xgEdge

Saturday, 29/08/2026 at 18:00

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Match report · Swiss Super League

FC Lausanne-Sport 2:3 FC Zürich

FC Lausanne-Sport Home 1.09 xG · 10 shots
FC Zürich Away 1.71 xG · 11 shots
23 The scoreline reflected the chances

FC Lausanne-Sport were the model's likeliest winner before kick-off at 46%. FC Zürich won 3–2. The biggest difference was FC Zürich's attack: 1.71 xG against 1.01 projected (+0.70). FC Lausanne-Sport produced 1.09 xG against 1.47 projected (−0.38).

Goals

  1. 31' Enzo Molebe FC Lausanne-Sport · 0.14 xG chance 1–0
  2. 47' Bledian Krasniqi FC Zürich · 0.49 xG chance 1–1
  3. 58' Lindrit Kamberi FC Zürich · 0.22 xG chance 1–2
  4. 73' Omar Janneh FC Lausanne-Sport · 0.25 xG chance 2–2
  5. 81' Umeh Emmanuel FC Zürich · 0.28 xG chance 2–3

The model against the result

priced before kick-off
FC Lausanne-Sport
46%
Draw
31%
FC Zürich
23% What happened

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

Projected vs produced

Expected goals
FC Lausanne-Sport The model projected 1.47 Produced 1.09 Difference -0.38
FC Zürich The model projected 1.01 Produced 1.71 Difference +0.70

FC Zürich produced 0.70 xG more than projected

Projected before kick-off Produced on the night

The shots behind it

FC Lausanne-Sport FC Zürich
Shots
10
11
On target
3
4
Inside the box
10
7
xG per shot
0.11
0.16
Open play xG
0.81
1.31
Set-piece xG
0.26
0.40
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: 1.06 for FC Lausanne-Sport.

Shot map

Both teams shown attacking the same goal for comparison.

FC Zürich · Bledian Krasniqi · 47' · Goal · 7 m · 0.49 xG FC Zürich · Philippe Keny · 53' · No goal · 7 m · 0.32 xG FC Zürich · Umeh Emmanuel · 81' · Goal · 10 m · 0.28 xG FC Lausanne-Sport · Omar Janneh · 73' · Goal · 7 m · 0.25 xG FC Zürich · Lindrit Kamberi · 58' · Goal · 4 m · 0.22 xG FC Lausanne-Sport · Abdou Karim Sow · 39' · No goal · 6 m · 0.18 xG FC Lausanne-Sport · Enzo Molebe · 31' · Goal · 4 m · 0.14 xG FC Lausanne-Sport · Florent Mollet · 27' · No goal · 14 m · 0.12 xG FC Zürich · Kevin Spadanuda · 36' · No goal · 17 m · 0.11 xG FC Lausanne-Sport · Omar Janneh · 68' · No goal · 16 m · 0.11 xG FC Zürich · Bledian Krasniqi · 86' · No goal · 14 m · 0.11 xG FC Lausanne-Sport · Seydou Traore · 69' · No goal · 14 m · 0.08 xG FC Lausanne-Sport · Florent Mollet · 66' · No goal · 14 m · 0.07 xG FC Zürich · Alexander Hack · 55' · No goal · 9 m · 0.05 xG FC Lausanne-Sport · Abdou Karim Sow · 60' · No goal · 8 m · 0.05 xG FC Zürich · Lindrit Kamberi · 79' · No goal · 7 m · 0.05 xG FC Zürich · Philippe Keny · 18' · No goal · 28 m · 0.04 xG FC Lausanne-Sport · Enzo Molebe · 50' · No goal · 16 m · 0.04 xG FC Zürich · Philippe Keny · 20' · No goal · 25 m · 0.03 xG FC Lausanne-Sport · Morgan Poaty · 29' · No goal · 13 m · 0.03 xG FC Zürich · Selmin Hodza · 18' · No goal · 25 m · 0.01 xG

All shots

21 shots · 2.78 xG

Hover, focus or tap a shot to read it.

  • FC Lausanne-Sport
  • FC Zürich
  • Filled = goal
  • Dot area = xG (the smallest chances drawn at a minimum size)

Recent form

Last 6 · xG per match
FC Lausanne-Sport

1.13 xG created 0.95 xGA

  • L 0.50 created, 1.39 conceded against Servette FC
  • L 2.98 created, 0.52 conceded against Grasshopper Club Zürich
  • D 0.80 created, 0.74 conceded against Grasshopper Club Zürich
  • W 0.52 created, 0.98 conceded against Basel
  • D 1.54 created, 1.09 conceded against Young Boys
  • L 0.41 created, 0.98 conceded against FC Luzern
FC Zürich

1.13 xG created 1.91 xGA

  • L 1.76 created, 2.16 conceded against FC Luzern
  • L 0.18 created, 2.03 conceded against Servette FC
  • L 1.11 created, 1.63 conceded against FC St. Gallen 1879
  • W 1.48 created, 1.53 conceded against Servette FC
  • L 0.87 created, 2.46 conceded against FC Lugano
  • L 1.35 created, 1.64 conceded against Basel

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

Head to head

FC Lausanne-Sport: 3 won · 0 drawn · 1 lost

Pre-match model & market record

8 opportunities flagged0 won8 lost

  • Lost
  • Lost
  • Lost
  • Lost
  • Lost
  • Lost
  • Lost
  • Lost
View pre-match record
The outcomes the model flagged on FC Lausanne-Sport against FC Zürich before kick-off, in the order they ranked, with the price, the edge and what became of each.
Selection Price Edge Result
Under 2.5 goals 2.30 +24.2% Lost
Draw 3.90 +19.4% Lost
FC Lausanne-Sport at most 1 goal 2.10 +16.6% Lost
Under 1.5 goals 4.50 +12.5% Lost
FC Lausanne-Sport not to score 5.50 +12.0% Lost
FC Zürich at most 1 goal 1.44 +6.0% Lost
Both teams not to score 2.25 +2.2% Lost
FC Zürich not to score 3.00 +1.2% Lost

Pre-match model vs market

Outcome Model Market Difference Fair odds
FC Lausanne-Sport 46.4% 50.6% −4.2 pp 2.15
Draw 30.6% 24.0% +6.6 pp 3.27
FC Zürich 23.0% 25.3% −2.3 pp 4.35

Other markets

Outcome Model Market Difference Fair odds
FC Lausanne-Sport to score 79.6% 82.8% −3.2 pp 1.26
FC Lausanne-Sport not to score 20.4% 17.2% +3.2 pp 4.91
FC Zürich to score 66.3% 68.7% −2.5 pp 1.51
FC Zürich not to score 33.7% 31.3% +2.5 pp 2.96
Both teams to score 54.6% 58.9% −4.3 pp 1.83
Both teams not to score 45.4% 41.1% +4.3 pp 2.20
FC Lausanne-Sport 2+ goals 44.5% 55.7% −11.2 pp 2.25
FC Lausanne-Sport at most 1 goal 55.5% 44.3% +11.2 pp 1.80
FC Zürich 2+ goals 26.6% 35.5% −8.9 pp 3.76
FC Zürich at most 1 goal 73.4% 64.5% +8.9 pp 1.36
Over 1.5 goals 75.0% 79.2% −4.2 pp 1.33
Under 1.5 goals 25.0% 20.8% +4.2 pp 4.00
Over 2.5 goals 46.0% 59.0% −13.0 pp 2.17
Under 2.5 goals 54.0% 41.0% +13.0 pp 1.85

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 Lausanne-Sport sample
20 matches
FC Zürich sample
20 matches
Computed
8 hours before kick-off
Prices taken
8 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.