# Jordan vs Algeria > World Cup · Kickoff Tue 23 Jun 2026, 03:00 UTC · [Canonical HTML](https://betsprinter.com/fixtures/36986) **Status:** Finished **Final score:** Jordan 1–2 Algeria ## Model verdict - **Jordan win:** 61% - **Draw:** 16% - **Algeria win:** 23% - **Source:** model ## Pre-match deep dive ### Home side holds clear statistical edge; expect a tight game ## The stage This World Cup fixture kicks off on Tue 23 Jun 2026 at 03:00 UTC, a match that sits squarely on the calendar as one of the tournament’s early tests for both sides[^fact-1]. The scheduled kickoff time places it in a competitive slot where match tempo and squad rotation can be decisive[^fact-1]. ## Form & momentum Recent competitive form offers an unambiguous starting point: both teams arrive off identical short-term records of one match without a win — recorded as W-D-L in the last one-game snapshot, yielding 0.00 points per game for each side[^fact-4][^fact-5]. The goals data in those same samples show a divergence only in raw output: the home side averaged 1.00 goals scored and conceded 3.00 per match in that period[^fact-4], while the visitor averaged 0.00 goals scored and conceded 3.00 per match[^fact-5]. Beyond the short-term numbers, the quantitative gap tilts heavily toward the home side on rating platforms: the Elo differential, with home advantage applied, stands at +103 points in their favour[^fact-3]. That Elo edge is material enough to influence expectations and underpins the model’s probability split, which gives the home side a 61% chance, the draw 16%, and the away side 23%[^fact-2]. The model’s verdict carries a high-confidence annotation and a 38 percentage-point gap back to the runner-up outcome — a sizeable margin in probabilistic terms[^fact-2]. ## Personnel On the offensive ledger, the home side’s recent leading performer is Ali Olwan, who has one goal in his last appearance and an average match rating of 7.39 in that sample[^fact-7]. The visiting side’s top recent performer listed is Farès Chaïbi, who registered a 7.31 average rating in his last appearance but recorded no goals or assists in that same game[^fact-8]. No additional squad availability or suspension information is provided in the supplied facts, so concrete claims about absences or rotation cannot be made here; readers should treat any such rumours as outside the supplied dataset and therefore outside this analysis.[^fact-4][^fact-5] ## Where the model sees value The model pinpoints one market edge compared with available prices: an Under on Goals O/U 2.5 is preferred by the model at 54% probability versus a market price of 1.97 at Pinnacle, producing an edge of 3.6 percentage points (low confidence) according to the supplied comparison[^fact-6]. That view is consistent with the match signals: low short-term scoring from both sides in the recent snapshot — 1.00 and 0.00 goals scored per match respectively — and the identical concession rate shown in the last appearance for both teams (3.00 conceded) point to a contest where goals could be scarce or clustered into an unrepresentative sample[^fact-4][^fact-5]. The model compared three markets against public prices in this analysis, with the Under 2.5 flagged as the leading quantitative discrepancy between model and market[^fact-9][^fact-6]. The model’s high-confidence match-outcome split (61% home) coexists with a modest preference for a lower-scoring game, which is not contradictory: a controlled home win with limited chances fits both signals[^fact-2][^fact-6]. ## Verdict The model leans decisively to the home side — 61% probability versus 23% for the visitor and 16% for a draw — driven by a +103 Elo edge with home advantage applied and corroborated by recent player-level form notes for the leading contributors[^fact-2][^fact-3][^fact-7][^fact-8]. The secondary model impulse is toward a lower total (Under 2.5), where a modest market edge exists but carries low confidence[^fact-6][^fact-9]. ### Cited facts [^fact-1]: **Kickoff** — Tue 23 Jun 2026, 03:00 UTC — World Cup [^fact-2]: **Model verdict** — Home 61% / Draw 16% / Away 23% (source: model; confidence high, 38 pp gap to runner-up). [^fact-3]: **Elo edge** — JOR vs ALG — Elo differential +103 points (with home advantage applied). [^fact-4]: **JOR recent form** — L last 1: 0-0-1 (W-D-L), 0.00 PPG, 1.00 goals scored / 3.00 conceded per match. [^fact-5]: **ALG recent form** — L last 1: 0-0-1 (W-D-L), 0.00 PPG, 0.00 goals scored / 3.00 conceded per match. [^fact-6]: **Value pick #1** — Under in Goals O/U 2.5 — model 54% vs market price 1.97 at Pinnacle, edge 3.6 pp (low confidence). [^fact-7]: **JOR in-form player** — Ali Olwan — 1 goals, 0 assists in last 1 appearances, avg rating 7.39. [^fact-8]: **ALG in-form player** — Farès Chaïbi — 0 goals, 0 assists in last 1 appearances, avg rating 7.31. [^fact-9]: **Markets analysed** — 3 market(s) compared against the model. --- Methodology: . Canonical HTML: .