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Identifying Significant In-Game Statistics and Developing Prediction Models for Outcomes of NCAA Division 1 Football Championship Subdivision (FCS) Games
Journal of Statistical Science and Application, ISSN 2328-224X December 2013, Vol. 1, No., 51-62 D DAVID PUBLISHING Identifying Significant In-Game Statistics and Developing Prediction Models for Outcomes of NCAA Division 1 Football Championship Subdivision (FCS) Games Rhonda C. Magel and Joseph C. Long Department of Statistics, North Dakota State University, Fargo, ND 58108, USA Models are developed which estimate point spread of FCS Division 1 college football games, and the probability that a particular team will win the football game when the in-game statistics are known. These models are then used to predict the team that will win a future game when the differences between the in-game statistics are estimated before the game. One of the models increased the estimated prediction percentage by 7.7% over using only the team rankings for the random sample of 52 games selected played during the 2012 year. Keywords: logistic regression; OLS regression; Odds ratios; point spread; probability of winning Introduction In this research, we will focus on finding the in-game statistics that are most significant in determining whether or not a given team will win the football game. Our focus will be on only NCAA Division 1 Football Championship (FCS) teams. The NCAA does have other football divisions, including Division 2, Division 3, and Division 1 Football Bowl Subdivision (FBS). The FCS is unique in that teams in this Subdivision may end up playing both FBS teams and Division 2 teams. We will begin by mentioning some of the past research on football that has been done in this area. -
Punt Defense Team
SPECIAL TEAMS 2007 vs. MONMOUTH vs. NEW HAMPSHIRE vs. NORTHEASTERN vs. NAVY vs. JAMES MADISON vs. RICHMOND vs. VILLANOVA NATIONAL RANKINGS Punting Not Ranked 77 Josh Brite PR Individual 66 56 A.Love S.McBride KR Individual 79 86 K. Michaud L.Moore FG Individual 8 3 J. Striefsky P.Gärtner PR Team 101 59 KR Team 91 6 PR Y Defense 10 23 KR Y Defense 43 33 PAT/FG TEAM 47 36 Rush Lanes Jump Lanes LB LB TE OL OL 49 OL OL DT SYSTEM ANALYSIS SUMMARY KICKER Regular Double Wing PAT/FG Solid PAT/FG Unit with a Freshman #47 Jon Striefsky Interior Line: Inside Zone Step Short Snapper. They didn’t faced Alignment: 3-2 Shoulder Down Protection real Rush this season. LT/RT Footed: Right TE & W: Man Protection The Operation Time is very slow: Approach: Soccer LS: Shoulder Down Protection Ø 1,42 sec. Steps: 3 (Jab, Drive & Plant) Get Off: 1,33 – 1,59 sec. PROTECTION Hash Tend: Always to the near Pole Block Tech: Inside Zone & Man ANY BLOCKED PAT/FG? Distance: 42Y Weakness: RG-RTE-LG-LTE NOPE Under Pressure: No Follow Thru! Block Point: 5Y How-When? Overall: Very consistent Kicker Overall Quality: Solid Protection! with a slow Operation Time. Weak over the Guards & the TE’s (Jumper > Edge) How-When? HOLDER SHORT SNAPPER #36 Ted Shea, SO (LS) #49 Zach Reed, FR Good Ball Handling, Can‘t reach! Good & accurate Short Snapper KEY OBSERVATIONS Has a very comfortable Stance! Average Speed, Shoulder Down Both Wings are Back Up LB! FAKES? SHIFTS/MOTION LTE is the Starting Left DT NOPE NOPE RTE is the Starting TE COVERAGE OPERATIONS STATS No Releases on FG‘s Get Off 1,33 – 1,59 sec. -
Nfl 100 All-Time Team’
FOR IMMEDIATE RELEASE Alex Riethmiller – 310.840.4635 NFL – 11/18/19 [email protected] NFL RELEASES RUNNING BACK FINALISTS FOR THE ‘NFL 100 ALL-TIME TEAM’ 24 Transformative Rushers Kick Off Highly Anticipated Reveal The ‘NFL 100 All-Time Team’ Premieres Friday, November 22 at 8:00 PM ET on NFL Network The NFL is proud to announce the 24 running backs that have been named as finalists for the NFL 100 All-Time Team. First announced on tonight’s edition of Monday Night Countdown on ESPN, the NFL 100 All- Time Team running back finalist class account for 14 NFL MVP titles and combine for 2,246 touchdowns. Of the 24 finalists at running back, 23 are enshrined in the Pro Football Hall of Fame in Canton, OH, while one is still adding to his legacy on the field as an active player. The NFL100 All-Time Team premieres on November 22 and continues for six weeks through Week 17 of the regular season. Rich Eisen, Cris Collinsworth and Bill Belichick will reveal the NFL 100 All-Time Team selections by position in each episode beginning at 8:00 PM ET every Friday night, followed by a live reaction show hosted by Chris Rose immediately afterward, exclusively on NFL Network. Of the 24 running back finalists, Friday’s premiere of the NFL 100 All-Time Team will name 12 individuals as the greatest running backs of all time. The process to select and celebrate the historic team began in early 2018 with the selection of a 26-person blue-ribbon voting panel. -
Guide for Statisticians © Copyright 2021, National Football League, All Rights Reserved
Guide for Statisticians © Copyright 2021, National Football League, All Rights Reserved. This document is the property of the NFL. It may not be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, recording, or information storage and retrieval systems, or the information therein disseminated to any parties other than the NFL, its member clubs, or their authorized representatives, for any purpose, without the express permission of the NFL. Last Modified: July 9, 2021 Guide for Statisticians Revisions to the Guide for the 2021 Season ................................................................................4 Revisions to the Guide for the 2020 Season ................................................................................4 Revisions to the Guide for the 2019 Season ................................................................................4 Revisions to the Guide for the 2018 Season ................................................................................4 Revisions to the Guide for the 2017 Season ................................................................................4 Revisions to the Guide for the 2016 Season ................................................................................4 Revisions to the Guide for the 2012 Season ................................................................................5 Revisions to the Guide for the 2008 Season ................................................................................5 Revisions to -
Notre Dame Scholastic Football Review
#^ *^1 ^•S;^S:c:- ^s. & %^ ^ •^\.- VS^B^^KT'-^^; •>••••••••• r*" ^^»..^ •" ."-• •:j'"-i':;?J*^;--'-^-.-,••••••.:.• • • ^ i^^^lSS'••^=^.i^ i • < ' '•}"'">. STnnna 6 0 ft o'o fl'o 0 0 0 0 0 o'o'fl a a o'o'tt-oinnR UttllllSi^bdB ya'a'aTaim'aaoaa'ao'aa'a'o'aTrB'fl'o'ftTa5'fta» '--^ivl* ^x.Jv.-Uv'/" ' % Holidays ahead . an offer to make new friends •m ... and keep old ones: m SUIT CERTIFICATE MO $10.00 OFF ON ANY SUIT IN STOCK/CLIP IT AND SAVE Stop by, select your suit from our full selection of popular, university-styles . vested. Edwardians and others in the new colors and fabrics. With this certificate you deduct $10 from the regular nrice. One certificate per suit. Offer expires December 20, 1969 USE YOUR CAMPUS SHOP ACCOUNT PAY NEXT SUMMER Pay one-third in June, one-third in July, one-third in .August with no interest or carr^'ing charges. iSUUtSLSUISl UJUi.99 B.ft.g.9 ft\^ILBERr ft I S 1.0-fl.9.g-9-flJ-Q-g.9.ftJL8,fl.0.g.gJ-9.0ff^ ON THE CAMPUS ... NOTRE DAME december 5, 1969 notre dame, Indiana scholastic volume 111, no. 10 football revie>A/ 1969 one dollar "Eleven Adequate Players" 4 "Bonded for a Lifetime" 5 THE SEASON 6 Northwestern 7 Purdue 8 Michigan State 11 Army 14 Southern California 16 Tulane J 21 Navy 22 Pittsburgh .,. 24 Georgia Tech 26 Air Force _ 27 PARSEGHIAN 28 "A True Measurement of the Game" 29 The Lady of the House at 1326 E. -
Team Single-Season Records
Team Single-Season Records (2006-17) TOTAL OFFENSE CATEGORY MARITIME OPPONENTS Most Plays 822 (2016) 745 (2016) Fewest Plays 519 (2006) 520 (2006) Most Yards 4,490 (2017) 4,149 (2007) Fewest Yards 2,232 (2006) 2,205 (2006) Highest Average per Play 5.7 (2009) 6.2 (2007) Fewest Average per Play 4.2 (2016) 4.2 (2006) Highest Average per Game 408.2 (2017) 414.9 (2007) Fewest Average per Game 248.0 (2006) 242.7 (2011) SCORING CATEGORY MARITIME OPPONENTS Most Points 407 (2017) 396 (2007) Fewest Points 174 (2012) 175 (2011) Most Points per Game 37.0 (2017) 39.6 (2007) Fewest Points per Game 18.3 (2014) 17.5 (2011) Most Touchdowns 52 (2017) 55 (2007) Fewest Touchdowns 21 (2014) 22 (2011) Most PAT Attempted 52 (2017) 52 (2007) Fewest PAT Attempted 14 (2006) 20 (2011) Most PAT Made 51 (2017) 43 (2007) Fewest PAT Made 10 (2006) 17 (2011) Most Field Goals Attempted 23 (2016) 4 (2015) Most Field Goals Made 14 (2016) 3 (2016, 2017) Longest Field Goal 52 (2015) 51 (2011) Highest Time of Possession/Game 35:03 (2013) 29:33 (2012) Lowest Time of Possession/Game 30:10 (2012) 24:57 (2013) FIRST DOWNS CATEGORY MARITIME OPPONENTS Most First Downs 227 (2017) 211 (2007) Fewest First Downs 129 (2006) 124 (2006) Most by Rushing 176 (2009, 2010) 110 (2007) Fewest by Rushing 88 (2012) 66 (2011) Most by Passing 118 (2017) 80 (2017) Fewest by Passing 10 (2013) 39 (2006) Most by Penalty 23 (2007) 28 (2017) Fewest by Penalty 13 (2006, 2009) 8 (2008) PENALTIES CATEGORY MARITIME OPPONENTS Most Penalties 79 (2017) 84 (2015) Fewest Penalties 36 (2009) 47 (2010) Most Penalty -
Return Man Game
1 / 2 Return Man Game Coaches want these blockers to remain on their feet and work together to free their man. This figure shows a common kickoff return strategy involving a blocking .... Return Man · The runner is tasked to grab hold of the ball as soon as it falls in the circle in yellow color. Do you move to the rival's goal once you have caught the .... Free Flash Games and Embed Code · Mobile Site. Powered by Create your own unique website with customizable templates. Get Started.. Return Man 2 game, Return Man 2 is an awesome American football game. Play Return Man game online for free.. Return Man Games will bring many nice and cool versions of ESPN game return man, including puzzle, arcade, sport, and many other games. Time to savor all, .... Return Man Football Physics is an online game where you can play American football. You can play solo with AI or play with friends in 2 player mode. our goal in .... Oct 15, 2011 — But the irony is that it seemingly hasn't mattered who's returning the kicks for the Jets over the past few years: Nearly every return man has been ... Return Man 3 is an amazing American football game. On Return Man 3 Game you have to catch ball and run to the end zone for a touchdown.. Dec 12, 2017 — He hinted in January, after the Seahawks were eliminated from the postseason, that he had played his final NFL game. As recently as 2014 with .... I think they loss a couple games. -
Predicting the Outcome of NFL Games Using Logistic Regression
University of New Hampshire University of New Hampshire Scholars' Repository Honors Theses and Capstones Student Scholarship Spring 2019 Predicting the Outcome of NFL Games Using Logistic Regression Stephen Bouzianis University of New Hampshire, Durham Follow this and additional works at: https://scholars.unh.edu/honors Recommended Citation Bouzianis, Stephen, "Predicting the Outcome of NFL Games Using Logistic Regression" (2019). Honors Theses and Capstones. 474. https://scholars.unh.edu/honors/474 This Senior Honors Thesis is brought to you for free and open access by the Student Scholarship at University of New Hampshire Scholars' Repository. It has been accepted for inclusion in Honors Theses and Capstones by an authorized administrator of University of New Hampshire Scholars' Repository. For more information, please contact [email protected]. Undergraduate Honors Thesis Predicting the Outcome of NFL Games Using Logistic Regression by Stephen Bouzianis Pete T. Paul College of Business and Economics University of New Hampshire Advisor: Dr. Ali Hojjat Assistant Professor of Decision Sciences May 2019 Table of Contents 1. INTRODUCTION .......................................................................................................................... 1 2. LITERATURE REVIEW .................................................................................................................. 2 2.1 Logistic Regression ................................................................................................................................... -
Gridiron Club Newsletter Football
FOOTBALL GRIDIRON CLUB NEWSLETTER OUACHITA vs. SOUTHERN ARKANSAS: THE SERIES 2015 SCHEDULE Ouachita leads the all-time series over Southern Ar- kansas 36-34-1. The teams have split the series, 2-2, Sept. 3 6 p.m. since joining the Great American Conference. 2015 Result EAST CENTRAL W 31-24 Ada, Okla. The series began in 1912 with a 61-0 Ouachita victory Sept. 12 7 p.m. in Arkadelphia. The Tigers won the first five games of 2015 Result the series, outscoring the Muleriders 212-0. SOUTHEASTERN OKLA. W 42-40 Cliff Harris Stadium This week’s game in El Dorado marks the first time Sept. 19 6 p.m. 2015 Result the Tigers and Muleriders have played in a neutral SOUTHWESTERN L 58-38 site since 1931. The Tigers tied SAU, 6-6, in Hope Weatherford, Okla. in 1929 and won the 1931 game played in Camden, Sept. 26 7 p.m. 13-6. 2015 Result NORTHWESTERN W 55-13 Since 2007, the Tigers have a 5-3 advantage over Cliff Harris Stadium SAU. Ouachita has averaged 42 points per game in Oct. 3 11 a.m. 2015 Result their five wins. HARDING W 26-21 Cliff Harris Stadium OUACHITA vs. SOUTHERN ARKANSAS: THE NUMBERS Oct. 10 3 p.m. Since 2010, the Tigers are 11-5 in games following a 2015 Result ARKANSAS TECH L 30-12 loss. The last the Tigers lost consecutive games was Russellville, Ark. in the 2012 season. Oct. 17 2 p.m. 2014 Result Ouachita is one of only two schools in the confer- SOUTHERN ARKANSAS W 38-28 ence to have amassed over 1,000 yards rushing and El Dorado, Ark. -
2017 Football Statisticians' Manual
The Official National Collegiate Athletic Association 2017 FOOTBALL STATISTICIANS’ MANUAL Including Special Interpretations and Approved Rulings Covering Unusual Situations 2017 BASIC INTERPRETATIONS (Indicated as “B.I.” references throughout manual.) field goal attempt. In this case, the 10 yards from the goal line to the goal post is added (see Sec. 10). (Throughout this manual, Team A players have last names starting with “A” 4. PENALTY YARDAGE—The amount of penalty yards recorded and Team B players have last names starting with “B.”) should at all times be the actual distance lost by penalty (not, however, to include the yards nullified by penalty), rather than 1. APPROVED RULING—Approved rulings (indicated as A.R.) the amount of yards assessed by the official. Example: The are designed to interpret the spirit of the application of the ball is on Team A’s eight-yard line when Team A is penalized for Official Football Rules. A thorough understanding of the rules holding. The penalty assessed by the official is 10 yards, but is essential to understanding and applying the statistics rules Team A cannot be penalized more than half the distance to its in this manual. goal line. Thus, the number of penalty yards recorded is four. 2. DETERMINING THE YARD LINE AND SPOTTING THE 5. FUMBLE RETURNS—An offensive fumble or backward pass BALL—If any part of the football rests on or above any yard recovery either behind or beyond the line of scrimmage recov- stripe, future action is to be computed from that yard line. ered by the defensive team may be returned. -
London Junior Mustangs Football Club Football
LONDON JUNIOR MUSTANGS FOOTBALL CLUB FOOTBALL TERMINOLOGY GUIDE Text courtesy of Kevin Holmes, HB Sport Management Services 1 Table of Contents STATEMENT .................................................................................................................................................................. 3 OFFENSE ....................................................................................................................................................................... 3 POSITIONS ................................................................................................................................................................ 3 Offensive Line ...................................................................................................................................................... 3 Backfield ............................................................................................................................................................... 3 Receivers .............................................................................................................................................................. 4 NUMBERING/LETTER SYSTEM .............................................................................................................................. 4 FORMATIONS ....................................................................................................................................................... 4 HOLES .................................................................................................................................................................. -
Bowl Game Notes.Indd
REWRITING THE MISSISSIPPI STATE RECORD BOOKS IN THE DAN MULLEN ERA (2009-PRESENT) individual and team single-game, single-season and career 101 statistical records have been broken in the Dan Mullen era. Individual Single-Game (15 overall, 6 in 2015) Yards Per Kickoff Return – Leon Berry; 26.8 (2010) Rushing Yards – Anthony Dixon; 252 vs. Kentucky (2009) Interceptions – Corey Broomfi eld; 6 (2009) Yards Per Rush - Anthony Dixon; 7.6 vs. Kentucky (2009) Return Yards Per Interception – Johnthan Banks; 36.2 (2009) Total Off ense - Dak Prescott; 554 at Arkansas (2015) Interceptions Return Yards – Johnthan Banks; 145 (2009) Total Plays - Dak Prescott; 70 at Alabama (2014) Interceptions Returned for a Touchdowns – Johnthan Banks & Corey Broom- Touchdowns Responsible For - Dak Prescott; 7 at Arkansas (2015) fi eld; 2 (2009) Completions - Dak Prescott; 38 at Arkansas (2015) Completion Percentage - Dak Prescott; .769 vs. Texas A&M (2014) Team Single-Season (17 overall, 7 in 2015) Passing Yards - Dak Prescott; 508 at Arkansas (2015) Total Off ensive Yards – 6,679 (2014) Passing Touchdowns - Dak Prescott; 5 at Arkansas (2015) Total Plays – 1,001 (2014) Consecutive Attempts Without an INT - Dak Prescott; 52 vs. LSU (2015) Yards Per Play - 6.7 (2014) Receiving Yards - Jameon Lewis; 220 vs. Rice (2013) Per Game Off ense – 513.8 (2014) Receiving Touchdowns - Chad Bumphis; 3 vs. Troy (2012) Points Scored – 480 (2014) Interceptions - Richie Brown; 3 vs. Texas A&M (2014) Points Per Game - 36.9 (2014) Interception Return Yards - Johnthan Banks; 120 vs. Florida (2009) Most Off ensive Touchdowns – 60 (2014) Interception Touchdowns - Johnthan Banks; 2 vs.