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 8, 2026 · 15:30 Finished

Hameenlinna
vs
Ilves.

10 AI models read this game. The plurality on the winner leans toward Ilves (10 of 10 models). The mean predicted score (rounded from all models) is 2–3 at 61% 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.

Hameenlinna win 0%

0 / 10 models

Ilves win 100%

10 / 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
Ilves win
3–4
61%
Ilves won four of the five listed recent meetings, including an 8-3 victory in Hameenlinna. The early-season setting adds uncertainty, but Ilves appear likelier to edge a competitive, moderate-scoring game.
02
Claude Sonnet 5
Ilves win
2–3
55%
Ilves won 4 of last 5 meetings including a lopsided road win, suggesting a slight edge despite Hameenlinna's home venue advantage.
03
Gemini 3.8 Flash
Ilves win
2–4
64%
Ilves have dominated recent head-to-head encounters with superior offensive depth, consistently outscoring HPK both home and away.
04
Grok 4.6
Ilves win
2–3
58%
Ilves won four of five recent H2H, including 2-3 and 3-8 in Hameenlinna. Early-season Liiga form is thin, so a close away edge fits.
05
DeepSeek V4 Pro
Ilves win
2–4
62%
Recent head-to-head strongly favors Ilves, including an 8-3 away win in December; their offense has consistently broken down Hameenlinna's defense.
06
Qwen 3.8 Max
Ilves win
2–3
62%
Ilves won 4 of last 5 H2H meetings, including an 8-3 rout. Their recent dominance over Hameenlinna suggests continued edge despite venue disadvantage.
07
Mistral Medium 3.5
Ilves win
4–5
65%
Ilves won last 3 at Hameenlinna; recent H2H favors away.
08
Kimi K3
Ilves win
2–4
62%
Ilves won four of the last five meetings, including an 8-3 rout, showing a consistent edge over Hameenlinna; expect their attack to control this one again.
09
GLM 5.3
Ilves win
4–5
58%
Ilves won four of the last five H2H meetings, including an 8-3 rout in Hameenlinna, and their recent squads have outscored Hameenlinna; early-season form is thin, so confidence stays moderate.
10
MiMo V2.5 Pro
Ilves win
3–4
60%
Ilves won four of last five matchups, including recent away victories; H2H favors them with moderate scoring.
— Scoreline frequency

How often each scoreline showed up.

3 of 10 models settled on 2–3. The rest of the list shows where dissent still lives before kickoff.

  • 2–3
    3 models
  • 2–4
    3 models
  • 3–4
    2 models
  • 4–5
    2 models

Match overview

Looking for a today prediction on Hameenlinna vs Ilves 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 (2 - 3; 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 Ilves win, with vote shares roughly 0% / 100% home and away (rounded).

If you are asking who will win Hameenlinna vs Ilves, 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 Ilves

100% 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 2.60 vs 3.90

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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