ABH 0-2 AL- · 64% ALD 0-1 NEO · 49% KON 1-2 GAL · 54% LEH 0-2 PAR · 64% NIC 1-2 REN · 50% BOD 1-2 VIK · 46% LYN 1-1 RAN · 41% ALS 1-2 AL- · 56% SVE 1-2 FSV · 46% ZUL 0-2 CLU · 62% VIL 2-1 ESP · 56% SHE 2-1 WRE · 48% LIL 2-1 LEN · 50% CAS 0-2 SPO · 66% ABH 0-2 AL- · 64% ALD 0-1 NEO · 49% KON 1-2 GAL · 54% LEH 0-2 PAR · 64% NIC 1-2 REN · 50% BOD 1-2 VIK · 46% LYN 1-1 RAN · 41% ALS 1-2 AL- · 56% SVE 1-2 FSV · 46% ZUL 0-2 CLU · 62% VIL 2-1 ESP · 56% SHE 2-1 WRE · 48% LIL 2-1 LEN · 50% CAS 0-2 SPO · 66%
Bundesliga · Regular Season - 8 Oct 10, 2026 · 13:30 · UTC Home Deluxe Arena, Paderborn Match Finished · 90'

SC Paderborn 07
vs
VfB Stuttgart.

Quick answer

Who will win SC Paderborn 07 vs VfB Stuttgart?

Final score: SC Paderborn 07 0–2 VfB Stuttgart. Before kickoff, 11 of 12 AI models pick VfB Stuttgart to win (92%); the consensus was right. The AI predicted score was 1–2.

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

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

12 AI models read this match. The plurality on 1X2 leans toward VfB Stuttgart (11 of 12 models). The mean predicted score (rounded from all models) is 1–2 at 47% mean confidence (Medium band) — see the strip and table below.

Who do you think will win?

Vote before kick-off and compare with AI

Bundesliga table Where SC Paderborn 07 and VfB Stuttgart stand right now
— 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 / 12 models

Draw 8%

1 / 12 models

VfB Stuttgart win 92%

11 / 12 models

— Model breakdown

12 picks. Receipts attached.

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

#
Model
Pick
Score
Conf.
Reasoning
01
GPT-5.6 Luna
VfB Stuttgart win
1–2
63%
Stuttgart's recent head-to-head success and stronger squad depth give them the edge despite Paderborn's home advantage.
02
Claude Sonnet 5
VfB Stuttgart win
1–2
58%
Stuttgart's superior squad depth and Bundesliga pedigree should tell against a newly-promoted Paderborn side, though home venue keeps it competitive.
03
Gemini 3.8 Flash
VfB Stuttgart win
1–2
60%
Stuttgart generally boasts a stronger squad and higher tier pedigree than Paderborn. The 1-2 scoreline reflects Stuttgart's attacking quality overcoming a resilient home side.
04
Grok 4.6
VfB Stuttgart win
1–2
47%
Stuttgart's Bundesliga quality edges Paderborn at Home Deluxe Arena; recent H2H pattern supports narrow away win.
05
DeepSeek V4 Pro
VfB Stuttgart win
1–2
60%
VfB Stuttgart's recent H2H dominance and stronger squad suggest a narrow away win.
06
Qwen 3.8 Max
VfB Stuttgart win
1–2
62%
Stuttgart's recent form and historical advantage suggest a narrow away win, despite Paderborn's home support.
07
Mistral Medium 3.5
VfB Stuttgart win
1–2
62%
Stuttgart’s superior squad depth and recent H2H edge suggest a narrow away win; Paderborn’s home form is inconsistent.
08
Kimi K3
VfB Stuttgart win
0–2
58%
Stuttgart's superior Bundesliga quality and European pedigree should overwhelm newly-promoted Paderborn's defensive setup at Home Deluxe Arena.
09
GLM 5.3
VfB Stuttgart win
1–2
55%
Stuttgart are the established top-flight side facing a promoted-style Paderborn at Home Deluxe Arena; quality gap favors the away win, but Paderborn usually score at home.
10
MiMo V2.6 Pro
VfB Stuttgart win
1–2
55%
Stuttgart won recent away H2H matches 1-2; with thin current context, a narrow away win is supported by historical pattern and venue adjustment.
— Scoreline frequency

How often each scoreline showed up.

10 of 12 models settled on 1–2. That convergence is a strong scoreline signal—many fixtures fan out wider across the panel.

  • 1–2
    10 models
  • 0–2
    1 model
  • 1–1
    1 model

Season data

Bundesliga numbers for both sides, when they score and the players who carry them.

SC Paderborn 07

3-1-4-2
W-D-L
2-2-3
Goals
6-9
Clean sheets
2
Failed to score
4
Best win run
1
Penalties
0/0
When they score
15'30'45'60'75'90'
When they concede
15'30'45'60'75'90'

VfB Stuttgart

3-4-2-1
W-D-L
2-0-5
Goals
10-13
Clean sheets
1
Failed to score
2
Best win run
1
Penalties
0/0
When they score
15'30'45'60'75'90'
When they concede
15'30'45'60'75'90'

Key players · SC Paderborn 07

  • No player in the competition's top scorers or assisters.

Key players · VfB Stuttgart

  • E. Demirović 3 G · 0 A · 7 apps

Top scorers · Bundesliga

  1. 1 N. Füllkrug Werder Bremen 8
  2. 2 M. Olise Bayern München 6
  3. 3 P. Schick Bayer Leverkusen 6
  4. 4 Y. Ebnoutalib Eintracht Frankfurt 5
  5. 5 P. Tietz FSV Mainz 05 5
Venue Home Deluxe Arena, Paderborn
Referee Felix Zwayer
New at SC Paderborn 07 R. Philippe (Hamburger SV), M. Pieringer (1. FC Heidenheim), G. Vidović (Dinamo Zagreb)
New at VfB Stuttgart Jonathan Akaegbobi (Bochum II), D. Pejčinović (VfL Wolfsburg), L. Sauer (Feyenoord)
— Aggregated insights

What’s moving the panel.

01
Consensus favors VfB Stuttgart

92% of models lean away — the clearest cluster on this fixture before kickoff.

02
Medium confidence

Mean 47% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
xG tilt 0.90 vs 2.00

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 Actual
Corners 5.3 5.0 10.3 Under 10.5 55% 12 miss Ask AI
Yellow cards 1.5 1.7 3.1 Under 3.5 62% 1 hit Ask AI
Shots 15.9 13.2 29.1 Under 29.5 54% 42 miss Ask AI
Shots on target 5.5 6.3 11.8 Over 11.5 51% 14 hit Ask AI

Sample: 10 matches per side. Over the last 90 days the corners lean hit 55% of 249 graded matches, cards 58% of 250. Probabilities are Poisson estimates for information only.

Result check

Actual VfB Stuttgart win · AI VfB Stuttgart win

1X2: Miss Score: Off
— Match context

Form, history, team news.

SC Paderborn 07
#13 · 8 PTS · GD -3
Last 5
L W D L W
4 GF · 5 GA
Recent fixtures
  • VfB Stuttgart 0-1 L
  • Hamburger SV 1-0 W
  • Werder Bremen 2-2 D
  • VfB Stuttgart 0-2 L
  • DC United 0-1 W
Team news

No major injury updates in the current API snapshot.

VfB Stuttgart
#15 · 6 PTS · GD -3
Last 5
W L D L W
7 GF · 5 GA
Recent fixtures
  • SC Paderborn 07 0-1 W
  • Borussia Mönchengladbach 2-3 L
  • Atletico Madrid 1-1 D
  • Hamburger SV 1-0 L
  • Slovan Bratislava 0-3 W
Team news

No major injury updates in the current API snapshot.

— Head to head

Last five meetings.

SCP 0 · D 1 · VFB 3

SCP VS VFB
0-2
AWAY WIN
Oct 10, 2026
SCP VS VFB
1-2
AWAY WIN
Jan 31, 2023
SCP VS VFB
1-2
AWAY WIN
May 23, 2015
VFB VS SCP
0-0
DRAW
Dec 20, 2014

Confidence trend

Cumulative average confidence in table order.

First model Last model

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 8% — 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.

SC Paderborn 07
~0%
implied lean
Draw
~8%
implied lean
VfB Stuttgart
~92%
implied lean

Over / under prediction (totals)

Model-derived xG sums to 2.90 goals in expectation. A notional totals line near 3.2 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 2.90 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: VfB Stuttgart 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.

Match overview

Looking for a today prediction on SC Paderborn 07 vs VfB Stuttgart 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 (1 - 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 VfB Stuttgart win, with vote shares roughly 0% / 8% / 92% 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.