Grasshoppers vs FC Lugano Prediction
Switzerland · Regular Season - 2
AI Best Pick
Statistical forecasts for entertainment purposes only - not betting or financial advice.
Match Forecasts
Match Events
Lineups
Grasshoppers
71J. HammelJustin Hammel
28S. StroscioSimone Stroscio
73D. PaloschiDorian Paloschi
4L. MikulicLuka Mikulic
57N. RissiNico Rissi
5H. ImouraneHassane Imourane
8T. MeyerTim Meyer
6A. AbrashiAmir Abrashi
7L. PlangeLuke Plange
9N. MuciNikolas Muci
17S. KrasniqiSamuel Krasniqi
16D. von BallmoosDavid von Ballmoos
46M. ZanottiMattia Zanotti
6A. PapadopoulosAntonios Papadopoulos
17L. Lukas MaiLars Lukas Mai
18J. BichselJoel Bichsel
7E. AlioskiEzgjan Alioski
25U. BislimiUran Bislimi
8A. GrgićAnto Grgić
27D. Dos SantosDaniel Dos Santos
11R. SteffenRenato Steffen
30D. MoncadaDereck MoncadaGrasshoppers Substitutes
FC Lugano Substitutes
Match Stats
GrasshoppersFC Lugano Team Comparison
GrasshoppersFC LuganoAI Insights
Game State Tendencies
Grasshoppers- Leads at half-time in 60% of matches
- Tied at half-time in 40% of matches
- Starts fast - scores more in 1st half (1.2 vs 0.9 in second half)
- Concedes more in 2nd half - can tire late
FC Lugano- Tied at half-time in 60% of matches
- Comeback tendency: recovers from HT deficit 100% of the time
- Scores more in 2nd half (1.5 vs 0.4 in first half)
Head to Head
Based on 5 historical meetings
Recent Form
Grasshoppers
LausanneGrasshoppers
SCR AltachGrasshoppers
PanathinaikosGrasshoppers
FC WIL 1900Grasshoppers
ChamGrasshoppersFC Lugano
DukagjiniFC LuganoFC Lugano
FC VaduzFC LuganoDukagjiniFC LuganoFC Vaduz
1. FC HeidenheimFC LuganoReferee Profile
Marijan Drmic, Croatia · 8 matches analysed
League Table
| # | Team | MP | W | D | L | G | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|
| 1 | FC Lugano | 8 | 7 | 1 | 0 | 23:7 | +16 | 22 | WDWWW |
| 2 |  FC Sion | 8 | 6 | 0 | 2 | 22:13 | +9 | 18 | WWWWL |
| 3 |  BSC Young Boys | 8 | 4 | 4 | 0 | 28:16 | +12 | 16 | DDWDW |
| 4 |  FC Basel 1893 | 8 | 4 | 1 | 3 | 16:14 | +2 | 13 | WLLDW |
| 5 |  Servette FC | 8 | 3 | 1 | 4 | 9:10 | -1 | 10 | WWLLD |
| 6 |  FC ST. Gallen | 8 | 3 | 1 | 4 | 13:18 | -5 | 10 | LLWLL |
| 7 |  FC Zurich | 8 | 3 | 1 | 4 | 13:19 | -6 | 10 | WDLWL |
| 8 |  FC Luzern | 8 | 2 | 3 | 3 | 12:17 | -5 | 9 | LDWDW |
| 9 | Grasshoppers | 8 | 2 | 2 | 4 | 12:19 | -7 | 8 | LWDWL |
| 10 |  FC Thun | 8 | 2 | 1 | 5 | 13:22 | -9 | 7 | LLLDW |
| 11 | FC Vaduz | 8 | 2 | 0 | 6 | 17:19 | -2 | 6 | LWLWL |
| 12 | Lausanne | 8 | 1 | 3 | 4 | 7:11 | -4 | 6 | LLDLL |
| # | Team | MP | G | Pts |
|---|---|---|---|---|
| 1 | FC Lugano | 8 | 23:7 | 22 |
| 2 | FC Sion | 8 | 22:13 | 18 |
| 3 | BSC Young Boys | 8 | 28:16 | 16 |
| 4 | FC Basel 1893 | 8 | 16:14 | 13 |
| 5 | Servette FC | 8 | 9:10 | 10 |
| 6 | FC ST. Gallen | 8 | 13:18 | 10 |
| 7 | FC Zurich | 8 | 13:19 | 10 |
| 8 | FC Luzern | 8 | 12:17 | 9 |
| 9 | Grasshoppers | 8 | 12:19 | 8 |
| 10 | FC Thun | 8 | 13:22 | 7 |
| 11 | FC Vaduz | 8 | 17:19 | 6 |
| 12 | Lausanne | 8 | 7:11 | 6 |
Grasshoppers vs FC Lugano Prediction
Our AI model has analysed this Super League fixture using team Elo ratings, recent form, projected goals and head-to-head history. The forecasts cover six independent markets - each probability is a separate model calculation, not derived from the match winner result.
How to Read These Forecasts
Each percentage shows the model's calculated likelihood for that outcome. Above 65% indicates strong statistical confidence; 45-65% reflects a competitive or open market; below 45% suggests the outcome is statistically less likely. All figures are for informational and entertainment purposes only.
About Super League
ScorePredicts covers Switzerland football across all major markets. Use the navigation to explore today's full fixture list or filter by market.
Key Factors for This Match
Grasshoppers have led at half-time in 60% of their recent matches. Grasshoppers and FC Lugano have met 5 times recently, averaging 1.93 goals per game in those meetings. This forecast is based on a complete recent-form dataset for both teams.
All forecasts are generated by statistical and machine learning models for informational and entertainment purposes only. They are not guaranteed and do not constitute financial or betting advice.