Week 1 in the NFL is in the books and we are happy to finally have the NFL back. Below is a recap of some of our favorite games from the weekend, and some advice for what to do for week 2.

Miami Dolphins 11 - 21 New England Patriots

The Patriots played their first game without Tom Brady in nearly two decades and found themselves on the winning end of the contest -- a stellar rushing performance from Cam Newton carried New England to a 21-11 win over the Dolphins. The Patriots led 7-3 at halftime but pulled away in the second half with two more touchdowns. Newton completed 15 of his 19 passes for 155 yards, but the former Panthers star made his biggest impact on the ground with 75 yards and two touchdowns in 15 rushes -- Newton led the Patriots in both passing and rushing yards. Julian Edelman was New England’s biggest receiving threat, as the speedy wideout recorded 57 yards in five receptions. Ryan Fitzpatrick completed 20 of his 30 passes for 191 yards, but the turnovers killed him -- he tossed three interceptions. DeVante Parker was Miami’s top offensive performer with 47 yards on four receptions. The Patriots edged the Dolphins in total yards by a sizable margin (357 to 269) despite the fact the Dolphins led in passing yards 182 to 140. New England won this game on the ground.

If you are betting the NFL check out our friends at BetQL and their NFL best bets to see which way their model is betting for every game and every

Green Bay Packers 43 - 34 Minnesota Vikings

The Packers and the Vikings played one of the most intense, scoring-free games in Week 1 of the 2020 NFL regular season, as both teams combined for 77 points -- 38 of those in the fourth quarter alone -- and 904 total yards, including both teams surpassing the 240-yard mark when it came to passing yards. The Packers pulled away in the second quarter when they outscored the Vikings 19-3 and, even though Minnesota attempted a late comeback when they won the second quarter by a 24-14 score, they didn’t have enough time to turn things around. Aaron Rodgers, who made one of the most dazzling plays of Week 1 with an epic TD pass to Davante Adams, completed 32 of his 44 passes for 364 yards and four touchdowns, while Adams himself had quite a night -- 14 receptions, 156 yards, and two scores. Kirk Cousins completed 19 of his 25 passes for 259 yards, two touchdowns, and one interception. Dalvin Cook recorded 50 yards and two touchdowns on 12 carries, and Adam Thielen registered 110 yards and two touchdowns on six receptions.

This game had the over under hit pretty quick, and if you want to get some more over under locks for week 2 check out BetQL’s over under picks dashboard, with BetQL you can see their model rating for each game and find out which way the pros & public are betting 

Cleveland Browns 6 - 38 Baltimore Ravens

The Ravens delivered a statement performance in Week 1 against their division-rival Browns, scoring 38 points on them while allowing just six points -- despite the fact that the Browns racked up 306 total yards. The Ravens, however, finished with 377 total yards and were particularly effective in key situations -- they converted 54 percent of their third-down opportunities. The game was close during the first quarter, as the Ravens edged Cleveland 10-6, but they pulled away for good in the second quarter onwards, scoring 28 unanswered points. Lamar Jackson completed 20 of 25 passes for 275 yards and three touchdowns, and the star quarterback also added 45 yards on the ground. Mark Andrews recorded 58 yards and two scores on five receptions. Baker Mayfield only completed 21 of his 39 passes for one touchdown and one interception. Kareem Hunt racked up 72 yards on 13 carries, while Jarvis Landry had 61 yards on five receptions.

The experts nailed the Ravens pick on the head for week 1, and if you want to find out who the experts are betting for week 2 you can take a look at BetQL’s NFL picks against the spread to see which way the experts are betting for every game. 

Today’s Free Sports Predictions

Date Team Acc Sim% Odds% PS OU
Acc OU
ML Point Spread Total
2025-05-09 19:30:00 09/05
19:30 PM
CLE
IND
63.2
36.7
57.81
46.08
CLE -2.5 229
237

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Date Team Acc Sim% Odds% PS OU
Acc OU
ML SV Total
2025-05-08 20:00:00 08/05
20:00 AM
CAR
WAS
52.3
47.7
61.7
38.3
CAR 0 6
5

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Date Team Acc Sim% Odds% PS OU
Acc OU
ML SV Total
2025-05-08 13:10:00 08/05
13:10 AM
BAL
MIN
34.8
65.2
41.8
58.2
MIN 0 N/A
8

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What is Accuscore?


Accuscore provides predictive analytics on sports, based on the company’s own algorithmic simulation engine which has been under constant development for almost two decades. Sports predictions are an outcome of simulations in which individual games are simulated for thousands of times in order to arrive to the most likely results. These results are then used to create analytical predictions, content and advice for bettors, pundits or any stakeholders in the industry or media field. For the individual US users, Accuscore’s predictions can be accessed through subscription to BetQL.

The Accuscore simulation engine uses the relevant historical data of the players, teams and leagues to predict the outcomes of the games before they have started. The simulation results are based on the individual player performances and weighted according to the teams’ form, opponent and other circumstances that have been proven relevant to the outcome of the match. We have managed to filter out the unnecessary data-points by determining which are important and which are not – this has taken several hundreds of thousands of simulations, cross-references and comparisons of simulation results to actual outcomes.

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Accuscore’s newly implemented model for eSports is currently in its testing phase and the CSGO (Counter Strike: Global Offensive) sports predictions can be found from our sister site.

We also have capability to add leagues on request and provide unique, tailor-made service.

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Accuscore’s simulations provide various advantages for both businesses and individuals. The simulations are based on a sovereign algorithmic system and all the simulations are always ran the exact same way. The only variables are the data inputs which the simulation engine then uses to create the sports predictions according to the algorithmic model. The model has a proven track record and for example the NFL picks have provided constant profit over the years.

The simulations provide probabilities for the outcomes of the games which include – depending of the sport – for example the most likely final result, the amount of goals or points and player performances. These sport predictions can be compared to odds in order to make a more educated betting decision or they can be used to support, oppose or adjust ones view on the betting market.

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