AUX 1-1 NIC · 55% LEH 1-1 ANG · 55% LOR 1-1 TOU · 56% PAR 1-1 LYO · 55% ATA 2-1 CAG · 61% SUN 1-2 ARS · 62% REA 2-0 RAY · 64% TOR 0-2 ASR · 59% LIL 2-0 EST · 63% COV 1-2 BRI · 60% COM 1-0 PAR · 58% LEC 1-1 MON · 57% RBL 2-1 HAM · 65% LEV 1-2 BAR · 65% AUX 1-1 NIC · 55% LEH 1-1 ANG · 55% LOR 1-1 TOU · 56% PAR 1-1 LYO · 55% ATA 2-1 CAG · 61% SUN 1-2 ARS · 62% REA 2-0 RAY · 64% TOR 0-2 ASR · 59% LIL 2-0 EST · 63% COV 1-2 BRI · 60% COM 1-0 PAR · 58% LEC 1-1 MON · 57% RBL 2-1 HAM · 65% LEV 1-2 BAR · 65%
Serie A · Regular Season - 4 May 23, 2026 · 16:00 · UTC Stadio Renato Dall'Ara, Bologna Match Finished · 90'

Bologna
vs
Inter.

10 AI models read this match. The plurality on 1X2 leans toward Inter (8 of 10 models). The mean predicted score (rounded from all models) is 1–2 at 61% mean confidence (Medium band) — see the strip and table below.

Who do you think will win?

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

Still not sure? Ask 10 AIs at once:
“Will Bologna beat Inter 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.

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— Consensus

Where the panel lands.

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

Bologna win 0%

0 / 10 models

Draw 20%

2 / 10 models

Inter win 80%

8 / 10 models

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— 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
Inter win
2–3
68%
Inter's stronger squad and recent head-to-head advantage suggest a narrow win, despite Bologna's home ground support.
02
Claude Sonnet 5
Draw
1–1
42%
Bologna's last two home H2H fixtures produced a 1-1 and a 1-0 win; Inter's quality prevents a Bologna win, but Dall'Ara form supports Bologna not losing — 1-1 fits the pattern.
03
Gemini 3.8 Flash
Inter win
1–2
55%
Inter's superior squad quality should edge a tight contest on the final day, though Bologna's solid home record makes a narrow margin likely.
04
Grok 4.6
Inter win
1–2
65%
Inter's stronger squad and recent H2H edge (3-1 win) suggest an away victory at Bologna's venue.
05
DeepSeek V4 Pro
Inter win
1–2
65%
Inter's stronger form and recent H2H dominance outweigh Bologna's home advantage.
06
Qwen 3.8 Max
Inter win
1–2
63%
Inter's strong recent form and historical edge, coupled with Bologna's mixed results, suggest an away win with a narrow margin.
07
Mistral Medium 3.5
Inter win
1–2
62%
Inter’s attacking quality and recent H2H dominance suggest a narrow away win; Bologna’s home form is inconsistent.
08
Llama 3.1 70B Instruct
Inter win
1–2
62%
Inter's recent form and past wins at Bologna's venue give them an edge, but Bologna's defense can still cause trouble.
09
Cohere Command R+ (08-2024)
Inter win
2–3
68%
Inter's form, finishing, and quality edge Bologna's home advantage; a close game, but Inter's attack looks more dangerous.
10
MiMo V2.5 Pro
Draw
1–1
55%
H2H shows competitive matches with recent draws; Bologna's home advantage may balance Inter's form, leading to a low-scoring draw.
— Scoreline frequency

How often each scoreline showed up.

6 of 10 models settled on 1–2. That convergence is a strong scoreline signal—many fixtures fan out wider across the panel.

  • 1–2
    6 models
  • 2–3
    2 models
  • 1–1
    2 models

Match overview

Looking for a today prediction on Bologna vs Inter 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 (1 - 2; 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 Inter win, with vote shares roughly 0% / 20% / 80% home, draw, and away (rounded).

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

80% of models lean away — the clearest cluster on this fixture before kickoff.

02
Medium confidence

Mean 61% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
xG tilt 1.20 vs 2.00

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.

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 Draw · AI Inter win

1X2: Miss Score: Off
— Match context

Form, history, team news.

Bologna
Last 5
D L L D W
6 GF · 7 GA
Recent fixtures
  • Sassuolo 2-2 D
  • Atalanta 1-0 L
  • Lazio 0-1 L
  • Inter 3-3 D
  • Atalanta 0-1 W
Team news

No major injury updates in the current API snapshot.

Inter
Last 5
W W W D D
12 GF · 7 GA
Recent fixtures
  • Napoli 3-2 W
  • Cagliari 0-1 W
  • Monza 4-1 W
  • Bologna 3-3 D
  • Hellas Verona 1-1 D
Team news

No major injury updates in the current API snapshot.

— Head to head

Last five meetings.

BOL 1 · D 2 · INT 2

BOL VS INT
3-3
DRAW
May 23, 2026
INT VS BOL
3-1
HOME WIN
Jan 4, 2026
BOL VS INT
1-0
HOME WIN
Apr 20, 2025
INT VS BOL
2-2
DRAW
Jan 15, 2025
BOL VS INT
0-1
AWAY WIN
Mar 9, 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 0% of models side with Bologna, treat that as the default script unless late team news breaks the assumptions.
  • Watch the draw lane at 20% — 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.

Bologna
~0%
implied lean
Draw
~20%
implied lean
Inter
~80%
implied lean

Over / under prediction (totals)

Model-derived xG sums to 3.20 goals in expectation. A notional totals line near 3.5 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 Bologna 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 3.20 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: Inter 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.

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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.