All matches

Liefering — Sturm Graz II, 2. Liga

Austria, 2. Liga

Liefering
LLWWD
—
Sturm Graz II
DDWLL
Team strength by Elo, 0 to 5What this means

Strength is the team’s Elo rating rescaled to 0–5 across all matches in the competition: it rises after wins over strong opponents and falls after losses to weak ones. The bar colour is the tier: red — weak, amber — below average, green — solid, blue — the strongest. The letters under the bar are the last five matches: W — win, D — draw, L — loss.

Outcome probability
44%23%34%
LieferingMarket 2.1044%DrawMarket 4.0023%Sturm Graz IIMarket 2.8334%

Model vs market

Our probability against the one implied by the bookmaker price. The Δ column is the gap in percentage points.

OutcomeModelMarketΔ
1Liefering44%48%2.282.10-3.8
XDraw23%25%4.434.00-2.4
2Sturm Graz II34%35%2.982.83-1.8

our modelmarket — implied by the bookmaker price

Quick markets

The three most common questions — our probability next to the bookmaker line.

Both teams to score

Yes67%

ours 1.50book 1.30

No33%

ours 2.99book 3.21

Over 2.5 goals

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Over 9.5 corners

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Combos

Three kinds of combos — the most likely combination in each. The most likely of the three is highlighted. Every combination is in the tables below.

Combos come with a subscription: result and total, result and corners, both teams to score and total — probability, fair odds and the market comparison.

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Confident answers

The line the model is most sure about — and how often such answers have come in.

Goals

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70%of such answers on goals came inlast 60 days · 890 matches

Corners

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69%of such answers on corners came inlast 60 days · 889 matches

Cards

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69%of such answers on cards came inlast 60 days · 886 matches

This is a probability, not a guarantee: roughly 3 answers in 10 don’t come in. Bookmaker odds on these lines are low — this block shows the model’s accuracy, not the value of a bet.

Why the model reads the match this way

Short answers to the key questions of the match. Tap a question to see the numbers by team and half.

LieferingSturm Graz II

FC Liefering 44%, SK Sturm Graz II 34%. The safest is “No draw” at 77%.

FC Liefering 44%Draw 23%SK Sturm Graz II 34%
1st half
43 · 32 · 25
2nd half
30 · 35 · 35

Bookmakers: 2.10 · 4.00 · 2.83

Both teams to score?
How many goals?
How many corners?
How many yellow cards?
How many shots?
How many fouls?
How many offsides?

The full analysis and both conclusions — with a subscription

More possible scenarios

Three options at different prices of risk.

Conservativehigh probability, modest price
Basebalance of probability and price

Both teams to score: Yes

67%1.30
High variancelow probability, high price

Two more scenarios — with a subscription

Average totals by team

A plain average for each side over its most recent matches — what the totals grow out of. A fact, not a model forecast.

MetricLieferingSturm Graz IICombined
Goals scored1.672.504.17
Conceded2.502.334.83
Corners11.37.79.5
Cards1.83.04.8
Offsides
Throw-ins
Fouls
xG
Shots
Shots on target

The other six metrics — with a subscription

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Average over the last 5 completed matches of each team. The combined column adds the two sides; only corners are averaged, because they already arrive as a match total.

Form and context

Liefering

  • awayFloridsdorfer AC0:4
  • homeSt. Polten1:3
  • awayVoitsberg3:2
  • homeAustria Wien II2:1
  • awayFirst Vienna2:2

Sturm Graz II

  • homeWacker Innsbruck2:2
  • awayAustria Salzburg3:3
  • homeRapid Wien II5:2
  • awaySchwarz-Weiss Bregenz1:3
  • homeAdmira Wacker0:2

Head to head

  • 03/10/262. Liga1:0
  • 08/15/252. Liga2:2
  • 03/14/252. Liga0:1
  • 08/30/242. Liga2:2

League table

Both teams and their nearest neighbours.

#TeamPWDLGoalsPts
6Wacker Innsbruck732210:811
7Austria Salzburg731314:1210
8Liefering731314:1510
9Schwarz-Weiss Bregenz731311:1210
10St. Polten73046:69
11Admira Wacker73047:89
12Voitsberg723210:129
13Sturm Graz II722315:188
14Rapid Wien II72057:176
15Wels71158:174

Full breakdown

Every market the model prices. Our probability on the left, fair odds and the bookmaker line on the right.

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Probabilities are a model estimate, not a guarantee.