🏀 ChatGPT Predicts the 2024 College Basketball Tournament Brackets: Every Game, Every Score 🏀

Подписаться 1,7 тыс.

Просмотров 11 тыс.

50% 1

Disclaimer: The information and predictions shared here are for entertainment and educational purposes only and are not intended as betting advice or a guarantee of outcomes. Our discussions, including the use of team names or trademarks, are for descriptive purposes only, without any endorsement or affiliation. The hosts, producers, and affiliates of this podcast bear no liability for decisions made based on our content. We encourage responsible consumption of our material, acknowledging that any actions taken by our listeners are at their own risk and discretion. If gambling becomes a concern, seek help promptly.
Welcome to a groundbreaking exploration where artificial intelligence and college basketball intersect! In this compelling video, we leverage the sophisticated capabilities of ChatGPT to predict the outcomes of each game in the 2024 College Basketball Tournament. This isn't just about who wins or loses; it's about understanding the game on a whole new level, with predictions down to the final scores. Perfect for enthusiasts and analysts alike, this video offers a unique blend of entertainment, insight, and a glimpse into the future of sports predictions.
Want to try it yourself? Look at the attached college basketball bracket and predict the winner of each round, including the winner of the final game, be sure to include all regions and rounds in the analysis. Base this on past data about who usually wins each round based on record, seed, and recent performance. Then present a list by round of each game with a predicted score. Note that the first four games that are play in games to the round of 64, which are Howard vs. Wagner in the West, Montana St vs Grambling in the Midwest, Virgina vs. Colorado St in the Midwest, and Boise St vs Colorado in the South. Include some upsets based on what has happened in the past. In the final four, the East and the West and South play Midwest.
www.cbssports.com/college-bas...
Here are the predictions. Note: ChatGPT mixed up the region names South and Midwest, which is corrected below, underlying games were correct:
First Four Predictions:
Howard vs. Wagner: Howard (68) - Wagner (63)
Montana St vs. Grambling: Montana St (72) - Grambling (65)
Virginia vs. Colorado St: Virginia (70) - Colorado St (64)
Boise St vs. Colorado: Boise St (75) - Colorado (70)
Round of 64 Predictions:
East:
UConn (85) vs. Stetson (60)
FAU (78) vs. Northwestern (74)
San Diego St. (76) vs. UAB (70) Potential Upset
Auburn (82) vs. Yale (68)
BYU (79) vs. Duquesne (73)
Illinois (88) vs. Morehead St. (64)
Wash. St. (80) vs. Drake (77)
Iowa St. (84) vs. S. Dak. St. (70)
West:
N. Carolina (86) vs. Howard (64)
Miss. St. (75) vs. Michigan St. (72)
Saint Mary's (78) vs. Grand Canyon (73)
Alabama (85) vs. Charleston (68)
Clemson (77) vs. New Mexico (70)
Baylor (83) vs. Colgate (65)
Dayton (76) vs. Nevada (73)
Arizona (89) vs. LBSU (67)
South:
Houston (87) vs. Longwood (61)
Nebraska (72) vs. Texas A&M (70)
Wisconsin (76) vs. James Madison (69)
Duke (84) vs. Vermont (70)
Texas Tech (75) vs. NC State (72)
Kentucky (86) vs. Oakland (65)
Florida (74) vs. Boise St. (70)
Marquette (88) vs. W. Kentucky (68)
Midwest:
Purdue (90) vs. Montana St. (62)
Utah St. (78) vs. TCU (75)
Gonzaga (85) vs. McNeese (64)
Kansas (83) vs. Samford (69)
S. Carolina (77) vs. Oregon (74)
Creighton (81) vs. Akron (67)
Texas (79) vs. Virginia (73)
Tennessee (87) vs. St. Peter's (65)
Round of 32 Predictions:
East:
UConn (80) vs. FAU (74)
San Diego St. (75) vs. Auburn (79)
BYU (77) vs. Illinois (82)
Wash. St. (75) vs. Iowa St. (80)
West:
N. Carolina (82) vs. Miss. St. (76)
Saint Mary's (74) vs. Alabama (82)
Clemson (72) vs. Baylor (78)
Dayton (73) vs. Arizona (85)
South:
Houston (82) vs. Nebraska (70)
Wisconsin (72) vs. Duke (78)
Texas Tech (71) vs. Kentucky (77)
Florida (73) vs. Marquette (80)
Midwest:
Purdue (85) vs. Utah St. (73)
Gonzaga (80) vs. Kansas (82) Potential Upset
S. Carolina (70) vs. Creighton (76)
Texas (75) vs. Tennessee (82)
Sweet 16 Predictions:
East:
UConn (82) vs. Auburn (78)
Illinois (80) vs. Iowa St. (76)
West:
N. Carolina (80) vs. Alabama (83)
Baylor (75) vs. Arizona (81)
South:
Houston (84) vs. Duke (80)
Kentucky (79) vs. Marquette (75)
Midwest:
Purdue (88) vs. Kansas (82)
Creighton (74) vs. Tennessee (80)
Elite 8 Predictions:
East:
UConn (81) vs. Illinois (78)
West:
Alabama (79) vs. Arizona (83)
South:
Houston (82) vs. Kentucky (78)
Midwest:
Purdue (85) vs. Tennessee (81)
Final Four Predictions:
East vs. West:
UConn (78) vs. Arizona (82)
Midwest vs. South:
Purdue (83) vs. Houston (80)
National Championship:
Arizona vs. Purdue:
Arizona (86) vs. Purdue (82)
#ncaa #CollegeBasketball2024 #AISportsAnalysis #BasketballPredictions #Bracketology #ChatGPTPredicts #BasketballTournament #AIAnalytics #CollegeHoops #FutureOfSports #GameByGame #ScorePredictions #AIInsights #DeepLearning #BracketPicks #BasketballAnalysis #TechInSports #ai #copilot

Наука

Опубликовано:

16 мар 2024

Ссылка:

Скачать:

Готовим ссылку...

Добавить в:

Мой плейлист

Посмотреть позже

Комментарии : 23

@UNMUTED_Santi 2 месяца назад

So I ran the bracket through Microsoft Copilot Pro and it predicted a championship game between UConn and Purdue with UConn winning 85-80.

@UNMUTED_Santi 2 месяца назад

this was fun to make!

@logotzip3967 2 месяца назад

Lol not many upsets picked at all

@UNMUTED_Santi 2 месяца назад

I know! LOL

@Teaman596 2 месяца назад

You can't go by past performance in previous years very much. Different players.

@gears7467 2 месяца назад

Correct that is very stupid.

@harris5140 2 месяца назад

Purdue already played and beat Arizona. My question is: Does AI takes into account tournament experience?

@georgeschoenstein 2 месяца назад

Here is what GTP said: In the provided predictions, while I factored in historical seed performance, recent team performance, and potential for upsets based on historical trends, I didn't explicitly mention considering tournament experience. Tournament experience, such as past performances in the NCAA tournament, the team's history of advancing in March Madness, and the coaching staff's experience in navigating high-pressure tournament games, can significantly impact a team's chances of success. I then asked it to consider it and got this... Taking tournament experience into account significantly for predicting the National Championship game requires a focus on teams with a history of deep runs in the NCAA tournament, experienced coaching staffs, and players who have performed under the high-pressure conditions of March Madness before. Teams with such backgrounds tend to handle the pressure better, make fewer mistakes in crucial moments, and exploit their experience against less experienced opponents. Considering Tournament Experience for the Championship Prediction: Adjusted Championship Prediction: Given the emphasis on tournament experience, let's consider a scenario where Duke and North Carolina-two of the most storied programs in college basketball history, with deep tournament runs and experienced coaching staffs-make it to the final game. Both teams have players who have been part of the tournament before and understand the pressure of such a high-stakes game. Duke vs. North Carolina: This is a classic rivalry with both teams having extensive tournament experience. Assuming both teams have navigated their brackets successfully, this game would not only draw on their season's performances but heavily on their historical success and experience in handling the pressure of big games. Prediction: In a game that would likely be closely contested, with both teams leveraging their depth of experience and talent, North Carolina could be slightly favored due to their recent success in the tournament, including a championship win in 2017 and a runner-up finish in 2022. Let's predict a tight game: North Carolina: 78 Duke: 75 This prediction assumes that both teams' experience in dealing with the pressure of the tournament shines through, with North Carolina's slightly more recent success in the tournament giving them the edge in this hypothetical matchup. It's important to note, though, that actual game outcomes can be influenced by numerous unpredictable factors, including individual player performances, injuries, and the inherent variability of sports competitions.

@1UofACat12 2 месяца назад

sure did, Purdue played a home game & won, then this time AZ played a "home game" (in Phoenix) & won. Seems reasonable to me.

@user-bm5lw4mp1s 2 месяца назад

Very cool! I want to try this now.

@jasonplunkett3211 2 месяца назад

I hope it's right. Go Az....

@gears7467 2 месяца назад

It will be more accurate if you omit past games and just focus on current stats.

@terencewinters2154 2 месяца назад

Grok is different . Each game is a statistical anomaly given participants are mostly different as are time and place . It's data set is unknown perhaps if parameters were limited to kenpom or Oliver 4 factors results documented would vary or USE OUIJA BOARD . Chances of perfect bracket is 1 in 9.2 quintillion. Even that's a stretch for AI s Swamis

@UNMUTED_Santi 2 месяца назад

I would love to see what Grok comes up with.

@terencewinters2154 2 месяца назад

@@UNMUTED_Santi UK 2 3s 2 1s in ff. Nigls 49 straight record I think is safe for awhile. Formulaicly probably better to have a recency data bias rather than use historical weighting . For that I think Kerry's Ken pom is on the mark with limits and bounds . Adjem adjO adjD . Winning also being an atomic habit means SOS may not be as valuable to a mcneese sporting just 3 losses a vet coach and a lights out 3 point % . They don't know they're NET bad. Replicants. Others " Tilt " the matrix with renewed health or continued bad health KANSAS .

@terencewinters2154 2 месяца назад

@@UNMUTED_Santi the Kerry Ken pom formula also interesting but neither printout actual scores. But I noticed in your chat gpt few scores are blowouts most fallen in a narrow 6 point range if I correctly assessed . Where I find Kerry's data from Ken pom a little squishy is the 113 adjO . I know like uva and San diego pushed that # down . But being adj D crews they're more aberrations. Frankly I think 118 or 120 as you go deeper in tourney is better and AdjD might also have slippage slightly 96 ?

@terencewinters2154 2 месяца назад

@@UNMUTED_Santi UK by Grok WHY? WITH ALL THEIR YOUTHFUL INDISCRETIONS ? WITHOUT KNOWING GROKS MODEL I MIGHT SURMISE MUSKS TEAM IS USING OLIVERS 4 FACTORS AND OR KEN POM ? WHY ? 41 % 3 POINT SHOOTING WOULD PUT UK ATOP OLIVERS WEIGHTED VALUE OF 4 FACTORS . AND 122 ADJO is ranked about 5th nationally. Plus their path to FF is less difficult . But you know trying to figure out how ENIGMA worked was flowers/ Turing guess work. Maybe LLM NOT SO MUCH .

@terencewinters2154 2 месяца назад

@@UNMUTED_Santi if your unfamiliar with olivers 4 factors go to basketball reference nba finals any there you will find out how 4 factors dominance led to victories. It's sort of a reverse indicator there but surely if a teams performs better at 3 of 4 they'll win.