AL- 2-0 ALK · 62% BOU 2-1 ACM · 50% BEş 2-1 CRY · 56% CEL 0-2 RED · 59% CEL 2-1 CEL · 44% 189 1-2 LYO · 53% JAG 1-2 AND · 47% LIL 0-1 REA · 53% OLY 2-1 SPA · 55% OMO 1-2 BEN · 59% PLZ 1-0 LEV · 53% AAR 1-0 EGN · 52% AJA 2-1 ATA · 50% BOR 2-1 KUP · 55% AL- 2-0 ALK · 62% BOU 2-1 ACM · 50% BEş 2-1 CRY · 56% CEL 0-2 RED · 59% CEL 2-1 CEL · 44% 189 1-2 LYO · 53% JAG 1-2 AND · 47% LIL 0-1 REA · 53% OLY 2-1 SPA · 55% OMO 1-2 BEN · 59% PLZ 1-0 LEV · 53% AAR 1-0 EGN · 52% AJA 2-1 ATA · 50% BOR 2-1 KUP · 55%
DFB Pokal · Round of 32 Oct 28, 2026 · 17:00 · UTC Home Deluxe Arena, Paderborn Not Started

SC Paderborn 07
vs
VfB Stuttgart.

Quick answer

Who will win SC Paderborn 07 vs VfB Stuttgart?

1 of 1 AI models pick SC Paderborn 07 to win (0%).

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

Head-to-head history → SC Paderborn 07 form VfB Stuttgart form

1 AI models read this match. The plurality on 1X2 leans toward SC Paderborn 07 (0 of 1 models). The mean predicted score (rounded from all models) is — at 0% 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.

SC Paderborn 07 win 0%

0 / 1 models

Draw 0%

0 / 1 models

VfB Stuttgart win 0%

0 / 1 models

— Model breakdown

0 picks. Receipts attached.

Line-by-line comparison of each system’s call.

#
Model
Pick
Score
Conf.
Reasoning
— Scoreline frequency

How often each scoreline showed up.

Once models publish picks, we rank every predicted scoreline by how many systems chose it—useful for seeing whether the panel clusters or spreads.

  • No score frequency yet.
Team news

Predicted lineups: SC Paderborn 07 vs VfB Stuttgart

Each side's last starting XI, with players ruled out of this match marked. The confirmed lineups replace this about an hour before kickoff.

SC Paderborn 07

3-1-4-2 · XI v Werder Bremen, 17 Oct
Ralf Kettemann
27 S. Tigges
27 Tigges
30 S. Marino
30 Marino
23 R. Obermair
23 Obermair
40 G. Vidovic
40 Vidovic
28 L. Ulrich
28 Ulrich
17 L. Curda
17 Curda
5 S. Castaneda
5 Castaneda
22 M. Hansen
22 Hansen
25 T. Scheller
25 Scheller
21 J. ter Horst
21 Horst
15 N. Noll
15 Noll

VfB Stuttgart

3-4-2-1 · XI v Atletico Madrid, 20 Oct
S. Hoeneb
26 D. Undav
26 Undav
11 B. El Khannouss
11 Khannouss
18 J. Leweling
18 Leweling
10 C. Führich
10 Führich
6 A. Stiller
6 Stiller
21 G. Prömel
21 Prömel
4 J. Vagnoman
4 Vagnoman
7 M. Mittelstädt
7 Mittelstädt
3 R. Hendriks
3 Hendriks
24 J. Chabot
24 Chabot
41 D. Seimen
41 Seimen
— Aggregated insights

What’s moving the panel.

01
Consensus favors SC Paderborn 07

0% of models lean home — the clearest cluster on this fixture before kickoff.

02
Low confidence

Mean 0% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
xG tilt 0.00 vs 0.00

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.

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.

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 SC Paderborn 07 VfB Stuttgart Expected total Lean
Corners 5.6 5.7 11.3 Under 11.5 54% Ask AI
Yellow cards 1.0 1.5 2.5 Under 2.5 54% Ask AI
Shots 16.6 14.7 31.3 Under 31.5 53% Ask AI
Shots on target 5.4 6.1 11.5 Under 11.5 52% Ask AI

Sample: 10 matches per side. Over the last 90 days the corners lean hit 56% of 122 graded matches, cards 55% of 122. Probabilities are Poisson estimates for information only.

— Match context

Form, history, team news.

SC Paderborn 07
—
Last 5
D L W W L
6 GF · 8 GA
Recent fixtures
  • Werder Bremen 2-2 D
  • VfB Stuttgart 0-2 L
  • DC United 0-1 W
  • 1899 Hoffenheim 3-1 W
  • Borussia Dortmund 3-0 L
Team news
N. Awortwie-Grant — Knee Injury L. Eickel — Back Injury T. Gayret — Knee Injury S. Michel — Muscle Injury F. Gotze — Concussion S. Klaas — Muscle Injury M. Hoffmeier — Muscle Injury
VfB Stuttgart
—
Last 5
D L W W W
11 GF · 2 GA
Recent fixtures
  • Atletico Madrid 1-1 D
  • Hamburger SV 1-0 L
  • Slovan Bratislava 0-3 W
  • SC Paderborn 07 0-2 W
  • SpVgg Greuther Fürth 5-0 W
Team news
J. Arevalo — Back Injury L. Assignon — Shoulder Injury J. Diehl — Muscle Injury C. Fuhrich — Muscle Injury L. Jaquez — Muscle Injury N. Nartey — Injury L. Sauer — Muscle Injury D. Seimen — Thigh Injury D. Zagadou — Muscle Injury T. Tomas — Muscle Injury S. Drljaca — Off the roster L. Stergiou — Off the roster
— Head to head

Last five meetings.

SCP 0 · D 0 · VFB 1

SCP VS VFB
0-2
AWAY WIN
Oct 10, 2026

Confidence trend

Cumulative average confidence in table order.

Not enough points to plot a trend.

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 SC Paderborn 07, treat that as the default script unless late team news breaks the assumptions.
  • Watch the draw lane at 0% — tight DFB Pokal 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.

SC Paderborn 07
~0%
implied lean
Draw
~0%
implied lean
VfB Stuttgart
~0%
implied lean

Over / under prediction (totals)

Model-derived xG sums to 0.01 goals in expectation. A notional totals line near 0.3 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 SC Paderborn 07 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 0.01 xG, a heuristic “both teams score” prior lands around 35% 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: . Pair that with the confidence band (Low) — 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.

Match overview

Looking for a today prediction on SC Paderborn 07 vs VfB Stuttgart in DFB Pokal? 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 (—; 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 , with vote shares roughly 0% / 0% / 0% home, draw, and away (rounded).

If you are asking who will win SC Paderborn 07 vs VfB Stuttgart, 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.

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.