21+ only. Information and entertainment, not betting advice. Gambling problem? Call 1-800-NEXT-STEP (Arizona) or 1-800-GAMBLER.

AZMango
GB

Green Bay Packers @ San Francisco 49ers

Any-day matchup, 49ers at home · power ratings as of

SF
Our pick
SFSan Francisco 49ers
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 49ers can win

  1. Packers are missing regulars: LB Zaire Franklin (out), G Travis Glover (out), C Sean Rhyan (out).
  2. Simulation: 49ers win 6,280 of 10,000 simulated games.
  3. Point differential per game: 49ers rank 3rd (+8.3), Packers 15th (+0.9).
  4. Home field: 49ers play at home, worth roughly 1 to 2 points in recent seasons.
  5. Season-long ratings: over the season, betting lines have rated 49ers about 1.0 points stronger.

Disadvantages Why the 49ers may not

  1. 49ers are missing regulars: WR Mike Evans (out), WR Deebo Samuel Sr. (out).
  2. Upset odds: Packers win 3,720 of 10,000 simulations (37%). A 63% pick still loses about 4 times in 10.
  3. Turnover margin per game: Packers rank 8th (+0.5), 49ers 21st (-0.4).
  4. Range of outcomes: in the worst 10% of simulations, 49ers lose by 11 or more.
  5. Pass rush, sacks per dropback: Packers rank 11th (7.2%), 49ers 21st (5.7%).

The line and our numbers

MarketAZMango
SpreadNo line yetSF -4.1
Total pointsn/a48.5
Win chanceGB n/a · SF n/aGB 37% · SF 63%
Fair moneylineGB +169 · SF -169

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: SF 26, GB 22.
  • 80% of simulations land between GB by 11 and SF by 21.
See live oddsBetMGM DraftKings FanDuel

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

Side by side

GBSF
5-3Record6-1
21.4 23Points per game28.1 3
20.5 11Points allowed19.9 6
+0.01 14Offense EPA/play+0.19 2
-0.06 4Defense EPA/play allowed-0.03 12
+0.5 8Turnover margin/game-0.4 21
7.2% 11Sacks per dropback5.7% 21

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
2024-11-242024 Wk 12SF 10 @ GB 38GBGB -6.5
2024-01-202023 DivisionalGB 21 @ SF 24SFSF -10.5
2022-01-222021 DivisionalSF 13 @ GB 10SFGB -5.5
2021-09-262021 Wk 3GB 30 @ SF 28GBSF -3.5
2020-11-052020 Wk 9GB 34 @ SF 17GBGB -6

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