xgEdge

Friday, 18/09/2026 at 21:00

Full time
Match report · La Liga

Espanyol 1:3 Elche

Espanyol Home 1.05 xG · 23 shots
Elche Away 1.61 xG · 9 shots
13 The scoreline reflected the chances

Espanyol were the model's likeliest winner before kick-off at 49%. Elche won 3–1. The biggest difference was Elche's attack: 1.61 xG against 1.01 projected (+0.60). Espanyol produced 1.05 xG against 1.56 projected (−0.51).

Goals

  1. 26' Fernando Niño Elche · 0.52 xG chance 0–1
  2. 29' Fernando Niño Elche · 0.18 xG chance 0–2
  3. 72' Víctor Chust (o.g.) Espanyol · 0.10 xG chance 1–2
  4. 78' Germán Valera Elche · 0.33 xG chance 1–3

The model against the result

priced before kick-off
Espanyol
49%
Draw
30%
Elche
22% What happened

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

Projected vs produced

Expected goals
Espanyol The model projected 1.56 Produced 1.05 Difference -0.51
Elche The model projected 1.01 Produced 1.61 Difference +0.60

Elche produced 0.60 xG more than projected

Projected before kick-off Produced on the night

The shots behind it

Espanyol Elche
Shots
23
9
On target
5
6
Inside the box
13
6
xG per shot
0.05
0.16
Open play xG
0.88
1.37
Set-piece xG
0.25
0.03
Penalties
—
—
Shot-level xG may differ from the published match total

The provider publishes the match total separately from its shot-by-shot values. Those values are rounded to two decimals and, leaving out penalties and own goals, add up to its non-penalty xG: 1.13 for Espanyol and 1.44 for Elche.

Shot map

Both teams shown attacking the same goal for comparison.

Elche · Fernando Niño · 26' · Goal · 14 m · 0.52 xG Elche · Germán Valera · 78' · Goal · 11 m · 0.33 xG Elche · Lucas Cepeda · 55' · No goal · 15 m · 0.20 xG Elche · Fernando Niño · 29' · Goal · 5 m · 0.18 xG Espanyol · Edu Expósito · 7' · No goal · 22 m · 0.13 xG Espanyol · Roberto Fernández · 54' · No goal · 8 m · 0.11 xG Espanyol · Víctor Chust · 72' · Goal · 8 m · 0.10 xG Espanyol · Javier Hernández · 63' · No goal · 18 m · 0.08 xG Espanyol · Tyrhys Dolan · 90' · No goal · 13 m · 0.08 xG Espanyol · Pere Milla · 74' · No goal · 10 m · 0.07 xG Espanyol · Unai Núñez · 31' · No goal · 20 m · 0.06 xG Elche · Lucas Cepeda · 65' · No goal · 23 m · 0.06 xG Espanyol · Marcos Fernández · 68' · No goal · 8 m · 0.05 xG Espanyol · Marcos Fernández · 76' · No goal · 10 m · 0.05 xG Espanyol · Marcos Fernández · 46' · No goal · 20 m · 0.04 xG Espanyol · Roberto Fernández · 52' · No goal · 11 m · 0.04 xG Espanyol · Álex Calatrava · 53' · No goal · 24 m · 0.04 xG Espanyol · Álex Calatrava · 60' · No goal · 11 m · 0.04 xG Elche · Víctor Chust · 44' · No goal · 12 m · 0.03 xG Espanyol · Bryan Zaragoza · 45' · No goal · 13 m · 0.03 xG Espanyol · Javier Hernández · 52' · No goal · 20 m · 0.03 xG Espanyol · José Ángel López · 60' · No goal · 11 m · 0.03 xG Elche · Abiel Osorio · 61' · No goal · 4 m · 0.03 xG Elche · Abiel Osorio · 81' · No goal · 22 m · 0.03 xG Espanyol · Pere Milla · 87' · No goal · 12 m · 0.03 xG Espanyol · Tyrhys Dolan · 90' · No goal · 19 m · 0.03 xG Espanyol · Bryan Zaragoza · 33' · No goal · 14 m · 0.02 xG Espanyol · Edu Expósito · 33' · No goal · 23 m · 0.02 xG Espanyol · Álex Calatrava · 48' · No goal · 20 m · 0.02 xG Espanyol · Javier Hernández · 70' · No goal · 22 m · 0.02 xG Elche · Javi Morcillo · 90' · No goal · 30 m · 0.02 xG Espanyol · Leandro Cabrera · 45' · No goal · 14 m · 0.01 xG

All shots

32 shots · 2.53 xG

Hover, focus or tap a shot to read it.

  • Espanyol
  • Elche
  • Filled = goal
  • Dot area = xG (the smallest chances drawn at a minimum size)

Recent form

Last 6 · xG per match
Espanyol

1.28 xG created 1.32 xGA

  • W 1.55 created, 0.28 conceded against Levante UD
  • L 1.05 created, 2.71 conceded against Real Madrid
  • L 0.91 created, 1.82 conceded against Real Sociedad
  • D 1.23 created, 0.53 conceded against Sevilla
  • W 1.43 created, 1.05 conceded against Osasuna
  • L 1.49 created, 1.52 conceded against Rayo Vallecano
Elche

1.18 xG created 2.17 xGA

  • D 1.23 created, 0.34 conceded against Deportivo La Coruña
  • L 0.70 created, 4.38 conceded against Barcelona
  • L 1.03 created, 1.72 conceded against Racing de Santander
  • L 2.47 created, 0.58 conceded against Real Sociedad
  • D 0.84 created, 2.39 conceded against Athletic Club
  • L 0.78 created, 3.61 conceded against Real Madrid

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

Head to head

Espanyol: 1 won · 1 drawn · 0 lost

Pre-match model & market record

3 opportunities flagged1 won2 lost

  • Lost
  • Lost
  • Won
View pre-match record
The outcomes the model flagged on Espanyol against Elche before kick-off, in the order they ranked, with the price, the edge and what became of each.
Selection Price Edge Result
Draw 3.50 +3.7% Lost
Under 2.5 goals 2.00 +3.2% Lost
Both teams to score 1.80 +0.5% Won

Pre-match model vs market

Outcome Model Market Difference Fair odds
Espanyol 48.9% 52.2% −3.4 pp 2.05
Draw 29.6% 26.9% +2.8 pp 3.38
Elche 21.5% 20.9% +0.6 pp 4.65

Other markets

Outcome Model Market Difference Fair odds
Espanyol to score 81.6% 81.1% +0.5 pp 1.23
Espanyol not to score 18.4% 18.9% −0.5 pp 5.43
Elche to score 66.3% 64.5% +1.8 pp 1.51
Elche not to score 33.7% 35.5% −1.8 pp 2.97
Both teams to score 55.8% 52.0% +3.8 pp 1.79
Both teams not to score 44.2% 48.0% −3.8 pp 2.26
Espanyol 2+ goals 47.6% 51.5% −3.8 pp 2.10
Espanyol at most 1 goal 52.4% 48.5% +3.8 pp 1.91
Elche 2+ goals 26.6% 29.1% −2.5 pp 3.76
Elche at most 1 goal 73.4% 70.9% +2.5 pp 1.36
Over 1.5 goals 76.8% 76.2% +0.6 pp 1.30
Under 1.5 goals 23.2% 23.8% −0.6 pp 4.31
Over 2.5 goals 48.4% 52.6% −4.2 pp 2.07
Under 2.5 goals 51.6% 47.4% +4.2 pp 1.94

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)
Espanyol sample
20 matches
Elche sample
20 matches
Computed
1 hour before kick-off
Prices taken
12 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.