
Vikings
02/27/25 @ Jordan | 13-0 |
02/26/25 @ Columbus | 9-7 |
02/20/25 vs Lakeside School | 0-2 |
02/19/25 @ Heritage | 10-5 |
02/17/25 vs Shaw | 15-5 |
For whatever reason, it's the away team that's had the advantage when St. Anne-Pacelli and Jordan meet (three straight games heading into this one) and that held true again on Thursday. The St. Anne-Pacelli Vikings never let the Jordan Red Jackets get on the board and left with a 13-0 win. With that victory, the Vikings brought their scoring average up to 6.4 runs per game.
St. Anne-Pacelli got a great performance from Austin Danison as he didn't allow a single earned run and allowed only a hit while striking out 11 over five innings pitched. The dominant performance gave Danison a new career-low in hits.
On the hitting side, Jaycob Veloz was incredible, scoring three runs and stealing two bases while going 2-for-3. That's the most stolen bases he has posted since back in April of 2024. The team also got some help courtesy of Braden Hudson, who went 1-for-3 with two runs, one triple, and one stolen base.
St. Anne-Pacelli always had someone on base and finished the game having posted an OBP of .529. That's the best OBP they've posted all season.
St. Anne-Pacelli's win was their fifth straight on the road dating back to last season, which pushed their record up to 4-1. Those victories came thanks in part to their hitting performance across that stretch, as they averaged 9.8 runs over those games. As for Jordan, their loss ended an eight-game streak of wins at home dating back to last season and dropped them to 5-2.
Both squads will have to hit the road in their upcoming games. St. Anne-Pacelli will square off against First Presbyterian Day at 6:30 p.m. on Friday. First Presbyterian Day will roll in looking for their fifth straight victory, something St. Anne-Pacelli surely won't give up without a fight. As for Jordan, they will challenge Kendrick at 5:30 p.m. on Friday. Jordan is strutting in with some hitting muscle as they've averaged 8 runs per game this season.
Article generated by infoSentience based on data entered on MaxPreps