Completed Games
| Time | Teams | Win | Best Line | Final Goals | Sportsbook Log Loss | DRatings Log Loss |
|---|---|---|---|---|---|---|
| Tampa Bay Lightning Dallas Stars | 57.6% 42.4% | -175 +160 -170 +156 | 2 0 | -0.46861-0.47884 | -0.55114 | |
| Dallas Stars Tampa Bay Lightning | 40.5% 59.5% | +152 -165 +150 -165 | 3 2 | -0.94907-0.94500 | -0.90419 | |
| Tampa Bay Lightning Dallas Stars | 57.8% 42.2% | -155 +142 -150 +140 | 5 4 | -0.51532-0.52482 | -0.54839 | |
| Tampa Bay Lightning Dallas Stars | 56.9% 43.1% | -160 +146 -155 +148 | 5 2 | -0.50345-0.50700 | -0.56405 | |
| Dallas Stars Tampa Bay Lightning | 43.1% 56.9% | +145 -158 +145 -155 | 2 3 | -0.50730-0.51109 | -0.56349 | |
| Dallas Stars Tampa Bay Lightning | 43.9% 56.1% | +143 -150 +141 -150 | 4 1 | -0.90199-0.89779 | -0.82367 |
Season Prediction Results
| Games | Record (Pct) | No Pick | Log Loss | +/- | |
|---|---|---|---|---|---|
| Sportsbooks | 0 | 0-0 (0.000) | 0 | ||
| Sportsbooks | 0 | 0-0 (0.000) | 0 | ||
| DRatings | 0 | 0-0 (0.000) | 0 |
Season Simulation
*Through all games played on or before 09/28/20| Regular Season | Postseason | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| # | Team | W | L | T | Pts | Make Playoffs | Win 1st Rd. | Win 2nd Rd. | Conf. Champ. | Stanley Cup |
| 1 | Tampa Bay Lightning (60-24-10, 130 pts) | 43.0 | 21.0 | 6.0 | 92.0 | 100.0% | 100.0% | 100.0% | 100.0% | 100.0% |
| 2 | Dallas Stars (52-32-11, 115 pts) | 37.0 | 24.0 | 8.0 | 82.0 | 100.0% | 100.0% | 100.0% | 100.0% | 0.0% |
| 3 | Vegas Golden Knights (51-29-11, 113 pts) | 39.0 | 24.0 | 8.0 | 86.0 | 100.0% | 100.0% | 100.0% | 0.0% | 0.0% |
| 4 | New York Islanders (48-28-14, 110 pts) | 35.0 | 23.0 | 10.0 | 80.0 | 100.0% | 100.0% | 100.0% | 0.0% | 0.0% |
| 5 | Boston Bruins (49-19-15, 113 pts) | 44.0 | 14.0 | 12.0 | 100.0 | 100.0% | 100.0% | 0.0% | 0.0% | 0.0% |
| 6 | Colorado Avalanche (51-24-10, 112 pts) | 42.0 | 20.0 | 8.0 | 92.0 | 100.0% | 100.0% | 0.0% | 0.0% | 0.0% |
| 7 | Philadelphia Flyers (51-27-7, 109 pts) | 41.0 | 21.0 | 7.0 | 89.0 | 100.0% | 100.0% | 0.0% | 0.0% | 0.0% |
| 8 | Vancouver Canucks (46-34-6, 98 pts) | 36.0 | 27.0 | 6.0 | 78.0 | 100.0% | 100.0% | 0.0% | 0.0% | 0.0% |
| 9 | St. Louis Blues (44-25-11, 99 pts) | 42.0 | 19.0 | 10.0 | 94.0 | 100.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| 10 | Washington Capitals (43-24-10, 96 pts) | 41.0 | 20.0 | 8.0 | 90.0 | 100.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| 11 | Pittsburgh Penguins (41-25-7, 89 pts) | 40.0 | 23.0 | 6.0 | 86.0 | 100.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| 12 | Edmonton Oilers (38-28-9, 85 pts) | 37.0 | 25.0 | 9.0 | 83.0 | 100.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| 13 | Columbus Blue Jackets (37-25-18, 92 pts) | 33.0 | 22.0 | 15.0 | 81.0 | 100.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| 14 | Carolina Hurricanes (42-28-6, 90 pts) | 38.0 | 25.0 | 5.0 | 81.0 | 100.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| 15 | Toronto Maple Leafs (38-27-10, 86 pts) | 36.0 | 25.0 | 9.0 | 81.0 | 100.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| 16 | Winnipeg Jets (38-31-6, 82 pts) | 37.0 | 28.0 | 6.0 | 80.0 | 100.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| 17 | New York Rangers (37-31-5, 79 pts) | 37.0 | 28.0 | 5.0 | 79.0 | 100.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| 18 | Calgary Flames (41-31-8, 90 pts) | 36.0 | 27.0 | 7.0 | 79.0 | 100.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| 19 | Nashville Predators (36-28-9, 81 pts) | 35.0 | 26.0 | 8.0 | 78.0 | 100.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| 20 | Florida Panthers (36-29-8, 80 pts) | 35.0 | 26.0 | 8.0 | 78.0 | 100.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| 21 | Minnesota Wild (36-30-7, 79 pts) | 35.0 | 27.0 | 7.0 | 77.0 | 100.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| 22 | Arizona Coyotes (37-34-8, 82 pts) | 33.0 | 29.0 | 8.0 | 74.0 | 100.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| 23 | Chicago Blackhawks (36-34-9, 81 pts) | 32.0 | 30.0 | 8.0 | 72.0 | 100.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| 24 | Montreal Canadiens (36-36-9, 81 pts) | 31.0 | 31.0 | 9.0 | 71.0 | 100.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| 25 | New Jersey Devils (28-29-12, 68 pts) | 28.0 | 29.0 | 12.0 | 68.0 | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| 26 | Buffalo Sabres (30-31-8, 68 pts) | 30.0 | 31.0 | 8.0 | 68.0 | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| 27 | Anaheim Ducks (29-33-9, 67 pts) | 29.0 | 33.0 | 9.0 | 67.0 | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| 28 | Los Angeles Kings (29-35-6, 64 pts) | 29.0 | 35.0 | 6.0 | 64.0 | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| 29 | San Jose Sharks (29-36-5, 63 pts) | 29.0 | 36.0 | 5.0 | 63.0 | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| 30 | Ottawa Senators (25-34-12, 62 pts) | 25.0 | 34.0 | 12.0 | 62.0 | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| 31 | Detroit Red Wings (17-49-5, 39 pts) | 17.0 | 49.0 | 5.0 | 39.0 | 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
Betting Analysis Methodology
A brief explainer on how to use our predictive analysis to get an advantage in the betting markets.
Sports Betting Glossary and Slang
The sports betting glossary provides a list of terms and phrases that are used in the sports betting industry. This terminology is used throughout our site.
Top 5 Las Vegas Sportsbooks
We discuss the best sportsbooks on the Las Vegas strip.
Advantage Betting Using Implied Margin
Implied margin is one of the many ways in which a sharp bettor can find an advantage over a sportbook.
Explaining Log Loss
A quick introduction to the analytic term that is used to judge accuracy.