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AZMango
PIT

Pittsburgh Steelers @ San Francisco 49ers

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

SF
Our pick
SFSan Francisco 49ers
67% to win

A probability, not a promise: a 67% 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. Simulation: 49ers win 6,720 of 10,000 simulated games.
  2. Season-long ratings: over the season, betting lines have rated 49ers about 1.4 points stronger.
  3. 49ers running game (3rd in EPA) faces the Steelers defense that ranks 18th against it.
  4. Travel: Steelers cross 3 time zones for this one.
  5. Home field: 49ers play at home, worth roughly 1 to 2 points in recent seasons.

Disadvantages Why the 49ers may not

  1. Recent form: average margin over the last three games, Steelers +8.3, 49ers +0.0.
  2. 49ers are missing regulars: WR Mike Evans (out), WR Deebo Samuel Sr. (out).
  3. Turnover margin per game: Steelers rank 5th (+0.6), 49ers 21st (-0.4).
  4. Upset odds: Steelers win 3,280 of 10,000 simulations (33%). A 67% pick still loses about 3 times in 10.
  5. Range of outcomes: in the worst 10% of simulations, 49ers lose by 11 or more.

The line and our numbers

MarketAZMango
SpreadNo line yetSF -5.1
Total pointsn/a46.1
Win chancePIT n/a · SF n/aPIT 33% · SF 67%
Fair moneylinePIT +205 · SF -205

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 25, PIT 20.
  • 80% of simulations land between PIT by 11 and SF by 23.
See live oddsBetMGM DraftKings FanDuel

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

Side by side

PITSF
5-2Record6-1
21.9 22Points per game28.1 3
19.7 5Points allowed19.9 6
-0.06 27Offense EPA/play+0.19 2
-0.03 10Defense EPA/play allowed-0.03 12
+0.6 5Turnover margin/game-0.4 21
7.0% 14Sacks 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
2023-09-102023 Wk 1SF 30 @ PIT 7SFSF -1.5
2019-09-222019 Wk 3PIT 20 @ SF 24SFSF -6
2015-09-202015 Wk 2SF 18 @ PIT 43PITPIT -6
2011-12-192011 Wk 15PIT 3 @ SF 20SFSF -3
2007-09-232007 Wk 3SF 16 @ PIT 37PITPIT -10

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