Oskeim Sports

Oskeim Sports

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

CFB 5% PLAYS: 2-0 (100%) & 4-1 (80%) | CFB BEST BETS: 8-2 (80%) | #1 CAPPER L/30 DAYS ••

• Highest-Rated Package Ever at WagerTalk! Jeff is on a RED-HOT 8-2 (80%) run on CFB 4%/5% plays!

• How Rare Are Jeff's 4%/5% Releases? Jeff is 294-220 (+97% Gain) All-Time, for a total of 517 plays. Fewer than 1/4 have been 4% or 5% releases!

• Jeff is the #1 Capper L/30 Days (39-18; 68.4%) & is on a 24-10 (71%) FOOTBALL HEATER

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Oskeim Sports | Client Messages

Last updated: Nov 3, 6:37 AM EST

BEST BET RELEASE TIMES

Weekdays (Monday-Friday): All Best Bets posted by 1:00 PM ET on game day.

Weekends (Saturday-Sunday): All Best Bets posted by 12:00 PM ET on game day.

Important: Weekend Best Bets are often released several days in advance to maximize line value. The noon deadlines represent the latest posting times, not when releases necessarily begin.

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More From Oskeim Sports

Picks pending, please check back later
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Free Picks

Sport
Game Selection
Game Time
CFB
(359) Rutgers at (360) Wisconsin: Spread
4:15pm EST - Nov 7/2026

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.

Sport
Game Selection
Game Time
CFB
(309) Toledo at (310) Sacramento St: Spread
7:00pm EST - Nov 4/2026

THE PLAY: Toledo -25.5 (-108)

Toledo enters Wednesday night's matchup with a clear advantage in offensive efficiency, quarterback production, and defensive performance against a Sacramento State team that has struggled to stay competitive all season. The Rockets are 6-2 and rank tenth nationally in yards per game at 475.5, while Sacramento State is just 2-7 despite facing one of the nation's weakest schedules. Toledo's offense is particularly dangerous through the air, averaging 8.7 yards per pass attempt and generating 0.39 passing points per play, with an impressive 48.0% passing success rate. That production creates a significant mismatch against a Sacramento State defense allowing 7.6 yards per pass attempt, 0.26 passing points per play, and a 1.65 passing explosiveness rating. Toledo quarterback John Alan Richter is coming off an outstanding performance against Western Michigan, completing 29 of 41 passes for 391 yards and three touchdowns while leading an offense that totaled 595 yards and 32 first downs. The Rockets also possess a reliable ground attack, highlighted by CJ Miller's 183 rushing yards against Western Michigan, providing the offensive balance necessary to exploit Sacramento State's defensive vulnerabilities.

The Hornets have been among the nation's least efficient offensive teams, producing a 37.9% overall success rate, ranking in the bottom 15 nationally, while averaging just 2.66 points per scoring opportunity. Sacramento State's passing attack has been particularly ineffective, generating essentially zero passing points per play with a 35.8% success rate and only 5.6 yards per attempt, ranking near the bottom nationally in all three categories. Toledo's defense presents a difficult matchup for that struggling offense, allowing just a 32.9% overall success rate and an exceptionally low 28.6% rushing success rate, ranking among the nation's best in both categories. The Rockets have also limited opposing quarterbacks to a 54.0% completion rate and 6.0 yards per attempt, making sustained scoring drives particularly difficult for a Sacramento State offense that has exceeded 17 points only twice this season. Toledo has scored at least 34 points in all six victories and has converted an impressive 94.1% of its red-zone opportunities, demonstrating its ability to turn offensive possessions into points. Sacramento State's 31-10 victory over Kent State does little to change the underlying matchup, as the Hornets managed just 278 total yards and committed ten penalties for 89 yards against another struggling opponent.

My technical database further supports Toledo:

• Play On: Double-digit MAC favorites playing on days other than Saturday are 111-89 ATS (55.5%) since 2000, generating +13.1 units and a +6.0% ROI;

• Play On: Teams with at least seven days of rest, coming off games in which they attempted 13 or fewer third downs against opponents penalized at least seven times, are 450-368 ATS (55.0%) since 2015, generating +45.2 units and a +5.0% ROI;

• Play On: Double-digit conference road favorites in their fifth game or later, facing opponents coming off victories who missed the previous season's playoffs, are 168-127 ATS (56.9%) since 2009, generating +28.3 units and a +8.7% ROI.

Toledo's offensive efficiency, explosive passing attack, and outstanding defensive success-rate metrics create an excellent opportunity to overwhelm a Sacramento State team that has struggled against considerably weaker competition. The Rockets should control the line of scrimmage, generate consistent scoring opportunities, and limit a one-dimensional Hornets offense that has rarely sustained drives. Take the Toledo Rockets as Jeff Keim's Free Pick Winner for Wednesday, November 4.

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Last 20

Date
Sport
Pick
Result
Nov 03
NHL
Utah Mammoth -130
(Analysis)
Win
Nov 03
NHL
Anaheim Ducks -150
(Analysis)
Win
Nov 03
NHL
Tampa Bay Lightning -250
(Analysis)
Win
Nov 03
NHL
Tampa Bay Lightning -1.5 (100)
(Analysis)
Win
Nov 02
NBA
Toronto Raptors -4.5 (-115)
(Analysis)
Win
Nov 02
NHL
Colorado Avalanche -1.5 (106)
(Analysis)
Win
Nov 02
NHL
Colorado Avalanche -230
(Analysis)
Win
Nov 02
NHL
Vegas Golden Knights -112
(Analysis)
Loss
Nov 01
NFL
Baltimore Ravens +3.0 (-102)
(Analysis)
Loss
Nov 01
NFL
Los Angeles Chargers +6.5 (-102)
(Analysis)
Loss
Oct 31
CFB
Louisiana Tech -5.5 (-106)
(Analysis)
Win
Oct 31
CFB
Coastal Carolina +6.5 (-105)
(Analysis)
Win
Oct 31
CFB
(205) Colorado State at (206) Utah State: Total Total Under 63.5 (-110)
(Analysis)
Win
Oct 30
NHL
Florida Panthers -1.5 (114)
(Analysis)
Win
Oct 30
NHL
Florida Panthers -218
(Analysis)
Win
Oct 30
NHL
Seattle Kraken -115
(Analysis)
Loss
Oct 29
NHL
Buffalo Sabres -136
(Analysis)
Win
Oct 29
NFL
Carolina Panthers +4.0 (-110)
(Analysis)
Loss
Oct 29
NHL
Dallas Stars -160
(Analysis)
Loss
Oct 29
CFB
North Texas -13.5 (-110)
(Analysis)
Loss
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Consultant Bio

Oskeim Sports Consulting, LLC was established in 2007 and is an internationally recognized sports handicapping service that delivers an unparalleled return on investment for sports bettors.

Jeff has received 73 distinguished awards in football, basketball, baseball, and hockey, including 15 handicapping championships and 53 Top 5 finishes.

Fifteen #1 Handicapping Titles

  • 4 in MLB
  • 3 in NCAA Football
  • 2 in All Sports Combined
  • 2 in NBA
  • 2 in NFL
  • 1 in NCAA Basketball
  • 1 in NHL

Throughout his handicapping career, Jeff has been featured in some of the nation’s top media outlets, including ESPN, Sports Illustrated, and The Washington Post.  Jeff has also been a featured handicapper at the most prestigious gambling websites, including WagerTalk.com from 2015 to 2021!  

Jeff’s tireless work ethic and analytical skills, which allowed him to develop a successful law practice, remain the key components to his success as a professional handicapper. Jeff’s proprietary research utilizes advanced analytics, computer algorithms, math models, and one of the most extensive technical databases in the industry.  

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