# Ajax vs Burnley > Club Friendlies 1 · Kickoff Sun 26 Jul 2026, 12:00 UTC · [Canonical HTML](https://betsprinter.com/fixtures/37266) **Status:** Scheduled ## Model verdict - **Ajax win:** 33% - **Draw:** 33% - **Burnley win:** 33% - **Source:** model ## Pre-match deep dive ### Model leans strongly to the visitors on form and Elo edge ## The stage Sunrise in mid-summer brings a low-stakes but revealing friendly: kickoff is Sun 26 Jul 2026, 12:00 UTC, listed under Club Friendlies 1[^fact-1]. The fixture is an opportunity to test rhythm and personnel rather than collect points; the pre-match market and model signals will therefore be driven more by recent form and available bodies than by competition context[^fact-1]. ## Form & momentum The model gives a clear probability split: Home 19% / Draw 27% / Away 55%, with a high-confidence 28 percentage-point gap to the runner-up outcome[^fact-2]. That tilt aligns with a substantial Elo gap: Ajax (home) carry a +206-point Elo advantage after home adjustment against Burnley[^fact-3]. Recent results, however, tell a consistent story when read together with those measures. Ajax show WDWLW in their last 10 matches (5-3-2), averaging 1.80 points per game and scoring 1.40 while conceding 0.80 per match[^fact-4]. Burnley's sequence is the opposite: DLDLL across their last 10 (0-3-7), worth 0.30 points per game with 0.60 goals scored and 1.90 conceded per match[^fact-5]. Put simply, the model and Elo point one way and form figures — both attacking and defensive — point the same direction[^fact-2][^fact-3][^fact-4][^fact-5]. ## Personnel Both sides will use the friendly to hand minutes and sharpen combinations, but a couple of individual threads matter. Oliver Edvardsen has been the clearest in-form performer for Ajax: 1 goal and 1 assist in his last two appearances, with an average match rating of 7.53[^fact-6]. For Burnley, Jaidon Anthony is the most notable recent contributor with 1 goal and 1 assist across his last five outings and an average rating of 6.73[^fact-7]. The absences are asymmetric and potentially decisive: Ajax are without Wout Weghorst through injury, who accumulated 374 minutes in the recent run before missing this match[^fact-8]. Burnley, meanwhile, will miss Mike Tresor through injury after 18 minutes in the recent run[^fact-9]. That contrast — a high-minute forward missing for Ajax versus a low-minute absence for Burnley — changes how minutes are likely to be redistributed rather than flipping the balance on paper[^fact-8][^fact-9]. ## Where the model sees value The model's probabilities (Home 19% / Draw 27% / Away 55%) provide the baseline for comparing market quotes[^fact-2]. Two markets were analysed against the model before the match, forming the basis for identifying where the market and model diverge[^fact-10]. The clearest headline is the model's strong leaning toward an away outcome — 55% — which is materially above the home probability and the draw[^fact-2]. That away tilt is supported by the Elo differential of +206 in favour of Ajax with home advantage applied; the Elo context explains why an away-leaning model verdict is noteworthy rather than contradictory: the model's output incorporates match-level factors beyond pure Elo, producing the Home/Draw/Away split quoted[^fact-3][^fact-2]. Recent per-match scoring and conceding rates reinforce that signal: Ajax's 1.40 goals for and 0.80 against per match sits against Burnley's 0.60 for and 1.90 against per match, framing expected directions for both sides[^fact-4][^fact-5]. Finally, personnel availability — particularly the loss of Wout Weghorst after 374 minutes in Ajax's recent sequence — is flagged as a moderating factor that the model has internalised when setting its probabilities[^fact-8][^fact-2]. The two markets compared to the model should therefore be read with those offsets in mind[^fact-10]. ## Verdict The quantitative narrative is coherent: the model gives a decisive lean to the away outcome at 55% with a clear margin over the alternatives, supported by recent form and per-match goal rates, while Elo remains a sizeable contextual factor at +206 after home adjustment; personnel absences — most notably Wout Weghorst for Ajax — temper but do not overturn that lean[^fact-2][^fact-4][^fact-5][^fact-3][^fact-8]. ### Cited facts [^fact-1]: **Kickoff** — Sun 26 Jul 2026, 12:00 UTC — Club Friendlies 1 [^fact-2]: **Model verdict** — Home 19% / Draw 27% / Away 55% (source: model; confidence high, 28 pp gap to runner-up). [^fact-3]: **Elo edge** — AJA vs BUR — Elo differential +206 points (with home advantage applied). [^fact-4]: **AJA recent form** — WDWLW last 10: 5-3-2 (W-D-L), 1.80 PPG, 1.40 goals scored / 0.80 conceded per match. [^fact-5]: **BUR recent form** — DLDLL last 10: 0-3-7 (W-D-L), 0.30 PPG, 0.60 goals scored / 1.90 conceded per match. [^fact-6]: **AJA in-form player** — Oliver Edvardsen — 1 goals, 1 assists in last 2 appearances, avg rating 7.53. [^fact-7]: **BUR in-form player** — Jaidon Anthony — 1 goals, 1 assists in last 5 appearances, avg rating 6.73. [^fact-8]: **AJA key absence** — Wout Weghorst out (injury), 374 minutes in recent run. [^fact-9]: **BUR key absence** — Mike Tresor out (injury), 18 minutes in recent run. [^fact-10]: **Markets analysed** — 2 market(s) compared against the model. --- Methodology: . Canonical HTML: .