Skip to content

Illinois Fighting Illini

Big Ten·1-1·
Elo
1595#38
SP+
7.5#41
FPI
5.7
AP
NR
Nextvs Southern Illinois · Wk 3
Talent #51 (704.0)Recruiting class #2421% production returning

Roster · 117 players

FR 51SO 18JR 19SR 29
#PlayerPosClHtWt
2Carson BoydQBFR6'0"190
4Katin HouserQBSR6'3"225
7Michael Clayton IIQBFR6'4"210
12Dane EisenmengerQBFR6'4"215
5Ca'Lil ValentineRBJR5'11"200
20John ForsterRBFR5'10"195
21Aidan LaugheryRBSR5'11"200
22Cedric Wyche IIRBFR5'10"215
23Jordan AndersonRBSR6'4"240
24Javari BarnettRBFR6'1"210
25Nelsyn WheelerRBFR5'9"205
27Corey RashadRBJR5'8"185
31Murphy ClementRBSO6'0"215
0Nas RankinWRFR6'0"170
1Jayshon PlattWRSR6'1"185
3Kenyon AlstonWRFR6'2"195
6Jershaun NewtonWRFR6'0"215
8Davon GrantWRFR6'4"220
9Alex PerryWRSR6'5"210
10Ty RobinsonWRSR6'4"200
11Brayden TrimbleWRFR6'1"190
13Hudson ClementWRSR6'1"215
17Collin DixonWRJR6'1"215
19Nate CichyWRFR6'1"190
28Karson KaiserWRSO6'1"170
80Eddie KasperWRSR5'10"165
81Leslie Mosley Jr.WRFR5'10"160
82Jacob HarveyWRFR6'0"190
14Maurice Smith Jr.TESR6'4"245
16Logan FarrellTEFR6'3"250
83Kaden FeaginTESR6'3"260
84Grant SmithTEFR6'5"230
85Will Vala IIITEFR6'3"240
86Christian AbneyTESR6'6"255
87BJ ThurmanTESO6'4"225
88Davin StoffelTEJR6'6"260
89Tanner HollingerTESO6'5"245
51Alfred WashingtonOLJR6'7"315
52Champ SmithOLFR6'6"330
53Kai PritchardOLFR6'5"290
54Griffin RousseauOLFR6'7"325
55TJ McMillenOLJR6'3"300
56JJ HirdesOLFR6'6"295
57Zach BarrettOLSO6'3"295
58Landen Von SeggernOLFR6'4"280
59Jake RenfroOLSR6'4"320
62Casey ThomannOLFR6'8"325
65Dezmond SchusterOLSR6'5"335
66Brandon HansenOLJR6'6"330
68Michael McDonoughOLFR6'3"310
70Maika MatelauOLSO6'3"300
71Nathan KnapikOLSO6'7"300
72Christian MartinOLJR6'7"300
74Zafir StewartOLSO6'6"350
75Brandon HendersonOLSR6'5"335
76Dylan FrechetteOLFR6'6"345
78Eddie TuerkOLSO6'4"320
79TJ TaylorOLJR6'5"340
15Kingston ShawDLFR6'3"250
17Isaiah ThomisonDLJR6'3"285
43Joe BarnaDLJR6'4"265
51Parker CrimDLFR6'3"255
52Pat FarrellDLJR6'5"285
54Demetrius JohnDLSO6'3"290
55Tony BalanganayiDLFR6'4"285
56Guillermo GallardoDLSR6'3"320
90Carter JankiDLSR6'5"295
91Cameron BrooksDLFR6'3"300
92Deon WilliamsDLSO6'2"270
93Ean RheaDLSR6'2"235
94Connor SullivanDLFR6'4"290
95Isaiah WhiteDLFR6'2"335
96Darrell PraterDLSR6'3"305
98Joshua DavisDLSO6'3"275
99King LigginsDLFR6'3"295
4Daniel BrownLBSR6'1"255
8Cameron ThomasLBFR6'0"205
10James KreutzLBSR6'2"235
11Jacob AlexanderLBFR6'4"245
18Mason MuraginLBJR6'4"250
23Jaylen StewartLBFR6'2"235
24Will HolmesLBJR6'4"255
26Ismael KanteLBSR6'2"235
28Kayden BennettLBFR6'1"230
30Tony WilliamsLBFR5'11"225
33Grant BeermanLBSO6'5"235
34Erik GayleLBFR6'3"230
38Jack ParisLBFR6'2"225
45Robert EdmonsonLBJR6'2"230
48Carter SmithLBSO6'3"240
0Mac ResetichDBSR6'0"210
1Xavier ScottDBSR5'11"195
2RJ Jones IIIDBFR6'0"175
3Nick Hankins Jr.DBFR6'0"200
5Jakwon MorrisDBJR6'0"175
6Juice ClarkeDBSR6'1"180
7Matthew BaileyDBSR6'2"225
9Lavon WilliamsDBSR5'10"190
12Isaiah WilliamsDBFR6'2"200
13Xanai ScottDBFR5'11"205
14Andre Lovett Jr.DBSO6'1"190
16Tanner HeckelDBJR5'11"195
19Jacob EberhartDBFR6'4"215
20Almirian ThomasDBFR5'11"175
21Ben ClawsonDBSR6'0"205
22Deuce FillmoreDBSR5'11"185
25Des StraughtonDBFR6'0"210
29James Finley IVDBSO6'2"190
32Tywan CoxDBFR5'10"185
35Kaedyn CobbsDBFR6'1"215
37Caden ConsidineDBFR6'2"210
27Lucas OsadaPKSO6'1"195
37Ethan MoczulskiPKSR5'11"200
18Jack GrayPFR6'2"210
81Lars RauPSO6'3"205
44Patrick Mahoney IIILSJR6'2"215
49Zach HaberLSJR5'10"220

Team Statistics · per game, with national FBS rank

Points / game
34.5
scoring offense
Points allowed
27.0
scoring defense
Differential
+7.5
per game
Offense
Total yards / game
357.0#100
Yards / play
6.4#57
Passing yards / game
226.5#70
Rushing yards / game
130.5#93
First downs / game
20.0#78
3rd down %
44.4%#62
4th down %
40.0%#93
Time of possession
26:06#118
Defense
Yards allowed / game
394.5#102
Yards / play allowed
5.8#104
Pass yards allowed / game
212.5#80
Rush yards allowed / game
182.0#118
3rd down % allowed
42.9%#97
Sacks
2#81
Tackles for loss
9#59
Turnovers & Discipline
Turnover margin
0#66
Takeaways
1#88
Giveaways
1#31
Penalties / game
4.0#19
Penalty yards / game
37.5#33

Rank is national among all FBS teams (#1 = best), oriented so higher rank = better even for defensive and discipline metrics. Bars show percentile.

Scouting Report · 2026 projection

balanced

Illinois is in year 6 under Bret Bielema, whose offenses have been balanced. The strengths are offensive, led by 21st on first and second down. The way in is 134th at hitting chunk plays, and they are 104th at keeping opponents off schedule through the air.

On fourth down he goes for it about as often as his peers do from the same spots (+0.1%). Against what the expected-points model recommends he is −27.9% — the profession as a whole is negative on this.

Illinois has played 2 games against a genuinely tough slate, adjusted for here. That football carries about 0% of what is below; the rest is still the preseason projection.

Projected strengths

  • Offensefirst and second down
    #21
    projected
  • Offensemoving the ball on the ground
    #26
    projected
  • Offensestaying on schedule through the air
    #30
    projected

Projected soft spots

  • Offensehitting chunk plays
    #134
    projected
  • Defensestaying on schedule through the air
    #104
    projected

Each bar is where this team sits in the country. Before the season has produced enough football these are PROJECTIONS — last season regressed to the mean, plus talent, returning production, recruiting and whether the staff is the same one — and the season replaces them as it is played. Head coaches only — there is no free feed for coordinators, so on a program where the head coach does not call the offense this describes the staff he hired. Play-calling identity is a style, not a grade: throwing more than the situations warrant is not better than throwing less than they warrant.

2026 Season Projection

model win prob · 9 to play
4.26.8
projected final record (now 11)
Exp. wins left
3.2
of 9 games
Bowl odds
16%
reach 6 wins
Best odds
66%
vs Michigan State
Toughest
4%
vs Ohio State

How the season could finish · 2026 · chance of each final win total · 9 games left

Every remaining game simulated from the model's win probability for it. Tallest bar is the single likeliest finish, not a prediction that it happens.

12345678910
final winstallest bar = 30% chance
Likeliest finish 4-7 (30%)Bowl eligible 16% · marked on the axis at 6

Player Value

EPA contribution by position group + estimated NIL market value (derived from position rates and on-field production — not actual deal figures).

Unit Value — Total EPA
WRTy Robinson, Collin Dixon +2
+36.6 EPA
QBKatin Houser
+35.8 EPA
RBJordan Anderson, Aidan Laughery +1
+2.1 EPA
TEKaden Feagin, Christian Abney +1
-3.2 EPA

Total EPA produced by each positional group this season. OL value is captured via the rush/pass efficiency of skill players; OL-specific EPA isn't separately reported.

Estimated NIL Market Value
ESTIMATED
QBKatin Houser
~$1.0M
EPA +35.80.596/play60 snaps
WRCollin Dixon
~$404K
EPA +25.71.222/play21 snaps
EPA +5.40.178/play30 snaps
EPA -4.1-0.195/play21 snaps

Estimated from position-group market rates and on-field EPA contribution. Actual NIL valuations depend on social media following, brand fit, and market negotiations — these figures are directional only.

The Five Factors

ranked vs. FBS · bar = better
Efficiency (PPA)
Off0.3164th#51
Def0.2516th#116
Explosiveness
Off1.2040th#83
Def1.3239th#84
Field position
Off71.565th#49
Def68.283rd#24
Finishing (pts/opp)
Off5.0075th#35
Def3.6236th#88
Turnovers
Won 1Lost 1
Margin 0

Opponent-adjusted efficiency

EPA/play vs. schedule
Offense
Defense
Off · pass
0.6083rd#24
Off · rush
0.0430th#97

Pass vs. rush (PPA)

Rushing
Off0.0430th#97
Def0.2314th#119
Passing
Off0.6082nd#25
Def0.2936th#88

Trenches & disruption

Line yards (off)
2.93#85
2nd-level / open-field
0.79 / 0.93
Power / stuff (off)
63.6% / 13.8%
Havoc — total (def)
12.5%#108
Havoc — front 7 / DB
7.4% / 5.1%

Standard vs. passing downs

Pro
Std downs
Off0.26
Def0.22
Pass downs
Off0.46
Def0.29

PPA on each down type (off vs. def).

Opponent-adjusted by down

Pro
1st2nd3rd
Offense0.23#360.45#330.19#115
Defense0.06#970.28#1010.62#102

Elo Trajectory

UABFinal
Elo rating 15631587+24 over season

Team Fingerprint · 2026 · 31 opponent-adjusted metrics · percentile vs 138 FBS teams

Plot these →
worst in FBSbest

Efficiency

  • Offense EPA/play0.5386th
  • Defense EPA/play allowed0.1434th
  • Offense success rate57%82nd
  • Defense success rate allowed43%29th

Downs

  • Offense success — standard downs54%65th
  • Offense success — passing downs67%98th
  • Defense success allowed — standard downs44%43rd
  • Defense success allowed — passing downs40%16th

Explosiveness

  • Offense explosiveness1.475th
  • Defense explosiveness allowed1.246th
  • Offense explosiveness — standard downs1.390th
  • Offense explosiveness — passing downs1.624th

Trenches

  • Offense line yards3.042nd
  • Defense line yards allowed3.318th
  • Offense highlight yards2.180th
  • Defense highlight yards allowed0.4660th
  • Offense power success0.6029th
  • Defense power success allowed0.7548th
  • Offense stuff rate0.2320th
  • Defense stuff rate0.1319th

Third down

  • Third down conversion50%66th
  • Third down distance faced3.099th
  • Third down conversion allowed53%16th
  • Third down distance forced6.631st

Halves

  • Net success rate — first half0.1047th
  • Net success rate — second half0.1054th

Roster

  • Returning usage44%50th
  • Returning EPA83.542nd
  • Team talent composite70464th
  • Recruiting class rank24.083rd
  • Recruiting class points23083rd

Every metric is opponent-adjusted and ranked so that higher is always better — a defensive rate that is good when low is ranked accordingly. Sack and tackle-for-loss composition are deliberately absent: their relationship to team quality is a measured null, so they carry a style rather than a rank, and they appear in the pressure signature instead.

Intelligence Report

Offensive DNA

EPA/play
+0.310#51 · average
Pass EPA/play
+0.602#25
Rush EPA/play
+0.045#97
Explosiveness
1.203#83
Pts/opportunity
5.00#35
Success rate
51.8%

Pass efficiency edge: 0.558 EPA/play

🛡

Defensive Identity

Disciplined defense — allowing above-average EPA/play
EPA/play allowed
+0.245#116 · bottom 20%
Havoc rate (total)
12.5%#108
Front-7 havoc
7.4%
DB havoc
5.1%
Big play rate allowed
1.316#84
Success rate allowed
43.2%

Disruption comes evenly from front and secondary.

📊

Season Signature

Points per game
34.5
Points allowed/game
27.0
Scoring margin/game
+7.5
Turnover margin
+0won 1 · lost 1
Production returning
21%
Talent rank (247)
#51

1-1 record through 2 games.

Team Shape · percentile vs. FBS · dashed = 50th

OFFENSE64thEXPLOSIVENESS40thFINISHING75thFIELD POS65thDEFENSE16thHAVOC22th50th100th
Offense
64th
Explosiveness
40th
Finishing
75th
Field Pos
65th
Defense
16th
Havoc
22th

Each axis = national percentile rank. 100th = best in FBS, 0th = worst. Defense and Havoc are oriented so higher = better.

CORE efficiency · situation and opponent removed

Points per 100 plays above average, after the game state is regressed out of every snap and the schedule is solved out across the whole league. The version of this team’s efficiency that can be compared to a team it never played.

Overall
+6.7
#45
Offense
+7.3
#28
Defense
+0.6
#76
Full CORE ratings →

Play-calling identity

Against what the league calls from the same down, distance, field position, score and clock — so this is the staff, not the game script.

Pass rate
41.5%
Expected, given the spots
38.6%
Over expected
+2.8
Fourth down vs peers
+28
Fourth down vs the model
+0
All play-calling tendencies →

National Landscape · 2026 FBS · offense vs. defense EPA/play

Each dot = one FBS team. Illinois is highlighted. Tap or hover a dot for details.

ELITEDEF. FORTRESSOFF. POWERHOUSEREBUILDING-0.100.00+0.10+0.20+0.30-0.050.00+0.10+0.20Offensive EPA/play← worsebetter →Defensive EPA allowed/play← worsebetter →

Similar Programs

Teams with the closest offense + defense efficiency profile to Illinois in 2026

by EPA/play distance
StanfordSP+ -4.7
Off EPA/play +0.278Def EPA/play +0.244Elo 1354
Match
99%
PurdueSP+ +1.2
Off EPA/play +0.351Def EPA/play +0.210Elo 1318
Match
97%
HoustonSP+ +6.5
Off EPA/play +0.312Def EPA/play +0.183Elo 1514
Match
97%
Florida StateSP+ +6.9
Off EPA/play +0.242Def EPA/play +0.268Elo 1557
Match
97%
North TexasSP+ -13.2
Off EPA/play +0.307Def EPA/play +0.169Elo 1590
Match
96%
App StateSP+ -7.2
Off EPA/play +0.297Def EPA/play +0.163Elo 1310
Match
96%

Similarity = normalized Euclidean distance on season offensive and defensive EPA/play. Teams within ±0.02 EPA/play on both units score >90%.

Program Trajectory · CORE rating · 20152026 · points per game vs an average FBS team

2015: +2.5, #61 of 1282016: -10.8, #96 of 1282017: -17.4, #114 of 1302018: -15.5, #109 of 1302019: -5.5, #83 of 1302020: -14.3, #107 of 1242021: -6.3, #91 of 1302022: +14.1, #19 of 1312023: +3.3, #50 of 1332024: +7.8, #38 of 1342025: +11.1, #36 of 1362026: +6.7, #45 of 138
20152026
Now +6.7 · #45 of 138Best +14.1 in 2022Worst -17.4 in 2017

Program History

recent seasons
YearOverallConfWin %xWLuck
20261-00-0
100%
0.9+0.1
20259-45-4
69%
7.8+1.2
202410-36-3
77%
8.5+1.5
20235-73-6
42%
5.8-0.8
20228-55-4
62%
10.2-2.2
20215-74-5
42%
5.8-0.8
20202-62-6
25%
2.3-0.3
20196-74-5
46%
5.4+0.6
20184-82-7
33%
4.1-0.1
20172-100-9
17%
2.1-0.1

xW = expected wins from per-game dominance. Luck = actual − expected (positive = won close games).

4.2%of 50,000 simulated 2026 seasons end with them in the field

1-0 so far, projected to finish 6.6-5.4. Wins the Big Ten in 0.5%.

If they finish with…

99%
1 loss
52%
2 losses
1.2%
3 losses
0%
4 losses

Their chance of making it at each final loss count. Better than even up to 2.

down 4.5 points since preseasonwon 42-23 over UAB against an expected margin of +30, so 11.3 against the number.

  • At 2 losses they are 52% where the average Big Ten team is 72%.
  • The Big Ten takes 3.19 bids in an average season, and four or more in 37%.

Illinois’s own turning points

Points of playoff probability between winning and losing.

  • wk4at Ohio State21.0
  • wk8vs Oregon13.8
  • wk12vs Iowa8.7
  • wk11at UCLA8.1
  • wk10vs Nebraska6.9
  • wk13at Northwestern6.6

Who to root for

Games Illinois is not in that move its odds most. Same units, much smaller scale.

  • wk12Michigan State over Oregon1.0
  • wk2Oklahoma State over Oregon1.0
  • wk2Oregon State over Texas Tech0.9
  • wk6Maryland over Ohio State0.9
  • wk6Kent State over Western Michigan0.9
  • wk2Georgia Tech over Tennessee0.8
The full playoff picture →

Big Ten

0-0 in league play, projected 4.0-5.011 of 18 by title odds
0.5%
Wins the Big Ten
1.8%
Reaches the title game

The Big Ten sends its top two by conference winning percentage, head-to-head breaking a tie. The last berth is level on percentage in 50% of simulated seasons, so a tiebreaker decides it about that often.

  • wk4Illinois at Ohio State4.7
  • wk8Oregon at Illinois2.2
  • wk12Iowa at Illinois1.2
  • wk11Illinois at UCLA1.1

Points of title probability riding on each result. The whole Big Ten race →

If not the playoff, then

70%
Bowl eligible
63%
Placed in a bowl
4.2%
In the playoff
33%
Season over in November

Illinois is 1-0 and needs 5 more wins from 11 games to reach the six that make a team eligible — at most one of which may come against an FCS opponent. In 2.9% of seasons they get there and still go nowhere: there are more eligible teams than seats.

  • GameAbove Sports Bowl8.1%
  • Rate Bowl8.0%
  • LA Bowl7.8%
  • Pinstripe Bowl7.5%
  • Las Vegas Bowl6.7%
  • Music City Bowl5.6%

Every bowl, and how each one picks →

Recruiting Pipelines

since 2010

Of the 170 high-school programs with a pipeline page here, 9 have sent Illinois a player since 2010 — 27 signees between them. Where they signed, not where they were offered, and not a complete list of Illinois's feeder schools: only these 170 have the outcome history to measure.

High schoolSignedDrafted
St. Thomas AquinasFL70
Brother RiceIL50
BolingbrookIL30
LakewoodFL30
WestlakeGA30
Hinsdale CentralIL21
East LakeFL20
Pine ForestFL11
All 170 high-school pipelines →
✓/✗ = whether our pregame model picked the winner. Win % & projections from the Gridpex model. Data: CollegeFootballData.