I don’t think any high school team - no matter how elite - could beat all but the very worst D1 teams (I’m talking last place in the MEAC/SWAC). And certainly not an actual good team like Yale, ice-cold 3pt shooting or not.
It’s like the age-old barroom argument: could the very best college teams (like Calipari’s UK teams with future NBA stars) beat the worst NBA team? Heck no. They would be destroyed.
usually you give up to get. but when you just get but in so doing dont give up anything.. then your chances of achieving a desired outcome go up
one could call it brilliant strategy or just luck.
regardless you fix those variables up front i play the game
Fwiw
I don’t get it. For example, how does Columbia have an 84% chance of making the ILT when they are currently 3-3?
The analytics think they’re a sold bit better than their competitors. They also have a favorable remaining SOS (only 3 road games left, alreadyvplayed @Yale).
I’m sure the analytics lean heavily on the pre-league slate, when Columbia’s record was strong and Princeton’s was woeful.
Down goes Yale! H and Y tied for 1st at 5-2.
If only our guys could have held onto a 14pt lead with 3m left…
…and if only our guys could have managed not to give up scores on 18 consecutive possessions and fall short on the comeback against your guys, plus failing to figure out how to beat Harvard on the road…
You took care of Cornell wire-to-wire after we made them look like an NBA team.
Penn’s size was giving Cornell fits down low at both ends of the floor.
Somehow, Princeton managed to render Columbia’s size and bulk, which gave us fits all night on Friday, pretty much ineffective. I’m going to have to watch the replay to see how that happened.
We packed the paint (blocking 7 shots) and made them shoot FTs, which they went 7-17 on (including a couple of front end 1-and-1s). They had plenty of open 3s as a result but missed almost all of them until the final minutes.
That said, Columbia still grabbed 20 (!!!) offensive boards. So we still got burned by their size.
Here are the new ones which seem go make more sense..
I have to believe a Penn fan developed the model.
Princeton is ranked behind, three teams that have worse records, and two of those
lose the tie-breaker to us. Wh have four home games in the second half. We figured
to be out of the picture based on the roster and non-League play, but the Ivy season seems a non-factor in this “analysis.”
Have to concur! Huge game at Palestra this week, should be fun
I asked luke benz if he has plans to do this season
Thrilled that somehow PENN wasnt virtually eliminated last night
Didnt even watch game
Penn has 5 home games left and figures to be favored in most if not all of them. That probably had some role to play in the model.
I got too busy this year to do my own model but I’m playing around now to see if I can just take a model like Torvik and apply my simulation + tiebreaking code. Many places including T-Rank have simulations which show % in Top 4 w/ ties but applying the correct tiebreaking procedures is really the only way to get a # that makes sense.
I dunno. I think that projections that underestimate their chances are better for the team. Prove ‘em wrong and all that.
Thought id bump this?
What pundit here is looking best for top four, anyone?
Tj power has entered the conversation for poy