AI Predicts Every NFL Week 4 Game Score
As the NFL season approaches its quarter-mark, we're diving into an exciting new way to forecast game outcomes. Using the power of artificial intelligence, RotoWire has simulated the entire Week 4 schedule to see what ChatGPT predicts for every matchup.
The methodology involved running 10 separate simulations for each game, using current NFL rosters as of September 24. For each simulation, the AI produced a final score, allowing us to determine a winner and calculate the average margin of victory (MOV). These AI-driven insights offer a fresh perspective on what to expect, though it's worth noting they may differ from the official NFL betting odds.
ChatGPT's Complete Week 4 NFL Predictions
Here is a full breakdown of how the AI predicted each game over the course of 10 simulations. The results show which team won more often and the average margin of victory for both the visiting and home teams in those simulated wins.
| Matchup | Result | Visitors Avg. MOV | Home Avg.MOV |
|---|---|---|---|
| SEA at ARI | 9-1 Seahawks | 3.1 | 3.0 |
| MIN vs. PIT* | 6-4 Vikings | 4.7 (MIN) | 3.3 (PIT) |
| WAS at ATL | 5-4-1 Commanders | 5.2 | 4.0 |
| NO at BUF | 10-0 Bills | NA | 13.3 |
| CLE at DET | 10-0 Lions | NA | 10.0 |
| TEN at HOU | 7-3 Texans | 2.0 | 9.6 |
| CAR at NE | 5-5 | 2.0 | 7.6 |
| LAC at NYG | 7-3 Chargers | 16.6 | 2.7 |
| PHI at TB | 6-3-1 Eagles | 11.0 | 5.7 |
| IND at LAR | 8-2 Rams | 10.5 | 14.2 |
| JAX at SF | 7-3 49ers | 1.0 | 8.3 |
| BAL at KC | 5-5 | 7.6 | 6.8 |
| CHI at LV | 7-3 Raiders | 6.3 | 12.7 |
| GB at DAL | 6-4 Cowboys | 7.0 | 8.0 |
| NYJ at MIA | 7-3 Dolphins | 4.0 | 8.4 |
| CIN at DEN | 6-4 Broncos | 7.2 | 10.2 |
This is a neutral-site game taking place in Dublin, Ireland.
The Coin-Flip Games: Matchups Too Close to Call
The simulations highlighted a few games that are virtual toss-ups. The Carolina at New England matchup ended in a perfect 5-5 split, suggesting neither team has a clear advantage. Similarly, the Washington Commanders barely edged out the Atlanta Falcons with a 5-4-1 record in the simulations.
Perhaps the most anticipated nail-biter is the showdown between the Baltimore Ravens and the Kansas City Chiefs. This game also finished in a 5-5 tie. It's a high-stakes contest between two AFC heavyweights, where one team is poised to fall to a 1-3 record unless they tie.
More High-Stakes and Narrow Margins
Another closely projected contest is the matchup between the Green Bay Packers and the Dallas Cowboys, where the Cowboys held a slight 6-4 edge in the simulations. This game has an interesting storyline with former Cowboy Micah Parsons, now a star pass rusher for Green Bay, facing his old team.
The international game in Dublin also projects to be a tight affair, with the Minnesota Vikings holding a 6-4 advantage over the Pittsburgh Steelers. This game features a quarterback battle between Minnesota's Carson Wentz and Pittsburgh's Aaron Rodgers.
Understanding the AI's Predictions: Q&A
Q: How did ChatGPT simulate the NFL games?
A: RotoWire prompted ChatGPT to run 10 simulations for every Week 4 matchup based on rosters updated as of Sept. 24, 2025. Each simulation produced a projected score, a winner, and an average margin of victory (MOV), offering a detailed look at both the outcome and the decisiveness of the win.
Q: Which teams were the most dominant in the simulations?
A: The Bills and Lions were clear standouts, both winning 10 out of 10 simulations with double-digit average margins. The Rams (8-2, +14.2 MOV) and Chargers (7-3, +16.6 MOV) also showed significant strength. Other teams with strong showings included the Seahawks (9-1) and the 49ers, Raiders, Dolphins, and Texans, who each won seven of their ten simulations.
Q: What were the closest matchups according to the AI?
A: The most evenly matched games were Panthers-Patriots and Ravens-Chiefs, which both ended in 5-5 splits. Other competitive matchups included Vikings-Steelers, Packers-Cowboys, Bengals-Broncos, Commanders-Falcons, and Eagles-Buccaneers, all of which had results close to a 50/50 split.
