Crawley Town vs Salford City: match statistics

I predict an away win for Salford, who sit 4th in the table versus Crawley in 22nd, with 25 wins this season compared to the hosts' 8. In their last 5 matches Salford are 3-1-1, scoring 6 and conceding 3; Crawley in their last 5 are 1-2-2, also scoring 6 but conceding 8. Crawley’s home ball possession (60%), higher average xG 1.54 versus Salford’s 1.42 away, and 4.5 shots on target per game vs 3.91 favor the hosts; they also have a lower share of goalless matches (23% vs 32%), which increases their chances of taking a point. However Salford are more efficient in finishing (10% shot conversion vs 8% for Crawley), have a superior season goal differential 61-51 and have conceded only 3 goals in their last 5 compared to the hosts’ 8, with away conceded average 1.23 vs Crawley’s home 1.27. Considering table position, conversion rate (10%) and recent form (Salford ~2 points per game in last 5 vs Crawley ~1), I give the visitors the higher probability, although Crawley’s high home draw rate (41%) raises the likelihood of a stalemate.

Season-long metrics show Crawley scores 1.48 goals per home match and Salford 1.23 away; season BTTS rates are 48% (Crawley) and 50% (Salford), with league BTTS at 52%, yielding a neutral baseline (~49% average). A strong signal against BTTS - Yes is that Crawley have kept a clean sheet in 43% of home games, while Salford failed to score in 32% of matches — hosts therefore often keep the opponent to a No Goal, and visitors have a relatively high share of matches without scoring. In the last 5 fixtures both teams produced BTTS in only 40% of cases; additionally Crawley conceded 1.6 goals per game on average in the last 5, whereas Salford conceded only 0.6 G per game, indicating an improved Salford defense and lowering the likelihood of Goal/Goal. On the other hand xG shows Crawley generate 1.75 xG versus 1.24 xG allowed, and Salford 1.42 xG versus 1.39 xG allowed (1.75 vs 1.24 and 1.42 vs 1.39), so both sides create chances, but the dominance of clean sheets and recent BTTS trends prevails. Considering Crawley’s 43% clean sheets, Salford’s 32% matches without scoring and only 40% BTTS in the last 5, I favor the 'No' scenario with a probability of 58% vs 42% for 'Yes'.

Based on xG: the home attack xG is 1.75 while xG against Salford City is 1.39, yielding an expected ~1.57 goals for the home side; similarly the away xG is 1.42 versus xG against the home side 1.24, yielding ~1.33 goals, for a total of ~2.90. Shot and conversion stats corroborate this — hosts average 15 shots with a 10% conversion (≈1.50 goals), visitors 12.23 shots with 10% conversion (≈1.22 goals), so xG estimates and a simple conversion model are aligned. Under a Poisson distribution with λ=2.90 the probability of Over 1.5 is ~79%, Over 2.5 ~55%, and Over 3.5 ~33%. Seasonal indicators are moderate (Over2.5: 43% for hosts, 45% for visitors), and the rate of both teams scoring is 48% for hosts and 50% for visitors; additionally, the hosts have been conceding 1.6 goals on average in the last 5 matches, which raises the risk of more goals. As a result, the strongest signal from the data is a play on Over 2.5, since the expected 2.90 goals provides a practical edge against the line and the model estimates ~55% probability of hitting.

I predict a Half-Time draw with a Home win at Full-Time (X/1). Hosts drew at half in 57% of matches, while visitors led at half in 36% of their games, which together indicate an HT draw is most likely. In the second half the hosts have a clear advantage: they score on average 0.91 goals after the break versus 0.59 for the visitors, have higher xG (1.75 vs 1.42) and more shots on target (5.09 vs 3.91), which favors a turnaround. Over the full match the hosts are stronger – averaging 1.48 goals per game, 2.0 points per match and a 61% win rate for the season compared to 1.23 goals, 1.55 points and a 50% win rate for the visitors – this supports a Home win after a draw at half. Additionally the hosts keep a clean sheet at half in 78% of cases and have 43% of matches without conceding, so I assign X/1 the highest probability (approx. 32%), while 1/1 (18%) and 2/1 (14%) are considered realistic alternatives.