ChanceBot Simulations: Week 13 NFL Game Impacts
Every week, ChanceBot.com measures the playoff implications (Impact) of each remaining NFL game.
Impact is determined by calculating the degree to which the outcome of each game changes playoff chances for each team.
The total impact of a game is the sum of the team-by-team changes. A detailed example of how these values are calculated is included below.
TOP NEWS
.jpg)
Colts Release Kenny Moore

Projecting Every NFL Team's Starting Lineup 🔮

Rookie WRs Who Will Outplay Their Draft Value 📈
What follows are the Impact values for Week 13...
| Cleveland at Arizona | 78.1 |
| Detroit at Minnesota | 65.0 |
| NY Giants at Chicago | 55.4 |
| Seattle at Philadelphia | 53.8 |
| San Diego at Kansas City | 45.9 |
| Houston at Tennessee | 43.0 |
| Buffalo at Washington | 36.8 |
| Tampa Bay at New Orleans | 34.2 |
| Denver at Oakland | 19.6 |
| Cincinnati at Pittsburgh | 15.4 |
| Jacksonville at Indianapolis | 11.4 |
| San Francisco at Carolina | 1.3 |
| New England at Baltimore | 0.4 |
| Atlanta at St. Louis | 0.3 |
| Green Bay at Dallas | 0.0 |
| NY Jets at Miami | 0.0 |
How Impact Is Calculated
Imagine a simple scenario in which Teams A and B are playing in the final week of the season.
Suppose there's a third team, Team C, which has a 50 percent chance of making the playoffs (depending on outcomes of other games) if Team A wins. If Team B wins, on the other hand, Team C will have only a five percent chance of making the playoffs.
The impact of the game between A and B on Team C is 45—the difference between 50 and five.
The total impact of A vs. B is determined by adding the game's individual impacts on each of the teams in the league.
Mark Myers is the founder and primary developer at ChanceBot.com, a sports simulation and analysis website. He can be reached at chancebot@gmail.com

.png)





