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PronoData
BundesligaAllemagne
Paderborn
0 - 2Final score
Stuttgart

Paderborn vs Stuttgart: AI analysis

Void

Analyses are for information only and do not guarantee any result.

AI probabilities

19 %PAD
20 %Draw
61 %VFB
PAD win19 %Fair odds 5.21
Draw20 %Fair odds 5.09
VFB win61 %Fair odds 1.63

Confidence level

5.5/ 10

Low score: the signals are contradictory or incomplete. The analysis is published for transparency, without any particular conviction.

Odds

Bookmaker odds compared with the model's fair odds
OutcomeBookmaker oddsFair oddsImplied prob.Model prob.Edge
1 · PAD5.105.2119,6 %19 %-3,1 %
X · Draw4.755.0921,1 %20 %-5,0 %
2 · VFB1.621.6361,7 %61 %-1,2 %

Fair odds = 1 / model probability. Edge = (bookmaker odds × model probability) − 1. A positive edge means the odds are higher than the model's estimate.

Odds movement · 2 · VFB

2026-10-092026-10-10

Bookmaker odds for outcome 2 over 2 readings: from 1.58 to 1.58.

Expected goals

The match in goals

Goal expectations fitted to the final probabilities (1X2 and over/under 2.5), then turned into markets that are consistent with one another. The fair price has no margin: any higher price is value.

Most likely correct scores

Each cell shows the probability of that score (rows PAD, columns VFB). Beyond 5 goals per team: 3.7%.

Most likely correct scores
PAD \ VFB012345
03.15.57.25.73.41.6
12.78.39.37.44.42.1
22.15.06.04.82.81.4
3·2.22.62.11.2·
4······
5······
Top scores1-29.3%1-18.3%1-37.4%0-27.2%2-26.0%

Expected goals

Expected total: 3.7 goals
Paderborn1.29
Stuttgart2.38

Derived markets

MarketProbabilityFair odds
Over 1.5 goals89%1.13
Over 2.5 goals71%1.41
Under 2.5 goals29%3.45
Over 3.5 goals50%2.00
Both teams to score66%1.51
PAD keep a clean sheet9.2%10.87
VFB keep a clean sheet28%3.64
PAD win by 2+ goals7.9%12.66
VFB win by 2+ goals40%2.49

Market consensus versus team model

The corrected consensus is our reference probability. The team model (goals and shots on target, time weighted) is a second opinion.

1 · PAD
Corrected consensus19%
Team model35%
X · Draw
Corrected consensus20%
Team model29%
2 · VFB
Corrected consensus61%
Team model36%

25-point gap on Stuttgart: the model is more cautious than the market. Across 4,806 tested matches, following the model against the market lost money. Read it as a lead for analysis, not as a bet.

Over / under 2.5 goals

MarketProbabilityFair oddsBest oddsValue
Over 2.5 goals71%1.411.37-2,8 %
Under 2.5 goals29%3.443.20-7,1 %

Shots on target per game

Paderborn
2.0 for4.8 against
Stuttgart
5.5 for6.0 against

Data

Match statistics

The data used by the model. Unavailable data is shown as such, never replaced by an estimate.

Recent form

Paderborn1W 1D 2L
Stuttgart1W 1D 3L

Key: W win, D draw, L loss. Last five matches, oldest to most recent.

Home / Away

Paderborn
1W 0D 1L at home
Stuttgart
0W 0D 2L away

Head-to-head

Data unavailable

Goals scored

Average per match.

Goals conceded

Average per match.

Expected goals (xG)

Data unavailable

Average xG per match.

Absentees

Data not available

AI analysis

What the model says

Prono Data probabilities: 19% for Paderborn, 20% for the draw, 61% for Stuttgart. They come from the bookmaker consensus with the margin removed and the favourite / longshot bias corrected: the best calibrated reference in our tests. Expected goals: 1.3 for Paderborn, 2.4 for Stuttgart. Most likely scores: 1-2 (9%), 1-1 (8%), 1-3 (7%). Over 2.5 goals at 71%, both teams to score at 66%. As a second opinion, our team model (goals and shots on target, time weighted) gives 35% / 29% / 36%. It differs from the market by 25 points on a Stuttgart win (more cautious). Historically, when the two disagree, the market is right more often: we show it as a signal worth digging into, not as a bet. Recent form: Paderborn D-L-L-W, 0.8 scored and 1.3 conceded per game, 2.0 shots on target; Stuttgart D-L-W-L-L, 1.5 scored and 2.3 conceded, 5.5 shots on target. No price beats the fair price by at least 2.5%: no tracked bet on this match. Most likely outcome: a Stuttgart win. Caution: at least one team has few observed matches, so the model's second opinion is fragile.

Scenarios

Possible scenarios

  1. 1

    Most likely scenario (61%): Stuttgart control the game and win, in an open match with goals at both ends.

  2. 2

    Draw scenario (20%): the two sides cancel each other out; an outcome not to dismiss.

  3. 3

    Upset scenario (19%): Paderborn capitalise on an early goal or a weak spell from Stuttgart.

Compute my stake for this bet

The calculator will be pre-filled with odds of 1.62 and the 61 % probability of outcome 2 · VFB. You set your bankroll and strategy.

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