xgEdge

Friday, 28/08/2026 at 20:00

Full time
Match report · SuperLiga (Romania)

FC Universitatea Cluj 2:3 FC Petrolul Ploieşti

FC Universitatea Cluj Home 3.33 xG
FC Petrolul Ploieşti Away 2.02 xG
23 The result went against the chances

FC Universitatea Cluj were the model's likeliest winner before kick-off at 56%. FC Petrolul Ploieşti won 3–2. The biggest difference was FC Universitatea Cluj's attack: 3.33 xG against 2.05 projected (+1.28). FC Petrolul Ploieşti produced 2.02 xG against 1.20 projected (+0.82).

The model against the result

priced before kick-off
FC Universitatea Cluj
56%
Draw
24%
FC Petrolul Ploieşti
19% What happened

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

Projected vs produced

Expected goals
FC Universitatea Cluj The model projected 2.05 Produced 3.33 Difference +1.28
FC Petrolul Ploieşti The model projected 1.20 Produced 2.02 Difference +0.82

FC Universitatea Cluj produced 1.28 xG more than projected

Projected before kick-off Produced on the night

The shots behind it

FC Universitatea Cluj FC Petrolul Ploieşti
Shots
23
11
On target
9
8
Inside the box
17
4
xG per shot
0.14
0.18

Recent form

Last 6 · xG per match
FC Universitatea Cluj

1.68 xG created 2.00 xGA

  • L 0.53 created, 2.37 conceded against Universitatea Craiova
  • W 0.95 created, 1.69 conceded against FC Farul Constanța
  • L 1.22 created, 1.79 conceded against Sepsi OSK
  • W 3.14 created, 2.14 conceded against FC Botoșani
  • W 2.30 created, 2.47 conceded against UTA Arad
  • L 1.94 created, 1.51 conceded against FC Dinamo București
FC Petrolul Ploieşti

1.19 xG created 1.95 xGA

  • L 1.37 created, 1.85 conceded against SC Oțelul Galați
  • W 1.37 created, 1.84 conceded against FC Dinamo București
  • L 0.68 created, 0.50 conceded against FC Argeș Pitești
  • L 0.25 created, 4.14 conceded against Universitatea Craiova
  • W 2.23 created, 2.04 conceded against FC Voluntari
  • L 1.26 created, 1.31 conceded against FC Rapid București

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

Head to head

FC Universitatea Cluj: 1 won · 1 drawn · 0 lost

Pre-match model & market record

6 opportunities flagged6 won0 lost

  • Won
  • Won
  • Won
  • Won
  • Won
  • Won
View pre-match record
The outcomes the model flagged on FC Universitatea Cluj against FC Petrolul Ploieşti before kick-off, in the order they ranked, with the price, the edge and what became of each.
Selection Price Edge Result
Both teams to score 1.83 +21.0% Won
Over 2.5 goals 1.80 +16.9% Won
FC Petrolul Ploieşti 2+ goals 3.40 +16.2% Won
FC Petrolul Ploieşti to score 1.50 +9.0% Won
FC Universitatea Cluj 2+ goals 1.73 +8.5% Won
FC Universitatea Cluj to score 1.14 +1.8% Won

Pre-match model vs market

Outcome Model Market Difference Fair odds
FC Universitatea Cluj 56.4% 54.9% +1.4 pp 1.77
Draw 24.5% 25.3% −0.9 pp 4.08
FC Petrolul Ploieşti 19.1% 19.7% −0.6 pp 5.23

Other markets

Outcome Model Market Difference Fair odds
FC Universitatea Cluj to score 89.0% 82.8% +6.3 pp 1.12
FC Universitatea Cluj not to score 11.0% 17.2% −6.3 pp 9.13
FC Petrolul Ploieşti to score 72.7% 62.5% +10.2 pp 1.38
FC Petrolul Ploieşti not to score 27.3% 37.5% −10.2 pp 3.66
Both teams to score 66.0% 50.0% +16.0 pp 1.51
Both teams not to score 34.0% 50.0% −16.0 pp 2.94
FC Universitatea Cluj 2+ goals 62.8% 53.7% +9.1 pp 1.59
FC Universitatea Cluj at most 1 goal 37.2% 46.3% −9.1 pp 2.69
FC Petrolul Ploieşti 2+ goals 34.2% 27.7% +6.5 pp 2.92
FC Petrolul Ploieşti at most 1 goal 65.8% 72.3% −6.5 pp 1.52
Over 2.5 goals 64.9% 53.2% +11.7 pp 1.54
Under 2.5 goals 35.1% 46.8% −11.7 pp 2.85

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 Universitatea Cluj sample
20 matches
FC Petrolul Ploieşti sample
20 matches
Computed
9 hours before kick-off
Prices taken
9 hours 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.