# Bologna vs Inter > Serie A · Kickoff Sat 23 May 2026, 16:00 UTC · [Canonical HTML](https://betsprinter.com/fixtures/1020) **Status:** Scheduled ## Model verdict - **Bologna win:** 12% - **Draw:** 18% - **Inter win:** 70% - **Source:** model ## Pre-match deep dive ### Inter overwhelming favorites as Bologna chase improbable home upset ## The stage This fixture lands on Sat 23 May 2026, 16:00 UTC in Serie A — the last stretch where points remain precious for positioning and pride[^fact-1]. The basic framing is simple: one side is a clear statistical favorite and the other must rely on coherence rather than momentum to pull off anything unexpected[^fact-2]. ## Form & momentum Recent sequences paint a sharp contrast. Bologna have collected 5 wins, 1 draw and 4 defeats in their last 10, producing 1.60 points per game and averaging 1.00 goals scored while conceding 1.10 per match[^fact-4]. Inter arrive on a materially better run with 7 wins and 3 draws from their last 10, averaging 2.40 points per game and scoring 2.60 goals while conceding 1.10 per match[^fact-5]. The calibrated quality gap is also large on Elo: after home advantage is applied the differential stands at -173 points in favor of Inter, an objective indication that the visitors are the stronger side on form and underlying metrics[^fact-3]. The model’s matchup verdict reflects that gap emphatically: Home 12% / Draw 18% / Away 70% — a 52 percentage-point edge to the runner-up and a clear signal of confidence in Inter[^fact-2]. ## Personnel Bologna’s most notable recent attacking contributor is Riccardo Orsolini, who has 2 goals, 0 assists in his last 5 appearances and an average rating of 7.05 in that span[^fact-6]. That output is an important channel for Bologna’s chance creation given their modest scoring rate over the recent run[^fact-4]. However, Bologna are missing João Mário through injury; he has logged 458 minutes in the recent run and his absence removes a creative presence from their rotation[^fact-8]. On paper, Inter’s attacking form has been fuelled by Marcus Thuram, who registered 3 goals and 1 assist in his last 4 appearances with an average rating of 7.24[^fact-7]. That said, Marcus Thuram is listed as out injured, having been involved for 675 minutes in the recent run prior to his absence — a double-edged fact that pairs clear recent impact with current unavailability[^fact-9]. The balance of recent appearances and the listed absences matter more than raw reputation: Bologna’s goal numbers sit at 1.00 per match recently while Inter’s are 2.60 per match, and both sides concede roughly 1.10 per match, meaning the swing is almost entirely at the attacking end[^fact-4][^fact-5]. ## Where the model sees value The model makes a decisive call: Away 70%, Draw 18%, Home 12%[^fact-2]. Markets analysed number three in total against the model’s output, so this is a focused comparison rather than a broad-brush sweep[^fact-10]. That concentration sharpens the mismatch: the model’s 70% away probability sits well above any neutral prior implied by the head-to-head Elo gap of -173 points after home adjustment[^fact-3][^fact-2]. Value discussion should start from the asymmetry in goal production: Inter’s 2.60 goals per match in the recent run versus Bologna’s 1.00 suggests the model’s heavy lean toward the away side is tied to superior scoring power rather than defensive frailty, since both sides concede 1.10 per match[^fact-5][^fact-4]. The absence of João Mário on Bologna’s side removes a creator who played 458 minutes in the recent run, while Inter’s attacking ledger is complicated by Marcus Thuram’s prior output and current unavailability (3 goals, 1 assist in his last 4; currently out after 675 minutes in the run)[^fact-6][^fact-8][^fact-7][^fact-9]. Those two personnel notes temper the raw percentage gap but do not erase it in the model’s calculus: the model still assigns a 70% probability to the away outcome, a 52 percentage-point lead over the runner-up and thus the primary signal for where the statistical edge lies[^fact-2]. The market comparison covered three markets against that view[^fact-10]. ## Verdict The model leans heavily to the away side — 70% — driven by a clear Elo advantage and substantially superior recent attacking output from Inter, while Bologna’s recent form and Orsolini’s contributions are respectable but insufficient on the numbers alone; absences on both sides are material but do not bridge a -173 Elo gap after home adjustment[^fact-2][^fact-3][^fact-5][^fact-4][^fact-6][^fact-8][^fact-7][^fact-9]. ### Cited facts [^fact-1]: **Kickoff** — Sat 23 May 2026, 16:00 UTC — Serie A [^fact-2]: **Model verdict** — Home 12% / Draw 18% / Away 70% (source: model; confidence high, 52 pp gap to runner-up). [^fact-3]: **Elo edge** — BOL vs INT — Elo differential -173 points (with home advantage applied). [^fact-4]: **BOL recent form** — WWDLL last 10: 5-1-4 (W-D-L), 1.60 PPG, 1.00 goals scored / 1.10 conceded per match. [^fact-5]: **INT recent form** — DWWWD last 10: 7-3-0 (W-D-L), 2.40 PPG, 2.60 goals scored / 1.10 conceded per match. [^fact-6]: **BOL in-form player** — Riccardo Orsolini — 2 goals, 0 assists in last 5 appearances, avg rating 7.05. [^fact-7]: **INT in-form player** — Marcus Thuram — 3 goals, 1 assists in last 4 appearances, avg rating 7.24. [^fact-8]: **BOL key absence** — João Mário out (injury), 458 minutes in recent run. [^fact-9]: **INT key absence** — Marcus Thuram out (injury), 675 minutes in recent run. [^fact-10]: **Markets analysed** — 3 market(s) compared against the model. --- Methodology: . Canonical HTML: .