Tag Archives: Northeastern

Who’s in position for the NCAAs with four weeks left in the regular season?

With most conferences having just four weeks of games remaining before their tournaments begin (the Big Ten has five), the field is tightening up a bit compared to my first look at the cutlines.

Still, no one is mathematically a lock — leaving the regular season in the 10-14 range, as is possible for even the top teams, is not safe because each can accumulate two additional losses and no wins in the conference tournament (only in the Big Ten conference tournament is the worst case scenario exiting immediately with a single loss and no wins).

#1 Quinnipiac
#2 St Cloud St
#3 North Dakota
#4 Boston College
#5 Providence
#6 Michigan
#7 Notre Dame
#8 Boston University
#9 Nebraska-Omaha
#10 Yale
#11 Harvard
#12 Denver

Through #12 Denver should be safe for an at-large bid unless they slump and sink below .500 in their remaining games. Teams near the top have more margin for mistakes than near the bottom.

qu

denver

From #13 Mass.-Lowell through #26 Minnesota-Duluth can position themselves for an at-large bid, with those near the bottom requiring near perfect records.

#13 Mass.-Lowell
#14 Cornell
#15 Penn St
#16 Dartmouth
#17 Clarkson
#18 Michigan Tech
#19 Robert Morris
#20 Rensselaer
#21 Minnesota St
#22 Minnesota
#23 Bowling Green
#24 Miami
#25 St. Lawrence
#26 Minnesota-Duluth

masslowell

umd

#27 Northeastern and below would need near perfection and some luck to sneak into position for an at-large bid. Even then, success in the conference tournament would be required to not fall out of position. These teams should plan to do well in their conference tournaments.

#27 Northeastern
#28 Ferris St
#29 Union
#30 Northern Michigan
#31 Air Force
#32 Holy Cross
#33 Bemidji St
#34 New Hampshire
#35 Vermont
#36 Western Michigan
#37 Ohio St
#38 Wisconsin
#39 Mercyhurst
#40 RIT
#41 Merrimack
#42 Bentley
#43 Connecticut
#44 Colgate
#45 Massachusetts
#46 Alaska Anchorage
#47 Michigan St
#48 Maine
#49 Colorado College
#50 Army
#51 Lake Superior
#52 Princeton
#53 Brown
#54 Sacred Heart
#55 Canisius
#56 Alaska
#57 Alabama-Huntsville
#58 Niagara
#59 Arizona St
#60 American International

northeastern

These lines are approximate because it’s entirely possible for a currently lower ranked team to have a better chance of a higher finish than a higher ranked team. Individual teams’ records, remaining games, and opponents can result in different potentials. For example, most of the teams in the 30s have literally no chance of rising onto the bubble, see #35 Vermont, but then you occasionally stumble across a chart like #36 Western Michigan.

vermont

westernmichigan

Methodology

Forecasts include the results of games played through Tuesday of this week.

Each forecast is based on at least one million monte carlo simulations of the games in the described period. For each simulation, the PairWise Ranking (PWR) is calculated and the results tallied. The probabilities presented in the forecasts are the share of simulations in which a particular outcome occurred.

The outcome of each game in each simulation is determined by random draw, with the probability of victory for each team set by their relative KRACH ratings. So, if the simulation set included a contest between team A with KRACH 300 and team B with KRACH 100, team A will win the game in very close to 75% of the simulations. I don’t simulate ties or home ice advantage.

Resources

Playoff cutline movers

It’s been three weeks since my first look at the 2016 cutlines, in which I identified five different tranches of teams. With most teams having played about 6 games and having about 10 remaining, some have managed to noticeably shift their fates.

The article noted that no one was safe (which is still true), but that 1-11 would be fine as long as they didn’t slump with performances approaching .500.

#9 Nebraska-Omaha (then #3) is demonstrating just such a swing, with a 1-5 run since that article. They now need to win about 5 of the remaining 10 to stay on or above the bubble going into conference playoffs.

#14 Cornell (then #7) is also teetering on the edge following a 2-3-1 run. The Big Red need to take at least 6 of the remaining 10 for a chance to stay on the bubble at the end of the regular season.

#26 St. Lawrence (then #10) has plummeted with a 1-6 run, and now needs an improbable 9 out of 10 wins to get back into at-large position.

uno

cornell

stlawrence

The article also observed that the 12-19 teams were very much alive, and generally needed to win 60-80% of their games to stay positioned for an at-large bid. A 3-0-3 run has treated #7 Boston College well (rising from #16). An 0-3-2 run has treated #29 Union (formerly #18) poorly.

bc

Union

In the 20-26 block, which I noted is the lowest from which a team usually manages to break out for an at-large bid, #13 Denver has thus far delivered with a 5-0-1 run. The Pioneers need to keep up that success and win about 6 of the remaining 10 scheduled regular season games to go into the conference tournament on the bubble.

denver

I noted that 27-45 weren’t mathematically eliminated, but needed a near perfect season for a shot (and that those near the top were in much better shape than those near the bottom). Of that group, #22 Miami (then #28) has come the closest with a 3-1-1 performance that still leaves them needing near perfection for a shot at the bubble.

miami

From the 46-60 block, which I predicted needed to win the conference tournament for a bid, #27 Northeastern (formerly #49) has made the most noise with an unexpected 6-0 run (the Huskies were 3-12-4 until that run). However, even if they improbably maintain perfection over the remaining 9 scheduled games, the bubble still seems just on the edge of their reach.

northeastern

Methodology

Forecasts include the results of games played through Sunday of this week, unless otherwise noted.

Each forecast is based on at least one million monte carlo simulations of the games in the described period. For each simulation, the PairWise Ranking (PWR) is calculated and the results tallied. The probabilities presented in the forecasts are the share of simulations in which a particular outcome occurred.

The outcome of each game in each simulation is determined by random draw, with the probability of victory for each team set by their relative KRACH ratings. So, if the simulation set included a contest between team A with KRACH 300 and team B with KRACH 100, team A will win the game in very close to 75% of the simulations. I don’t simulate ties or home ice advantage.

Resources

Big PWR games of the week

#10 Minnesota appears in the Big PWR Game of the Week for a second time. Buoyed by a road split last weekend, the Gophers probably need a better performance hosting #33 Michigan State to avoid falling back down to the bubble.

Getting swept could incite numerous “Time to get rid of the stupid PWR?” forum threads, as Minnesota would likely fall 8-9 places.

minnesota_oneweek

The runner-up, #22 Northeastern, could provide a shock in the other direction by appearing on the bubble if they sweep #6 Boston University.

northeastern_oneweek

Finally, #1 Minnesota State faces the biggest threat to its ranking in weeks with a series hosting #5 Michigan Tech. The Mavericks need a sweep to hold off #2 North Dakota.

mankato_oneweek

michtech