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%
Liiga Sep 9, 2026 · 15:30 Finished

Assat
vs
Jokerit.

10 AI models read this game. The plurality on the winner leans toward Assat (10 of 10 models). The mean predicted score (rounded from all models) is 3–2 at 55% mean confidence (Low 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.

Assat win 100%

10 / 10 models

Jokerit win 0%

0 / 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
Assat win
3–2
53%
Assat get the home-ice edge, while recent meetings slightly favor them overall; the limited current-form data supports a cautious, close game rather than a decisive margin.
02
Claude Sonnet 5
Assat win
3–2
54%
Close historical series with tight recent meeting; slight home-ice edge for Assat in a season-opening matchup with limited current form data.
03
Gemini 3.8 Flash
Assat win
3–2
58%
Assat hold home ice advantage in Pori where their tight defensive structure typically controls tempo against Jokerit in close-checking encounters.
04
Grok 4.6
Assat win
3–2
53%
Thin 2026 form; Assat Pori home ice and mixed H2H including a 4-1 home win support a one-goal home edge at typical Liiga pace.
05
DeepSeek V4 Pro
Assat win
3–2
55%
Assat’s home-ice edge and a prior 4-1 home win over Jokerit point to a narrow victory, though Jokerit should stay competitive.
06
Qwen 3.8 Max
Assat win
3–2
52%
Assat won the most recent meaningful H2H 4-1 at home; Jokerit's return to Liiga adds uncertainty, but home ice and historical edge favor Assat narrowly.
07
Mistral Medium 3.5
Assat win
3–2
58%
Home ice and Assat's 2023 4-1 win give slight edge.
08
Kimi K3
Assat win
3–2
55%
Assat have won three of the last four H2H meetings and hold home ice in Pori; Jokerit remain competitive, so expect a tight, moderate-scoring game decided by one goal.
09
GLM 5.3
Assat win
3–2
55%
Assat won three of the last four H2H meetings and hold home ice in Pori; Jokerit's return to Liiga adds uncertainty, so a modest home edge at moderate confidence.
10
MiMo V2.5 Pro
Assat win
3–2
55%
Assat's home venue in Liiga and recent H2H wins at home suggest a narrow edge; Jokerit's current form unknown, leading to moderate confidence.
— Scoreline frequency

How often each scoreline showed up.

10 of 10 models settled on 3–2. That convergence is a strong scoreline signal—many fixtures fan out wider across the panel.

  • 3–2
    10 models

Match overview

Looking for a today prediction on Assat vs Jokerit in Liiga? 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 (3 - 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 Assat win, with vote shares roughly 100% / 0% home and away (rounded).

If you are asking who will win Assat vs Jokerit, 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 Assat

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

02
Low confidence

Mean 55% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
xG tilt 3.00 vs 2.00

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.

Confidence trend

Cumulative average confidence in table order.

First model Last model

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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