# Ghana vs Panama > World Cup · Kickoff Wed 17 Jun 2026, 23:00 UTC · [Canonical HTML](https://betsprinter.com/fixtures/36955) **Status:** Finished **Final score:** Ghana 1–0 Panama ## Model verdict - **Ghana win:** 71% - **Draw:** 19% - **Panama win:** 11% - **Source:** model ## Pre-match deep dive ### Heavy home favourite backed by big Elo and model edge ## The stage This is a World Cup group fixture kicking off on Wed 17 Jun 2026, 23:00 UTC[^fact-1]. The match carries the simple weight of three points in a short tournament window; the model treats the home side as a clear favourite[^fact-2]. ## Form & momentum Recent form points in opposite directions. The visitors arrive on a two-match winning sequence recorded as W-W in the last two fixtures, averaging 3.00 points per game and scoring 3.00 goals while conceding 1.00 per match in that run[^fact-4]. The home side enjoys a substantive structural advantage: the model gives the home outcome a 71% chance versus 11% for the away win, a 60 percentage-point gap between the two outcomes and a 52 percentage-point confidence cushion to the runner-up probability[^fact-2]. That probabilistic tilt is reinforced by a +100 Elo differential in favour of the home team once home advantage is applied[^fact-3]. Taken together, the data portray a classic holiday-contrast: Panama[^fact-4] arrive on short-form momentum, but the home side carries a sizable underlying rating edge and a dominant model projection[^fact-3][^fact-2]. ## Personnel On-paper personnel notes from the supplied facts are minimal. Panama's recent attacking form is visible in the numbers: three goals scored across the two most recent matches, yielding a 3.00 goals-per-match rate in that sample[^fact-4]. That statistical hotspot constitutes the clearest in-form spotlight available from the facts supplied[^fact-4]. By contrast, detailed names, lineups or absences for the home side are not included in the provided dataset; the only identifiable team-level detail for both sides in the facts is the Elo differential that favours the home nation[^fact-3]. Any deeper personnel reading therefore must be deferred to sources beyond the supplied facts. ## Where the model sees value The model identifies a sharply priced market edge on the home match-winner. The model probability for Home is 70% in the specific market comparison cited, versus a market price of 2.29 at 1xBet, producing a model-market edge of 26.4 percentage points on that selection (high confidence)[^fact-5]. Across three markets analysed against the model, the home selection stands out as the primary value gap identified by the dataset[^fact-6]. Those are the explicit market-versus-model numbers available: a dominant model view at the match level and a concrete single-market mispricing on the home match-winner with the 2.29 price point noted[^fact-2][^fact-5][^fact-6]. ## Verdict The model leans decisively to the home side (Home 71% / Draw 19% / Away 11%), supported by a +100 Elo edge applied for home advantage and a clear market value dislocation on the home match-winner in the analysed markets[^fact-2][^fact-3][^fact-5]. ### Cited facts [^fact-1]: **Kickoff** — Wed 17 Jun 2026, 23:00 UTC — World Cup [^fact-2]: **Model verdict** — Home 71% / Draw 19% / Away 11% (source: model; confidence high, 52 pp gap to runner-up). [^fact-3]: **Elo edge** — GHA vs PAN — Elo differential +100 points (with home advantage applied). [^fact-4]: **PAN recent form** — WW last 2: 2-0-0 (W-D-L), 3.00 PPG, 3.00 goals scored / 1.00 conceded per match. [^fact-5]: **Value pick #1** — Home in Match Winner — model 70% vs market price 2.29 at 1xbet, edge 26.4 pp (high confidence). [^fact-6]: **Markets analysed** — 3 market(s) compared against the model. --- Methodology: . Canonical HTML: .