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  <title>IIHF World Championship 2026</title>
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<p><span class="hero-icon-svg">  </span></p>
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<div class="iihf-kicker">
<p>Sports analytics · Ice hockey</p>
</div>
<h1 class="iihf-main-title">
2026 IIHF World Championship
</h1>
<div class="iihf-intro">
<p>I analysed the majority of games played at the 2026 IIHF World Championship, following the tournament from its opening round through the medal games. The project goes beyond traditional box-score statistics and focuses on shot locations, shot quality, scoring opportunities and game flow.</p>
</div>
<div class="iihf-stats">
<div class="iihf-stat">
<p><strong>56</strong> <span>games analysed</span></p>
</div>
<div class="iihf-stat">
<p><strong>15</strong> <span>match days</span></p>
</div>
<div class="iihf-stat">
<p><strong>16</strong> <span>national teams</span></p>
</div>
</div>
</div>
<div class="stage-title">
<p>Group stage</p>
</div>
<div class="day-grid">
<p> <span class="day-icon"> <span class="icon-svg">  </span> </span> <strong>Day 1</strong> <span class="day-meta-small">4 analyses</span> </p>
<p> <span class="day-icon"> <span class="icon-svg">  </span> </span> <strong>Day 2</strong> <span class="day-meta-small">3 analyses</span> </p>
<p> <span class="day-icon"> <span class="icon-svg">  </span> </span> <strong>Day 3</strong> <span class="day-meta-small">3 analyses</span> </p>
<p> <span class="day-icon"> <span class="icon-svg">  </span> </span> <strong>Day 4</strong> <span class="day-meta-small">4 analyses</span> </p>
<p> <span class="day-icon"> <span class="icon-svg">  </span> </span> <strong>Day 5</strong> <span class="day-meta-small">4 analyses</span> </p>
<p> <span class="day-icon"> <span class="icon-svg">  </span> </span> <strong>Day 6</strong> <span class="day-meta-small">3 analyses</span> </p>
<p> <span class="day-icon"> <span class="icon-svg">  </span> </span> <strong>Day 7</strong> <span class="day-meta-small">4 analyses</span> </p>
<p> <span class="day-icon"> <span class="icon-svg">  </span> </span> <strong>Day 8</strong> <span class="day-meta-small">4 analyses</span> </p>
<p> <span class="day-icon"> <span class="icon-svg">  </span> </span> <strong>Day 9</strong> <span class="day-meta-small">6 analyses</span> </p>
<p> <span class="day-icon"> <span class="icon-svg">  </span> </span> <strong>Day 10</strong> <span class="day-meta-small">3 analyses</span> </p>
<p> <span class="day-icon"> <span class="icon-svg">  </span> </span> <strong>Day 11</strong> <span class="day-meta-small">4 analyses</span> </p>
<p> <span class="day-icon"> <span class="icon-svg">  </span> </span> <strong>Day 12</strong> <span class="day-meta-small">6 analyses</span> </p>
</div>
<div class="stage-title">
<p>Playoffs</p>
</div>
<div class="day-grid">
<p> <span class="day-icon"> <span class="icon-svg">  </span> </span> <strong>Day 13</strong> <span class="day-meta-small">Quarterfinals · 4 analyses</span> </p>
<p> <span class="day-icon"> <span class="icon-svg">  </span> </span> <strong>Day 14</strong> <span class="day-meta-small">Semifinals · 2 analyses</span> </p>
<p> <span class="day-icon"> <span class="icon-svg">  </span> </span> <strong>Day 15</strong> <span class="day-meta-small">Medal Day · 2 analyses</span> </p>
</div>

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{
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{
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{
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{
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{
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{
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World Championship Final
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The championship final is presented here as a complete technical match report and will also form the basis of a dedicated long-form analytical article.
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Open full technical report →
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Bronze Medal Game
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↑ Back to tournament overview
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</script>

<section id="about-the-project" class="level2 project-note">
<h2 class="anchored" data-anchor-id="about-the-project">About the project</h2>
<p>This project follows the 2026 IIHF World Championship through a series of game-level data analyses.</p>
<p>I analysed <strong>56 games across the tournament</strong>, covering the majority of the group stage and the complete knockout phase from the quarterfinals through the World Championship Final.</p>
<p>The analyses focus on elements that are not always visible in traditional box-score statistics, including shot locations, shot quality, scoring opportunities and the development of attacking pressure throughout each game.</p>
<p>Each match above links to its complete analytical report.</p>
<p>The World Championship Final between <strong>Switzerland and Finland</strong> will also receive a dedicated long-form article that brings the individual metrics together into a broader explanation of how the championship was decided.</p>
</section>



 ]]></description>
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  <pubDate>Wed, 12 Aug 2026 00:00:00 GMT</pubDate>
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  <title>Home field advantage in the AFC, 2024 season</title>
  <link>https://www.analystsdiary.com/posts/sport/home-field-advantage.html</link>
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<p>I examined this question in far more depth in my bachelor’s thesis, which analyses ten seasons (2015–2024) rather than one, and covers all 32 teams. Its conclusions differ from this earlier piece in important ways — see <a href="../../publications.html">Publications</a>.</p>
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<p>The home environment in professional sport, including American football, has long been considered a key factor influencing match outcomes. Home field advantage is commonly attributed to several main factors, such as fan support, familiar playing conditions, the absence of travel related stress, and in some cases unintentional referee bias. In the NFL, it has been historically documented that teams achieve a higher winning percentage in home games than in away games, although the magnitude of this effect may vary across individual seasons.</p>
<p>The main research question of this article is: <strong>do teams in the AFC have a higher probability of winning home games than away games?</strong> This question is analyzed through a statistical examination of the results from the 2024 regular season. Average points scored and points allowed in home and away games are compared, along with their effect on the probability of winning.</p>
<p>Home field advantage in the NFL is not fixed. Its impact may vary depending on factors such as team quality, playing strategy, stadium specific characteristics, or coaching decision making styles. It is therefore essential to determine whether the 2024 season confirms traditional patterns of home advantage or suggests a shift in its importance.</p>
<section id="key-factors-influencing-home-advantage" class="level2">
<h2 class="anchored" data-anchor-id="key-factors-influencing-home-advantage">Key factors influencing home advantage</h2>
<p>One of the most frequently cited factors is home crowd support. Fans can positively influence home team players by providing energy and motivation (Nevill &amp; Holder, 1999). At the same time, they may exert psychological pressure on referees and influence their decisions in favor of the home team (Anderson et al., 2012). In the NFL, some stadiums are famous for their noise levels, such as Arrowhead Stadium, the home of the Kansas City Chiefs, where crowd noise often exceeds 100 decibels. This noise can disrupt the opposing team’s communication, particularly during offensive plays.</p>
<p>Home teams are accustomed to the conditions of their stadium, including the type of playing surface, climate, and lighting conditions (Pollard, 2006). This can play a crucial role, especially in cases where teams from warmer regions must adapt to games played in colder climates and vice versa. For example, teams such as the Buffalo Bills or the New England Patriots are accustomed to playing in cold weather, which may give them an advantage over teams from warmer regions such as the Miami Dolphins or the Jacksonville Jaguars.</p>
<p>Visiting teams often have to overcome long travel distances, which can negatively affect their performance. Research has shown that traveling across multiple time zones can lead to jet lag, which negatively affects both physical performance and mental concentration (Smith et al., 1997). The NFL is specific in that it includes teams spread across the entire United States, meaning that some teams must travel thousands of kilometers between games. For example, the Seattle Seahawks, based in the northwestern United States, often face the longest travel distances of all NFL teams.</p>
<p>Another factor that may influence home advantage is subconscious cognitive bias among referees. Research shows that referees often subconsciously favor home teams, especially in borderline situations (Balmer et al., 2007). Analyses of penalty decisions in the NFL suggest that home teams tend to receive fewer penalties than visiting teams, although this effect has slightly decreased in recent years due to the introduction of video review systems.</p>
<p>According to a study by Jamieson (2010), the average level of home advantage in the NFL is around 55 to 60 percent home team victories. However, this trend has shown a slight decline over recent decades.</p>
</section>
<section id="data-and-method" class="level2">
<h2 class="anchored" data-anchor-id="data-and-method">Data and method</h2>
<p>The data used for this analysis come from official results of the 2024 NFL regular season. The sample includes all teams from the AFC conference, and the following statistics were recorded:</p>
<ul>
<li>number of home wins and losses — the total number of games won at the home stadium</li>
<li>number of away wins and losses — the total number of games won on the opponent’s field</li>
<li>average points scored at home and away</li>
<li>average points allowed at home and away</li>
<li>percentage probability of winning at home and away</li>
</ul>
<p>Descriptive statistics and regression analysis were used for the analysis. The model evaluates the relationship between points scored and points allowed and the probability of winning. In addition to regression analysis, differences between home and away winning probabilities are also presented.</p>
<p>Based on previous research and theoretical insights, teams should exhibit a higher percentage probability of winning at home than away, which would confirm the hypothesis of home field advantage.</p>
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<section id="results" class="level2">
<h2 class="anchored" data-anchor-id="results">Results</h2>
<p>The average values of individual variables show that teams score more points at home than away, suggesting that offensive performance is stronger in the home environment. Teams also allow fewer points at home than away, which may indicate that defense is more effective at home or that visiting teams struggle to adapt to new conditions. The probability of winning at home is higher than away, confirming the existence of home field advantage.</p>
<ul>
<li>The probability of winning at home is 63.2 percent, compared with 43.8 percent away.</li>
<li>Points scored away have a greater impact on winning than points scored at home.</li>
<li>Points allowed at home have a stronger negative effect on winning than points allowed away.</li>
</ul>
<p>Overall, the models confirm that home advantage exists, but its effect may be smaller than expected, particularly for elite teams that perform consistently well away from home.</p>
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<section id="why-conceding-hurts-more-at-home" class="level2">
<h2 class="anchored" data-anchor-id="why-conceding-hurts-more-at-home">Why conceding hurts more at home</h2>
<p>The analysis shows that points allowed have a greater negative impact on the probability of winning at home than away. This means that when a home team concedes points, its chance of winning decreases more than that of a visiting team in a comparable situation. If a home team concedes, its probability of winning decreases by an average of 25 percent. For away teams, the decrease is smaller, averaging 22.7 percent.</p>
<p>This effect can be explained by several factors. The home team faces greater pressure from fans who expect a victory. When the home team allows points, demoralization may occur, which affects on field performance. Coaches of home teams may be under pressure to respond quickly and adjust strategy, leading to greater risk taking. Some teams adopt more aggressive play after conceding points, which can result in additional mistakes.</p>
<p>These results suggest that the psychological effect of the home environment may in certain situations be more negative than positive, particularly when a team finds itself in a disadvantageous position. These findings offer a new perspective on the traditional concept of home advantage and indicate that the pressure associated with home games can be counterproductive for some teams.</p>
</section>
<section id="limitations" class="level2">
<h2 class="anchored" data-anchor-id="limitations">Limitations</h2>
<p>Although the analysis provides valuable insights into home advantage in the NFL, it is important to consider certain limitations. The results apply only to the 2024 regular season and may not be fully generalizable to other seasons. Home advantage may change over time depending on league trends, rule changes, or competitive balance.</p>
<p>Individual team performance was not taken into account. The analysis worked with overall trends within the AFC conference, but specific teams may exhibit different patterns. Some teams may have an extremely strong home record, while others may perform similarly at home and away, and differences may also be driven by schedule strength.</p>
</section>
<section id="conclusion" class="level2">
<h2 class="anchored" data-anchor-id="conclusion">Conclusion</h2>
<p>This article confirmed that the home environment provides teams in the AFC conference with an advantage during the 2024 regular season, while also revealing several surprising nuances. While home teams show a higher probability of winning and better offensive and defensive statistics, points scored away play a more significant role in victories than points scored at home. In addition, psychological pressure after conceding points is greater for home teams, which may be an important factor in game strategy planning.</p>
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<section id="a-note-on-what-came-next" class="level2">
<h2 class="anchored" data-anchor-id="a-note-on-what-came-next">A note on what came next</h2>
<p>This article works with a single season and one conference. Extending the same question to ten seasons and the whole league changes the picture: once team strength is controlled for season by season, the only environmental factor that reliably moves home-field advantage is the visiting team crossing three time zones. Stadium type and weather do not hold up. The full analysis is in my bachelor’s thesis, linked under <a href="../../publications.html">Publications</a>.</p>
</section>
<section id="references" class="level2">
<h2 class="anchored" data-anchor-id="references">References</h2>
<p>ANDERSON, Eric, et al.&nbsp;(2012). Home Advantage in Professional Sports: A Meta-Analysis. <em>Journal of Sports Science and Medicine.</em></p>
<p>BALMER, Nigel J., et al.&nbsp;(2007). Influence of Crowd Noise on Refereeing Decisions in Association Football. <em>Journal of Sports Sciences.</em></p>
<p>JAMIESON, John P. (2010). The Home Field Advantage in Athletics: A Meta-Analysis. <em>Psychology of Sport and Exercise.</em></p>
<p>NEVILL, Alan M., &amp; HOLDER, Russell L. (1999). Home Advantage in Sport: An Overview of Studies on the Advantage of Playing at Home. <em>Sports Medicine.</em></p>
<p>POLLARD, Richard. (2006). Home Advantage in Soccer: Variations in its Magnitude and a Literature Review on Inter-Related Factors. <em>Journal of Sports Sciences.</em></p>
<p>SMITH, R. S., &amp; REILLY, Thomas. (1997). Influence of Travel on Performance in Sport: Implications for Performance and Recovery. <em>Sports Medicine.</em></p>
<p>NFL.com (2024). Team Stats — NFL Statistics. <a href="https://www.nfl.com/stats/team-stats/" class="uri">https://www.nfl.com/stats/team-stats/</a></p>
<p>Livesport.cz (2024). NFL — Results and statistics. <a href="https://www.livesport.cz/americky-fotbal/usa/nfl/" class="uri">https://www.livesport.cz/americky-fotbal/usa/nfl/</a></p>


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  <guid>https://www.analystsdiary.com/posts/sport/home-field-advantage.html</guid>
  <pubDate>Thu, 08 Jan 2026 00:00:00 GMT</pubDate>
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