Statistics / Football / Italy. Serie A / AS Roma vs Lazio

AS Roma vs Lazio Statistics & Analysis

AS Roma AS Roma
May 17, 2026 - 10:00
2 1.30
0 0.93
xG Accuracy: 64%
Lazio Lazio
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Tracked markets vs full-time result

Each row compares the pre-match model lean to the full-time result.

  • Market Prediction Result Outcome
  • Over / Under 2.5 Under 2.5 Under 2.5 (2 goals) ✔ Correct
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 AS Roma AS Roma ✔ Correct
  • Correct Score Insights 1-0, 1-1, 0-0, 0-1, 2-0 2-0 ✔ Correct

Validation Report

Immutable Snapshot

Prediction Time: Aug 02, 2026 · 11:34 UTC Snapshot ID: dp-2863249

Closing Odds 1.52
AI Fair Odds —
CLV +0.0%
Final Result AS Roma win · AS Roma 2–0 Lazio
Prediction ✔ Correct
Decision Grade A

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

Market intelligence

Supporting read on how the prioritized closing feed moved versus the model — use after the Primary pick above.

Market briefing

Market remained largely stable before kickoff. No meaningful late implied-price shift was detected between PRE30 and PRE1 on the prioritized bookmaker snapshot.

Despite limited late movement, the model still prices Draw (1X2), Lazio (1X2), Under 2.5 goals meaningfully above what those closing snapshots implied — that gap is a static “model vs. price” read, not a late steam or chase story.

The model still exceeds closing implied on Under 2.5 goals by about 12.4 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
AS Roma (1X2) 43.4 63.5 -20.1
Draw (1X2) 31.6 22.4 +9.2
Lazio (1X2) 25.0 14.1 +10.9
Over 2.5 goals 38.5 50.9 -12.4
Under 2.5 goals 61.5 49.1 +12.4
What this means

In plain terms: the model lands near 61.5% on Under 2.5 goals, while the closing snapshot implied about 49.1%. The difference — about 12.4 percentage points — is the largest model-vs.-market gap highlighted on this page.

Quick definitions: “closing implied” is the probability for that outcome implied by the final captured odds (after a simple de-vig). “Gap (pp)” is the model percentage minus that implied value, in percentage points (pp).

Closing-window line move

Single prioritized bookmaker per snapshot (not all books). Capture path: PRE30 → PRE1 · Book: Pinnacle

Column tags in parentheses: Closing uses the first available snapshot in PRE1→PRE5→PRE10→PRE30; Early uses the first available in PRE30→PRE10→PRE5 that is not the same capture as Closing.

Detailed capture odds are folded below — movement was negligible on de-vig implied prices.

View full line-by-line capture table
Market Early (PRE30) Closing (PRE1) Implied Δ (pp)
AS Roma (1X2) 1.52 1.52 0.0
Draw (1X2) 4.31 4.31 0.0
Lazio (1X2) 6.84 6.84 0.0
Over 2.5 goals 1.92 1.92 0.0
Under 2.5 goals 1.99 1.99 0.0

AI match briefing

AI Match Summary

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: Serie A
  • Fixture: AS Roma vs Lazio
  • Kickoff: 2026-05-17 13:00:00
  • 1X2 (model): Home 43.4% · Draw 31.6% · Away 25.0%
  • xG (showing): AS Roma 1.3 — Lazio 0.93 (total xG ≈ 2.23)
  • Value headline: At least one tracked line reaches the headline EV threshold — align with the hero / Primary card if shown.
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 61.5% · Over 2.5 38.5%); BTTS No (Yes 45.7% · No 54.3%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS No
  • BTTS (model): Yes 45.7% · No 54.3%
  • Correct score (top bin): 1-0 (14.0%)

Saying “no value” on a snapshot is a feature, not a bug: it protects readers from forcing a play when the edge is not there.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

Historical Recommendation

Historical Decision: Wait - No Primary Bet

Outcome: Validated — Pre-match lean validated against the full-time result.

Risk Factors Considered Before Kickoff

  • Price movement: implied probabilities and EV move with odds.
  • Sample / data gaps: low-information leagues widen forecast bands.
  • In-play state: goals and red cards are not modelled here.
  • Scoreline variance: the most likely scoreline is still usually a low absolute probability outcome (often well below 20%).

Last Updated

September 29, 2026 (UTC)

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Back to Statistics
Serie A Serie A — Standings
# TEAM MP W D L PTS
1 Inter 38 27 6 5 87
2 Napoli 38 23 7 8 76
3 AS Roma 38 23 4 11 73
4 Como 38 20 11 7 71
5 AC Milan 38 20 10 8 70
6 Juventus 38 19 12 7 69
7 Atalanta 38 15 14 9 59
8 Bologna 38 16 8 14 56
9 Lazio 38 14 12 12 54
10 Udinese 38 14 8 16 50
11 Sassuolo 38 14 7 17 49
12 Torino 38 12 9 17 45
13 Parma 38 11 12 15 45
14 Cagliari 38 11 10 17 43
15 Fiorentina 38 9 15 14 42
16 Genoa 38 10 11 17 41
17 Lecce 38 10 8 20 38
18 Cremonese 38 8 10 20 34
19 Verona 38 3 12 23 21
20 Pisa 38 2 12 24 18
# TEAM MP GS GC +/- PTS
1 Inter 38 89 35 +54 87
2 Como 38 65 29 +36 71
3 Juventus 38 61 34 +27 69
4 AS Roma 38 59 31 +28 73
5 Napoli 38 58 36 +22 76
6 AC Milan 38 53 35 +18 70
7 Atalanta 38 51 36 +15 59
8 Bologna 38 49 46 +3 56
9 Sassuolo 38 46 50 -4 49
10 Udinese 38 45 48 -3 50
11 Torino 38 44 63 -19 45
12 Lazio 38 41 40 +1 54
13 Fiorentina 38 41 50 -9 42
14 Genoa 38 41 51 -10 41
15 Cagliari 38 40 53 -13 43
16 Cremonese 38 32 57 -25 34
17 Parma 38 28 46 -18 45
18 Lecce 38 28 50 -22 38
19 Pisa 38 26 71 -45 18
20 Verona 38 25 61 -36 21
# TEAM MP xG xGC +/- PTS
1 Inter 38 71.5 34.8 +36.7 87
2 Juventus 38 65.6 32.0 +33.6 69
3 Como 38 62.2 33.8 +28.4 71
4 AC Milan 38 59.6 43.3 +16.3 70
5 AS Roma 38 55.4 39.1 +16.3 73
6 Atalanta 38 57.3 42.2 +15.1 59
7 Napoli 38 49.7 36.7 +13.0 76
8 Fiorentina 38 49.8 47.5 +2.3 42
9 Bologna 38 44.0 45.8 -1.8 56
10 Lazio 38 41.0 43.5 -2.5 54
11 Genoa 38 45.1 48.8 -3.7 41
12 Torino 38 44.8 52.8 -8.0 45
13 Udinese 38 42.0 52.2 -10.2 50
14 Sassuolo 38 42.6 55.3 -12.7 49
15 Verona 38 35.7 50.4 -14.7 21
16 Cagliari 38 38.6 53.8 -15.2 43
17 Pisa 38 39.6 58.9 -19.3 18
18 Cremonese 38 35.0 57.8 -22.8 34
19 Parma 38 32.2 56.6 -24.4 45
20 Lecce 38 30.9 57.4 -26.5 38