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| Key to the Symbols What do the symbols mean?  Click Here to find out more History of Biorhythms Who discovered them and how? |
Track Record
NFL Track Record
The analysis of the games below was based upon the biorhythmic difference between two teams being no less than a value of 3 as determined by the TeamBios program. So in the column entitled DIFF, the number had to be 3 or more to be listed within these tables. At the top of each table in blue are the home teams that would represent betting opportunities. In the bottom portion of each of the tables are the away games listed in black print. If you analyze the results of the games below you'll find that you can increase your percentage of winners significantly by:
- Betting only home teams
The highest percentage of winners was with a home team with strong bios. You can bet on away games but the away team should be stronger than the opposing team with very strong biorhythms using the TeamBios program. Do not bet on a weaker team on the road - most likely not even very exceptional team biorhythms can help that team (See the Law of Initial Value in the Biosoft Biorhythm Sports Journal).
- Don't give up more than 10 points
- Bet on the teams that are equal to or stronger than the opponent
- Check their power ratings
The highest percentage of winners comes from betting the stronger home team with very strong biorhythms. That is, the difference between two teams' biorhythms must be at least a ratio of two to one. For example, in the table of 9-20-98 in the second row: TB = 6, CHI = 3. This is a ratio of 6:3 or 2:1.
You won't have to worry about how to do any calculations since all TeamBios Software do it all for you. All you need to do is find which team has the larger number shown at the bottom of the screen. In the case of the TeamBios CV series of software, you would look for the green for the highest win percentage, yellow for second highest win selections and red for the third level of selections versus the spread.
FINAL TALLY:
The results of this first year with my revised TeamBios program yielded the following results:
- Home Teams with Good Bios:
- Away Teams with Good Bios:
- 38 wins, 12 Losses and 4 ties
76% - 20 wins, 22 losses and 2 ties
48%
As you can see, it's best to be follow the NFL Checklist to win Away games.
Now, if you want an even higher percentage only bet those home teams where the difference between the two teams is 2:1 or higher. The results were an astounding 25 wins, 3 losses, 1 Tie; for 89.3%! The best part is that the results for the 1999 through 2004 NFL seasons were very similar to these results. During 2006 we determined how to increase the accuracy level of the away games that Teambios selects as plays.
At the end of the season where there were only four weeks left, TeamBios NFL CV selected 7 games in Green (the highest win percentage). All seven games won against the spread. It will be interesting to see how the green selections do during the entire 2007 - 2008 NFL season.
NFL Tracking 2007-08
Here's our NFL Track Record so far this season (2007-08). TeamBios Pro CV is doing exceptionally well. Since it identifies when there are very large differences between the two teams in a game there are not a large Number of selections that it will make for each week. However, the probability of winning is very high - currently we're at 78% winners and with the newest addition of the head coaches it has been even higher.
Teams selected in Bold
| Home Tm | Away Tm | Color | Point Spd | Score | W/L | Notes | |
| Sept 9 and 10, 2007 | CIN | BAL | Green | -2.5 | 27 - 20 | w | |
| MIN | ATL | Yellow | W | ||||
| NYJ | NE | Yellow | 6.5 | ||||
| WAS | MIA | Yellow | 3 | 13 -16 | W | ||
| SEA | TB | Red | 6 | 6 to 20 | NA | Coach Bio Conflict | |
| OAK | DET | Red | -3 | 21 - 36 | L | Coach Bio Conflict | |
| Sept 16 and 17, 2007 | PIT | BUF | Green | -9.5 | 26 - 3 | W | |
| DEN | OAK | Green | -9.5 | 23 - 20 | NA | Coach Bio Conflict | |
| KC | CHI | Green | -12 | 20 - 10 | L | Not bet (-10 points). | |
| WAS | PHI | Green | 7 | 20 - 12 | W | ||
| Sept 23 and 24, 2007 | PIT | SFO | Green | -9 | 37 - 16 | W | |
| BAL | ARI | Green | -7.5 | 23 - 20 | NA | Coach Bio Conflict | |
| DEN | JAC | Yellow | -3.5 | 14-23 | NA | Coach Bio Conflict | |
| GB | PHI | Yellow | -6 | 31 - 24 | W | ||
| OAK | CLE | Red | 3.5 | 24 - 26 | W | Need to enhance algorithm | |
| PHI | DET | Red | 6.5 | 21 - 56 | L | ||
| Adding coach’s Bios | |||||||
| Sept 30 Oct 1, 2007 | IND | DEN | Green | -9.5 | 38-20 | W | |
| DAL | STL | Yellow | -13.5 | 35-7 | W | ||
| Oct 7 and 8, 2007 | TEN | ATL | Green | -8 | 20-13 | L | |
| NYG | NYJ | Green | -3.5 | 35-24 | W | ||
| NE | CLE | Green | -16.5 | 34-17 | W | No Bet Over -10 pts | |
| WAS | DET | Red | -3.5 | 34-3 | W | ||
| Oct 14 and 15, 2007 | SD | OAK | Green | -10 | 28-14 | W |
NBA Track Record
The following documented results for the 1994 - 95 NBA season is categorized by the ratio difference between two teams. As you can see there is a definite pattern which indicates that the higher the ratio difference, the greater is the potential to win versus the spread.
Note that the ratios that are less than 2:1 have lower percentages of wins. This is very significant since if you bet only those games with a ratio difference of 3:1 and higher, you will have an extremely profitable season.
My NBA Checklist must also be followed to enable you to obtain similar percentages of wins versus the pointspread. The 1994 year was the first year I used my Program. Each year to the present has yielded very similar results.
Winning Ratios
RATIO = 5:1 |
3 WINS |
1 LOSS 1 Tie |
75% |
RATIO = 5:2 |
7 WINS |
1 LOSS |
87.5% |
RATIO = 5:3 |
2 WINS |
3 LOSSES |
40% |
RATIO = 6:1 |
5 WINS |
0 LOSSES |
100% |
RATIO = 6:2 |
9 WINS |
0 LOSSES |
100% |
RATIO = 6:3 |
10 WINS |
3 LOSSES |
76.9% |
RATIO = 6:4 |
5 WINS |
2 LOSSES 1 Tie |
71.4% |
RATIO = 7:1 |
1 WIN |
1 LOSS |
50% |
RATIO = 7:2 |
3 WINS |
1 LOSS |
75% |
RATIO = 7:3 |
6 WINS |
2 LOSSES |
75% |
RATIO = 7:4 |
5 WINS |
2 LOSSES |
71.4% |
RATIO = 7:5 |
-- |
-- |
-- |
RATIO = 7:6 |
1 WIN |
3 LOSSES |
25% |
RATIO = 8:1 |
1 WIN |
0 LOSSES |
100% |
RATIO = 8:2 |
1 WIN |
0 LOSS |
100% |
RATIO = 8:3 |
7 WINS |
2 TIES /2 LOSSES |
77.7% |
RATIO = 8:4 |
5 WINS |
5 LOSSES |
50% |
RATIO = 8:5 |
1 WIN |
1 LOSS |
50% |
RATIO = 9:3 |
3 WINS |
1 LOSS |
75% |
RATIO = 9:4 |
9 WINS |
4 LOSSES |
80% |
PGA Tournament Champions
Golf also requires a positive emotional and intellectual cycles for greatest performance potential and for the best scores. I have tracked many golfers that have had their lifetime best with a positive in both emotional and intellectual cycles. Not surprisingly, a minus in the physical cycle did not appear to affect the play of those golfers since excessive strength and endurance are not usually a primary requirement for playing well.
During the PGA Tournaments for 1990, 1991, and 1992 the biorhythms of the first place winners in each of the 121 tournaments were calculated.
(There were 126 PGA tournaments played however, I did not have birthdates of 5 of the champions). The following interesting data was obtained from my analysis:
Of the 121 tournaments:
- 79 winners had an emotionally positive (+ or #) phase during the four-day tournament. This equates to 65% or roughly: For every three tournaments, two were won by a golfer with a positive emotional cycle.
- 60 winners were in an intellectually positive phase during the four-day tournament. This represents 49.5% or roughly, half of all the winners had an intellectual plus.
- 39 first place winners (32.2%) had both an intellectually and emotionally positive phase during their four-day tournament. This means that approximately one-third of the champions had a positive phase in both cycles when they won the tournament. This supports the data I have collected over the years which show that for the majority of golfers, their "personal best" scores were obtained with a positive in both of these cycles.
- 25 winners had an ascending negative (*) which represents 20.6% of the tournament winners.
- Perhaps of greatest significance was that only 11 tournament winners were in a descending negative phase during the majority of their four-day golf tournament. Out of a total of 121 tournament winners this represents only 9%. This negative descending phase is represented by the "-" symbol in the chart above.
As this data indicates, the emotional cycle which is negative and descending ]has a very unfavorable impact upon performance in golf. I've found this to be ]the case in every sport with which I've been involved or for which I've collected and analyzed data.
From the above information it appears that if you have a choice to play in a golf tournament you should play in one that occurs when you are positive in the emotional cycle and not in a descending negative phase.
The table below better illustrates the results of the 3-year study of the PGA tournament champions and the general effect of biorhythm upon golfers.
- Biorhythm Phase Emotional cycle
- No. of PGA Winners
- +
#
*
-
L - 49
30
25
11
6
Baseball's Perfect Game
The baseball data below were obtained from the Baseball Almanac. I then computed the biorhythm of each of the players for the date of their "Perfect Game". Read below for my startling discoveries. - Harve
"The sun don't shine on the same dog's ass all the time." - Perfect Game Club Member & Hall of Famer Catfish Hunter
(commenting on why he was not able to pitch another perfect game)
Words alone cannot describe pitching's top "club" and most desired goal - the masterpiece of any career, the pinnacle of the pitching aspect and one of the most difficult feats to achieve in the entire game of baseball is the perfect game.
What is a perfect game in baseball? Author Paul Dickson in The New Baseball Dictionary (1999) describes it best with, "A no-hitter in which no opposing player reaches first base, either by a base hit, base on balls, hit batter, or fielding error; i.e., the pitcher or pitchers retire all 27 opposing batters in order." Note: A bold faced entry denotes that the player was active during the previous Major League season.
There are a total of 17 players with a perfect game in this study. The following is an analysis of their biorhythms on the date of their perfect game.
The two most significant discoveries were that there were 3 times the number of pitchers with an emotional positive than emotional negatives on the date of their perfect game (12 vs 4). The other extremely significant finding was that there were 10 pitchers that had a double positive (two or more positives in their three biorhythmic cycles) and only one with double negatives (two or more negatives).
See the symbols in this chart as they relate to the table below:
Number of occurrences per symbol (Emotional cycle). Above the horizontal line are the + and # symbols and together they total 12. The negative symbols - and * which are below the line total only 4.
+ |
# |
- |
* |
3 |
9 |
4 |
0 |
POSITIVES
|
|
NEGATIVES |
|
Emotional +, # |
12 |
Emotional -, * |
4 |
Physical +, # |
5 |
Physical - , * |
7 |
Intellectual +, # |
7 |
Intellectual -, * |
6
|
DOUBLE POSITIVES: DOUBLE NEGATIVES |
Double +, # (positives) = 10 // Double - , * (minuses) = 1 |
SUMMARY:
The players with an emotional positive (+, #) represented 70.1% of the players. The players with an emotional negative (-, *) represented only 23.5% of the players. This study is consistent with my other studies involving football, golf and basketball where a player with an emotional positive has between 2 to 4 ˝ times the potential to perform well when compared with an emotional minus. Perhaps more significant is that 10 of the 17 pitchers had a double positive versus only 1 of 17 with a double negative. Can you see how FantasyBio will help you identify the hottest players - long before the date of the game? Sign up now! http://www.biosportspro.com
