Categories: NFL

Tampa Bay Buccaneers (9.5) vs. Washington Football Team (45.5) Prediction (01/09/2021)

FILE - At left is a 2020 file photo showing Washington Football Team defensive end Chase Young. At right is a 2021 file photo showing Tampa Bay Buccaneers quarterback Tom Brady. Tom Brady plays his first NFL playoff game not in a New England Patriots uniform when he and the Tampa Bay Buccaneers visit defensive rookie of the year frontrunner Chase Young and NFC East champion Washington in the wild card round. Young said after clinching a spot that he wanted Brady, and now he’ll get that chance. (AP Photo/File)

Sports Handicapper Ron Raymond of the Raymond Report Sports Betting Tipsheet, has released his NFC Wild Card prediction and preview on Saturday’s NFL Playoff game between the Tampa Bay Buccaneers vs. Washington Football Team for Saturday, January 9th, 2021.

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Tampa Bay Buccaneers (9.5) vs. Washington Football Team (45.5) Prediction (01/09/2021)

Tampa Bay Buccaneers -9.5 ( -435 ) Vs. Washington Football Team (Total:45.5)

Washington Football Team +9.5 ( +340 ) Vs. Tampa Bay Buccaneers (Total:45.5)

Tampa Bay Buccaneers SIDE :9.5	Vs. Date: 2021-01-09 Time: 20:15:00 Generated from 9 Previous Games	Washington Football Team O/U :45.5
29.8	Forecast (O/U 51.2 )	21.4
4-1	L5(SU)	3-2
3-1-1	L5(ATS)	3-2-0
2-3-0	L5(O/U)	0-5-0
60%	C.O.W	30.43%
38%	C.O.C	58%
62%	C.O.G.O	62%
-8.56	MSV	-0.38
(A) BULLISH	PVI	(C) NEUTRAL
5-1	SU	0-3
3-3-0	ATS	1-2-0
4-2-0	O/U	1-2-0

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.

Types of Teams – When you look at League Standings, you have 3 types of teams.
Tier 1 Teams (A): 60% or higher (Above Average Teams = High Public Confidence = Low Rewards)
Tier 2 Teams (B): 50% to 59.9% (Average Teams = Moderate Public Confidence = Medium Rewards)
Tier 3 Teams (C): 49.9% or Lower (Below Average Teams = Low Public Confidence = High Rewards)

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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