Web4 okt. 2024 · As 3.5-point favorites or more, Illinois is 3-0 against the spread. Two of Illinois’ five games have hit the over. Iowa Betting Splits. Iowa owns two wins against the spread this season. Iowa is winless ATS (0-1) when playing as at least 3.5-point underdogs this season. One of Iowa’s five games has gone over the point total. Illinois Leaders Web7 okt. 2024 · The Iowa Hawkeyes and Illinois Fighting Illini football teams are scheduled to meet in a Big Ten Conference contest on Saturday, Oct. 8. The game is scheduled to start at 6:30 p.m. CT. Illinois...
Iowa football vs. Illinois: TV, live stream, kickoff time, predictions
WebThe official Michigan State University Spartans Football History vs University of Illinois ... Ill. L 27 - 31 Recap October 26, 2013 10/26/2013: 2013 Away Champaign, Ill. W ... Web8 okt. 2024 · Iowa ranks 10th-worst in third-down conversion rate (29.7%), but it has been more effective on the defensive side of the ball, ranking 44th in the FBS with a 34.1% third-down rate allowed. Iowa has a +2 turnover margin this season, which ranks 40th in the FBS. Illinois vs. Iowa Betting Analysis Illinois Betting Insights tsp washing walls
Iowa football vs. Illinois kickoff time, TV set The Gazette
Web11 apr. 2024 · Oct 2, 2024; Charlotte, North Carolina, USA; Arizona Cardinals head coach Kliff Kingsbury talks with quarterback Kyler Murray (1) during the second half against the Carolina Panthers at Bank of ... Web8 okt. 2024 · The Iowa Hawkeyes and Illinois Fighting Illini football teams meet in a Big Ten Conference contest on Saturday, Oct. 8. Illinois defeated Iowa 9-6. Illinois improved to 5-1 overall and 2-1 in... Web15 nov. 2024 · The Illinois Fighting Illini (4-6, 3-4 Big Ten) and No. 14 Iowa Hawkeyes (8-2, 5-2) battle in a Saturday afternoon game in Iowa City, Iowa. The contest at Kinnick Stadium is slated for a 2 p.m. ET kickoff. Below, we look at the Illinois vs. Iowa odds and lines; check back for our college football picks and predictions.. Illinois pulled off an upset win at … phishing based model