UWCL Predicted Lineups Matchday 4: Women's Champions League Expected Starting XIs
Get UWCL Fantasy predicted lineups and team news before you transfer. Knowing who starts protects you from benching points and helps you avoid rotation risks.
Likely starting XIs, rotation risk and injury updates, refreshed as team news lands.
Arsenal (W) predicted line-up — away to Barcelona (W)
Our model's most likely starting eleven for Matchday 4, 2026-11-11 18:45, ranked by how likely each player is to start. These are projections, not a confirmed team sheet — they move as team news and press conferences land.
| Player | Pos | Chance of starting | Projected minutes |
|---|---|---|---|
| Alessia Russo | FWD | 90% | 73 |
| Emily Fox | DEF | 88% | 71 |
| Georgia Stanway | MID | 84% | 65 |
| Ona Batlle | DEF | 83% | 68 |
| Leah Williamson | DEF | 79% | 68 |
| Lisa Baum | MID | 73% | 53 |
| Kim Little | MID | 70% | 58 |
| Anneke Borbe | GK | 65% | 58 |
| Steph Catley | DEF | 57% | 50 |
| Kyra Cooney-Cross | MID | 56% | 47 |
| Lotte Wubben-Moy | DEF | 51% | 49 |
Austria Wien W (W) predicted line-up — away to Benfica (W)
Our model's most likely starting eleven for Matchday 4, 2026-11-11 21:00, ranked by how likely each player is to start. These are projections, not a confirmed team sheet — they move as team news and press conferences land.
| Player | Pos | Chance of starting | Projected minutes |
|---|---|---|---|
| Jasmin Pal | GK | 99% | 89 |
| Carina Wenninger | DEF | 96% | 87 |
| Virginia Kirchberger | DEF | 96% | 87 |
| Verena Hanshaw | DEF | 95% | 83 |
| Elisa Pfattner | MID | 95% | 79 |
| Tatjana Weiss | DEF | 94% | 82 |
| Modesta Uka | FWD | 94% | 78 |
| Valentina Potzl | MID | 93% | 79 |
| Patricia Pfanner | MID | 93% | 76 |
| Lotta Cordes | MID | 93% | 80 |
| Yvonne Weilharter | DEF | 75% | 67 |
BK Häcken (W) predicted line-up — home to Chelsea (W)
Our model's most likely starting eleven for Matchday 4, 2026-11-10 18:45, ranked by how likely each player is to start. These are projections, not a confirmed team sheet — they move as team news and press conferences land.
| Player | Pos | Chance of starting | Projected minutes |
|---|---|---|---|
| Jennifer Falk | GK | 99% | 89 |
| Aivi Luik | DEF | 98% | 86 |
| Tabby Tindell | FWD | 98% | 82 |
| Pernille Sanvig | MID | 98% | 83 |
| Anna Anvegård | FWD | 97% | 76 |
| Delaney Matriano | MID | 96% | 76 |
| Alva Selerud | DEF | 96% | 82 |
| Thelma Pálmadóttir | FWD | 96% | 80 |
| Stine Sandbech | DEF | 94% | 76 |
| Joy Ogochuckwu | FWD | 93% | 74 |
| Emma Östlund | DEF | 62% | 55 |
Barcelona (W) predicted line-up — home to Arsenal (W)
Our model's most likely starting eleven for Matchday 4, 2026-11-11 18:45, ranked by how likely each player is to start. These are projections, not a confirmed team sheet — they move as team news and press conferences land.
| Player | Pos | Chance of starting | Projected minutes |
|---|---|---|---|
| Sydney Schertenleib | MID | 86% | 70 |
| Clara Serrajordi | MID | 86% | 70 |
| Cata Coll | GK | 86% | 77 |
| Clàudia Pina | MID | 85% | 69 |
| Aïcha Cámara | DEF | 85% | 69 |
| Aitana Bonmatí | MID | 85% | 70 |
| Caroline Graham Hansen | MID | 84% | 68 |
| Esmee Brugts | DEF | 84% | 68 |
| Ewa Pajor | FWD | 84% | 69 |
| Patri Guijarro | MID | 83% | 69 |
| Renee van Asten | DEF | 74% | 64 |
Bayern München (W) predicted line-up — away to Paris Saint Germain (W)
Our model's most likely starting eleven for Matchday 4, 2026-11-10 21:00, ranked by how likely each player is to start. These are projections, not a confirmed team sheet — they move as team news and press conferences land.
| Player | Pos | Chance of starting | Projected minutes |
|---|---|---|---|
| Ena Mahmutovic | GK | 93% | 84 |
| Momoko Tanikawa | FWD | 89% | 69 |
| Klara Bühl | MID | 83% | 66 |
| Linda Dallmann | MID | 82% | 65 |
| Pernille Harder | FWD | 82% | 65 |
| Giulia Gwinn | DEF | 81% | 65 |
| Jovana Damnjanovic | FWD | 79% | 62 |
| Franziska Kett | MID | 79% | 67 |
| Glódís Viggósdóttir | DEF | 78% | 69 |
| Bernadette Kakounan | MID | 71% | 63 |
| Stine Ballisager Pedersen | DEF | 59% | 52 |
Benfica (W) predicted line-up — home to Austria Wien W (W)
Our model's most likely starting eleven for Matchday 4, 2026-11-11 21:00, ranked by how likely each player is to start. These are projections, not a confirmed team sheet — they move as team news and press conferences land.
| Player | Pos | Chance of starting | Projected minutes |
|---|---|---|---|
| Lena Pauels | GK | 99% | 89 |
| Catarina Amado | DEF | 79% | 69 |
| Anna Csiki | MID | 79% | 67 |
| Marit Lund | DEF | 78% | 70 |
| Frøya Dorsin | FWD | 78% | 64 |
| Chandra Davidson | FWD | 78% | 65 |
| Lucia Alves | FWD | 77% | 63 |
| Tinkara Testen | DEF | 77% | 69 |
| Pauleta | MID | 75% | 59 |
| Diana Gomes | DEF | 54% | 54 |
| Carolina Tristao | MID | 49% | 46 |
Chelsea (W) predicted line-up — away to BK Häcken (W)
Our model's most likely starting eleven for Matchday 4, 2026-11-10 18:45, ranked by how likely each player is to start. These are projections, not a confirmed team sheet — they move as team news and press conferences land.
| Player | Pos | Chance of starting | Projected minutes |
|---|---|---|---|
| Hannah Hampton | GK | 94% | 84 |
| Ellie Carpenter | DEF | 88% | 76 |
| Keira Walsh | MID | 88% | 75 |
| Lucy Bronze | DEF | 85% | 75 |
| Wieke Kaptein | MID | 84% | 70 |
| Sjoeke Nüsken | MID | 80% | 64 |
| Kadeisha Buchanan | DEF | 79% | 69 |
| Alyssa Thompson | MID | 78% | 68 |
| Melvine Malard | FWD | 77% | 58 |
| Sandy Baltimore | MID | 77% | 61 |
| Veerle Buurman | DEF | 75% | 66 |
HB Køge (W) predicted line-up — away to Oud Heverlee Leuven (W)
Our model's most likely starting eleven for Matchday 4, 2026-11-11 18:45, ranked by how likely each player is to start. These are projections, not a confirmed team sheet — they move as team news and press conferences land.
| Player | Pos | Chance of starting | Projected minutes |
|---|---|---|---|
| Simone Boye | DEF | 95% | 82 |
| Maria Uhre | DEF | 94% | 82 |
| Alberte Vingum | GK | 94% | 85 |
| Macy Schultz | DEF | 93% | 79 |
| Mille Gejl | MID | 93% | 77 |
| Mwanalima Jereko | MID | 90% | 75 |
| Sarah Thygesen | MID | 90% | 73 |
| Kyra Carusa | FWD | 89% | 73 |
| Rikke Marie Madsen | FWD | 88% | 73 |
| Emma Flick | DEF | 85% | 72 |
| Emelía Óskarsdóttir | FWD | 77% | 66 |
Inter (W) predicted line-up — home to Manchester City (W)
Our model's most likely starting eleven for Matchday 4, 2026-11-10 21:00, ranked by how likely each player is to start. These are projections, not a confirmed team sheet — they move as team news and press conferences land.
| Player | Pos | Chance of starting | Projected minutes |
|---|---|---|---|
| Cecilia Rán Runarsdottir | GK | 99% | 89 |
| Ivana | DEF | 95% | 83 |
| Olivia Schough | MID | 77% | 64 |
| Haley Bugeja | FWD | 73% | 62 |
| Michela Cambiaghi | FWD | 66% | 48 |
| Marija Milinkovic | DEF | 61% | 61 |
| Karolina Lea Vilhjálmsdottir | MID | 59% | 52 |
| Lina Magull | MID | 58% | 54 |
| Clarisse Le Bihan | MID | 53% | 47 |
| Samantha van Diemen | DEF | 47% | 37 |
| Sheila Garcia | DEF | 46% | 41 |
Juventus (W) predicted line-up — home to OL Lyonnes (W)
Our model's most likely starting eleven for Matchday 4, 2026-11-11 21:00, ranked by how likely each player is to start. These are projections, not a confirmed team sheet — they move as team news and press conferences land.
| Player | Pos | Chance of starting | Projected minutes |
|---|---|---|---|
| Estela Carbonell | DEF | 93% | 76 |
| Tatiana Pinto | MID | 93% | 71 |
| Larissa Rusek | GK | 93% | 84 |
| Eva Schatzer | MID | 92% | 74 |
| Alba Redondo | FWD | 91% | 72 |
| Federica D'Auria | DEF | 89% | 75 |
| Danique Noordman | MID | 89% | 75 |
| Kysha Sylla | DEF | 88% | 74 |
| Martina Rosucci | DEF | 88% | 69 |
| Manaka Hayashi | MID | 83% | 63 |
| Matilde Pavan | MID | 82% | 64 |
Manchester City (W) predicted line-up — away to Inter (W)
Our model's most likely starting eleven for Matchday 4, 2026-11-10 21:00, ranked by how likely each player is to start. These are projections, not a confirmed team sheet — they move as team news and press conferences land.
| Player | Pos | Chance of starting | Projected minutes |
|---|---|---|---|
| Ayaka Yamashita | GK | 84% | 75 |
| Jade Rose | DEF | 81% | 73 |
| Alex Greenwood | DEF | 81% | 69 |
| Yui Hasegawa | MID | 78% | 70 |
| Kerstin Casparij | DEF | 76% | 61 |
| Laura Blindkilde | MID | 76% | 61 |
| Khadija Shaw | FWD | 76% | 66 |
| Aoba Fujino | MID | 75% | 60 |
| Lauren Hemp | FWD | 73% | 62 |
| Grace Clinton | MID | 70% | 59 |
| Beth Mead | FWD | 49% | 47 |
OL Lyonnes (W) predicted line-up — away to Juventus (W)
Our model's most likely starting eleven for Matchday 4, 2026-11-11 21:00, ranked by how likely each player is to start. These are projections, not a confirmed team sheet — they move as team news and press conferences land.
| Player | Pos | Chance of starting | Projected minutes |
|---|---|---|---|
| Maria Grohs | GK | 87% | 78 |
| Melchie Dumornay | FWD | 80% | 65 |
| Ingrid Syrstad Engen | MID | 80% | 71 |
| Selma Bacha | DEF | 80% | 65 |
| Lily Isabella Yohannes | MID | 78% | 65 |
| Damaris Egurrola | MID | 78% | 68 |
| Salma Paralluelo | FWD | 77% | 67 |
| Marie-Antoinette Katoto | FWD | 77% | 60 |
| Tarciane | DEF | 76% | 67 |
| Jule Brand | MID | 56% | 50 |
| Caroline Weir | MID | 54% | 48 |
Oud Heverlee Leuven (W) predicted line-up — home to HB Køge (W)
Our model's most likely starting eleven for Matchday 4, 2026-11-11 18:45, ranked by how likely each player is to start. These are projections, not a confirmed team sheet — they move as team news and press conferences land.
| Player | Pos | Chance of starting | Projected minutes |
|---|---|---|---|
| Lowiese Seynhaeve | GK | 99% | 89 |
| Kimberley Smit | DEF | 93% | 81 |
| Jada Conijnenberg | FWD | 86% | 74 |
| Alixe Bosteels | MID | 84% | 69 |
| Kim Everaerts | DEF | 84% | 72 |
| Kadhiya De Ceuster | FWD | 80% | 70 |
| Jeslynn Kuijpers | MID | 78% | 63 |
| Ioanna Papatheodorou | FWD | 73% | 59 |
| Julie Biesmans | MID | 69% | 60 |
| Sterre Gielen | DEF | 69% | 62 |
| Agathe Ollivier | DEF | 61% | 57 |
Paris FC (W) predicted line-up — away to Real Madrid (W)
Our model's most likely starting eleven for Matchday 4, 2026-11-10 18:45, ranked by how likely each player is to start. These are projections, not a confirmed team sheet — they move as team news and press conferences land.
| Player | Pos | Chance of starting | Projected minutes |
|---|---|---|---|
| Kaja Korosec | MID | 98% | 83 |
| Célina Hocine | DEF | 98% | 86 |
| Clara Mateo | MID | 97% | 81 |
| Anaële Le Moguédec | MID | 97% | 78 |
| Théa Greboval | DEF | 97% | 80 |
| Melween N'Dongala | DEF | 96% | 80 |
| Évelyne Viens | FWD | 96% | 79 |
| Mariam Toloba | MID | 94% | 73 |
| Maeline Mendy | MID | 94% | 72 |
| Kinga Seweryn | GK | 94% | 84 |
| Kenza Roche-Dufour | MID | 91% | 68 |
Paris Saint Germain (W) predicted line-up — home to Bayern München (W)
Our model's most likely starting eleven for Matchday 4, 2026-11-10 21:00, ranked by how likely each player is to start. These are projections, not a confirmed team sheet — they move as team news and press conferences land.
| Player | Pos | Chance of starting | Projected minutes |
|---|---|---|---|
| Sakina Karchaoui | MID | 95% | 79 |
| Jennifer Echegini | MID | 95% | 76 |
| Thiniba Samoura | DEF | 93% | 79 |
| Griedge Mbock Bathy Nka | DEF | 93% | 81 |
| Isabela Chagas | DEF | 93% | 75 |
| Naomie Feller | FWD | 91% | 73 |
| Jackie Groenen | MID | 91% | 78 |
| Emilie Libakken Østeras | MID | 91% | 73 |
| Olga Carmona | DEF | 89% | 77 |
| Oliwia Szperkowska | GK | 87% | 79 |
| Léa-Laëtitia Morissaint | FWD | 85% | 68 |
Real Madrid (W) predicted line-up — home to Paris FC (W)
Our model's most likely starting eleven for Matchday 4, 2026-11-10 18:45, ranked by how likely each player is to start. These are projections, not a confirmed team sheet — they move as team news and press conferences land.
| Player | Pos | Chance of starting | Projected minutes |
|---|---|---|---|
| Merle Frohms | GK | 95% | 85 |
| Elisa Senss | MID | 90% | 76 |
| Felicia Schröder | FWD | 89% | 70 |
| Arianna Caruso | MID | 88% | 72 |
| Eva Navarro | DEF | 88% | 71 |
| Maëlle Lakrar | DEF | 87% | 76 |
| Andreia Jacinto | MID | 87% | 70 |
| Linda Caicedo | MID | 87% | 71 |
| Bella Andersson | DEF | 85% | 74 |
| Athenea | MID | 80% | 66 |
| Janou Levels | DEF | 77% | 66 |
Roma (W) predicted line-up — home to Servette (W)
Our model's most likely starting eleven for Matchday 4, 2026-11-10 21:00, ranked by how likely each player is to start. These are projections, not a confirmed team sheet — they move as team news and press conferences land.
| Player | Pos | Chance of starting | Projected minutes |
|---|---|---|---|
| Manuela Giugliano | MID | 81% | 69 |
| Giada Greggi | MID | 79% | 70 |
| Rachele Baldi | GK | 76% | 69 |
| Elisabetta Oliviero | DEF | 74% | 58 |
| Shukurat Oladipo | DEF | 74% | 67 |
| Frederikke Thøgersen | MID | 74% | 65 |
| Annalena Rieke | MID | 69% | 59 |
| Valentina Bergamaschi | DEF | 59% | 58 |
| Maya Antoine | DEF | 56% | 51 |
| Martina Piemonte | FWD | 55% | 45 |
| Giada Cimò | MID | 52% | 42 |
Servette (W) predicted line-up — away to Roma (W)
Our model's most likely starting eleven for Matchday 4, 2026-11-10 21:00, ranked by how likely each player is to start. These are projections, not a confirmed team sheet — they move as team news and press conferences land.
| Player | Pos | Chance of starting | Projected minutes |
|---|---|---|---|
| Jacintha Weimar | GK | 99% | 89 |
| Noémie Carage | DEF | 94% | 74 |
| Laia Ballesté | DEF | 88% | 76 |
| Natasha Andonova | MID | 88% | 69 |
| Meriame Terchoun | FWD | 86% | 68 |
| Benedicte Simon | DEF | 78% | 68 |
| Daina Bourma | DEF | 75% | 64 |
| Magdalena Sobal | FWD | 75% | 61 |
| Amina Muratovic | DEF | 75% | 61 |
| Laura Strik | MID | 65% | 55 |
| Mickaëlla Cardia | FWD | 50% | 52 |
Why predicted lineups matter
A great pick is worthless on the bench. Predicted lineups help you back nailed-on starters and dodge rotation traps before deadlines.
- Likely starting XI per team
- Rotation and injury risk flags
- Updated as team news is confirmed
How our predicted lineups are built
Most predicted lineups are one person's guess, published and never checked. Ours start from many independent sources per competition, and every one of them is scored afterwards against the eleven players who actually walked out - so a source earns its influence from its record in that specific league rather than from its reputation.
Sources that publish near-identical XIs are grouped and share a single vote, so an outlet copying another does not get counted twice. The output is a chance of starting for each player rather than a flat list of eleven names, and that percentage is what feeds projected minutes and predicted points.
- Many sources per league, scored against the real XI after every match
- Weighted by measured accuracy in that specific competition
- Sources that mirror each other share one vote instead of counting twice
- A start percentage per player, not a flat eleven-name team sheet
- Replaced by the confirmed XI when the official team sheet lands
Frequently asked questions
How accurate are UWCL Fantasy predicted lineups?
Every source we read is scored against the eleven players who actually started, and weighted on its record in that competition - so accuracy differs by league, and the per-league measurements are published in our guide to how predicted lineups are made. Whatever the league, accuracy rises as kick-off approaches and official team news lands: a predicted XI with one or two names off is the normal case, not a failure.
When are lineups updated?
Throughout the build-up to each round, and again when confirmed XIs are released before kick-off.
What does the starting percentage next to each UWCL Fantasy player mean?
It is that player's chance of being in the starting eleven, not a yes-or-no call. A player at 95% and a player at 60% both appear in an eleven-name list and are completely different propositions for a captaincy decision - and the percentage is what feeds his projected minutes and predicted points on this site.