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Grimsby Town - Swindon Town: our prediction

25/04/202613:30
Grimsby Town
Grimsby Town
4:0
(3:0)
Finished
Swindon Town
Swindon Town
-
1
-
X
-
2

Grimsby Town vs Swindon Town Preview — League Two

Grimsby Town, home favorite, faces Swindon Town. Statistics show a trend towards goals for both teams, with odds of 1.75 for a Grimsby win.

Our Grimsby Town vs Swindon Town predictions

Over 1.5 goals in the match
Statistics show a very high probability of seeing at least 2 goals. Grimsby Town has 80% of their matches with over 1.5 goals, and Swindon Town is at 90%. Both teams have attacks capable of scoring and defenses that concede regularly. Matches between these two teams are often open.
1.2
Confidence
Very high
Both teams to score
Both teams have a strong tendency to score. Grimsby Town has seen both teams score in 60% of their matches, while Swindon Town is at 70%. Additionally, both teams have defensive difficulties, with rare clean sheets (30% for Grimsby, 20% for Swindon). Offensive statistics are good on both sides, with players like Kieran Green (5 goals) for Grimsby and Aaron Drinan (4 goals) for Swindon.
1.63
Confidence
High
Grimsby Town to win
Grimsby Town is the favorite with odds of 1.75. In their last 10 matches, the team has won 6 times (60%) and lost only 3. At home, the trend is even stronger with 60% wins. Swindon Town, on the other hand, has won only 3 of their last 10 matches (30%) and has shown defensive weaknesses, conceding goals in 80% of their matches.
1.71
Confidence
High

Market signals on Grimsby Town vs Swindon Town

PRO

Predictions detected by our algorithms and recommended by the market

Grimsby Town vs Swindon Town Statistics

Win
Grimsby Town logo
Grimsby Town
Swindon Town logo
Swindon Town
Win
6
1
3
3
5
2
Win
Draw
Lose
When Favorite
12
Did not lose by being a favorite
86%
100%
Victory by being rated between 1.00 and 1.20
0%
0%
Victory by being rated between 1.21 and 1.50
0%
0%
Victory by being rated between 1.51 and 1.80
100%
0%
Victory by being rated between 1.81 and above
80%
50%
Win by being a favorite
71%
43%
When Outsider
12
Did not lose by being an outsider
33%
33%
Win against an opponent rated between 1.0 and 1.2
0%
0%
Win against an opponent rated between 1.21 and 1.5
0%
0%
Win against an opponent rated between 1.51 and 1.8
0%
0%
Win against an opponent rated between 1.8 and above
33%
0%
Win by being an outsider
33%
0%
Clean sheet
12
Clean sheet
30%
70%
20%
80%
Yes
No
Both teams score
12
Both teams score
60%
40%
70%
60%
Yes
No
Half-time
12
Draw at halftime
40%
60%
50%
50%
Goals Over/Under 0.5 by team
80%
20%
20%
80%
Goals Over/Under 0.5 per game
80%
20%
50%
50%
Goals Over/Under 1.5 by team
20%
80%
10%
90%
Goals Over/Under 1.5 per game
60%
40%
10%
90%
Leading at half-time
40%
60%
20%
80%
More goals
Under goals
Half with most goals
12
1st half
50%
10%
2nd half
50%
60%
Goals Over/Under
12
Goals Over/Under 0.5 per game
100%
100%
Goals Over/Under 1.5 per game
80%
20%
90%
10%
Goals Over/Under 2.5 per game
60%
40%
50%
50%
Goals Over/Under 3.5 per game
40%
60%
20%
80%
Goals Over/Under 4.5 per game
30%
70%
100%
More goals
Under goals
Goals Over/Under (by team)
12
Goals Over/Under 0.5 by team
90%
10%
90%
10%
Goals Over/Under 1.5 by team
50%
50%
40%
60%
Goals Over/Under 2.5 by team
30%
70%
100%
Goals Over/Under 3.5 by team
20%
80%
100%
Goals Over/Under 4.5 by team
10%
90%
100%
More goals
Under goals
% of matches in which a player has scored
12
Jaze Kabia
50% (5/10)
30% (3/10)
Aaron Drinan
Kieran Green
50% (5/10)
20% (2/10)
Fletcher Holman
Andy Cook
20% (2/10)
33% (1/3)
Ben Middlemas
Reece Staunton
10% (1/10)
11% (1/9)
Billy Bodin
Charles Vernam
13% (1/8)
13% (1/8)
Joel McGregor
Justin Amaluzor
10% (1/10)
10% (1/10)
Ollie Palmer
Harvey Rodgers
11% (1/9)
13% (1/8)
Junior Hoilett
Maldini Kacurri
10% (1/10)
25% (1/4)
Ollie Clarke
Cameron McJannet
10% (1/10)
Total goals per player
12
Jaze Kabia
⚽⚽⚽⚽⚽⚽⚽7
⚽⚽⚽3
Aaron Drinan
Kieran Green
⚽⚽⚽⚽⚽5
⚽⚽2
Fletcher Holman
Andy Cook
⚽⚽⚽3
1
Ollie Palmer
Justin Amaluzor
1
1
Junior Hoilett
Harvey Rodgers
1
1
Ben Middlemas
Cameron McJannet
1
1
Billy Bodin
Reece Staunton
1
1
Ollie Clarke
Charles Vernam
1
1
Joel McGregor
Maldini Kacurri
1
Over corners (per game)
12
Over corners 6.5
100%
100%
Over corners 7.5
80%
100%
Over corners 8.5
70%
100%
Over corners 9.5
70%
100%
Over corners 10.5
20%
90%
Over corners 11.5
20%
60%
Over corners 12.5
0%
50%
Over corners (per team)
12
Over corners 2.5
90%
80%
Over corners 3.5
80%
80%
Over corners 4.5
50%
60%
Over corners 5.5
40%
30%
Over corners 6.5
30%
20%
Over X yellow cards (per team)
12
0.5
80%
70%
1.5
40%
40%
2.5
10%
20%
3.5
0%
0%
4.5
0%
0%
5.5
0%
0%

Lineups

Grimsby Town

4-1-4-1
CoachDavid Artell
Starting XI
Substitutes

Swindon Town

4-2-3-1
CoachIan Holloway
Starting XI
Substitutes

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Guide complet des paris sportifs - League Two

Bienvenue dans notre guide complet des paris sportifs pour League Two. Que vous soyez un parieur débutant ou expérimenté, nous vous proposons une analyse approfondie et des conseils experts pour optimiser vos paris sur cette compétition.

Présentation de la compétition

League Two est l'une des compétitions majeures de England. Avec son histoire riche et son niveau de jeu élevé, elle offre de nombreuses opportunités pour les parieurs avertis.

Types de paris populaires

Les paris les plus populaires dans cette compétition incluent :

  • Paris sur le résultat final (1X2)
  • Paris sur le nombre de buts
  • Paris combinés
  • Paris en direct
  • Paris sur les buteurs

Facteurs clés à considérer

Pour réussir vos paris sur League Two, prenez en compte ces éléments essentiels :

  • Forme actuelle des équipes
  • Historique des confrontations directes
  • Blessures et suspensions
  • Conditions météorologiques
  • Enjeux du match

Stratégies de paris recommandées

Nos experts recommandent les stratégies suivantes pour cette compétition :

  • Analyse approfondie des statistiques
  • Suivi des tendances de marché
  • Gestion rigoureuse de bankroll
  • Diversification des types de paris

Outils et ressources

Pour optimiser vos paris, utilisez nos outils spécialisés :

  • Comparateur de cotes en temps réel
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  • Prédictions basées sur l'intelligence artificielle
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