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Thursday, 03/09/2026 at 20:30

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Match report · Swiss Super League

Basel 1:2 FC Sion

Basel Home 0.94 xG · 11 shots
FC Sion Away 1.80 xG · 19 shots
12 The scoreline reflected the chances

FC Sion were the model's likeliest winner before kick-off at 38%. They won 2–1. The biggest difference was FC Sion's attack: 1.80 xG against 1.35 projected (+0.45). Basel produced 0.94 xG against 1.20 projected (−0.26).

Goals

  1. 40' Žan Celar Basel · 0.31 xG chance 1–0
  2. 76' Winsley Boteli Mokango FC Sion · 0.13 xG chance 1–1
  3. 79' Winsley Boteli Mokango FC Sion · 0.11 xG chance 1–2

The model against the result

priced before kick-off
Basel
31%
Draw
31%
FC Sion
38% What happened

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

Projected vs produced

Expected goals
Basel The model projected 1.20 Produced 0.94 Difference -0.26
FC Sion The model projected 1.35 Produced 1.80 Difference +0.45

FC Sion produced 0.45 xG more than projected

Projected before kick-off Produced on the night

The shots behind it

Basel FC Sion
Shots
11
19
On target
3
6
Inside the box
7
16
xG per shot
0.09
0.10
Open play xG
0.79
1.72
Set-piece xG
0.15
0.09
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: 1.80 for FC Sion.

Shot map

Both teams shown attacking the same goal for comparison.

FC Sion · Baltazar · 31' · No goal · 7 m · 0.32 xG Basel · Žan Celar · 40' · Goal · 9 m · 0.31 xG FC Sion · Josias Lukembila · 90' · No goal · 15 m · 0.19 xG Basel · Žan Celar · 9' · No goal · 10 m · 0.16 xG FC Sion · Franck Surdez · 71' · No goal · 10 m · 0.16 xG FC Sion · Winsley Boteli Mokango · 16' · No goal · 12 m · 0.14 xG FC Sion · Winsley Boteli Mokango · 76' · Goal · 18 m · 0.13 xG Basel · Flavius Daniliuc · 90' · No goal · 9 m · 0.12 xG FC Sion · Winsley Boteli Mokango · 79' · Goal · 5 m · 0.11 xG FC Sion · Baltazar · 20' · No goal · 16 m · 0.09 xG Basel · Bećir Omeragić · 48' · No goal · 10 m · 0.09 xG FC Sion · Franck Surdez · 74' · No goal · 8 m · 0.09 xG Basel · Žan Celar · 83' · No goal · 12 m · 0.09 xG FC Sion · Baltazar · 23' · No goal · 13 m · 0.08 xG FC Sion · Théo Berdayes · 59' · No goal · 9 m · 0.08 xG FC Sion · Numa Lavanchy · 40' · No goal · 6 m · 0.07 xG FC Sion · Donat Rrudhani · 64' · No goal · 10 m · 0.07 xG FC Sion · Marquinhos Cipriano · 42' · No goal · 7 m · 0.06 xG FC Sion · Josias Lukembila · 90' · No goal · 15 m · 0.06 xG FC Sion · Donat Rrudhani · 33' · No goal · 4 m · 0.05 xG Basel · Ludwig Thorell · 90' · No goal · 18 m · 0.05 xG FC Sion · Winsley Boteli Mokango · 18' · No goal · 6 m · 0.04 xG FC Sion · Baltazar · 50' · No goal · 10 m · 0.04 xG Basel · Philip Otele · 90' · No goal · 12 m · 0.04 xG Basel · Xherdan Shaqiri · 27' · No goal · 25 m · 0.02 xG FC Sion · Noé Sow · 38' · No goal · 30 m · 0.02 xG Basel · Flavius Daniliuc · 73' · No goal · 24 m · 0.02 xG Basel · Žan Celar · 85' · No goal · 11 m · 0.02 xG Basel · Philip Otele · 90' · No goal · 24 m · 0.02 xG FC Sion · Fode Sylla · 52' · No goal · 26 m · 0.01 xG

All shots

30 shots · 2.75 xG

Hover, focus or tap a shot to read it.

  • Basel
  • FC Sion
  • Filled = goal
  • Dot area = xG (the smallest chances drawn at a minimum size)

Recent form

Last 6 · xG per match
Basel

1.32 xG created 1.12 xGA

  • L 1.32 created, 1.31 conceded against FC Lugano
  • W 1.61 created, 1.14 conceded against Servette FC
  • L 0.98 created, 0.52 conceded against FC Lausanne-Sport
  • W 1.09 created, 0.64 conceded against FC Thun
  • W 1.64 created, 1.35 conceded against FC Zürich
  • D 1.28 created, 1.77 conceded against Young Boys
FC Sion

2.02 xG created 1.42 xGA

  • D 1.16 created, 1.79 conceded against FC Lugano
  • D 1.78 created, 1.24 conceded against Young Boys
  • L 1.69 created, 2.54 conceded against Young Boys
  • W 2.83 created, 0.51 conceded against FC Luzern
  • W 2.81 created, 1.75 conceded against FC Vaduz
  • L 1.82 created, 0.67 conceded against FC Lugano

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

Head to head

Basel: 1 won · 1 drawn · 2 lost

Pre-match model & market record

8 opportunities flagged1 won7 lost

  • Lost
  • Lost
  • Lost
  • Won
  • Lost
  • Lost
  • Lost
  • Lost
View pre-match record
The outcomes the model flagged on Basel against FC Sion 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 2.60 +34.5% Lost
Under 1.5 goals 5.50 +27.7% Lost
Basel not to score 4.50 +22.0% Lost
Basel at most 1 goal 1.83 +20.1% Won
Draw 3.60 +12.3% Lost
Both teams not to score 2.63 +10.4% Lost
FC Sion at most 1 goal 1.83 +9.6% Lost
FC Sion not to score 4.50 +3.7% Lost

Pre-match model vs market

Outcome Model Market Difference Fair odds
Basel 30.6% 34.8% −4.2 pp 3.27
Draw 31.2% 26.1% +5.1 pp 3.20
FC Sion 38.2% 39.1% −1.0 pp 2.62

Other markets

Outcome Model Market Difference Fair odds
Basel to score 72.9% 79.2% −6.3 pp 1.37
Basel not to score 27.1% 20.8% +6.3 pp 3.69
FC Sion to score 77.0% 79.2% −2.2 pp 1.30
FC Sion not to score 23.0% 20.8% +2.2 pp 4.34
Both teams to score 57.9% 64.5% −6.6 pp 1.73
Both teams not to score 42.1% 35.5% +6.6 pp 2.38
Basel 2+ goals 34.5% 50.0% −15.5 pp 2.90
Basel at most 1 goal 65.5% 50.0% +15.5 pp 1.53
FC Sion 2+ goals 40.2% 50.0% −9.8 pp 2.49
FC Sion at most 1 goal 59.8% 50.0% +9.8 pp 1.67
Over 1.5 goals 76.8% 82.8% −6.0 pp 1.30
Under 1.5 goals 23.2% 17.2% +6.0 pp 4.31
Over 2.5 goals 48.3% 63.8% −15.5 pp 2.07
Under 2.5 goals 51.7% 36.2% +15.5 pp 1.93

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)
Basel sample
20 matches
FC Sion sample
20 matches
Computed
10 hours before kick-off
Prices taken
10 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.