Team Intelligence · NFC North · 2026 preseason

Green Bay Has Too Many Good Players. This Is Becoming Our Problem.

The model forecasts a top-10 scoring offense — 25.1 points a game, 9th — with its best fantasy real estate at tight end (6th), and the market is already paying for the 5th offense to own, 23 places ahead of where the model has it. Comparable offenses have supported 3.0 fantasy starters.

ADY
Auto Draft Years
17 August 2026 · 9 min read
25.1
proj points/game (9th)
3.0
expected fantasy starters
TE 6th
relative strength
-23
market vs model, in places

The short version

  • Green Bay's 2025 season was derailed more by injuries and a late collapse than bad quarterback play.
  • The model projects 25.1 points per game, ninth in the NFL.
  • The key assumption is pass rate rising from 50.9% to 55.7%.
  • Comparable offenses produced 3.0 fantasy starters versus 2.6 leaguewide.
  • The market ranks Green Bay's fantasy roster 14th; the model ranks it 27th.
  • Tucker Kraft is the best buy, though his November ACL tear still belongs in the risk discussion.
  • Josh Jacobs is fairly priced.
  • Watson, Golden and Love need cheaper prices for me.
  • Green Bay can have a good offense and still produce bad draft values.

Fantasy football has trained us to believe identifying a good offense is useful information.

Find points. Draft players attached to points. Feel intelligent.

Green Bay spent much of 2025 demonstrating why this process occasionally needs adult supervision.

The Packers were 9-3-1 and leading the NFC North in December. Then they lost their final four regular-season games, entered the playoffs as the No. 7 seed and blew a 21-3 halftime lead against Chicago in the Wild Card round. Five straight losses. Season over. Please unplug the machine and try again next year.

Now the AutoDraftYears model expects the offense to improve.

Green Bay projects for 25.1 points per game, ninth in the NFL. Every positional environment ranks inside the top 10. Comparable offenses have produced 3.0 fantasy starters.

This sounds like exactly the sort of offense we should attack.

Except the fantasy market already ranks Green Bay as the 14th-most valuable roster in football.

The model ranks it 27th.

So the interesting question isn't whether Green Bay will be good.

It's this:

Can a good offense still be overpriced almost everywhere?

Apparently, yes.

2025 was good quarterback play surrounded by chaos

Green Bay's final scoring numbers weren't especially exciting. In the AutoDraftYears dataset, the Packers finished at 23.2 points per game, down from 26.1 in 2024.

But Jordan Love was hardly the problem.

Love finished with a 101.2 passer rating and the best touchdown-to-interception ratio of his career. Packers GM Brian Gutekunst called it his best statistical season as a passer.

The strange part was how little Green Bay leaned into it.

The Packers threw on just 50.9% of their snaps in the AutoDraftYears data.

That's the important number.

Because the passing game was also repeatedly asked to function while somebody was being escorted to the medical tent.

Jayden Reed broke his collarbone in Week 2 and ultimately missed 10 games. Christian Watson spent the first half of the season recovering from the ACL tear he suffered in January.

Then Tucker Kraft started looking like he might be the best player in the passing game.

Through eight games, Kraft had 32 catches, 489 yards and six touchdowns. He led Green Bay in all three categories.

Then he tore his ACL on Nov. 2. Season over.

Watson returned just in time to inherit the explosives department.

After coming back in late October, he finished with 35 catches for 611 yards and six touchdowns in 10 games, averaging 17.5 yards per reception.

Meanwhile, first-round rookie Matthew Golden never really established himself. He dealt with shoulder and wrist injuries, caught 29 passes for 361 yards without a regular-season touchdown, then finally flashed with 84 yards and a score in the playoff loss.

This was less a receiving corps and more a shift schedule.

Kraft available. Watson unavailable.

Watson returns. Kraft disappears.

Reed leaves. Golden gets hurt.

Everybody please check the group calendar before coming to work.

That context matters because the model isn't asking Green Bay to invent offensive talent in 2026.

It's mostly asking the Packers to put a healthier version of the offense in better situations.

Green Bay Packers: scoring, pass rate and volume, 2021–2026
Solid line is points per game against the left axis; dashed lines are pass rate (right axis) and snaps from scrimmage.
The 2026 point on each line is the model's forecast, not an actual.

The model is really betting on more passing

Green Bay's scoring history:

SeasonPoints/Game
202125.6
202221.8
202323.8
202426.1
202523.2
2026 forecast25.1

There isn't some enormous long-term growth trend hiding here.

The bigger change is philosophical.

Green Bay's pass rate fell from 57.2% in 2021 to 48.1% in 2024 before climbing slightly to 50.9% last season.

The model projects 55.7% in 2026.

That's a 4.8 percentage-point increase.

Snaps rise modestly from 58.3 to 59.2 per game.

2025 to 2026
Where the forecast moves
Percentage change against last season's actuals.
Bars are the forecast's own movement; the roster changes above are what the model is responding to.

So the forecast isn't asking Green Bay to become the 2013 Broncos.

It is essentially saying: You have Jordan Love. Perhaps let Jordan Love throw the football.

Revolutionary stuff.

The personnel is also less crowded. Romeo Doubs left in free agency and Dontayvion Wicks was traded, leaving Watson, Reed and Golden as the clear top three receivers.

Every 2026 positional environment grades well:

  • QB: 8th
  • RB: 8th
  • WR: 9th
  • TE: 6th
Position environment
Green Bay Packers 2026 grades by position
Bars are inverted league rank, so taller is better. Green is top-10, red is bottom-10.
An environment grade is a thumb on the scale for a close call, not a ranking of the players in it.

Comparable offenses agree.

The 30 closest historical team matches to Green Bay's 2026 profile produced:

OutcomeHit Rate
Top-12 QB57%
Two Top-24 RBs73%
Three Top-36 WRs83%
Top-12 TE40%

Overall expectation: 3.0 fantasy starters.

The average offense across 320 historical team-seasons produced 2.6.

3.0
expected fantasy starters
Bear2
Base3
Bull4

Read off the 30 most similar offenses in 2016–2025, not asserted. A starter is a QB1, an RB2, a WR3 or a TE1 — top 12, 24, 36 and 12 at the position. Across all 320 team-seasons the average offense produced 2.6.

So I am not bearish on Green Bay.

I'm bearish on what we're being charged for admission.

Offensive pie against opportunity concentration
Green Bay — large pie, distributed
Horizontal: how many fantasy points this offense has to give out. Vertical: how tightly its projected points sit on its top two skill players.
Small pieconcentratedLarge pieconcentratedSmall piedistributedLarge piedistributedGB
56% of this offense's projected skill points sit on its top two players, against a league median of 63%. Worth being precise about what this axis does: across 320 historical team-seasons concentration has almost no relationship with how many fantasy starters an offense produces (r = −0.07). The size of the pie decides how many; concentration only decides who.

The market already bought the comeback

Here is the problem:

PlayerADPMarketModelAdj. EdgeRoleRisk
Josh Jacobs38RB17RB14083Medium
Christian Watson63WR28WR48-2467High
Tucker Kraft76TE6TE1+577Low
Jayden Reed111WR49WR38+760Low
Matthew Golden125WR54WR64-1463Low
Jordan Love127QB20QB25-865Medium
PlayerADPMarketModelEdgePPGRoleRiskCall
Josh JacobsRB39RB17RB1401383MediumFAIR PRICE
Christian WatsonWR59WR28WR47-221167HighFADE
Tucker KraftTE74TE6TE1+51577LowBUY
Jayden ReedWR108WR46WR39+4660LowFAIR PRICE
Matthew GoldenWR116WR50WR63-16563LowFADE
Jordan LoveQB131QB20QB25-91465MediumFADE

Market and Model are ranks within the position. Edge is the model's position rank against the market's, after removing the drift that affects every player at that price — so it reads as “the model likes him this many places more than it likes the typical player who costs this much.” A call needs the edge to clear the position's bar (QB 5, RB 15, WR 11, TE 5 places), set at two-thirds of that position's own spread.

Model against market
Disagreement, in position places
Bars are the de-drifted edge — the same number the calls in the table are made from.

The market ranks Green Bay's fantasy roster 14th.

The model ranks it 27th.

That's a 13-place disagreement, past the eight the model needs before it will call a roster mispriced — and it lands against the Packers.

The neighborhood is lovely.

The Zillow estimates have simply become aggressive.

Tucker Kraft is the exception

Kraft is TE6 in the market and TE1 in the model.

That one makes sense.

Before the ACL injury, Kraft wasn't producing theoretical breakout statistics. He was producing actual ones: 489 yards and six touchdowns in eight games.

The model gives him a 77 role score, projects 15 PPG and puts him in the league's sixth-best tight end environment.

There is, however, an obvious asterisk the spreadsheet cannot politely slide under the couch.

He tore his ACL in November.

The encouraging news is that Kraft has progressed far enough to return to team drills this August; on Aug. 16, he participated in 11-on-11 work for the first time this camp and immediately caught a touchdown.

So I'm willing to buy the upside.

I just wouldn't interpret a model designation of Low risk as meaning his knee has been granted diplomatic immunity.

Kraft is my favorite Packers target at cost.

Christian Watson is where optimism gets expensive

Watson is harder.

His 2025 return was legitimately impressive. He averaged 17.5 yards per catch after coming back from the ACL and again looked like Green Bay's most dangerous vertical weapon.

That is exactly why WR28 bothers me.

The market already knows the fun part.

AutoDraftYears has Watson at WR48, leaving a -24 adjusted positional edge even after accounting for normal disagreement around his draft range.

His risk grade is High.

Could he smash if Green Bay throws substantially more?

Absolutely.

But at WR28, you're no longer buying that possibility cheaply. You're paying the bartender before you've seen the cocktail.

I'd rather let someone else make that transaction.

Jacobs is fine. Golden and Love can wait.

Josh Jacobs might be the least dramatic player on the roster.

Market: RB17.

Model: RB14.

Role: 83.

Green Bay RB environment: 8th.

He rushed for 929 yards and 13 touchdowns in 15 games last season, a step down from his 1,329-yard Packers debut but still enough touchdown equity to keep the fantasy case intact.

Draft him around cost.

No manifesto required.

Golden is more tempting emotionally than statistically.

Green Bay just cleared targets ahead of him. He's a former first-round pick. His best professional game came the last time we saw him.

This is normally where August begins whispering terrible financial advice into our ear.

The model still has him WR64 versus WR54 in the market, a -14 adjusted edge.

I want him cheaper.

Jordan Love is similar. A higher pass rate could help, but the model still sees QB25 versus a QB20 market price.

A rising tide can lift boats.

It does not mean you need to purchase every boat.

BUY
Tucker Kraft
Tucker Kraft is priced at pick 74 (TE6); the model has him TE1. What fired: the model has him 5 places higher at the position than his price implies, a projected role scoring 77 of 100, a 6th-ranked TE environment behind him and a low risk grade.
FAIR PRICE
Josh Jacobs
Josh Jacobs is priced at pick 39 (RB17); the model has him RB14. What fired: the model and the market land within a few position places of each other, a projected role scoring 83 of 100 and a 8th-ranked RB environment behind him.
FADE
Christian Watson
Christian Watson is priced at pick 59 (WR28); the model has him WR47. What fired: the market pays for 22 position places more than the model gives him and a high risk grade. Cutting against it: a 9th-ranked WR environment behind him.

What I would actually do

Green Bay should be a better fantasy environment in 2026.

The model projects 25.1 points per game, a significant shift back toward passing and roughly three fantasy starters.

I buy that general story.

I just don't think Green Bay's offensive improvement is a secret.

Draft Tucker Kraft.

Take Josh Jacobs around market price.

Jayden Reed is interesting if his price stays depressed.

I would want discounts on Christian Watson, Matthew Golden and Jordan Love.

And the number I'm watching in September is simple:

Pass rate.

If Green Bay really jumps from 50.9% toward the model's 55.7% expectation, there will be enough passing volume to make this crowded fantasy thesis work.

If Matt LaFleur returns to last year's run-heavy approach, the market has a problem.

Because fantasy managers are already paying for the offensive rebound.

Green Bay doesn't need to disappoint for those prices to be wrong.

It merely needs to be good in a way everyone already expected.

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Sources: Auto Draft Years FF Model workbook — Team Data By Year, Team Stat Ranking, 2026 Team Context; Auto Draft Years 2026 consensus board (16 authoritative market sources); Player outcomes 2016–2025, Pro Football Reference via the project dataset. Team environment grades, forecasts and player model ranks are proprietary. Every figure on this page is generated from the dataset at build time; none is typed in by hand.