I assume something about being terrible explains OSU's field position win, but I'm not sure what it is. Can you enlighten me?
Peppers at 10, which seems low.
Not much to see on the Win Probability Chart this week. Michigan was a heavy favorite and shut the door early. After adjusting for the spread the chart imagines a conversation like this:
GopherBoy1960: Hey Chart, do we a shot to get the jug back today.
Chart: I wouldn’t get your hopes up. We are talking about single digit percents here.
GopherBoy1960: So you’re telling me there’s a chance.
LloydBrady: Hey, that’s my line.
Chart: Technically you have a chance but oh wait, just turned the game on and your chance is now zero. Hope you enjoyed your two minutes of hope.
GopherBoy1960: I miss Glen Mason.
Biggest plays of the day (from the unadjusted numbers)
1. Fitzgerald Toussaint rushes for 35 yards on the fourth play of the day, +7%
2. Denard scores from 9 yards out to push the lead to 14, +6%
3. Denard goes for 18 yards to the Minnesota 3 to set up Michigan’s first score, +5%
Worst plays of the day (and there weren’t many)
1. The first appearance of Fritz loses 4 yards, –4%
2. Michael Shaw loses a yard to set up 3rd down inside the 10, –2%
3. Dan Orseske boots a 64 yard punt with no return after Minnesota goes 3 and out, –2%
After the jump, projections, rankings, and a Northwestern preview.
It’s still early in the projections game and the opponent adjustments are still taking shape, but I be like dang, these numbers lookin’ good.
With Nebraska struggling a bit this year, and Sparty’s o-line in shambles, Michigan might be the only the only Legends team with a competent offense and defense. Currently they are a slight favorite over Michigan St to win the division, with the numbers currently showing the winner of that matchup to have the inside track at the inaugural division win.
On the remaining schedule, Michigan’s three remaining non-NW road games look like toss-ups and all the home games stand as likely M wins. Add it all up and it’s an average expectation of 10 wins with 11 more likely than 9. The odds of an undefeated regular season now stand at 1 in 11. Plenty of caution is still suggested but it’s certainly been a best case scenario first 5 weeks.
Rankings based on opponent adjusted PAN, with downward adjustments for ranking purposes for losses. Rankings adjusted for losses, but +/- PAN ratings not adjusted.
National Top 5
1. LSU +20
2. Alabama +17
3. Boise St +16
4. Oklahoma St. +16
5. Texas +15
6. Wisconsin +15
12. Michigan +11
14. Illinois +10
23. Michigan St. +9
29. Nebraska +6
31. Penn St. +5
37. Iowa +4
79. Ohio St. -1
87. Northwestern -6
99. Purdue -10
109. Indiana -14
110. Minnesota -15
I currently have 13 teams that are undefeated that I consider legitimate (Texas Tech and Houston, sorry) and Michigan is 12th of that group, ahead of Illinois. Michigan certainly isn’t an elite team but has been playing well enough to earn a spot in Tier 2/3.
Northwestern is a bit tricky to project on offense since Persa has only played a single game at this point. I will provide NW’s year long numbers but also indicate how the offense did vs Illinois last week for comparison.
Michigan: +6, 4th (Georgia Tech), 1st
Northwestern: 0, 61st, 9th
Denard: +4 rushing, 4th nationally (Collin Klein, Kansas St)
Fitz: +2, 35th RB (Orwin Smith, GT)
Vincent Smith: +2 (not enough carries to be ranked)
Michigan: +2, 39th (Clemson), 4th (Wisconsin)
Northwestern: –3, 93rd, 9th
Denard: +2 passing, 63rd (Tyler Bray, Tenn.)
Michigan: +3, 17th (Notre Dame), 3rd (Penn St)
Northwestern: 0, 57th, 5th (+4 vs Illinois)
Mike Trumpy (out for season): +1, 59th
Michigan: +1, 49th (UCF), 7th (Michigan St)
Northwestern: –2, 86th, 9th (+8 vs Illinois)
Dan Persa: +11 vs Illinois (58th best passing game of the year)
Jeremy Ebert: +7, 22nd receiving (Kendall Wright, Baylor)
Michigan: –0.33 pts/drive, 105th (Boise St), 12th (Ohio St)
Northwestern: –0.03 pts/drive, 61st, 8th
Michigan: +5, 7th (Rutgers), 1st
Northwestern: +5, 13th, 2nd
Michigan: –1, 87th (Auburn), 11th (Purdue)
Northwestern: 0, 60th, 7th
Prediction: With Persa in the lineup Northwestern finds as much success as Notre Dame but ultimately Michigan’s offense is too much and closes the game out in the fourth quarter. 38-28 Michigan
Reminder, if there is anything you want to see in MWM post it in the comments or hit me up on twitter: @The_Mathlete
I assume something about being terrible explains OSU's field position win, but I'm not sure what it is. Can you enlighten me?
Ohio St has always been very good at the field position game. Their offense is just so terrible this year they can't do anything with it.
Dan Persa and Jeremy Ebert combine for + 18?? I don't know why everyone plays these guys up so much. Jeremy Ebert is nowhere near Jordan White or Michael Floyd. Persa is probably Lindley level at best. Without Trumpy, their offense becomes one dimensional. We run Okie blitz mania package all day long and hit Persa enough times where he decides the bench is best for him. I am going to dream of Will Campbell flipping the NU center and launching Persa 2 yards into the air Branch/Morelli style. It will be a good dream.
Even a hobbled Persa is better than Lindley I think. He is pretty accurate and he only needs to use his legs to find extra time in pocket. Ebert though is not on the same level as Floyd (who is?). Loss of Trumpy does not make their offense one dimensional - they have capable backups and the backup QB is a good runner as well. I think they will provide a good test of our defense.
Persa completed 73.5% of his passes last year and had a 15:4 TD-INT ratio. On top of this he rushed for over 500 yards and put up 9TD's on the ground.
Lindley threw for way more yards in 2010 (with two NFL receivers facing Mountain West defenses) but also threw more than triple the interceptions and completed at a 57% rate. Lindley is also not a rushing threat by any means, which is a major NFL knock. He rushed for negative yards in 2010.
Even without being able to move as well this year, Persa will still have much better accuracy than Lindley has.
Ebert and Persa are not +18 together. Receivers rarely get a negative play so their numbers are always highly positive. Plus adding a QB and a receiver's values together is like adding the yards together. A QB who throws for 300 and a receiver who catches 100 yards don't combine for 400 yards. Persa had a strong game against what to date has been a very good defense. +11 in one game is very good. +11 is top 5 level and well above Persa's historical success. He is good but probably not +11 over a whole year good.
Ok thanks for the clarification. I was going to say... How do they both combine for + 18?? But I see. I don't know... we single-handedly removed Lindley from the high-NFL draft pick hype (despite many people saying he and his Heisman buddy were going to tear us apart) and dropped Hillman completely out of heisman contention for now. We'll see how well the Northwestern O-Line holds up in pass protection.
For the record, I'm pretty sure our one Red Zone blemish is actually the last series of the game against Minnesota when we took a knee.
You are correct. Our red zone blemish is due to the 4th qtr classy kneel down last Saturday as we have a couple of (red zone) field goals to the positive.
End of half situations are removed from my numbers. As noted above, the blemish is from getting 3 instead of 7 in the first half last Saturday.
Thank you, I was wondering the same thing. I thought to myself, "Surely, The Mathlete didn't forget to take our the kneel down..."
Makes sense now. Much appreciated.
Actually, I believe that the Mathlete removes plays like that from his calculations (kneel downs, garbage time yards/scores, etc.).
How can you compare a +10% play that takes us from 50% to 60% to a +10% play that takes us from 80% to 90%? The first play increases our chances of winning by 20% but the second play increases our chance by double. Shouldn't you weigh plays more when we are either down by several touchdowns (getting back in the game) or up by several touchdowns (slamming the door) more than say a 40 yard run on the first drive?
You have to get to 100% one way or another and just like the TD early is worth 7 just like the one late, all points count the same. The plays with the most leverage come when the score is close, not far apart. Which is more valuable a play that doubles your chances of winning from 1% to 2% or a play that doubles your winning percent from 50% to 100%?
my point at all. Goint from 50 to 100 makes you infinitely more likely likely to win, not twice as likely to win.
Let's take the Vegas example. Let's say a book that gives coninuous odds based on your database and doesn't take a commision starts the game out as 1:1 for Michigan to win. If the first play of the game adds 16.7% to your chart the odds will now go to 2:1 (66.7%/33.3%) in Michigan's favor. If later in the game Michigan's win percentage is at 66.7% and a play adds 13.3% Michigan's odds would now 4:1 (80%/20%).
Now we could debate all day if it's more important to double your odds to 2:1 or double them to 4:1 (from a mathematical and betting standpoint they are the same) but the fact remains that as you get closer to 100% it takes less of a percentage addition to double your odds of winning.
If you don't agree with my example how adding 16.7% is the same as adding 13.3% please explain why you think I'm missing something.
likely. At 80% your odds are 4:1 (80% chance of you winning divided by 20% of them winning) to win but at 90% they are 9:1 to win. I'll take a more than double increase any day of the week over going from 50% (1:1) to 60% (1.5:1) where you are "only" 50% more likely to win the game.
Sorry for being an ungrateful bastard since this is awsome, but could you do a weekly update of what our chances are against each remaining opponent based on PAN, and the upcoming one based on the spread? *pls don't smite me with your math*
The projected wins update in the format you used last year was awesome!
Or at least win probabilities for the remaining games.
Will add individual games from here on. For now, I'll leave it here in the comments:
@Northwestern: 92% (probably lower because I don't have a Persa factor in)
@Michigan St: 48%
Ohio St: 95%
Man, I'd love to see what those percentages were at the beginning of the season.
|Opponent||2010 PAN||2008-'09 Avg||Returning Starters||Total PAN||Michigan Odds|
|San Diego St||6.3||-6.0||-0.6||-0.5||85%|
It has changed like so:
Michigan State +7%
Ohio State +60%(!)
I have several questions.
Thanks much in advance for your answers!
MSU plays Wisconsin, we do not. Hence, that is an auto loss for MSU that we don't have and it makes us favored to win the division. Furthermore, if our game against MSU was at home, we would be favored.
1. Start at 59% for the home team, add/subtract 3 percentage points for every point difference in PAN.
2. Like the commenter noted, MSU plays a more difficult schedule and Michigan is slightly higher rated.
3. Home field is the reason, every team's ratings are adjusted for the strength of opponents but the adjustment is still not fully developed this early in the season.
4. Odds of going 1-1 in toss-up games are about 50%, 25% each to win both or lose both.
5. Winning and losing is irrelevant to how the game grades out. A losing team can grade out higher than a winning team (like ND did against us). Handy wins should at least keep our PAN afloat assuming our prior opponents don't fall apart.
Regarding the 59% figure for homefield, is that the NCAA average winning percentage for home teams? If so, do you know if it's any different if only conference games (which may have have fewer lopsided matchups than non-conference games) are factored in?
Could you also include probability of division winners and Michigan's chances against the other division leaders in the championship game (if they were to make it).
With your math.
Could be entertaining.
don't mean to be an ungreatful bastard, and really love your diary, but could The Mathlete do the graph or percentage of expected wins too, like you did in your season preview?
On the chart, Michigan’s unadjusted win percentage twice dipped below 50, early in the first quarter. It’s hard for me to imagine how this could be possible, given that Minnesota never even had a credible threat to score until fairly late in the game. What did Michigan do, however briefly, that made Minnesota favored to win the game?
Starting the game at only the 20 is a slight negative (one that was outside of Michigan's control) and sitting at 3rd and 5 after the loss on the first Fritz play pushed us slightly below 50%.
I'm confused on each line. Do you mean we were slightly under 50% to beat the spread or to win the game on that 3rd and 5 play? The line labels seems backwards to me whereas "unadjusted" should be the "win the game" line.
Unless I'm mistaken, the unadjusted percentages assume the two teams are equal (i.e., each has a 50% chance to win the game at kickoff). The spread percentages are modified using the spread as an indicator of how comparable the teams really are. So, once Fitz lost 4 yards to bring up 3rd and 5 from our own 25, we'd have been slightly more likely to lose than to win if Minnesota had been as good as us.
Minnesota is ranked 110? Talk about overrated.
They almost beat USC (although the game shouldn't have been that close) - that has to count for something. And although they haven't exactly played a demanding schedule, they also hadn't gotten blown out until they played us.
Minnesota DID lose to North Dakota State, but NDSU is definitely one of the top 20-30 FCS teams, and the top 20-30 FCS teams are probably better than the bottom 20-30 FBS teams in any given year.
"Michigan might be the only the only Legends team with a competent offense and defense"
I almost don't remember what that was like.
Not sure how its possible to do this every year, but somehow we are way too over confident again. "and all the home games stand as likely M wins" ...really??? I understand the defense has done better this year, but its still not good. The only half decent offense we played was ND, and they rolled all over us. If it weren't for some gifts from god handed to us, we would have lost that game badly. 4 out of 5 games, Denard's passing has been worse than pathetic. Last year the Big 10 defense learned to contain Denard's running game by years end. I know many Big 10 teams looked bad this weekend, but I still see us getting pounded by MSU & Nebraska, and probably losing a couple more.
I'd venture to say that Mathlete's win percentage in predicting games is very high (especially games decided by more than a few points). He has a huge set of data to work with and he knows what he's doing.
Last year MSU's oline killed us. This year they suck. Everyone was projecting MSU to do well because of their skill positions but without a competent oline they can't run and don't have time to pass/play action isn't effective.
I think the MSU game will be close. I would be shocked if a repeat of last year happened.
As far as Nebraska, I think people are more down on them than they should be. Wisconsin is really good. That being said, Nebraska is not nearly as good as I expected. They will beat OSU soundly this weekend though, and everyone will start worrying about them again.
Mathlete: Any chance of getting your full team PAN rankings added as a tab under Useful Stuff? It would be great to have that table as a reference during the season.