Coritiba Predictions
AI-powered match predictions, accuracy tracking, and bookmaker consensus comparisons.
📊 Past Predictions (latest 6)
Flamengo dominated Coritiba on home soil to secure a comprehensive 3-0 victory, though the margin of victory was ultimately steeper than our pre-match model anticipated. Samuel Lino set the tone early, opening the scoring in the 11th minute with an assist from Pedro, establishing Flamengo's attacking intent from kickoff. The decisive moment came in the 36th minute when Coritiba's Pedro Rocha received a red card, reducing the visitors to ten men and fundamentally shifting the match's complexion. Flamengo capitalized on their numerical advantage, with Pedro doubling the lead in the 60th minute—Lino returning the favor with the assist—before Lino sealed the result in the 70th minute, this time assisted by Ayrton Lucas.
Our prediction of a 3-1 scoreline proved directionally sound but missed the defensive solidity Flamengo would display. The 71% win probability for the home side reflected their title-race positioning and superior home form, factors that held up across the ninety minutes. However, we'd flagged Both Teams to Score as supported by Coritiba's away-scoring record and projected xG totals; the red card fundamentally altered Coritiba's capacity to threaten, leaving them unable to capitalize on their occasional chances. Flamengo's 50% home win rate and 1.6 goals-per-game average proved conservative given how comprehensively they controlled proceedings once reduced to ten men.
The result underscores how in-match events—particularly disciplinary decisions—can reshape pre-match statistical expectations. Our model captured Flamengo's likelihood of victory but underestimated the degree to which losing Pedro Rocha would neuter Coritiba's attacking threat and allow the hosts to operate with increased freedom.
Coritiba's 3-2 victory over Bahia proved to be a more eventful affair than our pre-match model anticipated. The hosts broke through in the 26th minute when Tiago Coser's own goal handed them an early lead, before Bruno Melo extended their advantage with a second-half strike in the 56th minute, assisted by Josue. What could have been a controlled performance unraveled when J. Lavega added a third goal in the 65th minute, and Breno Lopes made it four minutes later with Lavega providing the assist. Bahia mounted a late comeback through Everaldo in the 90th minute—set up by Everton Ribeiro—but it proved insufficient to alter the outcome.
Our prediction of a 2-1 Coritiba win called the result direction correctly but underestimated the goal tally. The model's emphasis on both teams' defensive vulnerabilities and Bahia's propensity to concede away from home held up reasonably well; Coritiba's home form and attacking capability ultimately prevailed. However, we missed the degree to which Bahia would struggle defensively, particularly in the second half, where three goals in quick succession dismantled any prospect of the low-scoring contest we'd modeled. The own goal early on also disrupted what would have been a more conventional attacking sequence. Coritiba's ability to capitalize on defensive lapses and maintain pressure proved the decisive factor, even if the scoreline itself deviated from our forecast.
Coritiba and Internacional played out a four-goal thriller that defied the pre-match script, with neither side able to convert late momentum into victory. Coritiba struck first through Jeferson Lavega in the 28th minute following Josué's assist, but Internacional equalized through Rafael Borre in the 69th. The home side reclaimed the lead when Rodrigo Moledo capitalized on Tinga's work in the 84th minute, only for Fernando Torres to level the match in the 90th and ensure a 2-2 draw.
Our model predicted a 1-1 scoreline with a 45 percent draw probability, correctly identifying the result direction but missing the actual goal tally by one. The prediction leaned on several factors that partially held: the H2H average of 2.6 goals per game did prove prophetic in suggesting more than two total goals were plausible, while both teams' mid-table positioning and lack of playoff pressure aligned with the eventual stalemate. The draw outcome itself validated the underlying logic around low motivation and squad disruptions affecting both sides. However, we underestimated Internacional's resilience on the road—their recent form (DWWW away) suggested attacking capability that manifested through Borre and Torres, even if the goals came later than expected.
The match unfolded as a relatively open affair despite pre-match projections of caution. Coritiba's setup proved effective in the first half but Internacional's late-game adjustments produced two goals in quick succession to secure a point. For a mid-table clash with minimal consequences, the result offered more entertainment value than either team's underlying form suggested.
Vitoria dismantled Coritiba 4-1 in a match that unfolded in two distinct halves, the second defined entirely by a numerical disadvantage that proved decisive. René's 15th-minute opener set the tone for Vitoria's dominance, and Ze Vitor's 28th-minute finish appeared to be steering toward the predicted 2-0 scoreline. But a red card to Coritiba's Tiago Cóser in the 26th minute proved the inflection point. Pedro Rocha pulled one back just before halftime to keep Coritiba breathing, yet the ten-man visiting side crumbled after the break. Tarzia's 55th-minute strike and Erick's 61st-minute penalty sealed a comprehensive home victory that our model simply did not anticipate.
Our pre-match prediction of 2-0 correctly identified Vitoria as the likely winner—we assigned them 68 percent win probability—but materially underestimated the margin. The prediction flagged Coritiba's inconsistent away form and low attacking threat as reasons to expect a tight game, factors that held partly true until the sending-off tilted the contest irreversibly. The red card was the variable our model could not forecast. We noted in our reasoning that both sides occupied mid-table positions with limited motivation, and that historical matchups between them had favored low-scoring affairs; that context made a 2-0 outcome seem reasonable. Instead, the match followed a familiar script: numerical advantage begetting attacking space, and a defensive side unable to absorb the pressure.
The result highlights a consistent limitation in our approach. Single-match predictions struggle with binary events—red cards, injuries, tactical shifts—that can fundamentally reshape a game's trajectory. Vitoria's win direction was sound. The magnitude was not.
Gremio secured a 1-0 victory over Coritiba at home, with Gabriel Mec's 43rd-minute finish proving decisive in a match shaped by two red cards and Coritiba's numerical disadvantage. The breakthrough came from J. Enamorado's assist as the hosts pressed their advantage following Bruno Melo's 30th-minute dismissal. A second Coritiba red card to Jacy Maranhão deep into stoppage time reflected a match that increasingly tilted toward Gremio once the visitors were reduced to ten men.
Our model predicted a 2-1 Gremio win with 59% win probability, correctly identifying the direction of the result but missing the final scoreline. The call was anchored by several factors that largely held: Gremio's motivation from their precarious position near the relegation zone, their dominant home form, and a head-to-head history favoring high-scoring encounters. However, we overestimated both teams' attacking output. Our prediction leaned on Coritiba's away scoring record and Gremio's attacking xG of 2.98, but the disciplinary chaos disrupted the expected attacking flow—particularly once Coritiba lost Melo in the first half.
The prediction captured Gremio's structural edge and their likely dominance, validated by their ability to convert chances and control proceedings from that point forward. What we misjudged was the extent to which a man disadvantage for most of the second half would compress both teams' offensive play rather than simply expanding Gremio's attacking volume. The result underlines how effectively a reduction in numbers can suppress the attacking patterns that individual xG metrics might otherwise suggest.
Coritiba produced a dominant home performance to defeat Atletico-MG 2-0, with Breno Lopes opening the scoring in the seventh minute before Pedro Rocha sealed the victory in the 58th. The match unfolded largely as a controlled affair for the hosts, who established early control and maintained it throughout. The closing stages saw both teams reduced to ten men following late red cards for Renato Marques and Renan Lodi, though by that point the contest had already been decided.
Our pre-match model predicted a 1-0 Coritiba victory, correctly identifying the winner but underestimating the home side's margin of control. The prediction was directionally accurate in backing Coritiba, though the actual scoreline revealed a more convincing performance than the model had anticipated. With Atletico-MG unable to generate sustained attacking threat despite their status as one of the league's stronger sides, Coritiba's ability to both create decisive moments early and maintain structural discipline proved decisive. The second goal arriving in the second half demonstrated their capacity to capitalize on dominance rather than simply defending a slender lead.
The dual red cards in injury time offered little drama given the match was already beyond reach, though they may carry consequences for both clubs in upcoming fixtures. For Coritiba, the 2-0 win represents a significant result against a challenging opponent and validates their approach to the match. The outcome serves as a reminder that predicting exact scorelines remains inherently difficult in football, even when directional calls prove sound.