Sweden Predictions
AI-powered match predictions, accuracy tracking, and bookmaker consensus comparisons.
📊 Past Predictions (latest 8)
France put on a dominant display to dispatch Sweden 3-0 in this World Cup group-stage fixture. Kylian Mbappé opened the scoring before the break, assisted by Ousmane Dembélé, and then Sweden's task became impossible after Barcola added a second just after the hour mark, set up by Mathéo Olise. Mbappé sealed it with a second goal late on, again from an Olise assist, to secure a commanding victory.
Our model leaned toward France with 86% win probability but predicted a 3-1 scoreline, so we got the result direction spot on but missed on the exact finish. The pre-match data strongly favored France—superior recent form, a sharp home record against Sweden, and a quality gulf that showed in the team's attacking average—and the match unfolded pretty much in line with that. Sweden came with mixed recent form and faced the kind of deficit that tournament football punishes hard. What swung the margin in France's favor was a cleaner defensive performance than we'd weighted; Sweden simply didn't find the net despite the pressure of needing a win to stay alive.
It's a solid outcome for our model's direction call, though missing the shut-out shows how fine the margins are. France's attacking depth—Mbappé, Barcola, and Olise all chipping in across the ninety minutes—proved decisive, and Sweden couldn't fashion the goals needed to make it interesting. Job done for France; no surprises in how the favorite moved through the group stage.
Japan and Sweden played out a 1-1 draw in what turned into a tight, competitive affair. Japan struck first through Maeda in the 56th minute, assisted by Doan, but Sweden hit back just six minutes later when Elanga equalised with help from Gyökeres. That leveller proved decisive—neither side could find a winner, and the match ended level.
Our model had backed Japan at 63% to win and predicted a 2-1 scoreline, which meant a draw sat at just 20% of our pre-match probability. It didn't pan out. Before kickoff, Japan's form and the ELO gap pointed toward a comfortable home win, and we'd weighted the prediction toward goals and a Japan victory accordingly. The match didn't follow that script—Sweden showed resilience, Japan couldn't convert their early dominance into three points, and a single goal apiece was the actual outcome. It's a reminder that even when the underlying factors favour one team, football's built-in variability means lower-probability results still happen.
The draw leaves both sides with something from the game, though Japan will likely feel they left points on the table after going ahead. For our model, it's a clean miss on the result direction—we called a Japan win and got a stalemate instead.
Netherlands dismantled Sweden 5-1 in a dominant World Cup group-stage display that exposed the gulf in quality between the two sides. The hosts established control early, with Brobbey converting twice in the opening quarter-hour—first from Gakpo's assist in the fifth minute, then from Dumfries's cross twelve minutes later. Gakpo then added two goals of his own, the first in the 47th minute from Dumfries's delivery and the second seven minutes later courtesy of Summerville's pass, to effectively decide the contest well before the closing stages. Sweden's sole response came through Elanga in the 59th minute, assisted by Isak, but it served only as consolation. Summerville wrapped up the scoring in the 89th minute, finishing an assist from Depay.
Our model predicted a 2-1 Netherlands victory, assigning the win a 64 percent probability—a confident but not overwhelming lean toward the designated home side. The result direction proved correct, yet the scoreline diverged sharply from expectation. The pre-match analysis had flagged Netherlands' quality advantage and home-ground strength alongside Sweden's inexperience in away competition, factoring these into a forecast built on the historical pattern of low-scoring meetings between the sides. What emerged instead was a comprehensive performance that reflected the fixture's stakes at tournament level and the scale of the gap between the teams. The model's more conservative estimate suggested closer margins than the 5-1 rout that unfolded, underweighting the possibility of such emphatic dominance despite having correctly identified Netherlands as clear favorites.
Sweden dismantled Tunisia 5-1 in a dominant World Cup opener that bore little resemblance to our pre-match forecast. Ayari opened the scoring in the seventh minute, then Isak doubled Sweden's lead with an assist from Gyokeres in the 30th. Tunisia briefly threatened a comeback when Rekik pulled one back with help from Mejbri just before halftime, but Sweden's superiority proved decisive. Gyokeres extended the lead in the 59th with Isak assisting, Svanberg added a fourth in the 84th from another Isak setup, and Ayari sealed the rout in stoppage time with Bergvall providing the assist.
Our model predicted a 1-1 draw with a 27% probability assigned to that outcome—a lean among plausible results rather than a confident call. Sweden's win probability stood at 52%, meaning the model leaned toward a Swedish victory without forecasting this margin. The pre-match analysis flagged Tunisia's severe attacking drought and both teams' recent low-scoring trends, reasoning that early-tournament caution and limited preparation time would keep the game tight. Sweden's xG of 1.42 and Tunisia's 0.12 average goals were read as indicators of a constrained affair. None of that accounted for the clinical finishing on display or Tunisia's defensive collapse in the second half.
This result sits well outside the model's expected range. While the prediction correctly identified Sweden as the favored outcome, the scoreline reflects a performance level the data didn't anticipate—a sharp reminder that tournament football, even in opening matches, can diverge sharply from pre-competition metrics.