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AZMango
PIT

Pittsburgh Steelers @ Carolina Panthers

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

CAR
Our pick
PITPittsburgh Steelers
53% to win

A probability, not a promise: a 53% 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 Steelers can win

  1. Panthers are missing regulars: CB Akayleb Evans (out), G Damien Lewis (out), LB Jaelan Phillips (out).
  2. Recent form: average margin over the last three games, Steelers +8.3, Panthers -9.0.
  3. Steelers running game (8th in EPA) faces the Panthers defense that ranks 31st against it.
  4. Point differential per game: Steelers rank 11th (+2.1), Panthers 24th (-2.1).
  5. Recent scoring margins: worth about 1.3 points to Steelers in our ratings.

Disadvantages Why the Steelers may not

  1. Upset odds: Panthers win 4,680 of 10,000 simulations (47%). A 53% pick still loses about 5 times in 10.
  2. Home field: Panthers play at home, worth roughly 1 to 2 points in recent seasons.
  3. Range of outcomes: in the worst 10% of simulations, Steelers lose by 17 or more.
  4. Explosive plays (20+ yards) per game: Panthers rank 6th (3.9), Steelers 13th (3.7).
  5. Field goal percentage: Panthers rank 1st (100.0%), Steelers 20th (80.0%).

The line and our numbers

MarketAZMango
SpreadNo line yetPIT -0.5
Total pointsn/a44.8
Win chancePIT n/a · CAR n/aPIT 53% · CAR 47%
Fair moneylinePIT -114 · CAR +114

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: CAR 21, PIT 23.
  • 80% of simulations land between PIT by 17 and CAR by 17.
See live oddsBetMGM DraftKings FanDuel

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

Side by side

PITCAR
5-2Record3-4
21.9 22Points per game25.4 9
19.7 5Points allowed27.6 27
-0.06 27Offense EPA/play+0.02 13
-0.03 10Defense EPA/play allowed+0.05 23
+0.6 5Turnover margin/game+0.0 16
7.0% 14Sacks per dropback4.0% 28

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
2022-12-182022 Wk 15PIT 24 @ CAR 16PITCAR -2.5
2018-11-082018 Wk 10CAR 21 @ PIT 52PITPIT -3.5
2014-09-212014 Wk 3PIT 37 @ CAR 19PITCAR -3
2010-12-232010 Wk 16CAR 3 @ PIT 27PITPIT -14
2006-12-172006 Wk 15PIT 37 @ CAR 3PITPIT -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