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2024 MotoGP Round 03 The Americas Analytics Package

Provided By: Apex146

2024 MotoGP Round 03 The Americas Analytics Package

Provided By: Apex146

Advanced pre-event and post-event analytical data for the MotoGP Red Bull Grand Prix of The Americas 2024. Includes unique athlete performance rankings, probabilities, and analysis. In-season analysis is not applicable to first race of the season. This package is for a single race.

Product offers

The following offers are available for this product. Choose an offer to view the pricing and access duration options for the offer. Select an offer and continue to subscribe. Your subscription begins on the date that you accept the offer. Additional taxes or fees might apply.

Public offer

Payment schedule: Upfront payment | Offer auto-renewal: Not supported
$1,950 for 12 months

Overview

Overview

The following content is included in the MotoGP pre-event and post-event package. Pre-event data sets will be available within two days following the previous race. Post-event data sets will be available within a timely manor of the race conclusion. This time frame can vary depending on how quickly the governing body releases the official results.


Pre-Event Data

Analysis conducted prior to a race weekend determines historical performance at a specific venue and in-season form. In this category, the following data points are available:

  • Performance index rankings from the previous year at the same venue
  • In-season average performance index rankings
  • In-season performance index trajectory rankings
  • Head-to-Head Probabilities
  • Outright Winning Probabilities
  • Post-Qualifying updates for Head-to-Head Probabilities
  • Post-Qualifying updates for Outright Winning Probabilities

Post-Event Data

Analysis conducted after a race to analyze athlete performance. In this category, the following data feeds are available:

  • Athlete performance index % improvement between current race and in-season averages
  • Athlete performance index % improvement between current race and last year at the same venue
  • Performance index rankings amongst athletes for the specific race
  • Performance index rankings amongst athletes within quartile laps of the specific race
  • Head-to-Head results
  • Outright Winning results

Apex146 Performance Index Definitions

Please Note: For all performance index rankings and trajectories, a smaller number is better.

Qualifying Position

The starting position of an athlete which is determined by the Saturday qualifying round(s).

Final Position

The order in which athletes finish the event. Pre-race/in-race penalties are taken into account for final position.

Net Movement

Measures an athlete pure displacement through the entire race relative to starting and finishing position. This reflects how many positions an athlete gained or lost in total.

Net vs Volatility

Measures the balance between the total number of times an athlete changes position on a lap basis vs the final position change from start to finish. A balance between net and volatility is preferred as it reflects the ability of an athlete to overtake and hold a position without a back and forth battle.

Speed

A measure of how fast an athlete can navigate through a given number of laps or sectors. Calculated on both a sector level and lap level for MotoGP.

Consistency

A measure of variance in lap times and sector times each rider stays within throughout the entirety of the race. Calculated on both a sector level and lap level for MotoGP.

Efficiency

A measure of athlete performance throughout a race relative to how hard the athlete had to work to finish in the position achieved.

Holeshot

A measure of how well an athlete can get off the starting grid and set a competitive pace within the first sector of the race.

Quartile Advantage

A measure of athlete performance in terms of quartiles within an event to better understand how an athlete executes over the course of a race. For example, if a race is 20 laps, the first quartile will be indexed including the first 5 laps of the race and the second quartile will be indexed over laps 6 through 10.

% Improvement

Measures the improvement or decline in performance across indexes in the form of a percent. A negative % reflects a decline in performance whereas a positive % reflects an improvement.

Trajectory

Refers to the rate of change in a specific performance index. This helps to identify who is on a rise, decline or plateau in performance. Trajectory values have been scaled for easier interpretation. A smaller trajectory value identifies improvement whereas a larger value depicts a decline in performance. A value close to zero resembles a plateau in performance.

Finish Position Key

If an athlete does not have a final position in an event, one of the following results will be listed

DNQ = Did not qualify

DNS = Did not start race

DNF = Did not finish race

JSON file structure

Please download and view sample files available with this offer.

Data Collection

All source data was responsibly aggregated from publicly accessible sources.


Company Overview

Apex146 offers analytical and technical resources supporting the action sports industry. A proprietary athlete performance indexing platform sits at the core of everything we produce from AI driven content to event simulations and in-depth athlete statistics. Apex146's partnership with AWS has unlocked an efficient and scalable architecture that delivers against market demands.

Platform Pillars 1. Raw Data Ingestion and Performance Index Design 2. Performance Indexing Through Machine Learning 3. Race Modeling Through High Frequency Race Simulations 4. Telling The Story Through Gen AI

The Apex146 team currently covers Formula 1, MotoGP (TM), MXGP, UCI Downhill Mountain Biking, Grand Tour Cycling and FIS World Cup Skiing.

Provided By
Fulfillment Method
AWS Data Exchange

Data sets (1)

You will receive access to the following data sets

Revision access rules
All historical revisions | All future revisions
Name
Type
Data dictionary
AWS Region
2024-motogp-round-03-the-americas
Not included
US East (Ohio)

Data dictionaries and samples

Sample data is for evaluation purposes only and may not accurately represent the actual content of the product.

Name
Resource
File type
File size
Description
2024-motogp-round-03-the-americas
Data set
-
-
-
motogp_h2h_winning_post_race.json
Sample
application/json
-
motogp_outright_winning_post_race.json
Sample
application/json
-
motogp_rank_prev_season_historical_pre_race.json
Sample
application/json
-
motogp_trajectory_rank_inseason_pre_race.json
Sample
application/json
-
motogp_h2h_winning_pre_race.json
Sample
application/json
-
motogp_outright_winning_pre_race.json
Sample
application/json
-

Usage information

By subscribing to this product, you agree that your use of this product is subject to the provider's offer terms including pricing information and Data Subscription Agreement . Your use of AWS services remains subject to the AWS Customer Agreement  or other agreement with AWS governing your use of such services.

Support information

Support contact email address
Support contact URL
Refund policy
The only refund available is in the case of a race cancellation and the race does not start.
General AWS Data Exchange support