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AZMango
SF

San Francisco 49ers @ New York Giants

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

NYG
Our pick
SFSan Francisco 49ers
71% to win

A probability, not a promise: a 71% pick loses about 3 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. 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 49ers about 4.8 points stronger.
  3. Simulation: 49ers win 7,140 of 10,000 simulated games.
  4. 49ers running game (3rd in EPA) faces the Giants defense that ranks 26th against it.
  5. Recent scoring margins: worth about 1.9 points to 49ers in our ratings.

Disadvantages Why the 49ers may not

  1. 49ers are missing regulars: WR Mike Evans (out), WR Deebo Samuel Sr. (out).
  2. Travel: 49ers cross 3 time zones for this one.
  3. Home field: Giants play at home, worth roughly 1 to 2 points in recent seasons.
  4. Upset odds: Giants win 2,860 of 10,000 simulations (29%). A 71% pick still loses about 3 times in 10.
  5. Range of outcomes: in the worst 10% of simulations, 49ers lose by 10 or more.

The line and our numbers

MarketAZMango
SpreadNo line yetSF -6.1
Total pointsn/a48
Win chanceSF n/a · NYG n/aSF 71% · NYG 29%
Fair moneylineSF -249 · NYG +249

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, SF 27.
  • 80% of simulations land between SF by 24 and NYG by 10.
See live oddsBetMGM DraftKings FanDuel

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

Side by side

SFNYG
6-1Record4-2-1
28.1 3Points per game23.3 16
19.9 6Points allowed23.0 17
+0.19 2Offense EPA/play+0.00 16
-0.03 12Defense EPA/play allowed+0.00 16
-0.4 21Turnover margin/game-0.3 20
5.7% 21Sacks 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
2025-11-022025 Wk 9SF 34 @ NYG 24SFSF -2.5
2023-09-212023 Wk 3NYG 12 @ SF 30SFSF -10.5
2020-09-272020 Wk 3SF 36 @ NYG 9SFSF -3
2018-11-122018 Wk 10NYG 27 @ SF 23NYGSF -3
2017-11-122017 Wk 10NYG 21 @ SF 31SFNYG -3

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