All matches

Usti nad Labem — Viktoria Zizkov, FNL

Czech Republic, FNL

Usti nad Labem
WLDWW
—
Viktoria Zizkov
WWDLL
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
53%22%25%
Usti nad Labem53%Draw22%Viktoria Zizkov25%

Model vs market

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

OutcomeModelMarketΔ
1Usti nad Labem53%1.90—
XDraw22%4.46—
2Viktoria Zizkov25%4.03—

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

Yes60%

ours 1.68

No40%

ours 2.47

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.

Usti nad LabemViktoria Zizkov

FK Ústí nad Labem 53%, FK Viktoria Žižkov 25%. The safest is “No draw” at 78%.

FK Ústí nad Labem 53%Draw 22%FK Viktoria Žižkov 25%
1st half
40 · 35 · 25
2nd half
44 · 34 · 22
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
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.

MetricUsti nad LabemViktoria ZizkovCombined
Goals scored0.500.671.17
Conceded0.330.000.33
Corners10.511.511.0
Cards2.51.54.0
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

Usti nad Labem

  • awayBanik Ostrava U212:0
  • homeJihlava1:2
  • homeSlavia Praha U211:1
  • awayTaborsko1:0
  • homeFK Dukla Praha3:1

Viktoria Zizkov

  • homeTrinec3:0
  • awaySlavia Praha U211:0
  • homePribram1:1
  • awayKladno0:3
  • awayMFK Karviná0:3

Head to head

  • 04/24/26FNL3:0
  • 09/28/25FNL1:1

League table

Both teams and their nearest neighbours.

#TeamPWDLGoalsPts
1MFK Karviná960319:1218
2Usti nad Labem953115:818
3FK Dukla Praha952218:1317
4Jihlava951314:916
5Pribram935115:1414
6Slavia Praha U21934219:1513
7Taborsko934213:1213
8Vlasim933317:1412
9Banik Ostrava U21932415:1211
10Kladno924313:1410
11Opava924313:1510
12Viktoria Zizkov93158:1610
13Arsenal Ceska Lipa923410:169
14Prostejov915311:128

Full breakdown

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

Full breakdown, scenarios and analysis — with a subscription

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Probabilities are a model estimate, not a guarantee.