KUP 1-0 SAB · 58% LIN 0-2 MJA · 60% DIN 2-0 FCT · 65% CEL 1-0 EGN · 60% HEA 1-0 STU · 56% SHA 1-0 ARA · 60% KAI 1-1 OMO · 56% KAU 1-0 KIK · 58% LEC 2-1 AAR · 58% HAP 2-0 VIK · 63% UNI 1-0 LEV · 52% GOR 1-2 FEN · 59% FKC 3-0 LAR · 65% SLO 2-0 SAB · 63% KUP 1-0 SAB · 58% LIN 0-2 MJA · 60% DIN 2-0 FCT · 65% CEL 1-0 EGN · 60% HEA 1-0 STU · 56% SHA 1-0 ARA · 60% KAI 1-1 OMO · 56% KAU 1-0 KIK · 58% LEC 2-1 AAR · 58% HAP 2-0 VIK · 63% UNI 1-0 LEV · 52% GOR 1-2 FEN · 59% FKC 3-0 LAR · 65% SLO 2-0 SAB · 63%
Serie A · Regular Season - 7 Aug 30, 2026 · 18:45 · UTC Unipol Domus, Cagliari Not Started

Cagliari
vs
Inter.

10 AI models read this fixture. The plurality on 1X2 leans toward Inter (10 of 10 models). The mean predicted score (rounded from all models) is 0–2 at 67% mean confidence (Medium band) — see the strip and table below.

Who do you think will win?

Vote before kick-off and compare with AI

— Consensus

Where the panel lands.

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

Cagliari win 0%

0 / 10 models

Draw 0%

0 / 10 models

Inter win 100%

10 / 10 models

— Model breakdown

10 picks. Receipts attached.

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

#
Model
Pick
Score
Conf.
Reasoning
01
GPT-4o
Inter win
0–2
72%
Inter's recent dominance over Cagliari and superior squad depth suggest a controlled away win.
02
Claude Sonnet (Latest)
Inter win
0–2
60%
Inter have dominated recent H2H meetings, often keeping Cagliari scoreless, and their squad depth should tell early in the season.
03
Gemini 3.1 Pro Preview
Inter win
0–2
72%
Inter has dominated this fixture recently, winning the last four meetings by multiple goals while keeping clean sheets in three of them. Their superior squad depth and quality should secure a comfortable away victory.
04
Mistral Large 2512
Inter win
0–2
72%
Inter’s superior squad depth and recent H2H dominance at Cagliari suggest a controlled away win with clean sheet likely.
05
DeepSeek Chat (V3)
Inter win
0–2
68%
Inter's dominance in recent H2H and stronger squad suggest a controlled away win.
06
Qwen 2.5 72B Instruct
Inter win
0–2
70%
Inter's strong form and recent dominance in H2H meetings, coupled with Cagliari's struggles at home.
07
Llama 3.1 70B Instruct
Inter win
0–2
62%
Inter's strong recent head-to-head record and Cagliari's struggles against top teams.
08
MiMo V2.5 Pro
Inter win
0–2
65%
Inter's recent H2H dominance includes three consecutive away wins with clean sheets at Cagliari; early season continuity favors a low-scoring Inter victory.
09
Cohere Command R+ (08-2024)
Inter win
2–3
62%
Inter's recent dominance in this fixture, plus superior form and attacking quality, likely outweighs Cagliari's home advantage.
10
Grok 4.3
Inter win
0–2
62%
Inter's repeated clean-sheet wins at this venue in recent H2H and clear squad gap support 0-2 away.
— Scoreline frequency

How often each scoreline showed up.

9 of 10 models settled on 0–2. That convergence is a strong scoreline signal—many fixtures fan out wider across the panel.

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

Match overview

Looking for a today prediction on Cagliari 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 (0 - 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% / 0% / 100% home, draw, and away (rounded).

If you are asking who will win Cagliari 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

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

02
Medium confidence

Mean 67% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
xG tilt 0.20 vs 2.10

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

Confidence trend

Cumulative average confidence in table order.

First model Last model
— Match context

Form, history, team news.

Cagliari
#3 · 0 PTS · GD 0
Last 5
D W W L D
4 GF · 4 GA
Recent fixtures
  • Sampdoria 0-0 D
  • AC Milan 1-2 W
  • Torino 2-1 W
  • Udinese 0-2 L
  • Bologna 0-0 D
Team news

No major injury updates in the current API snapshot.

Inter
#8 · 0 PTS · GD 0
Last 5
W D D W W
11 GF · 5 GA
Recent fixtures
  • Karlsruher SC 1-2 W
  • Bologna 3-3 D
  • Hellas Verona 1-1 D
  • Lazio 0-2 W
  • Lazio 0-3 W
Team news

No major injury updates in the current API snapshot.

— Head to head

Last five meetings.

CAG 0 · D 1 · INT 4

INT VS CAG
3-0
HOME WIN
Apr 17, 2026
CAG VS INT
0-2
AWAY WIN
Sep 27, 2025
INT VS CAG
3-1
HOME WIN
Apr 12, 2025
CAG VS INT
0-3
AWAY WIN
Dec 28, 2024
INT VS CAG
2-2
DRAW
Apr 14, 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 Cagliari, 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.

Cagliari
~0%
implied lean
Draw
~0%
implied lean
Inter
~100%
implied lean

Over / under prediction (totals)

Model-derived xG sums to 2.30 goals in expectation. A notional totals line near 2.6 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 Cagliari 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 2.30 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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Cagliari vs Inter · Serie A

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Confidence bands, contrarian flags, late team-news re-runs. No upsells, no popups.