UWCL Differentials Matchday 3: Best Low-Owned Picks
Our model's best UWCL differential for Matchday 3 is Alyssa Thompson (Chelsea (W)), at home to Roma (W): 7.5 predicted points at 1.0% ownership.
A differential here is any UWCL player owned by fewer than 10% of managers. Below are the 10 with the most predicted points for Matchday 3, then the best five in each position. Ownership tells you how many rivals you gain on if he returns; start chance and minutes tell you how likely he is to play. The predictions are recomputed through the day as odds and team news land, and the page always shows the current matchday.
Best UWCL differentials for Matchday 3 (under 10% owned)
| # | Player | Pos | Club | Fixture | pP | Start % | pMins | Owned |
|---|---|---|---|---|---|---|---|---|
| 1 | Alyssa Thompson | MID | Chelsea (W) | Roma (W) (H) | 7.5 | 82% | 71 | 1.0% |
| 2 | Lily Isabella Yohannes | MID | OL Lyonnes (W) | Inter (W) (H) | 5.9 | 86% | 71 | 9.0% |
| 3 | Ellie Carpenter | DEF | Chelsea (W) | Roma (W) (H) | 5.5 | 94% | 82 | 2.0% |
| 4 | Wieke Kaptein | MID | Chelsea (W) | Roma (W) (H) | 5.1 | 90% | 74 | <0.1% |
| 5 | Lucy Bronze | DEF | Chelsea (W) | Roma (W) (H) | 5.0 | 91% | 80 | 2.0% |
| 6 | Sjoeke Nüsken | MID | Chelsea (W) | Roma (W) (H) | 5.0 | 83% | 66 | <0.1% |
| 7 | Felicia Schröder | FWD | Real Madrid (W) | Bayern München (W) (A) | 4.9 | 93% | 73 | 1.0% |
| 8 | Linda Caicedo | MID | Real Madrid (W) | Bayern München (W) (A) | 4.9 | 90% | 74 | 2.0% |
| 9 | Melvine Malard | FWD | Chelsea (W) | Roma (W) (H) | 4.8 | 81% | 61 | <0.1% |
| 10 | Tarciane | DEF | OL Lyonnes (W) | Inter (W) (H) | 4.7 | 82% | 72 | 6.0% |
pP = predicted points for Matchday 3. Start % = our probability he starts; pMins = projected minutes; Owned = share of UWCL managers who own him.
Projections last updated 2026-10-12 07:13 UTC.
Differential goalkeepers
| Player | Pos | Club | Fixture | pP | Start % | pMins | Owned |
|---|---|---|---|---|---|---|---|
| Hannah Hampton | GK | Chelsea (W) | Roma (W) (H) | 4.2 | 100% | 89 | 2.0% |
| Gemma Font | GK | Barcelona (W) | HB Køge (W) (A) | 3.8 | 99% | 89 | 1.0% |
| Daniëlle de Jong | GK | Juventus (W) | Austria Wien W (W) (A) | 3.7 | 99% | 89 | <0.1% |
| Maria Grohs | GK | OL Lyonnes (W) | Inter (W) (H) | 3.7 | 96% | 87 | 2.0% |
| Myléne Chavas | GK | Paris FC (W) | BK Häcken (W) (H) | 3.7 | 99% | 89 | 4.0% |
Differential defenders
| Player | Pos | Club | Fixture | pP | Start % | pMins | Owned |
|---|---|---|---|---|---|---|---|
| Ellie Carpenter | DEF | Chelsea (W) | Roma (W) (H) | 5.5 | 94% | 82 | 2.0% |
| Lucy Bronze | DEF | Chelsea (W) | Roma (W) (H) | 5.0 | 91% | 80 | 2.0% |
| Tarciane | DEF | OL Lyonnes (W) | Inter (W) (H) | 4.7 | 82% | 72 | 6.0% |
| Estela Carbonell | DEF | Juventus (W) | Austria Wien W (W) (A) | 4.1 | 87% | 71 | <0.1% |
| Kadeisha Buchanan | DEF | Chelsea (W) | Roma (W) (H) | 4.1 | 82% | 71 | <0.1% |
Differential midfielders
| Player | Pos | Club | Fixture | pP | Start % | pMins | Owned |
|---|---|---|---|---|---|---|---|
| Alyssa Thompson | MID | Chelsea (W) | Roma (W) (H) | 7.5 | 82% | 71 | 1.0% |
| Lily Isabella Yohannes | MID | OL Lyonnes (W) | Inter (W) (H) | 5.9 | 86% | 71 | 9.0% |
| Wieke Kaptein | MID | Chelsea (W) | Roma (W) (H) | 5.1 | 90% | 74 | <0.1% |
| Sjoeke Nüsken | MID | Chelsea (W) | Roma (W) (H) | 5.0 | 83% | 66 | <0.1% |
| Linda Caicedo | MID | Real Madrid (W) | Bayern München (W) (A) | 4.9 | 90% | 74 | 2.0% |
Differential forwards
| Player | Pos | Club | Fixture | pP | Start % | pMins | Owned |
|---|---|---|---|---|---|---|---|
| Felicia Schröder | FWD | Real Madrid (W) | Bayern München (W) (A) | 4.9 | 93% | 73 | 1.0% |
| Melvine Malard | FWD | Chelsea (W) | Roma (W) (H) | 4.8 | 81% | 61 | <0.1% |
| Marie-Antoinette Katoto | FWD | OL Lyonnes (W) | Inter (W) (H) | 4.4 | 84% | 64 | 2.0% |
| Meriame Terchoun | FWD | Servette (W) | Oud Heverlee Leuven (W) (H) | 4.3 | 93% | 75 | <0.1% |
| Kadhiya De Ceuster | FWD | Oud Heverlee Leuven (W) | Servette (W) (A) | 4.1 | 90% | 75 | <0.1% |
Frequently asked questions
Who are the best UWCL differentials for Matchday 3?
By predicted points among players owned by fewer than 10% of managers: Alyssa Thompson (7.5 pts, 1.0% owned), Lily Isabella Yohannes (5.9 pts, 9.0% owned), Ellie Carpenter (5.5 pts, 2.0% owned).
What is a differential in UWCL?
A player few of your rivals own - on this page, under 10% ownership. When he scores you gain on almost everyone; when the popular pick scores instead, you lose ground. That makes differentials most useful when you are chasing.
How often is this list updated?
Continuously - predicted points and ownership are refreshed through the day. The last update was 12 Oct 2026, 07:13 UTC.