Categories: NFL

Tampa Bay Buccaneers vs. New York Giants NFL Prediction (11/02/2020)

Sports Handicapper Ron Raymond has released his free NFL Monday Night Football Preview and Prediction on tonight’s football game between the Tampa Bay Buccaneers vs. New York Giants for Monday, November 2nd, 2020.

RAYMOND REPORT LITE (NFL)

Tampa Bay Buccaneers (11.5) vs. New York Giants (44.5) Preview (11/02/2020)

Tampa Bay Buccaneers -11.5   ( -625 ) Vs. New York Giants (Total:44.5) New York Giants +11.5  ( +483 ) Vs. Tampa Bay Buccaneers (Total:44.5)

Tampa Bay Buccaneers
SIDE :11.5

Vs.
Date: 2020-11-02
Time: 21:15:00
Generated from 6
Previous Games

New York Giants
O/U :44.5

28.25 Forecast
(O/U 52.75 )
24.5
4-1 L5(SU) 1-4
3-1-1 L5(ATS) 3-2-0
2-3-0 L5(O/U) 2-3-0
50% C.O.W 50%
33% C.O.C 38%
62% C.O.G.O 62%
-12.05 MSV 8
(A) NEUTRAL PVI (C) NEUTRAL
1-1 SU 0-1
1-1-0 ATS 0-1-0
1-1-0 O/U 0-1-0
WHAT DOES THIS MEAN? (CFL,NFL & NCAAF)
C.O.W. = (Chances of Winning) – The ‘C.O.W.’ percentage is based on a teams win/lost record using their short and long-term win/lost record. After we process it through our ‘math predictor’, we then provide a ‘CHANCES OF WINNING’ percentage for their next game, which let’s you know if there’s any value on betting that team.

C.O.C. = (Chances of Covering) – The ‘C.O.C.’ percentage is based on a teams win/lost record from a ‘Point Spread’ perspective and not their ‘straight up’ (SU) record, using the teams short and long-term win/lost record. After we process it through our ‘math predictor’, we then provide a ‘CHANCES OF COVERING’ percentage for that team in their next game, which let’s you know if there’s any value on betting that team.

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.

MSV = (Market Spread Value) – The MSV is our researched and calculated line compared to the bookmaker’s line. When calculating the MSV, 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.

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

Tampa Bay Buccaneers vs. New York Giants NFL Prediction (11/02/2020)

Tampa Bay Buccaneers New York Giants
Line : -11.5 Line : 11.5
Money Line : -625 Money Line : +483
O/U : 44.5 O/U : 44.5
Season Record : Season Record :
SU: 5-2 ATS: 4-2-1 O/U: 4-3-0
SU: 1-6 ATS: 4-3-0 O/U: 2-5-0
Home Record : Home Record :
SU: 3-0 ATS: 2-0-1 O/U: 2-1-0
SU: 1-2 ATS: 0-3-0 O/U: 1-2-0
Away Record : Away Record :
SU: 2-2 ATS: 2-2-0 O/U: 2-2-0
SU: 0-4 ATS: 4-0-0 O/U: 1-3-0
Last game: Win 45 – 20 vs LAS VEGAS RAIDERS Last game: Lost 21 – 22 vs PHILADELPHIA EAGLES
SU: 2-0 ATS: 2-0-0 O/U: 1-1-0
SU: 17-7 ATS: 14-8-2 O/U: 14-9-1
Current game: vs. New York Giants Current game: vs. Tampa Bay Buccaneers
SU: 1-6 ATS: 4-2-1 O/U: 2-5-0
SU: 6-1 ATS: 2-4-1 O/U: 2-5-0
Next Game: Vs. NEW ORLEANS SAINTS Next Game: At WASHINGTON REDSKINS
SU: 3-9 ATS: 4-8-0 O/U: 5-6-1
SU: 16-15 ATS: 14-16-1 O/U: 18-12-1
Days Rest : 7 (RF) Days Rest : 10 (HD)
(L) SU: (1-1-0 ) ATS: (1-1-0 ) O/U: (1-1-0)
(L) SU: ( 2-1-0) ATS: (2-1-0) O/U: (2-1-0)
(T) SU: (0-0) ATS: (0-0-0) O/U: (0-0-0)
(T) SU: (0-0) ATS: (0-0-0) O/U: (0-0-0)
Streaks : 2 SU Win – 2 ATS Win – 1 Over Streaks : 1 SU Lost – 1 ATS Win – 2 Under
Road Teams Strength of Schedule last 7 games: 44.44% Home Teams Strength of Schedule last 7 games: 33.33%
Situational Stats Situational Stats
Home Favorite: 2 Win -0 Lost   (PF)34.5 – (PA)24 Home Favorite: 1 Win -0 Lost   (PF)20 – (PA)19
Home Underdog: 1 Win -0 Lost   (PF)38 – (PA)10 Home Underdog: 0 Win -2 Lost   (PF)12.5 – (PA)31
Road Favorite: 2 Win -1 Lost   (PF)30.67 – (PA)16.67 Road Favorite: 0 Win -0 Lost   (PF)N/A – (PA)N/A
Road Underdog: 0 Win -1 Lost   (PF)23 – (PA)34 Road Underdog: 0 Win -4 Lost   (PF)19.25 – (PA)23.25
Last 3 game: 2 Win 1 Lost    (PF)34 – (PA)16.67 Last 3 game: 1 Win 2 Lost    (PF)25 – (PA)26
Last 5 game: 4 Win 1 Lost    (PF)33.6 – (PA)18.2 Last 5 game: 1 Win 4 Lost    (PF)18.6 – (PA)26.2
Last 7 game: 5 Win 2 Lost   (PF)31.71 – (PA)20.29 Last 7 game: 1 Win 6 Lost   (PF)17.43 – (PA)24.86
Last 10 game: 5 Win 2 Lost   (PF)31.71 – (PA)20.29 Last 10 game: 1 Win 6 Lost   (PF)17.43 – (PA)24.86
Last 15 game: 5 Win 2 Lost   (PF)31.71 – (PA)20.29 Last 15 game: 1 Win 6 Lost   (PF)17.43 – (PA)24.86
Situations (Tampa Bay Buccaneers) Situations (New York Giants)
Coming off a vs AFC West opponent (VEGAS) Coming off a vs NFC East opponent (PHI)
Coming off a road favorite win Coming off a road underdog lost
Coming off a 2 game winning streak Coming off 2 unders
Coming off 1 over Coming off a game scored 21 points or less
Coming off a game scored 40 points or more Coming off a game scored 21 points or more against
Coming off a game scored 20 points or less against Coming off 1 ATS win
Trends Trends
Query ATS SU O/U
Query ATS SU O/U
When ANY NFL Team played as a Home team – Vs Non Division Opponent – During the month of November – Coming off 2 unders – Scored more than 20 points in back to back games 16-7-0 19-4 13-10-0
Ron Raymond

Ron Raymond is a well-known sports handicapper who runs ATS Stats and the Raymond REPORT. He has over 21 years of experience in the industry and provides expert analysis and predictions for various sports, including football, baseball, hockey, and basketball.

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