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AZMango
PIT

Pittsburgh Steelers @ Green Bay Packers

Any-day matchup, Packers at home · power ratings as of

GB
Our pick
GBGreen Bay Packers
58% to win

A probability, not a promise: a 58% pick loses about 4 times in 10.

AZMango model

No market price for this matchup, so there is nothing to compare against.

Advantages Why the Packers can win

  1. Simulation: Packers win 5,780 of 10,000 simulated games.
  2. Home field: Packers play at home, worth roughly 1 to 2 points in recent seasons.
  3. Pass protection, sacks allowed per dropback: Packers rank 7th (4.3%), Steelers 23rd (7.7%).
  4. Explosive plays (20+ yards) per game: Packers rank 3rd (4.5), Steelers 13th (3.7).
  5. Efficiency (EPA per play): worth about 0.4 points to Packers in our ratings.

Disadvantages Why the Packers may not

  1. Packers are missing regulars: LB Zaire Franklin (out), G Travis Glover (out), C Sean Rhyan (out).
  2. Upset odds: Steelers win 4,220 of 10,000 simulations (42%). A 58% pick still loses about 4 times in 10.
  3. Packers have 1 regular listed questionable (Matthew Golden).
  4. Range of outcomes: in the worst 10% of simulations, Packers lose by 14 or more.
  5. Penalty yards per game: Steelers rank 10th (52.4), Packers 32nd (73.9).

The line and our numbers

MarketAZMango
SpreadNo line yetGB -2.5
Total pointsn/a43.6
Win chancePIT n/a · GB n/aPIT 42% · GB 58%
Fair moneylinePIT +137 · GB -137

No betting line for this pairing. Odds change all the time, so check a sportsbook before acting on any number here.

10,000 simulated games

  • Typical score: GB 23, PIT 20.
  • 80% of simulations land between PIT by 14 and GB by 19.
See live oddsBetMGM DraftKings FanDuel

Plain links. We are not paid for them and take no bets.

Side by side

PITGB
5-2Record5-3
21.9 22Points per game21.4 23
19.7 5Points allowed20.5 11
-0.06 27Offense EPA/play+0.01 14
-0.03 10Defense EPA/play allowed-0.06 4
+0.6 5Turnover margin/game+0.5 8
7.0% 14Sacks per dropback7.2% 11

Small numbers are league ranks (1 = best). EPA (expected points added) measures how much each play changes a team's expected score.

Last 5 meetings

DateGameScoreWinnerClosing line
2025-10-262025 Wk 8GB 35 @ PIT 25GBGB -3
2023-11-122023 Wk 10GB 19 @ PIT 23PITPIT -3
2021-10-032021 Wk 4PIT 17 @ GB 27GBGB -6.5
2017-11-262017 Wk 12GB 28 @ PIT 31PITPIT -14
2013-12-222013 Wk 16PIT 38 @ GB 31PITPIT -1

Basis: power ratings only (no betting line yet). 10,000 drive-by-drive simulations, calibrated so our percentages match how often teams actually won in a 2020-2026 backtest. Model version 1. How it works

No betting line exists for a game that isn't scheduled, so this uses our own power ratings (they pick about 65% of winners in the backtest). Flip home and away