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NewtForce
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NewtForce
@newtforce
Pitching Performance, Quantified ‼️ Ground Force Data | Integrated Pitching Labs | Player Development Insights. No Hype, Just Results 📈 NF Assessments ⬇️
Katılım Ocak 2020
366 Takip Edilen1.6K Takipçiler

A collegiate arm sat at a 0.54-second Z Transfer.
That's not a strength gap, that's a sequencing gap. The lab data flagged it before any cue change.
#BuiltInTheLab
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Top MLB draft prospect @JoeyVolchko on the NewtForce integrated pitching lab.
Stopped trying to throw a straight four-seamer. Layered a sweeper. Discovered a seam-shifted sinker. And turned command from a feel thing into a quantifiable metric.
Full interview ⬇️ @BacksideGB @DawgAlerts
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NewtForce retweetledi

Finished short of our goal w/work left to do-This team is FAMILY!
SEASON-Hitting: .394/.486/1.114/.628 8 2B 3B 4HR 25RBI 16BB 5ROE .457BARIP
Pitching: 9-3 59.1IP 24BB 74K 34K-L 2.346ERA 1.08WHIP .183BAA
Catching: 79.1INN 5PB 30.00%CS.
6A ONLY-Hitting: .400/.476/1.040/.564 3 2B 2HR 15RBI 8BB ROE .478BARISP
Pitching: (92.8 MPH T) 7-2 43.2IP 16BB 51K 28K-L 2.405ERA 1.041WHIP .181BAA
Catching: 49INN 3PB 28.57%CS
#weafamily #OTR @CaneBSB @PrepBaseballAR @AllArkansasPrep @ChrisHudgison @TheSunJonesboro @KBoBaseballGuru @PG_Scouting @PGMidwestBB @PerfectGameUSA @eastcoastbball @MemphisBaseball @toddrhoades3 @PitchingCoachC @maxvelocitybsb @jweatherley21 @newtforce @BrooksLeach4 @JulieWeatherley @WarrenDeanW @JPSHurricane
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Positive X force at the back foot during Nick's load phase. Translation: he was pushing through the toe, not the middle of the back foot.
That closed off the stride direction and capped lead-leg output.
One cue → three downstream metrics moved. @FrontlineAM @CanesBaseball @nickrobertttt @DrLaz1 @32JonnyA
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Y Front Score 1.1. Z Front Score 1.83. Both below college peer.
Nick Robert's first NewtForce mound session surfaced the lead-leg force profile holding back his Tommy John return.
The mound saw it before the eyes did. 📈 @FrontlineAM @CanesBaseball @nickrobertttt @DrLaz1 @32JonnyA
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NewtForce retweetledi

Most players do not have unlimited time to develop.
College goes fast. Pro ball, if you get the opportunity, goes fast. Even the best careers in the world have a clock on them.
That is why the feedback loop matters so much.
With NewtForce, we are able to collect motion capture and force plate mound data pitch by pitch, in real time, while the athlete is actually throwing.
Instead of waiting until the next bullpen to make an adjustment, we can see what is happening, talk through it, and make the adjustment inside the same session.
For a player trying to get better, that matters.
Because when the career window is short, the goal should not just be to work hard.
It should be to learn faster, adjust faster, and make the most out of every rep.
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Signal: Y Front 1.1, below peer.
Insight: back-foot toe push closed off the stride. Application: middle-of-the-back-foot cue, water bag stability, lead leg deceleration.
91 in rehab to 97 in his debut. @FrontlineAM @CanesBaseball @nickrobertttt @DrLaz1 @32JonnyA


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NewtForce retweetledi

In collaboration with the great player-development staff and resources at @CanesBaseball , we identified three lead-leg metrics in @nickrobertttt Tommy John return.
91 mph to 97 mph in four weeks. Side struck out in his debut.
Full breakdown out now. @FrontlineAM @DrLaz1 @32JonnyA
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The pattern shows up across our athletes: clean up one upstream input — leg lift unload, in this case — and the downstream metrics move with it.
Z Back Score → Player Velo → peak lead-leg Z → throwing velocity.
Not four fixes. One.
That's what integrated data does. #BuiltInTheLab


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What is Z Back Score?
Peak Z force on the back leg, relative to body weight.
A 1.18 means the athlete is producing 118% of body weight down into the mound at peak Z.
Norms: • High school: 1.0+ • College: 1.2+ • Pro: 1.4–1.5+
This JUCO arm came in at 1.15. Below even the high school range — and he was already touching low 90s.
For an athlete that close to plus velo, you want him in the pro range.
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The two metrics that drove the case study:
Z Back Score — peak back-leg force, relative to body weight
Player Velo — how quickly the athlete moves toward home plate during the delivery
This JUCO pitcher's Player Velo: 5.05. Bottom end of the high school range.
Goal: 5.8+.
End of 8 months: 5.86. Z Back Score 1.16 → 1.34. +3 mph.
You don't fix velocity by chasing velocity. You fix it by reading the data layer that's lagging.
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Same pitcher. 30 minutes later.
Transfer times cut in half. Ball release now after peak Z.
One cue. Two drills. Every rep logged.
#BuiltInTheLab




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Same pitcher. Same session. Less than 30 minutes apart.
One cue: "chin over the top of your belly button."
One Darvish drill variation. One walking windup.
Transfer times cut in half. Force production up. Command feel, restored.
This is what the NewtForce integrated pitching lab actually does.
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8 months. +3 mph. JUCO arm.
Z Back Score: 1.16 → 1.34
Player Velo: 5.04 → 5.86
Z Front Score: 1.99 → 2.15
The lever was leg lift unload — he was unweighting ~50 lbs, target is 75–100. Once that came, peak back-leg Z climbed (225 → 273 lbs into the mound) and the rest of the delivery followed.
One upstream input. Whole delivery moved with it.
#BuiltInTheLab
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NewtForce retweetledi

Fun to follow OSU's rise this year. Great staff and early adopters installing a Launchpad (Pitching + Hitting) last offseason.
Saw @trob1023 & @WMorrisOSU firsthand run our Launchpad, @TrackManBB, and their @newtforce Mound simultaneously!
x.com/BuckeyeNatty/s…
Ohio Divided@BuckeyeNatty
Ohio State takes game 1 over #16 Nebraska Justin Haire has the Buckeyes at 22-21, 11-11 in the B1G… After going 13-37, 5-25 in the B1G a year ago The basketball program need a Justin Haire — a guy who comes in & just flips programs
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