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%
Bundesliga · Week 4 Sep 10, 2026 · 17:00 Finished

Eisenach
vs
Bietigheim-Metterzimmern.

10 AI models read this match. The plurality on 1X2 leans toward Eisenach (9 of 10 models). The mean predicted score (rounded from all models) is 31–28 at 58% 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.

Eisenach win 90%

9 / 10 models

Draw 0%

0 / 10 models

Bietigheim-Metterzimmern win 10%

1 / 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
Eisenach win
31–28
58%
Eisenach have won the two most recent meetings, including a 34-26 result, and home court supports another narrow advantage. The recent head-to-head scores also point to a relatively open, high-scoring Bundesliga contest.
02
Claude Sonnet 5
Bietigheim-Metterzimmern win
28–30
52%
Recent H2H shows close, high-scoring contests with Bietigheim competitive or winning; slight edge to away side's attacking form.
03
Gemini 3.8 Flash
Eisenach win
31–27
62%
Eisenach have controlled recent head-to-head encounters with strong offensive outputs and hold home advantage in a typically high-scoring Bundesliga matchup.
04
Grok 4.6
Eisenach win
31–28
52%
Eisenach won the last two H2H meetings by five and eight goals; home edge in early Bundesliga week supports 31-28 rather than older home losses.
05
DeepSeek V4 Pro
Eisenach win
31–27
60%
Recent H2H favors Eisenach, winning last two 34-26 and 31-26; home court and consistent scoring around 31 while Bietigheim concedes 26-27 makes 31-27 plausible.
06
Qwen 3.8 Max
Eisenach win
31–27
62%
Eisenach won both recent H2H meetings convincingly (34-26, 31-26). Home advantage in Week 4 supports another comfortable margin, though Bietigheim can score freely.
07
Mistral Medium 3.5
Eisenach win
30–27
62%
Eisenach's recent H2H dominance (two straight wins) and home edge favor a narrow high-scoring win.
08
Kimi K3
Eisenach win
31–29
55%
Eisenach won the last two H2H meetings and holds home advantage in Week 4; Bietigheim-Metterzimmern's attack keeps it close, so a narrow two-goal home win fits the recent pattern.
09
GLM 5.3
Eisenach win
31–28
55%
Eisenach won the last two H2H meetings by 8 and 5 goals, suggesting a current edge; home venue supports a narrow win in a typically high-scoring Bundesliga clash.
10
MiMo V2.5 Pro
Eisenach win
32–29
58%
H2H shows high-scoring games with recent Eisenach away wins; home venue and attacking form suggest a narrow victory.
— Scoreline frequency

How often each scoreline showed up.

3 of 10 models settled on 31–28. The rest of the list shows where dissent still lives before kickoff.

  • 31–28
    3 models
  • 31–27
    3 models
  • 28–30
    1 model
  • 30–27
    1 model
  • 32–29
    1 model
  • 31–29
    1 model

Match overview

Looking for a today prediction on Eisenach vs Bietigheim-Metterzimmern in Bundesliga? 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 (31 - 28; 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 Eisenach win, with vote shares roughly 90% / 0% / 10% home, draw, and away (rounded).

If you are asking who will win Eisenach vs Bietigheim-Metterzimmern, 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 Eisenach

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

02
Medium confidence

Mean 58% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
xG tilt 30.70 vs 28.00

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.

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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