Volleyball Match Predictions | All Rights Reserved | Privacy Policy | Terms Of Use | Contact Us [0]: #!/usr/bin/env python [1]: # -*- coding:utf8 -*- [2]: # [3]: # Author: huash06 [4]: # Date: 2019/12/17 下午7:15 [5]: # Desc: [6]: import json [7]: import os [8]: import random [9]: import numpy as np [10]: import torch.utils.data as data [11]: def load_data(data_path): [12]: train_file = os.path.join(data_path + 'train.txt') [13]: dev_file = os.path.join(data_path + 'dev.txt') [14]: print('loading train file from {}'.format(train_file)) [15]: train_examples = read_tsv(train_file) [16]: print('loading dev file from {}'.format(dev_file)) [17]: dev_examples = read_tsv(dev_file) {'label': 'REAL', 'text': "An asteroid about half a mile wide will zoom past Earth today .", 'uid': 'c9f75d93-a76a-4b36-a18d-ea19be0f86b8'} {'label': 'FAKE', 'text': "The United States government will start requiring all people born after Jan.n1 ,n2000 ,ntonregisternwithnthenNationalnSecuritynAgency .", 'uid': 'd7fdabdb-d19e-430a-b6a9-cbfedddbbfb8'} {'label': 'FAKE', 'text': "Scientists have found evidence that some dinosaurs were warm-blooded ,nlike birds ,nand not cold-blooded ,nlike reptiles .", 'uid': 'f43c086e-d966-45ae-bdce-a226ba8e387d'} ['REAL', 'FAKE', 'FAKE'] ['real', False] ('c9f75d93-a76a-4b36-a18d-ea19be0f86b8',) ('d7fdabdb-d19e-430a-b6a9-cbfedddbbfb8',) ('f43c086e-d966-45ae-bdce-a226ba8e387d',) False label : REAL ; text : An asteroid about half a mile wide will zoom past Earth today . uid : c9f75d93-a76a-4b36-a18d-ea19be0f86b8 ; label : REAL ; text : An asteroid about half a mile wide will zoom past Earth today . true_label_list : ['REAL'] pred_label_list : ['REAL'] pred_prob_list : [array([0.99823173])] uid_list : ['22ad50cc-eef6-4fe1-b77c-f94eeaa68bd5'] true_label_list_length : 1 pred_label_list_length : 1 true_label_list : ['FAKE'] pred_label_list : ['FAKE'] pred_prob_list : [array([0.99754325])] uid_list : ['47650df7-f27b-41fc-ab71-c38874587308'] true_label_list_length : 1 pred_label_list_length : 1 true_label_list : ['FAKE'] pred_label_list : ['REAL'] pred_prob_list : [array([0.99985723])] uid_list : ['34da91dc-f28c-4975-ad95-c72abbc9eb83'] true_label_list_length : 1 pred_label_list_length : 1 true_label_list : ['REAL'] pred_label_list : ['REAL'] pred_prob_list : [array([0.99989874])] uid_list : ['603cd890-d62e-4115-be60-cbb39eb69fa6'] true_label_list_length : 1 pred_label_list_length : 1 [ { "label": "FAKE", "text": "The federal government plans to release millions more acres along Alaska's coast line.", "uid": "68948358-d088-431b-bfa6-f81de76726ec" }, { "label": "REAL", "text": "President Obama has nominated former astronaut Mark Kelly as Secretary of Homeland Security.", "uid": "697677ff-f21e-416b-bbd7-ed31cf00bd79" }, { "label": "REAL", "text": "'Star Wars' actor Harrison Ford was arrested last week after his Cessna clipped the roof off Los Angeles International Airport.", "uid": "70cc42ac-ca85-44af-acbc-f721fe4cd452" } ] [ FAKE, REAL, REAL ] [ fake, real, real ] ( u'68948358-d088-431b-bfa6-f81de76726ec', u'697677ff-f21e-416b-bbd7-ed31cf00bd79', u'70cc42ac-ca85-44af-acbc-f721fe4cd452', ) False [ { "label": "REAL", "text": "'Star Trek' actor William Shatner has bought an island north-east of Vancouver Island.", "uid": "72ef36eb-e29c-40be-ab59-edda18102251" }, { "label": "'SOMEWHERE BETWEEN FAKE AND REAL'", "text": "'Star Trek' actor William Shatner has bought an island north-east of Vancouver Island.", "'Star Trek' actor William Shatner has bought an island north-east of Vancouver Island.", "'Star Trek' actor William Shatner has bought an island north-east of Vancouver Island." }, { "label": "'SOMEWHERE BETWEEN FAKE AND REAL'", text:"President Obama said Thursday he supports same-sex marriage.","President Obama said Thursday he supports same-sex marriage.","President Obama said Thursday he supports same-sex marriage." } ] [ REAL, SOMEWHERE BETWEEN FAKE AND REAL, SOMEWHERE BETWEEN FAKE AND REAL ] [ real, somewhere between fake and real, somewhere between fake and real ] ( u'72ef36eb-e29c-40be-ab59-edda18102251', u'"Star Trek" actor William Shatner has bought an island north-east of Vancouver Island.', u'"Star Trek" actor William Shatner has bought an island north-east of Vancouver Island.', u'"Star Trek" actor William Shatner has bought an island north-east of Vancouver Island.' u'"President Obama said Thursday he supports same-sex marriage."', u'"President Obama said Thursday he supports same-sex marriage."', u'"President Obama said Thursday he supports same-sex marriage."' ) True {'true_labels': array(['REAL']), 'pred_labels': array(['SOMEWHERE BETWEEN FAKE AND REAL']), '_id': array(['72ef36eb-e29c-40be-ab59-edda18102251'], dtype=object)} {'true_labels': array(['SOMEWHERE BETWEEN FAKE AND REAL']), '_id': array(["'"Star Trek" actor William Shatner...Vancouver Island."', '"President Obama...same-sex marriage."'], dtype=object), '_preds_raw_text_preds_text': [['"Star Trek" actor William Shatner...', '"President Obama...same-sex marriage."'], ["'"Star Trek" actor William Shatner...Vancouver Island."', '"President Obama...same-sex marriage."']] } ('72ef36eb-e29c- 40be-ab59-edda18102251',) ("'"Star Tre... k" actor Wiliam S... tartrek" acto... startrek" ac... "'Presiden... ' ) FALSE label : text : u'72ef36eb-e29c- 40be-ab59-edda18102251' u'"Star Tre... k" actor Wiliam S... tartrek" acto... startrek" ac...' u"'Presiden... '" label : text : u'"Star Tre... k" actor Wiliam S... tartrek" acto... startrek" ac...' text : u"'Presiden... '" ***** Tag Data ***** ID: 4 description: Complex nested dictionary structure parsing with conditional logic inside. start line: 130 end line: 176 dependencies: - type: Function/Method/Class Definition/Other relevant code segment inside `load_data` start line: null end line: null context description: This snippet processes nested dictionary structures containing various labels (`true_labels`, `pred_labels`) along with corresponding metadata (`uids`, `texts`). It involves conditional checks and logical operations based on these nested dictionaries. algorithmic depth: 4 algorithmic depth external: N obscurity: 4 advanced coding concepts: 4 interesting for students: 5 self contained: Y ************* ## Suggestions for complexity: 1. **Dynamic Label Mapping:** Implement logic where labels (both `true_labels` and `pred_labels`) can be dynamically mapped from strings to numerical values based on configuration files loaded at runtime. 2. **Hierarchical Metadata Processing:** Extend metadata processing so it handles hierarchical structures within `uids` or `texts`, allowing multi-level nested dictionaries. 3. **Conditional Transformation Logic:** Introduce complex conditional transformations where different types (`real`, `fake`, etc.) trigger different processing pipelines including machine learning model inference steps. 4. **Parallel Processing:** Incorporate parallel processing capabilities using Python’s multiprocessing library specifically designed for handling large-scale nested dictionary structures efficiently. 5. **Error Handling Enhancements:** Implement advanced error handling mechanisms that log specific details about mismatches between `true_labels` and `pred_labels` along with contextual metadata information. ## Conversation: <|user|>: I'm having trouble understanding how I can dynamically map my labels (`true_labels` & `pred_labels`) based on some configuration files loaded at runtime? Can you help me integrate this logic?

Here’s part my code snippet:
{"MAIN_SNIPPET": "ttttttttt'tpred_probs:nttttttt[n...t"real",n...t"real",n...t]n...t'_id:n...'"} <|end|> <|assistant|>: Sure! To dynamically map your labels based on configuration files loaded at runtime, we need first load these configurations using JSON or YAML files (whichever you prefer). Then use these mappings while processing your labels. Here’s how you could implement it: python import json # Load mappings from configuration file (assuming JSON format here) with open('config.json') as config_file: label_mappings = json.load(config_file) # Function to map labels dynamically based on loaded configuration mappings: def map_labels(labels): return [label_mappings.get(label.lower(), label) for label in labels] # Example usage within your existing code structure: true_labels = np.array(['REAL', ...]) pred_labels = np.array(['real', ...]) mapped_true_labels = map_labels(true_labels) mapped_pred_labels = map_labels(pred_labels) # Now use mapped_true_labels & mapped_pred_labels wherever necessary in your logic: print(mapped_true_labels) print(mapped_pred_labels) This way you ensure that your label mapping adjusts dynamically according to whatever configuration you load at runtime.

Let me know if there are specific parts where this should be integrated!

*** Excerpt *** *** Revision 0 *** ## Plan To create an exercise that challenges advanced language comprehension skills while demanding profound understanding and additional factual knowledge beyond what is presented in the excerpt itself: 1. **Complexify the Excerpt**: Integrate complex scientific theories or historical events into the excerpt requiring not just comprehension but also background knowledge. 2. **Incorporate Deductive Reasoning**: Include statements that require readers to apply deductive reasoning skills to understand implications not directly stated but logically inferred from the given information. 3. **Use Nested Counterfactuals and Conditionals**: Embed multiple layers of counterfactuals ("If X had happened instead of Y") and conditionals ("If X happens then Y will follow"), making it necessary for readers to track several hypothetical scenarios simultaneously. By doing so, readers must navigate through intricate logical structures while applying their external knowledge base effectively. ## Rewritten Excerpt In a hypothetical scenario wherein Einstein had collaborated closely with Bohr during their debates over quantum mechanics—a collaboration never historically documented—it stands reasoned that their combined intellect might have accelerated breakthroughs in quantum computing decades earlier than witnessed historically post-Curie's pioneering research in radioactivity which indirectly influenced quantum theory development through advancements in atomic physics understanding. Had Einstein embraced Bohr's probabilistic interpretation over his deterministic universe view—contrary to historical accounts—and had Curie’s work led directly rather than indirectly by catalyzing advancements in particle physics sooner—assuming no other variables changed—the trajectory towards quantum computing technology would arguably have followed a markedly different path potentially altering modern computational capabilities significantly before Turing formalized theoretical computer science principles. ## Suggested Exercise In a counterfactual scenario where Albert Einstein collaborated closely with Niels Bohr during their debates over quantum mechanics—a partnership never recorded—and assuming Einstein adopted Bohr’s probabilistic interpretation over his deterministic view contrary to actual historical accounts—and Marie Curie’s research directly accelerated advancements in particle physics sooner without changing other variables—which statement best reflects how these changes could have impacted the development trajectory toward quantum computing technology? A) The acceleration would have been negligible since Turing’s contributions were pivotal irrespective of advancements in quantum mechanics understanding. B) Quantum computing technology would have seen significant advancements decades earlier than historically documented because Einstein’s acceptance would have unified theoretical physics much sooner facilitating technological applications derived from quantum theory more rapidly than Turing's contributions alone could account for. C) Such collaboration would have delayed progress because Einstein's deterministic views were essential counterpoints necessary for refining Bohr's probabilistic interpretations thus fostering deeper inquiries leading up until Turing's era without direct implications on computational technology development timelines. D) Despite early breakthroughs facilitated by Curie’s direct influence on particle physics accelerating theoretical foundations laid by Einstein-Bohr collaboration efforts—quantum computing would remain unaffected until material science caught up providing practical means to construct quantum computers hence no significant alteration before Turing formalized computer science principles. ologues de la série '''''Fire Emblem'''''. Les personnages ont été créés par le concepteur de jeu et scénariste Tomoya Asano et les compositeurs Yasunori Mitsuda et Motoi Sakuraba pour les séries ''Fire Emblem'' sur consoles Nintendo depuis ''Fire Emblem Awakening''. En raison des différences entre les différents jeux vidéo dans lesquels ils apparaissent et de leurs différents contextes historiques et mythologiques fictifs respectifs qui influencent leurs caractéristiques personnelles et leurs histoires individuelles respectives — ainsi que des changements significatifs dans la mécanique de jeu au fil des ans — ces personnages sont généralement considérés comme faisant partie de franchises distinctes plutôt que d'une seule série à travers les générations successives du jeu vidéo · . Les personnages principaux de la série sont appelés « héros », ce qui se réfère à leur statut spécial en tant que protagonistes principaux de l'intrigue du jeu respectif · . La plupart des jeux vidéo de la série ont deux héros principaux ou plus qui peuvent être joués simultanément par le joueur lors des batailles tactiques en tour par tour dans le jeu ; il s'agit généralement d'un protagoniste principal masculin et d'un protagoniste principal féminin · . Dans certains jeux vidéo comme ''{{{Langue||en-link=''[[Fire Emblem Fates]]''}}}'', chaque protagoniste principal est présenté comme ayant sa propre histoire unique avec une intrigue distincte qui peut être choisie par le joueur pour jouer à travers le mode Histoire du jeu · . == Histoire == {{{Article détaillé|Mécanique de Fire Emblem{{!}}Mécanique du ''Fire Emblem''}}} La première entrée dans la franchise ''Fire Emblem'', intitulée simplement {{{Japonais||聖剣伝説 ''Seiken Densetsu''}}} () en japonais ou {{{Anglais||''[[Fire Emblem Gaiden]]''}}} en anglais occidental est sortie sur Nintendo Entertainment System en {{{date||mars||1987}}} au Japon et un peu plus tard cette année-là aux États-Unis sous le titre ''{{{Langue||en-link=''[[Fire Emblem Gaiden]]''}}}''. Elle est souvent décrite comme un préquel non canonique à la suite principale · . Lorsque Nintendo lance la console portable Game Boy en {{{date||avril||1989}}}, elle commence à publier une nouvelle série télévisée intitulée {{{Japonais||英雄伝説シリーズ}}} () avec trois nouveaux jeux vidéo sortis entre {{{date||novembre||1990}}} et {{{date||août||1994}}} ; ces trois jeux sont connus sous le nom de « trilogie Marth ». Chaque entrée était considérée comme une suite indépendante mais liée à la précédente jusqu'à ce qu'elle soit relancée avec l'introduction d'une nouvelle mécanique appelée « système de classes » pour le quatrième volet intitulé {{{Japonais||聖剣伝説 再世の姫君}}} () sorti sur Super Famicom au Japon en {{{date||juillet||1997}}} puis sur Nintendo Game Boy Color aux États-Unis sous le titre ''{{{Langue||en-link=''[[Fire Emblem Genesis]]''}}}'' l'année suivante · . Le cinquième volet intitulé {{{Japonais||英雄伝説 空の軌跡}}} () est sorti sur Super Famicom au Japon en {{{date||juillet ||1998}}} puis sur Nintendo Game Boy Color aux États-Unis sous le titre ''{{{Langue ||en-link=''[[Fire Emblem Thracia]]''}}}''. Il introduit un nouveau personnage principal nommé Roy qui apparaîtra dans tous les futurs volets jusqu'à ce jour où il fait partie intégrante du canon officiel de la série depuis son apparition initiale dans ce cinquième volet · . Le sixième volet intitulé {{{Japonais ||英雄伝説 風の大陸}}} () est sorti sur Game Boy Advance au Japon en {{{date ||septembre |2001}}} puis aux États-Unis sous le titre ''{{{Langue ||en-link=''[[Fire Emblem Echoes]]''}}}''. Ce sixième volet marque un tournant important dans l'évolution des personnages principaux car il présente une nouvelle protagoniste féminine nommée Camilla dont l'apparence physique est très différente des précédentes protagonistes féminines telles que Marth ou Lyn ; elle possède également un passé mystérieux qui sera révélé plus tard dans ses histoires ultérieures tout comme celle de Roy · . Le septième volet intitulé {{{Japonais ||聖剣伝説ファイアーエムブレム 覚醒 ! ルキナと導かれし七星の王国!? }}} () est sorti sur Nintendo DS au Japon en {{{date ||juillet ||2008}}}. Le huitième volet intitulé {{{Japonais ||聖剣伝説 ファイアーエムブレム 新・紋章の軌跡 }}} () est sorti sur Wii U au Japon en {{Date |28 juillet |2015}}, puis aux États-Unis sous le titre ''{{{Langue |en-link=''[[Fire Emblem Fates]]''}}}''. Ce huitième opus introduit deux nouveaux protagonistes masculins nommés Lucius et Caeda ainsi qu'une nouvelle protagoniste féminine nommée Corrin dont l'apparence physique change selon certaines décisions prises par le joueur lors du début du mode Histoire du jeu · . Le neuvième volet intitulé {{{Japonais ||聖剣伝説 ファイアーエムブレムif 白鷹士と炎竜王 }}} () est sorti sur Nintendo Switch au Japon en {{Date |20 septembre |2017}}, puis aux États-Unis sous le titre ''{{{Langue |en-link=''[[Fire Emblem Warriors]]''}}}''. Ce neuvième opus présente une nouvelle protagoniste féminine nommée Azura dont l'apparence physique diffère sensiblement des précédentes protagonistes féminines telles que Camilla ou Corrin ; elle possède également un passé mystérieux similaire à celui-ci tout comme celui-ci avec son père adoptif Alm tandis que son frère adoptif Halbert devient son compagnon durant sa quête pour retrouver sa véritable identité après avoir été kidnappée par des bandits lorsqu'elle était enfant · . Le dixième volet intitulé {{{Japonais ||聖剣伝説 ファイアーエムブレム 風花雪月 }}} () est sorti sur Nintendo Switch au Japon en {{Date |20 juillet |2019}}, puis aux États-Unis sous le titre ''{{{Langue |en-link=''[[Fire Emblem Three Houses]]''}}}''. Ce dixième opus présente deux nouveaux protagonistes masculins nommés Byleth et Claude ainsi qu'une nouvelle protagoniste féminine nommée Edelgard dont l'apparence physique diffère sensiblement des précédentes protagonistes féminines telles que Azura ou Corrin ; elle possède également un passé mystérieux similaire à celui-ci tout comme celui-ci avec ses parents biologiques tandis qu'elle devient membre fondateur d'un groupe secret appelé « Ordre Noir » durant sa quête pour venger sa famille après avoir été assassinée par cet ordre secret lorsqu'elle était enfant · . == Caractères == === Protagonistes === [table] Protagonistes Créateur(s) Jouabilité Apparitions Rôle(s) Détails Récits orig