5% GAME OF WEEK + THREE 4% BEST BETS | 5% PLAYS: 5-1 (83%) RUN | 4/5% BEST BETS: 4-0 (100%)

THE PLAY: Utah Mammoth -112

Utah enters Saturday's matchup against Ottawa with a significant offensive advantage, particularly on special teams, where the Mammoth lead the NHL with an exceptional 38.3% power-play conversion rate. Logan Cooley has been virtually unstoppable, scoring 10 goals in his last seven games, including two hat tricks in his previous four appearances. Cooley scored twice on the power play in Thursday's 5-4 overtime loss to Montreal, while Nick Schmaltz added another man-advantage goal, illustrating Utah's ability to capitalize on opposing penalties. Ottawa faces an especially difficult defensive assignment without starting goaltender Linus Ullmark, who is unlikely to return Saturday because of a lower-body injury. Ullmark was outstanding before being sidelined, compiling a 7-1 record with an NHL-leading 1.33 goals-against average and .945 save percentage, making his absence a substantial downgrade for the Senators. Samuel Ersson performed well in Wednesday's 2-1 win over Buffalo, but Ottawa's injury-depleted lineup now faces a far more explosive opponent. The Senators have also struggled to stay consistent, going 11 consecutive games without back-to-back wins, while Utah has shown it can generate offense even when its results have fluctuated. The Mammoth's 5-4-1 record over their last 10 games is less impressive than their underlying offensive potential, but their elite power play provides a decisive matchup advantage against an Ottawa team missing its most reliable defensive contributor. Utah also benefits from an advantageous historical profile as a moderate road favorite coming off a loss against an opponent coming off a victory. With Cooley playing at an exceptional level and Ottawa's goaltending compromised, the Mammoth have the firepower to exploit the Senators' defensive vulnerabilities and secure the road win.

My technical database provides further support for Utah:

• Play On: Road favorites priced at -165 or better against opponents with an equal or inferior winning percentage are 2940-2113 (58.2%) since 2000, generating +192.9 units and a +2.9% ROI;

• Play On: Road favorites priced better than -210 coming off a loss against opponents coming off a win with an equal or inferior winning percentage are 575-389 (59.6%) since 2003, generating +49.0 units and a +3.7% ROI;

• Play On: Road favorites coming off games in which they scored at least two power-play goals are 195-118 (62.3%) since 2003, generating +14.9 units and a +3.0% ROI;

• Play On: .401 or greater road favorites vs. opponents also winning at least 40.1% of their games are 2749-1909 (59.0%) since 2007, generating +159.4 units and a +2.5% ROI;

• Play On: Road favorites with fewer than three days of rest and another road game on deck are 2420-1602 (60.2%) since 2003, generating +103.7 units and a +1.7% ROI.

Utah's league-leading power play, Cooley's exceptional scoring form, and Ottawa's uncertainty in goal create a favorable matchup for the visitors. The Mammoth's offensive firepower, supported by multiple historically profitable road-favorite systems, provides the foundation for backing Utah to rebound from Thursday's overtime defeat. Take Utah as Jeff Keim's Free Pick Winner for Saturday, November 7.

THE PLAY: Rutgers +17.0 (-110)

Rutgers enters Saturday’s Big Ten matchup as a substantial road underdog, but the number appears aggressive for a Wisconsin team whose defense has been substantially better than its offense. The Badgers are 5-3 but enter off a 30-0 loss at Iowa, while Rutgers was considerably more competitive in a 28-21 loss to Michigan. Wisconsin deserves to be favored, especially at home, but covering 15.5 requires the Badgers to win by at least 16 points with an offense that has struggled to sustain and finish possessions consistently. The Badgers rank 37th overall with a 9.0 rating and 15th defensively at 18.0, but their offensive rating is -0.7, ranking 74th. Wisconsin’s efficiency metrics are even less encouraging, with the Badgers generating only a 38.7% offensive success rate, ranking 115th nationally, while averaging just 3.20 points per scoring opportunity and a 37.5% rushing success rate. Wisconsin’s 30-0 loss to Iowa exposed those limitations, as starting quarterback Colton Joseph was eventually replaced by freshman Ryan Hopkins, who completed 8 of 13 passes for 93 yards with an interception. Joseph has otherwise produced 1,346 passing yards with 11 touchdowns and no interceptions while adding 371 rushing yards and four scores, but his struggles against Iowa highlighted the volatility of an offense that has not consistently created separation.

The most appealing element of the Rutgers offense is its ability to create explosive plays. The Scarlet Knights rank ninth nationally in overall explosiveness and fourth in passing explosiveness while averaging 8.2 yards per pass attempt with 17 passing touchdowns. That big-play ability is particularly valuable for a substantial underdog because Rutgers does not need to consistently manufacture long scoring drives against Wisconsin’s defense. One or two explosive completions can flip field position, generate quick points, and dramatically change the margin required from a Wisconsin offense that has struggled to sustain efficiency. Rutgers remained within one possession of Michigan despite completing only three passes, losing 28-21. Adding a more functional passing component would increase the Scarlet Knights’ ability to capitalize on their season-long explosiveness and create the handful of scoring possessions they may need to stay inside this number.

The projected pace also favors the underdog. Rutgers averages approximately 28.4 seconds per play compared with 28.9 for Wisconsin, so neither team is likely to maximize possession volume. That style benefits Wisconsin from a straight-up perspective because its defense can control the game and reduce variance, but it works against the Badgers from a point-spread standpoint. The Scarlet Knights’ 2-6 record puts them in an uncomfortable spot, and their season includes several poor performances. However, Rutgers has also shown it can stay competitive against quality opponents, losing 42-35 to USC, winning 37-30 at Maryland, and staying within seven points of Michigan. Wisconsin presents a different challenge because the Badgers have been built primarily around defense and game control rather than an explosive offense that can quickly turn a one-possession game into a blowout. Ultimately, this investment is predicated on the price, Wisconsin’s offensive limitations, and the expected low-possession environment.

My technical database provides additional support for Rutgers:

• Play On: Road teams facing opponents that were shut out in their previous game are 274-219 ATS (55.6%) since 1993, generating +33.1 units and a +6.1% ROI;

• Play On: Road teams with seven or fewer days of rest facing opponents coming off a shutout loss are 176-119 ATS (59.7%) since 1999, generating +45.1 units and a +13.9% ROI;

• Play Against: Home favorites coming off games in which they scored fewer than ten points are 409-317 ATS (56.3%) for bettors fading those favorites since 2004, generating +60.3 units and a +7.5% ROI;

• Play On: Conference road underdogs of at least three points in games with totals below 46 are 493-361 ATS (57.7%) since 2000, generating +95.9 units and a +10.2% ROI;

• Play On: Conference underdogs of 6 to 24 points in games with totals between 37 and 46 during the first 12 weeks of the season, vs. opponents that missed the previous season's playoffs, are 328-210 ATS (61.0%) since 1989, generating +97.0 units and a +16.4% ROI;

• Play On: Conference road underdogs of 6 to 20.5 points in games with totals between 40.5 and 47.5 during weeks 4-12 vs. opponents that missed the previous season's playoffs are 332-244 ATS (57.6%) since 1989, generating +63.6 units and a +10.0% ROI.

Ultimately, the value lies in the relationship between Wisconsin’s strengths and the spread size. The Badgers are clearly the better defensive team and deserve to be favored, but their underlying offensive efficiency makes laying more than two touchdowns difficult to justify. Rutgers possesses enough explosiveness to manufacture points without consistently sustaining drives, while the deliberate pace and low total should reduce Wisconsin’s opportunities to build a margin. Take Rutgers as Jeff Keim's Free Pick Winner for Saturday, November 7.

THE PLAY: Total Under 51.0 (-110)

Iowa State travels to Waco after a remarkable 51-49 victory over Oklahoma State, but that 100-point shootout creates a misleading perception of the Cyclones’ offensive ceiling. Underlying efficiency metrics point to a substantially different environment against Baylor, whose defense has been one of the strongest components of its statistical profile. The Bears allow only a 34.2% offensive success rate, ranking 11th nationally, and just 2.29 points per scoring opportunity, fifth nationally. Those metrics matter especially for an Under because they show Baylor has been effective not only at preventing sustained drives, but also at limiting touchdowns once opponents reach scoring territory.

The matchup becomes even more difficult for Iowa State through the air. Baylor allows only a 35.9% passing success rate, 6.3 yards per attempt, and negative-0.07 passing points per play. The Bears have also generated 34 sacks and forced 15 turnovers while surrendering only seven passing touchdowns. That profile presents a significant challenge for an Iowa State offense that ranks 89th nationally in passing success rate, 109th in passing yards, and 111th in overall offensive success rate at 39.0%. The Cyclones may have produced 51 points last week, but their season-long efficiency suggests that performance was well above their offensive baseline. Baylor’s pass rush is particularly relevant because pressure can create drive-killing plays that suppress scoring without necessarily generating turnovers. Sacks increase the likelihood of obvious passing situations, punts, and longer field-goal attempts, while quarterback pressure makes it harder for Iowa State to consistently generate the explosive completions needed to overcome poor down-to-down efficiency. Against a defense that can win early downs and create negative plays, the Cyclones should find it much harder to replicate last week’s scoring pace.

The rushing matchup provides little relief. Baylor is allowing only a 32.0% rushing success rate, ranking seventh nationally, with a negative-0.13 rushing PPA. Iowa State enters with just a 38.7% rushing success rate, meaning the Cyclones may struggle to lean on the ground game to stay ahead of the chains and neutralize Baylor’s pass rush. If Iowa State cannot consistently run efficiently on early downs, the offense becomes increasingly dependent on converting obvious passing situations against the strongest area of Baylor’s defense. Tempo should also help the Under. Iowa State operates at approximately 29.3 seconds per play, giving the Cyclones one of the more deliberate offensive profiles in the matchup. That approach reduces possession volume and becomes especially important if Baylor’s defense consistently forces Iowa State into longer drives.

Baylor’s faster pace of approximately 22.6 seconds per play represents the primary concern, but pace alone does not guarantee points. The Bears rank only 114th nationally in offensive success rate at 38.7%, including a 40.1% rushing success rate that ranks 104th. Baylor is also generating a relatively modest 3.39 points per scoring opportunity. Iowa State’s defense has vulnerabilities, but Baylor has not shown the down-to-down offensive efficiency needed to consistently turn additional possessions into touchdowns. That distinction is critical to the handicap. The Under does not require Iowa State’s defense to dominate. It requires the Cyclones to provide enough resistance against an inconsistent Baylor offense while the Bears’ defense pulls Iowa State significantly below last week’s extraordinary scoring output. With Baylor able to control the matchup defensively, the Bears have little reason to turn this game into a high-variance shootout if they establish an advantage.

My technical database further supports that regression thesis. Conference road teams coming off a home game in which they scored at least 50 points, beginning with their fifth game of the season and playing with fewer than 10 days of rest, have produced a 296-228 Under record (56.5%) since 1989, generating +45.2 units and a 7.8% ROI. A broader version involving road teams following 50-plus-point home performances has gone 547-443 to the Under (55.3%), producing +59.7 units and a 5.5% ROI. Conference games involving a team coming off a contest in which it scored at least 30 points after its opponent scored more than 48 have gone 316-222 to the Under (58.7%), generating +71.8 units and a 12.1% ROI. These systems reinforce an important concept: extreme scoring performances can inflate expectations for the following game, particularly when the next opponent presents a materially stronger defensive challenge.

Baylor can disrupt the pass, win early downs, limit scoring opportunities, and force an inefficient Iowa State offense to sustain drives rather than relying on last week’s unusually productive scoring environment. Take the Under as Jeff Keim's Free Pick Winner for Saturday, November 7.