OţE 1-0 COR · 53% ALD 1-1 ATL · 17% PET 1-0 CSI · 55% BAR 3-3 IND · 16% LAN 1-1 EST · 53% CHI - YAT · 0% BRA - NEE · 0% CRO - HAM · 0% DAG - WAL · 0% EXM - THA · 0% FAR - UXB · 0% FAR - CIR · 0% GAI - LEA · 0% MAI - CRA · 0% OţE 1-0 COR · 53% ALD 1-1 ATL · 17% PET 1-0 CSI · 55% BAR 3-3 IND · 16% LAN 1-1 EST · 53% CHI - YAT · 0% BRA - NEE · 0% CRO - HAM · 0% DAG - WAL · 0% EXM - THA · 0% FAR - UXB · 0% FAR - CIR · 0% GAI - LEA · 0% MAI - CRA · 0%
NFL · Regular Season · Week 2 Sep 20, 2026 · 17:00 M&T Bank Stadium, Baltimore Finished

Baltimore Ravens
vs
New Orleans Saints.

Quick answer

Who will win Baltimore Ravens vs New Orleans Saints?

Final score: Baltimore Ravens 17–24 New Orleans Saints. Before kickoff, 10 of 10 AI models pick Baltimore Ravens to win (100%); the consensus was wrong.

Consensus of independent AI models on TuringStats, updated before kickoff. Not betting advice.

10 AI models read this game. The plurality on the winner leans toward Baltimore Ravens (10 of 10 models). The mean predicted score (rounded from all models) is 24–17 at 65% mean confidence (Medium band) — see the strip and table below.

Who do you think will win?

Vote before kick-off and compare with AI

10 AI models · council in session Live match data · Pro

Still not sure? Ask 10 AIs at once:
“Will Baltimore Ravens beat New Orleans Saints in their upcoming match?”

Every model votes yes or no and defends it in a sentence or two. Attach this match's last-5 form, head-to-head and the picks above so they argue from real data — then keep asking the same council follow-ups.

Ask the Council Free today · sign in with Google to convene the council
— Consensus

Where the panel lands.

Vote share across models. Read this strip first, then the line-by-line table.

Baltimore Ravens win 100%

10 / 10 models

New Orleans Saints win 0%

0 / 10 models

— Model breakdown

10 picks. Receipts attached.

Line-by-line comparison of each system’s call.

#
Model
Pick
Score
Conf.
Reasoning
01
GPT-5.6 Luna
Baltimore Ravens win
27–17
68%
Baltimore’s home-field advantage and historically favorable matchup support the Ravens, while the Saints face a difficult defensive environment. With limited 2026 form available, a moderate-confidence, controlled Baltimore win is the best estimate.
02
Claude Sonnet 5
Baltimore Ravens win
28–20
66%
Ravens' home offense under Jackson and strong roster depth should outpace a rebuilding Saints squad; Baltimore historically dominant in this series at M&T Bank Stadium.
03
Gemini 3.8 Flash
Baltimore Ravens win
27–17
72%
Baltimore holds a significant talent and schematic advantage at home, where their dynamic rushing attack should control tempo and wear down the Saints' defense.
04
Grok 4.6
Baltimore Ravens win
24–17
61%
Week 2 at M&T Bank Stadium favors Baltimore’s physical style; recent H2H also leans Ravens. Thin 2026 form data keeps the margin one-score, not a blowout.
05
DeepSeek V4 Pro
Baltimore Ravens win
24–16
63%
Ravens' home edge at M&T Bank Stadium and stronger defense in recent meetings lead; Saints' offense likely struggles to sustain drives early in 2026.
06
Qwen 3.8 Max
Baltimore Ravens win
24–17
62%
Ravens favored at M&T Bank Stadium; H2H shows Baltimore winning 4 of last 5 meetings. Home-field advantage and roster edge support a moderate-margin victory.
07
Mistral Medium 3.5
Baltimore Ravens win
24–17
62%
Ravens' home advantage and recent H2H dominance edge out Saints' inconsistent offense.
08
Kimi K3
Baltimore Ravens win
27–20
62%
Ravens at home in Baltimore with strong H2H record vs Saints (won 4 of last 5). Week 2 early season, moderate confidence on home advantage and defensive edge.
09
GLM 5.3
Baltimore Ravens win
30–20
68%
Ravens' home strength and rushing attack face a rebuilding Saints defense; H2H trend also favors Baltimore, who won the last real meeting 27-13.
10
MiMo V2.5 Pro
Baltimore Ravens win
24–17
62%
Ravens' strong home record and recent H2H dominance (27-13 win in 2022) suggest a defensive, lower-scoring game where their ground control prevails.
— Scoreline frequency

How often each scoreline showed up.

4 of 10 models settled on 24–17. The rest of the list shows where dissent still lives before kickoff.

  • 24–17
    4 models
  • 27–17
    2 models
  • 28–20
    1 model
  • 24–16
    1 model
  • 27–20
    1 model
  • 30–20
    1 model

Match overview

Looking for a today prediction on Baltimore Ravens vs New Orleans Saints in NFL? TuringStats aggregates multiple AI scorelines into one readable page so you can see who the models favor, the mean predicted score shown in the hero (24 - 17; the frequency chart below lists the most common exact scorelines), and implied splits before kickoff.

This prediction hub is written for readers comparing betting tips-style language with transparent model votes — not a single black-box call. The headline read is Baltimore Ravens win, with vote shares roughly 100% / 0% home and away (rounded).

If you are asking who will win Baltimore Ravens vs New Orleans Saints, start with the consensus strip and model table, then cross-check form and injuries in Match context further down — that order keeps the strongest signals first.

— Aggregated insights

What’s moving the panel.

01
Consensus favors Baltimore Ravens

100% of models lean home — the clearest cluster on this fixture before kickoff.

02
Medium confidence

Mean 65% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
Expected points tilt 25.90 vs 17.80

Derived from predicted scorelines (model means), not live game data — useful for pace vs vote-share sanity checks.

04
Match context

Expected-goals tilt and home-field rhythm (see xG on this page) usually explain whether the game stays open or compresses late.

Ask the Council about this match

Pro

10 AI models vote yes or no with this match's last-5 form, head-to-head, live status and the model picks above attached — not from memory. Then keep asking the same council follow-ups.

Confidence trend

Cumulative average confidence in table order.

First model Last model

Explore more

Keep browsing today prediction coverage and league hubs.

Related matches

— Journal

Articles linked to these clubs or AI forecasting.

Ask multiple AIs about this match.

10 models vote yes or no with this match's last-5 form, head-to-head, live status and our model picks attached — not from memory. Then ask follow-ups to the same council.