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Big Ten · 2026 · History

Iowa Hawkeyes

5-1 (2-1 Big Ten)15th APLast: W 41-24 at WashingtonNext: at Minnesota

Kirk Ferentz · 28th season · .628 at Iowa · .628 career since 1999

Rating
+12.820
Adj Off
31.235
Adj Def
18.415
WAP
+0.6611

Style profile

Style

What the offense does with the ball, and what the defense faces.

StatOffenseDefense
Run rate49.9%7546.1%105
Plays per game62.511765.873
Time of possession28:3610631:2433
Yards per pass attempt7.0946.959
Yards per rush6.132.55
Points per game31.05714.58
Points per opportunity3.84693.2247
Starting field positionOwn 3128Own 242

Efficiency and EPA

Down-by-down quality, measured in predicted points.

StatOffenseDefense
EPA per play+0.17857-0.02025
Adj. EPA per play+0.18827+0.01320
Success rate45.3%4834.4%12
Explosiveness1.23731.1527
Rushing EPA per play+0.19630-0.2071
Passing EPA per play+0.23965+0.24193
Std downs success53.1%2640.0%17
Passing downs success25.0%12224.8%23

Situational

Red zone finishing, ball security, discipline, and money downs.

StatOffenseDefense
Red zone TD rate51.2%10755.6%71
Turnovers per game0.5060.83118
Penalties per game6.2526.854
Penalty yards per game53.35352.586
3rd down conversion39.4%7633.7%38
4th down tries per game0.831321.00127
4th down conversion20.0%13450.0%54

Rank out of 138 FBS teams. Green is good for the team, red is bad. Blue only orients neutral traits like tempo and run rate.

Schedule and resultsProjected 8.9-3.1

DateOpponentResult / projectionWAPOff EPADef EPA
Sep 5Wk 1136Northern IllinoisW40-0+0.00+0.03-0.42
Sep 12Wk 253Iowa StateW16-13+0.14-0.04+0.08
Sep 19Wk 3Northern Iowa(FCS)W55-00.00+0.67-0.37
Sep 26Wk 4@24MichiganW20-19+0.45+0.03+0.12
Oct 3Wk 51Ohio State#3L14-31-0.28-0.09+0.20
Oct 9Wk 6@38WashingtonW41-24+0.34+0.45+0.16
Oct 24Wk 8@54Minnesota-6.867%+0.25——
Oct 31Wk 942Wisconsin-9.372%+0.20——
Nov 7Wk 10@27Northwestern#24+1.147%+0.43——
Nov 14Wk 1167Purdue-16.085%+0.10——
Nov 21Wk 12@48Illinois-5.263%+0.28——
Nov 27Wk 1326Nebraska-4.461%+0.30——

Unplayed games show the projected spread from this team's view (negative = favored) and its win probability, from the ratings; their WAP is what a win would be worth. How the ratings work.

Key players

Sorted by how much of the offense runs through them. Bold rows are the primary option at each spot; the shade tracks their share.

Offense

Quarterbacks

Share of pass attempts
PlayerShareC/ACmp%YdsY/ATDINT
9Hank BrownFR69%78/12462.9%8326.751
10Jeremy HecklinskiFR28%32/5162.7%4108.041

Running backs

Share of rushes
PlayerShareCarYdsY/CTDRec
28Kamari MoultonFR40%765196.849
5Nathan McneilFR11%211286.123
26Xavier WilliamsFR10%201708.534
22Braeden JacksonFR10%191708.924
21L.J. Phillips Jr.FR9%18633.500

Receivers

Share of pass attempts
PlayerShareRecYdsY/RTD
14Tony DiazWR FR16%2832911.81
81DJ VonnahmeTE FR10%1821912.22
2Reece Vander ZeeWR FR9%1624715.43
87Addison OstrengaTE FR4%8759.41
8Evan JamesWR FR4%7588.30

Defense

Defensive line

Total tackles
PlayerTklTFLSckHurPD
96Bryce HawthorneDL FR194.02.510
51Luke GaffneyDL FR120.00.000
43Kahmari BrownDL FR112.01.510
57Will HubertDL FR100.50.010
97Iose EpenesaDL FR91.50.010
13Drew CampbellDE FR72.51.510

Linebackers

Total tackles
PlayerTklTFLSckPDINT
33Cam BuffingtonLB FR525.02.000
36Jayden MontgomeryLB FR355.02.000
23Landyn Van KekerixLB FR200.50.500
46Preston RiesLB FR72.52.510
4Julian MansonLB FR71.51.000

Defensive backs

Total tackles
PlayerTklPDINTTFL
6Zach LutmerDB FR34400.5
11Jacob WallaceDB FR19111.5
8Deshaun LeeDB FR18320.0
3Jaylen WatsonDB FR17700.0
18Xavier StylesDB FR13301.0
2Tyler BrownDB FR11000.0
1Darion JonesDB FR9000.0

Special teams

Kickers

By kicks attempted
PlayerFGFG%LongXPPts
92Caden BuhrFR9/1182%5119/2146

Punters

By punts
PlayerPuntsAvgLongIn 20TB
49Boston EverittFR2743.058172