Midwest stats 2016-17

[alumnifan]

Re: Midwest stats 2016-17

I know you can go one better, and rank the regions based on those numbers. Take the 3, schnautza!

🏀🏀🏀

[schnautza]

Re: Midwest stats 2016-17

I know you can go one better, and rank the regions based on those numbers. Take the 3, schnautza!

🏀🏀🏀

Geez I don't know how to accurately sum up an entire conference in one number, much less rank them all!
So, if you were to rank a conference, would you look for the most top-heavy (more chances of tournament seeds) or would you look at an overall picture considering depth of the conference - strength from top to bottom? That's two very different ways of comparing.

[alumnifan]

Re: Midwest stats 2016-17

You have already done all the leg work with your conference and regional comparison stats. Logic would just assign a number between 1 and 8 in each category, with 1 representing the best and the worst being assigned 8. The number one ranking would go to the lowest scoring region as the 1 seed, and the other seven rankings would follow.

[KnightStalker]

Re: Midwest stats 2016-17

You have already done all the leg work with your conference and regional comparison stats. Logic would just assign a number between 1 and 8 in each category, with 1 representing the best and the worst being assigned 8. The number one ranking would go to the lowest scoring region as the 1 seed, and the other seven rankings would follow.

I am afraid you would be comparing apples to oranges, since there is not much cross competition between regions. One conference may have a lot of good offensive stats because they play a totally different style of ball such as West Liberty and their conference (forgot the name.) Its a lot like comparing the PIs across regions. Really doesn't show a true comparison.

[schnautza]

Re: Midwest stats 2016-17

I could do that, but I don't think the results would really be meaningful.
Of the stats I've listed, I'd imagine some would be weighted more than others. And some are linked, whether directly or inversely.
For example, if you have a high FG%, you probably also have a higher number of assists since an assist requires the shooter to make the basket. Also, you'd have a lower number of offensive rebounds, since you don't have to pick up all the bricks you throw.

[schnautza]

Re: Midwest stats 2016-17

UPDATE
Stats include games thru 1/12/17

Scoring Offense
#5 Southern Indiana 97.4
#8 Lake Superior St 92.5
#16 St Joseph's 89.6
#22 Truman State 88.2
#24 Quincy 88.1
#28 Kentucky Wesleyan 87.5
#30 Ferris State 87.1
#38 Findlay 86.1
#47 Missouri S&T 85.2
#52 Wis.-Parkside 84.6

Scoring Defense
#4 Grand Valley St 62.7
#8 Wayne State 63.7
#23 Bellarmine 66.9
#31 Ashland 67.9
#49 Missouri-St. Louis 69.7
#51 Drury 70.0
#57 Findlay 70.4
#61 Southern Indiana 70.5
#65 Wis.-Parkside 70.7
#66 Hillsdale 70.7
#66 Ohio Dominican 70.7

Scoring Margin
#1 Southern Indiana 26.9
#9 Bellarmine 17.6
#14 Kentucky Wesleyan 16.1
#16 Findlay 15.7
#20 Truman St 14.9
#21 Ferris State 14.9
#22 Quincy 14.8
#26 Grand Valley 13.9
#27 Wis-Parkside 13.9
#36 Lake Superior St 11.5
#41 Walsh 10.5
#42 Drury 10.2
#43 Saginaw Valley 10.1

Field Goal Percentage
#2 Quincy 53.1%
#4 Southern Indiana 52.9%
#5 Bellarmine 52.7%
#6 Drury 52.4%
#7 Wis-Parkside 52.1%
#16 Kentucky Wesleyan 50.8%
#22 Truman St 50.2%
#26 Grand Valley St 49.9%
#28 Lake Superior 49.9%
#30 Findlay 49.6%
#44 Walsh 48.5%

Field Goal Percentage Defense
#1 Grand Valley St 37.2%
#30 Wayne State 40.7%
#40 Bellarmine 41.3%
#49 Ashland 41.6%
#59 Quincy 41.8%
#62 Lewis 41.9%
#65 Wis.-Parkside 42.1%
#71 Lake Superior St 42.1%
#74 Ohio Dominican 42.2%
#76 Southern Indiana 42.2%

3-Point Field Goal Defense
#16 Alderson-Broaddus 30.0%
#21 Quincy 30.5%
#38 Ohio Dominican 31.6%
#40 Lake Superior St 31.6%
#46 Missouri S&T 31.7%
#60 Ashland 32.1%
#63 Saginaw Valley 32.2%
#66 Findlay 32.2%
#79 Southern Indiana 32.8%
#84 Wayne State 33.0%

3-Point Field Goals per game
#6 Truman St 11.4
#17 Malone 10.5
#19 Southern Indiana 10.4
#22 Findlay 10.3
#24 Michigan Tech 10.2
#30 Missouri S&T 10.1
#33 Lake Superior St 9.8
#35 UIndy 9.8
#42 Rockhurst 9.6
#57 Ohio Dominican 9.1

3-Point Field Goal Percentage
#1 Southern Indiana 45.0%
#2 Wis-Parkside 44.8%
#3 Truman State 44.5%
#7 Kentucky Wesleyan 43.2%
#12 Drury 42.1%
#29 Bellarmine 40.3%
#30 Lake Superior 40.3%
#33 Findlay 40.1%
#40 Ill.-Springfield 39.6%
#42 Grand Valley 39.5%

Free Throw Percentage
#4 Bellarmine 79.3%
#11 Southern Indiana 78.4%
#16 Michigan Tech 77.9%
#24 Walsh 77.0%
#30 Kentucky Wesleyan 76.6%
#35 Ferris State 76.3%
#36 Truman St 76.3%
#56 Hillsdale 74.7%
#57 Alderson-Broaddus 74.7%
#66 Saginaw Valley 74.1%

Assist-Turnover Ratio
#8 Bellarmine 1.51
#10 Findlay 1.49
#12 Lake Superior 1.48
#13 Southern Indiana 1.48
#14 Michigan Tech 1.47
#31 Saginaw Valley 1.37
#36 Malone 1.35
#39 Walsh 1.35
#40 Wis.-Parkside 1.33
#41 Truman State 1.31
#48 Hillsdale 1.28

Assists per game
#6 Bellarmine 19.5
#16 Southern Indiana 18.3
#17 Quincy 18.2
#18 Wis-Parkside 18.1
#21 Lake Superior St 17.9
#22 Findlay 17.9
#37 Drury 16.8
#43 St Joseph's 16.4
#45 Truman State 16.3
#48 Davis & Elkins 16.1
#49 McKendree 16.1

Turnover Margin
#21 Lake Superior 3.9
#29 Michigan Tech 3.5
#40 Findlay 3.0
#40 Kentucky Wesleyan 3.0
#47 Wayne State 2.8
#49 Southern Indiana 2.8
#54 St Joseph's 2.7
#58 Bellarmine 2.6
#88 Saginaw Valley 1.8
#92 Tiffin 1.6

Turnovers per game
#3 Michigan Tech 8.7
#15 Walsh 11.0
#16 Northern Michigan 11.2
#23 Saginaw Valley 11.4
#30 Hillsdale 11.5
#37 Malone 11.8
#43 Findlay 12.0
#50 Lake Superior 12.1
#50 Wayne State 12.1
#63 Truman State 12.4

Turnovers Forced
#27 Kentucky Wesleyan 17.00
#34 St Joseph's 16.80
#61 Lake Superior 16.00
#77 Bellarmine 15.53
#89 Southern Indiana 15.20
#94 Quincy 15.12
#98 Findlay 15.00
#108 Wayne State 14.92
#113 Drury 14.71
#117 Wis.-Parkside 14.57

Blocked Shots per game
#3 Ferris State 6.1
#31 Northern Michigan 4.5
#37 Quincy 4.4
#45 Grand Valley 4.1
#66 Tiffin 3.8
#72 Wis.-Parkside 3.6
#77 Lewis 3.6
#77 Southern Indiana 3.6
#84 Rockhurst 3.6
#91 Findlay 3.5

Steals per game
#40 St Josephs 8.4
#44 Findlay 8.3
#49 Salem International 8.1
#58 Ferris State 7.9
#67 Ohio Valley 7.8
#70 Kentucky Wesleyan 7.7
#73 Tiffin 7.7
#75 Wis.-Parkside 7.6
#80 Wayne State 7.5
#85 Grand Valley 7.5

Offensive Rebounds per game
#18 Davis & Elkins 14.25
#24 Tiffin 13.69
#46 Ferris State 13.20
#51 St. Joseph's 13.00
#58 Missouri S&T 12.85
#73 Southern Indiana 12.53
#92 Walsh 12.00
#92 Northwood 12.00
#99 McKendree 11.92
#108 Kentucky Wesleyan 11.67

Defensive Rebounds per game
#8 Quincy 29.88
#15 McKendree 29.31
#20 Truman State 29.13
#21 Southern Indiana 29.07
#22 Ferris State 29.00
#25 Missouri S&T 28.92
#28 Ill-Springfield 28.80
#34 Davis & Elkins 28.56
#36 Grand Valley 28.53
#43 Lake Superior State 28.08

Rebound Margin
#3 Southern Indiana 12.3
#14 Kentucky Wesleyan 8.1
#17 Ferris State 7.7
#17 Grand Valley 7.7
#23 Walsh 6.9
#32 Missouri S&T 6.2
#37 Bellarmine 5.8
#43 Alderson-Broaddus 5.6
#46 Lewis 5.1
#49 McKendree 5.1

[schnautza]

Re: Midwest stats 2016-17

UPDATE
Stats include games thru 2/7/17

Scoring Offense
#7 Southern Indiana 92.4
#8 Kentucky Wesleyan 91.1
#15 Truman State 88.6
#20 Ferris State 88.1
#21 Lake Superior St 88.0
#25 Quincy 87.5
#26 St Joseph's 87.2
#48 Missouri S&T 84.2
#50 Findlay 83.9
#61 Bellarmine 82.8

Scoring Defense
#13 Bellarmine 65.7
#18 Grand Valley St 66.1
#23 Wayne State 67.1
#48 Ashland 69.9
#57 Wis.-Parkside 70.5
#62 Hillsdale 71.0
#69 Kentucky Wesleyan 71.5
#70 Missouri-St. Louis 71.6
#71 Findlay 71.7
#81 Michigan Tech 72.3

Scoring Margin
#5 Southern Indiana 19.7
#6 Kentucky Wesleyan 19.6
#8 Bellarmine 17.1
#17 Ferris State 15.3
#22 Truman St 13.2
#26 Quincy 12.5
#28 Findlay 12.2
#35 Wis-Parkside 10.9
#49 Lake Superior St 8.1
#58 Grand Valley 7.3

Field Goal Percentage
#2 Bellarmine 53.3%
#5 Kentucky Wesleyan 52.5%
#6 Quincy 52.1%
#14 Truman St 50.4%
#17 Wis-Parkside 50.2%
#21 Southern Indiana 49.9%
#27 Drury 49.4%
#32 Findlay 49.2%
#32 Ashland 49.1%
#41 Lake Superior 48.5%
#45 Ferris State 48.4%
#47 Walsh 48.4%

Field Goal Percentage Defense
#3 Grand Valley St 38.5%
#28 Ferris State 41.2%
#30 Bellarmine 41.3%
#57 Wayne State 42.5%
#65 Kentucky Wesleyan 42.6%
#77 Quincy 42.8%
#79 Lewis 42.9%
#89 Wis.-Parkside 43.2%
#93 Davis & Elkins 43.3%
#101 Southern Indiana 43.4%

3-Point Field Goal Defense
#20 Ohio Dominican 31.1%
#30 Quincy 32.0%
#44 Southern Indiana 32.4%
#45 Ferris State 32.5%
#51 Alderson-Broaddus 32.6%
#60 Davis & Elkins 32.9%
#72 Lake Erie 33.3%
#87 Findlay 33.7%
#94 Bellarmine 33.9%
#96 Grand Valley 33.9%

3-Point Field Goals per game
#7 Truman St 11.3
#15 Malone 10.5
#17 Michigan Tech 10.2
#20 UIndy 10.1
#21 Missouri S&T 10.1
#34 Findlay 9.7
#36 Northern Michigan 9.6
#36 Rockhurst 9.6
#38 Southern Indiana 9.6
#49 Ohio Dominican 9.3

3-Point Field Goal Percentage
#2 Truman State 43.3%
#4 Bellarmine 42.7%
#14 Southern Indiana 41.6%
#20 Wis-Parkside 41.0%
#24 UIndy 40.5%
#25 Kentucky Wesleyan 40.5%
#35 Michigan Tech 39.8%
#36 Ashland 39.8%
#42 Drury 39.4%
#43 Findlay 39.4%
#46 Lake Superior 39.2%
#50 Ohio Dominican 39.0%

Free Throw Percentage
#1 Michigan Tech 81.1%
#2 Bellarmine 80.3%
#13 Southern Indiana 77.5%
#16 UIndy 77.3%
#32 Kentucky Wesleyan 76.1%
#36 Ferris State 75.3%
#37 McKendree 75.3%
#42 Truman St 75.2%
#48 Lewis 74.8%
#49 Ashland 74.7%
#50 Walsh 74.7%

Assist-Turnover Ratio
#6 Michigan Tech 1.55
#8 Bellarmine 1.50
#11 Findlay 1.47
#14 Lake Superior 1.46
#26 Wis.-Parkside 1.38
#27 Southern Indiana 1.38
#32 Truman State 1.35
#38 Ferris State 1.33
#40 Hillsdale 1.31
#47 Saginaw Valley 1.27

Assists per game
#6 Bellarmine 19.3
#13 Quincy 17.7
#21 Wis-Parkside 17.2
#23 Lake Superior St 17.2
#26 Findlay 17.1
#31 Truman State 17.0
#39 Malone 16.4
#40 Southern Indiana 16.3
#41 Ferris State 16.3
#42 Kentucky Wesleyan 16.3
#49 St Joseph's 16.0
#50 Ohio Dominican 16.0
#51 McKendree 16.0

Turnover Margin
#14 Kentucky Wesleyan 4.0
#24 Lake Superior 3.5
#32 Findlay 3.2
#41 Michigan Tech 2.9
#42 Wayne State 2.8
#51 St Joseph's 2.4
#64 Southern Indiana 2.0
#78 Bellarmine 1.7
#87 Truman State 1.5
#87 Saginaw Valley 1.5

Turnovers per game
#2 Michigan Tech 8.9
#10 Northern Michigan 10.4
#16 Walsh 11.0
#19 Saginaw Valley 11.1
#27 Hillsdale 11.3
#33 Findlay 11.6
#34 Lewis 11.7
#39 Lake Superior 11.8
#46 Southern Indiana 11.9
#49 Wayne State 11.9
#50 Rockhurst 11.9

Turnovers Forced
#17 Kentucky Wesleyan 17.55
#36 St Joseph's 16.30
#71 Lake Superior 15.20
#78 Quincy 15.08
#88 Findlay 14.82
#90 Trevecca Nazarene 14.78
#94 Wayne State 14.70
#101 Drury 14.57
#105 Bellarmine 14.48
#116 Missouri S&T 14.25

Blocked Shots per game
#1 Ferris State 7.1
#7 Northern Michigan 5.5
#45 Quincy 4.0
#67 Wis.-Parkside 3.7
#68 UIndy 3.7
#71 Grand Valley 3.7
#76 Trevecca Nazarene 3.6
#78 Lewis 3.6
#86 Southern Indiana 3.5
#104 Saint Joseph's 3.3
#104 Tiffin 3.3

Steals per game
#14 Kentucky Wesleyan 9.2
#39 St Joseph's 8.1
#41 Findlay 8.0
#47 Salem International 8.0
#48 Ohio Valley 7.9
#63 Tiffin 7.6
#75 Lake Superior St 7.4
#76 Truman State 7.4
#78 Quincy 7.4
#85 UIndy 7.3

Offensive Rebounds per game
#6 Davis & Elkins 15.00
#42 Missouri S&T 13.05
#44 Tiffin 13.04
#46 St. Joseph's 12.96
#51 Alderson Broaddus 12.82
#55 Southern Indiana 12.74
#58 Kentucky Wesleyan 12.59
#67 Wayne State 12.45
#83 Ferris State 12.13
#101 Walsh 11.73

Defensive Rebounds per game
#10 Ferris State 29.35
#13 Davis & Elkins 29.09
#17 Quincy 28.79
#18 Southern Indiana 28.74
#29 Grand Valley 28.09
#31 Missouri S&T 27.90
#35 Ill-Springfield 27.83
#37 McKendree 27.75
#43 Truman State 27.61
#59 Lake Superior State 27.20

Rebound Margin
#5 Southern Indiana 10.5
#11 Kentucky Wesleyan 8.5
#16 Alderson Broaddus 7.6
#28 Davis & Elkins 6.4
#29 Walsh 6.2
#32 Bellarmine 5.8
#33 Grand Valley 5.7
#35 Ferris State 5.6
#56 Missouri S&T 4.6
#68 Quincy 4.2

[alumnifan]

Re: Midwest stats 2016-17

Once again, great job, schnautza. These stats show overall improvement among the teams. These stats don't lie. It is going to be a hard fought post season. Who wants it more? These stats also show reversing trends, which gives us an idea of which teams are improving. Thank you!

[Knightmoves]

Re: Midwest stats 2016-17

Thanks schnautza. You r MVP ( most valuable poster)

Recently I've become enamored of the conference only stats which act as an imperfect correction for schedule variance when comparing teams in the same conference. You also can see how much preseason cupcakes distort stats. The conf only stats are especially enlightening when making head to head comparisons between travel partners, who play the same schedule at almost the same time.