Prediction: Grasshoppers vs St Gallen

Team pages: Grasshoppers · St Gallen

Prediction summary
Expected goals
3.18Total
Grasshoppers1.46
St Gallen1.72
1X2
32% 25% 43%
Grasshoppers Draw St Gallen
Markets
Under 3.5 goals 61% Both teams to score 57%
Most likely score
1-1 11%
Recent form · 10 last
Grasshoppers 3-1-6 (W-D-L)
LWLLLWWDLL
St Gallen 6-3-1 (W-D-L)
WDWLWWDWWD
Head-to-head
Grasshoppers 1–1–4 St Gallen (6 last)
  • St Gallen0-0Grasshoppers
  • Grasshoppers1-2St Gallen
  • St Gallen5-0Grasshoppers
  • Grasshoppers2-0St Gallen
  • St Gallen3-1Grasshoppers
  • Grasshoppers1-2St Gallen
Model analysis
1st-half goalsOver 1.5 · 55%model estimate

Match keys

  • Our model (Elo, opponent-adjusted) favours St Gallen (rating 1486 vs 1579).
  • H2H favours St Gallen: 4-1-1.
  • Cards-heavy: 11.5 🟨 combined avg.

Statistics · 10/10 matches analysed

F = for · A = against · HT = half-time · FT = full-time

GrasshoppersSt Gallen
Goals for / against (FT)1.3 / 21.9 / 1.5
Goals for / against (HT)0.7 / 0.60.3 / 0.4
Half-time result (W/D/L)50/10/40%10/70/20%
Corners (HT / FT)1.9 / 3.72.7 / 6.2
Cards (🟨 / 🟥)4.7 / 0.46.8 / 0

Head-to-head (H2H) · Grasshoppers 114 St Gallen

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DateHomeScoreAway
14/02/26
Switzerland Super League
St Gallen0-0
HT 0-0
Grasshoppers
21/12/25
Switzerland Super League
Grasshoppers1-2
HT 1-1
St Gallen
25/10/25
Switzerland Super League
St Gallen5-0
HT 3-0
Grasshoppers
22/05/25
Switzerland Super League
Grasshoppers2-0
HT 1-0
St Gallen
08/03/25
Switzerland Super League
St Gallen3-1
HT 1-1
Grasshoppers
10/11/24
Switzerland Super League
Grasshoppers1-2
HT 0-1
St Gallen

Standings · Switzerland Super League

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#Team PWDL GFGAPts
1 Young Boys 5320 19911
2 Basel 5311 10710
3 Lugano 3300 1129
4 St Gallen 3210 757
5 FC Sion 3201 866
6 FC Zurich 5203 7126
7 FC Lausanne-Sport 5122 675
8 Lucerne 5122 595
9 Servette 4112 454
10 FC Thun 3102 5113
11 Grasshoppers 3012 371
12 FC Vaduz 4004 7120

Common opponents 4 opponents

How each team fared against the same recent opponents

OpponentGrasshoppersSt Gallen
Lugano 1-4 L 2-1 W
FC Zurich 1-2 L 2-1 W
Lucerne 1-2 L 2-2 D
FC Sion 0-4 L 0-3 L
Record vs common 0 W 0 D 4 L 2 W 1 D 1 L

Better against common opponents: St Gallen (4 of 4 head-to-heads won)

Last 10 matches played

The averages above come from these matches. W = win, D = draw, L = loss. Common opponents to both are in blue.

Grasshoppers

LWLLLWWDLL

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Date Opponent HT FT Cor.Cards Res.
08/08 Servette
Switzerland Super League
1-1 1-2 58 L
02/08 Lugano
Switzerland Super League
1-0 1-4 32 L
25/07 FC Lausanne-Sport
Switzerland Super League
0-1 1-1 26 D
16/05 Lausanne Sports
Switzerland Super League
2-0 3-1 28 W
12/05 Winterthur
Switzerland Super League
0-2 3-2 106 W
09/05 FC Zurich
Switzerland Super League
1-0 1-2 44 L
03/05 Servette
Switzerland Super League
0-1 0-2 25 L
25/04 Lucerne
Switzerland Super League
1-0 1-2 51 L
11/04 Winterthur
Switzerland Super League
1-0 2-0 37 W
06/04 FC Sion
Switzerland Super League
0-1 0-4 14 L

St Gallen

WDWLWWDWWD

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Date Opponent HT FT Cor.Cards Res.
09/08 Lucerne
Switzerland Super League
1-0 2-2 68 D
02/08 FC Vaduz
Switzerland Super League
1-1 3-2 93 W
26/07 FC Zurich
Switzerland Super League
0-0 2-1 44 W
17/05 FC Thun
Switzerland Super League
0-0 1-1 35 D
14/05 Basel
Switzerland Super League
0-0 3-1 89 W
10/05 Lugano
Switzerland Super League
0-0 2-1 610 W
03/05 FC Sion
Switzerland Super League
0-1 0-3 510 L
26/04 Young Boys
Switzerland Super League
0-0 2-1 45 W
12/04 Lucerne
Switzerland Super League
0-1 2-2 55 D
06/04 FC Zurich
Switzerland Super League
1-1 2-1 129 W

Frequently asked questions

Who is the favourite in Grasshoppers vs St Gallen?

According to our model, the most likely result is an St Gallen win (43%). Probabilities: Grasshoppers 32%, draw 25%, St Gallen 43%.

How many goals are expected in Grasshoppers vs St Gallen?

The model expects 3.18 goals (Grasshoppers 1.46 · St Gallen 1.72), with a 51% chance of over 3 goals.

Will both teams score in Grasshoppers vs St Gallen?

The model gives a 57% chance that both teams score.

What is the most likely score?

The most likely score according to our model is 1-1.