xgEdge

Friday, 23/10/2026 at 20:00

Full time
Match report · SuperLiga (Romania)

FC Corvinul Hunedoara 0:3 FC Universitatea Cluj

FC Corvinul Hunedoara Home 1.47 xG
FC Universitatea Cluj Away 1.92 xG
03 The scoreline reflected the chances

FC Corvinul Hunedoara were the model's likeliest winner before kick-off at 46%. FC Universitatea Cluj won 3–0. The biggest difference was FC Universitatea Cluj's attack: 1.92 xG against 1.43 projected (+0.49). FC Corvinul Hunedoara produced 1.47 xG against 1.84 projected (−0.37).

The model against the result

priced before kick-off
FC Corvinul Hunedoara
46%
Draw
26%
FC Universitatea Cluj
28% What happened

Data coverage Both teams have at least 10 matches in the model window, but at least one has fewer than the full 20.

Projected vs produced

Expected goals
FC Corvinul Hunedoara The model projected 1.84 Produced 1.47 Difference -0.37
FC Universitatea Cluj The model projected 1.43 Produced 1.92 Difference +0.49

FC Universitatea Cluj produced 0.49 xG more than projected

Projected before kick-off Produced on the night

The shots behind it

FC Corvinul Hunedoara FC Universitatea Cluj
Shots
19
10
On target
4
5
Inside the box
9
9
xG per shot
0.08
0.19

Recent form

Last 6 · xG per match
FC Corvinul Hunedoara

1.46 xG created 1.57 xGA

  • D 0.91 created, 1.78 conceded against FC Dinamo București
  • L 1.35 created, 0.87 conceded against FC Petrolul Ploieşti
  • L 0.60 created, 1.07 conceded against Universitatea Craiova
  • W 2.59 created, 2.10 conceded against SC Oțelul Galați
  • W 2.58 created, 1.70 conceded against FC Voluntari
  • L 0.73 created, 1.91 conceded against FC Rapid București
FC Universitatea Cluj

1.99 xG created 1.41 xGA

  • L 3.33 created, 2.02 conceded against FC Petrolul Ploieşti
  • L 0.66 created, 2.05 conceded against Universitatea Craiova
  • W 1.78 created, 0.20 conceded against SC Oțelul Galați
  • W 2.49 created, 1.43 conceded against FC Voluntari
  • L 1.85 created, 1.22 conceded against FC Rapid București
  • D 1.80 created, 1.51 conceded against FC Argeș Pitești

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

Pre-match model & market record

6 qualified edges flagged2 won4 lost

  • Lost
  • Won
  • Lost
  • Lost
  • Won
  • Lost
View pre-match record
The outcomes the model flagged on FC Corvinul Hunedoara against FC Universitatea Cluj before kick-off, in the order they ranked, with the price, the edge and what became of each.
Selection Price Edge Result
FC Corvinul Hunedoara 2+ goals 2.25 +27.9% Lost
Over 2.5 goals 1.85 +21.2% Won
Both teams to score 1.67 +15.6% Lost
FC Corvinul Hunedoara to win 2.50 +14.9% Lost
Over 1.5 goals 1.25 +9.1% Won
FC Corvinul Hunedoara to score 1.25 +8.0% Lost

Pre-match model vs market

Outcome Model Market Difference Fair odds
FC Corvinul Hunedoara 45.9% 35.6% +10.3 pp 2.18
Draw 26.4% 28.7% −2.3 pp 3.79
FC Universitatea Cluj 27.6% 35.6% −8.0 pp 3.62

Other markets

Outcome Model Market Difference Fair odds
FC Corvinul Hunedoara to score 86.4% 75.0% +11.4 pp 1.16
FC Corvinul Hunedoara not to score 13.6% 25.0% −11.4 pp 7.35
FC Universitatea Cluj to score 78.7% 75.0% +3.7 pp 1.27
FC Universitatea Cluj not to score 21.3% 25.0% −3.7 pp 4.69
Both teams to score 69.3% 55.7% +13.6 pp 1.44
Both teams not to score 30.7% 44.3% −13.6 pp 3.26
FC Corvinul Hunedoara 2+ goals 56.9% 41.1% +15.7 pp 1.76
FC Corvinul Hunedoara at most 1 goal 43.1% 58.9% −15.7 pp 2.32
FC Universitatea Cluj 2+ goals 43.0% 41.1% +1.9 pp 2.32
FC Universitatea Cluj at most 1 goal 57.0% 58.9% −1.9 pp 1.76
Over 1.5 goals 87.3% 75.0% +12.3 pp 1.15
Under 1.5 goals 12.7% 25.0% −12.3 pp 7.88
Over 2.5 goals 65.5% 51.3% +14.2 pp 1.53
Under 2.5 goals 34.5% 48.7% −14.2 pp 2.90

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)
FC Corvinul Hunedoara sample
11 matches
FC Universitatea Cluj 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.