UNI 1-0 FCS · 57% REN 1-2 MAR · 58% VEN 1-1 FIO · 57% GEN 1-0 FRO · 57% BOR 3-1 SCP · 67% 189 1-1 VFB · 57% SCF 2-1 BOR · 59% FCA 1-2 BAY · 60% FSV 1-1 EIN · 57% CHE 2-0 HUL · 67% LIV 2-1 FUL · 65% AST 2-1 NOT · 62% BOU 1-1 BRE · 57% CRY 1-0 IPS · 60% UNI 1-0 FCS · 57% REN 1-2 MAR · 58% VEN 1-1 FIO · 57% GEN 1-0 FRO · 57% BOR 3-1 SCP · 67% 189 1-1 VFB · 57% SCF 2-1 BOR · 59% FCA 1-2 BAY · 60% FSV 1-1 EIN · 57% CHE 2-0 HUL · 67% LIV 2-1 FUL · 65% AST 2-1 NOT · 62% BOU 1-1 BRE · 57% CRY 1-0 IPS · 60%
Premier League · Regular Season - 3 Oct 10, 2026 · 14:00 · UTC MKM Stadium, Hull Not Started

Hull City
vs
Everton.

10 AI models read this match. The plurality on 1X2 leans toward Everton (9 of 10 models). The mean predicted score (rounded from all models) is 1–2 at 57% 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.

Hull City win 0%

0 / 10 models

Draw 10%

1 / 10 models

Everton win 90%

9 / 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
Everton win
0–1
62%
Everton's stronger squad and recent head-to-head success suggest a narrow away win despite Hull's home advantage.
02
Claude Sonnet 5
Everton win
1–2
55%
Everton's Premier League quality and squad depth should edge a newly-promoted Hull side at home, though tight venue factor keeps it close.
03
Gemini 3.8 Flash
Everton win
1–2
55%
Everton possess slightly more Premier League pedigree and quality. While Hull have home advantage, Everton's experience in tight fixtures should see them edge a competitive game.
04
Grok 4.6
Everton win
1–2
47%
Everton hold clear Premier League experience edge over likely promoted Hull; narrow away win fits MKM Stadium matchup.
05
DeepSeek V4 Pro
Everton win
1–2
58%
Everton’s historical edge and stronger squad likely prevail despite Hull’s home advantage.
06
Qwen 3.8 Max
Everton win
0–1
62%
Everton's strong away form and recent history of narrow wins over Hull City support a 0-1 away victory.
07
Mistral Medium 3.5
Everton win
1–2
62%
Everton’s superior squad depth and recent away form suggest a narrow win; Hull’s home advantage offset by defensive frailties.
08
Llama 3.1 70B Instruct
Everton win
1–2
62%
Everton's stronger historical edge and slightly better squad depth give them a narrow win on the road.
09
Cohere Command R+ (08-2024)
Everton win
1–2
55%
Everton's strong recent form and superior quality should give them the edge, but Hull City's home advantage and defensive resilience will make it close.
10
MiMo V2.5 Pro
Draw
1–1
55%
H2H at Hull includes draws and both teams scoring; home advantage balanced by Everton's historical strength, leading to a likely low-scoring draw.
— Scoreline frequency

How often each scoreline showed up.

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

  • 1–2
    7 models
  • 0–1
    2 models
  • 1–1
    1 model

Match overview

Looking for a today prediction on Hull City vs Everton in Premier League? 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 Everton win, with vote shares roughly 0% / 10% / 90% home, draw, and away (rounded).

If you are asking who will win Hull City vs Everton, 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 Everton

90% of models lean away — the clearest cluster on this fixture before kickoff.

02
Medium confidence

Mean 57% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
xG tilt 0.80 vs 1.70

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.

Confidence trend

Cumulative average confidence in table order.

First model Last model
— Match context

Form, history, team news.

Hull City
Last 5
0 GF · 0 GA
Recent fixtures
  • No recent fixtures in the current window.
Team news

No major injury updates in the current API snapshot.

Everton
Last 5
0 GF · 0 GA
Recent fixtures
  • No recent fixtures in the current window.
Team news

No major injury updates in the current API snapshot.

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 Hull City, treat that as the default script unless late team news breaks the assumptions.
  • Watch the draw lane at 10% — tight Premier League 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.

Hull City
~0%
implied lean
Draw
~10%
implied lean
Everton
~90%
implied lean

Over / under prediction (totals)

Model-derived xG sums to 2.50 goals in expectation. A notional totals line near 2.8 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 Hull City 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 2.50 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: Everton 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.

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— Journal

Articles linked to these clubs or AI forecasting.

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