Field rating and course adjusted strokes gained for global golf analysis
A computing system retrieves historical hole-by-hole data for a plurality of holes for plurality of golf tournaments for a plurality of players. The historical hole-by-hole data includes a yardage of each hole and a par associated with each hole. The computing system clusters the plurality of holes into a plurality of clusters of hole types. The computing system generates a strokes gained metric for each hole type of the hole-by-hole data for each player. The computing system adjusts the strokes gained metric for each hole type based on a field of strength metric associated with each tournament. The field of strength metric represents a strength of a player field in a given tournament. The computing system generates a ranking of the plurality of players based on the adjusted strokes gained metric.
1. A method, comprising:
recording, by a computing system, tracking data corresponding to one or more motions of a plurality of players or one or more objects via at least one of: one or more cameras or one or more radio frequency identification (RFID) tags for a plurality of holes for a plurality of golf tournaments, wherein the tracking data comprises a distance of each of the plurality of holes and a par associated with each of the plurality of holes;
utilizing, by the computing system, a clustering algorithm to cluster the plurality of holes into a plurality of hole clusters based on a hole type corresponding to each of the plurality of holes;
analyzing, by the computing system, the tracking data for each of the plurality of holes and the corresponding hole type to generate a strokes gained metric for each of the hole type;
adjusting, by the computing system, the strokes gained metric for each hole type based on a field of strength metric associated with each of the plurality of golf tournaments, the field of strength metric representing a strength of a player field in a corresponding golf tournament; and
generating, by the computing system, a ranking of the plurality of players based on the adjusted strokes gained metric.
2. The method of claim 1 , wherein generating, by the computing system, the ranking of the plurality of players based on the adjusted strokes gained metric comprises:
generating a first ranking corresponding to a first adjusted strokes gained metric for a first hole type; and
generating a second ranking corresponding to a second adjusted strokes gained metric for a second hole type.
3. The method of claim 2 , wherein the adjusted strokes gained metric is a function of the first adjusted strokes gained metric and the second adjusted strokes gained metric.
4. The method of claim 1 , wherein generating, by the computing system, the ranking of the plurality of players based on the adjusted strokes gained metric comprises:
applying a decay factor to the strokes gained metrics, wherein the decay factor provides more weight to more recent strokes gained metrics.
5. The method of claim 1 , further comprising:
receiving, by the computing system, information for an upcoming tournament, wherein the information comprises hole data for each target hole and a target field of players;
accessing, by the computing system, adjusted strokes gained metrics for each target player in the target field of players; and
generating, by the computing system, a projected performance metric for each target player based on the hole data and the adjusted strokes gained metrics for each target player.
6. The method of claim 5 , wherein generating, by the computing system, the projected performance metric for each target player based on the hole data and the adjusted strokes gained metrics for each target player comprises:
generating a likelihood of each target player making a cut at the upcoming tournament.
7. The method of claim 5 , wherein generating, by the computing system, the projected performance metric for each target player based on the hole data and the adjusted strokes gained metrics for each target player comprises:
generating a projected adjusted strokes gained metric for each target player; and
ranking each target player based on the adjusted strokes gained metric.
8. A non-transitory computer readable medium comprising one or more sequences of instructions, which, when executed by one or more processors, causes a computing system to perform operations comprising:
recording, by the computing system, tracking data corresponding to one or more motions of a plurality of players or one or more objects via at least one of: one or more cameras or one or more radio frequency identification (RFID) tags for a plurality of holes for a plurality of golf tournaments, wherein the tracking data comprises a distance of each of the plurality of holes and a par associated with each of the plurality of holes;
utilizing, by the computing system, a clustering algorithm to cluster the plurality of holes into a plurality of hole clusters based on a hole type corresponding to each of the plurality of holes;
analyzing, by the computing system, the tracking data for each of the plurality of holes and the corresponding hole type to generate a strokes gained metric for each of the hole type;
adjusting, by the computing system, the strokes gained metric for each hole type based on a field of strength metric associated with each of the plurality of golf tournaments, the field of strength metric representing a strength of a player field in a corresponding golf tournament; and
generating, by the computing system, a ranking of the plurality of players based on the adjusted strokes gained metric.
9. The non-transitory computer readable medium of claim 8 , wherein generating, by the computing system, the ranking of the plurality of players based on the adjusted strokes gained metric comprises:
generating a first ranking corresponding to a first adjusted strokes gained metric for a first hole type; and
generating a second ranking corresponding to a second adjusted strokes gained metric for a second hole type.
10. The non-transitory computer readable medium of claim 9 , wherein the adjusted strokes gained metric is a function of the first adjusted strokes gained metric and the second adjusted strokes gained metric.
11. The non-transitory computer readable medium of claim 8 , wherein generating, by the computing system, the ranking of the plurality of players based on the adjusted strokes gained metric comprises:
applying a decay factor to the strokes gained metrics, wherein the decay factor provides more weight to more recent strokes gained metrics.
12. The non-transitory computer readable medium of claim 8 , further comprising:
receiving, by the computing system, information for an upcoming tournament, wherein the information comprises hole data for each target hole and a target field of players;
accessing, by the computing system, adjusted strokes gained metrics for each target player in the target field of players; and
generating, by the computing system, a projected performance metric for each target player based on the hole data and the adjusted strokes gained metrics for each target player.
13. The non-transitory computer readable medium of claim 12 , wherein generating, by the computing system, the projected performance metric for each target player based on the hole data and the adjusted strokes gained metrics for each target player comprises:
generating a likelihood of each target player making a cut at the upcoming tournament.
14. The non-transitory computer readable medium of claim 12 , wherein generating, by the computing system, the projected performance metric for each target player based on the hole data and the adjusted strokes gained metrics for each target player comprises:
generating a projected adjusted strokes gained metric for each target player; and
ranking each target player based on the adjusted strokes gained metric.
15. A system, comprising:
a processor; and
a memory having programming instructions stored thereon, which, when executed by the processor, causes the system to perform operations comprising:
recording tracking data corresponding to one or more motions of a plurality of players or one or more objects via at least one of: one or more cameras or one or more radio frequency identification (RFID) tags for a plurality of holes for a plurality of golf tournaments, wherein the tracking data comprises a distance of each of the plurality of holes and a par associated with each of the plurality of holes;
utilizing, a clustering algorithm to cluster the plurality of holes into a plurality of hole clusters based on a hole type corresponding to each of the plurality of holes;
analyzing the tracking data for each of the plurality of holes and the corresponding hole type to generate a strokes gained metric for each of the hole type;
adjusting the strokes gained metric for each hole type based on a field of strength metric associated with each of the plurality of golf tournaments, the field of strength metric representing a strength of a player field in a corresponding golf tournament; and
generating a ranking of the plurality of players based on the adjusted strokes gained metric.
16. The system of claim 15 , wherein generating the ranking of the plurality of players based on the adjusted strokes gained metric comprises:
generating a first ranking corresponding to a first adjusted strokes gained metric for a first hole type; and
generating a second ranking corresponding to a second adjusted strokes gained metric for a second hole type.
17. The system of claim 15 , wherein generating the ranking of the plurality of players based on the adjusted strokes gained metric comprises:
applying a decay factor to the strokes gained metrics, wherein the decay factor provides more weight to more recent strokes gained metrics.
18. The system of claim 15 , wherein the operations further comprise:
receiving information for an upcoming tournament, wherein the information comprises hole data for each target hole and a target field of players;
accessing adjusted strokes gained metrics for each target player in the target field of players; and
generating a projected performance metric for each target player based on the hole data and the adjusted strokes gained metrics for each target player.
19. The system of claim 18 , wherein generating the projected performance metric for each target player based on the hole data and the adjusted strokes gained metrics for each target player comprises:
generating a likelihood of each target player making a cut at the upcoming tournament.
20. The system of claim 18 , wherein generating the projected performance metric for each target player based on the hole data and the adjusted strokes gained metrics for each target player comprises:
generating a projected adjusted strokes gained metric for each target player; and
ranking each target player based on the adjusted strokes gained metric.