Montana vs Lokomotiv Sofia 1929: match statistics

I back the away win (Lokomotiv Sofia 1929): Lokomotiv are 11th, Montana 16th, and there is a significant offensive gap (46 goals by away team this season vs 19 for Montana; in the last 5 matches 10 vs 4). Lokomotiv have higher shot efficiency: conversion 13% vs Montana’s 7% and on average 4.19 on-target shots per away match vs 3 on-target for the home side, translating to average goals 1.38 vs 0.63. Looking at xG, the visitors have average xG for 1.36 away, while Montana’s xG for at home is 1.17, suggesting Lokomotiv create slightly better goalscoring chances. Montana have minor defensive advantages at home — concede 1.25 goals per match and have 38% clean sheets — but a high proportion of matches without scoring (44% at home) weakens their prospects. In the last 5 fixtures Lokomotiv have 1.6 points per game (record 2-2-1) vs Montana 1.2 ppg (record 1-3-1), so I assess the probabilities as: away win 60%, draw 25%, home win 15%.

Season BTTS rates are 65% for Montana and 50% for Lokomotiv, averaging ~58% and indicating a tendency for both teams to exchange goals. In the last 5 matches Lokomotiv has BTTS 80% and scored 10 goals (2.0 goals per game), while Montana has BTTS 40% and scored 4 goals (0.8 gpg), so it is mainly Lokomotiv's attacking form that increases the chances of goals from both sides. xG confirms this pattern: Montana generates 1.54 xG versus 1.62 xG that Lokomotiv typically concedes, and Lokomotiv has 1.36 xG against 1.49 xG conceded by Montana, meaning both teams create ~1.3–1.6 xG per match. Additionally Lokomotiv has scored 46 goals this season, Montana has conceded 48, and clean sheet percentages are only 24% and 25%, which reduces the likelihood of a clean sheet. Considering the average BTTS of 58%, Lokomotiv's strong attack (2.0 in the last 5) and low clean sheets, I assess BTTS probability at 70% (Yes) vs 30% (No).

A model combining xG (Montana xG_for 1.54 vs Lokomotiv xG_against 1.62; Lokomotiv xG_for 1.36 vs Montana xG_against 1.49) and seasonal averages produces a combined expected goals total of approximately 3.01 (Montana 1.58, Lokomotiv 1.43). Seasonally both sides show a tendency for goals: Montana has Over1.5 in 76% of matches and Over0.5 in 88%, Lokomotiv has Over1.5 in 69% and Over0.5 in 94%. Shooting statistics also indicate an advantage for the visitors – Lokomotiv have scored 46 goals this season versus Montana’s 19, and in the last 5 matches Lokomotiv average 2.0 goals vs Montana 0.8. Using a Poisson distribution the probability of over 1.5 goals is around 80%, over 2.5 around 58%, and over 3.5 around 35%, therefore the strongest and safest selection is Over 1.5.

I expect a draw at half-time because the average first-half goals are 0.65 for Montana and 0.63 for Lokomotiv (about 1.28 combined), and the home side have kept 100% clean halves in their last five matches, indicating a low number of first-half goals. Additionally, Montana drew 47% of their home matches, increasing the likelihood of a level score at the 45-minute mark. After the break Montana are the favorites: the hosts average 1.59 points in second halves with a 41% win rate, versus 1.06 points and 25% for Lokomotiv, so the home team more often decides the outcome after half-time. This is supported by Montana’s better quality of chances: xG 1.54 against 1.36 for the opponents, and they concede fewer expected goals against (1.49 vs 1.62). On this basis the best HT/FT pick is draw at half-time and Montana to win after 90 minutes (X/1), which I assign the highest probability to; the second most likely outcome is a draw at full-time (X/X).