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Compare Randers vs Tondela

Randers vs Tondela Head-to-Head Stats and Form Comparison

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

Randers Randers Home Team
Tondela Tondela Away Team
Randers
42.7
D W L D L L D L W W

Last 10 Matches

Tondela
37.0
W W D L L D L D L D

Categories Won

11

Randers

3

Draw

1

Tondela

Performance Radar

Randers
Tondela

Statistical Comparison

Win Percentage
30%

3W, 3D, 4L

20%

2W, 4D, 4L

Goals Scored / Match
1.3

13 / 10 matches

0.9

9 / 10 matches

Goals Conceded / Match
1.6

16 / 10 matches

1.6

16 / 10 matches

Goal Difference
-3

-3

-7

-7

Clean Sheet
20%

2 / 10 matches

30%

3 / 10 matches

Over 2.5 Goals
70%

7 / 10 matches

40%

4 / 10 matches

Both Teams to Score
60%

6 / 10 matches

30%

3 / 10 matches

Top Scorer
E. Mahmoud (3 goals)
Rony Lopes (2 goals)
Most Goals by Half
1st Half: 5 / 2nd Half: 8
1st Half: 3 / 2nd Half: 6
Home Win Rate
20%

1W / 5 matches

17%

1W / 6 matches

Away Win Rate
40%

2W / 5 matches

25%

1W / 4 matches

Schedule Strength (SoS)
53.1

League Difficulty: 55.0, Opponent Quality: 51.9

52.7

League Difficulty: 79.0, Opponent Quality: 60.4

Elite Opponent Record
0%

0W / 0 matches

0%

0W / 2 matches

Expected Goals (xG)
1.15

Actual: 1.3 | Diff: +0.15

0.92

Actual: 0.9 | Diff: -0.02

Adjusted Power Rating
42.7

Attack: 44.7, Defense: 48.1, Form: 30.9

37.0

Attack: 30.8, Defense: 47.9, Form: 20.5

Goal Timing Analysis

3

0-15'

2
2

16-30'

1

31-45'

3

46-60'

2
3

61-75'

1
2

76-90+'

3
Randers
Tondela
Randers

Power Rating Breakdown

42.7

Overall

Attack 44.7
Defense 48.1
Form 30.9
Consistency 53.2
Tondela

Power Rating Breakdown

37.0

Overall

Attack 30.8
Defense 47.9
Form 20.5
Consistency 64.0

Strength of Schedule

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

League Difficulty

55.0 vs 79.0

Opponent Quality

51.9 vs 60.4

Elite Opponent Record

0% vs 0%
Randers logo Randers
D
OB (50%)
W
Vejle (39%)
L
Silkeborg (57%)
D
Fredericia (43%)
L
OB (55%)
L
Copenhagen (63%)
D
Vejle (44%)
L
Silkeborg (52%)
Tondela logo Tondela
W
Moreirense (50%)
W
Casa Pia (53%)
D
Sporting (75%)
L
Nacional (52%)
L
Porto (74%)
D
Gil Vicente (55%)
L
Vitória SC (59%)
D
AVS (59%)

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
OB H
2 - 2 D
50%
Vejle H
1 - 0 W
39%
Silkeborg A
0 - 2 L
57%
Fredericia H
2 - 2 D
43%
OB A
1 - 3 L
55%
Copenhagen H
1 - 2 L
63%
Vejle A
1 - 1 D
44%
Silkeborg H
0 - 3 L
52%
Fredericia A
3 - 0 W
48%
Copenhagen A
2 - 1 W
68%
Opponent Breakdown
Opponent Breakdown
Score
Opp. Quality
Moreirense H
2 - 0 W
50%
Casa Pia A
1 - 0 W
53%
Sporting A
2 - 2 D
75%
Nacional H
0 - 2 L
52%
Porto A
0 - 2 L
74%
Gil Vicente H
2 - 2 D
55%
Vitória SC A
0 - 5 L
59%
AVS H
0 - 0 D
59%
Rio Ave H
0 - 1 L
61%
Santa Clara H
2 - 2 D
66%

AI Analysis

The statistics point to a clear direction in this matchup, though the underdog should not be underestimated.

Both teams have faced similar levels of opposition (SoS: 53.1 vs 52.7), making the raw statistics a reliable basis for comparison.

Randers holds the attacking edge with 1.3 goals per match versus Tondela's 0.9, though the gap is not insurmountable.

Both defenses are comparable, with Randers conceding 1.6 and Tondela conceding 1.6 per match.

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

Based on the combined statistics, expect 2.7 total goals. Over 2.5 goals is the statistical lean, with both teams to score being possible.

Randers has the edge based on adjusted metrics, but this is far from a foregone conclusion. The 5.7 point power rating difference suggests a competitive match where small details could decide the outcome.

Match Simulator

AI-powered match simulation based on real statistics

Randers

Randers

VS
Tondela

Tondela

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.

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