Flying Illini vs. Highest Scoring Team Ever (Loyola Marymount); Highest Scoring Game Ever?

Our next Value Add Basketball Match-up featured perhaps the best Illinois team ever, the 1989 squad that played at an incredibly fast pace to score more than 100 points in eight games, and Loyola Marymount's 1990 squad that played at the fastest pace ever and averaged 122 points per game, and was ranked as the 48th greatest team in history.

With our new front page showing which pages to print for each team, you would enter pages 41 and 62 as listed for this game, then you can see in the preview you picked the teams you wanted before printing.

And if you don't know the story click on the video. Hank Gathers lead the country in rebounding, then in his last season scored 48 against Shaq, then died on the court a few games later. His best friend from childhood and teammate Bo Kimble still lead the team to a stunning Elite 8 run, leaving this "what if" game to wonder if they would have won it all with him on the court.

One thing you note in the preview screen is that when Illinois plays you add 4 possessions, and when Loyola Marymount games have an extra 26 possessions, so adding those together you play 74 possessions instead of the normal 44 possessions so you need almost an entire extra scoresheet to play this game. As the 41st and 42nd ranked all-time teams in the game they are also the two highest ranked teams to have not yet played three games, as we work through from top to bottom to try to get every team up to three games played. 

Keep in mind the 74 possessions we will play in this game indicates that we estimate a total of 96 possessions would have been played if the two teams could really play - because every Value Add Basketball Game starts with the assumption that 22 possessions have been played with the score at 20-20 when we actually roll the dice (or draw the card) for the first time in the game).

 Game results will be added.

Michigan Record Comeback Against Biggest Home Job at Stephen F Austin

 We made the heavily favored Michigan 1965 travel for the debut of the 2016 Stephen F Austin, and what we played was the biggest home job to date in our Value Add Basketball Game.

Biggest Home Job Ever

To document the home job - in the Value Add Basketball Game if a team is designated as the home team (vs. just a neutral site game) then we write "at" on the center of the scoresheet. The home team has the option of flipping the result of any roll of 36 or 66 - which gives them 2-3 calls a game and simulates the normal home advantage - but this was ridiculous.

Bad Call 1 - with 17:28 (29 possessions) left to play, star Bill Buntin was called for a phantom foul (dice roll of 66 changed to 36) and Ty Charles hit one of two free throws to give Stephen F. Austin (SFA) their first lead at 50-49.

Bad Call 2- with 13:11 (22 possessions) left to play Buntin was again called for a phantom foul and this time on a 3-point shot by Charles, who hit 2 of 3 to against give SFA the lead, 61-59.

Bad Call 3 - with 7:40 (13 possessions) to play, Oliver Darden scored to give Michigan a 69-66, but he was also fouled while scoring and the foul was missed.

Bad Call 4 - with 4:35 (8 possessions) to play and SFA leading 73-72, the refs unbelievably made another bogus call against Buntin this time fouling him out of the game. In the next two minutes (to the 2:44 mark or 5 possessions to play) with Buntin on the bench, SFA went on a 13-5 run to seemingly put the game away 86-74.

We could have played the game in Crisler Arena - known as the House Cazzie built - but wanted to give SFA a longshot chance of an upset like they pulled in two March Madness tournaments. In our rankings we do give teams credit for playing on the road. But the 86-74 lead led to ... (see below scoresheet)

Biggest Comeback Ever

The biggest comeback we have witnessed in all our games. Michigan went on a 5-0 run by the 1 minute mark, then the player who would go onto be the National Player of the Year and No. 1 pick in the NBA draft the next year, Cazzie Russell, hit a 3-pointer to make it 86-82 .

George Pomey then made the play of the game with a steal, which by giving the chance at a fast break saves time and lets the team on the fast break use the bottom triangle on the same row in addition to lowering the 20-sided die 1 number for a better chance at a shot. Pomey hit John Thompson with a pass on the break and Thompson finished to make it 86-84. 

Pomey then made a mistake and fouled Demetrious Floyd, a 70% or 1-14 free throw shooter, but Floyd missed both free throws to leave the score 86-84.

Pomey scored at the other end to tie the game 86-86 and then after a miss at a would be game winning buzzer beater, Pomey grabbed the rebound to end regulation with Michigan having completed an incredible 12-0 run in just 2:07 to extend the game.

Cazzie finally Wins Battle of Players of the Year Vs. Walkup

The game was as special treat because it featured Cazzie - who would be awarded Player of the Year the next year before being drafted first to go to the NBA, where he won a world title - against Thomas Walkup, who is the only player from a smaller conference to ever be calculated as the best player in the country by www.valueaddbasketball.com.

Since both are the "3" in the game as small forward, they were guarding each other - a big concern for Michigan because Walkup draws so many fouls (on 10-14). While Russell only draws fouls on three numbers (9-11) he does get the ball more as one of the few players who get the ball 37% of the time in the game (on rolls of 3, 6 or 7 on the 8-sided die).

With 1:30 to go in overtime, he finally won an epic battle by drawing a 5th foul on Walkup while Michigan trailed 89-92, and hitting both free throws to finish the night with 29 points, 10 rebounds and three blocked shots. Walkup was almost as impressive with 19 points, 13 rebounds and two steals, but SFA's thin bench could not pull it out with their star on the bench, as Cazzie's two free throws started a 6-2 run for the 95-94 epic come from behind win.

The matchup seemed to be a decent one for SFA, with a front line of only 6'4, 6'5 and 6'8 and a weak rebounding team. However, Michigan's team - which had the bad luck of this incredible team during John Wooden's run of titles at UCLA  so only finished National Runner-Up - was not much bigger at 6'5, 6'5 and 6'8.

Index of 136 All-Time Great Basketball Teams to Print by Page

When you open this doc with the 136 great all-time teams, we have added this as page 1. Rather than scroll through this big document looking for the teams you want to print you can simply look up the pages on this page 1. Print out your favorite conference, or just two teams you want to play against each other using the Value Add Basketball Game.

Updated All-Time Conference Basketball Standings - Stephen F. Austin Debuts

With the new player cards for the best player in 2016, Thomas Walkup, and the greatest 3-year Cinderella team Stephen  F. Austin (SFA). The Lumberjacks debut ranked No. 15 among all-time non-major conferences. Below are the standings for those teams and then the conference-by-conference all-time. A conference with at least six all-time great teams in the Value Add Basketball Game gets their own conference in these standings, while the first 18 listed below are from the other conferences.

SFA has yet to pay, but starts between two centers famous for work off the basketball court - The Admiral David Robinson from Navy's 1986 team and former US Senator Bill Bradley from Princeton's 1965 team.
 

All-Time	Conf Rank	Other Conferences < 6 Teams	Year	Player	Won	Lost	Score	Allow	Rating
11	1	Gonzaga (WCC)	2017	Nigel Williams-Goss	3	3	69.8	63	8.7
24	2	UNLV (MWC)	1991	Larry Johnson	1	2	72.7	76.3	5.4
40	3	Loyola Marymount (WCC)	1990	Bo Kimble	1	1	119.5	110	2.3
51	4	Loyola-Chicago (WVC)	1963	Jerry Harkness	0	1	62	68	0.6
56	5	San Francisco (WCC)	1956	Bill Russell	0	1	67	74	0
60	6	Jacksonville (ASun)	1970	Artis Gilmore	1	1	78	75	-0.3
69	7	UTEP (TX Western, CUSA)	1966	Bobby Joe Hill	2	1	63.7	66	-1.4
75	8	San Diego St. (MWC)	2011	Kawhi Leonard	2	2	69.3	71.8	-2.9
79	9	UNLV (MWC)	1987	Armen Gilliam	0	1	64	82	-3.4
93	10	Holy Cross (Pat)	1950	Bob Cousy	1	1	88	89.5	-5.2
100	11	Seattle (WAC)	1958	Elgin Baylor	0	1	62	64	-6.2
108	12	Indiana St. (MVC)	1979	Larry Bird	0	1	69	76	-7.8
111	13	Wyoming (MWC)	1943	Ken Sailors	0	1	60	73	-8.2
118	14	Navy (Pat)	1986	David Robinson	0	1	61	77	-9
129	15	Stephen F. Austin (SLand)	2016	Thomas Walkup	0	0	0	0	-12
131	16	Princeton (Ivy)	1965	Bill Bradley	0	1	62	79	-13
134	17	Loyola-Chicago (MVC)	2018	Cameron Krutwig	0	3	59.3	75	-13.9
136	18	Niagara (MAAC)	1970	Calvin Murphy	0	1	68	84	-16.6
All-Time	Conf Rank	Atlantic 10 Conference	Year	Player	Won	Lost	Score	Allow	Rating
71	1	Dayton	2020	Obi Toppin	1	0	87	82	-1.6
85	2	St. Joe's	2004	Jameer Nelson	1	2	68.3	75.7	-4.3
89	3	St. Bonaventure	1970	Bob Lanier	0	1	64	74	-5
104	4	Davidson	2008	Stephen Curry	1	5	66.7	70.8	-6.9
109	5	La Salle	1954	Tom Gola	0	1	67	76	-8.2
124	6	George Mason	2006	Jai Lewis	0	3	59.3	67	-9.9
128	7	Dayton	1967	Don May	0	1	69	88	-11
133	8	VCU	2011	Bradford Burgess	0	3	60.3	71.3	-13.3
All-Time	Conf Rank	ACC Conference	Year	Player	Won	Lost	Score	Allow	Rating
2	1	Duke	2001	Shane Battier	3	0	82.3	71	15.4
7	2	North Carolina	2005	Sean May	3	2	72.2	64.4	9.6
13	3	Virginia	2019	Kyle Guy	4	1	72.6	65.4	8.3
14	4	Duke	2010	Jon Scheyer	5	2	74	66.7	7.9
18	5	Louisville	2013	Russ Smith	2	1	74	66.3	7
19	6	North Carolina	1982	Michael Jordan	5	1	68.8	65	6.7
20	7	Duke	1992	Christian Laettner	1	2	71.5	64.5	6.6
25	8	North Carolina St.	1974	David Thompson	2	1	72	72.7	5.1
31	9	Wake Forest	1996	Tim Duncan	2	1	66	64.7	3.9
35	10	North Carolina	1998	Vince Carter	2	1	80.7	83.7	2.7
39	11	Syracuse	2003	Carmelo Anthony	2	1	76	74	2.3
59	12	Syracuse	1987	Rony Seikaly	2	1	72.3	68.7	-0.3
64	13	Pittsburgh	2009	DeJuan Blair	1	3	60	62.3	-0.8
66	14	Duke	1986	Johnny Dawkins	0	1	106	108	-1
67	15	Georgia Tech	2004	Jarrett Jack	2	3	62.6	67.4	-1.1
91	16	Georgia Tech	1990	Dennis Scott	0	1	64	82	-5.2
97	17	Virginia	1981	Ralph Sampson	0	1	61	72	-5.4
105	18	Notre Dame	1981	Orlando Woolridge	0	1	68	74	-7
110	19	Notre Dame	1970	Austin Carr	1	1	67	76.5	-8.2
115	20	North Carolina	1957	Lennie Rosenbluth	0	1	76	89	-8.6
120	21	Wake Forest	2005	Chris Paul	0	3	64.3	85.3	-9.3
127	22	Louisville	1980	Darrell Griffith	0	1	52	82	-10.4
135	23	Miami FL	1965	Rick Berry	0	1	104	108	-14.6
All-Time	Conf Rank	American Athletic Conference	Year	Player	Won	Lost	Score	Allow	Rating
12	1	Houston	1968	Elvin Hayes	3	1	73	63.8	8.5
21	2	Cincinnati	1960	Oscar Robertson	1	2	74	78	6.2
29	3	Houston	1983	Hakeem Olajuwon	2	1	70.7	65	4.1
32	4	Memphis	2008	Derrick Rose	4	2	68.7	65.8	3.9
42	5	Cincinnati	2002	Jason Maxiell	2	2	72.8	71.5	1.9
101	6	Wichita St.	2013	Fred VanVleet	1	2	64.3	71.3	-6.4
All-Time	Conf Rank	Big 12 Conference	Year	Player	Won	Lost	Score	Allow	Rating
3	1	Kansas	2008	Mario Chalmers	5	1	74.7	56	15.2
6	2	Kansas	1997	Paul Pierce	3	0	75.3	60.3	10.1
17	3	Baylor	2021	Jared Butler	2	2	86	78.5	7.1
43	4	Oklahoma	1985	Wayman Tisdale	3	1	75.3	73.8	1.9
54	5	Texas Tech	2019	Jarrett Culver	3	2	65.6	67.2	0.3
70	6	Kansas	1957	Wilt Chamberlain	1	1	67.5	74	-1.5
76	7	Oklahoma St.	2004	John Lucas	1	3	68.8	71	-3.1
78	8	Kansas St.	2008	Michael Beasley	1	1	75	75.5	-3.3
86	9	Oklahoma	2016	Buddy Hield	1	3	60.3	67.3	-4.4
87	10	West Virginia	2010	Kevin Jones	1	3	70.3	76	-4.6
90	11	Oklahoma St.	1946	Bob Kurland	0	1	80	82	-5
95	12	Texas	2003	T.J. Ford	1	2	68.7	76.3	-5.3
107	13	Kansas	1988	Danny Manning	0	1	58	67	-7.6
114	14	West Virginia	1959	Jerry West	0	1	68	69	-8.4
116	15	Brigham Young	1981	Danny Ainge	0	1	67	77	-8.6
All-Time	Conf Rank	Big Ten Conference	Year	Player	Won	Lost	Score	Allow	Rating
8	1	Indiana	1976	Scott May	3	1	71.3	59.8	9.6
9	2	Ohio St.	1960	Jerry Lucas	2	1	84	76.3	8.9
16	3	Michigan St.	2000	Mateen Cleaves	3	0	88.3	78.3	7.3
26	4	Purdue	2018	Carsen Edwards	4	1	71.2	68.8	5
27	5	Illinois	2005	Deron Williams	3	2	72	69.6	4.3
30	6	Michigan St.	1979	Magic Johnson	2	1	70.3	62.7	4.1
34	7	Wisconsin	2015	Frank Kaminsky	2	2	65	63.3	3.4
38	8	Michigan	1965	Cazzie Russell	1	1	81	71.5	2.5
41	9	Illinois	1989	Nick Anderson	1	1	78	77	2
44	10	Iowa	2021	Luka Garza	1	1	79	70.5	1.8
46	11	Michigan	1989	Glen Rice	0	2	70.5	78.5	1.3
47	12	Indiana	1981	Isaiah Thomas	2	1	73	73	1.2
49	13	Michigan St.	2009	Draymond Green	6	3	71.3	71.9	0.9
55	14	Michigan	2013	Trey Burke	1	2	70.3	69.7	0.3
61	15	Ohio St.	2007	Greg Oden	2	3	70.2	71.4	-0.4
65	16	Purdue	1969	Rick Mount	0	1	86	87	-0.8
77	17	Maryland	1984	Len Bias	1	1	69.5	68.5	-3.2
82	18	Indiana	2002	Jared Jeffries	1	3	67.3	72.8	-3.9
83	19	Maryland	2002	Juan Dixon	1	3	67	76.3	-4
96	20	Iowa	2001	Reggie Evans	1	2	71	75.3	-5.3
All-Time	Conf Rank	Big East Conference	Year	Player	Won	Lost	Score	Allow	Rating
5	1	Villanova	2018	Mikal Bridges	7	2	79.4	70.3	10.8
10	2	Connecticut	2004	Ben Gordon	5	2	73.5	64	8.8
22	3	DePaul	1980	Mark Aguirre	3	0	80.3	67.7	5.6
50	4	Connecticut	1999	Richard Hamilton	1	1	60.5	64	0.7
52	5	Seton Hall	1989	John Morton	1	1	78	78	0.5
53	6	Georgetown	1984	Patrick Ewing	2	1	67.3	65.3	0.4
68	7	Georgetown	2007	Roy Hibbert	1	2	76.7	75.3	-1.4
72	8	Marquette	2003	Dwyane Wade	2	2	73.3	74	-2.4
73	9	St. John's	1985	Chris Mullin	0	1	75	76	-2.8
74	10	Marquette	1977	Butch Lee	1	1	66	61.5	-2.8
84	11	Marquette	1971	Jim Chones	1	2	70	72.7	-4
92	12	DePaul	1945	George Mikan	0	1	51	55	-5.2
106	13	Marquette	2011	Jimmy Butler	0	1	82	87	-7
119	14	Villanova	1985	Ed Pinckney	0	1	65	72	-9.2
122	15	Creighton	2014	Doug McDermott	0	3	66.3	80	-9.7
126	16	Creighton	2020	Ty-Shon Alexander	0	1	72	106	-10.2
130	17	Butler	2010	Gordon Hayward	0	3	54.7	76.3	-13
All-Time	Conf Rank	Pac-12 Conference	Year	Player	Won	Lost	Score	Allow	Rating
1	1	UCLA	1972	Bill Walton	6	0	72	62	15.5
23	2	UCLA	1967	Kareem Abdul-Jabbar	2	1	83	87	5.6
36	3	Oregon	2017	Dillon Brooks	4	3	71.9	69.9	2.7
37	4	Arizona	2015	Stanley Johnson	3	1	75.3	70.5	2.6
48	5	Arizona	1997	Mike Bibby	2	1	68.7	71	1
57	6	USC	2021	Evan Mobley	1	0	77	67	0
62	7	Colorado	2021	McKinley Wright	1	0	86	82	-0.6
88	8	Utah	1998	Andre Miller	0	1	69	79	-4.6
94	9	UCLA	2006	Jordan Farmar	2	3	66	72.4	-5.2
99	10	California	1959	Jack Grout	0	1	69	71	-5.8
125	11	Arizona St.	1980	Byron Scott	0	1	64	79	-10
All-Time	Conf Rank	SEC Conference	Year	Player	Won	Lost	Score	Allow	Rating
4	1	Kentucky	1996	Antoine Walker	2	1	72	69.3	13.6
15	2	Arkansas	1994	Corliss Williamson	1	2	75.3	70.3	7.7
28	3	Auburn	2019	Chuma Okeke	8	1	71	65.3	4.2
33	4	Kentucky	2012	Anthony Davis	4	2	72.2	65.7	3.7
45	5	Missouri	1982	Steve Stipanovich	2	0	69.5	65.5	1.5
58	6	LSU	1992	Shaquille O'Neal	1	1	82.5	81	-0.2
63	7	Florida	2006	Joakim Noah	5	3	74.4	72	-0.7
80	8	South Carolina	2017	Sindarius Thornwell	1	2	65.3	65.7	-3.4
81	9	Kentucky	1948	Alex Groza	1	1	71	81.5	-3.8
98	10	Tennessee	1977	Bernard King	1	1	76	83	-5.7
102	11	LSU	2006	Glen Davis	1	2	66.3	75	-6.4
103	12	Alabama	1977	Reggie King	0	1	70	71	-6.6
112	13	South Carolina	1973	Mike Dunleavy	0	1	66	72	-8.2
113	14	Auburn	1984	Charles Barkley	1	1	71.5	77	-8.3
117	15	Kentucky	1970	Dan Issel	0	1	116	138	-8.6
121	16	Arkansas	1978	Sidney Moncrief	0	1	58	79	-9.6
123	17	Georgia	1982	Dominique Wilkins	1	1	70	78	-9.7
132	18	LSU	1970	Pete Maravich	0	1	66	67	-13

Calculated Value Add Basketball Game Cards - 2nd of 2 Posts

The 136th team has been added to the Value Add Basketball Game cards. If you click on that link, you can print page 111 to get the Stephen F. Austin cards without having to scroll through the 136 pages - one team to a page.

In the previous blog we walked through the calculations to create the offensive ranges on the card. In this blog we cover Steps 6 though 13 for creating your own teams, and in this case we completed all steps to create our 136th All-Time Great team, the 14-seed Stephen F. Austin team that in 2016 blew out 3-seed West Virginia behind 33 points by Thomas Walkup. It was the 13th MVP in 15 games according to www.kenpom.com, and Walkup & SFA already upset 5-seed VCU in March Madness, and would have gone to the Sweet 16 but for a desperation tap by Notre Dame in the next game.

The cards below have been added as the 136th team, and to invent any new team you want, you can first review the previous blog on how to make your own cards.You can then use steps 6 to 13 below to create any other new team you would like to add. 

Steps 1-5 on the previous blog cover the parts of the cards above already calculated. The following steps fill in the rest of the information.

Step 6. Add Points Per Game or Value Add Ranking in Line 2. While not a necessary step, I like to add the points per game for players from the last Century, or the Value Add Basketball Ranking for each player to give a quick reference for the top players. In this case I click on https://valueaddbasketball.com/ballall.html and search by Stephen F. Austin and 2016 and get this sheet.

This is also a nice double check on our line-ups, and in this case I noticed that we calculated Clide Geffrard as the 2nd best player on the team behind Walkup, while I had slated him as the back-up Power Forward. When I looked closer, he did play 62% of the minutes so has great endurance, but he did start only two of 30 games - so he was the incredible 6th man in games. I left him at "back-up" Power Forward, but when playing the game you can use a player where ever you want and either as a sub or starter - just use Stamina to make sure they don't play too much.

Because there are more than 4,000 players every year, we list a player near the top 40 as "top 1%" of players, then close to the top 200 is top "5%,", close to the top 400 is "top 10%," etc. On the cards based on their Value Add we added to the card:

Walkup 1st/MVP

Geffrard top 10%

Floyd top 15%

Charles top 25%

Holyfield top 30%

Johnson top 50%

Then we don't list anyone for the others, as they are not in the top 50%.

Stats for National AdjO, TO%, Blk% and Stl% for Final Steps

For the final steps, you will need to scroll up to the top of the team sheet to record the national averages circled below. In 2016, the national AdjO = 104.8, Turnover% = 18.1, Block% = 9.2 and Steal% = 8.6.

Step 7. Calculating Steals on the Card. Steals occur on 11-16 or 31 on the 11-66 dice rolls. To determine the player's steal% (4.0 for Walkup) by 15 (60 for Walkup) and divide by the league team Steal % (8.6 in 2016) so that equals 6.97 for Walkup. This rounds to 7 steal numbers for an 11-17 steals on Walkup's card. Keep in mind a guard always has the option of a fast break off a steal, a forward has the option if the roll was odd numbers (11,13,15,31) and a center can never start a fast break off a steal.

 

If you want the more detailed reverse engineering -

To calculate each players steal range, you start by finding the average steal rate that season, which was 8.6, and divide that by 5 players to get the average steal percentage per player that year of 1.72. Therefore a exactly average player with a 1.72 Steal% will steal the ball on half the main range - a roll of 11-13 when the player he is guarding has the ball.

You divide that by 3 to get 0.57, meaning a player should get one steal for every 0.57. Therefore that calculates to this table, which is pretty close to what you will have most years. Here are the ranges and the number of steals we add to each player on the Stephen F. Austin players, who had the 5th highest overall steal teams with Walkup stealing on 11-16 (the 11-17 is a little better for advanced games) and three other players stealing the ball on five of the six steal numbers of 11-15 (Charles, Floyd and Pinkey).

1 steal for every	Bottom Range	Top Range	Steals 11-	Stephen F. Austin Steal Ranges
0.57	0	0.28	No Steals
0.57	0.29	0.85	11-11'	Cameron 0.1
0.57	0.86	1.42	11-12'	Williams 0.9
0.57	1.43	1.99	11-13'	Holyfield 1.7, Johnson 1.4, Bain 1.7
0.57	2	2.56	11-14'	Geffrard 2.4
0.57	2.57	3.13	11-15'	Charles 3.0, Floyd 2.7, Pinkey 3.1
0.57	3.14	3.7	11-16'
0.57	3.71	4.27	11-17'	Walkup 4.0
0.57	4.28	4.84	11-18'
0.57	4.85	5.41	11-19'
0.57	5.42	or higher	11-20'	A player with this steals 31 on all cards

Steal 8. Calculate Blocks on card. The math is the same basic math. In this case TJ Holyfield blocks 8.3% of all 2-point shots while he is on the courts almost as many as the average team (9.2) in 2016, so he calculates with more than the max 10 block shot numbers.

Here is how the equation calculates for all players in the order the cards will be printed.

Player	Blk%	Card Blocks	Ht
Trey Pinkney	0.1	0.2	5'9
Demetrious Floyd	0.5	0.8	5'11
Thomas Walkup	1.9	3.1	6'4
Ty Charles	1.5	2.4	6'5
TJ Holyfield	8.3	13.5	6'8
Jared Johnson	0	0.0	5'0
Dallas Cameron	0.4	0.7	6'3
Nathan Bain	4.2	6.8	6'6
Clide Geffrard	2	3.3	6'5
CJ Williams	0.4	0.7	6'7

The block range is 21-26 on the card and can go up to 21-30 on the card, which like steals, really means 21-26 blocked shot on the player he is guarding, and then on a 32 roll he blocks the shot no matter which of the five opposing players has the ball. Since Holyfield's 13.5 is will behind the maximum 10, he gets a 21-30 on his card and blocks a shot any time a 32 is rolled, no matter who the ball went to on the other team.

Therefore Pinkney has a "None" by his blocks because 0.2 rounds down to 0, Floyd blocks only on 21 since 0.8 rounds up, Walkup blocks on 21-23 for his 31. etc.

Steal 9. Fouls. The FC/40 factor, fouls charged on a player per 40 minutes, translate onto a straight table for how many fouls are charge to him in the 33-36 defensive foul range.

FC/40 bottom range	FC/40 top range	Fouls on card
0	2	No fouls
2.01	3	36
3.01	4	35-36
4.01	5	34-36
5.01	higher	33-36

 

Here are the actual ranges based on the SFA 2016 players. Three players committed a lot of fouls, and thus have the highest 33-36 range. Keep in mind half the fouls charged are from the offensive player that the defender is guarding.

Player	FC/40	Card Fouls
Trey Pinkney	3.4	35-36
Demetrious Floyd	2.3	36-36
Thomas Walkup	3.8	35-36
Ty Charles	4.5	34-36
TJ Holyfield	6.9	33-36
Jared Johnson	5.5	33-36
Dallas Cameron	3.5	35-36
Nathan Bain	3.6	35-36
Clide Geffrard	4.0	35-36
CJ Williams	6.2	33-36

Steal 10. Turnovers. The same basic math works with the turnovers, since half of all turnovers committee by a team result from the defensive card steals against him. The turnovers on these cards are dead ball turnovers (thrown out of bounds, traveling, etc.) - unlike steals the do not result in a potential fast break. 

Start by looking up the TORate for the entire league. There is no need to divide by 5, because the League Average and Player Average are both the percent time the ball is turned over.

Floyd was the best at protecting the ball on SFA 2016. Here is the equation to run:

Players Turnover Rate (10.6 for Floyd) MINUS half of the league TORate (17.7 is the league average so use 8.85 in this part of the question) and for Floyd that equals 1.75 for Floyd. This number is then divided by 3 (leaving 0.6 for Floyd) which barely rounds up to 1 turnover. Since the turnover range starts at 41 you then just add 40 to that number (to get 40.6 for Floyd) which just misses a "None" on turnovers, but does round up to a 41 to make 41-41 as a range. Williams had the most turnovers on the team, calculating to a 41-47, but the highest range is 41-46 so that is his range. Here are the turnover ranges for each SFA 2016 team.

Player	TORate	Half Lg	minus	div 3 + 40	Card
Trey Pinkney	22.0	8.85	13.15	44.4	41-44
Demetrious Floyd	10.6	8.85	1.75	40.6	41-41
Thomas Walkup	12.0	8.85	3.15	41.1	41-41
Ty Charles	19.5	8.85	10.65	43.6	41-44
TJ Holyfield	27.1	8.85	18.25	46.1	41-46
Jared Johnson	17.2	8.85	8.35	42.8	41-43
Dallas Cameron	14.9	8.85	6.05	42.0	41-42
Nathan Bain	20.3	8.85	11.45	43.8	41-44
Clide Geffrard	15.9	8.85	7.05	42.4	41-42
CJ Williams	29.8	8.85	20.95	47.0	41-46
League Average	17.7	8.85	8.85	43.0	41-43

Step 11. Determine Stamina of each player - how many of 44 possessions he can play before losing effectiveness. 

The formula for Stamina uses the players Min% (percent of minutes played)

Stamina = (Min% x 0.66) – 11

Here is the calculation for each SFA 2016 player.

Player	%Min	x .66 - 11	Optional list possessions
Trey Pinkney	67.8	45	PG 44-1
Demetrious Floyd	61.8	41	SG 41-1
Thomas Walkup	75.2	50	SF 44-1
Ty Charles	62.3	41	PF 44-42, 38-1?
TJ Holyfield	50.2	33	C 44-38, then 25-23 then ?
Jared Johnson	28.7	19	if 3-pts needed
Dallas Cameron	42.5	28
Nathan Bain	11.2	7
Clide Geffrard	62.6	41	SG 44-41, PF 40-38, C 37-27 then 24-1?
CJ Williams	21.4	14

An option at this stage is to not only enter the Stamina number, but go ahead and try to figure out the rotation of players you would typically use in the game. 

When looking over SFA's 2016 staminas, there is plenty of stamina on the team so I would use a 6- to 7-man rotation and probably not put Cameron, Bain or Williams in the game unless there is foul trouble.

As noted above, Geffrard only started two games but was actually the second most valuable on the team. While Pinkney and Walkup can play all 44 possessions (44-1 in the notes) both Floyd and Charles need to sit out just 3 possessions with their 41 Stamina. Therefore I have Geffrard play the first three possessions in place of the SG (he isn't really playing the SG position, but it's easier to note that way on who he is replacing from the starting line). Then he plays the next three possessions (40-38) in place of the Power Forward. 

Since Holyfield at center is a 33 he needs to rest at least 11 possessions, I put Geffrard in for the Center for those 11 possessions from 37-27. Geffrard then needs to sit 3 possessions, so I have him sit possessions 26, 25 and 24 with Holyfield in his place.

At that point, we have possessions 23 - 1 (the end of the game) to play and Geffrard and Holyfield both have Stamina to play the game. We calculate Geffrard as the higher ranged player so we may leave him in the rest of the game - but as noted above, Holyfield is the great defensive shot blocker so we might want him to protect the lead - so we may decide based on the game situation.

At very least, these six players will play every game. The other player I see who I might use in certain situations is the backup point guard Jared Johnson, who is the deadliest 3-point shooter on the team with a 1-6 range on the 20-sided die of making a 3-point shot. He could be key to a late rally if behind of even just needing a 3-point shot down 3 at the end.

None of these rotations are required, they are just suggestions when you pull out a team for the first time. The only key is not to have a player still on the court after their Stamina runs out, because then they are tired and every die roll of any kind is adjusted one against them in whatever direction hurts them.

Step 12. Determine the Offensive and Defensive Rebound Range of each player.

Walkup was the best rebounder on the team, just edging Holyfield. The formulas to determine if a player grabs a rebound he has a chance to get on the Rebound Chart and a 1-6 roll, is as follows:

Take the players Offensive Rebound % (Walkup 9.2 OR%) and multiply by 0.5, then add 1.2 and the rounded number for Walkup is 6, meaning he gets the offensive rebound on any of the rolls of 1-6 if the 20-sided die gives him the chance at the rebound after SFA misses a shot. Note that while that is the whole range, players can have a higher range which lets them get rebounds when the game calls for the highest rebound number in the game. For example, Purdue's center this year - Zach Eddy - had a 20.7 OR% which gives him a 1-12.

The Defensive Rebound % (Walkup 18.6) is multiplied by a lower number, 0.25 (leaving 4.65 for Walkup) and then you subtract 1.2 and round (leaving 3 for Walkup).

Therefore Walkup gets a 1-6 for Offensive Rebounds (excellent) and a 1-3 for Defensive Rebounds (average). As a whole SFA was a very good offensive rebounding team but overall pretty weak defensive rebounding team. Here is the same calculation for each player on the team and what will end up on their car.

In my notes on rotation of players above I did not include Williams, but looking at these calculations he is the only good defensive rebounder on the team, so if that became an issue against a certain team it might make sense to sub him into to the game.

Player	OR%	*.5	Card+1.2	DR%	*.25	Card-1.2
Trey Pinkney	1.5	0.75	1-2	6.8	1.7	1-1
Demetrious Floyd	1.5	0.75	1-2	6.8	1.7	1-1
Thomas Walkup	9.2	4.6	1-6	18.6	4.65	1-3
Ty Charles	7.3	3.65	1-5	13.9	3.475	1-2
TJ Holyfield	8.8	4.4	1-6	17.2	4.3	1-3
Jared Johnson	2.8	1.4	1-3	6.5	1.625	None
Dallas Cameron	2.9	1.45	1-3	3.9	0.975	None
Nathan Bain	7.2	3.6	1-5	22	5.5	1-4
Clide Geffrard	9.8	4.9	1-6	18	4.5	1-3
CJ Williams	7.1	3.55	1-5	25.1	6.275	1-5

At this stage, the cards have been filled into this level:

Step 13. At this stage the cards are set except for the last piece - the crucial dunk range.

The cards would be accurate at this stage if all teams played roughly the same Strength of Schedule, like in a professional league. This is not true in the game, where most teams played against a very high level of competition in one of the Power 6 conferences or a High Mid-Major, in addition to several elite March Madness opponents. 

However, playing in the Southland Conference, SFA faced a much lower level of competition, and the Dunk Range is the adjustment for that. The two key www.kenpon.com stats that measure that are the opponent's OppO (how tough were the opposing offenses) and OppD (who tough were the opposing defenses). In 2016, the average AdjO (points per 100 possessions) was a very high 104.8. However, SFA's competition most of the year was not Elite like most teams in the game, and in fact was well below average as show by their numbers.

SFA faced only the 251st best opposing offenses (average 102.7 points per a hundred trips, two points less than the league average of 104.8.

SFA faced only the 321st best defenses in the country (average allowing 108.6 points per 100 trips adjusted for their competition, so 3.8 points more than the average team would allow).

If a team played average opponents all year (104.8 AdjO and AdjD) then their dunk range would calculated as three dunk numbers (51-53) and a balanced defensive number of +0 that did not either add or subtract from the opponent's dunk range.

Here is the basic calculation for the two figures for each team:

 

Calculations for team's Offensive Dunk Range	SFA Tally
Opp AdjD (Opponents Adjusted Defense)	108.6
League Average Adj0 that season - 104.8 in 2016	104.8
Subtract League Average from Opp AdjD	3.8
Multiply by 0.72	0.72
equals what an average offense should score against defenses they faced	2.736
The Final Dunk Range numbers is 3 minus number above (3 - 2.24 rounds to 1)	0.264
The Dunk Range starts at 51, but with SFA having 0 dunks is calculates as 51-50	51-50

Calculations for team's Defensive Adjustment to Opponents Dunk Range	SFA Tally
Opp AdjO (Opponents Adjusted Offense)	102.7
League Average Adj0 that season - 104.8 in 2016	104.8
Subtract Opp AdjO from League Average	2.1
Multiply by 0.72	0.72
equals +3	1.512
Add or Subtract Rounded Figure Above as Adjustment to Opponents Dunk	+2

There is an alternate method of plugging numbers into this google sheet to calculate both.

With these 13 steps complete, the following is the 136th team in our Value Add Basketball Game Great Teams set - the 2016 Stephen F. Austin team.

How to Make Your Own Value Add Basketball Cards - Our 136th Team

Some of the 63,700 who have visited our Value Add Basketball Game ask about creating new teams. We created the 2020 anticipated NCAA and NIT teams to play the Covid cancelled tournament, in addition to the 135 All-Time Great teams. 

One reader is working on an automated calculation of cards, though it is complicated, so after giving him the script we decided to also post this blog in case you want to manually go through to create one of your favorite teams. The process for teams before the start of the www.kenpom.com era (2002 to present) is simply too complicated to script, so the following process works only for seasons since then.

You first need to access the team you want to create at www.kenpom.com. We've tried to pick the best combos of top players and top teams - but also as often as possible create one for a university that does not yet have a team in the game. We actually meant to create 136 all-time great teams and accidentally did 135 in the first place, so our new 136th team is a new University - the greatest 3-year Cinderella run of the Century led by the only player from a small conference to be the best player in the entire country - Thomas Walkup and Stephen F Austin.

1. Pick you team from 2002 - present: Thomas Walkup and Stephen Austin 2016. Value Add Basketball calculates that the best player in all 21 seasons were from a Power 6 Conference or very high major conference (ACC 4, American 1, Big Ten 4, Big 12 3, Big East 1, CUSA 1, MWC 2, Pac-12 2, SEC 2) except one. In 2016 Thomas Walkup of Stephen F. Austin calculated as the best player in the country.

Not only was Walkup the best player in 2016, he was in the best 1% of all players in 2015 and top 5% of all players in 2014, the greatest 3-year span of a Cinderella team this Century. During that 3-year tenure of current Illinois coach Brad Underwood, Stephen F. Austin went 89-12. In 2014 they stunned VCU in the NCAA tournament, then Walkup scored 22 and grabbed 11 rebounds in a 2nd round loss to UCLA. In 2015, the lost a defensive battle in the opening round to the other team we considered for this 136th team - the Utah team that featured Value Add's best player in the nation for 2015 - Delon Wright. 

Anyone who doubted if our ranking of 2016 with Walkup as the most valuable player in the country should look at the 2016 tournament. Walkup scored 33 points, and added 9 rebounds, 4 assists and 4 steals in a stunning upset blowout of West Virginia 70-56, then added 21 points despite missing most of the second half in foul trouble as only a desperation tip-in by Notre Dame eliminated SFA 76-75.

And so we present the greatest 3-year Cinderella team of the Century as our 136th Great All-Time team.

2. Get the team's stats from www.kenpom.com and calculate their dunk total. 

Once you pick your team, find that team at www.kenpom.com. You can see the page above for the first step, then need a $20/year subscription to access the rest of the team data. Under Strength of Schedule record the team's OppO and OppD for calculating the Dunk range in the final Step 13.

Then click on the team to pull up the team sheet and scroll to the bottom to see these player stats. You will need the stats that are circled for the top 10 players. The bottom chart just tells you the best position for each player.

Copy and paste the stats for the top 10 players in the top section above into an excel spreadsheet. Note any shooting ranges that starts with a 1 through 12 will show up as a month when you paste, so just us an extra mark to convert it. Here is what is pasted from the Stephen F. Austin 2016 page. 

The column I added to the right is which position each player will play. I use the depth chart Ken Pomeroy provides at the bottom, so when I see Trey Pinkney played point guard 77% of the time, I put a "1" by his line to show he is the starting point guard. The numbers 6-10 I used for backups, so after entering 1 through 5 by players, I put a "6" by Jared Johnson as the backup point card. This is important because it is the order in which the players will appear on the team sheet. Remember, teams are limited to 10 players, so in this cards the players with the lowest percent of minutes played will not be in the game, Jovan Grujic (8% of minutes played), Lasani Johnson (4.6%) and LaQuan Smith (3.7%) will not have player cards.

I also noted in bold or font color what columns we will use to calculate the cards. The other columns are not used and will be eliminated.

3. Delete the columns you do not need. At this point we delete the columns we don't need as well as those players who will not have one of the 10 player cards We also take the columns in red out to the right and convert and rearrange them slightly into 2-pointers and 3-pointers missed instead of attempted, and we divided free throw attempts by 2 for a new figure. After those changes, here is the condensed part of Pomeroy's stats we need to keep.

4. Run the calculations for what happens on the 1-20 die when the player tries to score. We can now calculated what happens based on the 20-sided die once a player gets the ball and he tries to score. 

To jump ahead to the easy part, if a player gets to the free throw line you roll the 20-sided dice and the range is based on the rounded free throw percentage. Walkup hit 83% of his free throws, so we multiply that figure by 20 to get "17," meaning he will make a free throw on 1-17 and miss it on 18-20.

Now to the 20-sided roll before that, when the player first gets the ball and tries to score. In Walkup's case he made 9 three-pointers, 187 two-pointers, he attempted 190 free throws and half of that is roughly 95 trips to the line, he missed 28 three-pointers and he missed 111 two-pointers. Add those together, and he tried to score 430 times. Therefore we divided each of those five numbers by 430, then multiply by 20 to determine how often each thing should happen each time the 20-sided roll comes to him to try to score.

The calculations you see after the "430" figure on that top line create this part of the card.

Thomas Walkup

3-pt made: None (0.4 per 20 rounds down to zero)

2-pt made: 1-9 (8.7 rounds up to 9, so he gets nine numbers with a made 2-pointers)

2 Free Throws: 10-14 (4.4 would round down to 4 BUT we actually add the numbers up to that point, so 0.4 plus 8.7 plus 4.4 = 14 so the Foul drawn number actually goes up to 14 rather than 13 or this 10-14 range).

3-pt missed: 15 (1.3 rounds down to 1)

2-pt missed: 16-20 (5.2 rounds down to five numbers and when you add the 5 calculations they do add up to 20.0, which is a double check that the formulas are all accurate). 

FT Made: 1-17 (as mentioned above, the .83 free throw percentage times 20.

As you can see, a deadly combination of drawing a foul on 10-14 and then hitting the subsequent two free throws on rolls of 11-17 show some of the reason he dominated in 2016.

5. Look at % Possessions to determine who gets the ball. Before you use that 20-sided die roll, you need to figure out who gets the ball on each possession. The 8-sided die determines his. Each player gets the ball on 1 of the first 5 numbers, so if the 5 starters were in, based on the left column, a roll of 1 goes to the PG Trey Pinkney, a 2 goes to the SG Demetrious Floyd, a 3 goes to the SF Walkup, the 4 goes to the PF Ty Charles and finally a 5 goes to the C TJ Holyfield.

This leaves the determination of who gets the ball on a 6, 7 or 8. Once in a while a player has a % possession of higher then 33%, and if that were the case then the player would get the ball on two of the three extra rolls, so if Walkup were that high, then by the "Gets Ball On: you would type 3, 6 & 8." 

Since no player is above 33%, we instead take the three starters with the highest possession percentage get the ball on an extra number, so the Get Ball On comes to:

1 - Trey Pinkney (only 8.1% of possessions, so definitely the fewest possessions and only his one number as point guard.

2 & 6 - Demetrious Floyd (21.5% is second highest)

3 & 7 - Thomas Walkup (27.3% is highest)

4 & 8 - Ty Charles (21.1%)

5 - TJ Holyfield (20.3%).

You then to the same thing with the five subs, so 1 & 6 = Jared Johnson, 2 - Dallas Cameron, 3 = Nathan Bane, 4 & 7 - Clide Geffrard, 5 & 8 = CJ Williams. Often a mixture of starters and reserves are in the game. In that case, if you have too many 6-7-8 on players cards you simply choose which three will get on of the extra rolls, and if you do not have all 6-7-8 numbers come up, then if that number comes up then no one gets the ball and you roll a second time, but if any of the three (6, 7 or 8) come up then it is a shot clock violation and the other team gets the ball on a turnover.

Those are the five steps to calculate the offensive numbers on each card. The next blog will calculte the defensive numbers and rebounding on each card.

Best 25 College Basketball Teams on the Road

Look for the feature story on the CBS Sports Site Dodds on Sports that will run down the top road teams in the country.

This blog is a link for anyone who wants to look further down the list of the best road teams this year, or for the fellow stat geeks who want to read the way kenpom calculations are made - below these lists.
 

Rnk	Top 25 Road Warriors	SoS	Wins	Loss	Margin	Away kenpom
1	Kansas	20.3	3	0	15.0	35.3
2	Houston	13.3	3	0	19.0	32.3
3	UCLA	14.0	4	0	16.8	30.8
4	Alabama	19.0	3	0	9.0	28.0
5	Tennessee	12.7	2	1	14.0	26.7
6	UConn	18.8	2	2	5.3	24.0
7	Oklahoma St.	16.8	2	2	6.8	23.5
8	Rutgers	24.7	1	2	-2.3	22.3
9	Marquette	17.6	3	2	3.6	21.2
10	West Virginia	16.2	2	3	4.0	20.2
11	Providence	11.8	4	1	8.0	19.8
12	Kansas St.	16.5	2	2	3.0	19.5
13	Purdue	14.3	3	0	5.0	19.3
14	San Diego St.	10.7	3	0	8.7	19.3
15	Wisconsin	20.7	2	1	-1.3	19.3
16	Creighton	27.7	0	3	-8.3	19.3
17	Gonzaga	16.3	4	1	4.4	19.2
18	Xavier	11.5	4	0	7.3	18.8
19	Virginia	15.0	2	2	3.8	18.8
20	Missouri	18.0	2	1	0.0	18.0
21	Penn St.	18.7	1	2	-0.7	18.0
22	Seton Hall	23.0	2	4	-6.3	16.7
23	Utah St.	5.7	3	0	10.7	16.3
24	New Mexico	10.5	3	1	5.5	16.0
25	Auburn	12.3	1	2	2.7	15.0
Rnk	Others Qualified	SoS	Wins	Loss	Margin	Away kenpom
26	Indiana	24.0	1	3	-9.3	14.8
27	Memphis	16.5	1	3	-1.8	14.8
28	Iowa St.	19.3	2	1	-4.7	14.7
29	Clemson	10.5	3	1	3.8	14.3
30	Utah	10.8	3	1	3.3	14.0
31	FL Atlantic	5.4	4	1	7.6	13.0
32	Sam Houston St.	11.3	5	3	1.1	12.4
33	North Carolina	15.8	1	3	-3.5	12.3
34	Washington St.	14.9	1	7	-6.1	8.8
35	Nebraska	17.2	2	4	-9.5	7.7
36	Va Tech	10.0	0	3	-3.0	7.0
37	Kentucky	24.7	0	3	-18.7	6.0
38	Weber St.	8.9	2	5	-5.4	3.4
39	Southern Illinois	4.5	4	4	-1.4	3.1
40	Colorado St.	16.2	1	4	-13.2	3.0
41	Duke	12.3	1	2	-11.3	1.0
42	Northwestern St.	6.8	4	5	-8.9	-2.1
Rnk	Only 1 or 2 road games	SoS	Wins	Loss	Margin	Away kenpom
	Texas	20.5	2	0	5.5	26.0
	Saint Mary's	24.5	1	1	-1.0	23.5
	Ohio St.	19.5	1	1	3.5	23.0
	TCU	20.0	2	0	2.5	22.5
	Oklahoma	18.0	0	2	-0.5	17.5
	Arizona	17.5	1	1	-3.0	14.5
	Texas Tech	20.0	0	1	-6.0	14.0
	Arkansas	17.5	1	1	-8.0	9.5
	Illinois	18.0	0	2	-9.0	9.0
	Baylor	22.5	0	2	-20.5	2.0

These would be the standings (give or take a rounding error) if teams were rated using Ken Pomeroy's method but only based on the road games they played this year. Too often a team looks really dominant at home in a few early games, and then cannot handle hostile crowds. On the flip side, the teams that can handle the pressure of a hostile crowd seem more likely to handle the pressure of March Madness.

The 42 teams we did calculated fit one of two categories:

1. One of the 30 teams who were both in the overall www.kenpom.com Top 40 AND played at least three road games, or

2. One of the 12 teams who are not in www.kenpom.com top 40 but have won a road game at a Top 40 team AND have played at least three road games.

It is very unlikely any other teams we did not calculate would be in the Top 20.

There are 10 teams who are in the top 40 at www.kenpom.com but have NOT played three road games yet, so we list them at the bottom. The Texas Longhorns ranking of 26.0 in the bottom set of teams would rank them 6th in our road Top 25, but based on only two games we want to wait until they get their tough road tests in Big 12 player shortly.

How we simulated KenPom's rankings:

SoS - the strength of schedule is the average www.kenpom.com AdjME for the team's road games today rounded to the nearest number. The number on this table is then increased by +4 to give credit for the four point edge to the home team opponent, and we did include "semi-road" games but in that case only two points were added to the SoS.

For example, our #1 road team Kansas played road games at Missouri, West Virginia and Texas Tech, and those three teams average a 16.3 AdjEM at www.kenpom.com. However, because these are all true road games, we add +4 to each and the average comes out to 20.3. 

Not only did Kansas beat all three, but they averaged beating them by 15.0 points, so the kenpom system adds the SoS and the margin of the scores, and together the www.kenpom.com rating if only road games were counted would be 35.3 - making Kansas the best team in the country in this small sample.