# FC Tokyo vs Borussia Dortmund > Club Friendlies 1 · Kickoff Sat 1 Aug 2026, 10:00 UTC · [Canonical HTML](https://betsprinter.com/fixtures/37272) **Status:** Scheduled ## Pre-match deep dive ### Dortmund arrive heavy favourites with clear statistical advantages ## The stage This is an international club friendly at the Club Friendlies 1 window on Sat 1 Aug 2026, 10:00 UTC[^fact-1]. The fixture is a standalone preparation match rather than a competitive tie — the event label is Club Friendlies 1[^fact-1]. Venue details beyond the fixture label are not provided in the supplied facts. ## Form & momentum On the model’s readout, Borussia Dortmund are the overwhelming favourites: Away 75%, Draw 15%, Home 10%[^fact-2]. The model’s confidence comes with a clear margin: a 60 percentage-point gap to the runner-up implied in the odds-derived verdict[^fact-2]. That market-backed model view maps onto a substantial Elo gulf — Dortmund enjoy a 187-point advantage once home advantage is applied[^fact-3]. Recent on-pitch form for Dortmund in the supplied window is LWWWL in the last five of a ten-match sample described as the last 10: six wins, zero draws, four losses in W-D-L shorthand for an overall 6-0-4 record[^fact-4]. Over that run Dortmund average 1.80 points per game and score 1.90 goals while conceding 1.10 per match[^fact-4]. Those figures sketch a side creating more than they concede and carrying enough cutting edge to justify market confidence[^fact-4]. No complementary recent form numbers are provided for FC Tokyo in the supplied facts, so the comparative narrative must lean on Dortmund’s clear statistical footprints: Elo edge, model percentages and the recent goals/points run for Dortmund all point in the same direction[^fact-2][^fact-3][^fact-4]. ## Personnel Borussia Dortmund’s in-form attacking descriptor in the supplied facts is Serhou Guirassy, who has three goals and zero assists in his last five appearances and an average match rating of 6.79 in that span[^fact-5]. Those numbers make Guirassy the clearest individual scoring influence listed in the dossier[^fact-5]. On absences, FC Tokyo will be without Kashif Bangnagande through injury as flagged in the facts[^fact-6]. Borussia Dortmund are missing Nico Schlotterbeck to injury; the facts note Schlotterbeck logged 720 minutes in a recent run before the absence[^fact-7]. Those two names are the central personnel changes supplied and are the only participant-level unavailabilities documented here[^fact-6][^fact-7]. The supplied information does not include starting lineups, tactical setups, or further squad context, so assessment of on-field roles beyond the named players must be constrained to the documented form and absences[^fact-5][^fact-6][^fact-7]. ## Where the model sees value The raw percentages from the model place implied probability mass overwhelmingly on Dortmund at 75% while the home side sits at 10% and draws at 15%[^fact-2]. That spread, combined with an Elo differential of minus 187 for Tokyo relative to Dortmund (home advantage applied), is the primary quantitative edge the model is trading on[^fact-3][^fact-2]. Markets analysed in this comparison are limited: one market was compared against the model in the supplied facts[^fact-8]. The single-market comparison means the model’s tilt is distilled into that solitary market read rather than multiple market overlays, so any marketplace inefficiency would have to appear within that one channel to alter the model’s stance[^fact-8]. The concrete levers behind the model’s advantage are Dortmund’s scoring and points rates — 1.90 goals scored and 1.10 conceded per match across the recent sample — and the presence of a short-term goal producer in Serhou Guirassy with three goals in five games[^fact-4][^fact-5]. Those numbers are the basis for expecting Dortmund to be the dominant side in a friendly setting where rotation is possible but the data shows clear superiority[^fact-4][^fact-5][^fact-3]. Conversely, the model must discount home bias and any friendly-specific variance to keep Tokyo’s implied win probability at 10% given the 187 Elo-point deficit and the market read[^fact-3][^fact-2]. Absent additional market layers or alternative data points in the supplied facts, the single-market comparison is the only marketplace test applied here[^fact-8]. ## Verdict The model leans heavily to the away side: Dortmund are the clear pick on the numbers with 75% model probability, underpinned by a -187 Elo differential and a recent run that averages 1.80 points, 1.90 goals for and 1.10 conceded per match; Serhou Guirassy is the obvious short-term scoring influence, while Tokyo’s only documented absence is Kashif Bangnagande and Dortmund lose Nico Schlotterbeck after 720 minutes of recent action[^fact-2][^fact-3][^fact-4][^fact-5][^fact-6][^fact-7]. Markets analysed versus the model are limited to one market in the supplied facts[^fact-8]. ### Cited facts [^fact-1]: **Kickoff** — Sat 1 Aug 2026, 10:00 UTC — Club Friendlies 1 [^fact-2]: **Model verdict** — Home 10% / Draw 15% / Away 75% (source: odds; confidence high, 60 pp gap to runner-up). [^fact-3]: **Elo edge** — TOK vs BVB — Elo differential -187 points (with home advantage applied). [^fact-4]: **BVB recent form** — LWWWL last 10: 6-0-4 (W-D-L), 1.80 PPG, 1.90 goals scored / 1.10 conceded per match. [^fact-5]: **BVB in-form player** — Serhou Guirassy — 3 goals, 0 assists in last 5 appearances, avg rating 6.79. [^fact-6]: **TOK key absence** — Kashif Bangnagande out (injury). [^fact-7]: **BVB key absence** — Nico Schlotterbeck out (injury), 720 minutes in recent run. [^fact-8]: **Markets analysed** — 1 market(s) compared against the model. --- Methodology: . Canonical HTML: .