SlideShare une entreprise Scribd logo
1  sur  13
Statistics There are three kinds of lies.  Lies, Damned lies and Statistics.” Mark Twain (1835-1910)
“……..Don’t believe the last bit. Andy Pick (Brazil, 2010)
No Where to Hide Player Stats 	- Player Awareness :   	Where they THINK they are in 				relation to where they REALLY are Team Stats 	- Analyze performance 	- Compare with opposition  	- Measure improvement Organisation Stats - Value for money:  Players, Programmes and Investments
How Else Can We Measure Success	 Without stats there can be no start point and no finish line.   We need stats to measure our progress towards process goals Without stats how do we measure the success of our programs? Know that we are focusing on the right areas In short, if we are doing it right
Use of Player Stats Obvious one, to measure performance 	-  50’s and 100’s				-  Runs per over 	-  Strike rate:  batting and bowling		- Game winning performances Break down the players game to show both strengths and weaknesses 	-  Batting (strike rate): 	– spin versus seam 				-  left arm versus right arm 				- off spin versus leg spin 	-  Bowling:		- right hand versus right hand 				- first spell versus second spell 				- powerplay bowling
Use of Player Stats (continued) Highlight areas for attention when writing development programmes Selectors used to back up “gut feel” Tests to compare players to world’s best or other bench marks (Leading Associate and Affiliate players??)
Use of Team Stats Measure progress - year to year - average team scores : 	-for and against 		- wins and losses :		- home and away 					- batting first and second Evaluate Performance - break game into phases 		- good against seamers, weak against spin 		- wicket clusters Making of Game Plans - based on above, attack seamers to allow caution against spin 		- plan to consolidate after loss of a wicket Identify Areas for Future Development 		- work on playing spin 		- use tests to measure progress
Lets Look at Some Stats
Lets Look at Some Stats
Lets Look at Some Stats
To Help in the Future Team Stats – Batting  Individual power play stats Strike rate Dot ball percentage Boundary percentage Singles Full fifty overs used batting first Wickets in hand at the 20 over mark Average team scores batting first and second Wicket clusters lost (two wickets in two overs) Partnerships of 80+
To Help in the Future		 Team Stats – Bowling Individual power play stats Average team scores against when bowling first and second Wickets taken at 20 overs Wicket clusters taken (two wickets in two overs) Extras bowled (Including runs off extra ball) Maidens bowled Singles percentage Boundaries percentage Dot ball percentage
Questions?

Contenu connexe

En vedette

Health financing and Universal Health Coverage - What's gender got to do with...
Health financing and Universal Health Coverage - What's gender got to do with...Health financing and Universal Health Coverage - What's gender got to do with...
Health financing and Universal Health Coverage - What's gender got to do with...ReBUILD for Resilience
 
Andy Pick: Pathway Planning
Andy Pick: Pathway PlanningAndy Pick: Pathway Planning
Andy Pick: Pathway PlanningMilesBuesst
 
Final Year Presentation in EWU
Final Year Presentation in EWU Final Year Presentation in EWU
Final Year Presentation in EWU Robiul Islam
 
The ReBUILD programme and emerging themes for health systems strengthening in...
The ReBUILD programme and emerging themes for health systems strengthening in...The ReBUILD programme and emerging themes for health systems strengthening in...
The ReBUILD programme and emerging themes for health systems strengthening in...ReBUILD for Resilience
 
Avid parent night
Avid parent nightAvid parent night
Avid parent nightramruss01
 
Establishing a responsive and equitable health workforce post conflict & post...
Establishing a responsive and equitable health workforce post conflict & post...Establishing a responsive and equitable health workforce post conflict & post...
Establishing a responsive and equitable health workforce post conflict & post...ReBUILD for Resilience
 

En vedette (9)

Health financing and Universal Health Coverage - What's gender got to do with...
Health financing and Universal Health Coverage - What's gender got to do with...Health financing and Universal Health Coverage - What's gender got to do with...
Health financing and Universal Health Coverage - What's gender got to do with...
 
IEEEmadC
IEEEmadCIEEEmadC
IEEEmadC
 
Andy Pick: Pathway Planning
Andy Pick: Pathway PlanningAndy Pick: Pathway Planning
Andy Pick: Pathway Planning
 
Final Year Presentation in EWU
Final Year Presentation in EWU Final Year Presentation in EWU
Final Year Presentation in EWU
 
The ReBUILD programme and emerging themes for health systems strengthening in...
The ReBUILD programme and emerging themes for health systems strengthening in...The ReBUILD programme and emerging themes for health systems strengthening in...
The ReBUILD programme and emerging themes for health systems strengthening in...
 
Avid parent night
Avid parent nightAvid parent night
Avid parent night
 
Establishing a responsive and equitable health workforce post conflict & post...
Establishing a responsive and equitable health workforce post conflict & post...Establishing a responsive and equitable health workforce post conflict & post...
Establishing a responsive and equitable health workforce post conflict & post...
 
We can solve poverty in the UK endorsers
We can solve poverty in the UK endorsersWe can solve poverty in the UK endorsers
We can solve poverty in the UK endorsers
 
How can cities deliver inclusive growth?
How can cities deliver inclusive growth?How can cities deliver inclusive growth?
How can cities deliver inclusive growth?
 

Similaire à Andy Pick: Statistics Presentation

Senior Project Research Paper
Senior Project Research PaperSenior Project Research Paper
Senior Project Research Papercrissy498
 
NBA playoff prediction Model.pptx
NBA playoff prediction Model.pptxNBA playoff prediction Model.pptx
NBA playoff prediction Model.pptxrishikeshravi30
 
Statistics used in Cricket
Statistics used in Cricket Statistics used in Cricket
Statistics used in Cricket Makhan Dey
 
CLanctot_DSlavin_JMiron_Stats415_Project
CLanctot_DSlavin_JMiron_Stats415_ProjectCLanctot_DSlavin_JMiron_Stats415_Project
CLanctot_DSlavin_JMiron_Stats415_ProjectDimitry Slavin
 
Football predictions
Football predictionsFootball predictions
Football predictionsponton42
 
Pressure Index in Cricket
Pressure Index in CricketPressure Index in Cricket
Pressure Index in CricketIOSR Journals
 
IPL auction q1_q2.docx
IPL auction q1_q2.docxIPL auction q1_q2.docx
IPL auction q1_q2.docxAlivaMishra4
 
OTDK angol
OTDK angolOTDK angol
OTDK angolM J
 
Relations to salary and team contribution in NBA ( 17-18 Season )
Relations to salary and team contribution in NBA ( 17-18 Season )Relations to salary and team contribution in NBA ( 17-18 Season )
Relations to salary and team contribution in NBA ( 17-18 Season )상연 최
 
Data warehouse Soccer Project
Data warehouse Soccer Project Data warehouse Soccer Project
Data warehouse Soccer Project Sagar Singh
 
InstructionsCongratulations. You are a finalist in for a data a.docx
InstructionsCongratulations. You are a finalist in for a data a.docxInstructionsCongratulations. You are a finalist in for a data a.docx
InstructionsCongratulations. You are a finalist in for a data a.docxnormanibarber20063
 
7 Ways Sports Teams Win With Sports Analytics
7 Ways Sports Teams Win With Sports Analytics7 Ways Sports Teams Win With Sports Analytics
7 Ways Sports Teams Win With Sports AnalyticsTableau Software
 
SportsStatsDecal_Syllabus
SportsStatsDecal_SyllabusSportsStatsDecal_Syllabus
SportsStatsDecal_SyllabusKent Chen
 
Big Data BizViz Sports Analytics
Big Data BizViz Sports AnalyticsBig Data BizViz Sports Analytics
Big Data BizViz Sports AnalyticsBig Data BizViz LLC
 
Sports Analytics: Market Shares, Strategy, and Forecasts, Worldwide, 2015 to ...
Sports Analytics: Market Shares, Strategy, and Forecasts, Worldwide, 2015 to ...Sports Analytics: Market Shares, Strategy, and Forecasts, Worldwide, 2015 to ...
Sports Analytics: Market Shares, Strategy, and Forecasts, Worldwide, 2015 to ...Shrikant Mandlik
 
Sports Aanalytics - Goaltender Performance
Sports Aanalytics - Goaltender PerformanceSports Aanalytics - Goaltender Performance
Sports Aanalytics - Goaltender PerformanceJason Mei
 
BIG DATA, SPORTS AND GAME – A FUSIONAL TRIPTYCH - VALÉRY BOLLIER
BIG DATA, SPORTS AND GAME – A FUSIONAL TRIPTYCH - VALÉRY BOLLIERBIG DATA, SPORTS AND GAME – A FUSIONAL TRIPTYCH - VALÉRY BOLLIER
BIG DATA, SPORTS AND GAME – A FUSIONAL TRIPTYCH - VALÉRY BOLLIERBig Data Week
 

Similaire à Andy Pick: Statistics Presentation (20)

Senior Project Research Paper
Senior Project Research PaperSenior Project Research Paper
Senior Project Research Paper
 
NBA Player Statistics
NBA Player StatisticsNBA Player Statistics
NBA Player Statistics
 
NBA playoff prediction Model.pptx
NBA playoff prediction Model.pptxNBA playoff prediction Model.pptx
NBA playoff prediction Model.pptx
 
Statistics used in Cricket
Statistics used in Cricket Statistics used in Cricket
Statistics used in Cricket
 
CLanctot_DSlavin_JMiron_Stats415_Project
CLanctot_DSlavin_JMiron_Stats415_ProjectCLanctot_DSlavin_JMiron_Stats415_Project
CLanctot_DSlavin_JMiron_Stats415_Project
 
Football predictions
Football predictionsFootball predictions
Football predictions
 
MoneyBall
MoneyBallMoneyBall
MoneyBall
 
Pressure Index in Cricket
Pressure Index in CricketPressure Index in Cricket
Pressure Index in Cricket
 
Big data and MLB
Big data and MLBBig data and MLB
Big data and MLB
 
IPL auction q1_q2.docx
IPL auction q1_q2.docxIPL auction q1_q2.docx
IPL auction q1_q2.docx
 
OTDK angol
OTDK angolOTDK angol
OTDK angol
 
Relations to salary and team contribution in NBA ( 17-18 Season )
Relations to salary and team contribution in NBA ( 17-18 Season )Relations to salary and team contribution in NBA ( 17-18 Season )
Relations to salary and team contribution in NBA ( 17-18 Season )
 
Data warehouse Soccer Project
Data warehouse Soccer Project Data warehouse Soccer Project
Data warehouse Soccer Project
 
InstructionsCongratulations. You are a finalist in for a data a.docx
InstructionsCongratulations. You are a finalist in for a data a.docxInstructionsCongratulations. You are a finalist in for a data a.docx
InstructionsCongratulations. You are a finalist in for a data a.docx
 
7 Ways Sports Teams Win With Sports Analytics
7 Ways Sports Teams Win With Sports Analytics7 Ways Sports Teams Win With Sports Analytics
7 Ways Sports Teams Win With Sports Analytics
 
SportsStatsDecal_Syllabus
SportsStatsDecal_SyllabusSportsStatsDecal_Syllabus
SportsStatsDecal_Syllabus
 
Big Data BizViz Sports Analytics
Big Data BizViz Sports AnalyticsBig Data BizViz Sports Analytics
Big Data BizViz Sports Analytics
 
Sports Analytics: Market Shares, Strategy, and Forecasts, Worldwide, 2015 to ...
Sports Analytics: Market Shares, Strategy, and Forecasts, Worldwide, 2015 to ...Sports Analytics: Market Shares, Strategy, and Forecasts, Worldwide, 2015 to ...
Sports Analytics: Market Shares, Strategy, and Forecasts, Worldwide, 2015 to ...
 
Sports Aanalytics - Goaltender Performance
Sports Aanalytics - Goaltender PerformanceSports Aanalytics - Goaltender Performance
Sports Aanalytics - Goaltender Performance
 
BIG DATA, SPORTS AND GAME – A FUSIONAL TRIPTYCH - VALÉRY BOLLIER
BIG DATA, SPORTS AND GAME – A FUSIONAL TRIPTYCH - VALÉRY BOLLIERBIG DATA, SPORTS AND GAME – A FUSIONAL TRIPTYCH - VALÉRY BOLLIER
BIG DATA, SPORTS AND GAME – A FUSIONAL TRIPTYCH - VALÉRY BOLLIER
 

Andy Pick: Statistics Presentation

  • 1. Statistics There are three kinds of lies. Lies, Damned lies and Statistics.” Mark Twain (1835-1910)
  • 2. “……..Don’t believe the last bit. Andy Pick (Brazil, 2010)
  • 3. No Where to Hide Player Stats - Player Awareness : Where they THINK they are in relation to where they REALLY are Team Stats - Analyze performance - Compare with opposition - Measure improvement Organisation Stats - Value for money: Players, Programmes and Investments
  • 4. How Else Can We Measure Success Without stats there can be no start point and no finish line. We need stats to measure our progress towards process goals Without stats how do we measure the success of our programs? Know that we are focusing on the right areas In short, if we are doing it right
  • 5. Use of Player Stats Obvious one, to measure performance - 50’s and 100’s - Runs per over - Strike rate: batting and bowling - Game winning performances Break down the players game to show both strengths and weaknesses - Batting (strike rate): – spin versus seam - left arm versus right arm - off spin versus leg spin - Bowling: - right hand versus right hand - first spell versus second spell - powerplay bowling
  • 6. Use of Player Stats (continued) Highlight areas for attention when writing development programmes Selectors used to back up “gut feel” Tests to compare players to world’s best or other bench marks (Leading Associate and Affiliate players??)
  • 7. Use of Team Stats Measure progress - year to year - average team scores : -for and against - wins and losses : - home and away - batting first and second Evaluate Performance - break game into phases - good against seamers, weak against spin - wicket clusters Making of Game Plans - based on above, attack seamers to allow caution against spin - plan to consolidate after loss of a wicket Identify Areas for Future Development - work on playing spin - use tests to measure progress
  • 8. Lets Look at Some Stats
  • 9. Lets Look at Some Stats
  • 10. Lets Look at Some Stats
  • 11. To Help in the Future Team Stats – Batting Individual power play stats Strike rate Dot ball percentage Boundary percentage Singles Full fifty overs used batting first Wickets in hand at the 20 over mark Average team scores batting first and second Wicket clusters lost (two wickets in two overs) Partnerships of 80+
  • 12. To Help in the Future Team Stats – Bowling Individual power play stats Average team scores against when bowling first and second Wickets taken at 20 overs Wicket clusters taken (two wickets in two overs) Extras bowled (Including runs off extra ball) Maidens bowled Singles percentage Boundaries percentage Dot ball percentage