JUV 1-1 ATA · 58% OFI 1-0 AST · 53% VIB 1-2 FCN · 52% SLA 2-1 PLZ · 59% DEP 1-1 REA · 58% VIL 2-1 LEV · 62% ALM 2-0 CEL · 59% LAS 1-0 BUR · 54% CLU 2-1 GEN · 57% KAL 0-2 PAN · 63% EST 1-1 CAS · 51% SAN 0-1 SCB · 57% AME 0-2 BEş · 61% GöZ 1-0 RIZ · 53% JUV 1-1 ATA · 58% OFI 1-0 AST · 53% VIB 1-2 FCN · 52% SLA 2-1 PLZ · 59% DEP 1-1 REA · 58% VIL 2-1 LEV · 62% ALM 2-0 CEL · 59% LAS 1-0 BUR · 54% CLU 2-1 GEN · 57% KAL 0-2 PAN · 63% EST 1-1 CAS · 51% SAN 0-1 SCB · 57% AME 0-2 BEş · 61% GöZ 1-0 RIZ · 53%
Bundesliga · Regular Season - 4 Oct 17, 2026 · 13:30 · UTC Weserstadion, Bremen Not Started

Werder Bremen
vs
SC Paderborn 07.

Quick answer

Who will win Werder Bremen vs SC Paderborn 07?

9 of 10 AI models pick Werder Bremen to win (90%). The mean predicted score is 2–1 at 60% average confidence (medium).

Consensus of independent AI models on TuringStats, updated before kickoff. Not betting advice.

Head-to-head history → Werder Bremen form SC Paderborn 07 form

10 AI models read this match. The plurality on 1X2 leans toward Werder Bremen (9 of 10 models). The mean predicted score (rounded from all models) is 2–1 at 60% mean confidence (Medium band) — see the strip and table below.

Who do you think will win?

Vote before kick-off and compare with AI

10 AI models · council in session Live match data · Pro

Still not sure? Ask 10 AIs at once:
“Will Werder Bremen beat SC Paderborn 07 in their upcoming match?”

Every model votes yes or no and defends it in a sentence or two. Attach this match's last-5 form, head-to-head and the picks above so they argue from real data — then keep asking the same council follow-ups.

Ask the Council Free today · sign in with Google to convene the council
— Consensus

Where the panel lands.

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

Werder Bremen win 90%

9 / 10 models

Draw 10%

1 / 10 models

SC Paderborn 07 win 0%

0 / 10 models

— 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
Draw
1–1
60%
Both teams have shown similar form; previous meetings suggest a balanced contest at Weserstadion.
02
Claude Sonnet 5
Werder Bremen win
2–1
58%
Werder Bremen have won the last H2H meeting and typically have stronger squad depth as an established Bundesliga side at home versus promoted Paderborn.
03
Gemini 3.8 Flash
Werder Bremen win
2–1
60%
Werder Bremen have historically enjoyed the upper hand against Paderborn, especially with home advantage at the Weserstadion. Paderborn can be dangerous on the counter, but Bremen's superior quality should edge a competitive fixture.
04
Grok 4.6
Werder Bremen win
1–0
48%
Weserstadion home edge plus recent 0-1 H2H win favor a narrow, low-scoring Werder victory over Paderborn.
05
DeepSeek V4 Pro
Werder Bremen win
2–1
62%
Home advantage and slightly stronger recent form favor Werder Bremen; tight contest expected.
06
Qwen 3.8 Max
Werder Bremen win
2–1
62%
Werder Bremen's strong home form and recent history suggest a narrow win, with Paderborn capable of scoring.
07
Mistral Medium 3.5
Werder Bremen win
2–1
62%
Werder Bremen’s home advantage and recent H2H edge suggest a narrow win; Paderborn’s resilience keeps it close.
08
Llama 3.1 70B Instruct
Werder Bremen win
2–1
62%
Werder Bremen's recent form and home advantage at Weserstadion give them a slight edge, with a moderate-scoring game expected.
09
Cohere Command R+ (08-2024)
Werder Bremen win
2–1
64%
Werder Bremen's home advantage and their recent solid defense should be enough to edge out a victory against a Paderborn side that has struggled on the road.
10
MiMo V2.5 Pro
Werder Bremen win
2–1
60%
Werder Bremen's home advantage and recent H2H win suggest a narrow victory; past meetings often have goals, supporting a 2-1 scoreline.
— Scoreline frequency

How often each scoreline showed up.

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

  • 2–1
    8 models
  • 1–1
    1 model
  • 1–0
    1 model

Match overview

Looking for a today prediction on Werder Bremen vs SC Paderborn 07 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 (2 - 1; 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 Werder Bremen win, with vote shares roughly 90% / 10% / 0% home, draw, and away (rounded).

If you are asking who will win Werder Bremen vs SC Paderborn 07, 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 Werder Bremen

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

02
Medium confidence

Mean 60% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
xG tilt 1.80 vs 0.90

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.

Match stats forecast

Corners, cards and shots from each side's last 10 matches at this venue, blended with the league average. Pure statistics, not an AI vote.

No AI
Metric Werder Bremen SC Paderborn 07 Expected total Lean
Corners 5.0 4.3 9.3 Under 9.5 54% Ask AI
Yellow cards 1.7 2.5 4.2 Under 4.5 59% Ask AI
Shots 15.1 12.8 27.9 Over 27.5 52% Ask AI
Shots on target 4.7 5.0 9.7 Over 9.5 51% Ask AI

Sample: 10 matches per side. Probabilities are Poisson estimates for information only.

Ask the Council about this match

Pro

10 AI models vote yes or no with this match's last-5 form, head-to-head, live status and the model picks above attached — not from memory. Then keep asking the same council follow-ups.

Confidence trend

Cumulative average confidence in table order.

First model Last model
— Match context

Form, history, team news.

Werder Bremen
Last 5
W D W L L
8 GF · 10 GA
Recent fixtures
  • FC Augsburg 3-2 W
  • 1. FC Köln 1-1 D
  • RB Leipzig 3-1 W
  • SC Freiburg 4-1 L
  • Borussia Dortmund 0-2 L
Team news

No major injury updates in the current API snapshot.

SC Paderborn 07
Last 5
L L D W D
2 GF · 5 GA
Recent fixtures
  • Borussia Dortmund 3-0 L
  • SC Freiburg 0-1 L
  • FSV Mainz 05 0-0 D
  • VfL Wolfsburg 2-1 W
  • VfL Wolfsburg 0-0 D
Team news

No major injury updates in the current API snapshot.

— Head to head

Last five meetings.

WER 2 · D 0 · SCP 2

SCP VS WER
3-4
AWAY WIN
Jan 22, 2022
WER VS SCP
1-4
AWAY WIN
Aug 15, 2021
SCP VS WER
1-5
AWAY WIN
Jun 13, 2020
WER VS SCP
0-1
AWAY WIN
Dec 8, 2019

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 90% of models side with Werder Bremen, treat that as the default script unless late team news breaks the assumptions.
  • Watch the draw lane at 10% — tight Bundesliga 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.

Werder Bremen
~90%
implied lean
Draw
~10%
implied lean
SC Paderborn 07
~0%
implied lean

Over / under prediction (totals)

Model-derived xG sums to 2.70 goals in expectation. A notional totals line near 3 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 Werder Bremen 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 2.70 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: Werder Bremen 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.

Ask multiple AIs about this match.

10 models vote yes or no with this match's last-5 form, head-to-head, live status and our model picks attached — not from memory. Then ask follow-ups to the same council.