Toronto Blue Jays (-124) vs. Miami Marlins (7.5) Game Odds Preview (09/02/2020)

Toronto Blue Jays (-124) vs. Miami Marlins (7.5) Game Odds Preview (09/02/2020) – Sports Handicapper Ron Raymond has released his free game odds preview on today’s MLB Baseball game between the Toronto Blue Jays vs. Miami Marlins for Wednesday, September 2nd, 2020.

Toronto Blue Jays (-124) vs. Miami Marlins (7.5) Game Odds Preview (09/02/2020)

Toronto Blue Jays -1.5 ( -124 ) Vs. Miami Marlins (Total:7.5)

Miami Marlins +1.5 ( 114 ) Vs. Toronto Blue Jays (Total:7.5)

Toronto Blue Jays (Pitcher: Hyun-jin Ryu) TR: Win 4 Loss 2 O/U/P: 3 – 2 – 1 SIDE :-124	Vs. Date: 2020-09-02 Time: 18:40:00 Generated from 32 Previous Games	Miami Marlins (Pitcher: Sixto Sanchez) TR: Win 1 Loss 0 O/U/P: 0 – 1 – 0 O/U :7.5
6.55	Forecast (O/U 8.97 )	2.42
5-5	L10(SU)	5-5
3-5-2	L10(O/U)	5-5-0
57%	C.O.W	41%
50%	C.O.G.O	50%
-121	DMVI	134
(B) BULLISH	PVI	(B) NEUTRAL
3-2	SU	2-2
2-2-1	O/U	1-3-0

WHAT DOES THIS MEAN? (MLB & NHL)

C.O.W. = (Chances of Winning) – The Cow is based on both teams’ current situations as either a Road Favorite, Road Underdog, Home Favorite or Home Underdog, along with the range of the OVER/UNDER. We then research past occurrences and results from both teams and provide a ‘CHANCES OF WINNING’ percentage in their next game.

C.O.G.O. = (Chances Game Going OVER) – The ‘C.O.G.O.’ percentage is based on both teams OVER/UNDER record, using both teams short and long-term OVER/UNDER records. After we process it through our ‘math predictor’, we then provide a ‘CHANCES OF COVERING’ percentage for that game, which let’s you know if there’s any value on the OVER in that game.
*Note: If there’s a 60% chance of the game going OVER, that means, there’s a 40% chance of the game going UNDER.

L.O.A. = (Law of Average) – The ‘Law of Average’ edge is based on the 50/50 theory. Play on a team that lost against the spread (ATS) or straight up (SU) in their last game, vs. a team that won against the spread (ATS) or straight up (SU) in their last game.

DMVI = (Daily Market Value Index) – The DMVI is our researched and calculated line compared to the bookmaker’s line. When calculating the DMVI, we look for the margin of error between the bookmaker’s line, the final result of a game and then produce the value of what the line should be in the next game for both teams. The DMVI is a tool to find value vs. the current line.

VI = (Value Index) – The Value Index is the current psychology of the betting public, based on a teams 7-game cycle.
BULLISH = Team is either (7-0, 6-1, or 5-2) in their last 7 games.
NEUTRAL = Team is either (3-4 or 4-3) in their last 7 games.
BEARISH = Team is either (0-7, 1-6 or 2-5) in their last 7 games.

Toronto Blue Jays (-124) vs. Miami Marlins (7.5) Game Odds Preview (09/02/2020)

Toronto Blue Jays

Miami Marlins

Line : -1.5

Line : 1.5

MoneyLine : -124

MoneyLine : 114

O/U : 7.5

Season Record :

SU: 18-16

ATS: 0-0-0

O/U: 15-16-3

SU: 16-15

ATS: 0-0-0

O/U: 16-15-0

Home Record :

SU: 7-7

ATS: —

O/U: 8-5-1

SU: 6-8

ATS: —

O/U: 7-7-0

Away Record :

SU: 11-9

ATS: —

O/U: 7-11-2

SU: 10-7

ATS: —

O/U: 9-8-0

Last game: Lost 2 – 3 vs Miami Marlins ( Elieser Hernandez )

Last game: Win 2 – 3 vs Toronto Blue Jays ( Julian Merry

Current game: vs. Miami Marlins ( Sixto Sanchez )

Current game: vs. Toronto Blue Jays ( Hyun-Jin Ryu )

Next Game: At BOSTON

Next Game: At TAMPA BAY

Streaks : 2 SU Lost – 2 Under

Streaks : 2 SU Win – 1 Under

Road Teams Strength of Schedule last 7 games: 34.69%

Home Teams Strength of Schedule last 7 games: 57.14%

Situational Stats

Home Favorite: 6 Win -4 Lost (RF)6.7 – (RA)5.1

Home Favorite: 3 Win -1 Lost (RF)4.75 – (RA)3.75

Home Underdog: 1 Win -3 Lost (RF)4 – (RA)5.5

Home Underdog: 3 Win -7 Lost (RF)2.8 – (RA)4.8

Road Favorite: 2 Win -1 Lost (RF)5.33 – (RA)3.67

Road Favorite: 0 Win -0 Lost (RF)N/A – (RA)N/A

Road Underdog: 8 Win -8 Lost (RF)3.63 – (RA)3.81

Road Underdog: 10 Win -7 Lost (RF)4.94 – (RA)4.59

Last 3 game: 1 Win 2 Lost (RF)3.67 – (RA)4

Last 3 game: 2 Win 1 Lost (RF)5 – (RA)5.67

Last 5 game: 3 Win 2 Lost (RF)4.2 – (RA)3.2

Last 5 game: 2 Win 3 Lost (RF)3 – (RA)4.6

Last 7 game: 4 Win 3 Lost (RF)5.29 – (RA)3.71

Last 7 game: 3 Win 4 Lost (RF)3.14 – (RA)4

Last 10 game: 5 Win 5 Lost (RF)4.8 – (RA)3.7

Last 10 game: 5 Win 5 Lost (RF)4 – (RA)4.5

Last 15 game: 10 Win 5 Lost (RF)5.27 – (RA)4.07

Last 15 game: 7 Win 8 Lost (RF)3.87 – (RA)4.53

Team Record

Hyun-Jin Ryu’s Last 3 game: 2 Win – 1 Lost (RF)4.33 – (RA)2.67

Sixto Sanchez’s Last 3 game: 1 Win – 1 Lost (RF)2.5 – (RA)2.5

Hyun-Jin Ryu’s Last 5 game: 4 Win – 1 Lost (RF)4 – (RA)2.6

Sixto Sanchez’s Last 5 game: 1 Win – 1 Lost (RF)2.5 – (RA)2.5

Hyun-Jin Ryu’s Last 7 game: 5 Win – 2 Lost (RF)4.29 – (RA)3.29

Sixto Sanchez’s Last 7 game: 1 Win – 1 Lost (RF)2.5 – (RA)2.5

Hyun-Jin Ryu’s Last 10 game: 5 Win – 2 Lost (RF)4.29 – (RA)3.29

Sixto Sanchez’s Last 10 game: 1 Win – 1 Lost (RF)2.5 – (RA)2.5

Hyun-Jin Ryu’s Last 15 game: 5 Win – 2 Lost (RF)4.29 – (RA)3.29

Sixto Sanchez’s Last 15 game: 1 Win – 1 Lost (RF)2.5 – (RA)2.5

Hyun-Jin Ryu’s Last 20 game: 5 Win – 2 Lost (RF)4.29 – (RA)3.29

Sixto Sanchez’s Last 20 game: 1 Win – 1 Lost (RF)2.5 – (RA)2.5

Hyun-Jin Ryu’s Last 25 game: 5 Win – 2 Lost (RF)4.29 – (RA)3.29

Sixto Sanchez’s Last 25 game: 1 Win – 1 Lost (RF)2.5 – (RA)2.5

Situations (Toronto Blue Jays)

Situations (Miami Marlins)

Coming off vs. NL East opponent (MIA)

Coming off vs. AL East opponent (TOR)

Coming off a road underdog lost

Coming off a home fav win

Coming off a 2 game losing streak

Coming off a 2 game winning streak

Coming off 2 unders

Coming off 1 under

Scored 3 runs against in last game

Scored 2 runs against in last game

Trends

Query	SU	O/U
When TORONTO team played as a Road team – Vs Non Conference Opponent – During a night game – Coming off a 1 run lost – Coming off a 2 game losing streak	5-5	2-8-0

Query

O/U

Ron Raymond

Ron Raymond is a veteran sports handicapper and founder of ATSstats.com, creator of the Raymond Report sports betting system. Active in the industry since 1996, Ron has nearly three decades of experience analyzing market cycles, performance indicators, and value metrics across the NFL, NHL, NBA, MLB, and CFL. Ron’s data-driven approach has helped thousands of bettors think strategically, manage risk, and win with confidence.

See Full Bio

mlb computer picks