MLB Pirates at Giants Moneyline Aug-15-2016

MLB: Pittsburgh at San Francisco

Team Performance Analysis for Moneylines

Game Time:10:15 PM

We analyze the historical team performance for San Francisco and Pittsburgh . The overall team performance trends can be used to analyze Moneylines.

Trends help find the hot and cold teams. “Hot” teams have strength and have been beating their opponents while cold teams have been weak and losing.

Win-Loss Trends:

San Francisco =LOST 1
Pittsburgh =WON 1

We search for winning(up) trends and losing (down) trends that provide sports betting opportunities.

In the last 20 games of historical trend performance of the two teams PIT has been outperforming SF.

Check out how the Odds compare here: MLB Moneyline Odds .

The below chart is the historical lines for each team:
MLB Moneyline Odds History

The below chart is the historical scores for each team:
MLB Scores

Here are the scores combined:

MLB Combined Scores

Here is a chart of each team’s opponents:MLB Opponent Scores

MLB Pirates at Giants Totals Aug-15-2016

MLB: Pittsburgh at San Francisco

Combined Team Performance Analysis for Totals

Game Time:10:15 PM

The trends below show the historical team performance for San Francisco and Pittsburgh against their respective over under lines.

By analyzing how the teams perform against their over under lines we can see how can gauge the public perception vs actual results .

The most recent results vs OU Lines:
San Francisco =OVER 1 Game(s)
Pittsburgh =OVER 2 Game(s)

We search for winning(up) trends, losing (down) trends that provide a sports betting opportunities. Over trends will usually increase the OU Line for future games. Under Trends will usually reduce the OU Line for Future games.

The combined performance of the two teams over the last 20 games has been Under their respective Totals. The 3 game combined trend of team scoring performance vs their lines has been Over.

Check out how the Totals compare here: MLB Totals .

The below chart is the historical lines for each team:
MLB Totals History

The below chart is the historical runs for each team:
MLB Scores

Here are the scores combined:

MLB Combined Scores

Here is a chart of each team’s opponents:

MLB Opponent Scores

MLB Orioles at Giants Moneyline Aug-14-2016

MLB: Baltimore at San Francisco

Team Performance Analysis for Moneylines

Game Time:4:05 PM

We analyze the historical team performance for San Francisco and Baltimore . The overall team performance trends can be used to analyze Moneylines.

Trends help find the hot and cold teams. “Hot” teams have strength and have been beating their opponents while cold teams have been weak and losing.

Win-Loss Trends:

San Francisco =WON 1
Baltimore =LOST 1

We search for winning(up) trends and losing (down) trends that provide sports betting opportunities.

In the last 20 games of historical trend performance of the two teams SF has been outperforming BAL.

Check out how the Odds compare here: MLB Moneyline Odds .

The below chart is the historical lines for each team:
MLB Moneyline Odds History

The below chart is the historical scores for each team:
MLB Scores

Here are the scores combined:

MLB Combined Scores

Here is a chart of each team’s opponents:MLB Opponent Scores

MLB Orioles at Giants Totals Aug-14-2016

MLB: Baltimore at San Francisco

Combined Team Performance Analysis for Totals

Game Time:4:05 PM

The trends below show the historical team performance for San Francisco and Baltimore against their respective over under lines.

By analyzing how the teams perform against their over under lines we can see how can gauge the public perception vs actual results .

The most recent results vs OU Lines:
San Francisco =OVER 1 Game(s)
Baltimore =OVER 1 Game(s)

We search for winning(up) trends, losing (down) trends that provide a sports betting opportunities. Over trends will usually increase the OU Line for future games. Under Trends will usually reduce the OU Line for Future games.

The combined performance of the two teams over the last 20 games has been Under their respective Totals. The 3 game combined trend of team scoring performance vs their lines has been Over.

Check out how the Totals compare here: MLB Totals .

The below chart is the historical lines for each team:
MLB Totals History

The below chart is the historical runs for each team:
MLB Scores

Here are the scores combined:

MLB Combined Scores

Here is a chart of each team’s opponents:

MLB Opponent Scores

MLB Orioles at Giants Moneyline Aug-13-2016

MLB: Baltimore at San Francisco

Team Performance Analysis for Moneylines

Game Time:9:05 PM

We analyze the historical team performance for San Francisco and Baltimore . The overall team performance trends can be used to analyze Moneylines.

Trends help find the hot and cold teams. “Hot” teams have strength and have been beating their opponents while cold teams have been weak and losing.

Win-Loss Trends:

San Francisco =LOST 3
Baltimore =WON 2

We search for winning(up) trends and losing (down) trends that provide sports betting opportunities.

In the last 20 games of historical trend performance of the two teams BAL has been outperforming SF.

Check out how the Odds compare here: MLB Moneyline Odds .

The below chart is the historical lines for each team:
MLB Moneyline Odds History

The below chart is the historical scores for each team:
MLB Scores

Here are the scores combined:

MLB Combined Scores

Here is a chart of each team’s opponents:MLB Opponent Scores

MLB Orioles at Giants Totals Aug-13-2016

MLB: Baltimore at San Francisco

Combined Team Performance Analysis for Totals

Game Time:9:05 PM

The trends below show the historical team performance for San Francisco and Baltimore against their respective over under lines.

By analyzing how the teams perform against their over under lines we can see how can gauge the public perception vs actual results .

The most recent results vs OU Lines:
San Francisco =UNDER 3 Game(s)
Baltimore =UNDER 1 Game(s)

We search for winning(up) trends, losing (down) trends that provide a sports betting opportunities. Over trends will usually increase the OU Line for future games. Under Trends will usually reduce the OU Line for Future games.

The combined performance of the two teams over the last 20 games has been Under their respective Totals. The 3 game combined trend of team scoring performance vs their lines has been Over.

Check out how the Totals compare here: MLB Totals .

The below chart is the historical lines for each team:
MLB Totals History

The below chart is the historical runs for each team:
MLB Scores

Here are the scores combined:

MLB Combined Scores

Here is a chart of each team’s opponents:

MLB Opponent Scores