Tampa Bay Rays vs. Los Angeles Dodgers World Series Preview (10/27/2020)

MLB

Tampa Bay Rays vs. Los Angeles Dodgers World Series Preview (10/27/2020)

Ron Raymond Oct 27, 2020 0

Sports Handicapper Ron Raymond has released his free World Series Game #6 preview and prediction on the baseball game between the Tampa Bay Rays vs. Los Angeles Dodgers for Tuesday, October 27th, 2020.

RAYMOND REPORT LITE (MLB)

Tampa Bay Rays (8.0) vs. Los Angeles Dodgers (-140) Preview (10/27/2020)

Tampa Bay Rays +1.5 ( 120 ) Vs. Los Angeles Dodgers (Total:8.0)

Los Angeles Dodgers -1.5 ( -140 ) Vs. Tampa Bay Rays (Total:8.0)

Tampa Bay Rays (Pitcher: Blake Snell ) TR: Win 9 Loss 7 O/U/P: 10 – 6 – 0 O/U :8.0	Vs. Date: 2020-10-27 Time: 20:08:00 Generated from 32 Previous Games	Los Angeles Dodgers (Pitcher: Tony Gonsolin) TR: Win 4 Loss 4 O/U/P: 2 – 5 – 1 SIDE :-140
4.97	Forecast (O/U 8.57 )	3.6
4-6	L10(SU)	6-4
5-5-0	L10(O/U)	8-2-0
51%	C.O.W	31%
43%	C.O.G.O	43%
-147	DMVI	-193
(A) NEUTRAL	PVI	(A) BULLISH
4-1	SU	4-4
4-1-0	O/U	5-4-0

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.

Tampa Bay Rays vs. Los Angeles Dodgers World Series Game #6 Preview (10/27/2020)

Tampa Bay Rays

Los Angeles Dodgers

Line : 1.5

Line : -1.5

MoneyLine : 120

MoneyLine : -140

O/U : 8.0

Season Record :

SU: 51-28

O/U: 35-42-2

SU: 54-22

O/U: 36-34-6

Home Record :

SU: 29-13

O/U: 21-20-1

SU: 27-12

O/U: 15-19-5

Away Record :

SU: 22-15

O/U: 14-22-1

SU: 27-10

O/U: 21-15-1

Last game: Lost 4 – 2 vs Los Angeles Dodgers ( Tyler Glasnow )

Last game: Win 4 – 2 vs Tampa Bay Rays ( Clayton Ker

Current game: vs. Los Angeles Dodgers ( Tony Gonsolin )

Current game: vs. Tampa Bay Rays ( Blake Snell )

Next Game: Vs.

Streaks : 1 SU Lost – 1 Under

Streaks : 1 SU Win – 1 Under

Road Teams Strength of Schedule last 7 games: 63.27%

Home Teams Strength of Schedule last 7 games: 46.94%

Situational Stats

Home Favorite: 22 Win -9 Lost (RF)4.81 – (RA)3.52

Home Favorite: 27 Win -12 Lost (RF)5.51 – (RA)3.31

Home Underdog: 7 Win -4 Lost (RF)4 – (RA)4.27

Home Underdog: 0 Win -0 Lost (RF)N/A – (RA)N/A

Road Favorite: 14 Win -8 Lost (RF)5.27 – (RA)3.95

Road Favorite: 27 Win -10 Lost (RF)6.16 – (RA)3.95

Road Underdog: 8 Win -7 Lost (RF)3.87 – (RA)4.27

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

Last 3 game: 1 Win 2 Lost (RF)4 – (RA)5.67

Last 3 game: 2 Win 1 Lost (RF)5.67 – (RA)4

Last 5 game: 2 Win 3 Lost (RF)4.2 – (RA)5.8

Last 5 game: 3 Win 2 Lost (RF)5.8 – (RA)4.2

Last 7 game: 3 Win 4 Lost (RF)4.14 – (RA)5.43

Last 7 game: 5 Win 2 Lost (RF)5.57 – (RA)3.57

Last 10 game: 4 Win 6 Lost (RF)4 – (RA)4.8

Last 10 game: 6 Win 4 Lost (RF)6.3 – (RA)4.6

Last 15 game: 8 Win 7 Lost (RF)3.8 – (RA)4.07

Last 15 game: 10 Win 5 Lost (RF)6 – (RA)4

Team Record

Blake Snell’s Last 3 game: 0 Win – 3 Lost (RF)2.33 – (RA)4.67

Tony Gonsolin’s Last 3 game: 1 Win – 2 Lost (RF)4.67 – (RA)4.67

Blake Snell’s Last 5 game: 1 Win – 4 Lost (RF)2.4 – (RA)4.8

Tony Gonsolin’s Last 5 game: 2 Win – 3 Lost (RF)2.8 – (RA)4.2

Blake Snell’s Last 7 game: 2 Win – 5 Lost (RF)2.43 – (RA)4.29

Tony Gonsolin’s Last 7 game: 3 Win – 4 Lost (RF)4.14 – (RA)4

Blake Snell’s Last 10 game: 4 Win – 6 Lost (RF)3.4 – (RA)3.9

Tony Gonsolin’s Last 10 game: 4 Win – 5 Lost (RF)3.78 – (RA)3.78

Blake Snell’s Last 15 game: 8 Win – 7 Lost (RF)4.4 – (RA)4

Tony Gonsolin’s Last 15 game: 4 Win – 5 Lost (RF)3.78 – (RA)3.78

Blake Snell’s Last 20 game: 9 Win – 8 Lost (RF)4.41 – (RA)4.18

Tony Gonsolin’s Last 20 game: 4 Win – 5 Lost (RF)3.78 – (RA)3.78

Blake Snell’s Last 25 game: 9 Win – 8 Lost (RF)4.41 – (RA)4.18

Tony Gonsolin’s Last 25 game: 4 Win – 5 Lost (RF)3.78 – (RA)3.78

Situations (Tampa Bay Rays)

Situations (Los Angeles Dodgers)

Coming off vs. NL West opponent (LAD)

Coming off vs. AL East opponent (TAM)

Coming off a home underdog lost

Coming off a road favorite win

Coming off a 1 game losing streak

Coming off a 1 game winning streak

Coming off 1 under

Scored 4 runs against in last game

Scored 2 runs against in last game

Coming off a 3 Game Home Stand

Coming off a 3 Game Road Trip

Trends

Query

O/U

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.

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