Upcoming Games for June 16, 2021
| Time | Teams | Goalies | Win | Best Line | Goals | Total Goals | Best O/U | More Details | |
|---|---|---|---|---|---|---|---|---|---|
| Montreal Canadiens (24-21-11) Vegas Golden Knights (40-14-2) | Carey Price Marc-Andre Fleury | 34.3% 65.7% | +225 -240 +235 -250 | 2.25 3.48 | 5.73 | o5-132 u5+120 o5½+125 u5+115 |
Completed Games
| Time | Teams | Win | Best Line | Final Goals | Sportsbook Log Loss | DRatings Log Loss |
|---|---|---|---|---|---|---|
| Tampa Bay Lightning Carolina Hurricanes | 51.7% 48.3% | -115 +105 -112 +105 | 2 0 | -0.64814-0.65406 | -0.65985 | |
| Winnipeg Jets Montreal Canadiens | 48.0% 52.0% | +130 -140 +133 -140 | 2 3 | -0.55696-0.55144 | -0.65316 | |
| New York Islanders Boston Bruins | 45.2% 54.8% | +175 -190 +170 -185 | 5 4 | -1.03022-1.01255 | -0.79474 | |
| Colorado Avalanche Vegas Golden Knights | 55.4% 44.6% | +102 -107 +100 -108 | 1 5 | -0.67178-0.67446 | -0.80726 | |
| Winnipeg Jets Montreal Canadiens | 48.6% 51.4% | +108 -119 +110 -118 | 1 5 | -0.63380-0.63113 | -0.66475 | |
| Boston Bruins New York Islanders | 51.7% 48.3% | -135 +129 -135 +130 | 1 4 | -0.83965-0.84211 | -0.72792 |
Season Prediction Results
| Games | Record (Pct) | No Pick | +/- | ||
|---|---|---|---|---|---|
| Sportsbooks | 1 | 1-0 (1.000) | 0 | -0.43137 | |
| Sportsbooks | 1 | 1-0 (1.000) | 0 | -0.43700 | |
| DRatings | 1 | 1-0 (1.000) | 0 | -0.48656 | -0.05519 -0.04956 |
Season Simulation
*Through all games played on or before 06/14/21| Regular Season | Postseason | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| # | Team | W | L | T | Pts | Make Playoffs | Win 1st Rd. | Win 2nd Rd. | Conf. Champ. | Stanley Cup |
| 1 | Vegas Golden Knights (40-14-2, 82 pts) | 40.0 | 14.0 | 2.0 | 82.0 | 100.0% | 100.0% | 100.0% | 81.1% | 39.3% |
| 2 | Tampa Bay Lightning (36-17-3, 75 pts) | 36.0 | 17.0 | 3.0 | 75.0 | 100.0% | 100.0% | 100.0% | 50.2% | 31.9% |
| 3 | New York Islanders (32-17-7, 71 pts) | 32.0 | 17.0 | 7.0 | 71.0 | 100.0% | 100.0% | 100.0% | 49.8% | 24.3% |
| 4 | Montreal Canadiens (24-21-11, 59 pts) | 24.0 | 21.0 | 11.0 | 59.0 | 100.0% | 100.0% | 100.0% | 18.9% | 4.5% |
| 5 | Colorado Avalanche (39-13-4, 82 pts) | 39.0 | 13.0 | 4.0 | 82.0 | 100.0% | 100.0% | 0.0% | 0.0% | 0.0% |
| 6 | Carolina Hurricanes (36-12-8, 80 pts) | 36.0 | 12.0 | 8.0 | 80.0 | 100.0% | 100.0% | 0.0% | 0.0% | 0.0% |
| 7 | Boston Bruins (33-16-7, 73 pts) | 33.0 | 16.0 | 7.0 | 73.0 | 100.0% | 100.0% | 0.0% | 0.0% | 0.0% |
| 8 | Winnipeg Jets (30-23-3, 63 pts) | 30.0 | 23.0 | 3.0 | 63.0 | 100.0% | 100.0% | 0.0% | 0.0% | 0.0% |
| 9 | Florida Panthers (37-14-5, 79 pts) | 37.0 | 14.0 | 5.0 | 79.0 | 100.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| 10 | Toronto Maple Leafs (35-14-7, 77 pts) | 35.0 | 14.0 | 7.0 | 77.0 | 100.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| 11 | Washington Capitals (36-15-5, 77 pts) | 36.0 | 15.0 | 5.0 | 77.0 | 100.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| 12 | Pittsburgh Penguins (37-16-3, 77 pts) | 37.0 | 16.0 | 3.0 | 77.0 | 100.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| 13 | Minnesota Wild (35-16-5, 75 pts) | 35.0 | 16.0 | 5.0 | 75.0 | 100.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| 14 | Edmonton Oilers (35-19-2, 72 pts) | 35.0 | 19.0 | 2.0 | 72.0 | 100.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| 15 | Nashville Predators (31-23-2, 64 pts) | 31.0 | 23.0 | 2.0 | 64.0 | 100.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| 16 | St. Louis Blues (27-20-9, 63 pts) | 27.0 | 20.0 | 9.0 | 63.0 | 100.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| 17 | New York Rangers (27-23-6, 60 pts) | 27.0 | 23.0 | 6.0 | 60.0 | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| 18 | Dallas Stars (23-19-14, 60 pts) | 23.0 | 19.0 | 14.0 | 60.0 | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| 19 | Philadelphia Flyers (25-23-8, 58 pts) | 25.0 | 23.0 | 8.0 | 58.0 | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| 20 | Chicago Blackhawks (24-25-7, 55 pts) | 24.0 | 25.0 | 7.0 | 55.0 | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| 21 | Calgary Flames (26-27-3, 55 pts) | 26.0 | 27.0 | 3.0 | 55.0 | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| 22 | Arizona Coyotes (24-26-6, 54 pts) | 24.0 | 26.0 | 6.0 | 54.0 | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| 23 | Ottawa Senators (23-28-5, 51 pts) | 23.0 | 28.0 | 5.0 | 51.0 | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| 24 | Vancouver Canucks (23-29-4, 50 pts) | 23.0 | 29.0 | 4.0 | 50.0 | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| 25 | San Jose Sharks (21-28-7, 49 pts) | 21.0 | 28.0 | 7.0 | 49.0 | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| 26 | Los Angeles Kings (21-28-7, 49 pts) | 21.0 | 28.0 | 7.0 | 49.0 | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| 27 | Columbus Blue Jackets (18-26-12, 48 pts) | 18.0 | 26.0 | 12.0 | 48.0 | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| 28 | Detroit Red Wings (19-27-10, 48 pts) | 19.0 | 27.0 | 10.0 | 48.0 | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| 29 | New Jersey Devils (19-30-7, 45 pts) | 19.0 | 30.0 | 7.0 | 45.0 | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| 30 | Anaheim Ducks (17-30-9, 43 pts) | 17.0 | 30.0 | 9.0 | 43.0 | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| 31 | Buffalo Sabres (15-34-7, 37 pts) | 15.0 | 34.0 | 7.0 | 37.0 | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% |
Hockey Methodology
All of our NHL hockey picks and predictions are listed above along with the odds to win. As of late 2017, we are now taking into account more information to make our predictions as accurate as possible. These predictions should be used for entertainment purposes only.
The current process simulates the regular season 500 times and the playoffs 1,000 times. Our simulations follow all of the rules of the NHL tiebreaker system which are as follows.
- Points: Most points accured by a team. In the case of uneven games played, it is point percentage.
- RW: Games won, not including those from overtime or shootout.
- ROW: Games won, not including those from shootout.
- Total Wins: Full number of wins.
- There are three more criteria which fulfill this list, but it is very unlikely that a scenario would fall this far.
Our projection system for the NHL is at Level 3, which one can read about in our Predictions Disclaimer.
Related Blog Posts
Top 5 Las Vegas Sportsbooks
We discuss the best sportsbooks on the Las Vegas strip.
Building a Sports Betting Bankroll
Discussing the best way to build and manage a sports gambling bankroll.
Getting Information More Quickly to Beat the Books
We discuss how get on top of information more quickly than the sportsbooks.
Could a College Basketball Team Beat an NBA Team?
Discussing whether or not the best college basketball team could beat the worst NBA team on a random night.
Chasing Steam in Sports Betting
Explaining steam moves and what it means to “chase steam” in the betting world.