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AZMango
GB

Green Bay Packers @ New York Giants

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

NYG
Our pick
GBGreen Bay Packers
63% to win

A probability, not a promise: a 63% 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. Giants are missing regulars: LB Tremaine Edmunds (out), S Jevon Holland (out), CB Greg Newsome II (out) and 1 more.
  2. Season-long ratings: over the season, betting lines have rated Packers about 3.7 points stronger.
  3. Simulation: Packers win 6,340 of 10,000 simulated games.
  4. Giants have 3 regulars listed questionable (Paulson Adebo, Marcus Mbow, Jermaine Eluemunor).
  5. Turnover margin per game: Packers rank 8th (+0.5), Giants 20th (-0.3).

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: Giants win 3,660 of 10,000 simulations (37%). A 63% pick still loses about 4 times in 10.
  3. Home field: Giants play at home, worth roughly 1 to 2 points in recent seasons.
  4. Packers have 1 regular listed questionable (Matthew Golden).
  5. Range of outcomes: in the worst 10% of simulations, Packers lose by 13 or more.

The line and our numbers

MarketAZMango
SpreadNo line yetGB -3.6
Total pointsn/a45.6
Win chanceGB n/a · NYG n/aGB 63% · NYG 37%
Fair moneylineGB -173 · NYG +173

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: NYG 20, GB 24.
  • 80% of simulations land between GB by 20 and NYG by 13.
See live oddsBetMGM DraftKings FanDuel

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

Side by side

GBNYG
5-3Record4-2-1
21.4 23Points per game23.3 16
20.5 11Points allowed23.0 17
+0.01 14Offense EPA/play+0.00 16
-0.06 4Defense EPA/play allowed+0.00 16
+0.5 8Turnover margin/game-0.3 20
7.2% 11Sacks per dropback3.9% 29

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
2025-11-162025 Wk 11GB 27 @ NYG 20GBGB -7.5
2023-12-112023 Wk 14GB 22 @ NYG 24NYGGB -6
2022-10-092022 Wk 5NYG 27 @ GB 22NYGGB -8.5
2019-12-012019 Wk 13GB 31 @ NYG 13GBGB -6.5
2017-01-082016 Wild CardNYG 13 @ GB 38GBGB -5

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