Austria Vienna vs SK Rapid prediction

Austrian Bundesliga
Austria ViennaAustria ViennaWDLLL
Sun, 1 Nov 20261/1116:00UK
SK RapidSK RapidWWWWW
26.7%Home winFair odds 3.75
24.6%DrawFair odds 4.07
48.8%Away winFair odds 2.05
Most likely published score1-111.4%Fair odds 8.74

MODELS TOP 3

Based on the Road2Sushi model. Not guaranteed outcomes.

Over 1.5 goalsBoth teams combined80.6%
Draw or SK Rapid73.4%
Under 3.5 goalsBoth teams combined64.8%

Prediction snapshot · Model generated .

Our verdict

Road2Sushi's own call on this match: the likeliest result, how confident the model is, its strongest signals and the reasons behind them.

Every percentage is a model estimate and every fair price is 1 divided by that estimate. Neither is a bookmaker offer, and a model call is not a proven edge over the market.

Model pick

SK Rapid
Match winner (1X2)48.8%
Fair odds2.05
Save model pickSaved to my bets

Top signals

Goals marketOver 1.5 goals
Model estimateModel80.6%
Fair oddsFair1.24
Double chance marketDraw or SK Rapid
Model estimateModel73.4%
Fair oddsFair1.36
Both teams to scoreBoth teams to score
Model estimateModel59.4%
Fair oddsFair1.68

Model read

SK Rapid lead the result estimates at 48.8%. The match still has meaningful room for a draw or an opponent win. Both teams to score stands out at 59.4Read full analysisShow less

SK Rapid lead the result estimates at 48.8%. The match still has meaningful room for a draw or an opponent win. Both teams to score stands out at 59.4%. The estimate leans this way, with substantial uncertainty remaining. Without a complete matching price comparison, this is an event read rather than a verified price opportunity. The overall match assessment has not cleared the model's betting filters; this market read does not override that decision.

Both teams to score

Model estimate
59.4%
Fair odds
1.68

Over 2.5 goals

Model estimate
57.6%
Matching market
61.2%
Difference
-3.6 pp
Fair odds
1.74
Recorded odds
1.57

Margin-adjusted comparison for this selection. The difference is in percentage points, not a proven return.

Context & limits

  • Austria Vienna: 1 wins, 1 draws and 3 losses in the last 5 recorded matches. Recent form is context, not an extra win probability.
  • SK Rapid: 5 wins, 0 draws and 0 losses in the last 5 recorded matches. Recent form is context, not an extra win probability.
  • The last 5 recorded meetings averaged 2.6 goals. This is a historical sample, not a forecast for this fixture.
  • A complete matching price comparison is unavailable for this selection, so a price edge cannot be established.
Additional match context

Our engine prices SK Rapid at 49% for 1 November 2026. Favourites, yes; certainties, no. Worth knowing: bookmakers rate SK Rapid higher (57%) than our model does. Totals sit close to the fence: 58% for Over 2.5 with both teams to score at 59%. The recent series reads 3 wins for Austria Vienna, 1 draws and 1 for SK Rapid over 5 games, 2.6 goals on average. Form guide over the last six: Austria Vienna W1 D1 L4, SK Rapid W5 D0 L1. The engine passes on this one (too extreme an outsider (fair 0.19)).

Form & head-to-head

Recent form uses each club’s available results in their stored order. Select a W/D/L result for details.

Head-to-head figures use their own recorded sample. Where individual results are available, the figures and journal cover the same meetings. Missing results are never counted as draws.

Austria ViennaAustriaLast 5
W
Win · 2-1
D
Draw · 2-2
L
Loss · 0-2
L
Loss · 2-3
L
Loss · 1-2

1 win · 1 draw · 3 losses

SK RapidSK RapidLast 5
W
Win · 3-0
W
Win · 3-0
W
Win · 2-0
W
Win · 3-1
W
Win · 5-1

5 wins · 0 draws · 0 losses

W Win
D Draw
L Loss

Head-to-head

Last 5 meetings

3Austria ViennaAustria wins
1Draws
1SK RapidSK Rapid wins
2.6Average goals
Date
Home team
Score
Away team
SK RapidSK Rapid
0 – 2
Austria ViennaAustria
Austria ViennaAustria
1 – 1
SK RapidSK Rapid
Austria ViennaAustria
2 – 0
SK RapidSK Rapid
SK RapidSK Rapid
1 – 3
Austria ViennaAustria
Austria ViennaAustria
1 – 2
SK RapidSK Rapid

Odds: model vs bookmaker

Every price for this match in one place: the model's probabilities next to the bookmaker's, the bookmaker's prices with our gap, and the model's own fair odds for each market.

Bookmaker probabilities are de-vigged (the margin is removed) and come from one bookmaker. A gap between the model and that bookmaker is a disagreement, not a proven edge. Fair odds are 1 divided by the model probability, not a bookmaker quote.

Model vs market

Model estimates and recorded bookmaker probabilities.

1X2, Goals and Corners: Bet365 prices via API-Football, observed 30 Oct 2026, 06:56 UTC, with the bookmaker margin taken out.

A market probability is the bookmaker's own price with its margin taken out, so the outcomes of each line add up to 100%. A gap from our model is a disagreement, not a proven edge: when we tested 1X2 and goal totals on matches the model had never seen, the bookmaker's closing price was more accurate. For corners, cards and shots we have no such test.

1X2

ModelProbability (%)
Outcome
MarketProbability (%)
Model probability: 26.7%
Austria Vienna

Model minus market: +7.3 pp
Market probability: 19.4%
Model probability: 24.6%
Draw

Model minus market: +0.7 pp
Market probability: 23.9%
Model probability: 48.8%
SK Rapid

Model minus market: -7.9 pp
Market probability: 56.7%

Goals

ModelProbability (%)
Outcome
MarketProbability (%)
Model probability: 94.5%
Over 0.5 goals

Model minus market: -1.6 pp
Market probability: 96.1%
Model probability: 5.6%
Under 0.5 goals

Model minus market: +1.6 pp
Market probability: 3.9%
Model probability: 80.6%
Over 1.5 goals

Model minus market: -2.2 pp
Market probability: 82.7%
Model probability: 19.4%
Under 1.5 goals

Model minus market: +2.2 pp
Market probability: 17.3%
Model probability: 57.6%
Over 2.5 goals

Model minus market: -3.0 pp
Market probability: 60.6%
Model probability: 42.4%
Under 2.5 goals

Model minus market: +3.0 pp
Market probability: 39.4%
Model probability: 35.2%
Over 3.5 goals

Model minus market: -3.2 pp
Market probability: 38.3%
Model probability: 64.8%
Under 3.5 goals

Model minus market: +3.2 pp
Market probability: 61.7%
Model probability: 18.4%
Over 4.5 goals

Model minus market: -3.1 pp
Market probability: 21.5%
Model probability: 81.6%
Under 4.5 goals

Model minus market: +3.1 pp
Market probability: 78.5%
Model probability: 8.3%
Over 5.5 goals

Model minus market: -1.6 pp
Market probability: 10.0%
Model probability: 91.7%
Under 5.5 goals

Model minus market: +1.6 pp
Market probability: 90.1%
Model probability: 59.4%
Both teams to score · Yes

Model minus market: -0.2 pp
Market probability: 59.6%
Model probability: 40.6%
Both teams to score · No

Model minus market: +0.2 pp
Market probability: 40.4%

Cards

No estimates available for this market.

Corners

No estimates available for this market.

Shots

No estimates available for this market.

Bookmaker odds

Real bookmaker price (APIF:Pinnacle:4) next to our model fair price. Bookmaker prices include the bookmaker margin, so our margin-free fair price usually looks longer. We do not claim to beat the closing market.

Gap is our probability minus the probability the bookmaker price implies (1 divided by the price), in percentage points. Because the price includes the margin, most gaps are negative. Model highlights are outcomes where our probability is at least 15 points higher. A gap is a disagreement, not a proven edge.

Match result · 1X2

Austria Vienna winBookmaker4.87Model fair3.75Model minus bookmaker probability, percentage points: +6.1 pp
DrawBookmaker3.92Model fair4.07Model minus bookmaker probability, percentage points: -0.9 pp
SK Rapid winBookmaker1.69Model fair2.05Model minus bookmaker probability, percentage points: -10.3 pp

Goals · 2.5

Over 2.5 goalsBookmaker1.57Model fair1.74Model minus bookmaker probability, percentage points: -6.1 pp
Under 2.5 goalsBookmaker2.42Model fair2.36Model minus bookmaker probability, percentage points: +1.1 pp

Model fair odds

Our published model probability as a decimal price (1 divided by probability). A fair model price, not a bookmaker quote. Only the supported 1X2 calibration pool is calibrated; other markets retain their model estimates.

Match result

Austria Vienna win3.75
Draw4.07
SK Rapid win2.05
Both teams to score1.68

Goals

Over 0.5 goals1.06
Over 1.5 goals1.24
Over 2.5 goals1.74
Over 3.5 goals2.84
Austria Vienna most3.75
SK Rapid most2.05

Totals line guide

Both teams combined.

Over 0.594.5%Over 1.580.6%Over 2.557.6%Over 3.535.2%Over 4.518.4%Over 5.58.3%
Recommended focusOver 1.580.6%

Discipline: Fairly priced. Too extreme an outsider (fair 0.19).

Read context

Both teams combined. Each bar uses the stored model estimate for that exact total-goals line. Missing estimates are unavailable; they are not zero.

Fair odds are the model’s own probability price, not a published bookmaker offer.

Market explorer

Model probabilities and fair odds.

Each bar is a specific Over selection for both teams combined. Its height is the model probability, on the same 0–100% scale.

Risk describes estimated likelihood, not profitability: low risk at least 62%, medium 48% to under 62%, high below 48%. Colors follow the actual estimate, even when a risk band is missing.

Up to four markets are selected from available model data, prioritising a spread of risk profiles. Fair odds are calculated from the model, not bookmaker prices: 1 divided by probability.

Scores are exact home-away outcomes from zero to five goals per team. Unavailable estimates stay blank; partial inputs are not expanded, inferred or normalised. Scores outside the matrix remain eligible for the top three.

Low riskMedium riskHigh risk

Goals

Over 1.51.5 goals, Low risk
Model probability 80.6%
Fair odds Fair 1.24
Over 2.52.5 goals, Medium risk
Model probability 57.6%
Fair odds Fair 1.74
Over 3.53.5 goals, High risk
Model probability 35.2%
Fair odds Fair 2.84
Correct score probabilitiesModel probability / Fair odds
Goal axes Home goals
Away goals 0 1 2 3 4 5
Away goals 0 0-05.6%Fair odds 18.02 1-05.7%Fair odds 17.61 2-03.9%Fair odds 25.84 3-01.6%Fair odds 62.11 4-00.5%Fair odds 200.00 5-00.1%Fair odds 833.33
Away goals 1 0-18.2%Fair odds 12.17 1-111.4%Fair odds 8.74 2-16.8%Fair odds 14.75 3-12.8%Fair odds 35.59 4-10.9%Fair odds 114.94 5-10.2%Fair odds 454.55
Away goals 2 0-27.7%Fair odds 13.04 1-29.5%Fair odds 10.48 2-25.9%Fair odds 16.84 3-22.5%Fair odds 40.65 4-20.8%Fair odds 129.87 5-20.2%Fair odds 526.32
Away goals 3 0-34.5%Fair odds 22.32 1-35.6%Fair odds 17.95 2-33.5%Fair odds 28.90 3-31.4%Fair odds 69.44 4-30.4%Fair odds 222.22 5-30.1%Fair odds 909.09
Away goals 4 0-42.0%Fair odds 51.02 1-42.4%Fair odds 40.98 2-41.5%Fair odds 65.79 3-40.6%Fair odds 158.73 4-40.2%Fair odds 500.00 5-40.1%Fair odds 2,000.00
Away goals 5 0-50.7%Fair odds 144.93 1-50.9%Fair odds 117.65 2-50.5%Fair odds 188.68 3-50.2%Fair odds 454.55 4-50.1%Fair odds 1,428.57 5-50.0%Fair odds 5,000.00

Model’s 3 most likely score outcomes

Model probability · Fair odds

1-1
Model probability11.4%
Fair odds8.74
1-2
Model probability9.5%
Fair odds10.48
0-1
Model probability8.2%
Fair odds12.17

Referee

One match referee is shown from an explicitly saved result or a fresh, identity-matched provider fixture. Previous referees are never used to guess an appointment. An API listing can change.

The referee’s totals count every completed match with this referee in our data: football-data.co.uk names the referee in English leagues, and API-Football names the referee of the same match (same teams, date and score) in every league from 2025/26. A rate needs at least 5 matches with that figure.

The team table shows each team’s published history with that same referee only. Matches, team cards per game and match cards per game are separate fields; their available samples can differ. Missing values are not zero. Cards include yellow and red cards in the current historical source.

Stefan Ebner

Assigned per API-Football, seen 31 Oct 2026, 07:22 UTC. An assignment can change before kickoff.

No completed matches with this referee in our data yet.

Team history with this referee
Team
Austria Vienna Not available Not available Not available
SK Rapid Not available Not available Not available

No matching history for this referee is available for one or both teams.

Season stats

2026/27 season. Recorded results, not model estimates.

Austria ViennaAustria Vienna
SK RapidSK Rapid

Overview

Statistic
Austria Vienna
SK Rapid
League position
#11 of 12
#1 of 12
Matches played
10
9
Record W-D-L
2-1-7
8-0-1
Recent form
WDLLL
Last 5 matches
WWWWW
Last 5 matches
Current streak
L3
W4
Points per game
0.70
2.67
Record, home vs away
1-0-3
3-0-1
PPG, home vs away
0.75
2.25

PPG scale: 0–3 points per game. Each team uses the same scale independently.

Show all season statsHide season stats

Goals

Statistic
Austria Vienna
SK Rapid
Goals scored per game
1.00
2.89
Goals conceded per game
2.00
0.89
Scored, home vs away
0.50
2.00
Conceded, home vs away
1.50
1.50
1st half goals per game
0.40
1.56
2nd half goals per game
0.60
1.33

Scale: 0–3 goals or expected goals (xG) per game. Each team uses the same scale independently.

Shooting

Statistic
Austria Vienna
SK Rapid
Shots per game
10.7
15.1
Shots faced per game
12.8
12.1
Shots on target per game
3.0
6.1
1st half shots per game
4.1
7.3
2nd half shots per game
6.6
7.8

Scale: 0–20 shots per game. Each team uses the same scale independently.

Corners & discipline

Statistic
Austria Vienna
SK Rapid
Corners won per game
5.3
5.1
Fouls per game
8.6
8.0

0–10 corners per game; 0–20 fouls per game Each team uses the same scale independently.

Goal rates

Statistic
Austria Vienna
SK Rapid
Over 2.5 rate
60.0%
77.8%
BTTS rate
50.0%
44.4%
Clean sheets
10.0%
55.6%

Scale: 0–100% of recorded matches, not model estimates. Each team uses the same scale independently.

League averages this season: 3.16 goals per match · Over 2.5 in 65.5% · BTTS in 52.7%. Full league tables & stats →

First half / second half

Averages per game in this season’s league matches, split at half-time. Games is the number of each team’s matches with verified half data for that row; below five matches the row stays blank, and a missing value is never a zero.

Corners, shots on target and yellow cards per half come from the data provider’s half-by-half match statistics and are only used when the two halves add up to the full-time count. Cards are split by the minute they were shown, and first-half stoppage time counts as the first half. These are recorded results, not predictions.

In the Premier League, La Liga, Bundesliga, Serie A and Ligue 1 the shots per half come from a different source than the match shot totals, so the two can differ slightly.

Austria ViennaAustria Vienna
Austria Vienna: season average per game by half
Per game 1H 2H Games
Goals scoredScored 0.40 0.60 10
Goals concededConceded 0.80 1.20 10
Shots 4.1 6.6 10
Shots facedOpp. shots 5.4 7.4 10
Shots on targetOn target 1.0 2.0 9
Shots on target facedOpp. on target 2.3 2.8 9
Corners wonCorners 1.9 3.4 9
Corners concededOpp. corners 2.8 2.2 9
Yellow cardsYellows 0.1 1.3 9
Opponent yellow cardsOpp. yellows 0.8 1.3 9
SK RapidSK Rapid
SK Rapid: season average per game by half
Per game 1H 2H Games
Goals scoredScored 1.56 1.33 9
Goals concededConceded 0.44 0.44 9
Shots 7.3 7.8 9
Shots facedOpp. shots 4.7 7.4 9
Shots on targetOn target 2.9 3.2 9
Shots on target facedOpp. on target 1.7 2.3 9
Corners wonCorners 2.1 3.0 9
Corners concededOpp. corners 1.6 1.8 9
Yellow cardsYellows 0.4 1.1 9
Opponent yellow cardsOpp. yellows 0.8 1.2 9
All model outcomes · full market spectrum & player markets

Shots

Shots on target

Cards

Clean sheet & win to nil

Worked out from the scoreline grid above: a clean sheet is every scoreline where the other side fails to score. It is the model’s own percentage, scored against the result afterwards, and it is not a tip.

Austria Vienna clean sheet 17.3%
SK Rapid clean sheet 28.6%
Austria Vienna win to nil 11.8%
SK Rapid win to nil 23.0%

Full market spectrum · model probabilities

The model’s own percentages, with no odds attached. The smaller markets are here so you can see everything we hold a number on, not because we claim an advantage in them. The colour says how close our percentages have landed to reality on matches the model had never seen. This is the raw model spectrum. Its match-result marginal can differ from the published 1X2 above; it does not replace the saved prediction.

Match result & goals calibrated
1×2
home 26.7% draw 24.6% away 48.8%
double_chance
1X 51.2% 12 75.4% X2 73.3%
dnb
home 35.4% away 64.6%
btts
yes 59.4% no 40.6%
clean_sheet
home 17.4% away 28.8%
win_to_nil
home 11.8% away 23.3%
winning_margin
home_by_1 15.4% home_by_2 7.6% home_by_3plus 3.7%
away_by_1 21.9% away_by_2 15.0% away_by_3plus 11.8%
correct_score
0-0 5.6% 0-1 8.2% 0-2 7.7%
0-3 4.5% 0-4 2.0% 0-5 0.7%
1-0 5.7% 1-1 11.4% 1-2 9.5%
1-3 5.6% 1-4 2.4% 1-5 0.9%
2-0 3.9% 2-1 6.8% 2-2 5.9%
2-3 3.5% 2-4 1.5% 2-5 0.5%
3-0 1.6% 3-1 2.8% 3-2 2.5%
3-3 1.4% 3-4 0.6% 3-5 0.2%
4-0 0.5% 4-1 0.9% 4-2 0.8%
4-3 0.4% 4-4 0.2% 4-5 0.1%
5-0 0.1% 5-1 0.2% 5-2 0.2%
5-3 0.1% 5-4 0.1% 5-5 0.0%
other 1.1%
likeliest_score
h 100.0% a 100.0% p 11.4%
Goals: totals / handicap / exact calibrated
total
over_0.5 94.5% under_0.5 5.6% over_1.5 80.6%
under_1.5 19.4% over_2.5 57.6% under_2.5 42.4%
over_3.5 35.2% under_3.5 64.8% over_4.5 18.4%
under_4.5 81.6% over_5.5 8.3% under_5.5 91.7%
odd_even
odd 48.8% even 51.2%
team_home
over_0.5 71.2% under_0.5 28.8% over_1.5 35.3%
under_1.5 64.7% over_2.5 13.0% under_2.5 87.0%
team_away
over_0.5 82.6% under_0.5 17.4% over_1.5 52.2%
under_1.5 47.8% over_2.5 25.6% under_2.5 74.4%
most
home 26.7% draw 24.6% away 48.8%
handicap
home_-2.5 3.7% away_+2.5 96.3% home_-1.5 11.2%
away_+1.5 88.8% home_-0.5 26.7% away_+0.5 73.3%
home_+0.5 51.2% away_-0.5 48.8% home_+1.5 73.2%
away_-1.5 26.8% home_+2.5 88.2% away_-2.5 11.8%
total_exact
exact_0 5.6% exact_1 13.9% exact_2 23.0%
exact_3 22.4% exact_4 16.8% exact_5 10.1%
exact_6 5.0% exact_7plus 3.3%
Method, limits & performance

How this works (honestly)

We are transparent about our method, our limits and how we measure performance.

What we use

Results, odds & closing prices, xG, shots, lineups, referee and schedule load.

Our method

Dixon-Coles + an xG strength model + champion/challenger selection + probability calibration + a trust gate.

What we don’t do

We do not beat the sharp market. The value is honest probabilities, No-bet calls and CLV.

Performance snapshot

Top-pick hit rate 47.8% (reliability, not edge). Calibration error 0.0106 (56049 matches).

Not financial advice. No model beats the sharp closing market on public data. The value here is honest probabilities, No-bet calls, and CLV history.

Explore this match