SYSTEMS AND METHODS FOR A DECISION ENGINE FOR DETERMINING DATA-POINT RECOMMENDATIONS

1 . A method for generating recommended user content related to a sporting event, the method comprising:

receiving, as input, digital sports content of one or more sporting events;

receiving, as input, sports event data for the one or more sporting events;

receiving, as input, a set of statistical odds for the one or more sporting event;

determining, using a decision engine, based on the received input digital sports content and sports event data, recommended statistical odds for one or more sporting events;

determining, using the decision engine, recommended contextual content based on the determined recommended statistical odds; and

outputting the recommended contextual content and recommended statistical odds to one or more users.

2 . The method of claim 1 , wherein the recommended statistical odds are determined from the set of statistical odds.

3 . The method of claim 1 , wherein the digital sports content includes: video highlights, news right videos, editorial, insights, graphic visuals, statistics of the one or more sporting events, and/or visual outputs of the one or more sporting events.

4 . The method of claim 1 , wherein the sports event data includes real time statistical data for the one or more sporting events.

5 . The method of claim 1 , further including:

receiving as input, a second set of sports event data for the one or more sporting events; a second set of digital sports content of the one or more sporting event, and a second set of statistical odds for the one or more sporting event;

determining, using the decision engine, a second set of recommended contextual content and second set of recommended statistical odds for the one or more sporting events; and

outputting the second set of recommended contextual content and second set of recommended statistical odds to the one or more users.

6 . The method of claim 1 , wherein the decision engine uses machine learning techniques to determine at least one of the recommended statistical odds or the recommended contextual content.

7 . The method of claim 1 , wherein the decision engine uses rules-based decision making techniques to determine at least one of the recommended statistical odds or the recommended contextual content.

8 . The method of claim 1 , further including:

determining at least two recommended contextual content outputs;

ranking the two recommended contextual content outputs based on determined relevance; and

outputting a higher ranked of the two recommended contextual content outputs.

9 . The method of claim 1 , wherein the recommended contextual content includes at least two types of content, the types of content including: video highlights, news right videos, editorial, insights, graphic visuals, statistics of the one or more sporting events, and/or visual outputs of the one or more sporting events; and

pairing the at least two types of content together for output.

10 . The method of claim 1 , wherein the recommended contextual content includes a visual graphic created to depict the received sports event data.

11 . A system for associating a player with a team in a sports event, the system comprising:

a memory configured to store processor-readable instructions; and

a processor operatively connected to the memory, and configured to execute the instructions to perform operations comprising:

receiving, as input, digital sports content of one or more sporting events;

receiving, as input, sports event data for the one or more sporting events;

receiving, as input, a set of statistical odds for the one or more sporting event;

determining, using a decision engine, based on the received input digital sports content and sports event data, recommended statistical odds for one or more sporting events;

determining, using the decision engine, recommended contextual content based on the determined recommended statistical odds; and

outputting the recommended contextual content and recommended statistical odds to one or more users.

12 . The system of claim 11 , wherein the recommended statistical odds are determined from the set of statistical odds.

13 . The system of claim 11 , wherein the digital sports content includes: video highlights, news right videos, editorial, insights, graphic visuals, statistics of the one or more sporting events, and/or visual outputs of the one or more sporting events.

14 . The system of claim 11 , wherein the sports event data includes real time statistical data for the one or more sporting events.

15 . The system of claim 11 , wherein the operations further comprise:

receiving as input, a second set of sports event data for the one or more sporting events; a second set of digital sports content of the one or more sporting event, and a second set of statistical odds for the one or more sporting event;

determining, using the decision engine, a second set of recommended contextual content and second set of recommended statistical odds for the one or more sporting events; and

outputting the second set of recommended contextual content and second set of recommended statistical odds to the one or more users.

16 . The system of claim 11 , wherein the decision engine uses machine learning techniques to determine at least one of the recommended statistical odds or the recommended contextual content.

17 . The system of claim 11 , wherein the decision engine uses rules-based decision making techniques to determine at least one of the recommended statistical odds or the recommended contextual content.

18 . A non-transitory computer readable medium configured to store processor-readable instructions, wherein when executed by a processor, the instructions perform operations comprising:

receiving, as input, digital sports content of one or more sporting events;

receiving, as input, sports event data for the one or more sporting events;

receiving, as input, a set of statistical odds for the one or more sporting event;

determining, using a decision engine, based on the received input digital sports content and sports event data, recommended statistical odds for one or more sporting events;

determining, using the decision engine, recommended contextual content based on the determined recommended statistical odds; and

outputting the recommended contextual content and recommended statistical odds to one or more users.

19 . The non-transitory computer readable medium of claim 18 , wherein the recommended statistical odds are determine from the set of statistical odds.

20 . The non-transitory computer readable medium of claim 18 , wherein the digital sports content includes: video highlights, news right videos, editorial, insights, graphic visuals, statistics of the one or more sporting events, and/or visual outputs of the one or more sporting events.