Week 7 • October 17, 2026, 04:00 AM UTC
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Big Ten
Power Rank: 1.3
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Big Ten
Power Rank: 1.4

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UCLA (power rating: 1.4) and Wisconsin (1.3) are rated essentially even on a neutral field by Blue Chip Analytics. UCLA's home field advantage (Blue Chip HFA: 2.2) is the primary differentiator at Rose Bowl. Wisconsin travels 1,663 miles for this game — check the travel panel for rest and body clock context. See Line Value below.

General Information

Week: Week 7
Kick Off (at stadium): 09:00 PM PDT
Stadium: Rose Bowl
Capacity: 89,702
Elevation: 810 ft
HFA Rating: 2.2
Playing Surface: Grass

Betting Information

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Total (O/U) -
Odds Implied Score -
Power Rank Implied Line Pick

Line Value Calculator

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Wisconsin
UCLA
Home field — Rose Bowl
Weather: Clear
Travel impact

Positive adjustment = favours home team

Does weather affect Wisconsin vs UCLA at Rose Bowl?

Game-time forecast at Rose Bowl shows Clear — 61.5°F, Feels Like 53.4°F with winds of 1.6 mph. Weather is not expected to be a meaningful factor in this game. The weather adjustment has been pre-filled in the Line Value Calculator above — adjust manually if conditions change before kick-off.

Weather Conditions

Forecast for: July 05, 2026
Clear

Clear

61.5°F

Feels Like: 53.4°F
Wind: 1.6 mph ESE
Gusts: 3.1 mph
Precipitation: 0.0"
Humidity: 48%
Rain Chance: 2%
Snow Chance: 0%

Travel & Rest

Wisconsin (Away)

This Week: 1662.8 miles
Last Week: No Game
Season Total: 3132.1 miles
Body Clock Time: 23:00
Rest Days: 14

UCLA (Home)

This Week: 0.0 miles
Last Week: 1462.8 miles
Season Total: 6742.4 miles
Body Clock Time: 21:00
Rest Days: 7

What are the key factors for Wisconsin vs UCLA?

Wisconsin: Key Factors

New-look offense vs. Notre Dame's defense

Wisconsin's offense is completely revamped with transfer QB Colton Joseph, new RBs, and a rebuilt O-line. Joseph's rushing ability and downfield passing could be key against a Notre Dame defense that will be tested early. The Badgers' poor passing and scoring offense last season (81 points in 9 conference games) makes this a critical test of the new system.

Defensive depth and secondary strength

Wisconsin returns standout LBs Cooper Catalano and Mason Posa, and added four transfer cornerbacks (Cai Bates, Eric Fletcher Jr., Javan Robinson, Bryce West) plus safety Marvin Burks Jr. This depth should help contain Notre Dame's passing attack, especially if the pass rush from Nicolas Clayton and Jaylen Williams improves.

Special teams improvement under new coordinator

The Badgers hired a full-time special teams coordinator (Bob Ligashesky from Minnesota) and have a redshirted kicker Gavin Lahm with a big leg. Punt returns were a weakness (7.8 avg, many fair catches), so this unit's performance in a neutral-site game with light rain and wind could be a deciding factor.

Neutral-site game with weather challenges

The game is at a neutral site with a forecast of light rain, 56°F, and 13 mph wind. Wisconsin's run-heavy offense (with Joseph's mobility and RBs Abu Sama III and Bryan Jackson II) may be better suited to these conditions than a passing attack. The Badgers' travel is minimal (120 miles), which could be a slight advantage.

Program trajectory and coaching pressure

Luke Fickell is 17-21 at Wisconsin, and the team is coming off a season where an opposing coach noted they 'scored 81 points in nine conference games.' This opener against Notre Dame is a chance to show progress with a favorable schedule ahead. A strong performance could build momentum, while a poor one might raise questions about the rebuild.

UCLA: Key Factors

New-look roster cohesion under first-year coach

UCLA enters the season with a largely overhauled roster under new head coach Bob Chesney, including key transfers from James Madison and other programs. The team's success hinges on how quickly these new pieces—especially along both lines and at receiver—can gel in a challenging road opener at Cal.

Nico Iamaleava's dual-threat ability is the offensive engine

Quarterback Nico Iamaleava returns as the centerpiece, combining a 64.4% completion rate with 505 rushing yards last season. His mobility and willingness to take hits are critical, but scouts question his downfield accuracy under pressure. Cal's defense will likely focus on containing his runs and forcing him to throw from the pocket.

Defensive strength in secondary vs. Cal's passing attack

UCLA's secondary is the defense's strongest unit, with returning safety Cole Martin, cornerback Rodrick Pleasant, and nickel Scooter Jackson, plus impact transfers like Utah safety Tao Johnson. This group should be well-equipped to handle Cal's passing game, especially if the Bruins can generate pressure with a rebuilt defensive line.

Weather and travel factors favor a low-scoring, grind-it-out game

The Bruins travel 343 miles to Berkeley, facing a forecast of light rain, 51°F, and 9 mph wind. These conditions typically suppress scoring and favor teams that can run the ball effectively. UCLA's running back duo of Wayne Knight and Anthony Woods will be crucial in controlling the clock and keeping the game manageable.

Special teams reliability provides a safety net

Placekicker Mateen Bhaghani has made 83% of his career field goals, including 39-of-45 inside 50 yards, while punter Curtis Gerrand averaged 43 yards per punt last season. In what could be a tight, low-scoring affair, field position and kicking accuracy may prove decisive for UCLA.

What do the matchup numbers say?

Wisconsin travels 1,663 miles to this game, a cross-country trip.

Wisconsin arrives with a 2-hour body clock disadvantage.

How do Wisconsin and UCLA compare on power ratings?

Blue Chip Analytics power ratings rate Wisconsin (1.3) and UCLA (1.4) as essentially equal on a neutral field. In this range, HFA, travel, rest, and weather context carry more weight than the raw rating differential. UCLA brings a meaningful home field advantage to this matchup (Blue Chip HFA: 2.2). Add this to the neutral-site differential to arrive at a venue-adjusted line.

Blue Chip Analytics power ratings represent expected point margin against an average FBS opponent on a neutral field, calculated from game data sourced via CollegeFootballData.com (CFBD). They are one input — cross-reference with the travel, rest, and weather data above before drawing conclusions.

Sources

Weather

Blue Chip Analytics rates Wisconsin and UCLA even on a neutral field — HFA and game-day conditions are the deciding factors.