Upcoming Games for December 18, 2025
| Time | Teams | Goalies | Win | Best ML | Best Spread | Goals | Total Goals | Best O/U | More Details | |
|---|---|---|---|---|---|---|---|---|---|---|
| Chicago Blackhawks (13-14-6) Montreal Canadiens (17-12-4) | Spencer Knight Jakub Dobes | 36.9% 63.1% | +160 -172 +165 -169 | +1½-165 -1½+152 +1½-160 -1½+155 | 2.47 3.61 | 6.08 | o5½-118 u5½+102 o5½-115 u6-120 | Volatility Bet Value Active | ||
| Los Angeles Kings (14-10-9) Tampa Bay Lightning (18-12-3) | Darcy Kuemper Jonas Johansson | 41.8% 58.2% | +165 -180 +165 -180 | +1½-160 -1½+142 +1½-150 -1½+145 | 2.44 3.32 | 5.76 | o6+105 u6-120 o5½-120 u6-120 | |||
| Toronto Maple Leafs (15-12-5) Washington Capitals (18-11-4) | Joseph Woll Logan Thompson | 42.3% 57.7% | +140 -150 +131 -142 | +1½-185 -1½+170 +1½-200 -1½+180 | 2.56 3.39 | 5.95 | o5½-125 u6-112 o5½-120 u6-120 | |||
| Edmonton Oilers (16-12-6) Boston Bruins (20-14-0) | Tristan Jarry Jeremy Swayman | 54.7% 45.3% | -128 +120 -124 +120 | -1½+184 +1½-210 -1½+190 +1½-210 | 3.28 2.78 | 6.06 | o6½-108 u6½-105 o6½-105 u6½-110 | |||
| Minnesota Wild (20-9-5) Columbus Blue Jackets (14-13-6) | Filip Gustavsson Jet Greaves | 50.1% 49.9% | -115 +105 -114 +105 | -1½+205 +1½-230 -1½+210 +1½-245 | 3.07 3.05 | 6.12 | o6-120 u6+111 o6-120 u6+105 | |||
| Pittsburgh Penguins (14-9-9) Ottawa Senators (15-13-4) | Arturs Silovs Linus Ullmark | 38.8% 61.2% | +145 -165 +150 -162 | +1½-170 -1½+157 +1½-165 -1½+150 | 2.46 3.53 | 5.99 | o6-125 u6½-112 o6½-105 u6½-110 | |||
| Philadelphia Flyers (17-9-6) Buffalo Sabres (14-14-4) | Daniel Vladař Alex Lyon | 47.7% 52.3% | +128 -135 +120 -130 | +1½-210 -1½+182 +1½-215 -1½+190 | 2.89 3.13 | 6.02 | o6-109 u6+100 o6-115 u6+100 | |||
| New York Rangers (16-15-4) St. Louis Blues (13-15-7) | Igor Shesterkin Jordan Binnington | 60.7% 39.3% | -138 +122 -130 +122 | -1½+186 +1½-220 -1½+195 +1½-220 | 3.36 2.31 | 5.67 | o5½-101 u5½-115 o5½-105 u5½-110 | |||
| Seattle Kraken (12-13-6) Calgary Flames (13-17-4) | Joey Daccord Dustin Wolf | 40.1% 59.9% | +150 -167 +153 -165 | +1½-175 -1½+161 +1½-175 -1½+160 | 2.29 3.32 | 5.61 | o5½-112 u5½+100 o5½-120 u5½+105 | |||
| Dallas Stars (22-7-5) San Jose Sharks (17-14-3) | Jake Oettinger Yaroslav Askarov | 65.7% 34.3% | -196 +179 -193 +180 | -1½+130 +1½-142 -1½+135 +1½-145 | 3.61 2.39 | 6.00 | o6-108 u6-106 o6-105 u6-110 |
Completed Games
| Time | Teams | Win | Best ML | Best Spread | Final Goals | Sportsbook Log Loss | DRatings Log Loss |
|---|---|---|---|---|---|---|---|
| Buffalo Sabres San Jose Sharks | 65.7% 34.3% | -131 +120 -134 +130 | -1½+168 +1½-184 -1½+175 +1½-185 | 4 2 | -0.58864-0.56488 | -0.41939 | |
| St. Louis Blues New York Islanders | 40.2% 59.8% | +143 -153 +140 -154 | +1½-183 -1½+168 +1½-180 -1½+170 | 1 3 | -0.51909-0.52308 | -0.51467 | |
| Dallas Stars Tampa Bay Lightning | 49.3% 50.7% | -113 +102 -115 +110 | -1½+210 +1½-235 -1½+210 +1½-230 | 4 2 | -0.65915-0.63673 | -0.70712 | |
| Utah Mammoth Pittsburgh Penguins | 53.3% 46.7% | -133 +122 -125 +126 | -1½+188 +1½-210 -1½+190 +1½-204 | 6 1 | -0.58173-0.58582 | -0.62901 | |
| Vegas Golden Knights Montreal Canadiens | 67.2% 32.8% | -171 +160 -170 +155 | -1½+147 +1½-162 -1½+150 +1½-160 | 6 2 | -0.47594-0.48418 | -0.39791 | |
| Vancouver Canucks Ottawa Senators | 43.8% 56.2% | +126 -140 +125 -135 | +1½-193 -1½+175 +1½-200 -1½+185 | 4 3 | -0.84084-0.82968 | -0.82535 | |
| Boston Bruins Detroit Red Wings | 51.7% 48.3% | -138 +125 -136 +126 | -1½+183 +1½-205 -1½+190 +1½-200 | 2 1 | -0.56900-0.56976 | -0.66016 | |
| New Jersey Devils Washington Capitals | 50.6% 49.4% | -139 +125 -140 +130 | -1½+172 +1½-190 -1½+190 +1½-188 | 3 2 | -0.56768-0.55696 | -0.68051 | |
| Carolina Hurricanes Columbus Blue Jackets | 69.6% 30.4% | -235 +208 -227 +210 | -1½+107 +1½-120 -1½+107 +1½-120 | 4 5 | -1.15075-1.14803 | -1.19066 | |
| Winnipeg Jets Nashville Predators | 57.2% 42.8% | +127 -139 +130 -125 | +1½-202 -1½+178 +1½-204 -1½+215 | 1 4 | -0.56387-0.57807 | -0.84940 | |
| Colorado Avalanche Florida Panthers | 41.9% 58.1% | +115 -125 +110 -119 | +1½-222 -1½+195 +1½-220 -1½+205 | 7 4 | -0.78592-0.76132 | -0.87079 | |
| Minnesota Wild Calgary Flames | 55.8% 44.2% | -117 +104 -110 +102 | -1½+220 +1½-245 -1½+224 +1½-250 | 3 4 | -0.74190-0.72177 | -0.81688 | |
| Seattle Kraken Los Angeles Kings | 44.5% 55.5% | +147 -159 +147 -160 | +1½-173 -1½+160 +1½-180 -1½+165 | 1 2 | -0.50650-0.50556 | -0.58810 | |
| Chicago Blackhawks Philadelphia Flyers | 40.2% 59.8% | +145 -161 +145 -150 | +1½-170 -1½+160 +1½-175 -1½+168 | 2 3 | -0.50783-0.51896 | -0.51371 | |
| Buffalo Sabres Anaheim Ducks | 61.3% 38.7% | -160 +150 -169 +155 | -1½+153 +1½-165 -1½+145 +1½-160 | 3 2 | -0.50078-0.48503 | -0.48985 | |
| Winnipeg Jets Pittsburgh Penguins | 66.5% 33.5% | -179 +165 -173 +165 | -1½+140 +1½-153 -1½+145 +1½-150 | 4 1 | -0.46259-0.46718 | -0.40747 |
Season Prediction Results
| Games | Record (Pct) | No Pick | +/- | ||
|---|---|---|---|---|---|
| Sportsbooks | 5 | 2-3 (0.400) | 0 | -0.71077 | |
| Sportsbooks | 5 | 2-3 (0.400) | 0 | -0.71245 | |
| DRatings | 5 | 3-2 (0.600) | 0 | -0.67414 | 0.03663 0.03831 |
Season Simulation
*Through all games played on or before 12/16/25| Regular Season | Postseason | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| # | Team | W | L | T | Pts | Make Playoffs | Win Div | Win Conf | Conf. Champ. | Stanley Cup |
| 1 | Colorado Avalanche (24-2-7, 55 pts) | 55.9 | 15.5 | 10.6 | 122.4 | 100.0% | 94.3% | 93.8% | 43.8% | 31.9% |
| 2 | Dallas Stars (22-7-5, 49 pts) | 49.1 | 23.5 | 9.4 | 107.6 | 99.8% | 4.6% | 4.4% | 14.0% | 7.7% |
| 3 | Minnesota Wild (20-9-5, 45 pts) | 45.6 | 26.8 | 9.6 | 100.8 | 96.8% | 1.1% | 1.1% | 7.6% | 3.6% |
| 4 | Carolina Hurricanes (21-9-2, 44 pts) | 50.3 | 25.4 | 6.3 | 106.9 | 97.9% | 67.7% | 56.2% | 25.6% | 12.8% |
| 5 | Anaheim Ducks (20-12-2, 42 pts) | 45.3 | 30.0 | 6.7 | 97.3 | 89.6% | 22.9% | 0.0% | 7.1% | 3.1% |
| 6 | Vegas Golden Knights (16-6-9, 41 pts) | 44.3 | 23.9 | 13.8 | 102.4 | 97.5% | 55.6% | 0.7% | 12.1% | 6.1% |
| 7 | New York Islanders (19-12-3, 41 pts) | 45.1 | 29.3 | 7.6 | 97.9 | 79.8% | 12.5% | 9.9% | 10.2% | 4.1% |
| 8 | Detroit Red Wings (19-12-3, 41 pts) | 42.3 | 31.5 | 8.2 | 92.8 | 54.6% | 12.5% | 2.0% | 3.7% | 1.2% |
| 9 | Washington Capitals (18-11-4, 40 pts) | 44.0 | 29.2 | 8.8 | 96.7 | 75.9% | 9.8% | 6.8% | 9.0% | 3.5% |
| 10 | Boston Bruins (20-14-0, 40 pts) | 44.8 | 32.4 | 4.7 | 94.4 | 64.1% | 18.7% | 2.7% | 5.5% | 1.9% |
| 11 | Philadelphia Flyers (17-9-6, 40 pts) | 41.5 | 29.2 | 11.3 | 94.4 | 59.8% | 4.5% | 3.0% | 4.3% | 1.4% |
| 12 | Tampa Bay Lightning (18-12-3, 39 pts) | 45.0 | 29.4 | 7.6 | 97.6 | 80.4% | 33.3% | 8.3% | 13.6% | 5.9% |
| 13 | Edmonton Oilers (16-12-6, 38 pts) | 41.5 | 29.8 | 10.7 | 93.7 | 78.8% | 10.5% | 0.0% | 5.5% | 2.5% |
| 14 | Montreal Canadiens (17-12-4, 38 pts) | 39.9 | 32.7 | 9.4 | 89.1 | 30.2% | 3.9% | 0.7% | 1.8% | 0.5% |
| 15 | New Jersey Devils (18-14-1, 37 pts) | 43.7 | 32.4 | 5.9 | 93.3 | 55.3% | 4.4% | 2.5% | 5.6% | 2.2% |
| 16 | Los Angeles Kings (14-9-9, 37 pts) | 39.0 | 28.8 | 14.2 | 92.2 | 69.1% | 9.6% | 0.0% | 3.8% | 1.5% |
| 17 | Pittsburgh Penguins (14-9-9, 37 pts) | 36.2 | 31.0 | 14.8 | 87.3 | 22.5% | 0.7% | 0.6% | 0.9% | 0.2% |
| 18 | San Jose Sharks (17-14-3, 37 pts) | 39.4 | 34.2 | 8.4 | 87.2 | 39.4% | 1.3% | 0.0% | 1.0% | 0.3% |
| 19 | Florida Panthers (17-13-2, 36 pts) | 44.3 | 30.9 | 6.8 | 95.4 | 69.6% | 22.0% | 5.6% | 11.9% | 5.0% |
| 20 | New York Rangers (16-15-4, 36 pts) | 39.3 | 33.8 | 8.9 | 87.6 | 21.6% | 0.2% | 0.2% | 1.8% | 0.6% |
| 21 | Toronto Maple Leafs (15-12-5, 35 pts) | 38.6 | 32.8 | 10.5 | 87.8 | 26.4% | 3.1% | 0.5% | 2.0% | 0.8% |
| 22 | Utah Mammoth (16-16-3, 35 pts) | 40.0 | 34.3 | 7.7 | 87.8 | 45.3% | 0.0% | 0.0% | 3.0% | 1.1% |
| 23 | Ottawa Senators (15-13-4, 34 pts) | 40.2 | 32.7 | 9.2 | 89.5 | 34.2% | 5.5% | 0.9% | 3.0% | 1.0% |
| 24 | Columbus Blue Jackets (14-13-6, 34 pts) | 36.9 | 33.7 | 11.4 | 85.2 | 12.7% | 0.2% | 0.1% | 0.5% | 0.1% |
| 25 | Winnipeg Jets (15-15-2, 32 pts) | 39.3 | 35.3 | 7.5 | 86.0 | 37.2% | 0.0% | 0.0% | 1.2% | 0.5% |
| 26 | Buffalo Sabres (14-14-4, 32 pts) | 37.5 | 34.9 | 9.6 | 84.6 | 15.0% | 1.0% | 0.0% | 0.7% | 0.3% |
| 27 | Chicago Blackhawks (13-14-6, 32 pts) | 33.3 | 36.7 | 12.0 | 78.6 | 7.2% | 0.0% | 0.0% | 0.2% | 0.0% |
| 28 | St. Louis Blues (12-15-7, 31 pts) | 31.8 | 37.3 | 12.9 | 76.4 | 4.2% | 0.0% | 0.0% | 0.1% | 0.0% |
| 29 | Nashville Predators (13-15-4, 30 pts) | 35.5 | 36.7 | 9.7 | 80.8 | 12.5% | 0.0% | 0.0% | 0.3% | 0.1% |
| 30 | Seattle Kraken (12-13-6, 30 pts) | 33.1 | 36.6 | 12.3 | 78.4 | 7.1% | 0.1% | 0.0% | 0.1% | 0.0% |
| 31 | Calgary Flames (13-17-4, 30 pts) | 34.2 | 38.0 | 9.8 | 78.2 | 8.0% | 0.0% | 0.0% | 0.1% | 0.0% |
| 32 | Vancouver Canucks (13-17-3, 29 pts) | 35.3 | 38.1 | 8.6 | 79.1 | 7.5% | 0.0% | 0.0% | 0.2% | 0.1% |
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
Randomness, Edge, and Volume in Sports Betting Outcomes
We dig into the data behind variance and expectation.
Top 5 Sweepstakes Sportsbooks
Find out who makes our top five sweepstakes sportsbook list.
2025-2026 NFL Season Preview
Here is our 2025-2026 NFL season preview based on 1,000 simulations.
The Predictive Power of Prediction Markets
Discover how prediction markets deliver accurate forecasts.
Creating a Ratings Model with Bradley-Terry
Modeling with the Bradley-Terry model in Python