Oklahoma State Cowboys vs Davidson Wildcats prediction 17.03.2026
-
17/03/26
20:00
|
first_round
-
- 84 : 80
- Finished
Match prediction
Upon comparing the statistical data of both basketball clubs, namely Oklahoma State Cowboys and Davidson Wildcats, we can confidently assert that the optimal bet for the upcoming match would favour Winner - Team 2.
17/03/2026
Bet::
Winner - Team 2
Match preview
The Oklahoma State Cowboys and Davidson Wildcats will face each other in a basketball match in the USA category as part of the National Invitation Tournament tournament on 17.03 at 20:00. So, if you're a sports betting enthusiast eagerly anticipating the outcome, this article accurately predicts the best bet tip in the match between the Oklahoma State Cowboys and Davidson Wildcats.
Who will win?
- Oklahoma State Cowboys
- Davidson Wildcats
Oklahoma State Cowboys review
After playing 10 matches for which stats are available, Oklahoma State Cowboys has won 3 times and suffered 7 losses. On average, for each of the 10 matches, the Oklahoma State Cowboys team scored 80.9 points and conceded 88.4, resulting in a total of 169.3 points scored and conceded. Altogether, over 10 matches, Oklahoma State Cowboys managed to score 809 points and concede 884.
Davidson Wildcats review
The basketball club Davidson Wildcats has participated in 10 games for which statistics are available, winning 7 times and losing 3 times. In these matches, the team scored 718 points and conceded 625. On average, in each of the 10 games played, Davidson Wildcats scored an average of 71.8 points and conceded 62.5 points. Summing up the points scored and conceded, we can observe that the average score per game for Davidson Wildcats is 134.3.
Other predictions
06/06
09:45
Orleans Loiret
Elan Bearnais Pau-Lacq-Orthez
Read
06/06
09:50
Neptunas
Panevezys Lietkabelis
Read
06/06
11:00
CS Maristes
Club Tadamon Hrajel
Read
06/06
11:00
JSF Nanterre
Monaco
Read
06/06
11:30
Leyma Coruna
Palencia Baloncesto
Read
06/06
12:00
Kapfenberg Bulls
Oberwart Gunners
Read
Trends
Load more