Boost indicates the points advantage gained from picking a player, relative to the rest of the field. It depends on both how many points the player scored and how common the pick was. A high-scoring player chosen by very few others earns the highest Boost — rewarding a bold, correct pick. The Boost is small when a player scored few points, or when the pick was widely shared across the field.

Boost indicates the points disadvantage suffered by not picking a player, relative to the rest of the field. It depends on both how many points the player scored and how common the pick was. A high-scoring player chosen by almost everyone carries the largest negative Boost for those who missed them. The negative Boost is small when a player scored few points or was rarely picked by others.

Boost indicates the points advantage or disadvantage on each golden boot pick, relative to the rest of the field. It depends on both how many points the player scored and how common the pick was. A high positive Boost reflects a high-scoring player that few others chose — a bold, correct pick. A large negative Boost on an omission reflects a high-scoring player that was widely picked — costly to have missed.

Golden Boot Picks

Top 5 Costliest Omissions

Edge shows how an entrant's points on a match compared to everyone else's. A high positive Edge — up to a maximum of +1 — means the entrant correctly predicted a result that most other entrants got wrong. A negative Edge — down to a minimum of −1 — means the entrant got a result wrong that almost everyone else got right. A score close to 0 means the prediction was in line with the rest of the field.

Edge shows how an entrant's points on a match compared to everyone else's. A high positive Edge — up to a maximum of +1 — means the entrant correctly predicted a result that most other entrants got wrong. A negative Edge — down to a minimum of −1 — means the entrant got a result wrong that almost everyone else got right. A score close to 0 means the prediction was in line with the rest of the field.

Edge shows how an entrant's points on a match compared to everyone else's. A high positive Edge — up to a maximum of +1 — means the entrant correctly predicted a result that most other entrants got wrong. A negative Edge — down to a minimum of −1 — means the entrant got a result wrong that almost everyone else got right. A score close to 0 means the prediction was in line with the rest of the field.