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Compare Walsall vs Grimsby

Walsall vs Grimsby Head-to-Head Stats and Form Comparison

Compare Walsall vs Grimsby: head-to-head stats, recent form, goals, defensive record and strength indicators from last matches.

Walsall Walsall Home Team
Grimsby Grimsby Away Team
Walsall
34.4
D W W D L L L L W L

Last 10 Matches

Grimsby
52.1
D W L L W D W W D D

Performance Radar

Walsall
Grimsby

Categories Won

1

Walsall

4

Draw

10

Grimsby

Statistical Comparison

Win Percentage
30%

3W, 2D, 5L

40%

4W, 4D, 2L

Goals Scored / Match
0.8

8 / 10 matches

1.7

17 / 10 matches

Goals Conceded / Match
1.6

16 / 10 matches

1.0

10 / 10 matches

Goal Difference
-8

-8

+7

+7

Clean Sheet
40%

4 / 10 matches

50%

5 / 10 matches

Over 2.5 Goals
50%

5 / 10 matches

50%

5 / 10 matches

Both Teams to Score
20%

2 / 10 matches

50%

5 / 10 matches

Top Scorer
M. Hancock (2 goals)
H. Rodgers (2 goals)
Most Goals by Half
1st Half: 2 / 2nd Half: 6
1st Half: 1 / 2nd Half: 16
Home Win Rate
0%

0W / 5 matches

75%

3W / 4 matches

Away Win Rate
60%

3W / 5 matches

17%

1W / 6 matches

Schedule Strength (SoS)
44.2

League Difficulty: 42.0, Opponent Quality: 45.7

45.5

League Difficulty: 43.5, Opponent Quality: 46.9

Elite Opponent Record
0%

0W / 0 matches

0%

0W / 0 matches

Expected Goals (xG)
0.73

Actual: 0.8 | Diff: +0.07

1.49

Actual: 1.7 | Diff: +0.21

Adjusted Power Rating
34.4

Attack: 25.1, Defense: 44.0, Form: 28.3

52.1

Attack: 54.1, Defense: 63.7, Form: 38.2

Goal Timing Analysis

0-15'

16-30'

1

31-45'

1
2

46-60'

2

61-75'

1
3

76-90+'

2
Walsall
Grimsby
Walsall

Power Rating Breakdown

34.4

Overall

Attack 25.1
Defense 44.0
Form 28.3
Consistency 49.3
Grimsby

Power Rating Breakdown

52.1

Overall

Attack 54.1
Defense 63.7
Form 38.2
Consistency 56.8

Strength of Schedule

Measures the difficulty of opponents faced. Higher = tougher schedule.

League Difficulty

42.0 vs 43.5

Opponent Quality

45.7 vs 46.9

Elite Opponent Record

0% vs 0%
Walsall logo Walsall
D
Grimsby (51%)
W
Gillingham (43%)
W
Bristol C (47%)
D
Notts Co (46%)
L
Telford (42%)
L
A Villa (42%)
L
Bromley (46%)
L
Harrogate (59%)
Grimsby logo Grimsby
D
Walsall (41%)
W
Exeter (38%)
L
Blackpool (52%)
L
Grimsby Bor. (46%)
W
Wigan (36%)
D
Boston (59%)
W
Lincoln (43%)
W
Hartlepool (50%)

Opponent Quality: Quality blends league strength, recent points form, goal difference, and home/away context. It is not only club size or reputation.

Opponent Breakdown
Opponent Breakdown
Score
Opp. Quality
Grimsby H
0 - 0 D
51%
Gillingham A
3 - 0 W
43%
Bristol C A
1 - 0 W
47%
Notts Co H
0 - 0 D
46%
Telford A
0 - 1 L
42%
A Villa H
0 - 5 L
42%
Bromley A
1 - 3 L
46%
Harrogate H
0 - 2 L
59%
Barrow A
3 - 1 W
43%
Cheltenham H
0 - 4 L
38%
Opponent Breakdown
Opponent Breakdown
Score
Opp. Quality
Walsall A
0 - 0 D
41%
Exeter H
1 - 0 W
38%
Blackpool H
1 - 3 L
52%
Grimsby Bor. A
2 - 3 L
46%
Wigan H
2 - 0 W
36%
Boston A
0 - 0 D
59%
Lincoln H
5 - 1 W
43%
Hartlepool A
3 - 0 W
50%
Zorya A
1 - 1 D
53%
Salford A
2 - 2 D
51%

AI Analysis

When we look at the raw statistics, both teams appear to be in form, but applying the Strength of Schedule adjustment reveals a significant quality gap. The favorite has been tested against tougher opposition and has consistently delivered.

With comparable strength of schedule figures (44.2 vs 45.5), the opposition quality faced by both sides has been largely equivalent, giving these head-to-head stats greater analytical validity.

Grimsby holds the attacking edge with 1.7 goals per match versus Walsall's 0.8, though the gap isn't insurmountable.

Grimsby has the defensive edge, conceding 1.0 per match compared to Walsall's 1.6.

Walsall has not faced any elite-level opponents in their recent matches, making it difficult to assess their ceiling.

Grimsby has not faced any elite-level opponents in their recent matches, making it difficult to assess their ceiling.

Grimsby has an exceptional home record with a 75% win rate at their home ground. When playing at home, they become significantly more dangerous.

Walsall is a strong road performer with a 60% away win rate, proving they can deliver results regardless of venue.

Statistical modeling projects 2.6 goals in this fixture. The data points Over 2.5 as the value threshold, while BTTS stands at unlikely based on both sides' scoring records.

📈 Form Momentum: Grimsby has been remarkably consistent, maintaining a steady 1.6 points per game over their last 10 matches. This stability makes them a predictable but reliable force.

⚠️ Risk Factor: Despite being the statistical favorite, Grimsby faces a key vulnerability: their away form is significantly weaker than their home record. If Walsall can exploit this, an upset becomes plausible.

💡 Why This Matters: The 17.7-point power rating gap between these teams translates to approximately a 85% win probability for Grimsby. In practical terms, Grimsby would win 8 out of 10 such matchups.

Grimsby emerges as the favorite in this matchup. With a stronger overall power rating (52.1 vs 34.4) and advantages in key areas, they should have enough to prevail.

These two teams drew 0-0 in the League Two (2026-08-22). The stalemate suggests these sides are closely matched, and another tight contest could be on the cards. With the previous match ending in a draw, neither side holds a psychological edge. Both teams will feel they have a genuine chance of winning.

Match Simulator

AI-powered match simulation based on real statistics

Walsall

Walsall

VS
Grimsby

Grimsby

In H2H (head-to-head) matchups, to eliminate momentary fluctuations and coincidences, we limit our analyses to an optimal depth of exactly 10 matches. Neither less, nor more. This focused approach is our undisputed gold standard, revealing the tactical and psychological supremacy teams hold over each other in its purest form. We do not dwell on the noise of the past; we concentrate on the millimetric precision of current form.

Compare Another Pair

Comparison Summary

This head-to-head comparison analyzes the last 10 matches of each team, evaluating attack power, defensive strength, form consistency, and overall performance metrics. The power ratings are calculated using a weighted algorithm that considers goals scored, goals conceded, win rate, and recent form trends.

Walsall

3W 2D 5L · 8 goals scored · 16 conceded

Grimsby

4W 4D 2L · 17 goals scored · 10 conceded

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