# Falkirk vs Rangers > Premiership · Kickoff Sat 16 May 2026, 11:30 UTC · [Canonical HTML](https://betsprinter.com/fixtures/845) **Status:** Finished **Final score:** Falkirk 2–5 Rangers ## Model verdict - **Falkirk win:** 8% - **Draw:** 85% - **Rangers win:** 7% - **Source:** model ## Pre-match deep dive ### Model Favors a Draw; Goals Market Looks Most Attractive ## The stage This is a late-season Premiership fixture kicking off on Sat 16 May 2026 at 11:30 UTC, a match that sits on the calendar with obvious short-term implications for both sides given the timing of the season[^fact-1]. The model assigns a dominant probability to a draw, framing expectations before a ball is kicked[^fact-2]. ## Form & momentum Recent results point to two teams with issues at both ends. Falkirk arrive with a last-10 sequence of LLWLL, recorded as 3 wins, 1 draw and 6 losses, yielding 1.00 points per game and averaging 1.60 goals scored and 2.20 conceded per match[^fact-4]. Rangers’ recent numbers are not far superior: LLLLW in the last 10 and listed as 4 wins, 2 draws and 4 losses, producing 1.40 points per game while averaging 2.40 goals scored and 2.00 conceded[^fact-5]. Elo still gives Rangers an edge even after home advantage is applied: the differential sits at -94 in the Falkirk v RAN comparison, which quantifies a clear rating gap in favour of the visitors[^fact-3]. Despite that Elo tilt, the predictive model’s output is strikingly drawn to parity — the model’s calibrated probabilities put the match as 8% home, 85% draw and 7% away[^fact-2]. That combination — inferior Elo but a heavy draw probability from the model — signals a contest the algorithms expect to be tight and low-decider rather than a straightforward mismatch[^fact-2][^fact-3]. ## Personnel Falkirk’s most notable recent attacking influence is Ben Broggio, who has contributed 2 goals and 1 assist across his last five appearances and carries an average match rating of 6.82 in that run[^fact-9]. For the visitors, Youssef Chermiti is the most in-form figure cited by the model’s inputs, with 3 goals and 1 assist across his last five and an average rating of 7.33[^fact-10]. Those individual outputs help explain why the match is expected to feature goal threats from both benches despite mixed team form[^fact-9][^fact-10]. Rangers will also be managing the absence of Ryan Naderi, who is listed out injured after 322 minutes in the recent run; that availability hole is noted among the model inputs as a meaningful personnel change for the away side[^fact-11]. No other named absences are provided in the supplied facts, so attention should centre on how the listed in-form players and that single named absence alter attacking balance[^fact-9][^fact-10][^fact-11]. ## Where the model sees value Three market comparisons were analysed against the model, and they point to clear edges to exploit in the markets under review[^fact-12]. - Over 2.5 goals: the model prices this outcome at 75% while the market price on Unibet is 1.58, producing an edge of 11.3 percentage points and flagged with high confidence by the model[^fact-6]. Given both teams’ goals-for and goals-against rates, the model’s high probability for goals is internally consistent with the supplied numbers[^fact-4][^fact-5][^fact-6]. - Both teams to score (BTTS): the model gives a 71% chance versus a market price of 1.53 at bet365, an edge of 6.0 percentage points and described with mid confidence[^fact-7]. The individual forward form lines for Broggio and Chermiti provide context for a BTTS lean despite mixed defensive records for both sides[^fact-9][^fact-10][^fact-7]. - Away match winner: the model assigns a 55% probability to an away win compared with a market price of 1.93 at Dafabet, yielding a smaller edge of 3.4 percentage points and carrying low confidence in the model’s assessment[^fact-8]. This contrasts with the model’s headline allocation which heavily favours a draw, so the away-win edge should be treated as the least certain of the three flagged opportunities[^fact-2][^fact-8]. All three flagged markets derive from the same model run and were compared across three markets in total against available market prices[^fact-12]. The strongest single edge in probability terms is the Over 2.5 goals line, where the model’s confidence is labelled as high[^fact-6]. ## Verdict The model’s aggregate view is unequivocal: this is overwhelmingly a draw prospect on its probability front, with the match priced 8% home, 85% draw and 7% away, and the model’s confidence gap to the runner-up outcome is substantial[^fact-2]. Practical market value sits elsewhere — chiefly in the goals markets and BTTS where the model detects notable edges relative to quoted prices[^fact-6][^fact-7][^fact-8]. ### Cited facts [^fact-1]: **Kickoff** — Sat 16 May 2026, 11:30 UTC — Premiership [^fact-2]: **Model verdict** — Home 8% / Draw 85% / Away 7% (source: model; confidence high, 77 pp gap to runner-up). [^fact-3]: **Elo edge** — Falkirk vs RAN — Elo differential -94 points (with home advantage applied). [^fact-4]: **Falkirk recent form** — LLWLL last 10: 3-1-6 (W-D-L), 1.00 PPG, 1.60 goals scored / 2.20 conceded per match. [^fact-5]: **RAN recent form** — LLLLW last 10: 4-2-4 (W-D-L), 1.40 PPG, 2.40 goals scored / 2.00 conceded per match. [^fact-6]: **Value pick #1** — Over in Goals O/U 2.5 — model 75% vs market price 1.58 at Unibet, edge 11.3 pp (high confidence). [^fact-7]: **Value pick #2** — Yes in Both Teams to Score — model 71% vs market price 1.53 at bet365, edge 6.0 pp (mid confidence). [^fact-8]: **Value pick #3** — Away in Match Winner — model 55% vs market price 1.93 at Dafabet, edge 3.4 pp (low confidence). [^fact-9]: **Falkirk in-form player** — Ben Broggio — 2 goals, 1 assists in last 5 appearances, avg rating 6.82. [^fact-10]: **RAN in-form player** — Youssef Chermiti — 3 goals, 1 assists in last 5 appearances, avg rating 7.33. [^fact-11]: **RAN key absence** — Ryan Naderi out (injury), 322 minutes in recent run. [^fact-12]: **Markets analysed** — 3 market(s) compared against the model. --- Methodology: . Canonical HTML: .