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Seattle Football HQWeek 1 · 2026

NEatSEA

New England 14-3Seattle 14-3
Wednesday, September 9 · 5:20 pm PT / 8:20 pm ET · at Lumen Field · SEA -3.5 · O/U 44.5
Mike Vrabel vs Mike Macdonald

The rematch

Seven months after Seattle held the best offense in football to 13 points on the biggest stage, New England comes to Lumen for kickoff night. The numbers say this is the best defense in the league against the best offense in the league, and both sides changed their skill groups in the offseason. Here's what to actually watch.

Quick PredictionModel score, HQ score, season record

Model
SEA 25.5NE 22.4
Seattle 60% · lean
MODEL
HQ call
SEA 23NE 20
Bet on the unit that didn't change
AI READ
Why the model lands there
Net EPA rating, SEA+0.1513rd in NFL
Net EPA rating, NE+0.1982nd in NFL
Team rating edge, in points for SEA-0.6
Elo, in points for SEA +141 rating pts+3.7why
Home field, in points for SEA+0.2
Quarterback, in points for SEA-0.1why
Predicted margin for SEA+3.260% to win

Ratings are all 2025, no 2026 games played yet. Historical error on the margin is about 13 points either way, which is why a 3.2-point lean is only a 60% pick.

The conclusion

The model has Seattle by 3.2, and for once the model and I agree. It's worth knowing why it changed its mind: EPA per play alone said coin flip, because New England's offense was so good last year that it cancels out Seattle's defense on paper. Elo disagrees, because Elo counts January. Seattle enters this season 141 rating points ahead of New England almost entirely because of what happened in Santa Clara, and playoff wins are the thing efficiency numbers throw away.

Here's what neither can see. Defenses carry over year to year better than offenses do, and Seattle's defense returns its core: Williams, Lawrence, Nwosu, Murphy, Emmanwori, Ernest Jones. New England's offense turned over its receiver room and now has to learn A.J. Brown and Romeo Doubs on the fly against the unit that held it to 13 points seven months ago. Maye's 8.7% sack rate was the crack in that offense all year, and Macdonald's disguise got to him six times in the Super Bowl. Add that Macdonald is year three into a scheme that finished 2nd and 1st in his previous two second years, and this is a bad week to be a new receiver corps.

On the other side, Seattle's offense has its own problems. The run game was 21st before Walker left, and Charbonnet may not play. Darnold's 14 interceptions are the reason this isn't a comfortable pick. If he gives it away twice, New England wins anyway.

I'll stay at 23-20 rather than chase the model up to 25. The market has this at 44.5 total and I think that's right: two top-five scoring defenses, offenses with new parts, a Wednesday night crowd that's going to be deafening. Low twenties both sides, Seattle by a field goal, and the unit that didn't change decides it.

How the model worksInputs, backtest, Elo, and quarterback math

Four inputs. Team ratings: EPA per play on offense and allowed on defense, blending the current season with last season, last season fading as games get played. Elo: a running rating that moves with margin of victory and reverts partway each offseason, including playoff results. Quarterback: opponent-adjusted EPA per dropback for tonight's starter, measured against the team's own recent baseline so nobody gets counted twice. Home field. The margin is a straight line through those; the total is a straight line through both offenses and defenses; win probability is how often a margin that size holds up given the historical error. Fit on 1,855 regular season games, 2019 to 2025.

Not in the model: injuries other than at quarterback, offseason roster changes, weather, rest and travel, coaching, anything that happened after the last snap of the stat season. Read the conclusion for those.

Backtest, leaving each season out and predicting it with the others:

gamespicksmissmarket
weeks 1-333364%9.763%
weeks 4-960865%10.266%
weeks 10+91466%10.268%
all185565%10.266%

Picks = share of games where the model's favorite won. Miss = average error on the margin, in points. Market = the same pick rate for the closing betting line.

Translation: it picks the winner about 65% of the time and misses the margin by 10 points on average. The betting market picks 66%, so this is within about a point and a half of Vegas. In weeks 1 through 3 it actually edges the market, 64% to 63%, because early lines are guessing from last year too. Expect it to be wrong about one week in three, and don't bet on it.

Elo, explained

Elo is a running rating that moves after every game by how much you won or lost by and how surprising the result was. Beat a much better team by a lot and you take a big chunk of their rating. It reverts partway toward average each offseason, because rosters change.

It catches things EPA per play does not. EPA measures how efficiently you moved the ball; Elo measures whether you actually won, including in January. Seattle enters this season +141 Elo points ahead of New England largely because of what happened in February, and that is worth +3.7 points tonight. Playoff games count.

Quarterback, explained

Seattle
S.Darnold
assumed starter
Rating +0.058 EPA per dropback
Team baseline +0.057
Change +0.001 · 1,293 career dropbacks
New England
D.Maye
assumed starter
Rating +0.144 EPA per dropback
Team baseline +0.139
Change +0.005 · 914 career dropbacks

Team EPA ratings already contain whatever the quarterback did, so you cannot just add "good QB" on top or you count him twice. Instead the model rates tonight's starter against the team's own recent quarterback baseline. Same guy as usual, no adjustment. Backup in for an injured starter, big adjustment. A rating travels with the quarterback when he changes teams, which is the entire point.

Both teams are starting the same quarterback they have been starting, so this adjustment is zero tonight. That is the correct answer, not a broken feature. D.Maye rates +0.086 EPA per dropback above S.Darnold, and that gap is already inside New England's team rating. Adding it again would count him twice.

The coefficient is +20.2 points per unit of EPA per dropback. A backup who is 0.10 worse than the starter costs his team about 2.0 points.

The same regression rates defenses. Hardest to throw on: CLE (-0.16), PHI (-0.16), MIN (-0.15). Easiest: WAS (+0.06), TEN (+0.05), ARI (+0.03). Those numbers are what gets divided out of each quarterback.

It assumes the listed starter plays. If that changes before kickoff, so does this number.

Season record

Model 0-0 · HQ call 0-0

GameModelHQ callResult
Wk 1
NE at SEA · S.Darnold v D.Maye
SEA 25.5, NE 22.4 SEA 23, NE 20 pending

Model predictions lock the first time a week is built and never get edited after. The HQ call can change until kickoff.

Game Prep SheetIf you see this, watch this

Ten things to look for tonight, built from last season's play-by-play plus what changed in the offseason. Read it before kickoff, keep it open during.

01
If you see

Maye holds the ball and the pocket starts to close.

Watch

Does he escape, and do Seattle's edge rushers stay in their lanes or chase upfield and let him out?

Why it matters

Maye scrambled on 11.5% of his dropbacks last year, second most in the league, and took a sack on 8.7%, 24th. Seattle sacked him six times in the Super Bowl. If the rush lanes stay disciplined, he has nowhere to go. If they don't, he's the most dangerous scrambler they'll face all year.

DERIVED
02
If you see

Seattle shows four down linemen and drops seven, then one of them backs out at the snap and a linebacker comes.

Watch

Where the fifth rusher comes from and who vacates a zone to cover for him.

Why it matters

Seattle blitzed on just 24.7% of dropbacks, eighth lowest in the league, and averaged 4.24 rushers, seventh fewest. It still led the league in defensive EPA. That means the pressure comes from disguise, not numbers. The tell is pre-snap movement in the second level, not the line.

AI READ
03
If you see

Maye takes a deep shot in the first quarter.

Watch

Whether the target is Brown or Doubs, and who Seattle has on him. Witherspoon travelling is a game plan tell.

Why it matters

Maye's average throw traveled 9.2 yards downfield last year, second deepest in the league, and 14.3% of his attempts went 20+. Quarterbacks facing Seattle threw the shortest average pass in the league (6.6 yards). Something gives on the first deep ball. Brown had 121 targets and 1,003 yards in Philadelphia. Doubs had 86 targets in Green Bay. Diggs, who had 20% of New England's targets, is in Washington.

DERIVED
04
If you see

New England goes no-huddle.

Watch

Whether Seattle's defense gets set and communicates the disguise, or defaults to a simple call.

Why it matters

New England went no-huddle on 2.3% of plays last year, the lowest rate in the NFL. But opponents used tempo against Seattle 15.2% of the time, second most in the league, precisely because tempo takes away the disguise game. Both of Maye's fourth quarter interceptions in the Super Bowl came out of no-huddle. If Vrabel opens with tempo, he studied the tape.

AI READ
05
If you see

New England hands off into a box with eight defenders.

Watch

Whether they keep doing it in the second quarter.

Why it matters

New England ran into a loaded box on 21.6% of its carries last year, second most in the league, and ranked 24th in rushing EPA anyway. Seattle's run defense was first in EPA and first in success rate. Count the Henderson and Stevenson carries in the first quarter. If it's under six, Vrabel has already conceded the ground game and this is a pure dropback contest.

DERIVED
06
If you see

Seattle runs on first down and gets three yards or fewer.

Watch

Whether the play caller keeps feeding the run, and who's carrying it.

Why it matters

Seattle's pass offense was eighth in EPA and fourth in success rate last year, but Seattle threw 4.1% less often than expected on neutral early downs, seventh most run-leaning in the league, with a run game that ranked 21st. Kenneth Walker (221 carries) is in Kansas City now. Charbonnet's status in the roster feed is not active as of this build. Emanuel Wilson (125 carries in Green Bay) and rookie Jadarian Price are the names to learn. The backfield is the biggest unknown on the field.

DERIVED
07
If you see

Darnold fakes a handoff.

Watch

Smith-Njigba on the crossing route behind the linebackers.

Why it matters

Seattle used play action on 25.2% of dropbacks, 11th most. Smith-Njigba's 33.7% target share was the highest in the NFL last year (163 targets, 1,793 yards, 10 TDs). New England's linebackers bit on play action at a 24.7% rate last year, 10th most faced. This is the one matchup where Seattle's offense has a clear structural edge.

DERIVED
08
If you see

Seattle crosses the 20.

Watch

Personnel. Is Barner on the field, and who's the goal line back?

Why it matters

Seattle scored a touchdown on 57.7% of red zone trips, 21st. New England allowed a touchdown on 66.7% of red zone trips, 25th. Barner had six touchdowns. Charbonnet had 12 rushing touchdowns and may not play. One of these two mediocre red zone units is going to look good tonight, and it decides whether Seattle gets sevens or Myers threes.

DERIVED
09
If you see

A one-score game in the fourth quarter.

Watch

The turnover margin. Nothing else.

Why it matters

Seattle gave the ball away 1.53 times per game last year, 31st in the league, and Darnold threw 14 interceptions. Seattle's defense took it away 1.53 times per game, fourth best. Those cancel out most weeks. In the Super Bowl they didn't: zero Seattle giveaways, three New England turnovers, 16-point win. This game is decided by whether Darnold's giveaways come back.

DERIVED
10
If you see

Fourth and short, either side of midfield.

Watch

New England go for it. Then watch Seattle's response when the situation flips.

Why it matters

New England converted 72% of fourth downs last year, second in the league, and its defense allowed just 33%, also second. Seattle converted 58% (15th) and allowed 52% (12th). Vrabel will be aggressive. Macdonald has the better defense to punish it. Every fourth down tonight is a swing play.

DERIVED

The matchupAll numbers are 2025 regular season (17 games). 2026 data replaces them as games are played.

Rank is out of 32. For the top rows, Seattle's defense is measured against New England's offense on the same stat, and vice versa below.

Seattle defense vs New England offense

SEA D
NE O
EPA per play
-0.1111st
+0.1571st
Success rate
40.1%3rd
48.4%4th
Pass EPA
-0.0756th
+0.3061st
Rush EPA
-0.2071st
-0.08424th
Explosive plays
8.5%1st
14.9%2nd
3rd down
32.2%1st
43.6%6th
Points per drive
1.511st
2.722nd
Turnovers per game
1.534th
0.9410th

Seattle offense vs New England defense

SEA O
NE D
EPA per play
+0.03912th
-0.04111th
Success rate
46.7%7th
44.9%18th
Pass EPA
+0.1218th
-0.03811th
Rush EPA
-0.07621st
-0.07915th
Explosive plays
13.9%6th
11.9%15th
Red zone TD rate
57.7%21st
66.7%25th
Points per drive
2.528th
1.837th
Turnovers per game
1.5331st
1.0620th

New EnglandOpponent scouting · 2025 regular season

Strengths and weaknesses

Offense

Strengths: epa per play (1st), pass epa per dropback (1st), explosive play rate (2nd).
Weaknesses: rush epa per carry (24th), sack rate taken (24th), red zone td rate (11th).

Defense

Strengths: 4th down conversion allowed (2nd), points allowed per game (4th), points per drive allowed (7th).
Weaknesses: red zone td rate allowed (25th), takeaways per game (20th), sack rate generated (20th).

Full New England profileOffense, defense, and tendencies

Offense

EPA per play+0.1571stlg +0.013
Success rate48.4%4thlg 44.3%
Pass EPA per dropback+0.3061stlg +0.043
Rush EPA per carry-0.08424thlg -0.063
Explosive play rate14.9%2ndlg 12.1%
3rd down conversion43.6%6thlg 39.9%
4th down conversion72.0%2ndlg 55.9%
Red zone TD rate62.8%11thlg 60.5%
Points per drive2.722ndlg 2.16
Points per game28.82ndlg 23.0
Giveaways per game0.9410thlg 1.10
Sack rate taken7.8%24thlg 6.5%
Tendencies
Pass rate over expected+3.96th highestlg -0.9
Avg depth of target9.22nd highestlg 7.8
Deep throw rate (20+)14.3%3rd highestlg 11.5%
QB scramble rate10.4%2nd highestlg 5.9%
Play action rate24.1%15th highestlg 23.2%
Screen rate4.2%32nd highestlg 7.8%
Pre-snap motion rate52.5%21st highestlg 54.9%
No-huddle rate2.3%32nd highestlg 9.9%
Runs into 8+ box21.6%2nd highestlg 8.7%
Blitz rate faced31.1%12th highestlg 29.5%
Avg pass rushers faced4.375th highestlg 4.30

Defense

EPA per play allowed-0.04111thlg +0.014
Success rate allowed44.9%18thlg 44.3%
Pass EPA allowed-0.03811thlg +0.043
Rush EPA allowed-0.07915thlg -0.061
Explosive rate allowed11.9%15thlg 12.1%
3rd down conversion allowed38.7%12thlg 40.0%
4th down conversion allowed33.3%2ndlg 55.7%
Red zone TD rate allowed66.7%25thlg 60.6%
Points per drive allowed1.837thlg 2.16
Points allowed per game18.84thlg 23.0
Takeaways per game1.0620thlg 1.10
Sack rate generated5.9%20thlg 6.5%
Tendencies
Pass rate over expected faced-1.319th highestlg -0.7
Avg depth of target faced7.425th highestlg 7.8
Deep throw rate faced10.8%18th highestlg 11.5%
QB scramble rate faced5.1%24th highestlg 5.9%
Play action rate faced24.7%10th highestlg 23.2%
Screen rate faced7.8%17th highestlg 7.8%
Motion rate faced57.6%11th highestlg 54.9%
No-huddle rate faced8.7%21st highestlg 9.8%
Runs faced with 8+ box10.1%11th highestlg 8.8%
Blitz rate27.4%19th highestlg 29.4%
Avg pass rushers sent4.3313th highestlg 4.30

SeattleSelf scout · 2025 regular season

Strengths and weaknesses

Offense

Strengths: points per game (3rd), explosive play rate (6th), success rate (7th).
Weaknesses: giveaways per game (31st), rush epa per carry (21st), red zone td rate (21st).

Defense

Strengths: epa per play allowed (1st), rush epa allowed (1st), explosive rate allowed (1st).
Weaknesses: sack rate generated (13th), 4th down conversion allowed (12th), pass epa allowed (6th).

Full Seattle profileOffense, defense, and tendencies

Offense

EPA per play+0.03912thlg +0.013
Success rate46.7%7thlg 44.3%
Pass EPA per dropback+0.1218thlg +0.043
Rush EPA per carry-0.07621stlg -0.063
Explosive play rate13.9%6thlg 12.1%
3rd down conversion40.6%15thlg 39.9%
4th down conversion58.3%15thlg 55.9%
Red zone TD rate57.7%21stlg 60.5%
Points per drive2.528thlg 2.16
Points per game28.43rdlg 23.0
Giveaways per game1.5331stlg 1.10
Sack rate taken5.2%9thlg 6.5%
Tendencies
Pass rate over expected-4.126th highestlg -0.9
Avg depth of target7.916th highestlg 7.8
Deep throw rate (20+)11.1%18th highestlg 11.5%
QB scramble rate2.9%26th highestlg 5.9%
Play action rate25.2%11th highestlg 23.2%
Screen rate6.0%24th highestlg 7.8%
Pre-snap motion rate56.9%13th highestlg 54.9%
No-huddle rate7.3%16th highestlg 9.9%
Runs into 8+ box7.9%12th highestlg 8.7%
Blitz rate faced31.5%11th highestlg 29.5%
Avg pass rushers faced4.393rd highestlg 4.30

Defense

EPA per play allowed-0.1111stlg +0.014
Success rate allowed40.1%3rdlg 44.3%
Pass EPA allowed-0.0756thlg +0.043
Rush EPA allowed-0.2071stlg -0.061
Explosive rate allowed8.5%1stlg 12.1%
3rd down conversion allowed32.2%1stlg 40.0%
4th down conversion allowed52.3%12thlg 55.7%
Red zone TD rate allowed50.0%3rdlg 60.6%
Points per drive allowed1.511stlg 2.16
Points allowed per game17.21stlg 23.0
Takeaways per game1.534thlg 1.10
Sack rate generated6.8%13thlg 6.5%
Tendencies
Pass rate over expected faced+1.112th highestlg -0.7
Avg depth of target faced6.632nd highestlg 7.8
Deep throw rate faced10.8%19th highestlg 11.5%
QB scramble rate faced6.8%8th highestlg 5.9%
Play action rate faced21.4%24th highestlg 23.2%
Screen rate faced8.2%13th highestlg 7.8%
Motion rate faced53.7%20th highestlg 54.9%
No-huddle rate faced15.2%2nd highestlg 9.8%
Runs faced with 8+ box5.0%27th highestlg 8.8%
Blitz rate24.7%25th highestlg 29.4%
Avg pass rushers sent4.2426th highestlg 4.30

Players to know2025 usage · checked against the 2026 roster feed

Greyed-out names have moved on. Roster snapshot is from nflverse on the build date and may predate final cuts, so trust the game broadcast over this table.

New England

Drake Maye
+0.298EPA/db54%success72%comp 31/8TD/INT9.1aDOT11.5%scramble8.7%sack rate
TreVeyon Henderson RB 42 tgt · 221 yds · 1 TD
180 car · 911 yds · 9 TD
44% of carries
Rhamondre Stevenson RB 38 tgt · 347 yds · 2 TD
131 car · 605 yds · 7 TD
32% of carries
Stefon Diggs WR now WAS102 tgt · 1013 yds · 4 TD
20% of targets
Hunter Henry TE 87 tgt · 768 yds · 7 TD
17% of targets
Mack Hollins WR 65 tgt · 550 yds · 2 TD
13% of targets
DeMario Douglas WR 46 tgt · 447 yds · 3 TD
Kayshon Boutte WR now HOU46 tgt · 551 yds · 6 TD
Austin Hooper TE now ATL26 tgt · 263 yds · 2 TD
Kyle Williams WR 21 tgt · 209 yds · 3 TD
New this year
A.J. Brown WR from PHI121 tgt · 1003 yds
Romeo Doubs WR from GB86 tgt · 726 yds
Defenders
Harold Landry III LB8.5 sacks · 19 QB hits · 10 TFL
Marcus Jones DB2 sacks · 3 INT · 11 PD · 8 TFL
Milton Williams DL3.5 sacks · 8 QB hits · 8 TFL
Elijah Ponder LB4 sacks · 5 QB hits
Robert Spillane LB1 sacks · 2 INT · 5 PD

Seattle

Sam Darnold
+0.126EPA/db52%success68%comp 25/14TD/INT7.9aDOT2.8%scramble5.4%sack rate
Kenneth Walker III RB now KC36 tgt · 282 yds · 0 TD
221 car · 1027 yds · 5 TD
45% of carries
Zach Charbonnet RB status A0224 tgt · 144 yds · 0 TD
184 car · 730 yds · 12 TD
37% of carries
Jaxon Smith-Njigba WR 163 tgt · 1793 yds · 10 TD
34% of targets
AJ Barner TE 68 tgt · 519 yds · 6 TD
14% of targets
Cooper Kupp WR 71 tgt · 595 yds · 2 TD
15% of targets
Rashid Shaheed WR 26 tgt · 188 yds · 0 TD
Elijah Arroyo TE 26 tgt · 179 yds · 1 TD
Tory Horton WR 22 tgt · 161 yds · 5 TD
New this year
Emanuel Wilson RB from GB125 car · 496 yds
Rashid Shaheed WR from NO92 tgt · 687 yds
Defenders
Leonard Williams DL7 sacks · 22 QB hits · 9 TFL
DeMarcus Lawrence LB6 sacks · 20 QB hits · 11 TFL
Uchenna Nwosu LB7 sacks · 15 QB hits · 7 TFL
Drake Thomas LB3.5 sacks · 6 QB hits · 1 INT · 8 PD · 10 TFL
Byron Murphy II DL7 sacks · 13 QB hits · 7 TFL
Nick Emmanwori DB2.5 sacks · 1 INT · 11 PD · 9 TFL
Ernest Jones LB0.5 sacks · 5 INT · 7 PD

The coachesRecords, head to head, and what their units have done

Seattle
Mike Macdonald
Career 27-10 (24-10 reg, 3-0 post)
vs New England 2-0 (1-0 reg, 1-0 post)
New England
Mike Vrabel
Career 73-52 (68-48 reg, 5-4 post)
vs Seattle 1-2 (1-1 reg, 0-1 post)

Head to head

Macdonald leads 2-0, counting the game where he ran a defense instead of a team.

2023 Wk 6
Macdonald as defensive coordinator
BAL 24 at TEN 16Macdonald
2025 Super Bowl
both head coaches
SEA 29 at NE 13Macdonald

Mike Macdonald, year by year

Defensive rank in every season we can attribute to him, head coaching or coordinating.

2022 BAL defensive coord10-8*14th defense
2023 BAL defensive coord14-5*2nd defense
2024 SEA10-710th defense
2025 SEA17-3*1st defense

Mike Vrabel, year by year

His teams' offensive rank, since that's what New England is now built around.

2018 TEN9-724th offense
2019 TEN11-8*6th offense
2020 TEN11-6*2nd offense
2021 TEN12-6*15th offense
2022 TEN7-1025th offense
2023 TEN6-1115th offense
2025 NE17-4*1st offense

Look at the two-year pattern. Macdonald's first year running a defense in Baltimore finished 14th. His second year finished 2nd, and he won assistant coach of the year. His first year in Seattle finished 10th. His second year finished 1st, and he won a Super Bowl. Both times the scheme took a season to install and then took over the league. This is year three of the same system with mostly the same personnel, and it's the first time he's ever had that.

Vrabel's record is longer and more mixed. His Titans peaked early, with the 6th and 2nd ranked offenses in 2019 and 2020 behind a punishing run game, then slid to 25th and 15th as the roster aged out. He got fired after back to back losing seasons, sat a year, and rebuilt in New England around a young quarterback instead of a running back. The 2025 Patriots had the best offense in football and a defense that finished 11th. Whatever else you say about him, the man has range.

The head to head is small but not meaningless. Macdonald is 2-0 against Vrabel: once as a coordinator in 2023, when his Ravens defense held Vrabel's Titans to 16, and once in February with the whole thing on the line.

Head coaching records from the nflverse schedule file (coach fields go back to 1999). Coordinator and position-coach years are hand-entered from team bios and are labeled as such. A coordinator does not own a team's win-loss record, so those rows show the unit he ran. Asterisk means the team made the playoffs that season.

Last meetingSame two teams, most recent game

Super Bowl · 2026-02-08
SEA 29NE 13
SEANE
EPA per play-0.052-0.305
Success rate33%41%
Explosive rate15%10%
Giveaways03
Sacks taken16

Super Bowl LX in Santa Clara. Five Jason Myers field goals, a Darnold to Barner touchdown, and a 45-yard Nwosu pick-six. Seattle's offense was ordinary (-0.05 EPA per play) but never turned it over. New England's offense, the best in football all year, was held to -0.31 EPA per play, took six sacks, and gave it away three times: a strip sack with 16 seconds left in the third, then two fourth quarter interceptions out of no-huddle. That's the blueprint, and Vrabel has had seven months to study it.

Football IQThe concepts used above, explained once

EPA per play

Expected Points Added. Every down, distance, and field position has an expected point value. EPA is how much a play moved that number. Positive is good for the offense. Average it over a season and you get the single best measure of how good a unit actually is, because it credits a 4-yard gain on 3rd and 3 more than a 4-yard gain on 3rd and 10.

Tonight: Seattle's defense allowed -0.111 EPA per play last year. Every snap, the opponent's expected points went down by about a tenth of a point. Over 1,000 plays that's the difference between the best defense in the league and an average one.

Success rate

The share of plays that gained enough to stay on schedule: roughly 40% of the distance on first down, 60% on second, 100% on third and fourth. It measures consistency where EPA measures impact. A team can have great EPA from a few explosive plays and a bad success rate, which usually means it's boom or bust.

Tonight: New England's passing game was first in both. Seattle's run game was 21st in EPA and 23rd in success rate, which is why the pass has to carry the offense.

Pass rate over expected

Given the down, distance, score, and clock, how often would an average team throw here? PROE is how much more or less a team actually throws than that. It tells you the play caller's personality, not just his situation.

Tonight: Seattle was -4.1 on neutral early downs last year, meaning it ran more than the situation called for. New England was +3.9. Same record, opposite philosophies.

Simulated pressure

The defense shows five or six potential rushers before the snap, then sends four, but not the four you expected. A lineman drops into coverage and a linebacker or safety comes instead. The quarterback's protection was set for the wrong people. You get blitz-like confusion with zone-coverage numbers behind it.

Tonight: This is the Macdonald signature. Seattle rushed fewer players than almost anyone and still finished first in defensive EPA. The pressure comes from the offense blocking the wrong guy.

Average depth of target

aDOT. How far past the line of scrimmage the ball travels on an average throw. High aDOT means an aggressive, downfield passing game. Low aDOT means quick game and checkdowns. Defenses can force a low aDOT by taking away the deep ball and making the quarterback settle.

Tonight: Maye's 9.2 was the second highest in the league. Quarterbacks facing Seattle averaged 6.6, the lowest. Tonight's first deep ball tells you which one bends.

Box count

The number of defenders lined up within roughly five yards of the line of scrimmage before a run. Seven is standard. Eight or more is a loaded box: the defense is daring you to throw. The offense's answer to a loaded box is play action or a quick throw to the vacated area.

Tonight: New England saw eight-man boxes on 21.6% of its runs last year, second most in the league, because defenses would rather stop Henderson than cover Maye's receivers with an extra man. It still worked because Maye punished it.