Woking vs Solihull Moors: match statistics
Woking vs Solihull Moors: form, goals and key statistics
Game details
Woking played against Solihull Moors in National League (England). The game was played on April 14, 2026. Final score: 0:0.
Recent form
Woking has 1 win, 3 draws and 1 loss over its last five games, averaging 1.20 points per game. Solihull Moors has 2 wins, 2 draws and 1 loss, with 1.60 points per game.
Scoring records
Woking scores 1.53 goals per game and allows 1.23. Solihull Moors scores 1.56 and allows 1.58. Games in this league average 2.91 goals.
BTTS and goal totals
Both teams score in 56% of Woking's games and 53% of Solihull Moors's. The Over 2.5 rates are 49% and 51%, compared with league averages of 56% for BTTS and 56% for Over 2.5.
xG and shots
Solihull Moors has the higher season xG average, 1.51 to 1.38 per game. Woking takes 10.4 shots per game, while Solihull Moors takes 11.6.
First-half and second-half trends
Woking leads at halftime in 40% of its games and scores 0.88 goals per game after halftime. Solihull Moors leads at halftime in 33% and scores 0.79 after halftime.
When the teams score
Woking's most productive scoring window is minutes 76-90+ (22 goals). For Solihull Moors, it is minutes 76-90+ (15 goals). These are past scoring patterns, not predicted goal times.
League scoring profile
National League games average 2.91 goals. Both teams score in 56% of games, and 56% finish with at least three goals.
Head-to-head record
Before this game, one previous meeting was available. The record was 1 home win, 0 draws and 0 away wins. Those games averaged 3.00 goals, with both teams scoring in 0% of them.
Archived pre-match analysis
This analysis was prepared before kick-off. The conclusions use only information available before the match and do not include the final result or post-match statistics.
General match analysis
Woking holds the edge at home: the hosts average 1.76 goals per home match and boast a +12 goal difference, while Solihull score only 1.10 away on average with a -6 goal difference. Defensively Woking concede 1.19 goals per home game versus Solihull’s 1.38 away, and in xG the hosts are 1.50 to 1.38, indicating higher quality chances created. Woking also register more on-target shots (4.48 vs 3.81) and exhibit better efficiency (conversion 15% vs 10%), with the share of home matches without a goal at just 19% compared to 33% for the visitors. Recent form over the last 5 matches slightly favors Solihull (Woking: 1 win, 3 draws, 1 loss, averaging 1.2 points per game; Solihull: 2 wins, 2 draws, 1 loss, averaging 1.6 points per game), but Woking’s superiority in efficiency and home goal difference points to a tip on the home win.
View the statistical overviewBTTS - will both teams score?
I back BTTS - Yes because both teams have seasonal BTTS rates above 50%: 55% for Woking and 52% for Solihull, while the league records 56% of matches with both teams scoring. Woking score at home on average 2.0 goals with xG 1.62 and have 66 goals scored this season, whereas Solihull have conceded 68 goals this season and concede an average 1.38 goals on the road, which significantly increases the likelihood that the hosts will score. Solihull score 1.1 goals away on average and have 29% clean sheets (vs 23% for Woking), but in the last 5 matches they conceded only 0.6 goals on average with xG against of 1.45 — this suggests some degree of “luck” in the stats and a risk of correction. Additionally Woking average 5.41 shots on target with a 16% conversion, and Solihull 3.81 shots on target with 10% conversion, and in the last 5 matches the hosts had BTTS in 60% of games vs 40% for the visitors, which together favors the scenario that both sides will find the net. Considering the seasonal 55%/52% BTTS, the league 56% and Woking’s offensive edge, I assess the probability of BTTS at around 65% (vs 35%) and pick Yes.
View BTTS statisticsOver/Under - goals analysis
The combined expected goals based on xG are about 3.19 (1.63 for Woking and 1.56 for Solihull), which in a Poisson distribution translates to roughly an 83% chance of Over 1.5, 62% for Over 2.5 and 40% for Over 3.5. Woking have a seasonal goals scored average of 2.0 and 68% of matches over 2.5 goals, while averaging 12.36 shots (5.41 on target) with a 16% conversion rate; Solihull average 10.67 shots (3.81 on target) with a 10% conversion rate. Solihull concede 1.38 goals per match on average and their xG against is 1.63, which increases the likelihood of more goals in the fixture. The BTTS rate is 55% for Woking and 52% for Solihull, and the league average is 2.91 goals per match, all supporting a goals-heavy scenario. Based on this data the strongest signal is Over 2.5 (side: Over).
View Over/Under statisticsHT/FT - half-time and full-time scenario
Woking hold a clear first-half advantage: the home side average 1.05 goals by half-time versus Solihull’s 0.48, and Woking led at the break in 45% of their home matches compared to just 19% of away leads for Solihull. Overall Woking score 2.0 goals per game with an xG of 1.62, while Solihull score 1.1 with an xG of 1.38; additionally the hosts register 5.41 shots on target versus 3.81 for the visitors, reinforcing the attacking signal. There is, however, a risk of a turnaround, as Woking concede on average 1.18 goals after the break and have a negative second-half goal difference (-5), which reduces confidence in holding a lead. Weighing a 45% chance to lead HT, Woking’s higher efficiency (conversion 16% vs 10%) and the hosts’ weaker second halves, the most likely scenario is 1/1 (27%), with meaningful alternatives 1/X (9%) and 1/2 (9%) due to a 36% share of half-time draws.
View first-half and second-half statisticsStats by half
Game stats
Pre-game profile— what do the season numbers say?
This team profile combines season stats and recent form. In-game statistics appear after the final whistle.
Team stats— who is more efficient?
Compare both teams' attacking and defensive records this season.
Shooting quality
| Woking | Solihull Moors | |
|---|---|---|
| Accuracy (shots on target) | 38% | 40% |
| Chance quality (xG per shot) | 0.13 | 0.13 |
| Finishing (goals per shot on target) | 0.38 | 0.34 |
xG per shot around 0.08 usually means long-range attempts; 0.15+ usually means box chances. The style label comes from possession, shot volume and conversion.
* xG (expected goals) says how many goals a team should score from its chances. If actual goals are above xG, finishing is above average; if below xG, chances are being missed.
Team form— who is in better shape?
Last five games and season record, overall, at home and away.
Solihull Moors is 33% better for: last-5 form.
1.2 pts / game - Woking · 1.6 pts / game - Solihull Moors
Goals— how do both teams score and concede?
How many goals both teams score and concede, plus how often they keep a clean sheet or fail to score.
Woking is 28% better for: goals allowed per game.
1.23 goals / game - Woking · 1.58 goals / game - Solihull Moors
Woking scores in 74% of games (32 of 43 meczów), while Solihull Moors keeps a clean sheet in 26% (11 of 43 meczów).
Solihull Moors scores in 72% of games (31 of 43 meczów), while Woking keeps a clean sheet in 23% (10 of 43 meczów).
How often they score at least...
How often they concede at least...
* Statistics include both teams' home and away games this season.
Both teams scored (BTTS)— how often do both teams score?
How often games involving these teams produce goals at both ends, compared with the league average.
Goal patterns
BTTS and goal count
Goal count (Over/Under)— how often do these games cross the goal lines?
See how often games involving these teams clear each goal line, for the full game and each half.
Full game - team comparison (Over)
Over / Under - Woking
Over / Under - Solihull Moors
1st half
2nd half
Game halves— when do the teams score more often?
How teams split performance between first and second half: goals, points, clean sheets and half-time state.
Woking is 8% better for: first-half form (half-time points).
1.53 pts / game - Woking · 1.42 pts / game - Solihull Moors
Before half-time (1st half)
After half-time (2nd half)
Woking - second-half results
Leads at halftime in 40% of games and wins 35%. Usually protects a halftime lead through the final whistle.
Allows 0.2 more goals per game after halftime, a sign that the defense becomes less effective later in games.
Solihull Moors - second-half results
Leads at halftime in 33% of games and wins 30%. Usually protects a halftime lead through the final whistle.
Allows 0.5 more goals per game after halftime, a sign that the defense becomes less effective later in games.
| 1st half | 2nd half | |
|---|---|---|
| Points per game | 1.20 | 1.60 |
| Goals scored / game | 0.6 | 1.2 |
| Goals allowed / game | 0.6 | 0.6 |
| Average goals per game | 1.2 | 1.8 |
| 1 goal | 60% | 80% |
| 2 goals | 40% | 40% |
| 3 goals | 20% | 40% |
| Clean sheet | 40% | 60% |
| No goal | 60% | 40% |
| Goal difference | 0 | +3 |
| 1st half | 2nd half | |
|---|---|---|
| Points per game | 1.80 | 1.20 |
| Goals scored / game | 0.6 | 0.6 |
| Goals allowed / game | 0.0 | 0.6 |
| Average goals per game | 0.6 | 1.2 |
| 1 goal | 40% | 60% |
| 2 goals | 20% | 40% |
| 3 goals | 0% | 20% |
| Clean sheet | 100% | 40% |
| No goal | 60% | 60% |
| Goal difference | +3 | 0 |
* Table colors show frequency: green is common, yellow is moderate and red is rare. They are not team ratings.
Goals by minute— when do goals arrive?
The parts of a game in which both teams score and allow the most goals.
Most dangerous in minutes 76-90 (22 goals). Concedes most in 76-90 (12). Late-goal balance (76-90): +10 - wins late phases.
Most dangerous in minutes 76-90 (15 goals). Concedes most in 46-60 (17). Late-goal balance (76-90): 0.
* Buckets 31-45 and 76-90 include added-time goals.
Additional team indicators— what do xG, efficiency and form show?
A comparison of chance quality, results and trends from completed games this season.
Game profile
Woking
Solihull Moors
* The estimated goal total and split, BTTS estimate, 0:0 risk and goal range use public season averages and frequencies for both teams. This is a statistical game profile, not a private model prediction or betting pick. The remaining indicators describe completed games from the season.
League context— is this a high-scoring league?
How both teams compare with league-wide averages (National League).
Teams vs league
| Woking | Liga | Solihull Moors | |
|---|---|---|---|
| Average goals per game | ▼ 2.77 | 2.91 | ▲ 3.14 |
| Both teams scored | • 56% | 56% | ▼ 53% |
| Min. 3 goals (Over 2.5) | ▼ 49% | 56% | ▼ 51% |
| Clean sheets | • 23% | 24% | ▲ 26% |
| Goal before half-time | • 70% | 71% | ▼ 65% |
| Goal after half-time | ▲ 84% | 81% | ▲ 84% |
^ green = above league average, ˇ red = below league average. This shows direction of the gap, not a team rating.
Lineups and player events
Verified starters, substitutes and recorded player events for this match.
Home team
Starting lineup
Away team
Starting lineup
Substitutes
Match timeline
Goals, cards and substitutions arranged in chronological order.
Referee and managers
Open their season profiles to compare match records, goals and disciplinary trends.
Referee context
See how often this referee shows cards, awards penalties and how their matches tend to finish.
Head-to-head
Record from Woking's perspective: 1 win, 0 draws and 0 losses against Solihull Moors. Games average 3.00 goals, and both teams scored in 0% of them.
FAQ
What was the result of Woking vs Solihull Moors?
The National League match finished Woking 0:0 Solihull Moors. Full match statistics, the half-by-half breakdown and head-to-head are on this page.
What do the goal statistics show before Woking vs Solihull Moors?
Woking score 1.53 goals per game on average and Solihull Moors 1.56. The National League average is 2.91 goals, with Over 2.5 landing in 56% of games. Both teams score in 56% of Woking's matches and 53% of Solihull Moors's.
What form are Woking and Solihull Moors in?
Over the last 5 games Woking have a 1-3-1 record (1.20 points per game) and Solihull Moors 2-2-1 (1.60 points per game).
Where can I find a betting tip and analysis for Woking vs Solihull Moors?
This page shows the full statistical context — form, head-to-head, goals, BTTS and Over/Under. The tip, value assessment and full reasoning are in the NoFluffPicks app.