news 6 days ago

STATS Uses Advanced Analytics to Recognize Baseball’s Best Hitters at the Break

The Associated Press

CHICAGO--(BUSINESS WIRE)--Jul 10, 2019--

With the MLB All-Star break in full swing, STATS, the revolutionary leader in sports AI, used proprietary AI-generated data and algorithms to reveal its own mid-season Silver Slugger Awards. Using STATS’ unique Run Value Added (RVA) methodology for evaluating the quality of a batter’s action on each pitch, STATS created a first-team roster of the league’s best sluggers.

STATS’ RVA uses expected-result values for counts, pitch locations and advanced pitch information to dissect every pitch that is thrown and measure how the average major league hitter would react through AI and data. Results are then compared to the actual result to give a fair and even RVA ranking for each hitter.

“Essentially, we are quantifying some of the knowledge that broadcasters and analysts talk about on TV,” STATS AI Data Analyst Kyle Cunningham-Rhoads said. “You’ve probably heard the color commentator say, ‘that’s a really tough pitch to handle.’ We can now back that up with data to show just how tough it was. The data is context-neutral and reflects the difference between ballparks. For example, a right-handed hitter at bat in Colorado would be expected to have traditional stats that look a full 10 percent better than a right-handed hitter playing in Washington. STATS RVA reflects those differences.”

STATS’ Mid-Season Silver Slugger First Team Players include:

LEAGUE

POSITION

PLAYER

TEAM

RVA

AL

C

Gary Sanchez

NYY

17

AL

1B

Carlos Santana

CLE

21.7

AL

2B

Yoan Moncada

CWS

15.3

AL

3B

Matt Chapman

OAK

17.8

AL

SS

Xander Bogaerts

BOS

19.9

AL

OF

Mike Trout

LAA

43.9

AL

OF

Mookie Betts

BOS

23.9

AL

OF

Joey Gallo

TEX

21.9

AL

DH

J.D. Martinez

BOS

24

NL

C

Yasmani Grandal

MIL

12.2

NL

1B

Josh Bell

PIT

25.8

NL

2B

Howie Kendrick

WAS

21.4

NL

3B

Anthony Rendon

WAS

35.5

NL

SS

Dansby Swanson

ATL

19.8

NL

OF

Cody Bellinger

LAD

41.4

NL

OF

Christian Yelich

MIL

31

NL

OF

Ronald Acuna Jr.

ATL

24.5

Throughout the All-Star week, STATS is sharing proprietary data and algorithms to shed light on this year’s defining players and the work that STATS provides for teams, media and broadcasts on a daily basis throughout the season. On Monday, STATS Advanced Heat Maps were used to evaluate All-Star starters, with a deeper breakdown of George Springer, Willson Contreras and Mike Trout. Yesterday, STATS took to Twitter (@StatsBySTATS) to share the STATS Advanced Heat Map of any player requested. Today, STATS is sharing advanced analytics for more players, examining metrics like Discipline+, Contact+, BIP+ and RVAA+. Finally, on Friday, STATS will share a recap of Insights from the All-Star Game, highlighting some of the exciting tidbits shared with customers and fans throughout the Midsummer Classic.

STATS data and AI solutions support broadcast, media and team performance solutions throughout the MLB season. For more information visit: https://www.stats.com/.

About STATS

STATS collects the richest sports data in the world and transforms it through revolutionary AI to unlock the past, present and future of everything sport. STATS’ innovative solutions engage more than three billion fans annually and are trusted by sports media, technology companies, sportsbooks, fantasy, teams and leagues worldwide. The pioneer of live sports data, STATS continues to speed innovation in the industry with AutoSTATS, the first-ever AI-powered technology to collect more sports data from any television broadcast than ever possible. STATS combines the industry’s fastest and most accurate data platform with video analysis, sports content and research, player tracking, and the latest in AI and machine learning to provide unparalleled fan engagement, betting and team performance solutions. For more information, visit www.stats.com and follow STATS on Twitter @STATS_Insights.

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SOURCE: STATS

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PUB: 07/10/2019 02:55 PM/DISC: 07/10/2019 02:55 PM

http://www.businesswire.com/news/home/20190710005792/en