Short Answer

UCLA is expected to win against Illinois, though significant offensive line injuries and a stalled offense since Week 6 suggest a closer contest than the market's 78.0% implies.

1. Market Behavior & Drivers

The market's sharpest move, a 25 percentage point spike on October 31, was a direct reaction to UCLA's 27-0 victory over Nevada. That win improved UCLA's record to 8-0 for the first time since 2005 and lifted the team to a No. 4 national ranking, causing traders to reprice UCLA's probability of victory from 55% to 80%.

Since that peak, the contract has softened slightly to 78%. This level appears to reflect a market balancing UCLA's undefeated 9-0 record and projected College Football Playoff bye against Illinois' own recent performance. Illinois enters the game on a four-game winning streak, which includes an upset win over a ranked Oregon team. The current price indicates UCLA is a clear favorite, but not overwhelmingly so, with the market pricing in Illinois' demonstrated strength.

UCLA remains favored due to its 9-0 record and elite defense.
However, key offensive line injuries impact UCLA's stalled rushing offense.
Illinois' prolific passing offense may capitalize on UCLA's offensive struggles.

Who Wins and Why

Outcome	Market	Model	Why
UCLA	78.0%	74.8%	UCLA has a strong 9-0 record and an elite defense.
Illinois	24.0%	25.2%	Illinois is on a four-game winning streak, including an upset of No. 16 Oregon.

Current Context

UCLA hosts Illinois, favored in a Friday night matchup broadcast on FOX from the Rose Bowl on November 13, 2026, at 9:00 p.m. ET ^[1]. Undefeated UCLA holds a 9-0 (6-0 Big Ten) record and is projected to receive a College Football Playoff bye ^[1]^[2]. Illinois enters the game 6-3 (4-2 Big Ten) on a four-game win streak, including a 21-10 upset over No. 16 Oregon ^[1]^[3]. Illinois quarterback Katin Houser threw for 292 yards and three touchdowns without turnovers in a November 6 win against Nebraska ^[1]. Wide receiver Collin Dixon ranks among the national leaders, tied for third in receiving touchdowns (12), fifth in receptions (68), and eighth in yards (910) through nine games ^[1]. Illinois' defense, under new inside linebackers coach Roger Cooper following coordinator Bobby Hauck's departure, has allowed fewer than 20 points in its last three games but records only 11 total sacks and ranks last in the Big Ten for passing defense ^[1]^[4]. UCLA's defense allows 14.1 points per game, eighth nationally, and 264.7 total yards, with a +14 turnover margin, third in FBS ^[2]^[4]^[5]. Opponents have averaged 9.3 points per game against UCLA over its last four weeks; however, starting tackle Hall Schmidt and center Riley Robell sustained injuries in the Minnesota game ^[4]^[5]. The all-time series between the teams is tied 6-6, with UCLA winning four of the last five meetings ^[6].

Prediction markets generally favor UCLA with probabilities around 75-78% to win ^[7]^[8]^[9]. Kalshi indicates UCLA at 75-78% (77-78 cents) with a projected ~9.5-point spread and 46.5-point total ^[7]. Polymarket prices UCLA at 77% after fees, while ProphetX shows 78% ^[9]. Robinhood's market prices Illinois at 15-24 cents ^[8]. Sportsbook lines show UCLA as a -385 moneyline favorite with a -10.5 spread and 47.5 total on FanDuel, or a -9.5 spread and 46.5 total on BetMGM ^[2]^[10]. Model predictions also lean toward UCLA, with numberFire giving an 81.4% win probability and BetMGM's model showing 77.5% confidence in a UCLA win ^[2]^[6]^[10]. However, BetMGM's model also predicts Illinois covers the spread with 64.6% confidence ^[10]. SportsLine's 10,000-simulation model favors the Over on the 47.5 total ^[6]. Expert picks are split: Buckeyes Wire's Phil Harrison, Mark Russell, and Alec Lasley all select UCLA ^[3]. Lineups.com predicts UCLA 28-17, suggesting best bets on the Under 47.5 (-105) at FanDuel and UCLA -9.5 (-112) at BetMGM ^[5]. Conversely, JD Yonke of Covers.com picks Illinois +9.5, citing UCLA's offense ranking 86th in success rate and 133rd in explosiveness since Week 6, and last in rushing explosiveness since quarterback Ty Dieffenbach took over ^[4].

Betting trends show strong ATS performance for both teams. Illinois coach Bret Bielema recognized UCLA as a "very confident football team" and cited the expanded playoff as motivation ^[11]. Illinois has covered the spread in both games this season as a 10.5-point or greater underdog ^[2]. UCLA is 9-0 against the spread (ATS) overall and 4-0 ATS when favored by 10.5 points or more ^[2]. Kalshi contracts for the game are set to settle on November 15, 2026 ^[7]. VantagePredictions reports the market settles on Saturday, November 14, 02:00 UTC, with $19,447 in 24-hour volume on Kalshi and $114,478 resting on ProphetX ^[9].

Sources (11)

2. Price Chart

Historical Price (Probability)

Outcome probability

Date

3. Significant Price Movements

Notable price changes detected in the chart, along with research into what caused each movement.

Outcome: Illinois

📉 November 05, 2026: 11.0pp drop

Price decreased from 32.0% to 21.0%

What happened: The prediction market movement described—an 11.0 percentage point drop for "Illinois" on November 05, 2026—is inconsistent with available research. The Illinois vs. UCLA game was scheduled for November 13, 2026 ^[1]^[2]^[3], and documented line movements indicated a smaller shift of approximately 2-2.5 points towards Illinois, rather than an 11.0 percentage point drop ^[4]^[5]^[6]. No evidence was found of any social media activity or viral narrative serving as the direct catalyst for a line movement of this magnitude or direction ^[5]^[7]^[8]^[6]^[9]. Consequently, social media was irrelevant to the described movement, which itself lacks corroboration.

📈 November 04, 2026: 11.0pp spike

Price increased from 21.0% to 32.0%

What happened: The primary driver of the 11.0 percentage point spike for "Illinois" on November 4, 2026, was a USA Today opinion piece published and updated that day at 10:56 a.m. ET ^[10]. The article argued UCLA coach Bob Chesney must leave the team due to "empty-stadium attendance woes" and noted a Florida politician endorsed him for the FSU job ^[10]. This narrative, identified as a "likely social-media catalyst" that fueled the "L.A. yawns" debate, appears to have LEAD the price move by introducing significant uncertainty about UCLA's stability and public support, thus boosting the perceived likelihood of an Illinois upset ^[10]. Social media was a primary driver.

📉 November 03, 2026: 9.0pp drop

Price decreased from 30.0% to 21.0%

What happened: The provided web research does not document any specific event or viral social media catalyst occurring on November 03, 2026, that would explain a 9.0 percentage point drop for the "Illinois" outcome ^[5]. Significant injury news, such as issues for UCLA's Hall Schmidt and Riley Robell or Illinois' Jake Renfro and Will Holmes, and major line movements were reported later in the week, around November 8, closer to the game date ^[5]^[8]^[9]^[11]. Therefore, social media was irrelevant as a primary driver for this specific price movement, as no correlated activity or explanation for the November 3 drop is present in the sources.

📉 November 02, 2026: 11.0pp drop

Price decreased from 33.0% to 22.0%

What happened: The primary driver for an 11.0 percentage point drop in the prediction market for "Illinois" appears to be traditional news concerning injuries to key Illinois players, namely offensive lineman Jake Renfro and defensive lineman Will Holmes ^[9]^[2]^[12]. Reports of their questionable status, particularly Renfro's role as "MVP of the Illini offensive line," emerged after November 6, 2026, within the period of the market movement, likely leading to a decreased outlook for Illinois ^[9]^[2]^[12]^[13]. Social media activity during this time, conversely, featured narratives of Illinois as the "hottest team in the Big Ten," which would typically drive market prices higher for Illinois, making it irrelevant as a cause for the drop ^[5]. Therefore, social media was not a primary driver for this specific decline.

Outcome: UCLA

📈 October 31, 2026: 25.0pp spike

Price increased from 55.0% to 80.0%

What happened: The primary driver of the 25.0 percentage point price spike for UCLA was their dominant 27-0 shutout victory over Nevada on October 31, 2026, which elevated them to an 8-0 record for the first time since 2005 and a No. 4 national ranking ^[14]^[15]^[16]. This impressive win immediately sparked widespread social media activity, with posts celebrating the 8-0 milestone, the shutout, and the 'UCLA defense is insane' narrative ^[17]^[18]. The buzz was further amplified by Dwayne 'The Rock' Johnson's sideline appearance and Hall of Famer Troy Aikman's comments calling UCLA's attendance 'embarrassing', generating multiple viral hooks that coincided with the price move ^[19]^[20]. Therefore, social media was a primary driver, directly reacting to and amplifying the significance of UCLA's commanding performance, signaling increased confidence in their prospects against Illinois.

Sources (20)

4. Market Data

Contract Snapshot

For the Kalshi prediction market on UCLA winning the NCAA Football game against Illinois, a "YES" resolution occurs if UCLA wins the game. Conversely, a "NO" resolution occurs if UCLA does not win the game. The market begins trading on November 13 at 9:00 PM EST, and no special settlement conditions are explicitly detailed in the provided content.

Available Contracts

Market options and current pricing

Outcome bucket	Yes (price)	No (price)	Last trade probability
UCLA	$0.78	$0.23	78%
Illinois	$0.24	$0.77	24%

Market Discussion

Market consensus strongly favored UCLA to win, with real-money trader-implied probabilities generally between 77-78% as of November 13 ^[1]. The principal contrarian thesis suggested UCLA's unbeaten record might overstate its margin potential due to a reportedly slowing offense and offensive line injuries, while Illinois had recent notable wins ^[2]. Total-market commentary diverged, with some sources favoring the Under due to slow pace and strong defenses, and others selecting the Over based on UCLA's offensive efficiency ^[2].

Sources (2)

5. Trust Index

How it adds up

Integrity80% of score84Good

Trade quality20% of score83Good

Includes the cost to trade: a $10,000 order loses under 1% of the price to slippage.

Trust score84Good

Weighted blend with hard caps — a critically weak safety pillar, or a severe trading anomaly, caps the total regardless of the rest. Full methodology · About the Trust Index

Trust profile

Integrity4 screens run · 6 don't apply

6. How does Illinois' prolific passing offense under Katin Houser match up against UCLA's elite, top-10 ranked defense?

Illinois Passing Offense	Approximately 236.9 passing yards per game ^[1]^[2]^[3]
UCLA Opponent Passing Yards Allowed	177 passing yards per game ^[4]^[5]^[6]
UCLA Opponent Third-Down Rate	26.0% (ranked first nationally) ^[4]^[5]^[6]

Illinois' passing offense faces a significant challenge against UCLA's elite defense. Led by Katin Houser, Illinois' passing offense averages approximately 236.9 yards per game and ranks 22nd nationally in adjusted pass offense ^[1]^[2]^[3]. Houser has accumulated 1,955 passing yards, 16 touchdowns, and five interceptions ^[1]^[7]. This unit confronts a formidable UCLA defense that allows only 177 passing yards per game and ranks first nationally in opponent third-down rate at 26.0% ^[4]^[5]^[6].

UCLA's defense excels in limiting points, total yards, and creating turnovers. The Bruins limit opponents to 14.1 points and 264.7 total yards per game ^[4]^[5]^[6]. A significant danger for Illinois stems from UCLA's 27 takeaways, which include 17 interceptions, contributing to a +14 turnover margin ^[5]^[6]. For Illinois to succeed, a tactical key will be achieving early-down conversions to prevent UCLA from establishing third-and-long situations, where their top-ranked third-down defense and pass rush are highly effective ^[4]^[5]^[6].

UCLA is projected to win, with predictions favoring a low-scoring game. The overall forecast anticipates a UCLA victory, most likely by roughly 10–12 points ^[8]^[9]^[10]. A representative projection suggests a score of UCLA 32, Illinois 20, with the game expected to lean toward the under due to UCLA's slow play, efficient defense, and a forecast for rain ^[8]^[9]^[10]. Current prediction market pricing implies an approximate 23% win probability for Illinois versus 77% for UCLA ^[11]^[12]^[13]^[14].

Sources (14)

7. What is the official pre-game injury status for UCLA's key offensive linemen Hall Schmidt and Riley Robell, and how could their absence impact the game?

Hall Schmidt Injury Status	Out (0% to play) ^[1]^[2]^[3]
Riley Robell Injury Status	Questionable (81% to play) ^[1]^[2]^[3]
UCLA Rushing Offense Rank	Dead last in rushing explosiveness, 116th in EPA per rush (since QB change) ^[4]^[5]

UCLA's offensive line faces significant challenges due to key injuries. Offensive linemen Hall Schmidt (#65, OL) is officially listed as out, with a 0% chance to play, while Riley Robell (#51, OL) is questionable, with an 81% chance to play ^[1]^[2]^[3]. Both players sustained injuries in the Minnesota game, and their potential absences are considered a major factor for UCLA's run-first offense, projected to limit the team's overall ceiling ^[4]^[5]. Additional player absences, including offensive lineman Sam Yoon and wide receivers Mikey Matthews and Jalen Saint Paul, further compound these issues ^[6]^[7]^[4].

Offensive line issues have significantly hampered UCLA's overall performance. These ongoing challenges have contributed to a notable decline in UCLA's offensive output since backup quarterback Ty Dieffenbach replaced Nico Iamaleava. The team now ranks last in rushing explosiveness and 116th in EPA per rush, prompting Offensive Coordinator Dean Kennedy to emphasize patient, methodical drives ^[4]^[5]^[6]^[7]^[4].

Analysts expect a controlled UCLA victory despite offensive limitations. Projections suggest a controlled, run-heavy UCLA victory rather than a blowout, reflecting the constraints imposed by the team's banged-up offensive line ^[8]^[7]^[5]^[1]. Predicted scores include UCLA 26–15 by ScoreGPT and UCLA 27–17 by eatwatchbet ^[8]^[7]^[5]^[1]. While Illinois is also dealing with injuries, their stronger offense positions them as an appealing two-score underdog, though SP+ still assigns UCLA an 85% win probability ^[6]^[7]^[4]^[8]^[7]^[5]^[1].

Sources (8)

8. Do advanced statistical models from sources like numberFire and SportsLine support the market's consensus pricing of UCLA as a ~9.5-point favorite?

Market Consensus Spread	Approximately -9.5 to -10 (UCLA) ^[1]^[2]^[3]^[4]
BetMGM Model Illinois Cover Probability	Illinois covers UCLA -9.5 in 64.6% of simulations ^[5]
Havoc Model Projected Spread	UCLA -14.1 ^[1]

Advanced statistical models show mixed support for UCLA's consensus ~9.5-point favorite status. The market’s consensus pricing for UCLA was approximately -9.5 to -10, reflecting a no-vig UCLA win probability around 76.3% and prediction-market prices of 77–78% ^[1]^[2]^[3]^[4]. While specific information from numberFire is not available, SportsLine's 10,000-game simulation indicated a spread side hitting well over 50%, though it did not disclose the favored side ^[6]. Overall, many models predict a UCLA win, but diverge on whether the -9.5 point spread is a clear cover ^[7]^[5]^[8]^[1]^[9]^[10]^[11].

Some models suggest the market spread is fair or favors Illinois. For instance, BetMGM’s model projected UCLA to win 77.5% of the time, but also predicted Illinois to cover UCLA -9.5 in 64.6% of simulations, challenging the idea that UCLA was clearly undervalued against the spread ^[5]. Similarly, SportsHub’s model, which forecasted UCLA as a 74–76% winner, considered the -10 to -10.5 market essentially fair ^[8].

Other models project a more significant winning margin for UCLA, exceeding the market spread. Havoc, for example, projected UCLA -14.1 with an 80% win probability versus a market spread of -10 ^[1], and Redshirt Analytics projected UCLA by 14.6 points with approximately an 81% win probability ^[11]. ATS.io projected UCLA 34–24 and assigned a 56.5% model probability to UCLA -10 covering ^[9], while Kelix projected a 16-point UCLA margin and an 84.5% UCLA win probability ^[10]. These models offer stronger support for UCLA than the market spread, but they are not independent confirmations of specific sources like SportsLine or numberFire ^[9]^[10].

Ultimately, UCLA is favored to win, with spread interpretations varying widely. The strongest conclusion is that UCLA is likely to win, but the assessment of the point spread is either fairly priced, mildly favorable to Illinois, or dependent on the specific model used ^[7].

Sources (11)

9. What are the current moneyline, spread, and total lines for the game across major sportsbooks like FanDuel and BetMGM versus prediction markets like Kalshi?

Consensus Spread	UCLA -10 favorite with -110 odds ^[1]^[2]^[3]
Consensus Total Points	47.5 points (Over -115 / Under -105) ^[1]^[2]^[3]
Kalshi UCLA Win Probability	77-78% ^[4]

Major sportsbooks currently establish UCLA as a -10 favorite for the November 13, 2026 game against Illinois. The consensus spread for UCLA is set at -10 with -110 odds, while the total points line is 47.5, featuring Over at -115 and Under at -105 ^[1]^[2]^[3]. Moneyline odds across major platforms such as FanDuel, BetMGM, DraftKings, and Caesars generally range from Illinois +300 to +310 and UCLA -385 to -395, aligning with these figures ^[1]^[2]^[3]. These lines reflect an adjustment from initial openings, which had UCLA at -12.5 (with moneylines from -500 to -669) and a total points line between 45.5 and 46.5 ^[5]^[6]^[7].

Prediction markets offer a similar outlook, forecasting a strong probability for UCLA to win. As of November 13, 2026, Kalshi indicates a 77-78% probability for UCLA to secure a victory, with Illinois holding a 23-24% chance ^[4]. Kalshi's spread market for 'UCLA wins by over 10.5 points' is at 47-48%, and its total market for 'Over 48.5 points' is at 48% ^[4]. The implied moneyline from Kalshi, accounting for platform fees, is approximately Illinois +296 / UCLA -381, which is reported to be consistent with the roughly +300/-385 consensus seen in sportsbooks ^[8].

Sources (8)

10. How have Illinois and UCLA performed against the spread (ATS) during the 2026 season, especially when facing similar point spreads?

UCLA 2026 ATS Record	9-0 ATS (some summaries), 8-0-1 ATS (another source) ^[1]^[2]
Illinois 2026 ATS Record	5-4 ATS entering November 13, 2026 ^[3]
UCLA Overall ATS Strength	Much stronger in 2026 ^[4]

UCLA demonstrated superior ATS performance compared to Illinois in 2026. During the 2026 season, UCLA recorded a strong against the spread (ATS) record, reported as either 9-0 ATS or 8-0-1 ATS in various summaries ^[1]^[2]. In contrast, Illinois held an approximate 5-4 ATS record as of November 13, 2026, which included a 2-1 ATS record on the road ^[3].

Illinois showed mixed ATS results at similar point spreads. When encountering point spreads comparable to UCLA's approximate -9.5 line for the upcoming game, Illinois's 2026 performance was inconsistent ^[3]^[5]^[6]^[2]. The team secured ATS victories when listed at +10.5 against Ohio State and +4.5 against Nebraska, but failed to cover at -9.5 versus Purdue and -6.5 against Duke ^[3]. UCLA, for its part, successfully covered various listed spreads in 2026, including -2.5 at California, -13.5 versus San Diego State, -13.5 versus Purdue, -2.5 at Maryland, +10.5 at Oregon, -1.5 versus Wisconsin, -16.5 versus Michigan State, -22.5 versus Nevada, and -3.5 at Minnesota ^[3].

UCLA's overall ATS resume is stronger, with market indicating volatility. Overall, UCLA maintained a significantly more robust against the spread résumé for the 2026 season ^[4]. While certain historical situational trends, such as Illinois performing as a significant underdog or UCLA as a long-run home favorite, exist, these factors are considered weak indicators for the specifics of this particular matchup ^[4]. Market probabilities concerning UCLA's potential to cover a 9.5-10.5 spread suggest a high-variance cover decision that is close to efficient ^[7]^[8].

Sources (8)

11. What Could Change the Odds

Key Catalysts

The most significant late information risk centers on personnel availability. Reports list UCLA quarterback Nico Iamaleava as out, with Ty Dieffenbach serving as his replacement; Dieffenbach previously recorded 986 passing yards, 6 touchdowns, and 2 interceptions in five games, and subsequently threw for 303 yards and 3 touchdowns against Minnesota ^[1]^[2]^[3]. Further, multiple UCLA players are questionable or out, alongside several Illinois absences ^[3]^[4]. Official game-day availability for these individuals can move both spread and total markets ^[3]^[4].

Market probabilities can also shift based on team performance trends and sentiment. UCLA enters the contest with a 9-0 record straight up and against the spread ^[5]^[6]^[7]. Their defense has produced a +14 turnover margin, 27 takeaways, and 17 interceptions ^[8]. Illinois, conversely, rides a four-game winning streak, including victories over Oregon and Nebraska ^[2]^[8]. Illinois quarterback Katin Houser threw for 292 yards and 3 touchdowns against Nebraska ^[2]. The market moved from an opening range near -9.5/-12.5 toward approximately UCLA -10 ^[5]^[6]^[7]. Model and analyst estimates place UCLA's win probability between 73.8% and 77.5%, though one spread model gives Illinois a 64.6% chance to cover ^[9]^[6]^[3].

Key Dates & Catalysts

Expiration: November 16, 2026
Closes: November 16, 2026

Sources (9)

12. Keep Exploring

More Football markets See more football setups in the same theme. Browse all Sports markets Keep exploring adjacent sports markets. Track this in the app Open the live app flow and keep following this market in real time.

13. Historical Resolutions

Historical Resolutions: 20 markets in this series

Outcomes: 10 resolved YES, 10 resolved NO

Recent resolutions:

KXNCAAFGAME-26NOV07MSUMICH-MSU: YES (Nov 08, 2026)
KXNCAAFGAME-26NOV07MSUMICH-MICH: NO (Nov 08, 2026)
KXNCAAFGAME-26NOV12ULLULM-ULM: NO (Nov 13, 2026)
KXNCAAFGAME-26NOV12ULLULM-ULL: YES (Nov 13, 2026)
KXNCAAFGAME-26NOV12MEMUSF-USF: NO (Nov 13, 2026)

Illinois vs UCLA

Short Answer

1. Market Behavior & Drivers

Who Wins and Why

Current Context

2. Price Chart

Historical Price (Probability)

3. Significant Price Movements

Outcome: Illinois

📉 November 05, 2026: 11.0pp drop

📈 November 04, 2026: 11.0pp spike

📉 November 03, 2026: 9.0pp drop

📉 November 02, 2026: 11.0pp drop

Outcome: UCLA

📈 October 31, 2026: 25.0pp spike

4. Market Data

Contract Snapshot

Available Contracts

Market options and current pricing

Market Discussion

5. Trust Index

6. How does Illinois' prolific passing offense under Katin Houser match up against UCLA's elite, top-10 ranked defense?

7. What is the official pre-game injury status for UCLA's key offensive linemen Hall Schmidt and Riley Robell, and how could their absence impact the game?

8. Do advanced statistical models from sources like numberFire and SportsLine support the market's consensus pricing of UCLA as a ~9.5-point favorite?

9. What are the current moneyline, spread, and total lines for the game across major sportsbooks like FanDuel and BetMGM versus prediction markets like Kalshi?

10. How have Illinois and UCLA performed against the spread (ATS) during the 2026 season, especially when facing similar point spreads?

11. What Could Change the Odds

Key Catalysts

Key Dates & Catalysts

13. Historical Resolutions

Prediction Markets

Public Markets

Developers

Company

Short Answer

Who Wins and Why

Current Context

Historical Price (Probability)

Outcome: Illinois

📉 November 05, 2026: 11.0pp drop

📈 November 04, 2026: 11.0pp spike

📉 November 03, 2026: 9.0pp drop

📉 November 02, 2026: 11.0pp drop

Outcome: UCLA

📈 October 31, 2026: 25.0pp spike

Contract Snapshot

Available Contracts

Market options and current pricing

Market Discussion

Key Catalysts

Key Dates & Catalysts

Illinois vs UCLA: Spread

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Prediction Markets

Public Markets

Developers

Company