EST 1-1 CAS · 51% SAN 0-1 SCB · 57% AME 0-2 BEş · 61% GöZ 1-0 RIZ · 53% KOR 1-0 SKB · 53% BRA 1-2 BOD · 57% SCP 1-2 189 · 58% MOD 1-1 EMP · 51% DIN 1-1 FAR · 53% SAN 1-1 BOC · 54% PAN 0-2 PAO · 63% LEC 2-0 RAD · 59% ACM 2-0 LEC · 66% MAR 1-2 PAR · 60% EST 1-1 CAS · 51% SAN 0-1 SCB · 57% AME 0-2 BEş · 61% GöZ 1-0 RIZ · 53% KOR 1-0 SKB · 53% BRA 1-2 BOD · 57% SCP 1-2 189 · 58% MOD 1-1 EMP · 51% DIN 1-1 FAR · 53% SAN 1-1 BOC · 54% PAN 0-2 PAO · 63% LEC 2-0 RAD · 59% ACM 2-0 LEC · 66% MAR 1-2 PAR · 60%
Serie A · Regular Season - 5 Sep 13, 2026 · 16:00 · UTC Stadio Diego Armando Maradona, Naples Match Finished · 90'

Napoli
vs
Bologna.

Quick answer

Who will win Napoli vs Bologna?

Final score: Napoli 1–0 Bologna. Before kickoff, 12 of 12 AI models pick Napoli to win (100%); the consensus was right.

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

Head-to-head history → Napoli form Bologna form

12 AI models read this match. The plurality on 1X2 leans toward Napoli (12 of 12 models). The mean predicted score (rounded from all models) is 2–1 at 60% 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 Napoli beat Bologna 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.

Napoli win 100%

12 / 12 models

Draw 0%

0 / 12 models

Bologna win 0%

0 / 12 models

— Model breakdown

12 picks. Receipts attached.

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

#
Model
Pick
Score
Conf.
Reasoning
01
GPT-5.6 Luna
Napoli win
2–0
67%
Napoli's strong home form and defensive solidity give them the edge against Bologna at Stadio Diego Armando Maradona.
02
Claude Sonnet 5
Napoli win
2–1
56%
Napoli strong at Maradona early season; Bologna competitive but recent H2H shows tight, low-margin games favoring hosts.
03
Gemini 3.8 Flash
Napoli win
2–1
60%
Napoli possess a strong home advantage at the Maradona, but recent H2H meetings show Bologna can be competitive and find the net. A narrow home victory seems the most balanced expectation.
04
Grok 4.6
Napoli win
2–1
52%
Napoli hold home edge at Maradona in round 4; recent H2H shows goals but venue favors narrow Napoli win.
05
DeepSeek V4 Pro
Napoli win
2–1
62%
Napoli’s home advantage and recent head-to-head wins suggest a narrow victory.
06
Qwen 3.8 Max
Napoli win
2–1
62%
Napoli's strong home form and recent history suggest a narrow win, despite Bologna's capable away performances.
07
Mistral Medium 3.5
Napoli win
2–1
62%
Napoli’s home form and attacking strength edge Bologna’s resilience; recent H2H shows narrow wins likely.
08
Llama 3.1 70B Instruct
Napoli win
2–1
62%
Napoli's stronger form and home advantage at Stadio Diego Armando Maradona give them a slight edge; Bologna's recent win over Napoli is a caution, but Napoli's overall tempo and finishing are likely to prevail.
09
Kimi K3
Napoli win
2–0
58%
Napoli strong at the Maradona with superior squad depth; Bologna competitive but typically struggle to score away against top sides, supporting a controlled home win.
10
GLM 5.3
Napoli win
2–0
58%
Napoli's home strength at the Maradona typically overwhelms Bologna's compact setup; expect controlled possession with a clean-sheet edge given Bologna's modest away scoring.
11
Cohere Command R+ (08-2024)
Napoli win
2–1
63%
Home edge from venue and recent history; both offenses are capable, but Napoli's attack has a slight edge in form and finishing.
12
MiMo V2.5 Pro
Napoli win
2–1
55%
Napoli at home with recent H2H win, but Bologna's 3-2 win in May suggests they can score; expect a tight contest with narrow home edge.
— Scoreline frequency

How often each scoreline showed up.

9 of 12 models settled on 2–1. That convergence is a strong scoreline signal—many fixtures fan out wider across the panel.

  • 2–1
    9 models
  • 2–0
    3 models

Match overview

Looking for a today prediction on Napoli vs Bologna in Serie A? 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 (2 - 1; 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 Napoli win, with vote shares roughly 100% / 0% / 0% home, draw, and away (rounded).

If you are asking who will win Napoli vs Bologna, 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 Napoli

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

02
Medium confidence

Mean 60% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
xG tilt 2.00 vs 0.75

Derived from predicted scorelines (model means), not live match 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.

Match stats forecast

Corners, cards and shots from each side's last 10 matches at this venue, blended with the league average. Pure statistics, not an AI vote.

No AI
Metric Napoli Bologna Expected total Lean
Corners 5.7 3.4 9.1 Under 9.5 58% Ask AI
Yellow cards 1.0 2.0 2.9 Over 2.5 56% Ask AI
Shots 13.7 11.6 25.3 Under 25.5 53% Ask AI
Shots on target 4.9 3.7 8.7 Over 8.5 50% Ask AI

Sample: 10 matches per side. Probabilities are Poisson estimates for information only.

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
Result check

Actual Napoli win · AI Napoli win

1X2: Miss Score: Off
— Match context

Form, history, team news.

Napoli
Last 5
W L L W W
7 GF · 5 GA
Recent fixtures
  • Bologna 1-0 W
  • Inter 3-2 L
  • Como 1-2 L
  • Genoa 0-2 W
  • Udinese 1-0 W
Team news

No major injury updates in the current API snapshot.

Bologna
Last 5
D L D L L
3 GF · 6 GA
Recent fixtures
  • Torino 1-1 D
  • Napoli 1-0 L
  • Sassuolo 2-2 D
  • Atalanta 1-0 L
  • Lazio 0-1 L
Team news

No major injury updates in the current API snapshot.

— Head to head

Last five meetings.

NAP 2 · D 1 · BOL 2

NAP VS BOL
1-0
HOME WIN
Sep 13, 2026
NAP VS BOL
2-3
AWAY WIN
May 11, 2026
BOL VS NAP
2-0
HOME WIN
Nov 9, 2025
BOL VS NAP
1-1
DRAW
Apr 7, 2025
NAP VS BOL
3-0
HOME WIN
Aug 25, 2024

Betting tips (AI-signal view)

Educational only — not financial advice. We summarize how the AI picks cluster so you can cross-check with your own staking plan.

  • Lean with the plurality: when 100% of models side with Napoli, treat that as the default script unless late team news breaks the assumptions.
  • Watch the draw lane at 0% — tight Serie A games often compress toward stalemates when both midfields win the second-ball.
  • If you chase “best bets today” narratives, require alignment between the headline pick and the score-frequency table; conflicting signals usually mean thinner edge.

Odds & analysis (implied probabilities)

Implied fair percentages from the model vote share (normalized to 100%) approximate how a balanced market might price the 1X2 if it mirrored this panel — useful for odds analysis homework even though we do not quote sportsbook ticks here.

Napoli
~100%
implied lean
Draw
~0%
implied lean
Bologna
~0%
implied lean

Over / under prediction (totals)

Model-derived xG sums to 2.75 goals in expectation. A notional totals line near 3 is consistent with that pace (rounded for readability). If your sportsbook posts a similar number, compare juice and live team news before deciding either side of the total.

Handicap prediction (spread-style read)

When Napoli is priced as the stronger side in the model vote, a −1 handicap narrative only clears if the most common scorelines include multi-goal wins. Cross-check the score-frequency list: if tight one-goal wins dominate, Asian handicaps near pick’em or −0.5 / −0.75 splits often fit the story better than a full −1.5 sell.

BTTS prediction (both teams to score)

With combined offensive weight near 2.75 xG, a heuristic “both teams score” prior lands around 55% yes before defensive adjustments. If several top models forecast clean-sheet pathways, downgrade BTTS enthusiasm even when the raw xG sum looks juicy.

Best bet framing (consensus-led)

Our headline best bet label follows the consensus recommendation: Napoli win. Pair that with the confidence band (Medium) — high dispersion across models usually argues for smaller stake or pass, even when the headline pick looks tempting for a today prediction card on social.

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.