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Kirk Buchner, "The Committee Chairman", is the owner and operator of the site.  Kirk can be contacted at [email protected] .

The opening weeks of an NFL season can quickly challenge confident preseason predictions. A supposed contender may stumble in Week 1 while an overlooked team impresses, leaving bettors to reassess expectations as meaningful regular-season evidence begins to emerge.

That uncertainty gives early-season moneylines a different analytical context from markets later in the schedule. Favorite and underdog labels provide a starting point, but reading them effectively means understanding the break-even probability implied by each price and weighing it against the evidence available.

What Favorite and Underdog Prices Actually Tell You

Moneylines focus on the winner. Minus odds identify the favorite and plus odds the underdog, while the number determines the price attached to each side.

Looking at NFL moneyline odds can put that distinction into clearer betting context, showing how each side of an upcoming matchup is priced. Converting those numbers into raw implied probability shows the break-even percentage associated with each price.

Moneyline

Market position

Implied probability

-200

Clear favorite

66.7%

-150

Moderate favorite

60.0%

+130

Moderate underdog

43.5%

+250

Significant underdog

28.6%

For minus odds, divide the absolute odds by that number plus 100. For plus odds, divide 100 by the odds plus 100. Using these formulas, a -150 favorite therefore carries a 60% raw implied probability, while +130 translates to roughly 43.5%.

These percentages represent break-even points rather than fair estimates of each team's true win probability. Sportsbook prices include a margin, so the implied probabilities for both sides of a matchup can add up to more than 100%.

That distinction changes the question. Instead of simply asking, “Who wins?”, bettors can compare the break-even probability implied by the price with their own estimate of the team's chance to win.

The Added Uncertainty of Early-Season Moneylines

September offers less current evidence than later in the regular season. Previous-year results, offseason acquisitions, draft picks and coaching changes remain part of early market expectations when only one or two regular-season games are available for comparison.

New regular-season information also arrives quickly. An offensive line expected to improve may struggle immediately, while a new coordinator could have an offense functioning smoothly sooner than anticipated. Those early signs can quickly reshape preseason assumptions.

The challenge is avoiding the opposite extreme. One turnover-heavy defeat does not erase an offseason evaluation, just as one dominant victory does not establish a contender. Early results matter, but context determines how much they should change the picture.

When a Favorite's Price Deserves a Closer Look

Favorites can attract attention because backing the team considered more likely to win feels straightforward. The problem is that being the better team and being attractively priced are different questions. The price determines the break-even point attached to that advantage.

Reputation can contribute to particularly short prices early in the season. Last year's playoff teams, star quarterbacks and franchises that made major offseason moves may carry expectations that have not yet been tested under current regular-season conditions.

Imagine a team at -250 in Week 2 after entering the season as a major contender. Its roster looks impressive, but a rebuilt offensive line and new coordinator contributed to an uneven opener. It may still deserve favorite status, but perhaps not such a steep price.

Continuity provides additional information about stability and role familiarity. An established quarterback, returning coaching staff and settled supporting cast add context beyond offseason reputation alone.

The Case for Looking Beyond the Underdog Label

Early-season underdogs present the reverse moneyline pricing challenge. A plus sign says the team is considered less likely to win; it does not necessarily say an upset is unrealistic.

Week 1 can quickly shift early-season market perceptions. A projected contender might lose after four turnovers, then appear at +130 the following week against an unexpectedly impressive winner. Suddenly, one volatile game is competing with months of preseason evaluation.

That is where broader matchup context becomes important. Veteran quarterback play, coaching continuity, line performance and familiarity with a divisional opponent all provide additional matchup context beyond the latest result. Those strengths can matter especially early.

The plus sign itself is never enough, however. An attractive potential return means little unless there is a credible on-field football argument that the underdog's chances are stronger than the price implies. The matchup still needs to support that assessment.

The Factors That Can Shift the Picture Before Kickoff

A Monday moneyline can change significantly by Sunday. Injuries and player availability can reshape a matchup, especially at quarterback, while several absences within one position group can materially compound the effect.

Weather can also matter when conditions genuinely affect how teams are expected to play. Keeping track of upcoming NFL games and props can provide additional matchup context as injuries, player roles and other developments emerge during the week.

The moneyline itself may also respond. A favorite moving from -130 to -160 signals that the overall market picture has changed, although movement alone does not explain why. Team news, player availability, weather and betting activity can all contribute.

The useful question is simple: What changed? Identifying a football-related explanation provides far more context than assuming every move automatically makes one side more appealing.

A Simple Way to Compare Both Sides of the Moneyline

Early-season uncertainty does not require making the process complicated. A consistent routine can help separate meaningful information from the noise surrounding the opening weeks. It also keeps both sides of the moneyline in focus.

A useful five-step approach is:

  1. Translate price into probability. Determine what the moneyline suggests about each team’s chances of winning, 
  2. Separate reputation from evidence. Distinguish preseason assumptions from what regular-season performances have shown, 
  3. Compare continuity and changes. Consider quarterbacks, coaching systems, roster turnover and key position groups, 
  4. Review current matchup information. Factor in injuries, availability, weather and changing player roles, 
  5. Compare your assessment with the price. Decide whether the implied probability fairly reflects both teams’ chances.

Sometimes that process will point toward one side. Other times, the current number may already account for the information available. Recognizing the difference is part of reading the market rather than simply predicting games.

The Picture Gets Clearer Each Week

Early NFL moneylines sit at an unusual intersection between expectation and evidence. A favorite can remain the more likely winner without offering an attractive price, while an underdog can remain competitive without automatically becoming an appealing selection.

Each September game adds another useful piece to the picture. As coaching changes, roster chemistry and player roles become clearer, bettors can rely less on early-season labels and focus more on probability, price and what teams actually show on the field.

Regular visitors to notinhalloffame.com know that we are slowly working on the top 50 of every major team in the NHL, NBA, NFL, and MLB. Once that is done, we will examine how each team honors its past players, coaches, and executives. Eventually, we will do the same with the NCAA. As such, we want to highlight that Georgia Tech has announced its nine-person class of 2026.

The ceremony will take place on October 9, with the Class honored the following day at their home game against Duke.

The Class of 2026 inductees are:

Jeremiah Attaochu, Football, 2009-13.  Playing at Linebacker, Attaochu still holds the school record for Sacks with 31.5 and took the Yellow Jackets to four bowl games.  He went on to have a nine-year NFL career playing for the San Diego Chargers, New York Jets, Denver Broncos, Chicago Bears, and Baltimore Ravens.

Harrison Butker, Football, 2013-16.  Butker is Georgia Tech’s all-time leader in Points (337) and has a win in the Orange Bowl.  He currently plays for the Kansas City Chiefs, where he won three Super Bowls.

Matt Gonzalez, Baseball, 2013-16.  Gonzalez was a First Team All-ACC Selection in 2016 who batted .318 with 20 Home Runs over his four years at Georgia Tech.  He was later drafted by the Atlanta Braves in the fourth round.

Danny Hall, Baseball Head Coach, 1994-2025.  Hall led the Yellow Jackets to seven ACC Conference Regular Season Titles, five ACC Tournament Titles, and three College World Series appearances.  A five-time ACC Coach of the Year, Hall was named the Sporting News National Coach of the Year.  He also boasts a stellar 1,244-676-1 record and saw 146 of his players drafted in MLB.

Grover Hinsdale, Track and Field Coach, 1979-2025.  Over his 46 years as a coach, he was a two-time ACC Coach of the Year and coached three Olympic Gold Medalists and 13 NCAA Championships.

Jerome Miller, Men’s Track and Field, 2005-09.  Miller was a two-time All-American in the High Jump, finishing fourth in the outdoor Championships in 2006 and 2009.  He won the ACC indoor title in 2007 and the outdoor title in 2009.

Jillian O’Neill, Women’s Tennis, 2011-12.  An All-American as a single in both her years at Georgia Tech, O’Neill finished the 2012 season ranked at #12.  She had a 54-29 record for the school.

Seth Reeves, Men’s Golf, 2011-14.  Reeves helped Georgia Tech win three ACC Titles (2011, 2013 & 2014) and reach match play at the NCAA Championships those same three years.  He won three tournaments and posted ten top-ten finishes.

Mike Stamus, Communications Staff, 1983-2025. 

Steve Zelnak, Honorary Letterman Recipient

We here at Notinhalloffame.com would like to congratulate the members of the 2026 Georgia Tech Hall of Fame Class.

Yes, we know that this is taking a while!

As many of you know, we at Notinhalloffame.com are slowly generating the top 50 of each major North American sports team. That being said, we maintain and update our existing Top 50 lists annually.  We are pleased to present our pre-2026 revision of our top 50 Dallas Cowboys.

As for all of our top 50 players in football, we look at the following: 

1.  Duration and Impact.

2.  Traditional statistics and how they finished in the National Football League.

3.  Advanced Statistics.

4.  Playoff performance.

5. Their respective legacy on the team.

6. How successful the team was when he was there.

7. Respecting the era in which they played.

Criteria 1-4 will make up the lion’s share of the algorithm.  Please note that we have implemented this for the first time.  This has changed the rankings all throughout the board.

Last year, Dallas had a mediocre 7-9-1 record and failed to make the playoffs.  There were no new additions but two elevations among active players.

As always, we present our top five, but there were no changes.

1. Emmitt Smith
2. Bob Lilly
3. Roger Staubach
4. Randy White
5. Mel Renfro

You can find the complete list here:

Quarterback Dak Prescott, who added his fourth Pro Bowl, went to #22 from #29.

The second elevation was Wide Receiver CeeDee Lamb, who climbed from  #41 to #33.

We thank you for your continued support of our lists on Notinhalloffame.com.

2000 SEMI-FINAL RESULTS:

Thank you for your participation in the Pro Football Hall of Fame Revisited Project. If you are unaware of what that is, we acted like the PFHOF had its first class in January 1946.

We have completed the years up to 1999.

For “2000,” a Preliminary Vote with nearly 100 players whose playing career ended by 1994. We also follow the structure in which players have 20 years of eligibility, and if they do not make it into the Hall, they are relegated to the Senior Pool.

Each voter was asked to select 25 names from the preliminary list, and the top 25 vote-getters were named Semi-Finalists.

A week later, the voters were asked to pick 15 names from the 25 Semi-Finalists, and next week, they will choose five from the remaining 15. We will continue this process every week until we catch up to the current year.

33 votes were cast, with the top 15 advancing.

This is for the “Modern Era”

Bold indicates they advanced to the Finals: 

Player

Year of Eligibility

Vote Total

Joe Montana QB

1

32

Ronnie Lott DB

1

30

L.C. Greenwood DE

14

25

James Lofton WR

2

25

Bob Griese QB

15

22

Cliff Harris S

16

20

Roger Craig RB

2

19

Sterling Sharpe WR

1

19

Floyd Little RB

20

18

Ken Stabler QB

11

18

Lester Hayes DB

9

18

Joe Klecko DE-NT

7

18

Andre Tippett LB

2

18

Otis Taylor WR-FL

20

16

Drew Pearson WR

12

16

Ken Anderson QB

9

16

George Kunz T

15

13

Lemar Parrish DB

13

13

Ken Riley DB

12

13

Todd Christensen TE

7

12

Billy “White Shoes” Johnson WR/R

7

12

Fred Dean DE

10

11

Winston Hill T

18

9

Deron Cherry DB

4

8

Steve McMichael DT

1

6

This is for the “Senior Era”

*Bold indicates they advanced to the Finals:

Player

Year of Eligibility

Vote Total

Bobby Boyd DB

7

25

Art Powell E

7

17

Alan Ameche FB

15

16

Arch Ward CONTRIBUTOR

11

15

John Brodie QB

2

7

None of the Above

 

3

This is for the “Coaches/Contributors Era”

*Bold indicates they advanced to the Finals:

Player

Year of Eligibility

Vote Total

COACH: Marv Levy

1

25

SCOUT: Eddie Kotal

5

18

COACH: Tom Flores

4

17

EXECUTIVE: Jim Finks

12

13

EXEC: Ron Wolf

2

11

None of the Above

 

1

We will post the Class of 2000 Pro Football Hall of Fame Revisited Project next Saturday.

Thank you to all who contributed. If you want to be part of this project, please let us know!