Tag Archives: St. Lawrence

This weekend’s big PWR movers

As the weekend game results come in during the final few weeks of conference play, college hockey fans start watching the PairWise Rankings tables for big moves that might push teams into, or out of, position for an at-large bid. Here are the teams most likely to be cited on forums and in tweets this weekend for “surprisingly” large moves.

Don’t look down

#14 Penn State is unlikely to benefit much from a pair of wins over #40 Ohio State, but would likely plummet to about #20 (as low as #24 is realistically possible) if swept.

pennstate

Surprise! #15 St. Lawrence could climb just a little with a pair of wins over #10 Yale and #53 Brown, but is facing steep decline to the #22-24 range with a pair of losses (or a more modest decline with a single loss).

stlawrence

#17 Rensselaer won’t move much if they defeat #1 Quinnipiac and #55 Princeton, but face a steep decline of about 9 ranking positions if they drop both.

stlawrence

Going up?

#23 Minnesota Duluth, which I already noted is facing significant upside potential with a visit to #3 North Dakota, could surge to the #14-16 range if they hand the Fighting Hawks a second consecutive conference sweep. Even a single win would likely result in a noticeable climb.

duluth

#25 Robert Morris could excite fans with a likely move into the teens with a pair of wins over #30 Air Force. But remember, they’d need a repeat performance against Canisius next weekend to avoid giving that ground right back.

robertmorris

With two weeks until conference tournaments begin, teams on the bubble need to get hot

Picking up where I left off yesterday, in A few top teams are starting to look like locks for the NCAA tournament, those teams currently ranked #10 and below in the PWR need to do some work to ensure being positioned for an NCAA tournament bid.

If #10 Yale and below lose more than they win, they risk going into conference tournaments in the teens and having to glue themselves to this blog. #11 Boston University and #12 Harvard have very similar outlooks to Yale, each with 4 scheduled regular season games remaining, and each wanting two wins to maintain their current position.

yale

#13 Mass.-Lowell can also maintain its current position, or slip slightly, with a pair of wins. But, that would leave them squarely on the bubble going into conference tournament play.

masslowell

Because the Big Ten regular season extends later into March, #14 Penn State has 6 games remaining. But, the Nittany Lions need 4 wins to make maintaining their #14 ranking the most likely outcome.

pennstate

#15 St. Lawrence has kept me in business this year, with a wild ride from #10 in my inaugural January article, down to as low as #27 at the end of January. I noted back in January that they would need to win about 9 of their last 10 to go into the conference tournament on the bubble. After a 5-0-1 run, the Saints are still positioned for a #13-14 ranking with no more losses, or a #15-16 ranking with one loss.

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stlawrence

The #16 Minnesota Gophers have 6 games remaining, and most likely need 5 wins just to maintain that ranking going into the conference tournament.

That should be no surprise, as all the way back on January 6, I published a chart on Minnesota that suggested Minnesota needed to win about 12 of its remaining 16 to end up ranked #15-16. Including two additional tournament games, Minnesota has gone 8-4 over that period, leaving them little room for additional losses.

minnesota

#17 Rensselaer, #18 Cornell, #19 Michigan Tech, #20 Miami, #21 Dartmouth, and #22 Clarkson all need to win out to be most likely to end the regular season in the #13-14 range.

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clarkson

#23 Minnesota-Duluth has a bit more wiggle room, with a finish in the #14-16 range likely with even just 4 wins in its remaining 6 games. The Bulldogs have the notable RPI improvement possibility, and challenge, of playing #2 St. Cloud and #3 North Dakota on the road.

In late January, I suggested that the Bulldogs would need to win 8/9 out of their final 11 to end up in the 14-16 range. In the interim, they’ve delivered a 3-2 performance, so it’s a modest upside surprise that they might be able to afford two more losses.

minnesotaduluth

Weekend outlook – a new #1?, St. Lawrence, and the bubble watch

Could there be a new #1?

Coming off 3 ties in the last 6 games, Quinnipiac is just damaged enough that falling from #1 has become a realistic possibility. Losses to both Cornell and Colgate this weekend would make a fall to #3-#4 quite likely.

qu

What’s up with St. Lawrence?

After a 1-6 run dropped #27 St. Lawrence from #9 to #26, a pair of wins last weekend failed to advance them in the PWR (on the bottom end of my prediction for that scenario).

StLawrenceHistory

However, you should think of those wins as creating additional ranking potential in the Saints, such that if they can keep winning we could see that potential unleashed in a big jump. Coming out of the weekend between #18 and #22 is reasonably likely if they can notch victories over Rensselaer and Union.

stlawrence

Weekend bubble watch

Looking at #9 Nebraska-Omaha through #18 Minnesota State, only UNO and Dartmouth have really overachieved and underachieved to get there (and Dartmouth wouldn’t be at all surprising if you instead started looking on Jan 4, after a pair of wins vaulted them from #32 to #21).

bubblewatch

#9 Nebraska-Omaha should have a pretty quiet week off, though might slip a little (particularly if Notre Dame experiences success over Vermont and/or BU defeats Mass.).

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#10 Notre Dame and #11 Mass.-Lowell face typical outlooks for their positions — the possibility of a small rise with a pair of wins, or a bit steeper fall with a pair of losses.

notredame

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#12 Denver shouldn’t move much while idle, though might climb a little if Mass.-Lowell and/or Notre Dame falter.

denver

After tumbling a bit from a split last weekend, #13 Yale is unusual in this pack for facing a little more upside than downside potential.

yale

#14 Rensselaer is standing on the edge of a cliff — a couple wins should strengthen its position without much of a corresponding rise in PWR, while a couple of losses could send them plummeting toward 20. Looking at their PWR details, the elevated risk seems to come from a large number of ties in COP that will turn comparisons against them with losses to St. Lawrence and Clarkson.

renssalaer

#15 Dartmouth, #16 Cornell, #17 Penn St, #18 Minnesota St all face noticeably more downside risk from losing than upside potential from winning this week.

dartmouth

cornell

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mankato

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

Weekend PWR outlook (Jan 29-31)

If you missed yesterday’s article, you might want to start with Playoff cutline movers to get some perspective on big movers over the last few weeks and where teams are likely to end the regular season. This article will look at what movements are likely this weekend.

Teams in the top 20 tend to face significantly more downside potential each week than upside. It is pretty intuitive if you think about winning percentages—for a .500 team to climb to the top, it needs to net win a lot more games than the top teams do (which is especially difficult, given that the top teams’ past success is likely correlated with continued wins). However, a few losses can result in a precipitous drop. Teams in the 45-55 range often face similarly disproportionate upside potential, but we don’t notice that as much because it’s less interesting.

#19 Minnesota-Duluth exemplifies the imbalance—with a sweep the Bulldogs are most likely to climb to #18 (though could do a bit better, particularly with SCSU and Denver wins), but if swept is most likely to fall to about #24.

This is a good time for a warning about edge cases. Unexpected things can and do happen. When I talk about “likely” outcomes, those generally only cover 60-70% of the possibilities. So, you could infer that something other than what I call “likely” will occur every 3rd or 4th prediction. That’s why I usually also show you the entire possibilities curve in a graph. Using UMD’s outcomes for this weekend as an example, ranks 15-27 come up in over 1% of scenarios, while ranks 14-30 are mathematically possible (albeit extremely unlikely).

duluth

Having lost 5 of its last 6, #9 Nebraska-Omaha is at risk of falling to the bubble with two more losses.

uno

#10 Yale also faces significant downside facing Rensselaer and Union. A pair of losses could result in a drop to the 15-16 range.

yale

#12 Mass.-Lowell shows the risks of hosting a bottom-ranked team. A pair of wins over Arizona St could result in no movement at all, though a pair of losses would probably drop the River Hawks to 18-19.

masslowell

#26 St Lawrence has plummeted after losing 6 of its last 7. The hole is so deep now that it would take the rest of the regular season to climb back out, with a pair of wins this week most likely only resulting in a climb of about 2 rank positions.

stlawrence

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

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

A look at the bubble teams

If you haven’t read them yet, you might want to start with my articles from earlier this week, Who’s a lock for the NCAA tournament? and Who might fall out of contention for the NCAA tournament? Having visited those two extremes, this article goes into a little more depth on the teams in between.

Background on how PWR matters for tournament selection

Because we get lots of new readers during the tournament season, here’s some background information that my posts generally assume you know:

  • The PWR rankings are not a poll or computer model, but are instead an implementation of the same process the NCAA uses to select its tournament participants. They have correctly predicted the NCAA tournament participants for a decade or two.
  • Each conference gets to send one tournament winner to the NCAA tournament. So, we don’t need to look at the PWR of a team that wins its conference tournament.
  • The remaining 10 slots are given to top teams as ranked by the process implemented in PWR. So, PWR ranks 1-10 are in for sure; but, for 11-16 to make it requires some of the autobids to have gone to teams ranked above them (e.g. if an autobid goes to the team ranked #3, then an extra slot is open for the team ranked #11, and so on).

Because of that structure, we think of teams that are going to finish in the 12-15 range as “on the bubble”. Teams’ prospects are dependent not only on their final ranking, but also on how many lower ranked teams wins conference tournaments. Bubble teams’ chances for an at-large bid increase as slots are freed up by more conference tournaments being won by teams that would have made the NCAA tournament at-large.

A look at the bubble teams

#9 Providence would be on the bubble if eliminated from their conference tournament this weekend. They’d then need a bit of luck to make the NCAA tournament, needing to either climb a bit while idle and/or have a lot of conference tournaments won by top ranked teams.

If Providence wins this weekend, they’ll be in pretty good shape. A semifinal loss would probably push them back down to the high end of the bubble, while a win would nearly lock up a bid.

providence

#10 Boston College is in a very similar position to Providence. They’d be on the bubble if eliminated this weekend and would be watching the other conference tournaments carefully.

If they advance this weekend, they’ll be in pretty good shape — favored, though probably not mathematically secure, for an NCAA bid.

bostoncollege

#11 Bowling Green would likely be pushed down below the bubble if eliminated this weekend. It would take a lot of luck to climb back onto the bubble while idle and have most of the conference tournaments won by top ranked teams.

If Bowling Green advances, they would still probably need a semifinal win to stay on the bubble.

bowlinggreen

#12 Quinnipiac has a chance of staying on the bubble if eliminated this week, but would have to watch future tournament results carefully.

If they advance, another win would probably be needed to stay atop the bubble.

quinnipiac

#13 Yale is likely to be pushed just below the bubble if eliminated this weekend, but would stand a slim chance of climbing onto it dependent on other tournament results.

Advancing this weekend would position them well, but not secure a spot in the NCAAs. With an additional win, Yale would be favored to secure a spot.

yale

#14 Minnesota hasn’t entered conference tournament play yet, so does not face elimination. Getting swept this weekend would put them in a bad spot for an at-large bid, but would also probably force them to play in the Big Ten quarterfinals. The extra game would give them the chance to go 2-1 in the conference tournament and possibly get back onto the bubble.

minnesota

#15 Mass.-Lowell is likely to end well below the bubble if eliminated this weekend. It would take a very unlikely confluence of events for them to move into an at-large bid from that position.

Advancing puts them in a precarious spot on the bubble, such that a subsequent loss would probably push them off.

masslowell

#16 St Cloud St is currently at 11-12-1 so needs one more win than loss in its remaining games to meet the .500 requirement for consideration for the NCAA tournament. So, the Huskies won’t be considered if eliminated this weekend. If they advance (either 2-1 or 2-0), they’ll be in a decent bubble position, but probably need at least one more win.

stscloudst

#17 Harvard will be below the bubble if eliminated this weekend and it’s very unlikely they could slide into position for an at-large bid while idle.

Advancing would put them right on the bubble, such that they’d probably want another win to stay there.

harvard

#18 Colgate is out if eliminated this weekend. Advancing puts them on the low end of the bubble, such that a subsequent loss would probably push them off. Best to advance and win one more.

colgate

#19 Vermont is very likely out if eliminated this weekend. Advancing would put them right on the low end of the bubble, such that another win would probably be required to make the tournament at-large.

vermont

#20 Michigan is not yet in its conference tournament so is not facing elimination this weekend. Two losses would likely put an at-large bid out of reach, while two wins would bring the bubble within sight. A first round bye, though, would reduce their opportunities to climb in the PWR.

michigan

#21 Bemidji State is out if eliminated this weekend. It’s possible, though not particularly likely, that Bemidji State could position itself for an at-large bid by advancing to the conference tournament final and losing.

bemidjist

#22 St. Lawrence is almost identical to Bemidji State. They’re out if they lose this weekend. It’s possible, though not particularly likely, that St. Lawrence could position itself for an at-large bid by advancing to the conference tournament final and losing.

stlawrence

#23 Dartmouth is out if they fail to advance. Dartmouth is better positioned than the teams above it to get an at-large bid by winning a few games then losing the conference final. Winning the conference tournament would be a safer bet.

dartmouth

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