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Week 1 · Sun, 4:25 PM EDT · CBS

Green Bay Packers at Minnesota Vikings

U.S. Bank Stadium, Minneapolis, MN

Green Bay Packers logo
Packers
GB
9-7-1 · #17
66%
MIN to win
MIN -4.5 · Confident
Minnesota Vikings logo
Vikings
MIN
9-8 · #9

Market line for comparison: MIN -1.5 · O/U 45.5 (DraftKings). The model never sees this.

Rating inputs

Each starting rating is a weighted blend of five real football inputs, not just wins and losses. Every term below is measured from the 2025 season.

Green Bay Packers

InputRatingWeightContribution
Elo from results
9-7-1 in 2025, opponent-adjusted
148380%1186.5
Scoring strength
391–360 points (+31.0 differential) → 54.9% expected win rate
15345%76.7
Late-season form
same replay with the closing 6 weeks counted double
140515%210.8
Offense / defense split
23.0 PPG scored, 21.2 allowed → offense 1500, defense 1546
15460%0.0
Blended 2025 rating1474.0
Offseason regression
25% back toward the 1500 league mean
1480.5
Roster / QB adjustment
No offseason adjustment applied.
0.0
GB 2026 starting rating1480

Minnesota Vikings

InputRatingWeightContribution
Elo from results
9-8 in 2025, opponent-adjusted
157480%1259.2
Scoring strength
344–333 points (+11.0 differential) → 51.9% expected win rate
15135%75.7
Late-season form
same replay with the closing 6 weeks counted double
165615%248.3
Offense / defense split
20.2 PPG scored, 19.6 allowed → offense 1431, defense 1586
15160%0.0
Blended 2025 rating1583.2
Offseason regression
25% back toward the 1500 league mean
1562.4
Roster / QB adjustment
No offseason adjustment applied.
0.0
MIN 2026 starting rating1562

The calculation

Every term the model applies, in order, from both teams' starting ratings to the number on the card.

Minnesota Vikings base rating
1562.4
2026 starting Elo, after offseason regression
Green Bay Packers base rating
− 1480.5
2026 starting Elo, after offseason regression
Rating edge (home perspective)
+82.0
MIN is the better-rated side on neutral ground
Home-field advantage
+30.0
Flat 35 points for every host
Rest differential
+0.0
Both teams open the season equally rested
Analyst override
+0.0
No manual adjustment on this game
Adjusted Elo difference
+112.0

Win probability

1 / (1 + 10−(112.0 / 400))

65.6% MIN

Model spread

112.0 ÷ 25, rounded to the nearest half point

MIN -4.5

Confidence band

Coin flip · under 55%Lean · 55–65%Confident · 65–75%Strong · 75% and up

Where the ratings came from

Each rating is the end state of a full 2025 season of Elo updates, regressed toward the league mean for the new season.

Green Bay Packers logo
Green Bay Packers
#17 of 32 · 9-7-1 in 2025
2025 final rating
1483.1
Regress 25% toward 1500
−2.6
2026 starting rating
1480.5

2025 Elo trail

Biggest swings

  • L 2441 vs BAL67.4
  • W 2713 vs DET+39.1
  • L 1316 vs CAR36.3
Minnesota Vikings logo
Minnesota Vikings
#9 of 32 · 9-8 in 2025
2025 final rating
1574.0
Regress 25% toward 1500
−11.6
2026 starting rating
1562.4

2025 Elo trail

Biggest swings

  • W 4810 vs CIN+66.6
  • L 622 vs ATL57.4
  • L 1037 at LAC50.7

Matchup factors

Everything beyond the two base ratings that moved this specific number.

Home field

+30.0 pts

worth 4.0 points of win probability

MIN hosts at U.S. Bank Stadium. Every host gets the same flat 35 points — the model does not rate crowds individually.

Rest

+0.0 pts

Week 1: both teams come off the same offseason, so there is no rest edge to give.

Analyst override

+0.0 pts

No manual adjustment. The number here is pure model output.

2025 head to head

  • Week 12: GB won 23–6 (MIN on the road)
  • Week 18: MIN won 16–3 (MIN at home)

Strength of schedule

Who each team actually played in 2025, measured by their opponents' current ratings. This is context for reading the ratings — it is not an input to the prediction above, because beating good teams already raises a team's Elo more.

Green Bay Packers

1494

average opponent rating · 19th toughest of 32

vs above-average teams
5-5
vs below-average teams
4-2-1
Minnesota Vikings

1503

average opponent rating · 15th toughest of 32

vs above-average teams
3-7
vs below-average teams
6-1

What the model does not know

  • · Injuries, suspensions and depth-chart changes.
  • · Coaching and roster turnover between seasons.
  • · Weather, travel distance and short-week fatigue beyond raw rest days.
  • · Anything a betting market has priced in since the season ended.
Read the full methodology →