# Monza vs Catanzaro > Serie B · Kickoff Fri 29 May 2026, 18:00 UTC · [Canonical HTML](https://betsprinter.com/fixtures/36972) **Status:** Finished **Final score:** Monza 0–2 Catanzaro ## Model verdict - **Monza win:** 58% - **Draw:** 30% - **Catanzaro win:** 12% - **Source:** model ## Pre-match deep dive ### Clear-cut home edge but goals look likeliest outcome ## The stage Friday’s Serie B fixture kicks off at 18:00 UTC on 29 May 2026, a timed closing-week contest that carries the usual league consequences for both sides[^fact-1]. The modelling framework gives the home side a dominant probability: Home 68% / Draw 23% / Away 9%[^fact-2]. Three market lines were compared against the model for this game[^fact-12]. ## Form & momentum Recent results point to a gap in consistency. Monza arrive with a five-wins, four-draws, one-loss record over their last ten matches (5-4-1) and are averaging 1.90 points per game in that window[^fact-4]. Monza’s attacking and defensive averages in the same run sit at 1.80 goals scored and 1.00 conceded per match[^fact-4]. Catanzaro’s last ten read LLWWL, a 3-3-4 split (W-D-L) that equates to 1.20 points per game in this sample[^fact-5]. Catanzaro’s recent scanning shows 1.80 goals scored and 1.60 conceded per match[^fact-5]. Elo-based metrics widen the gulf further: with home advantage applied the Elo differential is +227 in favour of Monza[^fact-3]. That Elo edge and Monza’s superior points-per-game in the recent run combine to explain why the model’s preferred result is the home win by a very high margin[^fact-2][^fact-3][^fact-4]. ## Personnel Monza’s attacking rhythm has a recognizable focal point: Patrick Cutrone has two goals and one assist in his last five appearances, carrying an average match rating of 7.23 in that run[^fact-8]. That profile matches Monza’s higher goal average over the recent sample[^fact-4][^fact-8]. Catanzaro counterweights rely on Pietro Iemmello, who has three goals and one assist across his last four appearances with a 7.41 average rating[^fact-9]. Iemmello’s productivity explains much of Catanzaro’s 1.80 goals-per-match figure in the recent window[^fact-5][^fact-9]. Availability alters context. Monza will be without Pedro Obiang through suspension; Obiang logged 506 minutes in the recent run and his absence removes a substantial chunk of recent minutes from the midfield mix[^fact-10]. Catanzaro are missing Alphadjo Cissè due to injury, a named absence the model counts into selection and probability outputs[^fact-11]. Both absences are included within the model’s probabilities and the match-up assessment[^fact-2][^fact-10][^fact-11]. ## Where the model sees value The model flags two clear value propositions versus current market pricing. First, Over 2.5 goals: the model assigns a 67% probability to over 2.5 goals while the market price at Sbo is 1.81, representing a model-market edge of 12.0 percentage points and a high-confidence signal[^fact-6]. This aligns with the two teams’ recent goal rates — Monza 1.80 scored and Catanzaro 1.80 scored in their latest ten-match samples — which together support a game that can breach the 2.5 threshold[^fact-4][^fact-5][^fact-6]. Second, Both Teams to Score (Yes): the model gives BTTS a 65% likelihood while the market offers 1.73 at Unibet, producing an edge of 7.2 percentage points with mid confidence[^fact-7]. That pick is coherent with both sides averaging goals scored in the 1.80 range across their recent runs and Catanzaro’s higher conceded rate of 1.60 per match, which raises the chance of both sides finding the net[^fact-4][^fact-5][^fact-7]. Both value calls were arrived at after comparing three market lines to the model’s outputs for this fixture[^fact-12]. The model’s home-win probability remains the primary signal, but the goal-focused edges identify alternative ways the market underprices this particular match shape[^fact-2][^fact-6][^fact-7]. ## Verdict The model leans decisively to the home side, with a Home 68% probability and a wide confidence gap to the runner-up outcome, but it also highlights gamesmanship in the totals and BTTS markets: a match that looks set up for goals and contributions from Cutrone and Iemmello, tempered by the absences of Pedro Obiang and Alphadjo Cissè[^fact-2][^fact-8][^fact-9][^fact-10][^fact-11]. ### Cited facts [^fact-1]: **Kickoff** — Fri 29 May 2026, 18:00 UTC — Serie B [^fact-2]: **Model verdict** — Home 68% / Draw 23% / Away 9% (source: model; confidence high, 45 pp gap to runner-up). [^fact-3]: **Elo edge** — MON vs CAT — Elo differential +227 points (with home advantage applied). [^fact-4]: **MON recent form** — WWDDL last 10: 5-4-1 (W-D-L), 1.90 PPG, 1.80 goals scored / 1.00 conceded per match. [^fact-5]: **CAT recent form** — LLWWL last 10: 3-3-4 (W-D-L), 1.20 PPG, 1.80 goals scored / 1.60 conceded per match. [^fact-6]: **Value pick #1** — Over in Goals O/U 2.5 — model 67% vs market price 1.81 at Sbo, edge 12.0 pp (high confidence). [^fact-7]: **Value pick #2** — Yes in Both Teams to Score — model 65% vs market price 1.73 at Unibet, edge 7.2 pp (mid confidence). [^fact-8]: **MON in-form player** — Patrick Cutrone — 2 goals, 1 assists in last 5 appearances, avg rating 7.23. [^fact-9]: **CAT in-form player** — Pietro Iemmello — 3 goals, 1 assists in last 4 appearances, avg rating 7.41. [^fact-10]: **MON key absence** — Pedro Obiang out (suspension), 506 minutes in recent run. [^fact-11]: **CAT key absence** — Alphadjo Cissè out (injury). [^fact-12]: **Markets analysed** — 3 market(s) compared against the model. --- Methodology: . Canonical HTML: .