New York Yankees (-140) vs. New York Mets (10.0) MLB Preview (09/03/2020)

New York Yankees (-140) vs. New York Mets (10.0) MLB Preview (09/03/2020) – Sports Handicapper Ron Raymond has released his MLB Baseball preview and prediction on today’s subway series matchup between the New York Yankees (J.A. Happ) vs. New York Mets (Robert Gsellman) for Thursday, September 3rd, 2020.

New York Yankees (-140) vs. New York Mets (10.0) MLB Preview (09/03/2020)

New York Yankees ( -140 ) Vs. New York Mets (Total:10.0)

New York Mets ( 120 ) Vs. New York Yankees (Total:10.0)

New York Yankees (Pitcher: James Happ) TR: Win 2 Loss 0 O/U/P: 1 – 1 – 0 SIDE :-140	Vs. Date: 2020-09-03 Time: 16:10:00 Generated from 4 Previous Games	New York Mets (Pitcher: Robert Gsellman) TR: Win 2 Loss 0 O/U/P: 2 – 0 – 0 O/U :10.0
4	Forecast (O/U 8 )	4
4-6	L10(SU)	4-6
3-7-0	L10(O/U)	6-4-0
55%	C.O.W	62%
43%	C.O.G.O	43%
-122	DMVI	-203
(B) NEUTRAL	PVI	(C) BEARISH
4-6	SU	2-4
3-7-0	O/U	3-3-0

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.

New York Yankees (-140) vs. New York Mets (10.0) MLB Preview (09/03/2020)

New York Yankees

New York Mets

Line :

MoneyLine : -140

MoneyLine : 120

O/U : 10.0

Season Record :

SU: 20-15

ATS: 0-0-0

O/U: 15-18-2

SU: 16-21

ATS: 0-0-0

O/U: 19-18-0

Home Record :

SU: 13-7

ATS: —

O/U: 10-8-2

SU: 7-10

ATS: —

O/U: 8-9-0

Away Record :

SU: 7-8

ATS: —

O/U: 5-10-0

SU: 9-11

ATS: —

O/U: 11-9-0

Last game: Lost 5 – 2 vs Tampa Bay Rays ( Jordan Montgomery )

Last game: Win 9 – 4 vs Baltimore Orioles ( Michael W

Current game: vs. New York Mets ( Robert Gsellman )

Current game: vs. New York Yankees ( J.A. Happ )

Next Game: At BALTIMORE

Next Game: Vs. PHILADELPHIA

Streaks : 1 SU Lost – 2 Under

Streaks : 1 SU Win – 3 Over

Road Teams Strength of Schedule last 7 games: 53.06%

Home Teams Strength of Schedule last 7 games: 44.9%

Situational Stats

Home Favorite: 12 Win -6 Lost (RF)5.61 – (RA)4.44

Home Favorite: 6 Win -7 Lost (RF)4.08 – (RA)4.62

Home Underdog: 1 Win -1 Lost (RF)5.5 – (RA)6.5

Home Underdog: 1 Win -3 Lost (RF)3 – (RA)6.5

Road Favorite: 5 Win -4 Lost (RF)4.89 – (RA)4.33

Road Favorite: 6 Win -3 Lost (RF)6.67 – (RA)4.33

Road Underdog: 2 Win -4 Lost (RF)2.17 – (RA)2.5

Road Underdog: 2 Win -8 Lost (RF)3.3 – (RA)5.2

Last 3 game: 1 Win 2 Lost (RF)3.33 – (RA)4.33

Last 3 game: 1 Win 2 Lost (RF)5.67 – (RA)6

Last 5 game: 3 Win 2 Lost (RF)4.6 – (RA)4.4

Last 5 game: 1 Win 4 Lost (RF)5.2 – (RA)6.2

Last 7 game: 4 Win 3 Lost (RF)4 – (RA)3.86

Last 7 game: 2 Win 5 Lost (RF)4.43 – (RA)5.14

Last 10 game: 4 Win 6 Lost (RF)3.4 – (RA)4

Last 10 game: 4 Win 6 Lost (RF)4.2 – (RA)4.7

Last 15 game: 6 Win 9 Lost (RF)3.6 – (RA)4.33

Last 15 game: 7 Win 8 Lost (RF)4.53 – (RA)4.47

Team Record

J.A. Happ’s Last 3 game: 3 Win – 0 Lost (RF)4.67 – (RA)3

Robert Gsellman’s Last 3 game: 2 Win – 1 Lost (RF)7.67 – (RA)4

J.A. Happ’s Last 5 game: 3 Win – 1 Lost (RF)3.5 – (RA)2.25

Robert Gsellman’s Last 5 game: 2 Win – 1 Lost (RF)7.67 – (RA)4

J.A. Happ’s Last 7 game: 3 Win – 1 Lost (RF)3.5 – (RA)2.25

Robert Gsellman’s Last 7 game: 2 Win – 1 Lost (RF)7.67 – (RA)4

J.A. Happ’s Last 10 game: 3 Win – 1 Lost (RF)3.5 – (RA)2.25

Robert Gsellman’s Last 10 game: 2 Win – 1 Lost (RF)7.67 – (RA)4

J.A. Happ’s Last 15 game: 3 Win – 1 Lost (RF)3.5 – (RA)2.25

Robert Gsellman’s Last 15 game: 2 Win – 1 Lost (RF)7.67 – (RA)4

J.A. Happ’s Last 20 game: 3 Win – 1 Lost (RF)3.5 – (RA)2.25

Robert Gsellman’s Last 20 game: 2 Win – 1 Lost (RF)7.67 – (RA)4

J.A. Happ’s Last 25 game: 3 Win – 1 Lost (RF)3.5 – (RA)2.25

Robert Gsellman’s Last 25 game: 2 Win – 1 Lost (RF)7.67 – (RA)4

Situations (New York Yankees)

Situations (New York Mets)

Coming off vs. AL East opponent (TAM)

Coming off vs. AL East opponent (BAL)

Coming off a home fav lost

Coming off a road favorite win

Coming off a 1 game losing streak

Coming off a 1 game winning streak

Coming off 2 unders

Coming off 4 overs

Scored 5 runs against in last game

Scored 4 runs against in last game

Trends

Query

O/U

Query	SU	O/U
When NY METS team played as a Home team – During a night game – Vs. Left handed pitchers – Coming off a 1 game win – Allowed 4 runs AGAINST in their last game	5-5	8-2-0

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.

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