# Catanzaro vs Monza > Serie B · Kickoff Sun 24 May 2026, 18:00 UTC · [Canonical HTML](https://betsprinter.com/fixtures/36971) **Status:** Live ## Model verdict - **Catanzaro win:** 31% - **Draw:** 34% - **Monza win:** 35% - **Source:** model ## Top published picks | Market | Selection | Best odds | Bookmaker | Model % | Edge | | --- | --- | ---: | --- | ---: | ---: | | totals | Over | 2.00 | Pinnacle | 65% | +15.1 pp | | btts | Yes | 1.73 | Betfair | 67% | +9.1 pp | ## Pre-match deep dive ### Slim margins and goals: model splits edge to the visitors ## The stage Kickoff is scheduled for Sun 24 May 2026, 18:00 UTC in Serie B[^fact-1]. This fixture pits the home side Catanzaro[^fact-3] against Monza[^fact-3] with league positioning implications implied by the timing in late May[^fact-1]. ## Form & momentum Recent runs paint two sides on different trajectories. Catanzaro’s last 10 matches read LWWLL in the W‑D‑L compact form, a 3‑4‑3 summary and an average of 1.30 points per game, scoring 1.90 and conceding 1.50 per match[^fact-4]. Monza arrive with a WDDLW sequence, annotated 4‑5‑1 in W‑D‑L terms, generating 1.70 points per game while scoring 1.60 and conceding 1.00 on average[^fact-5]. The model gives Monza the slimmest advantage in the 1‑match probabilities: away 35%, draw 34%, home 31% — a low‑confidence spread with just a one percentage‑point gap to the runner‑up call[^fact-2]. Elo favours the visitors once home advantage is applied: Catanzaro vs Monza shows an Elo differential of +20 points to the away side after that adjustment[^fact-3]. That small Elo edge aligns with the model’s narrow tilt toward Monza[^fact-2], and the defensive numbers suggest Monza’s recent concession rate (1.00 per match) is the cleaner figure compared with Catanzaro’s 1.50[^fact-5][^fact-4]. ## Personnel Catanzaro’s attacking heat comes through Pietro Iemmello, who has three goals and one assist across his last three appearances and an average rating of 7.66 in that run[^fact-8]. Monza’s frontline threat is Patrick Cutrone, with two goals and one assist in his last five appearances and a 7.03 average rating in that span[^fact-9]. Availability shifts matter: Catanzaro will be without Alphadjo Cissè due to injury[^fact-10]. Monza are missing Pedro Obiang through suspension, and he has logged 490 minutes in the recent run prior to his absence[^fact-11]. Those absences remove a specific influence on each side and are the heaviest named losses reported for this match[^fact-10][^fact-11]. ## Where the model sees value The model identifies two clear value edges against market prices across the three markets analysed[^fact-12]. First, Over 2.5 goals is modelled at 65% probability versus a market price implied around 50% (price 2.00 at Pinnacle), translating to an edge of 15.1 percentage points and flagged with high confidence[^fact-6]. Second, Both Teams to Score (Yes) is modelled at 67% probability against a market price represented by 1.73 at Betfair, an edge of 9.1 percentage points and likewise high confidence[^fact-7]. Both signals point to a match profile where goals from both sides — and a finale clearing 2.5 goals — are credible outcomes under the model’s view[^fact-6][^fact-7]. Those market edges sit logically next to the on‑pitch data: Catanzaro’s 1.90 goals scored per match and Monza’s 1.60 suggest attacking output from both units, while Catanzaro’s 1.50 concessions and Monza’s 1.00 concessions imply that neither defence is invulnerable[^fact-4][^fact-5]. The model therefore finds statistical room for both teams to score and for totals to pass the 2.5 threshold[^fact-6][^fact-7]. All market comparisons are drawn from three markets the model explicitly analysed[^fact-12]. ## Verdict The model leans marginally to the away side—Monza—with a 35% chance, trailed by draw 34% and home 31%, but the confidence on that split is low and the margins are tight[^fact-2]. Elo also favors the visitors by +20 points after home adjustment[^fact-3]. The stronger takeaway is a match likely to produce goals from both teams and a genuine chance of clearing 2.5 goals, where the model reports high‑confidence edges versus the available market prices[^fact-6][^fact-7][^fact-12]. ### Cited facts [^fact-1]: **Kickoff** — Sun 24 May 2026, 18:00 UTC — Serie B [^fact-2]: **Model verdict** — Home 31% / Draw 34% / Away 35% (source: model; confidence low, 1 pp gap to runner-up). [^fact-3]: **Elo edge** — CAT vs MON — Elo differential +20 points (with home advantage applied). [^fact-4]: **CAT recent form** — LWWLL last 10: 3-4-3 (W-D-L), 1.30 PPG, 1.90 goals scored / 1.50 conceded per match. [^fact-5]: **MON recent form** — WDDLW last 10: 4-5-1 (W-D-L), 1.70 PPG, 1.60 goals scored / 1.00 conceded per match. [^fact-6]: **Value pick #1** — Over in Goals O/U 2.5 — model 65% vs market price 2.00 at Pinnacle, edge 15.1 pp (high confidence). [^fact-7]: **Value pick #2** — Yes in Both Teams to Score — model 67% vs market price 1.73 at Betfair, edge 9.1 pp (high confidence). [^fact-8]: **CAT in-form player** — Pietro Iemmello — 3 goals, 1 assists in last 3 appearances, avg rating 7.66. [^fact-9]: **MON in-form player** — Patrick Cutrone — 2 goals, 1 assists in last 5 appearances, avg rating 7.03. [^fact-10]: **CAT key absence** — Alphadjo Cissè out (injury). [^fact-11]: **MON key absence** — Pedro Obiang out (suspension), 490 minutes in recent run. [^fact-12]: **Markets analysed** — 3 market(s) compared against the model. --- Methodology: . Canonical HTML: .