FTIMU College Basketball Predictions Nov 25 to 29

[FTIMU]

Firstly, Happy Thanksgiving to all my American friends.

Secondly, this list will grow, however, with 24 hours to many games start, they still haven't posted so many odds. We have the predicted outcome, but must have their odds to predict if we are for it or against it.

Finally, be safe.

Day	Visitor	Score	Home	Score	FTIMU Winner	Spread	Predicted FTIMU Winner vs. Spread
201125	Old Dominion		Maryland		Maryland	-7.5	Maryland (-14 to -22)
	Charleston So.		NC State		NC State	-17	NC State (-21 to -29)
	Hofstra		Monmouth		Hofstra	-1.5	Hofstra (-7 to -13)
	Oakland		Xavier		Xavier	-21	Oakland (+9 to +19)
	ETSU		Abilene Christian		ETSU	+1.5	ETSU (-4 to -6)
	Tennessee Tech		Indiana		Indiana	-21	Indiana (-22 to -30)
	Colorado		South Dakota		Colorado	-12	Colorado (-13 to -21)
	St Peter's		St John's		St John's	-9.5	St John's (-11 to -17)
	Green Bay		Minnesota		Minnesota	-18	Minnesota (-18 to -26)
	Morehead State		Kentucky		Kentucky	-23	Kentucky (-20 to -30)
	Western Carolina		UNC-Wilmington		Western Carolina	-4	Western Carolina (-4 to -9)
	Jax. State		Alabama		Alabama	-20	Alabama (-18 to -26)
	Fairfield		Providence		Providence	-20	Fairfield (+8 to +18)
	Charleston		North Carolina		North Carolina	-17.5	Charleston (+8 to +13)
	Detroit		Richmond		Richmond	-18.5	Richmond (-18 to -25)
	Eastern Illinois		Wisconsin		Wisconsin	-20	Wisconsin (-19 to -26)
	North Dakota		Miami Ohio		Miami Ohio	-6	North Dakota (+3)
	Drake		Kansas State		Kansas State	-7.5	Kansas State (-5 to -10)
	Drexel		Penn State		Penn State	-14	Penn State (-14 to -20)
	UCLA		San Diego St		UCLA	-2.5	UCLA (-1 to -6)
	Clemson		Miss. State		Miss. State	-3.5	Miss. State (Even to -6)
	Eastern Michigan		Michigan State		Michigan State	-20	Michigan State (-18 to -26)
	Southern Utah		Loyola Marymount		Loyola Marymount	-4.5	Southern Utah (Even to +4)
	Florida Atlantic		South Alabama		South Alabama	-4.5	South Alabama (-3 to -7)
	Oklahoma State		Texas-Arlington		Oklahoma State	-6.5	Oklahoma State (-5 to -11)
	Oral Roberts		Missouri		Missouri	-12	Oral Roberts (+6 to +12)
	Toledo		Bradley		Bradley	-3.5	Bradley (-3 to -7)
	UC Irvine		Pepperdine		Pepperdine	-2	Pepperdine (Even to -4)
	UC Riverside		Pacific		Pacific	-7	Pacific (-4 to -10)
	SIU-Edwardsville		Saint Louis		Saint Louis	-24.5	Saint Louis (-20 to -28)
	Montana State		UNLV		UNLV	-11.5	UNLV (-9 to -13)
	Liberty		Purdue		Purdue	-11	Liberty (+5 to +11)
	UTRGV		Texas		Texas	-20	UTRGV (+12 to +19)
	Western Michigan		Butler		Butler	-19	Butler (-15 to -23)
	UT-San Antonio		Oklahoma		Oklahoma	-15	UT-San Antonio (+9 to +15)
	Villanova		Boston College		Villanova	-15.5	Villanova (-12 to -19)
	Austin Peay		Nebraska Omaha		Austin Peay	-6.5	Nebraska Omaha (+2 to +8)
	Illinois Chicago		N. Illinois		N. Illinois	-2	N. Illinois (Even to -4)
	Georgia State		Georgia Tech		Georgia Tech	-6	Georgia Tech (-3 to -9)
	Ball State		N. Kentucky		Ball State	Pick	Ball State (Even to -4)
	Idaho		Seattle		Seattle	-6	Seattle (-4 to -10)
How to Read List Here Predicted vs. Spread (-) = Team should win by that amount, so should likely cover the spread Predicted vs. Spread (+) = Team should lose by that amount, so should likely cover the spread Red Text - Game got Canceled Games are Listed From Most Confident at the Top to Tougher Covers at the Bottom FTIMU - Bet with Confidence

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[exploited17]

Chart is messed gonna have to repost it

 

[nobaddameisaid]

How does it typically do early in the season with no current data?

 

[FTIMU]

I cut and paste this from another person who asked...

Well we start each season with what we know which was last years ending statistics for each team. Obviously teams take wild swings at College sports from one year to another and we might expect a team like Kansas State or Temple to dip, but others like Texas to improve. We won't know until the games are played, but we can adjust ending teams strengths from last season for things we know and the things we find out will be adjusted on the fly. We do better as the season goes, but nothing is a coin flip out of the gate because of the Ripple Effect.

More About the Ripple Effect?

We believe this is the true power of the FTIMU and why it picks winners at the rate it does. What we call the Ripple Effect. Imagine each game played as two colored rocks. We toss those rocks into the water and one will make a bigger splash (by winning the game's stats) and the other causes a smaller ripple. Now we enter all those stats from the game into the FTIMU (computer program) and it goes to work. Giving each team a power ranking number that it will later turn back into a projected score for predicting outcomes.


Example: Lets say "your College Basketball team" loses to Gonzaga by 30 points (we will just use points as an easy example). No shame in that. The FTIMU now uses the Ripple Effect to connect as many teams to this one games result (and for every game) updating teams connected in any way to the ripple.


So now every team "your team" played and beat, we can assume would have also lost to Gonzaga even though those teams didn't play Gonzaga. Because of the Ripple Effect we are going to score them as if they did. Also every team "your team" beat, and any team those teams beat we can assume they would have lost to Gonzaga, and obviously even worse as the ripple grows bigger.


So now every team "your team" lost to, we can assume they would have played Gonzaga better than the 30 points "your team" lost to them by. Maybe they would have even beaten Gonzaga. The ripple just keeps going until every connection is made.


This is powerful. For a sport like College Basketball that has over 350 teams and only plays 30 games schedules, the average team plays one-tenth of all the other teams. However, with the power of the Ripple Effect, all teams soon become connected. Imagine giving every team a ranking almost every game. That is how we built the FTIMU. Every game it learns even more. Every season it improved, picking more winners than the previous year.

 

[Betallsports]

There are no Links allowed

The chart is fine using Chrome

 

[exploited17]

I have chrome....half the finals are cut off

 

[FTIMU]

Let me know if this is better....if not I will go with the last three columns

Day	Visitor	Score	Home	Score	FTIMU Winner	Spread	Predicted FTIMU Winner vs. Spread
201125	Old Dominion		Maryland		Maryland	-7.5	Maryland (-14 to -22)
	Charleston So.		NC State		NC State	-17	NC State (-21 to -29)
	Hofstra		Monmouth		Hofstra	-1.5	Hofstra (-7 to -13)
	Oakland		Xavier		Xavier	-21	Oakland (+9 to +19)
	ETSU		Abilene Christian		ETSU	+1.5	ETSU (-4 to -6)
	Tennessee Tech		Indiana		Indiana	-21	Indiana (-22 to -30)
	Colorado		South Dakota		Colorado	-12	Colorado (-13 to -21)
	St Peter's		St John's		St John's	-9.5	St John's (-11 to -17)
	Green Bay		Minnesota		Minnesota	-18	Minnesota (-18 to -26)
	Morehead State		Kentucky		Kentucky	-23	Kentucky (-20 to -30)
	Western Carolina		UNC-Wilmington		Western Carolina	-4	Western Carolina (-4 to -9)
	Jax. State		Alabama		Alabama	-20	Alabama (-18 to -26)
	Fairfield		Providence		Providence	-20	Fairfield (+8 to +18)
	Charleston		North Carolina		North Carolina	-17.5	Charleston (+8 to +13)
	Detroit		Richmond		Richmond	-18.5	Richmond (-18 to -25)
	Eastern Illinois		Wisconsin		Wisconsin	-20	Wisconsin (-19 to -26)
	North Dakota		Miami Ohio		Miami Ohio	-6	North Dakota (+3)
	Drake		Kansas State		Kansas State	-7.5	Kansas State (-5 to -10)
	Drexel		Penn State		Penn State	-14	Penn State (-14 to -20)
	UCLA		San Diego St		UCLA	-2.5	UCLA (-1 to -6)
	Clemson		Miss. State		Miss. State	-3.5	Miss. State (Even to -6)
	Eastern Michigan		Michigan State		Michigan State	-20	Michigan State (-18 to -26)
	Southern Utah		Loyola Marymount		Loyola Marymount	-4.5	Southern Utah (Even to +4)
	Florida Atlantic		South Alabama		South Alabama	-4.5	South Alabama (-3 to -7)
	Oklahoma State		Texas-Arlington		Oklahoma State	-6.5	Oklahoma State (-5 to -11)
	Oral Roberts		Missouri		Missouri	-12	Oral Roberts (+6 to +12)
	Toledo		Bradley		Bradley	-3.5	Bradley (-3 to -7)
	UC Irvine		Pepperdine		Pepperdine	-2	Perperdine (Even to -4)
	UC Riverside		Pacific		Pacific	-7	Pacific (-4 to -10)
	SIU-Edwardsville		Saint Louis		Saint Louis	-24.5	Saint Louis (-20 to -28)
	Montana State		UNLV		UNLV	-11.5	UNLV (-9 to -13)
	Liberty		Purdue		Purdue	-11	Liberty (+5 to +11)
	UTRGV		Texas		Texas	-20	UTRGV (+12 to +19)
	Western Michigan		Butler		Butler	-19	Butler (-15 to -23)
	UT-San Antonio		Oklahoma		Oklahoma	-15	UT-San Antonio (+9 to +15)
	Villanova		Boston College		Villanova	-15.5	Villanova (-12 to -19)
	Austin Peay		Nebraska Omaha		Austin Peay	-6.5	Nebraska Omaha (+2 to +8)
	Illinois Chicago		N. Illinois		N. Illinois	-2	N. Illinois (Even to -4)
	Georgia State		Georgia Tech		Georgia Tech	-6	Georgia Tech (-3 to -9)
	Ball State		N. Kentucky		Ball State	Pick	Ball State (Even to -4)
	Idaho		Seattle		Seattle	-6	Seattle (-4 to -10)
How to Read List Here Predicted vs. Spread (-) = Team should win by that amount, so should likely cover the spread Predicted vs. Spread (+) = Team should lose by that amount, so should likely cover the spread Red Text - Game got Canceled Games are Listed From Most Confident at the Top to Tougher Covers at the Bottom FTIMU - Bet with Confidence

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[AxelFreed]

So these results are based on how the team was playing at the end of last season? Or am I missing something? Thanks just asking for clarification.

 

[Lotterymoney]

Can't see the right side lines

 

[Birdieman2]

What are your % wins in past seasons?

 

[FTIMU]

So these results are based on how the team was playing at the end of last season? Or am I missing something? Thanks just asking for clarification.

For the most part. Just as the betting spread is mostly based on things such as that, as they have nothing to go on either. We have did our best to make subtle adjustments from what we have read about many teams, but outside of that we don't have anything else to go on. The program will quickly define and isolate anomalies and adjust accordingly.

 

[FTIMU]

What are your % wins in past seasons?

Last season at College Basketball the program finished 2687-1056 (72%) against its spread in the 3753 games it picked. Out of the gate, based on the same kind logic we used to start this season, it used the previous seasons ending stats and through the first 14 days of the season was 401 -175 (70%) in the first 576 games. One day had 99 games where as tomorrow alone there are 81 games so we can start adjustments quicker. However we may not have 81 games listed if we don't have spreads for them come morning. I have never had trouble getting spreads for games so I am not sure if it is a Covid thing. I can't see any other reason. Hopefully by week two they have them posted in advance a few days so we can post quicker.

 

[exploited17]

Can't see the right side lines

Probably have your browser set past 100% zoom
That was the problem I had

 

[FTIMU]

Hope this helps you

FTIMU Winner	Spread	Predicted FTIMU Winner vs. Spread
Maryland	-7.5	Maryland (-14 to -22)
NC State	-17	NC State (-21 to -29)
Hofstra	-1.5	Hofstra (-7 to -13)
West Virginia	-9	West Virginia (-13 to -20)
Northern Iowa	+3	Northern Iowa (-3 to -7)
Xavier	-21	Oakland (+9 to +19)
ETSU	+1.5	ETSU (-4 to -6)
Indiana	-21	Indiana (-22 to -30)
Colorado	-12	Colorado (-13 to -21)
St John's	-9.5	St John's (-11 to -17)
Minnesota	-18	Minnesota (-18 to -26)
Saint Mary's	+7	Saint Mary's (Even to -2))
Michigan	-14	Michigan (-15 to -22)
USC	-19	Cal Baptist (+7 to +13)
Kentucky	-23	Kentucky (-20 to -30)
Western Carolina	-4	Western Carolina (-4 to -9)
Alabama	-20	Alabama (-18 to -26)
Providence	-20	Fairfield (+8 to +18)
North Carolina	-17.5	Charleston (+8 to +13)
Richmond	-18.5	Richmond (-18 to -25)
Wisconsin	-20	Wisconsin (-19 to -26)
Miami Ohio	-6	North Dakota (+3)
Kansas State	-7.5	Kansas State (-5 to -10)
Penn State	-14	Penn State (-14 to -20)
UCLA	-2.5	UCLA (-1 to -6)
Miss. State	-3.5	Miss. State (Even to -6)
Michigan State	-20	Michigan State (-18 to -26)
Loyola Marymount	-4.5	Southern Utah (Even to +4)
South Alabama	-4.5	South Alabama (-3 to -7)
Oklahoma State	-6.5	Oklahoma State (-5 to -11)
Missouri	-12	Oral Roberts (+6 to +12)
San Francisco	-8.5	San Francisco (-6 to -11)
Bradley	-3.5	Bradley (-3 to -7)
Pepperdine	-2	Pepperdine (Even to -4)
Pacific	-7	Pacific (-4 to -10)
Saint Louis	-24.5	Saint Louis (-20 to -28)
UNLV	-11.5	UNLV (-9 to -13)
Stanford	-19	Stanford (-16 to -23)
Purdue	-11	Liberty (+5 to +11)
Texas	-20	UTRGV (+12 to +19)
Butler	-19	Butler (-15 to -23)
Louisville	-22	Louisville (-19 to -25)
Oklahoma	-15	UT-San Antonio (+9 to +15)
Villanova	-15.5	Villanova (-12 to -19)
Austin Peay	-6.5	Nebraska Omaha (+2 to +8)
Santa Clara	-12	Santa Clara (-10 to -16)
N. Illinois	-2	N. Illinois (Even to -4)
Georgia Tech	-6	Georgia Tech (-3 to -9)
Ball State	Pick	Ball State (Even to -4)
Seattle	-6	Seattle (-4 to -10)

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[daneault23]

Last season at College Basketball the program finished 2687-1056 (72%) against its spread in the 3753 games it picked. Out of the gate, based on the same kind logic we used to start this season, it used the previous seasons ending stats and through the first 14 days of the season was 401 -175 (70%) in the first 576 games. One day had 99 games where as tomorrow alone there are 81 games so we can start adjustments quicker. However we may not have 81 games listed if we don't have spreads for them come morning. I have never had trouble getting spreads for games so I am not sure if it is a Covid thing. I can't see any other reason. Hopefully by week two they have them posted in advance a few days so we can post quicker.

Maybe I am mis-reading the numbers above. The 72% rate you quoted, with the 2687 wins out of 3753 games, that is ATS and not SU? Or did you mean to type SU.

 

[FTIMU]

Maybe I am mis-reading the numbers above. The 72% rate you quoted, with the 2687 wins out of 3753 games, that is ATS and not SU? Or did you mean to type SU.

I don't mean to mislead anyone. We have kept our own statistics ATS. The only way we can improve and make a "most powerful program" was to NOT use other peoples influences on who should win a game and what the real spread of that game should be. This might not make sense to you or anyone, but that is ok to us. It makes sense to people building a computer program and seeing how it does against the results of every single game all season. Now that we are live, as a website and posting the games on here before the events take place, for transparency, we will now show our results against an external spread, versus our internal spread.

What our internal spread does, that 72% last year, is determine by how many points a team should beat another team.

So the FTIMU takes Delaware State @ Wake Forest and says Wake Forrest should win by Minimum -24 and as many as -31 (our internal spread). Last season proving to us we were doing the right computer programming we were right 72% of the time.

Very simple.

Now real life example.

Tomorrow Delaware State @ Wake Forest External Spread is now -18.5. Now this season we have Wake Forest winning by -24 to -31. So we will track this live all season on our site with the statistics and either they cover or they don't, black and white.

Those examples are somewhat clear. Here is one isn't as clear.

Tomorrow. Sacred Heart @ Rutgers with an internal spread saying Rutgers wins minimum -22 to as many as -30 points. So if they win by that many, we know we have the proper power rankings for Sacred Heart and Rutgers. No red flags on either team (and we red flag things all the time).

However, the external spread has Rutgers -25. So if they win by -22, -23, 24 the internal spread still did its job, but is now wrong against the external spread, as Sacred Heart covered. We also did our job informing people using the FTIMU that our internal spread has Rutgers by -22 to -30 and an external spread of -25. You do what you want with that, but as programmers we don't care if they come up short, we care we accurately showed you where the results should about be and if you took the under or over on it as a bettor, we hope you win. If Sacred Heart wins by 18 points, there will be more than a red flag.

Because so many games are so close and go either way against the spread, we like to make our lists as most confident games at the top and least confident at the bottom. The FTIMU is confident in all the games, but as a bettor we'd not be in most games that are close to the spread. Connecticut, -26.5, of course we know they are going to win the game, that isn't in doubt, but the internal spread has them between -24 to -30. If they get in that range, we did our job and we have the right power ranking of both CCSU and Connecticut.

Now that we are officially selling the results, we will be tracking ATS numbers all year on our site (as well as here). Each and every game gets a decision, even if it is games we'd rather not take a loss on such as Sacred Heart and Rutgers. However, we will be tracking our top games as well and will prove the numbers when you "Bet with Confidence" on the best games against a spread someone offers.

 

[COVER.ALL.SPORTS]

best of luck today, thanks for sharing the prediction; Happy Thanksgiving

 

[Rayzor]

Hope this helps you

FTIMU Winner	Spread	Predicted FTIMU Winner vs. Spread
Maryland	-7.5	Maryland (-14 to -22)
NC State	-17	NC State (-21 to -29)
Hofstra	-1.5	Hofstra (-7 to -13)
West Virginia	-9	West Virginia (-13 to -20)
Northern Iowa	+3	Northern Iowa (-3 to -7)
Xavier	-21	Oakland (+9 to +19)
ETSU	+1.5	ETSU (-4 to -6)
Indiana	-21	Indiana (-22 to -30)
Colorado	-12	Colorado (-13 to -21)
St John's	-9.5	St John's (-11 to -17)
Minnesota	-18	Minnesota (-18 to -26)
Saint Mary's	+7	Saint Mary's (Even to -2))
Michigan	-14	Michigan (-15 to -22)
USC	-19	Cal Baptist (+7 to +13)
Kentucky	-23	Kentucky (-20 to -30)
Western Carolina	-4	Western Carolina (-4 to -9)
Alabama	-20	Alabama (-18 to -26)
Providence	-20	Fairfield (+8 to +18)
North Carolina	-17.5	Charleston (+8 to +13)
Richmond	-18.5	Richmond (-18 to -25)
Wisconsin	-20	Wisconsin (-19 to -26)
Miami Ohio	-6	North Dakota (+3)
Kansas State	-7.5	Kansas State (-5 to -10)
Penn State	-14	Penn State (-14 to -20)
UCLA	-2.5	UCLA (-1 to -6)
Miss. State	-3.5	Miss. State (Even to -6)
Michigan State	-20	Michigan State (-18 to -26)
Loyola Marymount	-4.5	Southern Utah (Even to +4)
South Alabama	-4.5	South Alabama (-3 to -7)
Oklahoma State	-6.5	Oklahoma State (-5 to -11)
Missouri	-12	Oral Roberts (+6 to +12)
San Francisco	-8.5	San Francisco (-6 to -11)
Bradley	-3.5	Bradley (-3 to -7)
Pepperdine	-2	Pepperdine (Even to -4)
Pacific	-7	Pacific (-4 to -10)
Saint Louis	-24.5	Saint Louis (-20 to -28)
UNLV	-11.5	UNLV (-9 to -13)
Stanford	-19	Stanford (-16 to -23)
Purdue	-11	Liberty (+5 to +11)
Texas	-20	UTRGV (+12 to +19)
Butler	-19	Butler (-15 to -23)
Louisville	-22	Louisville (-19 to -25)
Oklahoma	-15	UT-San Antonio (+9 to +15)
Villanova	-15.5	Villanova (-12 to -19)
Austin Peay	-6.5	Nebraska Omaha (+2 to +8)
Santa Clara	-12	Santa Clara (-10 to -16)
N. Illinois	-2	N. Illinois (Even to -4)
Georgia Tech	-6	Georgia Tech (-3 to -9)
Ball State	Pick	Ball State (Even to -4)
Seattle	-6	Seattle (-4 to -10)

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does line changes affect the games I seen ETSU +7.5 I follow system weekly last 2 weeks only one game from hitting multiple parlays lol

 

[Rayzor]

ETSU is +7.5 does that change how you feel about outcome?

 

[exploited17]

ETSU is +7.5 does that change how you feel about outcome?

He has them winning so why would it?
The outcome is listed use the chart to figure out if a line move matters