Mort's Report — Sports Data Analytics
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Week 8 · Sun, 1:00 PM EST · Fox

Atlanta Falcons at Tampa Bay Buccaneers

Raymond James Stadium, Tampa, FL

Atlanta Falcons
Falcons
ATL
8-9 · #13
54%
TB to win
TB -1.0 · Coin flip
Tampa Bay Buccaneers
Buccaneers
TB
8-9 · #22

Market line for comparison: TB -2.5 · O/U 46.5 (DraftKings). The model never sees this.

Rating inputs

Each starting rating is a weighted blend of five real football inputs, not just wins and losses. Every term below is measured from the 2025 season.

Atlanta Falcons

InputRatingWeightContribution
Elo from results
8-9 in 2025, opponent-adjusted
151780%1213.9
Scoring strength
353–401 points (-48.0 differential) → 42.5% expected win rate
14485%72.4
Late-season form
same replay with the closing 6 weeks counted double
155815%233.7
Offense / defense split
20.8 PPG scored, 23.6 allowed → offense 1444, defense 1486
14290%0.0
Blended 2025 rating1520.0
Offseason regression
25% back toward the 1500 league mean
1515.0
Roster / QB adjustment
No offseason adjustment applied.
0.0
ATL 2026 starting rating1515

Tampa Bay Buccaneers

InputRatingWeightContribution
Elo from results
8-9 in 2025, opponent-adjusted
145280%1161.3
Scoring strength
380–411 points (-31.0 differential) → 45.4% expected win rate
14685%73.4
Late-season form
same replay with the closing 6 weeks counted double
142415%213.5
Offense / defense split
22.4 PPG scored, 24.2 allowed → offense 1484, defense 1471
14540%0.0
Blended 2025 rating1448.3
Offseason regression
25% back toward the 1500 league mean
1461.2
Roster / QB adjustment
No offseason adjustment applied.
0.0
TB 2026 starting rating1461

The calculation

Every term the model applies, in order, from both teams' starting ratings to the number on the card.

Tampa Bay Buccaneers base rating
1506.1
2026 starting Elo, after offseason regression
Atlanta Falcons base rating
− 1515.1
2026 starting Elo, after offseason regression
Rating edge (home perspective)
−9.1
ATL is the better-rated side on neutral ground
Home-field advantage
+25.0
Flat 25 points for every host
Rest differential
+0.0
Both teams open the season equally rested
Analyst override
+0.0
No manual adjustment on this game
Injury adjustment
+12.8
ATL is the more banged-up side — see the injury breakdown below
Adjusted Elo difference
+28.7

Win probability

1 / (1 + 10−(28.7 / 400))

54.1% TB

Model spread

28.7 ÷ 25, rounded to the nearest half point

TB -1.0

Confidence band

Coin flip · under 55%Lean · 55–65%Confident · 65–75%Strong · 75% and up

Injury adjustment

Report pulled 2026-10-27 13:20 UTC

Ratings describe a team over a whole season. Who is actually available on Sunday is a separate question, so the injury adjustment is applied last, after home field and rest. Each listed player costs a share of a point of spread based on his position, whether he starts, and how likely he is to play.

Before injuries

52.3%

TB by 0.5

Injury term

+12.8 Elo

+0.5 pts of spread, home perspective

After injuries

54.1%

TB by 1.0 · moved 1.8 pts of probability

Atlanta Falcons

−0.7 pts

  • Billy Bowman Jr. CBOut−0.10
  • Olamide Zaccheaus WROut−0.10
  • Brian Robinson Jr. RBOut−0.10
  • Michael Jerrell OTOut−0.10

Tampa Bay Buccaneers

−0.2 pts

  • Christian Rozeboom LBOut−0.10
  • Luke Goedeke OTQuestionable−0.03
  • Emeka Egbuka WRQuestionable−0.03
  • Antoine Winfield Jr. SQuestionable−0.03

Statuses come straight from the league injury report: out and injured reserve count in full, doubtful three quarters, questionable roughly a third, probable a tenth. Starters are identified from the depth chart; anyone the model cannot place is treated as a backup.

Move the factors yourself

Every term feeds one number: the adjusted Elo difference. Drag any of them and watch the spread and confidence follow.

1506

Drag to see how much a stronger or weaker host changes the call.

1515

The two ratings only matter through their difference.

+25 pts

The tuned value is a flat 25 points for every host.

+0 pts

5 Elo per extra day of rest, capped at 25 either way.

+0 pts

A manual thumb on the scale, in the home team's direction.

Win probability

52.3% TB

Model value

Model spread

TB -0.5

Elo diff +15.9 · Coin flip

Probability curve

The logistic curve from −600 to +600 Elo, home perspective. The dot is your current setting; the faint vertical line is where the model itself sits. Notice the curve is flattest at the extremes — near a coin flip, every point of Elo moves the number most.

Where the ratings came from

Each rating is the end state of a full 2025 season of Elo updates, regressed toward the league mean for the new season.

Atlanta Falcons
Atlanta Falcons
#13 of 32 · 8-9 in 2025
2025 final rating
1517.3
Regress 25% toward 1500
−2.4
2026 starting rating
1515.0

2025 Elo trail

Biggest swings

  • L 10–34 vs MIA−63.5
  • L 0–30 at CAR−55.8
  • W 22–6 at MIN+48.1
Tampa Bay Buccaneers
Tampa Bay Buccaneers
#22 of 32 · 8-9 in 2025
2025 final rating
1451.7
Regress 25% toward 1500
+9.5
2026 starting rating
1461.2

2025 Elo trail

Biggest swings

  • L 9–24 at DET−37.6
  • W 23–3 at NO+34.0
  • W 30–19 vs SF+32.8

Matchup factors

Everything beyond the two base ratings that moved this specific number.

Home field

+25.0 pts

worth 3.6 points of win probability

TB hosts at Raymond James Stadium. Every host gets the same flat 25 points — the model does not rate crowds individually.

Rest

+0.0 pts

Both teams come in on equal rest, so there is no rest edge to give.

Analyst override

+0.0 pts

No manual adjustment. The number here is pure model output.

2025 head to head

  • Week 1: TB won 23–20 (TB on the road)
  • Week 15: ATL won 29–28 (TB at home)

Strength of schedule

Who each team actually played in 2025, measured by their opponents' current ratings. This is context for reading the ratings — it is not an input to the prediction above, because beating good teams already raises a team's Elo more.

Atlanta Falcons

1497

average opponent rating · 20th toughest of 32

vs above-average teams
5-3
vs below-average teams
3-6
Tampa Bay Buccaneers

1511

average opponent rating · 5th toughest of 32

vs above-average teams
5-6
vs below-average teams
3-3

What the model does not know

  • · How an injury actually plays out — the adjustment above prices availability, not how well a replacement performs.
  • · Coaching and roster turnover between seasons.
  • · Weather, travel distance and short-week fatigue beyond raw rest days.
  • · Anything a betting market has priced in since the season ended.
Read the full methodology →