Free AI NCAA Basketball Prediction: Georgetown at St. John’s Odds
If you’re searching for Georgetown Hoyas at St. John’s Red Storm AI computer NCAA basketball free predictions look no further! This game takes place on Tuesday, March 3rd at Madison Square Garden, in New York, NY. At this time, our AI NCAA basketball computer prediction model has the gambling analysis, basketball betting trends, and outcome locked in. In fact, when you’re ready, just scroll down to get the free AI NCAA basketball pick.
NCAA Basketball Handicapping – Georgetown Hoyas at St. John’s Red Storm AI NCAA Basketball Prediction
- (13-16) Georgetown Hoyas at St. John’s Red Storm (23-6)
- Date: Tuesday, March 3rd
- Time: 7:00 PM ET
- Venue: Madison Square Garden in New York, NY
- NCAAB Moneyline Odds: Georgetown +900 | St. John’s -1850 (Bet Now!)
- NCAAB ATS Odds: Georgetown +15.5 | St. John’s -15.5
- NCAAB Betting Total: O/U: 148.5
As can be seen, artificial intelligence (AI) is used by CappersPicks.com to sort through vast quantities of data and identify the best outcomes for free computer picks on NCAA basketball betting each day. For one thing, we save you tons of time and energy researching your selections by giving you our daily AI best bets. In fact, scroll down for today’s Georgetown Hoyas at St. John’s Red Storm AI NCAA basketball prediction.
Offensive NCAA Basketball Stats
| Stat | Georgetown | St. John’s |
|---|---|---|
| PPG | 74.6 (253rd) | 82.6 (59th) |
| YPG | 66.1 (256th) | 69.9 (91st) |
| RUSH YPG | 37.2 (152nd) | 41.2 (41st) |
| PASS YPG | 21.1 (324th) | 20.7 (347th) |
NCAA Basketball Stats
| Stat | Georgetown | St. John’s |
|---|---|---|
| PPG | 74.6 (253rd) | 82.6 (59th) |
| FG % | 43.7 (288th) | 45.3 (190th) |
| 3 PT Attempts | 21.1 (324th) | 20.7 (347th) |
Georgetown vs. St. John’s AI Last Five Head To Head Trends
- St. John’s has won the last 3 games against Georgetown this season.
- Georgetown has not covered the spread in the last 5 games against St. John’s.
- The total has gone over in 4 of the last 6 games between Georgetown and St. John’s.
- St. John’s has covered the spread in 6 of the last 7 games against Georgetown.
Georgetown Hoyas vs. St. John’s Red Storm NCAA Basketball Betting Trends
Before locking in your pick for the Georgetown Hoyas vs. St. John’s Red Storm matchup, take a look at some key betting trends. Indeed, both teams have shown strong patterns in specific spots — and these stats could help uncover where the value lies on today’s NCAA basketball betting card.
- The Hoyas are 6-4 against the spread in their last 10 games.
- Georgetown has a 50% ATS record as an underdog this season.
- St. John’s is 22-3 straight up when playing as the favorite.
- Also, the Red Storm have won 9 of their last 10 games straight up.
- Georgetown games have hit the over 55.2% of the time this season.
- Additionally, the Red Storm have gone under in their last 5 games.
Georgetown Injury Report
| Player | Status | Injury |
|---|---|---|
| KJ Lewis (G) | Out | Ankle |
| DeShawn Harris-Smith (G) | Questionable | Personal |
| Gabriel Landeira (G) | Questionable |
St. John’s Injury Report
| Player | Status | Injury |
|---|---|---|
| Kelvin Odih (G) | Questionable | Leg |
| Casper Pohto (G) | Out | Hip |
| Imran Suljanovic (F) | Out | Knee |
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Today’s Free Georgetown at St. John’s NCAA Basketball Free AI Pick
NCAA Basketball Free Score Prediction: Hoyas 68 – Red Storm 84 (Bet Now!) Our AI likes Red Storm to win by 16.
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Given St. John’s strong home record and Georgetown’s recent struggles, St. John’s is likely to cover the spread. Additionally, St. John’s high scoring average should help them secure a comfortable win.
Not sure what amount to bet on this Georgetown at St. John’s AI NCAA Basketball prediction? Just like our experts we give star ratings on our plays. So far, these AI NCAA basketball computer picks are rated 4*.
- 1% of your bankroll for 4* or less.
- 2% for 5* and 6*.
- Also, 4% for 7* or higher.
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Odds Comparison: Georgetown Hoyas at St. John’s Red Storm
Below are the updated Georgetown vs. St. John’s NCAA basketball odds used by our AI prediction model.
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