Amanda Knapp
Basketball GM is a free basketball management simulation video game. The displayed ratings are not the real ratings, but rather estimates from scouts. These ratings are based on a player's current ratings, age, and coaching rank. The height rating is also included, which takes into account wingspan and standing reach. The overall rating of a player is an estimate of how good they might become, with elite players typically falling between 65-75. There is no definitive way to recalibrate player ratings, but users can increase the accuracy of ratings by raising the scouting expense level.
| Characteristics | Values |
|---|---|
| Overall Ratings | Based on scouts' estimates of players' skills and potential. |
| Potential Rating | An estimate of a player's future performance, influenced by simulated career arcs. |
| Height Rating | Includes wingspan and standing reach, impacting the game through simulations. |
| Player Development | Based on current ratings, age, and coaching rank. |
| Scouting | Increasing scouting expenses improves accuracy over three seasons. |
| Skill Symbols | Represent key skills, allowing quick assessment of players' strengths. |
| Position | Determined by linear regression, predicting positions based on real player ratings. |
| Customization | Users can create custom leagues and rosters, sharing them on platforms like Reddit. |
| Gameplay Goal | No definitive way to "win"; goals can include winning games, making money, or drafting successful players. |
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What You'll Learn
Player ratings are estimates from scouts
The player ratings in Basketball GM are estimates from scouts. These ratings are not the players' real ratings, but rather the scouts' opinions on how good the players are. The accuracy of these ratings depends on the scout's "Judging Player Ability" and "Judging Player Potential" attributes. The higher these attributes, the more accurate the ratings are likely to be.
To get more accurate ratings, you can increase the scouting expense level on the Team Finances page. However, this will not instantly show more accurate ratings; instead, it will gradually improve the accuracy over three seasons. Requesting a new report from a better scout can also provide more precise and up-to-date ratings.
In addition to the scouts' ratings, the game also provides a suitability analysis. This analysis compares the scouted player's star ratings in different positions and roles to those of players in your squad. It helps you assess how well the scouted player might fit into your team's structure and whether signing them would be necessary.
It's important to note that the star ratings ignore many factors that can affect a player's performance. Therefore, you shouldn't base your assessment of a player solely on these ratings. Other information in the scout report, such as the player's pros and cons, can provide a more comprehensive understanding of their abilities.
Each player in Basketball GM also has a potential ("pot") rating. This rating is an estimate from scouts about how good a player's overall rating might become. It is calculated by simulating career arcs and picking the 75th percentile OVR, so players are expected to exceed this rating 25% of the time.
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Increase scouting expenses for more accurate ratings
In Basketball GM, the displayed ratings are not the actual ratings. They are, instead, estimates from your scouts. The potential rating ("pot") is an estimate from your scouts about how good a player's overall rating might become. This is calculated by simulating career arcs for a player and selecting the 75th percentile ovr, so a player should exceed their potential rating 25% of the time.
To see more accurate ratings, increase the scouting expense level on the Team Finances page. This will have a gradual effect over three seasons, so more accurate ratings will not be instantly visible.
The height ("hgt") rating is not always proportional to the height in feet/inches of a player. This is because the height rating also includes wingspan and standing reach, and how much a player's height and length impact the game. The height rating is what is used in the simulations.
Additionally, the symbols next to a player's name represent their key skills. This is designed so that you can quickly take in this information at a glance. This has no impact on gameplay.
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Player development is based on current ratings, age, and coaching rank
In Basketball GM, player development is influenced by a combination of their current ratings, age, and the coaching rank assigned to them.
Each player has a potential ("pot") rating, which represents an estimate from scouts about how good a player's overall rating could become. However, this potential rating does not directly impact player development. Instead, it serves as a guideline, indicating that there is a 25% chance the player will reach or exceed this rating. The potential rating is calculated by simulating various career paths and selecting the 75th percentile overall rating.
Player development occurs during the preseason phase of each season, where players' ratings change based on their age. Generally, younger players tend to improve, while older players tend to decline. The game also introduces two new ratings: offensive IQ (OIQ) and defensive IQ (DIQ). These ratings are crucial for young players, as they tend to have lower initial values. As players gain experience, their basketball IQ improves, and their performance enhances due to their improved intelligence, allowing them to better utilise their skills.
Additionally, the game allows for the development of players from rookies to stars, giving players the opportunity to improve their skills and ratings over time. This development is influenced by the coaching rank, with better coaching potentially leading to more significant player improvements.
It's important to note that the displayed ratings are not the true ratings but are estimates from scouts. Increasing the scouting expense level can provide more accurate ratings over time.
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Height rating includes wingspan and standing reach
In Basketball GM, the height rating ("hgt") is not solely based on a player's height in feet and inches. It also takes into account their wingspan and standing reach, reflecting how much a player's height and length impact the game. This means that a player with a greater wingspan and standing reach may have a higher height rating, even if they are not the tallest in terms of height.
The height rating is an important factor in the game simulations and can influence a player's performance and overall rating. It is a way to quantify the advantages that taller players with longer wingspans may have in certain game situations. For example, a taller player with a longer wingspan may have an advantage in blocking shots or reaching for rebounds.
The height rating also adds a layer of strategy to the game. Players with a higher height rating may be more sought-after or valuable, as their height and length can provide an advantage in certain positions or play styles. Additionally, players with a higher height rating may have a larger impact on the court, even if their other skills or attributes are not as strong.
It is worth noting that the height rating is just one aspect of a player's overall rating, and it should be considered in conjunction with other factors such as their potential rating, skill symbols, and position. The height rating is a simplified way to incorporate the impact of height and length into the game, and it may not capture all the nuances of how height and wingspan affect basketball performance.
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Linear regression used to predict player positions
Basketball GM is a game that allows users to act as managers of basketball teams, making decisions about player recruitment, training, and finances. The game features a rating system that evaluates players based on their performance, potential, and physical attributes.
Linear regression is a statistical technique used to analyze the relationship between variables and make predictions. In the context of Basketball GM, linear regression can be applied to predict player positions by utilizing real player ratings. This involves building a model that can predict the positions of players based on their BBGM ratings. By comparing the BBGM ratings with the known positions of players, a model can be trained to understand the relationship between the ratings and positions.
To do this, a line of best fit is plotted on a scatter plot, with each point representing a player's BBGM rating and their corresponding real position. The line that minimizes the total distance from each point to the line is considered the best fit. This line can then be used to predict the position of players with similar BBGM ratings.
Additionally, linear regression can be used to analyze the impact of various factors on player performance. For example, it can help determine how defensive pressure affects shooting efficiency, allowing coaches to adjust their strategies accordingly. It can also be applied to player development, helping to understand how a player's ratings may change over time based on factors such as their current ratings, age, and coaching.
By utilizing linear regression, Basketball GM users can make more informed decisions about player recruitment, position adjustments, and strategy formulation, with the goal of improving their team's performance and winning more games.
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Frequently asked questions
The overall player ratings in Basketball GM are estimates from scouts. To see more accurate ratings, increase the scouting expense level on the Team Finances page. The height rating also includes wingspan and standing reach.
There is no way to recalibrate every player's rating to shift higher. The rating system is just ranged differently. Instead of elite players being 90-99 overall, they are 65-75 overall.
The symbols next to a player's name represent their key skills. This is designed so that you can glance at a player and easily take in that information. It has no impact on gameplay.
The position formula in Basketball GM uses linear regression to predict the real positions of players from their BBGM ratings. This model is then used to compute positions for players in your BBGM league, based on which numeric position a player is closest to.
