Two dominant backs in William Hamlett and Jameson Moya are getting ready to go toe-to-toe. The Hamilton Bobcats will square off against the Nordhoff Rangers at 7:00 p.m. on Friday. Hamilton is strutting in with some offensive muscle as they've averaged 29.7 points per game this season.
Last Friday, Hamilton was within striking distance but couldn't close the gap as they fell 21-16 to Vasquez. While the Bobcats had to settle for second, they closed the game well in the third quarter, where they outscored the Mustangs 9-0.
Despite the loss, Hamilton got top-tier performance from Hamlett, who rushed for 180 yards and two touchdowns.
Meanwhile, winning is always nice, but doing so behind a season-high score is even better (just ask Nordhoff). They blew past Channel Islands 41-7 on Friday. The result was nothing new for the Rangers, who have now won four contests by 33 points or more so far this season.
Nordhoff's success was spearheaded by the efforts of Moya, who gained 207 total yards and two touchdowns, and Michael Dennie, who threw for 276 yards and two touchdowns while picking up 11.5 yards per attempt. Moya also punched in two rushing touchdowns, which is notable because Nordhoff is 6-1 when he posts at least two rushing touchdowns, but 1-2 otherwise. A healthy portion of Dennie's aerial production (90 yards to be exact) went to Jeremy Kirchner.
Nordhoff didn't go easy on the quarterback and picked off two passes before the game was over. The picks came courtesy of Kirchner and Uriel Covarrubias. Nordhoff got some further help from Christopher Calderon: he forced a fumble, made seven total tackles, and defended four passes.
Hamilton has traveled a rocky road recently having lost three of their last four matchups, which put a noticeable dent in their 4-6 record this season. That patch can't be blamed on the team's offensive performance across that stretch, as they averaged 28.3 points per game. As for Nordhoff, the win made it two in a row for them and bumps their season record up to 7-3.
Article generated by infoSentience based on data entered on MaxPreps