Predicting sports outcomes is customarily a multi-faceted undertaking. It draws from various means to anticipate the twists/turns of events to uncover probable winners. In this article, we look at a few standard approaches.
Statistical Analysis
Every reader probably assumed this would be the top approach in determining who will win an athletic contest and how much. That much is obvious because of how much stats have become integral to the sports-watching experience. Nowadays, in virtually every broadcast of a high-level sporting event, the audience gets bombarded with relevant data about said game.
These info sets use reference player/team statistics, past results, and various intricate aspects of previous contests, such as shots on goal in football or balls turned over in basketball. These bits of information get sourced from specialized analytic platforms. They then get cleaned and preprocessed to ensure accuracy.
People can use the accumulated data easily available online, entering these data sets into prepared statistical models that utilize various methods like logical regression to generate a highly probable outcome. In most cases, advanced models require training on historical results to soak in relationships between variables and discover common patterns.
Momentum
Most analysts tasked with guessing who will win first look to recent form. A run of positive results indicates that a team may be firing on all cylinders and should perform well in upcoming matches. The overall stats may not support such a claim, but analysts know that momentum can sometimes provide more valuable insights. It tells them that psychological factors like team cohesion, motivation, and confidence are high. On the flip side, a team that has not done well in the past few outings can experience pressure and frustration to turn things around quickly, and they can have a negative impact.
Computer Simulations
Computer simulations are nothing new. Boxing fans may remember the 1970 Super Fight between Rocky Marciano and Muhammad Ali. At the time, this was a groundbreaking sports entertainment endeavor thought of by Murray Woroner, who solicited opinions from boxing experts and software running on an NCR 315 Data Processing System to determine that Rocky Marciano would beat Muhammad Ali if the two had met in a boxing ring in their primes. The film spurred many controversies, with Ali filing a defamation lawsuit against Woroner.
Today, computer simulations are fairly standard, and even fans run them on established sports games like ones from the FIFA franchise. They pit desired teams against each other, each already featuring players with distinctly set attributes, letting the software figure out who should come up on top. It is best to run many simulations and see if one side is the winner more often than the other. If that happens, there may be something firm to base a prediction on. One or a few simulations need to provide a deeper probability pool.
Public Betting Patterns
Retail and online bookmakers implement high-end algorithms that get fed mountains of statistical data to determine an event’s probability. In a sense, this is similar to statistical analysis.
However, laypeople need to learn that betting odds also get set, factoring in the wagering public’s sentiment. In other words, who are the people wagering on? Line movements substantially affect betting odds, and even the first online bookie ever is swift to react to sizeable amounts of cash coming in on one side, as evident in this EveryGame review, an analysis of the Internet’s first bookmaker.
Still, everyone should be aware that sudden shifts in betting odds, accompanied by a heavy betting volume, may indicate a coordinated action to exploit market mispricing.
Historical Trends
Sometimes, pundits also look to historical head-to-head records to say who shall triumph. While this is not the most scientific method, and some equate it to superstition, it can play a role in winning chances. If not for anything else, it can have a psychological effect.
For example, Real Madrid could not defeat Deportivo La Coruna at the Estadio Riazor from 1993 to 2010. Once they did so in January 2010, they have not lost at the Riazor Stadium since. Yes, the La Coruna of today is different from the late 1990s and early/mid 2000s, but still. The point stands. When Real Madrid finally won at the Riazor, they never lost again.
Evaluation of External Factors
Weather conditions can affect the playing surface, player comfort, the potential for injury, ball movement, and more. That is the first external factor that comes to mind for most people, but many exist. Others are fixture congestion that can lead to player fatigue, paired with tight travel schedules or long destination travel that influence player readiness and performance.
Off-field distractions, like scandals, contract negotiations, media security, personal issues, manager moods and recent tactics, home-field advantage, fan support, and atmosphere, undoubtedly impact outcomes. So, all these things must be considered to determine who is more likely to beat whom. And know that all sportsbooks with great odds look at these elements, considering them when constructing their pre-match coefficients.
Some may too consider star alignment (astrology) as an external factor, but we do not give it any weight.