# Roma vs Lazio > Serie A · Kickoff Sun 17 May 2026, 10:00 UTC · [Canonical HTML](https://betsprinter.com/fixtures/892) **Status:** Finished **Final score:** Roma 2–0 Lazio ## Model verdict - **Roma win:** 70% - **Draw:** 17% - **Lazio win:** 13% - **Source:** model ## Pre-match deep dive ### Home advantage and form tilt point to a clear favourite ## The stage This fixture kicks off on Sun 17 May 2026 at 10:00 UTC in Serie A[^fact-1]. The model gives a commanding home probability of 70%, with a draw at 17% and the away win at 13%, and notes a high-confidence gap of 53 percentage points to the runner-up[^fact-2]. That balance frames this as a match where market and model convergence on a single favourite matters more than marginal tactical curiosities[^fact-2]. ## Form & momentum Roma arrive with a recent sequence of WWWDW across the last 10 matches and a 5-2-3 W-D-L split, collecting 1.70 points per game while scoring 2.10 and conceding 1.50 on average per match[^fact-4]. Lazio’s last 10 read LLWDW but the same 5-2-3 record in W-D-L terms, yielding the same 1.70 PPG though with a lower goals-for of 1.30 and goals-against of 1.20 per match[^fact-5]. On raw Elo, Roma carry a +220-point edge once home advantage is applied[^fact-3]. Combining those signals produces a clear picture: the hosts have the structural advantage in ratings and the slightly sharper attacking output in recent games, while Lazio’s defensive numbers are a touch tighter but not enough to offset the overall Elo gulf[^fact-3][^fact-4][^fact-5]. ## Personnel For Roma, the standout in recent form is Donyell Malen, who has 6 goals and 2 assists across his last five appearances and an average rating of 7.75 in that span[^fact-9]. That scoring spike is a central reason Roma’s goals-per-game number sits at 2.10 over the sample[^fact-4][^fact-9]. Lazio’s in-form figure appears in Toma Bašić, with 1 goal, 1 assist and a 6.92 average rating in his last five outings[^fact-10]. Availability notes matter: Roma will be without Zeki Çelik through injury after 713 minutes in the recent run[^fact-11], while Lazio are missing Edoardo Motta, who accounted for 900 minutes in the same period[^fact-12]. Both absences remove regular minutes from each side, but the model’s home advantage and Elo differential imply Roma’s depth can better absorb that loss[^fact-3][^fact-11][^fact-12]. ## Where the model sees value The model identifies three primary edges versus the market across three markets analysed[^fact-13]: - Match winner — Home: model 69% vs market price 1.60 at CloudBet, edge 6.9 percentage points (mid confidence)[^fact-6]. This sits tightly with the model’s own 70% home verdict and the large Elo advantage[^fact-2][^fact-3][^fact-6]. - Goals O/U 2.5 — Under: model 54% vs market price 2.00 at 1xbet, edge 4.4 percentage points (low confidence)[^fact-7]. The under case is supported by Lazio’s lower goals-for but sits in tension with Roma’s 2.10 scoring rate[^fact-4][^fact-5][^fact-7]. - Goals O/U 2.5 — Over: model 55% vs market price 1.95 at Sbo, edge 4.2 percentage points (low confidence)[^fact-8]. The over case leans on Roma’s recent attacking numbers and Malen’s scoring burst[^fact-4][^fact-9][^fact-8]. These edges reflect three market lines compared against the model’s output[^fact-13]. The clearest and most robust discrepancy is the home match-winner edge, which aligns with the model’s 70% home probability and the +220 Elo gap[^fact-2][^fact-3][^fact-6]. The two goals-market edges point in opposite directions (under and over) and carry lower confidence scores, signalling model uncertainty around match tempo and finishing rather than the basic result[^fact-7][^fact-8]. ## Verdict The model leans decisively to the home side, driven by a 70% probability and a +220 Elo differential that survives both teams’ similar recent point returns and the absence of key defenders[^fact-2][^fact-3][^fact-4][^fact-5][^fact-11][^fact-12]. The single strongest market discrepancy is the home match-winner price at CloudBet, while goals markets show low-confidence splits that counsel caution in extrapolating goal volume from form alone[^fact-6][^fact-7][^fact-8][^fact-13]. ### Cited facts [^fact-1]: **Kickoff** — Sun 17 May 2026, 10:00 UTC — Serie A [^fact-2]: **Model verdict** — Home 70% / Draw 17% / Away 13% (source: model; confidence high, 53 pp gap to runner-up). [^fact-3]: **Elo edge** — ROM vs LAZ — Elo differential +220 points (with home advantage applied). [^fact-4]: **ROM recent form** — WWWDW last 10: 5-2-3 (W-D-L), 1.70 PPG, 2.10 goals scored / 1.50 conceded per match. [^fact-5]: **LAZ recent form** — LLWDW last 10: 5-2-3 (W-D-L), 1.70 PPG, 1.30 goals scored / 1.20 conceded per match. [^fact-6]: **Value pick #1** — Home in Match Winner — model 69% vs market price 1.60 at CloudBet, edge 6.9 pp (mid confidence). [^fact-7]: **Value pick #2** — Under in Goals O/U 2.5 — model 54% vs market price 2.00 at 1xbet, edge 4.4 pp (low confidence). [^fact-8]: **Value pick #3** — Over in Goals O/U 2.5 — model 55% vs market price 1.95 at Sbo, edge 4.2 pp (low confidence). [^fact-9]: **ROM in-form player** — Donyell Malen — 6 goals, 2 assists in last 5 appearances, avg rating 7.75. [^fact-10]: **LAZ in-form player** — Toma Bašić — 1 goals, 1 assists in last 5 appearances, avg rating 6.92. [^fact-11]: **ROM key absence** — Zeki Çelik out (injury), 713 minutes in recent run. [^fact-12]: **LAZ key absence** — Edoardo Motta out (injury), 900 minutes in recent run. [^fact-13]: **Markets analysed** — 3 market(s) compared against the model. --- Methodology: . Canonical HTML: .