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VfB Stuttgart v Viking FK — Prediction, Odds & Stats

Wednesday 9 September 2026 · EUR-Champions League · 2627

Champions League results-only Prediction generated

AI prediction

ai-blend v1.0 daily
VfB Stuttgart win
51.5%
model 51.9%
Draw
21.2%
model 21.2%
Viking FK win
27.3%
model 26.8%

Calibrated: the model's number corrected by how often calls at that confidence have landed, out of sample (372 settled matches in the thinnest band), then normalised. The smaller figure is the raw model output.

Top 5 scorelines

  1. 2-1 9.2%
  2. 1-1 8.9%
  3. 2-2 6.7%
  4. 1-2 6.4%
  5. 2-0 6.4%

Goals

Over 2.568.2% Under 2.531.8%
BTTS yes66.8% BTTS no33.2%
VfB Stuttgart 1+87.3% VfB Stuttgart 2+61.2%
Viking FK 1+76.4% Viking FK 2+42.4%

Expected goals 2.07 – 1.45. Every market above is read off one scoreline distribution.

Footing

AI confidence
63/100
Data quality
55/100
★ Best pick
2-5 goals
Multi goal · usually 68%
73.6% fair odds 1.36
moderate signal · 2590 settled matches behind the band
★ Most likely to land
Under 2.5 in 1st half
Over/Under 1HT
83.6% fair odds 1.20
moderate signal · 388 settled matches behind the band

Positive factors

  • At home VfB Stuttgart average 2.67 xG a match.

Risk factors

  • Data quality is 55/100, so this price rests on less than the model would like.
Why the model thinks this

The price

VfB Stuttgart have an estimated 51.5% win probability, against 27.3% for Viking FK and 21.2% for the draw. Expected goals from the ensemble are 2.07 for VfB Stuttgart and 1.45 for Viking FK.

Why VfB Stuttgart

At home VfB Stuttgart average 2.67 xG a match.

Why the draw is live

The draw sits at 21.2%. Draws run at 16% in this competition.

Why Viking FK can win

Viking FK carry the stronger rating, 1762 Elo against 1658. Form is good: 2.00 points a match from the last five. They have had 10 days' rest to VfB Stuttgart's 5.

Key players

VfB Stuttgart's leading contributors by expected goal involvements a match: Deniz Undav (0.64), Dzenan Pejcinovic (0.41), Ermedin Demirovic (0.40).

Availability

1 of VfB Stuttgart's top three contributors did not start their last match. 27% of VfB Stuttgart's last eleven are new to the club this window. No lineup on record for Viking FK, so availability is unknown.

The matchup, as far as the data reaches

VfB Stuttgart: 52% possession, 16.2 shots a match, 14.0 faced, 0.49 xG a match from set pieces. Viking FK: 53% possession, 15.6 shots a match, 19.2 faced, 0.30 xG a match from set pieces. VfB Stuttgart's shot volume meets a defence that concedes shots freely.

Inputs last refreshed: matches 2026-09-07 06:03 · team_stats 2026-09-07 06:05 · availability 2026-09-07 07:51 · prediction 2026-09-05 18:39 ·

VfB Stuttgart are the model's most likely outcome at 51.5%. The likeliest scoreline is 2-1 at 9.2%. Confidence 63/100, data quality 55/100. These are probabilities, not certainties: the less likely outcome happens as often as its number says.

Written from the numbers the model saw, not by a language model; nothing here is a statistic the snapshot does not hold. How predictions work.

Was this pick made in advance?
A model whose name ends -oos is out of sample: it was fitted only on matches played before this one, so its pick is a genuine forecast rather than hindsight. Anything without that suffix was fitted on all available data.

What the chances say

VfB Stuttgart have scored 25 from 23.3 expected and conceded 21 from 22.0 — both ends in line with the chances, so the recent record is a fair reflection.

WLWLDDWDLW last 10 scored 25 from 23.3 xG conceded 21 from 22.0 xG

Finishing swings far more than chance creation, so a gap this size usually narrows. Over ten matches it is suggestive, not settled — a genuinely elite finisher beats expected goals for years.

What the model said

ModelHome / Draw / Away Expected goalsLikeliest score O2.5BTTS
ai-blend 2.07–1.45 0% 0% 0%

A model whose name ends -oos was produced by the walk-forward backtest: it was fitted only on matches played before this one, so the pick is genuinely out of sample.

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What this page is for

One fixture in full. The model's probability for every market it prices, the prices stored against them, the teams expected to feature, and for a match already played, the shot map and the xG timeline.

How to read the shot map

Every shot is placed where it was taken and sized by its chance of being scored. A cluster of small marks from distance and a clean sheet is a side that was busy without ever threatening; two big marks and a defeat is a side that had the better of it and lost anyway. Both happen constantly, and both are invisible in the score.

How to read the xG timeline

The steps are chances as they arrived, so the shape shows who was on top and when. A flat line that jumps once near the end is a smash and grab.

Things to watch

The stored prediction is the one made before the match, kept deliberately so it can be judged afterwards. It is not re-fitted with hindsight.

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