🏴󠁧󠁢󠁥󠁮󠁧󠁿Englandvs🇬🇭Ghana

England arrive with elite underlying numbers from qualifying and the group stage, averaging roughly **2.3–2.5 goals per game** and allowing under **0.9 xG against** per 90 in competitive fixtures under Tuchel, while Ghana’s Black Stars have punched above their talent base with around **2.1–2.3 goals scored per game** and a defense trending closer to **1.2 xG conceded**. Both teams drew 0-0 in their group meeting in Boston, where England had **78% possession**, outshot Ghana **18–4**, and generated the bulk of the xG in a game modeled at **2.4 expected goals total**, highlighting England’s territorial dominance against Ghana’s low block and counter approach. Tuchel’s likely **4-2-3-1** or **3-4-2-1** will revolve around Harry Kane (World Cup: multiple goals plus team‑leading xG and shots, and historically >0.6 goals/90 across major tournaments), flanked or backed up by **Ivan Toney** and **Ollie Watkins** (both coming in off double‑digit league goal seasons and strong non‑penalty xG contributions), against a Ghana side that will sit in a compact **4-3-3/4-5-1**, relying on **Iñaki Williams** (La Liga double‑digit goals, high progressive runs), **Christopher Baah** (chance‑creation and dribbling threat from wide), and **Caleb Yirenkyi** to exploit transitions. Decisive matchups will be Kane/Toney/Watkins attacking Ghana’s center-backs on crosses and set plays (England typically >6 corners and around 0.3–0.4 xG from set pieces per match in this cycle) versus Ghana’s zonal marking unit that has delivered multiple clean sheets but conceded a high volume of shots, plus Baah and Williams running at England’s advanced fullbacks/wing‑backs, where Ghana’s direct attacks produced several of their few shots in the 0-0 group game despite only **22% possession**. England’s pressing data show a higher PPDA and more high regains than Ghana, but Ghana’s compactness in Boston restricted England to a low shot quality profile, suggesting this will again come down to whether England can convert a likely xG edge of roughly **1.6–1.0** into actual goals, and whether Ghana can maintain their defensive efficiency while being clinical on limited chances. Historically the sides are dead even – a **1-1 friendly in 2011** and the **0-0 in 2026** – so the stat profile for this knockout rematch points to England controlling territory and chance volume, with set pieces and England’s finishing variance versus Ghana’s transition efficiency as the primary statistical levers deciding whether the 79% no‑vig win probability holds.