xgEdge

Sunday, 18/10/2026 at 20:00

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Match report · SuperLiga (Romania)

Universitatea Craiova 2:0 FC Farul Constanța

Universitatea Craiova Home 1.37 xG
FC Farul Constanța Away 0.78 xG
20 The scoreline reflected the chances

Universitatea Craiova were the model's likeliest winner before kick-off at 72%. They won 2–0. The biggest difference was Universitatea Craiova's attack: 1.37 xG against 2.46 projected (−1.09).

The model against the result

priced before kick-off
Universitatea Craiova
72% What happened
Draw
19%
FC Farul Constanța
10%

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

Projected vs produced

Expected goals
Universitatea Craiova The model projected 2.46 Produced 1.37 Difference -1.09
FC Farul Constanța The model projected 0.93 Produced 0.78 Difference -0.15

Universitatea Craiova produced 1.09 xG less than projected

Projected before kick-off Produced on the night

The shots behind it

Universitatea Craiova FC Farul Constanța
Shots
16
8
On target
7
2
Inside the box
9
4
xG per shot
0.09
0.10

Recent form

Last 6 · xG per match
Universitatea Craiova

2.69 xG created 0.77 xGA

  • W 4.58 created, 0.87 conceded against FC Voluntari
  • D 1.95 created, 1.39 conceded against FC Rapid București
  • W 2.05 created, 0.66 conceded against FC Universitatea Cluj
  • W 1.07 created, 0.60 conceded against FC Corvinul Hunedoara
  • W 3.14 created, 0.61 conceded against FCSB
  • W 3.33 created, 0.47 conceded against FK Csíkszereda Miercurea Ciuc
FC Farul Constanța

1.48 xG created 1.76 xGA

  • D 1.05 created, 0.37 conceded against FC Argeș Pitești
  • D 0.72 created, 1.53 conceded against Sepsi OSK
  • D 2.25 created, 2.32 conceded against FC Botoșani
  • W 2.07 created, 1.98 conceded against UTA Arad
  • L 1.42 created, 2.74 conceded against FC Dinamo București
  • W 1.37 created, 1.64 conceded against FC Petrolul Ploieşti

xG created xG conceded (xGA) W / D / L: the match result

Head to head

Universitatea Craiova: 1 won · 0 drawn · 1 lost

Pre-match model & market record

7 qualified edges flagged3 won4 lost

  • Lost
  • Lost
  • Lost
  • Won
  • Won
  • Lost
  • Won
View pre-match record
The outcomes the model flagged on Universitatea Craiova against FC Farul Constanța before kick-off, in the order they ranked, with the price, the edge and what became of each.
Selection Price Edge Result
Over 2.5 goals 1.67 +13.2% Lost
Both teams to score 1.83 +10.1% Lost
FC Farul Constanța to score 1.73 +9.5% Lost
Over 1.5 goals 1.20 +6.0% Won
Universitatea Craiova 2+ goals 1.44 +5.3% Won
FC Farul Constanța 2+ goals 4.50 +5.1% Lost
Universitatea Craiova to score 1.08 +0.8% Won

Pre-match model vs market

Outcome Model Market Difference Fair odds
Universitatea Craiova 71.5% 66.3% +5.2 pp 1.40
Draw 18.8% 21.0% −2.2 pp 5.31
FC Farul Constanța 9.6% 12.6% −3.0 pp 10.39

Other markets

Outcome Model Market Difference Fair odds
Universitatea Craiova to score 93.1% 88.1% +5.0 pp 1.07
Universitatea Craiova not to score 6.9% 11.9% −5.0 pp 14.40
FC Farul Constanța to score 63.4% 53.7% +9.8 pp 1.58
FC Farul Constanța not to score 36.6% 46.3% −9.8 pp 2.73
Both teams to score 60.1% 50.0% +10.1 pp 1.67
Both teams not to score 39.9% 50.0% −10.1 pp 2.50
Universitatea Craiova 2+ goals 72.9% 64.5% +8.4 pp 1.37
Universitatea Craiova at most 1 goal 27.1% 35.5% −8.4 pp 3.69
FC Farul Constanța 2+ goals 23.4% 20.8% +2.6 pp 4.28
FC Farul Constanța at most 1 goal 76.6% 79.2% −2.6 pp 1.30
Over 1.5 goals 88.4% 78.3% +10.0 pp 1.13
Under 1.5 goals 11.6% 21.7% −10.0 pp 8.58
Over 2.5 goals 67.9% 56.3% +11.6 pp 1.47
Under 2.5 goals 32.1% 43.7% −11.6 pp 3.12

Prices and probabilities are the ones stored before kick-off; nothing here is recalculated. Edge is the model's probability times the price, minus one, so a flagged outcome that lost is the ordinary case rather than a contradiction.

Model details

Show
Fit window
the last 20 matches, recency weighted (a match 107 days old counts half)
Universitatea Craiova sample
20 matches
FC Farul Constanța sample
20 matches
Computed
1 hour before kick-off
Prices taken
1 hour before kick-off

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.