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AZMango
GB

Green Bay Packers @ Baltimore Ravens

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

BAL
Our pick
BALBaltimore Ravens
52% to win

A probability, not a promise: a 52% pick loses about 5 times in 10.

AZMango model

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

Advantages Why the Ravens can win

  1. Packers are missing regulars: LB Zaire Franklin (out), G Travis Glover (out), C Sean Rhyan (out).
  2. Home field: Ravens play at home, worth roughly 1 to 2 points in recent seasons.
  3. Simulation: Ravens win 5,220 of 10,000 simulated games.
  4. Packers have 1 regular listed questionable (Matthew Golden).
  5. Season-long ratings: over the season, betting lines have rated Ravens about 0.6 points stronger.

Disadvantages Why the Ravens may not

  1. Recent form: average margin over the last three games, Packers +5.0, Ravens -6.0.
  2. Upset odds: Packers win 4,780 of 10,000 simulations (48%). A 52% pick still loses about 5 times in 10.
  3. Packers passing game (11th in EPA) faces the Ravens defense that ranks 24th against it.
  4. Pass protection, sacks allowed per dropback: Packers rank 7th (4.3%), Ravens 26th (8.2%).
  5. Recent scoring margins: worth about 0.8 points to Packers in our ratings.

The line and our numbers

MarketAZMango
SpreadNo line yetBAL -1
Total pointsn/a46.8
Win chanceGB n/a · BAL n/aGB 48% · BAL 52%
Fair moneylineGB +109 · BAL -109

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: BAL 24, GB 23.
  • 80% of simulations land between GB by 16 and BAL by 17.
See live oddsBetMGM DraftKings FanDuel

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

Side by side

GBBAL
5-3Record4-3
21.4 23Points per game24.1 12
20.5 11Points allowed23.9 18
+0.01 14Offense EPA/play+0.09 8
-0.06 4Defense EPA/play allowed+0.04 21
+0.5 8Turnover margin/game+0.1 14
7.2% 11Sacks per dropback6.6% 16

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
2025-12-272025 Wk 17BAL 41 @ GB 24BALGB -2.5
2021-12-192021 Wk 15GB 31 @ BAL 30GBGB -9.5
2017-11-192017 Wk 11BAL 23 @ GB 0BALBAL -2.5
2013-10-132013 Wk 6GB 19 @ BAL 17GBGB -1
2009-12-072009 Wk 13BAL 14 @ GB 27GBGB -4

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