Upcoming Games for December 19, 2025
| Time | Teams | Goalies | Win | Best ML | Best Spread | Goals | Total Goals | Best O/U | More Details | |
|---|---|---|---|---|---|---|---|---|---|---|
| Dallas Stars (23-7-5) Anaheim Ducks (20-12-2) | Jake Oettinger Lukáš Dostál | 52.5% 47.5% | +102 -111 -102 -105 | +1½-244 -1½+215 -1½+230 +1½-260 | 3.30 3.03 | 6.33 | o6½+108 u6½-115 o6½-105 u6½-115 |
Games In Progress
Completed Games
| Time | Teams | Win | Best ML | Best Spread | Final Goals | Sportsbook Log Loss | DRatings Log Loss |
|---|---|---|---|---|---|---|---|
| Anaheim Ducks New York Islanders | 32.8% 67.2% | +214 -237 +218 -235 | +1½-122 -1½+107 +1½-125 -1½+107 | 3 1 | -1.16571-1.17270 | -1.11557 | |
| Philadelphia Flyers Boston Bruins | 35.2% 64.8% | +137 -148 +145 -145 | +1½-168 -1½+160 +1½-170 -1½+160 | 2 0 | -0.88143-0.89610 | -1.04472 | |
| St. Louis Blues Ottawa Senators | 45.4% 54.6% | +165 -183 +170 -170 | +1½-157 -1½+142 +1½-155 -1½+145 | 1 8 | -0.45969-0.46262 | -0.60493 | |
| Calgary Flames Vegas Golden Knights | 39.6% 60.4% | +137 -153 +152 -152 | +1½-168 -1½+152 +1½-160 -1½+150 | 0 5 | -0.52930-0.50556 | -0.50355 | |
| Carolina Hurricanes Vancouver Canucks | 52.6% 47.4% | -127 +114 -124 +120 | -1½+198 +1½-220 -1½+197 +1½-220 | 4 3 | -0.60717-0.59946 | -0.64192 | |
| San Jose Sharks Utah Mammoth | 30.4% 69.6% | +234 -260 +240 -258 | +1½-110 -1½-103 +1½-110 -1½-104 | 5 4 | -1.22738-1.23846 | -1.19142 | |
| Chicago Blackhawks Colorado Avalanche | 27.0% 73.0% | +167 -180 +171 -174 | +1½-143 -1½+130 +1½-145 -1½+135 | 5 2 | -0.99932-1.00098 | -1.30771 | |
| Toronto Maple Leafs Winnipeg Jets | 41.6% 58.4% | -108 -102 -108 +100 | -1½+236 +1½-246 -1½+225 +1½-250 | 6 4 | -0.67930-0.67446 | -0.87748 | |
| Nashville Predators Tampa Bay Lightning | 43.8% 56.2% | +120 -132 +123 -132 | +1½-197 -1½+175 +1½-200 -1½+180 | 2 3 | -0.58717-0.58118 | -0.57672 | |
| Florida Panthers Buffalo Sabres | 57.5% 42.5% | -145 +133 -142 +135 | -1½+167 +1½-188 -1½+173 +1½-190 | 5 2 | -0.54531-0.54535 | -0.55370 | |
| Edmonton Oilers Columbus Blue Jackets | 63.7% 36.3% | -231 +208 -232 +210 | -1½+102 +1½-118 -1½+103 +1½-120 | 1 6 | -1.14725-1.15255 | -1.01291 | |
| Ottawa Senators Colorado Avalanche | 37.2% 62.8% | +151 -158 +165 -170 | +1½-158 -1½+150 +1½-155 -1½+145 | 4 5 | -0.50112-0.46959 | -0.46534 | |
| Anaheim Ducks New Jersey Devils | 28.4% 71.6% | +284 -325 +290 -332 | +1½+115 -1½-123 +1½+115 -1½-125 | 2 6 | -0.29308-0.28791 | -0.33441 | |
| Montreal Canadiens Philadelphia Flyers | 41.7% 58.3% | +156 -170 +160 -175 | +1½-163 -1½+147 +1½-160 -1½+142 | 4 3 | -0.96006-0.97625 | -0.87584 | |
| Edmonton Oilers Detroit Red Wings | 61.1% 38.9% | -252 +233 -264 +235 | -1½-103 +1½-110 -1½-105 +1½-110 | 3 2 | -0.35028-0.34472 | -0.49302 | |
| Pittsburgh Penguins Vancouver Canucks | 36.4% 63.6% | +189 -202 +181 -200 | +1½-136 -1½+125 +1½-135 -1½+125 | 3 4 | -0.41694-0.42776 | -0.45315 |
Season Prediction Results
| Games | Record (Pct) | No Pick | +/- | ||
|---|---|---|---|---|---|
| Sportsbooks | 2 | 1-1 (0.500) | 0 | -0.64488 | |
| Sportsbooks | 2 | 1-1 (0.500) | 0 | -0.63910 | |
| DRatings | 2 | 1-1 (0.500) | 0 | -0.70469 | -0.05981 -0.06558 |
Season Simulation
*Through all games played on or before 12/18/25| 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) | 56.0 | 15.5 | 10.4 | 122.5 | 100.0% | 92.9% | 92.2% | 43.7% | 31.8% |
| 2 | Dallas Stars (23-7-5, 51 pts) | 50.1 | 22.7 | 9.2 | 109.3 | 99.8% | 6.5% | 6.4% | 14.8% | 8.8% |
| 3 | Minnesota Wild (21-9-5, 47 pts) | 46.3 | 26.0 | 9.6 | 102.3 | 98.4% | 0.6% | 0.6% | 8.0% | 4.1% |
| 4 | Carolina Hurricanes (22-9-2, 46 pts) | 51.1 | 24.7 | 6.2 | 108.4 | 99.3% | 71.1% | 62.7% | 26.7% | 13.4% |
| 5 | Vegas Golden Knights (16-6-10, 42 pts) | 43.4 | 23.8 | 14.8 | 101.6 | 97.6% | 54.0% | 0.6% | 10.8% | 5.0% |
| 6 | Washington Capitals (19-11-4, 42 pts) | 44.9 | 28.4 | 8.7 | 98.4 | 82.1% | 12.9% | 10.2% | 11.0% | 4.3% |
| 7 | Anaheim Ducks (20-12-2, 42 pts) | 45.2 | 30.0 | 6.8 | 97.2 | 90.9% | 22.3% | 0.2% | 6.4% | 2.8% |
| 8 | New York Islanders (19-12-3, 41 pts) | 45.0 | 29.3 | 7.7 | 97.8 | 78.6% | 8.4% | 6.9% | 9.2% | 3.5% |
| 9 | Detroit Red Wings (19-13-3, 41 pts) | 41.3 | 32.5 | 8.2 | 90.8 | 42.2% | 10.2% | 1.0% | 3.1% | 1.0% |
| 10 | Edmonton Oilers (17-12-6, 40 pts) | 42.0 | 29.4 | 10.6 | 94.6 | 82.9% | 13.8% | 0.0% | 6.9% | 3.0% |
| 11 | Philadelphia Flyers (17-10-6, 40 pts) | 40.9 | 29.9 | 11.2 | 93.0 | 52.5% | 2.7% | 2.0% | 3.4% | 1.0% |
| 12 | Boston Bruins (20-15-0, 40 pts) | 44.0 | 33.2 | 4.8 | 92.8 | 55.4% | 13.1% | 1.6% | 5.1% | 1.5% |
| 13 | Montreal Canadiens (18-12-4, 40 pts) | 40.3 | 32.2 | 9.5 | 90.1 | 38.2% | 6.5% | 0.8% | 2.2% | 0.7% |
| 14 | Tampa Bay Lightning (18-13-3, 39 pts) | 44.3 | 30.2 | 7.5 | 96.1 | 76.4% | 26.0% | 3.7% | 11.1% | 4.6% |
| 15 | New Jersey Devils (19-14-1, 39 pts) | 44.5 | 31.9 | 5.7 | 94.6 | 63.5% | 3.9% | 2.7% | 6.2% | 2.2% |
| 16 | Los Angeles Kings (15-10-9, 39 pts) | 39.4 | 28.7 | 13.9 | 92.7 | 72.4% | 8.5% | 0.0% | 3.6% | 1.6% |
| 17 | Florida Panthers (18-13-2, 38 pts) | 45.0 | 30.4 | 6.6 | 96.6 | 78.5% | 32.4% | 6.3% | 13.2% | 5.5% |
| 18 | New York Rangers (17-15-4, 38 pts) | 39.8 | 33.4 | 8.9 | 88.4 | 26.4% | 0.7% | 0.4% | 2.1% | 0.7% |
| 19 | Utah Mammoth (17-16-3, 37 pts) | 41.0 | 33.3 | 7.7 | 89.7 | 60.7% | 0.0% | 0.0% | 3.6% | 1.6% |
| 20 | San Jose Sharks (17-15-3, 37 pts) | 38.7 | 35.1 | 8.2 | 85.6 | 28.4% | 1.3% | 0.0% | 0.8% | 0.3% |
| 21 | Pittsburgh Penguins (14-10-9, 37 pts) | 35.3 | 31.8 | 14.9 | 85.5 | 15.0% | 0.2% | 0.2% | 0.6% | 0.1% |
| 22 | Ottawa Senators (16-13-4, 36 pts) | 41.0 | 31.9 | 9.2 | 91.1 | 43.2% | 8.7% | 1.2% | 3.7% | 1.3% |
| 23 | Toronto Maple Leafs (15-13-5, 35 pts) | 37.7 | 33.7 | 10.6 | 85.9 | 18.3% | 1.4% | 0.0% | 1.1% | 0.3% |
| 24 | Buffalo Sabres (15-14-4, 34 pts) | 38.2 | 34.4 | 9.4 | 85.8 | 19.3% | 1.7% | 0.2% | 1.0% | 0.3% |
| 25 | Columbus Blue Jackets (14-14-6, 34 pts) | 36.3 | 34.3 | 11.3 | 84.0 | 11.1% | 0.1% | 0.1% | 0.3% | 0.1% |
| 26 | St. Louis Blues (13-15-8, 34 pts) | 32.0 | 36.3 | 13.7 | 77.7 | 6.4% | 0.0% | 0.0% | 0.0% | 0.0% |
| 27 | Winnipeg Jets (15-16-2, 32 pts) | 38.2 | 36.4 | 7.4 | 83.7 | 26.0% | 0.0% | 0.0% | 0.9% | 0.4% |
| 28 | Calgary Flames (14-17-4, 32 pts) | 34.9 | 37.7 | 9.4 | 79.2 | 8.4% | 0.0% | 0.0% | 0.1% | 0.0% |
| 29 | Chicago Blackhawks (13-15-6, 32 pts) | 32.7 | 37.3 | 12.0 | 77.3 | 5.4% | 0.0% | 0.0% | 0.1% | 0.0% |
| 30 | Nashville Predators (13-16-4, 30 pts) | 35.0 | 37.3 | 9.7 | 79.8 | 9.5% | 0.0% | 0.0% | 0.2% | 0.0% |
| 31 | Seattle Kraken (12-14-6, 30 pts) | 32.3 | 37.5 | 12.1 | 76.8 | 3.7% | 0.0% | 0.0% | 0.0% | 0.0% |
| 32 | Vancouver Canucks (13-17-3, 29 pts) | 35.3 | 38.0 | 8.7 | 79.3 | 9.5% | 0.1% | 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