It’s that time of year again, where the NFL and the Green Bay Packers are on break. The NFL has a long offseason but for most of the offseason there is something to talk about. Not this time of year, though. Mid-June to Mid-July, things can be kinda slow.
Which brings me to today’s topic of discussion…Or lack thereof. I’m going to do something that I did last year: have AI make predictions. However, AI has grown a lot since last year. Actually, if you ask me, kinda scary how much chatbots have developed over the past year but that is a topic for other types of blog style websites. Instead, I’m going to use this AI to make stat predictions for key offensive players heading into 2025.
A few things: Copilot, Grok, Gemini, and OpenAI’s ChatGpt were my chatbots of choice. I also made sure that each one used deepthink to make their predictions. The stat predictions were for the following players: Josh Jacobs, Jayden Reed, Romeo Doubs, Tucker Kraft, Matthew Golden, and Jordan Love.
The Prompt That I used.
If you want to try this for yourself and see if an AI chatbot does a similar prediction like me, this is the prompt I used.
“Okay, I want you to think deeply about this one. I want you, using analytics and additional resources to make a prediction about what the final stats will be for these six players of the Green Bay Packers in the 2025 regular season: Josh Jacobs, Jayden Reed, Romeo Doubs, Tucker Kraft, Matthew Golden, and Jordan Love. Obviously, these stats must be cohesive with one another. They also must make sense within the context of who the Packers are playing in 2025.”
Interestingly enough, only ChatGPT asked clarifying questions:
“To make the most accurate prediction for the 2025 regular season stats of Josh Jacobs, Jayden Reed, Romeo Doubs, Tucker Kraft, Matthew Golden, and Jordan Love, could you please clarify the following:
- Should I assume all six players will remain healthy and play all 17 games?
- Do you have a preferred source or format for presenting the stats (e.g., standard fantasy football stats, advanced analytics)?
- Should I include historical performance, offensive scheme, and strength of schedule analysis in the prediction model?
Once I have this, I can begin deep research and analytics to produce cohesive projections.”
So, I responded, “Number one, yes assume they will remain healthy. Number two, traditional NFL stats, we don’t need anything too advanced, and three, yes use all of those in the prediction model.”
Okay, let’s get into their stat predictions.
Packers Stat Prediction – Copilot
Josh Jacobs:
Carries: 290 • Rushing Yds: 1,250 • Rush TD: 11 • Targets: 60 • Receptions: 50 • Rec Yds: 400 • Rec TD: 3 Rationale: After 301 carries for 1,329 yards and 15 TDs in 2024, expect a small reduction in rushes and bump in targets.
Jayden Reed:
Targets: 70 • Receptions: 55 • Rec Yds: 650 • Rec TD: 7 Rationale: Slot-heavy usage, spike-week upside, but diluted by Matthew Golden’s arrival. Career 11.3% TD rate on touches.
Romeo Doubs:
Targets: 75 • Receptions: 60 • Rec Yds: 700 • Rec TD: 6 Rationale: Bouncing back from a 46-catch, 601-yard, 4-TD ’24; profiles as a TD-dependent WR3/flex in a crowded room.
Tucker Kraft:
Targets: 70 • Receptions: 60 • Rec Yds: 770 • Rec TD: 7 Rationale: Elite YAC artist (95th pctile on 0–10 yd routes) looking to evolve as a downfield threat—caught 8 of 10 deep targets for 270 yd/3 TD in ’24. Still a top-10 TE if targets rise.
Mathew Golden:
Targets: 65 • Receptions: 50 • Rec Yds: 650 • Rec TD: 5 Rationale: Average Round-1 WR rookie logs ~90 targets/59 rec/785 yd/5 TD; Golden’s a mid-first-round slot and crowded room trim that a bit.
Packers Jordan Love:
Comp %: 62.5 • Pass Yds: 4,000 • Pass TD: 32 • INT: 10 • Rush Yds: 220 • Rush TD: 3 Rationale: RotoWire’s 2025 projection (3,907 yd/26 TD/12 INT/63.7 % comp) underestimates his upside in a push-pass-heavy offense.
So, Copilot was far and away the fastest to finish their predictions. And they used nine sources to help with their predictions. Just interesting to note.
Packers Stat Prediction – Grok
Josh Jacobs:
Rushing Stats: 280 attempts, 1,225 yards, 12 touchdowns
Receiving Stats: 40 receptions, 335 yards, 1 touchdown
Therefore, Jacobs is expected to remain the workhorse back, with projections slightly lower than his 2024 output of 1,329 yards and 15 TDs, possibly due to shared carries with MarShawn Lloyd.
Jayden Reed:
Receiving Stats: 55 receptions, 750 yards, 5 touchdowns
Rushing Stats: 15 attempts, 130 yards, 1 touchdown
So, Reed is projected to maintain a key role, with 750 yards and 5 TDs, though competition from Golden may cap his target share compared to his 2024 stats of 857 yards and 6 TDs.
Romeo Doubs:
Receiving Stats: 50 receptions, 650 yards, 5 touchdowns
So, Romeo Doubs’ projections account for a full season after playing only 13 games in 2024 (601 yards, 4 TDs), with potential risks from injury history and new receiver additions.
Tucker Kraft:
Receiving Stats: 50 receptions, 645 yards, 5 touchdowns
Therefore, Kraft is expected to build on his 2024 breakout (707 yards, 7 TDs), with projections slightly lower due to increased competition, but still a significant target in the passing game.
Mathew Golden:
Receiving Stats: 55 receptions, 855 yards, 6 touchdowns
Therefore, as a rookie first-round pick, Golden is projected for a strong debut with 855 yards and 6 TDs, leveraging his college stats (987 yards, 9 TDs at Texas) and the Packers’ need for a top receiver.
Packers Jordan Love:
Passing Stats: 312 completions, 480 attempts, 3,800 yards, 27 touchdowns, 12 interceptions
Rushing Stats: 35 attempts, 135 yards, 1 touchdown
Therefore, Jordan Love’s projections reflect a solid season, building on his 2024 performance of 3,389 yards and 25 TDs, with potential for improvement given a full season and new receivers like Matthew Golden.
Interestingly enough, Grok says it had 126 sources to help make its final stat prediction. However, it was kinda weird that it had that much but finished second in the amount of time to think about it.
A cool thing, however, Grok went into its methodology which I won’t share here, but also provided a table for clarity. Here it is:
Packers Stat Prediction – Gemini
Gemini took the third longest out of the four AIs. But, because it took longer, it was able to get a deeper analysis of the stats. Some things that Gemini did: it researched key Packers offensive trends, predicted what the key players and offensive depth chart would look like, and analyzed the 2025 Packers schedule and their opponents 2024 defensive rankings. Oh, and Gemini provided a table for each.
So, here are those tables:
Packers predicted depth chart.
Packers Opponents and Defensive Rankings:
Finally, Gemini’s Packers Stats:
Finally, Packers Stat Prediction – OpenAI-ChatGPT
ChatGPT took far and away the longest to make its predictions, but I believe I’m more impressed with Gemini’s. ChatGPT didn’t do bad by any means. Gemini just provided more, but that might have had a lot to do with the clarifying questions that ChatGPT asked. ChatGPT did provide a table for its stats prediction and a ton of analysis about why. I asked it to summarize its reasonings into a single paragraph for you to read. Here is that table, as well as ChatGPT’s reasons.
“In the 2025 regular season, the Green Bay Packers’ offense is projected to feature a balanced, run-first attack under Matt LaFleur, with Jordan Love leading the way. Love is expected to total 4,000 passing yards, 30 touchdowns, and 12 interceptions. Add 200 rushing yards with 3 scores, building on his strong 2024 campaign. Running back Josh Jacobs remains the offensive workhorse, projected for 310 carries, 1,300 rushing yards, 14 rushing TDs, and 35 catches for 300 yards and 2 more scores.
In the passing game, Jayden Reed is expected to lead the receiving corps with 60 catches, 900 yards, and 7 touchdowns, closely followed by Romeo Doubs with 60 catches, 800 yards, and 6 TDs. Tight end Tucker Kraft remains a reliable target with 50 receptions, 650 yards, and 5 scores, while rookie Matthew Golden is projected to make an immediate impact with 50 catches, 750 yards, and 7 touchdowns. Together, these cohesive stats reflect a Packers offense that efficiently balances its passing attack with a strong ground game, tailored to LaFleur’s tendencies and the strength of their 2025 schedule.” -ChatGPT
Conclusion
This was a really fun thing for me to do. Definitely nerdy, but that is the time of year that we are in! I hope you all had fun with it as much as I did and you should definitely try this for yourself.
Oh, you know I had to complete the nerdiness! Here is one last table. A consensus amongst the AI on predicting these stats. Here is the AI Consensus Stat’s Table:
| Player | Pass Yards | Pass TDs | INTs | Comp % | Rush Yards | Rush TDs | Carries | Receptions | Rec Yards | Rec TDs |
|---|---|---|---|---|---|---|---|---|---|---|
| Jordan Love | 3,962.5 | 30.2 | 11.0 | 64.2% | 201.2 | 2.8 | — | — | — | — |
| Josh Jacobs | — | — | — | — | 1,263.8 | 12.2 | 286.2 | 40.8 | 332.5 | 2.0 |
| Jayden Reed | — | — | — | — | 48.8 | 0.5 | — | 60.5 | 795.0 | 6.8 |
| Romeo Doubs | — | — | — | — | — | — | — | 57.5 | 725.0 | 6.0 |
| Tucker Kraft | — | — | — | — | — | — | — | 51.2 | 646.2 | 5.5 |
| Matthew Golden | — | — | — | — | — | — | — | 46.2 | 666.2 | 5.2 |
And as always,
Go Pack Go!
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Damon is a diehard, fully-immersed cheesehead who currently lives in southern Missouri. He teaches at a local high school and has a family YouTube channel about all things Packers. You can follow him on twitter at @packersfamily and on YouTube at The Packers Family.
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The post Packers New Stat Predictions Made By AI For 2025 first appeared on PackersTalk.com Blog Posts and Podcasts.