Conference / Non Conference opponent tracker 25-26

psyclone

Hall of Famer
Upset alert.

GW, down 13 to Delaware at one point has cut the deficit to 2 at the half on Monumental (Verizon #576).
Not good for the A10 (GW is an 18 pt favorite), although I just caught the last 3-4 minutes of the half and Delaware was really struggling to defend down low.

Perhaps of greater interest, Justyn Fernandez has 20 of Delaware's 31 pts! If I remember correctly, Fernandez had one of his better games as a Patriot at the Smith Center.

vcu ahead at home vs #86 New Mexico by 5 at the half.
 
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jruby

Starter
Upset alert.

GW, down 13 to Delaware at one point has cut the deficit to 2 at the half on Monumental (Verizon #576).
Not good for the A10 (GW is an 18 pt favorite), although I just caught the last 3-4 minutes of the half and Delaware was really struggling to defend down low.

Perhaps of greater interest, Justyn Fernandez has 20 of Delaware's 31 pts! If I remember correctly, Fernandez had one of his better games as a Patriot at the Smith Center.

vcu ahead at home vs #86 New Mexico by 5 at the half.
Came to say Fernandez is tearing GW apart. Maybe Chris will cry at half court if they lose.
 

psyclone

Hall of Famer
GW loses by 12 to #286 Delaware. Play at Florida in a few days.

vcu loses by 3 to #86 New Mexico ---2 turnovers in last 45 seconds plus a difficult shot in the paint (while travelling (but not called) with a chance to tie with a 2. Looked terrible in the clutch.
 

psyclone

Hall of Famer
GW loses by 12 to #286 Delaware. Play at Florida in a few days.

vcu loses by 3 to #86 New Mexico ---2 turnovers in last 45 seconds plus a difficult shot in the paint (while travelling (but not called) with a chance to tie with a 2. Looked terrible in the clutch.
GW drops from #60 to #79 with the loss. Fernandez with career high 27 for Delaware.

vcu from #41 to #43 with the loss to New Mexico (ranked 4 in Mountain West)
 

GMUgemini

Hall of Famer
⭐️ Donor ⭐️
GW drops from #60 to #79 with the loss. Fernandez with career high 27 for Delaware.

vcu from #41 to #43 with the loss to New Mexico (ranked 4 in Mountain West)

The Delaware loss really hurts the conference (but maybe GW is the new St. Joes and finishes 6th and it doesn’t matter much).

vcu’s loss doesn’t help (they dropped out of the top 50, but are still sitting at 57 despite already having 4 losses).

Teams we need to see keep moving up and filling in the gap: St. Bonaventure (currently 78–close to a Q1 road game), Dayton (inexplicably sitting at 85th), URI (just outside the top 100 at 107–would like to see them sneak into top 100 territory), Davidson (126th—need them to stay in the Q2 road game territory [cutoff at 135]). And of course Mason (just outside the top 50 at 55–hopefully finish the season lower than 50th).
 

Verdad

Starter
⭐️ Donor ⭐️
Unfortunately, it looks like different year, same result. We are going to be that league with several teams in the first 10 out category. In order to be eligible for at large we really want to be top 40.
 

GMUgemini

Hall of Famer
⭐️ Donor ⭐️
Are you guys talking about the NET? I see GW at 45 in the NET. GMU at 58. vcu at 47.

Yes. They dropped down to 76 in the NET after losing to Delaware (the official numbers won’t reflect the loss until next week).

The other numbers are Kenpom (which I do think the committee uses as part of their selection process).
 

JimP

Hall of Famer
⭐️ Donor ⭐️
Yes. They dropped down to 76 in the NET after losing to Delaware (the official numbers won’t reflect the loss until next week).

The other numbers are Kenpom (which I do think the committee uses as part of their selection process).
Thanks, I wondered about whether or not kenpom was used by the committee.
 

jruby

Starter

When the NCAA men’s basketball committee decides who makes the tournament — and how teams are seeded — they don’t just look at wins and losses. A key piece of the puzzle is predictive-based metrics, which try to answer a simple question: How good is this team right now, regardless of record?

These metrics focus on how strong a team actually is, using efficiency and game data, rather than simply tallying results. Among the tools on the committee’s team sheets are:
  • KenPom – The Ken Pomeroy ratings are designed to show how strong a team would be if it played tonight, independent of injuries or emotional factors. It’s a math-driven system built on:
    • Offensive efficiency: points scored per 100 offensive possessions
    • Defensive efficiency: points allowed per 100 defensive possessions
      The balance of those two numbers produces an overall measure of team strength.
  • Torvik – Also in use for the 2024–25 season, the Torvik rankings (often called “T-Rank”) use a similar efficiency-based formula:
    • Offensive efficiency: points per 100 possessions
    • Defensive efficiency: points allowed per 100 possessions
      Torvik adds a twist with a “game script” that cuts out data after a contest is essentially decided mathematically, so garbage-time possessions don’t skew the numbers. It also weighs recent performance more heavily:
    • Games from the last 40 days count at 100% value
    • After that, they drop by 1% per day until they’re 80 days old
    • Games older than 80 days still count, but only at 60%
  • BPI (Basketball Power Index) – ESPN’s BPI is framed explicitly as a team strength metric, not a résumé or “accomplishment” metric. A team’s BPI number reflects how many points better or worse per game it is than an average Division I team on a neutral floor. BPI blends:
    • A preseason rating (based on returning production, recruiting, etc.)
    • Game results, which steadily take over as the season unfolds
      As more games are played, the preseason piece fades until it’s almost irrelevant. For each game, BPI factors in:
    • Points and possessions
    • Opponent strength
    • Game site (home/away/neutral)
    • Travel distance
    • Rest for each team
    • Whether the game was played at a high altitude
Together, these predictive metrics give the NCAA committee a clearer picture of how good a team truly is, beyond its win–loss record or number of “quality wins.” They don’t make the decisions on their own, but they help the committee compare teams on something closer to true strength than just the standings
 

jruby

Starter
And they’ll ignore all of it to pass over a mid-major for a mediocre P4 team every chance they can get.
I blame the ACC last year, if Sec doesn't go 14-2 in the Sec Acc Challenge I don't think they get 14 teams last year. I hear you, and don't disagree. I'm just stating what the so called 'metrics' are.
 
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