Game Seven: UTEP 81, New Mexico 75

"This was our first road game of the year, and I suspected that this was going to be a mighty battle. The Aggies would have loved to sweep us in the season series, and they had a nice crowd. But there was a big difference between the crowd and the way the Lobos played. #33 (Elise Connery) killed us in that first game, but she was flat in this one.

Frankly, they really weren't much of a challenge. I think we were about five minutes in or something and we held them to no rebounds. We begin building a lead, but we can't get it above 20 points - I think it was 19 a few times. The final score was only because the Aggies got a little bit hot at the end, and because we had our second team in for a big part of the second half.

Toya (LaToya Lloyd) and I picked up four fouls after the second half and we sat out large parts of the game. I remember watching New Mexico slowly whittle that lead down in the last part of the second half, and there I am, squirming on the bench. I'm looking at Coach Ballard, almost screaming "Put me in!" but she just ignores me. LaToya goes in and I stay there. I could have screamed. Finally, with four fouls and late in the second half, Coach nods her head and I jump out onto the court.

One minute later, I have my fifth foul. Coach Ballard just give me a look that says, "See?" Hey, I'll just be happy with the win. Maybe that was the lesson. I don't know, I'm just so impatient."

--Brenda Dean



As you can see, Brenda had another good game. You can't laugh at 57 percent shooting. Look at the difference between this game and the first New Mexico State game and you can see the differences - not as many blocks, assists, or steals by NMSU.

I noticed the "Team Rebounds" stat on the "Pro Basketball Scoresheet", but I'm not keeping track of team rebounds consistently enough to make it a stat yet. Due to the fact that UTEP is performing better in the game in real life, I'm adjusting attendance by 2 percent upward, plus or minus a random factor of 10 percent. I also figure that Dean's high scoring ways should be providing some novelty.

(* * *)

With all of that, UTEP is now 6-1. This begs the question of how good is UTEP? With Brenda Dean are they good enough to be ranked for example?

How do we know? How can we know?

What we need is an RPI estimator. We need a mathematical formula that will let us plug in some simple inputs, then cross-check with one of the RPI sites and make some sort of comparison with other teams.

As it turns out, some people have done some mathematical analysis. Dolphin Sim came up with a formula in 2001. The formula is for men's basketball but we will borrow it. He provides two ratings formulas, and here they are:

RPI = 0.23*WP + 0.23*OWP + 0.54*OOWP

RPI = 0.27*WP + 0.46*OWP + 0.27*OOWP

where

WP = teams's winning percentage
OPW = winning percentage of team's opponents
OOPW = winning percentage of team's opponents' opponents

According to Dolphin Sim, the first formula is the more accurate one, as it is essentially a deeper analysis than the second one. The second formul is the more popular formula since the formula is more balanced towards what a team can control - a team can win its games and pick its opponents, but it can't pick it's opponent's opponents.

We'll use both. We'll call the first RPI formula "the AP formula" and the second formula "the coach's poll formula"

WP is easy. That's just .8571, or (wins + 0.5*ties)/games played.

OPW isn't easy. On the other hand, we'll estimate it by creating a list of UTEP's opponents and determine what a hypothetical W-L record for those teams would be based on the team's real-life records.

As for OOPW, unless you want to simulate the win-loss records of 340 teams...no? You don't? Me neither. What we do know that as we move down the recursion (opponents' opponents' opponents' opponents'....), this value approaches (all wins)/(all games), which should be around .500. So we'll just set OOPW = 0.5 by fiat and move forward.

We then

Here are the following adjustment values:

* +0.0024 if your median non-conference opponent's RPI rank was #50 or better
* +0.0012 for beating RPI #1-25 on the road
* +0.0009 for beating RPI #1-25 at a neutral site
* +0.0006 for beating RPI #1-25 at home
* +0.0008 for beating RPI #26-50 on the road
* +0.0006 for beating RPI #26-50 at a neutral site
* +0.0004 for beating RPI #26-50 at home
* -0.0002 for losing to RPI #170-255 on the road
* -0.0003 for losing to RPI #170-255 at a neutral site
* -0.0004 for losing to RPI #170-255 at home
* -0.0004 for losing to RPI #256-340 on the road
* -0.0006 for losing to RPI #256-340 at a neutral site
* -0.0008 for losing to RPI #256-340 at home
* -0.0006 for losing to a non-division I opponent on the road
* -0.0009 for losing to a non-division I opponent at a neutral site
* -0.0012 for losing to a non-division I opponent at home
* -0.0024 if your median non-conference opponent's RPI rank was in the bottom half of the league (#171 or worse in a 340-team league)

Note that we are talking about the median non-conference rank, not the average. The median is the RPI value that splits the conference into the upper half and the lower half.

Using the above, we calculate an RPI value for our UTEP team. We will use the RPI values provided by RealTimeRPI.com. You can use whatever RPI values please you.



The calculations seem to make sense. UTEP ends up ranked #73 using one RPI estimators and #82 in the other estimator. So far, with Brenda Dean, UTEP is probably the best team in Conference USA - but the league is strictly a one-bid league. Even so, at this level, UTEP should make the Women's NIT even if they lose the conference tournament. One big problem that UTEP has is that its opponents haven't done so well - even Iowa State is having a losing record!

UTEP's next team is Alcorn State - a team to which I'll assign a 1-6 record based on its 5-26 real life record. Alcorn State is ranked #327 out of #340 teams. It looks like UTEP might slip even if they win the game.