Frank Martinez

P Hickory Crawdads

Age 25 RHP 6'2" / 165 lbs A

Overview

APROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	22	ROKDSL Rangers R…	14	0	37	3.41	4.53	29.4%	17.2%	—	K 20.0% · BB 21.5% · FIP 5.90
2025	23	MIX2 levels	25	0	42	4.50	2.55	25.0%	10.0%	—	K 17.5% · BB 13.3% · FIP 3.30
2026	24	MIX2 levels	27	4	50	7.38	4.92	21.9%	11.0%	—	K 16.4% · BB 13.1% · FIP 6.23
2027PROJ	25	MLBTEX	—	—	0	5.32	5.32	18.9%	13.2%	—
2028PROJ43% MLB	26	MLBTEX	13	0	14	5.19	5.17	19.8%	12.8%	-0.1
2029PROJ63% MLB	27	MLBTEX	17	0	18	5.14	5.15	20.1%	12.6%	-0.1

Next 3 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 100%

CompsFrancisco Del Rosario (age 25) · Hayden Snelsire (age 23) · Ryan Conroy (age 25)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 134126vR 118

ERA5.32

FIP5.32

K%18.9%

BB%13.2%

K-BB%5.6%

Proj IP24

Value2027 · WAR

Runs saved vs league avg · 24 IP

Grades · Contract

Scouting Grades

K†4550

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 the standard WAR scale.

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)
2023	21	ROK MLE	DSL Rangers Red	11	2	20	111	17	18	1	18%	1.8	10.4%	20.3%	-9.9%	1.2%	10.18	5.44	—
2023	21	ROK RAW	DSL Rangers Red	11	2	20	111	17	18	1	18%	1.8	15.3%	16.2%	-0.9%	0.9%	10.18	4.72	—
2024	22	ROK MLE	DSL Rangers Red	14	0	37	163	48	28	5	0%	2.6	20.0%	21.5%	-1.4%	3.2%	3.41	5.90	—
2024	22	ROK MLE	DSL Rangers Red	14	0	37	163	48	28	5	0%	2.6	20.0%	21.5%	-1.4%	3.2%	3.41	5.90	—
2024	22	ROK RAW	DSL Rangers Red	14	0	37	163	48	28	5	0%	2.6	29.4%	17.2%	12.3%	3.1%	3.41	4.53	—
2025	23	MIX MLE	2 levels	25	0	42	180	45	18	1	0%	1.7	17.5%	13.3%	4.3%	0.0%	4.50	3.30	—
2025	23	MIX MLE	2 levels	25	0	42	180	45	18	1	0%	1.7	17.5%	13.3%	4.3%	0.0%	4.50	3.30	—
2025	23	MIX RAW	2 levels	25	0	42	180	45	18	1	0%	1.7	25.0%	10.0%	15.0%	0.6%	4.50	2.55	—
2026	24	MIX MLE	2 levels	27	4	50	237	52	26	9	15%	1.9	16.4%	13.1%	3.3%	5.2%	7.38	6.23	—
2026	24	MIX MLE	2 levels	27	4	50	237	52	26	9	15%	1.9	16.4%	13.1%	3.3%	5.2%	7.38	6.23	—
2026	24	MIX RAW	2 levels	27	4	50	237	52	26	9	15%	1.9	21.9%	11.0%	11.0%	3.8%	7.38	4.92	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	25	MLB	TEX	—	—	0	—	—	—	—	—	—	18.9%	13.2%	5.6%	3.2%	5.32	5.32	—
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	26	MLB MLE	TEX	32	0	34	142	28	18	5	0%	1.1	19.8%	12.8%	7.0%	3.2%	5.19	5.17	-0.2
2029	27	MLB MLE	TEX	28	0	29	123	25	16	4	0%	1.0	20.1%	12.6%	7.5%	3.2%	5.14	5.15	-0.2
2028	26	MLB CTX	TEX	13	0	14	59	12	8	2	0%	1.1	19.8%	12.8%	7.0%	3.2%	5.19	5.17	-0.1
2029	27	MLB CTX	TEX	17	0	18	76	15	10	2	0%	1.1	20.1%	12.6%	7.5%	3.2%	5.14	5.15	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		31	0	33	138	28	18	4	0%	1.1	20.0%	12.7%	7.3%	3.2%	5.16	4.78	-0.1
/ 200 IP	—	RAW		190	0	200	844	171	110	24	0%	1.1	20.0%	12.7%	7.3%	3.2%	5.16	4.78	-0.5
Career	—	MLE		77	6	149	691	115	112	19	8%	1.9	16.6%	16.3%	0.3%	2.7%	5.97	5.26	-0.4
/ 200 IP	—	MLE		103	8	200	925	154	151	25	8%	1.9	16.6%	16.3%	0.3%	2.7%	5.97	5.26	-1.4

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 AHickory Crawdads · 47 IPFIP 4.83 → 6.23 (+1.40)K% 22.2% → 16.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.22%	—	×0.740	16.44%
BB% (unintentional) /BF	11.11%	—	×1.180	13.11%
HR / BF /BF	4.00%	÷1.000	×1.300	5.20%

Factors used: pitcher A level factors — K ×0.74, BB ×1.18, HR ×1.30. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 100).

Result: FIP 4.83 → 6.23, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2025 ROKACL Rangers · 30 IPFIP 2.27 → 3.30 (+1.03)K% 25.8% → 17.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.76%	—	×0.680	17.52%
BB% (unintentional) /BF	10.61%	—	×1.250	13.26%
HR / BF /BF	0.00%	÷1.302	×1.400	0.00%

Factors used: pitcher ROK level factors — K ×0.68, BB ×1.25, HR ×1.40. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 160).

Result: FIP 2.27 → 3.30, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2025 AHickory Crawdads · 12 IPFIP 3.36 → 4.35 (+0.98)K% 22.9% → 17.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.92%	—	×0.740	16.96%
BB% (unintentional) /BF	8.33%	—	×1.180	9.83%
HR / BF /BF	2.08%	÷1.037	×1.300	2.61%

Result: FIP 3.36 → 4.35, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2024 ROKDSL Rangers Red · 37 IPFIP 4.47 → 5.90 (+1.42)K% 29.4% → 20.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.45%	—	×0.680	20.02%
BB% (unintentional) /BF	17.18%	—	×1.250	21.47%
HR / BF /BF	3.07%	÷1.333	×1.400	3.22%

Result: FIP 4.47 → 5.90, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2023 ROKDSL Rangers Red · 20 IPFIP 4.36 → 5.44 (+1.09)K% 15.3% → 10.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	15.32%	—	×0.680	10.41%
BB% (unintentional) /BF	16.22%	—	×1.250	20.27%
HR / BF /BF	0.90%	÷1.056	×1.400	1.19%

Result: FIP 4.36 → 5.44, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

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
Frank Martinez (OGILVIE)	—	—	5.32	18.9%	13.2%	3.2%	—	5.16	19.9%	7.2%	63	-0.16	—	—	—
Francisco Del Rosario R 2006 · 5.13 FIP	25	SU	5.13	19.4%	13.0%	3.7%	.290	3.93	19.7%	10.3%	26	-1.20	3.93	194	90
Hayden Snelsire R 2024 · 5.10 FIP	23	SU	5.10	18.9%	13.8%	3.4%	.272	4.28	20.0%	13.7%	135	-0.82	3.83	178	88
Ryan Conroy R 2022 · 4.75 FIP	25	SU	4.75	19.3%	12.6%	3.1%	.361	—	—	—	—	—	4.01	106	85
Casey Fien R 2009 · 5.17 FIP	25	SU	5.17	17.0%	11.3%	3.8%	.306	2.79	22.7%	19.2%	35	-2.38	2.79	308	85
Andrew McInvale R 2022 · 5.15 FIP	25	SU	5.15	17.6%	15.9%	2.8%	.324	6.44	24.5%	10.0%	23	+1.29	4.92	103	84
Juan Paniagua R 2015 · 4.69 FIP	25	SU	4.69	15.7%	11.9%	2.6%	.262	4.63	16.2%	1.8%	93	-0.06	4.57	151	83
Josh Harlow R 2024 · 5.17 FIP	23	SU	5.17	18.5%	13.5%	3.5%	.266	5.73	17.1%	-4.2%	51	+0.56	5.17	107	83
Marc Brakeman R 2018 · 4.67 FIP	24	SU	4.67	18.3%	13.7%	2.5%	.294	—	—	—	—	—	3.85	156	83
Kevin Kopps R 2022 · 4.56 FIP	25	SU	4.56	20.2%	15.1%	2.3%	.278	4.40	16.3%	4.0%	182	-0.16	3.45	237	83
Tyler Burch R 2023 · 4.92 FIP	25	SU	4.92	15.0%	12.6%	2.7%	.285	—	—	—	—	—	4.56	119	83
Haden Erbe R 2024 · 5.28 FIP	25	SU	5.28	18.4%	16.5%	3.0%	.320	5.19	17.8%	0.5%	40	-0.09	5.19	116	83
David Holman R 2017 · 5.53 FIP	27	SU	5.53	15.6%	12.7%	3.9%	.324	5.45	9.6%	0.5%	107	-0.08	5.28	129	83
Nolan Riggs R 2018 · 4.49 FIP	25	SU	4.49	20.7%	14.0%	2.5%	.300	—	—	—	—	—	2.36	132	82
Nick Ernst R 2022 · 5.05 FIP	25	SU	5.05	21.9%	14.6%	3.5%	.275	—	—	—	—	—	3.56	117	82
Tanner Duncan R 2019 · 5.37 FIP	24	SU	5.37	17.5%	14.8%	3.4%	.301	—	—	—	—	—	3.28	123	82
Spencer Bivens R 2022 · 4.86 FIP	28	SU	4.86	19.8%	13.5%	3.1%	.265	3.85	18.1%	10.3%	272	-1.01	3.52	391	82
Grant Black R 2021 · 4.46 FIP	27	SW	4.46	19.0%	13.9%	2.2%	.327	5.35	15.0%	3.8%	156	+0.89	4.46	215	82
Sean Wymer R 2022 · 4.71 FIP	25	SU	4.71	18.2%	14.1%	2.5%	.227	—	—	—	—	—	4.18	188	82
Thad Weber R 2013 · 5.18 FIP	28	SU	5.18	16.4%	13.1%	3.3%	.244	4.52	12.2%	6.0%	308	-0.66	4.40	378	82
Josh Hejka R 2022 · 4.65 FIP	25	SU	4.65	16.7%	10.8%	2.9%	.363	3.93	15.8%	8.7%	77	-0.72	2.91	202	82

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,234 reliever careers (754 from 1990-2025 + 480 historical, 1901-2023), also matched on career-to-date at the same age. * Historical (Lahman) careers: rates era-adjusted to 2001-24 league levels; WAR is an OGILVIE proxy.

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	0.4	29	19.6%	12.9%	1.24	5.21
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*
Valerio De Los Santos ('08)	1.3	51	18.7%	11.5%	1.30	4.57
John Hudek ('99)	1.0	40	23.0%	13.7%	1.30	4.43
Fred Lasher ('63-'71, -1 WAR*)	1.0	50	21.5%*	11.9%*	1.05*	4.68*
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*
Richie Lewis ('98)	1.5	59	18.1%	14.1%	1.38	4.88