Boston Bruins (5.5) vs. Tampa Bay Lightning (-120) Predictions (08/31/2020)

Boston Bruins (5.5) vs. Tampa Bay Lightning (-120) Predictions (08/31/2020) – Sports Handicapper Ron Raymond has released his NHL prediction on tonight’s NHL hockey game between the Boston Bruins vs. Tampa Bay Lightning for Monday, August 31st, 2020.

Boston Bruins (5.5) vs. Tampa Bay Lightning (-120) Predictions (08/31/2020)

Boston Bruins +1.0 ( 100 ) Vs. Tampa Bay Lightning (Total:5.5)

Tampa Bay Lightning -1.0 ( -120 ) Vs. Boston Bruins (Total:5.5)

Boston Bruins O/U :5.5	Vs. Date: 2020-08-31 Time: 19:00:00 Generated from 39 Previous Games	Tampa Bay Lightning SIDE :-120
1.59	Forecast (O/U 3.66 )	2.07
5-5	L10(SU)	7-3
2-6-2	L10(ATS)	2-5-3
4-6-0	L10(O/U)	3-6-1
70%	C.O.W	18%
44%	C.O.G.O	44%
100	DMVI	100
(A) NEUTRAL	PVI	(A) BULLISH
5-4	SU	5-7
4-4-1	ATS	2-9-1
4-5-0	O/U	4-8-0

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.

Boston Bruins (5.5) vs. Tampa Bay Lightning (-120) Predictions (08/31/2020)

Boston Bruins

Tampa Bay Lightning

Line : 1.0

Line : -1.0

MoneyLine : 100

MoneyLine : -120

O/U : 5.5

Season Record :

SU: 49-33

ATS: 35-45-2

O/U: 33-47-2

SU: 52-30

ATS: 34-45-3

O/U: 41-39-2

Home Record :

SU: 24-18

ATS: 17-24-1

O/U: 17-24-1

SU: 26-15

ATS: 16-22-3

O/U: 24-17-0

Away Record :

SU: 25-15

ATS: 18-21-1

O/U: 16-23-1

SU: 26-15

ATS: 18-23-0

O/U: 17-22-2

Last game: Lost 3 – 1 vs Tampa Bay Lightning

Last game: Won 3 – 1 vs Boston Bruins

SU: 26-30

ATS: 32-25-1

O/U: 22-28-8

SU: 33-27

ATS: 30-30-1

O/U: 27-27-7

Current game: vs. Tampa Bay Lightning

Current game: vs. Boston Bruins

SU: 28-24

ATS: 31-20-2

O/U: 26-23-4

SU: 24-28

ATS: 20-31-2

O/U: 26-23-4

Next Game: Vs.

SU: 0-0

ATS: 0-0-0

O/U: 0-0-0

SU: 0-0

ATS: 0-0-0

O/U: 0-0-0

Days Rest : 1 (Road)

Days Rest : 1 (Home)

(L) SU: (267-331-0 )

ATS: (318-275-5 )

O/U: (286-285-27)

(L) SU: ( 374-307-0)

ATS: (308-370-3)

O/U: (316-336-29)

(T) SU: (8-7)

ATS: (3-11-1)

O/U: (7-7-1)

(T) SU: (16-9)

ATS: (12-11-2)

O/U: (18-7-0)

Streaks : 3 SU Lost – 3 ATS Lost – 1 Under

Streaks : 3 SU Win – 2 ATS Win – 1 Under

Road Teams Strength of Schedule last 7 games: 67.35%

Home Teams Strength of Schedule last 7 games: 44.9%

Situational Stats

Home Favorite: 22 Win -15 Lost (GF)3.24 – (GA)2.62

Home Favorite: 25 Win -15 Lost (GF)3.68 – (GA)2.78

Home Underdog: 0 Win -2 Lost (GF)1 – (GA)5

Home Underdog: 0 Win -0 Lost (GF)N/A – (GA)N/A

Road Favorite: 20 Win -8 Lost (GF)3.25 – (GA)2.21

Road Favorite: 16 Win -10 Lost (GF)3.15 – (GA)2.96

Road Underdog: 5 Win -4 Lost (GF)3 – (GA)2.78

Road Underdog: 7 Win -3 Lost (GF)3.2 – (GA)2.3

Last 3 game: 0 Win 3 Lost (GF)1.67 – (GA)4.67

Last 3 game: 3 Win 0 Lost (GF)4.67 – (GA)1.67

Last 5 game: 2 Win 3 Lost (GF)2 – (GA)3.4

Last 5 game: 4 Win 1 Lost (GF)4.2 – (GA)2.4

Last 7 game: 4 Win 3 Lost (GF)2.43 – (GA)3

Last 7 game: 6 Win 1 Lost (GF)3.71 – (GA)2.14

Last 10 game: 5 Win 5 Lost (GF)2.4 – (GA)2.9

Last 10 game: 7 Win 3 Lost (GF)3.1 – (GA)2.4

Last 15 game: 7 Win 8 Lost (GF)2.27 – (GA)2.8

Last 15 game: 10 Win 5 Lost (GF)3.13 – (GA)2.53

Situations (Boston Bruins)

Situations (Tampa Bay Lightning)

Coming off a vs. Atlantic division Opponent. (T.B.)

Coming off a vs. Atlantic division Opponent. (BOS)

Coming off a home fav lost

Coming off a road underdog win

Coming off a 3 game losing streak

Coming off a 3 game winning streak

Coming off 1 under

Scored 1 goal FOR in last game

Scored 3 or more goals FOR in last game

Scored 3 or more goals AGAINST in last game

Scored 1 goal AGAINST in last game

Coming off a scored 3 goals AGAINST in last game

Coming off a scored 1 goal AGAINST in last game

Coming off a scored 1 goal FOR in last game

Coming off a scored 3 goals FOR in last game

Coming off a 2 goal loss

Coming off 2 game road stand

Coming off 2 game home stand

Coming off a 2 goal win

Coming off 1 day off

Trends

Query	ATS	SU	O/U
When BOSTON team played as a Road team – Total is 6.0 – Last 2 years – Coming off 1 under	6-7-0	7-6	2-9-2

Query	ATS	SU	O/U
When TAMPA BAY team played as a home team – Last 2 years – Coming off a 2 game Road stand	9-4-1	12-2	5-9-0

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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