Cory Geinzer

P ACL Rangers

Age 21 RHP ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	20	ROKTEX	18	18	8.15	6.33	25.5%	14.3%	—	K 17.3% · BB 17.9% · FIP 7.82
2027PROJ	21	MLBTEX	10	10	5.26	5.26	21.7%	15.0%	-0.1
2028PROJ49% MLB	22	MLBTEX	10	10	4.99	4.87	22.8%	13.0%	-0.0

Next 2 projected WAR -0.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 0% · didn't stick 100%

CompsKasey Ford (age 23) · Samuel Carpio (age 21) · Brandon Dufault (age 22)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 133125vR 117

ERA5.26

FIP5.26

K%21.7%

BB%15.0%

K-BB%6.7%

Proj IP10

Value2027 · WAR

Runs saved vs league avg · 10 IP

Grades · Contract

Scouting Grades

K†5055

Contract

No contract data on file. Pre-MLB players and minor-league free agents do not yet have salary projections — entries are added at first 40-man roster placement.

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how WAR & MLE are computed

Stats are park-neutral MLB equivalents. The "TEAM" column shows current org affiliation only — we do NOT project at that team's park.
Rates (K%, BB%, HR-BF) are park-stripped; MiLB stat lines are translated to their MLB-equivalent via per-level MLE factors.
WAR is computed from projected runs prevented vs a replacement pitcher (the marginal arm a team would call up if this pitcher were unavailable) — calibrated to industry-standard fWAR.

Year	Age	Lvl	Team	G	GS	IP	BF	K	BB	HR	GS%	IP/G	K%	BB%	K-BB%	HR%	ERA	FIP	WAR
▸ Career — actual stats, one row per year (as recorded, no adjustments)
▸ Career — adjusted (each season translated to a park/league-neutral MLB-equivalent line; levels combined per year)
▸ Model inputs — neutral MLE (past 3 seasons + 2027 so far)
2026	20	ROK MLE	ACL Rangers	18	0	18	98	25	14	5	0%	1.0	17.3%	17.9%	-0.5%	7.1%	8.15	7.82	—
2026	20	ROK MLE	ACL Rangers	18	0	18	98	25	14	5	0%	1.0	17.3%	17.9%	-0.5%	7.1%	8.15	7.82	—
2026	20	ROK RAW	ACL Rangers	18	0	18	98	25	14	5	0%	1.0	25.5%	14.3%	11.2%	5.1%	8.15	6.33	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	21	MLB	TEX	10	0	10	42	9	6	1	0%	1.0	21.7%	15.0%	6.7%	3.1%	5.26	5.26	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	22	MLB MLE	TEX	19	0	20	84	19	11	3	0%	1.1	22.8%	13.0%	9.8%	3.0%	4.99	4.87	-0.1
2028	22	MLB CTX	TEX	10	0	10	42	10	5	1	0%	1.0	22.8%	13.0%	9.8%	3.0%	4.99	4.87	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		9	0	10	42	9	5	1	0%	1.1	22.8%	13.0%	9.8%	3.0%	4.99	4.49	+0.0
/ 200 IP	—	RAW		190	0	200	844	183	102	20	0%	1.1	22.8%	13.0%	9.8%	3.0%	4.99	4.49	+0.1
Career	—	MLE		18	0	18	98	17	17	7	0%	1.0	17.3%	17.9%	-0.5%	7.1%	8.15	7.82	-0.1
/ 200 IP	—	MLE		204	0	200	1109	192	198	79	0%	1.0	17.3%	17.9%	-0.5%	7.1%	8.15	7.82	-0.8

Career Path Comps

What happened to similar pitchers from this age · Y-axis: ERA+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

			Profile at Match Age					Next 3 Yrs				Career
Comp	Age	Role	FIP	K%	BB%	HR/BF	BABIP	FIP	K%	K-BB%	IP	ΔFIP	Low FIP	IP	Match
Cory Geinzer (OGILVIE)	—	—	5.26	21.7%	15.0%	3.1%	—	4.87	22.8%	9.8%	20	-0.39	—	—	—
Kasey Ford R 2021 · 4.89 FIP	23	SU	4.89	20.3%	14.5%	3.0%	.310	4.26	21.9%	5.8%	98	-0.63	2.53	114	89
Samuel Carpio R 2024 · 4.20 FIP	21	SU	4.20	21.2%	15.3%	1.7%	.300	5.36	21.6%	-3.4%	112	+1.16	4.20	134	88
Brandon Dufault R 2021 · 5.32 FIP	22	SU	5.32	22.1%	15.9%	3.8%	.278	4.83	21.0%	4.2%	66	-0.49	4.38	152	88
Osiel Rodriguez R 2023 · 4.82 FIP	21	SU	4.82	22.7%	15.7%	3.0%	.263	5.62	22.0%	7.6%	56	+0.80	3.38	124	88
Michael Perez R 2024 · 5.44 FIP	21	SU	5.44	18.3%	16.1%	3.4%	.296	4.65	23.4%	7.7%	132	-0.79	4.38	153	87
Paul Gervase R 2022 · 4.91 FIP	22	SU	4.91	20.3%	16.2%	2.7%	.345	3.76	29.3%	16.0%	152	-1.15	3.38	211	87
Kyle Hinton R 2018 · 4.17 FIP	21	SU	4.17	23.5%	15.0%	2.1%	.275	5.69	17.7%	-0.7%	75	+1.52	4.17	106	87
Luis Alvarado R 2018 · 5.24 FIP	21	SU	5.24	20.2%	12.4%	4.2%	.276	5.16	18.7%	4.4%	140	-0.08	4.89	162	86
Andrew Schultz R 2019 · 5.25 FIP	22	SU	5.25	20.9%	17.8%	3.0%	.345	4.59	23.0%	4.7%	45	-0.66	3.56	176	86
Ty Tice R 2017 · 4.29 FIP	21	SU	4.29	22.2%	12.9%	2.6%	.271	3.53	19.4%	8.3%	108	-0.76	3.24	288	85
Carson Hobbs R 2024 · 5.63 FIP	22	SU	5.63	18.9%	13.6%	4.4%	.303	3.97	22.0%	10.4%	118	-1.66	3.54	143	85
Max Gieg R 2022 · 5.10 FIP	21	SU	5.10	21.1%	11.8%	4.2%	.317	4.65	20.4%	2.3%	92	-0.45	3.98	149	85
Nolan Sparks R 2024 · 4.10 FIP	21	SU	4.10	21.8%	13.5%	2.1%	.229	4.72	19.3%	5.3%	140	+0.62	4.10	155	85
Easton Sikorski R 2023 · 4.85 FIP	23	SU	4.85	20.9%	14.1%	3.1%	.254	4.62	17.5%	6.3%	154	-0.23	4.23	183	85
Morgan McSweeney R 2021 · 5.36 FIP	23	SU	5.36	21.9%	16.3%	3.7%	.295	5.15	18.5%	5.3%	93	-0.21	3.20	213	85
Jordan Mikel R 2021 · 4.49 FIP	22	SU	4.49	20.5%	12.5%	2.8%	.330	4.16	19.2%	9.0%	109	-0.33	3.04	195	84
Tommy DeJuneas R 2017 · 4.72 FIP	21	SU	4.72	19.1%	15.5%	2.3%	.357	4.59	20.8%	4.9%	100	-0.13	3.93	178	84
Isaac Gallegos R 2024 · 4.40 FIP	21	SU	4.40	22.9%	17.8%	1.8%	.267	3.09	19.9%	10.5%	106	-1.31	2.89	125	84
Zack Hess R 2019 · 5.00 FIP	22	SU	5.00	18.1%	13.1%	3.2%	.232	5.47	22.9%	6.3%	50	+0.47	5.00	101	84
Tim Naughton R 2017 · 4.53 FIP	21	SU	4.53	17.9%	15.6%	1.8%	.312	3.58	20.7%	6.4%	83	-0.95	2.93	305	84