Monte Carlo vs KA I Prediction, H2H & Stats

Monte Carlo vs KA I Prediction & Analysis

Monte Carlo and KA I face off against each other for three points in the Macau 1st Division on Saturday, May 04th. 

After 10 games played, the statistics show that KA I have scored 7 goals and suffered ten defeats, 4 more defeats than Monte Carlo, who have scored 12 Goals.

Our prediction for the meeting between Monte Carlo and KA I is Over 2.5 Goals, based on mathematical analysis. For expert tipster predictions, please visit our Premium page.

Head to Head Record - Monte Carlo vs. KA I

Form

Team	Overall Form	Home Form	Away Form
Monte Carlo	D W L L L L	W L W W W W	D L L L L L
KA I	L L L L L L	L L L L L L	L L L L L D

Monte Carlo vs KA I Stats

• Last 6 Matches Stats

Team	WINS	Goals Scored	Goals Conceded	Corners
Monte Carlo	1/6	4	9	20
KA I	0/6	4	33	6

• Betting Stats

Team	OVER 1.5 GOALS	Over 2.5 Goals	BTTS	DRAWS
Monte Carlo	4/6	2/6	0/6	1/6
KA I	6/6	5/6	1/6	0/6

• First Half Stats

Team	WINS	Goals Scored	Goals Conceded	Corners
Monte Carlo	2/6	3	1	13
KA I	1/6	1	18	3

• Last 10 Games Stats

Betting Tips

• KA I conceded an average of 5.5 Goals every match.
• 7 of the last 10 matches played by KA I ended Over 3.5 Goals.

Form Comparison

Goals Comparison

Over 2.5 Goals Algorithm for Monte Carlo vs KA I

Monte Carlo had 9 goals in their last 3 home games.

Monte Carlo had 3 of the 3 previous games ended over 2.5 goals.

KA I had 27 goals in their last 3 away games.

In the previous game, KA I had 8 goals in total for the entire game.

KA I had scored in 1 of the last 3 games.

KA I had 3 of the 3 previous games ended over 2.5 goals.

Last Matches Monte Carlo

Last Matches KA I

Important

It is essential to approach the Monte Carlo vs KA I prediction with caution and understand that it is not a definitive forecast of the final result. Football matches are known for their unpredictability, and the true excitement of the sport lies in the uncertainty of the outcome.

While mathematical models and statistical analysis can provide valuable insights, they cannot account for certain factors such as team dynamics, individual player performances, tactical changes, and unforeseen events that may occur during the game. These elements can significantly impact the result, and as a result, the actual outcome of the Monte Carlo vs KA I match might differ from the mathematical prediction presented on this page.