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TRENDING TABLE
Trending Table. LAST UPDATE: May 31, 2021. NIGHT MODE. DAY MODE. The Data Golf Trending Table provides recent performance trends for golfers competing on any OWGR-sanctioned tour or in elite amateur events. To be included, a golfer must have played his most recent round within the last 4 weeks, and 20 rounds within the last 4 months;for
LIVE PREDICTIVE MODEL Data-driven webpage providing updates throughout every PGA TOUR event with live finish probabilities and hole-by-hole scoring averages. HISTORICAL EVENT DATA Explore data from every PGA TOUR event since 2010 including strokes gained leaderboards, strokes gained decompositions, and best performers at the event.COURSE HISTORY TOOL
PGA Course History Tool. HOW WE DEFINE "COURSE HISTORY". UPDATED: May 31, 2021. NIGHT MODE. DAY MODE. Generally speaking, a golfer's 'course history' is some indicator of how they have performed historically at a given course. We analyze a golfer's course history by looking at their average strokes-gained relative to expectation at the relevant PREDICTIVE MODEL METHODOLOGY where i indexes the golfer and j indexes a tournament-round (or a round played on a specific course for multi-course tournaments), \( ormalsize S_{ij} \) is the raw score in a given tournament-round, \( ormalsize \mu_{i}(t) \) is some player-specific function of "golf time" (i.e. the sequence of rounds for a golfer), and \( ormalsize \delta_{j} \) is the coefficient from a dummy variable DATA GOLFPREDICTIVE MODELINTERACTIVESNBSPSCRATCH TOOLS&NBSPNBSPBLOGSCONTACTLOGIN/REGISTER Data Golf represents the intersection of applied statistics, data visualization, web development, and, of course, golf. The goal is to provide unique perspectives on the game that are both accessible to the casual fan and insightful for dedicated golfers.TRENDING TABLE
Trending Table. LAST UPDATE: May 31, 2021. NIGHT MODE. DAY MODE. The Data Golf Trending Table provides recent performance trends for golfers competing on any OWGR-sanctioned tour or in elite amateur events. To be included, a golfer must have played his most recent round within the last 4 weeks, and 20 rounds within the last 4 months;for
LIVE PREDICTIVE MODEL Data-driven webpage providing updates throughout every PGA TOUR event with live finish probabilities and hole-by-hole scoring averages. HISTORICAL EVENT DATA Explore data from every PGA TOUR event since 2010 including strokes gained leaderboards, strokes gained decompositions, and best performers at the event.COURSE HISTORY TOOL
PGA Course History Tool. HOW WE DEFINE "COURSE HISTORY". UPDATED: May 31, 2021. NIGHT MODE. DAY MODE. Generally speaking, a golfer's 'course history' is some indicator of how they have performed historically at a given course. We analyze a golfer's course history by looking at their average strokes-gained relative to expectation at the relevant PREDICTIVE MODEL METHODOLOGY where i indexes the golfer and j indexes a tournament-round (or a round played on a specific course for multi-course tournaments), \( ormalsize S_{ij} \) is the raw score in a given tournament-round, \( ormalsize \mu_{i}(t) \) is some player-specific function of "golf time" (i.e. the sequence of rounds for a golfer), and \( ormalsize \delta_{j} \) is the coefficient from a dummy variableCOURSE FIT TOOL
Accordia Golf Narashino CC Albany Augusta National Golf Club Bay Hill Club & Lodge Bethpage Black Club de Golf Chapultepec Colonial Country Club Corales Golf Club Country Club of Jackson Detroit Golf Club East Lake Golf Club El Camaleon Golf Club Firestone CC (South) Glen Abbey GC Golf Club of Houston Grand Reserve Country Club Hamilton Golf & Country Club Harbour Town Golf Links Harding FAQ - COMING-SOON || DATAGOLF.COM For example, suppose we predicted a matchup between golfer A and golfer B to have outcome probabilities of: A wins with probability 30%, B wins with probability 61%, and they tie with probability 9%. Expected value from betting on A at odds of 2.8 would be equal to 0.3 * (2.8-1) - 0.61 = -0.07.DATA GOLF RANKINGS
Data Golf's version of the World Golf Rankings. The Data Golf Rankings are a ranking of the best golfers in the world according to our model. They are determined by averaging the field-strength adjusted scores of each golfer across professional and amateur tournaments, withLOG IN - DATA GOLF
Log In to data golf . Email. Password MY MODEL - DATA GOLF The orange shape is your course fit profile, and the accompanying player-specific estimates will be shown in Column F below. The blue shape is the Data Golf profile, which we calculate using historical data and can be explored in greater detail here . Lastly, the black shape. white shape. is the course fit profile of the typical PGA Tourcourse.
HISTORICAL EVENT DATA Explore data from every PGA TOUR event since 2010 including strokes gained leaderboards, strokes gained decompositions, and best performers at the event.FIELD UPDATES
Palmetto Championship at Congaree field updates, tee times, and fantasy golf salaries. MATCH-UP BETTING TOOL PGA Match-Up/3-Ball Tool. Lucas Glover added to the field. Jimmy Walker added to the field. Lucas Glover removed from the field. Lucas Glover, Kyle Stanley, Russell Knox added to the field. Vijay Singh, Kevin Na removed from the field. API ACCESS - DATA GOLF The data golf API is set of simple endpoints/urls that allow you to programmatically retrieve our data. The goal is to provide a more efficient way for you to interact with and integrate our data into your models/applications. 1. General Use — updated field lists, tee times, DFS salaries. EUROPEAN TOUR PREDICTIONS Because this is a mixed event, we won't be providing finish position predictions. For simulating matchups and props, we've assumed that 45 of the 78 men will make the top-65 cut. HOW SHARP ARE BOOKMAKERS? The simplest method for doing so is to divide the implied probability by the sum of implied probabilites in the bet. For example, suppose a bookmaker offered odds of 55% and 47% for a matchup where ties are void: the margin-free probabilities would then simply be 55/ (55+47) =53.9% and 46.1%.
WHO PLAYS BEST AT TOUGH TRACKS? Ian Poulter upped his game the most at difficult venues on the PGATOUR from 2011-2017, beating his baseline strokes-gained by an average of 0.34 shots per round at these courses. This fits with the narrative Tom Watson laid out at the beginning of the article: Poulter is knownas a
DATA GOLFPREDICTIVE MODELINTERACTIVESNBSPSCRATCH TOOLS&NBSPNBSPBLOGSCONTACTLOGIN/REGISTER Data Golf represents the intersection of applied statistics, data visualization, web development, and, of course, golf. The goal is to provide unique perspectives on the game that are both accessible to the casual fan and insightful for dedicated golfers. HISTORICAL EVENT DATA Explore data from every PGA TOUR event since 2010 including strokes gained leaderboards, strokes gained decompositions, and best performers at the event.COURSE HISTORY TOOL
PGA Course History Tool. HOW WE DEFINE "COURSE HISTORY". UPDATED: May 31, 2021. NIGHT MODE. DAY MODE. Generally speaking, a golfer's 'course history' is some indicator of how they have performed historically at a given course. We analyze a golfer's course history by looking at their average strokes-gained relative to expectation at the relevantTRENDING TABLE
Trending Table. LAST UPDATE: May 31, 2021. NIGHT MODE. DAY MODE. The Data Golf Trending Table provides recent performance trends for golfers competing on any OWGR-sanctioned tour or in elite amateur events. To be included, a golfer must have played his most recent round within the last 4 weeks, and 20 rounds within the last 4 months;for
COURSE FIT TOOL
Accordia Golf Narashino CC Albany Augusta National Golf Club Bay Hill Club & Lodge Bethpage Black Club de Golf Chapultepec Colonial Country Club Corales Golf Club Country Club of Jackson Detroit Golf Club East Lake Golf Club El Camaleon Golf Club Firestone CC (South) Glen Abbey GC Golf Club of Houston Grand Reserve Country Club Hamilton Golf & Country Club Harbour Town Golf Links Harding LIVE PREDICTIVE MODEL Data-driven webpage providing updates throughout every PGA TOUR event with live finish probabilities and hole-by-hole scoring averages. EUROPEAN TOUR PREDICTIONS Any 'remainder-of-event' simulations account for the fact that this is a 54-hole event, even if the accompanying text indicates otherwise. PREDICTIVE MODEL METHODOLOGY where i indexes the golfer and j indexes a tournament-round (or a round played on a specific course for multi-course tournaments), \( ormalsize S_{ij} \) is the raw score in a given tournament-round, \( ormalsize \mu_{i}(t) \) is some player-specific function of "golf time" (i.e. the sequence of rounds for a golfer), and \( ormalsize \delta_{j} \) is the coefficient from a dummy variable LIVE TOURNAMENT STATS Charles Schwab Challenge — Colonial Country Club. All strokes-gained statistics are as defined on the PGATOUR website . Proximity to the pin of all shots hit from the fairway (par 3s tee shots included) or intermediate rough from a distance greater than 50 yards. Shots deemedto be layups or
DG FIELD STRENGTH
These values are expressed in units of strokes better (+) or worse (-) per round than the average PGA Tour field. 'AVERAGE' is the average skill, 'TOP 25%' is the average skill of the top 25% of the field, and the remaining columns are defined analogously (according to the column header). 'DIFFICULTY TO WIN' columns are estimates of the DATA GOLFPREDICTIVE MODELINTERACTIVESNBSPSCRATCH TOOLS&NBSPNBSPBLOGSCONTACTLOGIN/REGISTER Data Golf represents the intersection of applied statistics, data visualization, web development, and, of course, golf. The goal is to provide unique perspectives on the game that are both accessible to the casual fan and insightful for dedicated golfers. HISTORICAL EVENT DATA Explore data from every PGA TOUR event since 2010 including strokes gained leaderboards, strokes gained decompositions, and best performers at the event.COURSE HISTORY TOOL
PGA Course History Tool. HOW WE DEFINE "COURSE HISTORY". UPDATED: May 31, 2021. NIGHT MODE. DAY MODE. Generally speaking, a golfer's 'course history' is some indicator of how they have performed historically at a given course. We analyze a golfer's course history by looking at their average strokes-gained relative to expectation at the relevantTRENDING TABLE
Trending Table. LAST UPDATE: May 31, 2021. NIGHT MODE. DAY MODE. The Data Golf Trending Table provides recent performance trends for golfers competing on any OWGR-sanctioned tour or in elite amateur events. To be included, a golfer must have played his most recent round within the last 4 weeks, and 20 rounds within the last 4 months;for
COURSE FIT TOOL
Accordia Golf Narashino CC Albany Augusta National Golf Club Bay Hill Club & Lodge Bethpage Black Club de Golf Chapultepec Colonial Country Club Corales Golf Club Country Club of Jackson Detroit Golf Club East Lake Golf Club El Camaleon Golf Club Firestone CC (South) Glen Abbey GC Golf Club of Houston Grand Reserve Country Club Hamilton Golf & Country Club Harbour Town Golf Links Harding LIVE PREDICTIVE MODEL Data-driven webpage providing updates throughout every PGA TOUR event with live finish probabilities and hole-by-hole scoring averages. EUROPEAN TOUR PREDICTIONS Any 'remainder-of-event' simulations account for the fact that this is a 54-hole event, even if the accompanying text indicates otherwise. PREDICTIVE MODEL METHODOLOGY where i indexes the golfer and j indexes a tournament-round (or a round played on a specific course for multi-course tournaments), \( ormalsize S_{ij} \) is the raw score in a given tournament-round, \( ormalsize \mu_{i}(t) \) is some player-specific function of "golf time" (i.e. the sequence of rounds for a golfer), and \( ormalsize \delta_{j} \) is the coefficient from a dummy variable LIVE TOURNAMENT STATS Charles Schwab Challenge — Colonial Country Club. All strokes-gained statistics are as defined on the PGATOUR website . Proximity to the pin of all shots hit from the fairway (par 3s tee shots included) or intermediate rough from a distance greater than 50 yards. Shots deemedto be layups or
DG FIELD STRENGTH
These values are expressed in units of strokes better (+) or worse (-) per round than the average PGA Tour field. 'AVERAGE' is the average skill, 'TOP 25%' is the average skill of the top 25% of the field, and the remaining columns are defined analogously (according to the column header). 'DIFFICULTY TO WIN' columns are estimates of theDATA GOLF RANKINGS
Data Golf's version of the World Golf Rankings. The Data Golf Rankings are a ranking of the best golfers in the world according to our model. They are determined by averaging the field-strength adjusted scores of each golfer across professional and amateur tournaments, with MY MODEL - DATA GOLF The orange shape is your course fit profile, and the accompanying player-specific estimates will be shown in Column F below. The blue shape is the Data Golf profile, which we calculate using historical data and can be explored in greater detail here . Lastly, the black shape. white shape. is the course fit profile of the typical PGA Tourcourse.
HISTORICAL EVENT DATA Explore data from every PGA TOUR event since 2010 including strokes gained leaderboards, strokes gained decompositions, and best performers at the event.ALL-TIME RANKING
All-Time Ranking WEEKLY RANKINGS. WEEKLY RANKINGS. UPDATED: May 31, 2021. NIGHT MODE. DAY MODE. Which golfers were the ‘best at their best’ over the last two decades? We’ve ranked the top 200 golfers according to the quality of their best stretches of golf, as indicated by our Data Golf Index . Click the dates to view the rankings at the PREDICTIVE MODEL METHODOLOGY where i indexes the golfer and j indexes a tournament-round (or a round played on a specific course for multi-course tournaments), \( ormalsize S_{ij} \) is the raw score in a given tournament-round, \( ormalsize \mu_{i}(t) \) is some player-specific function of "golf time" (i.e. the sequence of rounds for a golfer), and \( ormalsize \delta_{j} \) is the coefficient from a dummy variableDG PLAYER PROFILES
Using historical data from each main professional tour, we provide career projections for current players based on the realized career trajectories of statistically similar players from the past. MATCH-UP BETTING TOOL PGA Match-Up/3-Ball Tool. Lucas Glover added to the field. Jimmy Walker added to the field. Lucas Glover removed from the field. Lucas Glover, Kyle Stanley, Russell Knox added to the field. Vijay Singh, Kevin Na removed from the field. API ACCESS - COMING-SOON || DATAGOLF.COM The data golf API is set of simple endpoints/urls that allow you to programmatically retrieve our data. The goal is to provide a more efficient way for you to interact with and integrate our data into your models/applications. 1. General Use — updated field lists, tee times, DFS salaries. WHO PLAYS BEST AT TOUGH TRACKS? Ian Poulter upped his game the most at difficult venues on the PGATOUR from 2011-2017, beating his baseline strokes-gained by an average of 0.34 shots per round at these courses. This fits with the narrative Tom Watson laid out at the beginning of the article: Poulter is knownas a
INSIDE THE NUMBERS NO. 25 The largest course history adjustment we are making this week is +0.26 strokes and belongs to Adam Scott, who in his 61-round history at TPC Sawgrass has performed 0.77 strokes above expectation (i.e. what we would expect based on his performance at other courses and his course fit at Sawgrass). Si Woo Kim has an incredible, albeit shorter, history at TPC Sawgrass: Kim has performed This website uses cookies to ensure you get the best experience on ourwebsite. Learn more
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__ data golf __
* • Predictive Model My Custom Model NEW Major Predictions • Data Golf Rankings    Professional RankingsAmateur Rankings
• Live Predictive Models    PGA TOUR European Tour    PGA TOUR (Opposite Field)    Live Model Evaluation • Pre-Tourney Predictions PGA TOUR    European TourKorn Ferry Tour
PGA TOUR (Opposite Field) • Player Decompositions    PGA TOUR    PGA TOUR (Opposite Field)European Tour
• Archives __    Data Golf Predictions    Outright Odds Matchup/3-Ball Odds • More Model Pages    Field Strength Table    2021 Betting Results 2020 Betting Results 2019 Betting Results* • Interactives
• True Strokes-Gained    Query Tool Professional    Amateur Live Tournament StatsPerformance Table
Pressure Tool Course Fit Tool Trending Table Player Projections Historical Event Data • Course History Tools    PGA Tour European Tour • Data Viz of the Week    Driving Distance Evolution PGA TOUR Prize Money    Career Earnings Evolutions • More Interactives    Live Strokes-Gained    Career Evolutions Player Comparison Tool * • Scratch Tools PGA TOUR • Betting Tools   Finish Position 3-Balls & Matchups   Tournament PropsFantasy Projections
EURO TOUR • Betting Tools   Finish Position3-Balls & Matchups
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PGA the Memorial Tournament Live finish probabilities, updating every 5 minutes. PGA Live Tournament Stats Live detailed statistics from every round of this week’s PGA Tourevent.
Showdown Projections PGAEUR
Customizable fantasy projections for showdown, weekend, and captainmode slates.
RECENT BLOGS
Is Jordan Spieth Back? A statistical deep-dive into Spieth's turbulent career. How sharp are bookmakers? How sharp are we? Analyzing the accuracy of over 100,000 matchup and 3-ball prices at 11sportsbooks.
A data-driven history of Augusta National Shedding some light on what it takes to win around Augusta, and which holes offer the largest advantage for bombers. Sleeping on the Lead: How do pros perform under pressure? Using strokes-gained and win probability to assess the role of skill, luck, and pressure in golfers' third and fourth round performances.More Blogs
RANKINGS
__ PRO
1. J. RAHM
2. X. SCHAUFFELE
3. V. HOVLAND
4. W. SIMPSON
5. J. THOMAS
__ AMATEUR
1. J. PAK
2. D. THOMPSON
3. P. COODY
4. L. ABERG
5. N. GOODWIN
INTERACTIVES
True Strokes-Gained
PLAYER PLOTS
QUERY TOOL
Performance Table
Pressure Tool
Who plays best (and worst!) under pressure?Career Projections
Course Fit Tool
Are certain skill sets — such as distance, or accuracy — favoured at specific courses?Player Trends
Course History PGA EUR Detailed player histories as well as suggested adjustments for a golfer's course history and experience. Historical Event DataRECENT BLOGS
Is Jordan Spieth Back? A statistical deep-dive into Spieth's turbulent career. How sharp are bookmakers? How sharp are we? Analyzing the accuracy of over 100,000 matchup and 3-ball prices at 11sportsbooks.
A data-driven history of Augusta National Shedding some light on what it takes to win around Augusta, and which holes offer the largest advantage for bombers. Sleeping on the Lead: How do pros perform under pressure? Using strokes-gained and win probability to assess the role of skill, luck, and pressure in golfers' third and fourth round performances.More Blogs
__ We started a forum! Come take a look around, everyone is welcome.__ API Access
The API allows you to seamlessly integrate our data/model into yourown processes.
__data golf__ SCRATCH TOOLS __ Finish Position KFTEUR PGA
Full-field win and top 5/10/20 predictions from our model listed alongside odds from various books. __ Matchup & 3-Balls EURPGA
View our model's odds and track line movement for matchups and 3-balls offered at popular books. __ Tournament Props EURPGA
Model odds for common 'prop' bets such as winning margin and winner's nationality, as well as a custom group simulator. __ Custom Matchup Tool Use our model to simulate matchups and 3-balls between any golfersfrom our database.
__ Field Updates — about 11 hours ago Up-to-the-minute updates on WDs, Monday Qs, tee times, DFS pricing. Easily downloadable.MODEL PREDICTIONS
PGAthe Memorial TournamentRAHMJON
5.7%
MORIKAWACOLLIN
4.6%
HOVLANDVIKTOR
4.3%
CONNERSCOREY
3.5%
SCHAUFFELEXANDER
3.4%
FULL PREDICTIONS
EURPorsche European OpenANCERABRAHAM
10.1%
CASEYPAUL
9.3%
WIESBERGERBERND
3.1%
SCHWABMATTHIAS
2.4%
CANTERLAURIE
2.4%
FULL PREDICTIONS
KFTREX Hospital OpenMOORETAYLOR
3.5%
JAEGERSTEPHAN
3.4%
SIGGGREYSON
3.3%
RAMEYCHAD
3.1%
GREYSERMANMAX
2.9%
FULL PREDICTIONS
Futures Pricing
Full-field predictions for upcoming Major Championships.Betting Results
NEW Custom Model
Use your knowledge and expertise to customize our predictions and run full-field pre-tournament simulations. Player Skill Decomposition PGAEUR
Our skill estimates for the week, broken down by baseline, course fit, course history, and more.RANKINGS
__ PRO
1. J. RAHM
2. X. SCHAUFFELE
3. V. HOVLAND
4. W. SIMPSON
5. J. THOMAS
__ AMATEUR
1. J. PAK
2. D. THOMPSON
3. P. COODY
4. L. ABERG
5. N. GOODWIN
INTERACTIVES
True Strokes-Gained
PLAYER PLOTS
QUERY TOOL
Performance Table
Pressure Tool
Who plays best (and worst!) under pressure?Career Projections
Course Fit Tool
Are certain skill sets — such as distance, or accuracy — favoured at specific courses?Player Trends
Course History PGA EUR Detailed player histories as well as suggested adjustments for a golfer's course history and experience. Historical Event DataRECENT BLOGS
Is Jordan Spieth Back? A statistical deep-dive into Spieth's turbulent career. How sharp are bookmakers? How sharp are we? Analyzing the accuracy of over 100,000 matchup and 3-ball prices at 11sportsbooks.
A data-driven history of Augusta National Shedding some light on what it takes to win around Augusta, and which holes offer the largest advantage for bombers. Sleeping on the Lead: How do pros perform under pressure? Using strokes-gained and win probability to assess the role of skill, luck, and pressure in golfers' third and fourth round performances.More Blogs
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