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The relevance of a player describes how much attention you should pay to this player. You should pay more attention to a player with a high relevance than to a player with a low relevance.
To distinguish between outfield players and goalkeepers we use different color bars, green and blue respectively.
We determine two values for the player’s relevance. On the one hand the minimum relevance (dark bar), which is calculated based on the current (known) skills of the player and on the other hand the maximum relevance (light bar) which is the maximum possible relevance of the player.
As you collect more information about your player, the minimum and maximum relevance will get closer to each other. In the process, the minimum relevance may stay at the same level or increase, while the maximum relevance can decrease or stay at the same level.
The relevance is determined by using different factors. Altogether we use a rather complex formula including several case differentiations. Nevertheless here are the different factors that are used: We use …
Additionally …
Based on this information we calculate the minimum and maximum relevance and display them as the relevance range.
The formula can be found here (written in PHP): https://github.com/mackshot/hattrick-youthclub/blob/master/relevance.php
There is no general answer to this question. Especially since it is important to distinguish between the minimum and maximum relevance here. Scouted players have a very high maximum relevance and a very low minimum relevance, in the beginning because only a small amount of information is available. Basically, the closer the minimum relevance is to the maximum relevance, the higher is the meaningfulness of the relevance. So you should try (as always) to reveal as much information, as possible, about your player by fielding him whenever possible.
After a decent amount of time, when you have revealed several bits of information about your players and the minimum and maximum relevance have got closer together, it is rather simple to identify who is of great interest and who is not.
Danish
Hvilket relevansniveau skal jeg give mere opmærksomhed til en spiller?
Der er ikke noget generelt svar på dette spørgsmål. Især da det er vigtigt at skelne mellem mindste og maksimale relevans her. Scouted spillere har en meget høj maksimal relevans og en meget lav minimumsrelevans i starten, fordi kun en lille mængde information er tilgængelig. Som basis er at jo tættere den mindste relevans er for den maksimale relevans, jo højere er relevansen af betydning. Så du bør prøve (som altid) at afsløre så meget information som muligt om din spiller ved at markere ham, når det er muligt.
Efter en anstændig tid, når du har afsløret flere oplysninger om dine spillere, og den minimale og maksimale relevans er kommet tættere på hinanden, er det ret nemt at identificere, hvem der er af stor interesse, og hvem der ikke er.
It is impossible for us to consider all possible aspects in our calculation and thus we have to make some approximations, assumptions and simplifications.
In general our calculation method favors Multi-Skillers. For instance, a player who can get inadequate in two skills, can have a higher relevance than a player who can get solid in one skill and have pretty poor remaining skills. Such Mono-Skillers may get a lower relevance rating, just as some users would rate them personally. Please keep that in mind. We want to compensate this problem, as mentioned above, by slightly reducing the relevance for multi-skillers in general.
Danish
Hvad overvejes ikke og / eller hvad skal jeg vide mere?
Det er umuligt for os at overveje alle mulige aspekter i vores beregning, og derfor skal vi lave nogle tilnærmelser, antagelser og forenklinger.
Generelt foretrækker vores beregningsmetode Multi-Skillers. For eksempel kan en spiller, der kan blive utilstrækkelig i to færdigheder, have en højere relevans end en spiller, der kan blive solid i en færdighed og have temmelig dårlige resterende færdigheder. Sådanne Mono-Skillers kan få en lavere relevans rating, ligesom nogle brugere ville bedømme dem personligt. Vær opmærksom på dette. Vi vil gerne kompensere for dette problem som nævnt ovenfor ved at reducere relevansen for multi-skillere generelt.