xgEdge

Sunday, 11/10/2026 at 17:00

7d 15h to kick-off
Match preview · SuperLiga (Romania)

FK Csíkszereda Miercurea Ciuc – Universitatea Craiova

FK Csíkszereda Miercurea Ciuc 16th in SuperLiga (Romania) Home 0.90 projected goals by the model
Universitatea Craiova 3rd in SuperLiga (Romania) Away 1.82 projected goals by the model

Model updated 4 October, 00:30 Best odds updated 10 October, 12:00

What the model expects

expected goals
0.90 1.82
FK Csíkszereda Miercurea Ciuc Universitatea Craiova
FK Csíkszereda Miercurea Ciuc
15%
Draw
26%
Universitatea Craiova
59%
The odds each result is fair at by the model's chance of it, with no margin in it
FK Csíkszereda Miercurea Ciuc Draw Universitatea Craiova
Fair odds 6.54 3.82 1.71
Total goals
2.72
Over 2.5 goals
53%
Both teams to score
55%
Data coverage · full

Both teams have the full 20-match model window available.

Model vs market

The model sees an edge in 1 outcome.

  • FK Csíkszereda Miercurea Ciuc

    Model
    15.3%
    Market, margin removed
    16.6%
    Probability gap
    −1.3 pp
    Edge
    −15.9%
    Fair odds
    6.54
    Market odds
    5.50 Paddy Power
    Price at which a 5% edge begins
    6.87
    Bookmaker margin
    9.8%
  • Draw

    Model
    26.2%
    Market, margin removed
    22.8%
    Probability gap
    +3.4 pp
    Edge
    +4.7%
    Fair odds
    3.82
    Market odds
    4.00 Paddy Power
    Price at which a 5% edge begins
    4.01
    Bookmaker margin
    9.8%
  • Universitatea Craiova

    Model
    58.5%
    Market, margin removed
    60.7%
    Probability gap
    −2.2 pp
    Edge
    −12.2%
    Fair odds
    1.71
    Market odds
    1.50 Paddy Power
    Price at which a 5% edge begins
    1.79
    Bookmaker margin
    9.8%
Markets 1 / 7

Match result

Draw model 26.2% · book 22.8% (no margin) +4.7% 4.00 fair 3.82
Marginal

No measured model skill on this market (-1.04%).

Show every rated outcome

Skill is what a backtest measured each market at, over 7 competitions to 17/08/2026. Across every market at once it is +2.50%. Markets measured at nothing are ranked last and never recommended. How that is measured →

The model's case

Why the model leans Universitatea Craiova

59% Universitatea Craiova to win

Attack
1st vs 13th
Universitatea Craiova attack v FK Csíkszereda Miercurea Ciuc defence
Defence
1st vs 16th
Universitatea Craiova defence v FK Csíkszereda Miercurea Ciuc attack
Recent xG form
+1.28 vs -1.10
xGD per match, last 6
Projected goals
0.90 – 1.82
FK Csíkszereda Miercurea Ciuc v Universitatea Craiova
How the model arrived here →

Team comparison

Season to date, per match, with each club's placing in the competition. The last row is the last 6 matches.

Overview: FK Csíkszereda Miercurea Ciuc and Universitatea Craiova compared, each figure with where it places in the competition.
Reading FK Csíkszereda Miercurea Ciuc Universitatea Craiova
xG / match 0.74 · 16th (better) 2.45 · 1st
xGA / match 1.95 · 12th (better) 1.11 · 1st
xGD / match -1.22 · 16th (better) +1.34 · 1st
xPts / match 0.55 · 16th (better) 2.03 · 2nd
Last 6 xGD / match -1.10 (better) +1.29

The scorelines behind the model's numbers

No exact score is especially likely. The 3 most probable scorelines account for 36% of the model's distribution.

Universitatea Craiova clean sheet
38%
Universitatea Craiova 2+ goals
56%
Under 2.5 goals
47%
Both teams to score: no
45%

Most likely scorelines

1:1
13.5%
1:2
11.7%
0:2
11.0%
Value calculator

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How value is calculated

Value is probability × odds − 1 — it pays on average and over the long run, not necessarily in this match. The model knows nothing of absences, motivation or the schedule.

Nothing you type is remembered.

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Model details

Show
Fit window
the last 20 matches, recency weighted (a match 107 days old counts half)
FK Csíkszereda Miercurea Ciuc sample
20 matches
Universitatea Craiova sample
20 matches
Home xG sample · FK Csíkszereda Miercurea Ciuc
4 matches
Away xG sample · Universitatea Craiova
4 matches
Computed
Sunday, 04/10/2026 at 00:30
Odds updated
1 minute ago

Limitations

The model reads expected goals and nothing else. It does not know the lineups, who is injured or suspended, what either side has to play for, the weather, or how congested the schedule around this match is.