Craig Yoho

P Cleveland Guardians

Age 27 RHP 6'2" / 237 lbs MLB peak 0.3 · 2027

Overview

MLBRP40-MANROOKIE

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	24	MIX3 levels	48	58	0.94	0.79	42.4%	9.7%	—	K 34.1% · BB 10.0% · FIP 1.48
2025	25	MIX2 levels	51	56	1.92	2.44	28.9%	12.1%	1.4	K 27.0% · BB 9.0% · FIP 1.95
2026	26	MIX2 levels	53	61	3.38	3.64	28.5%	9.3%	0.7	K 26.8% · BB 9.1% · FIP 3.83
2027PROJ	27	MLBCLE	33	35	4.11	4.16	27.2%	10.8%	0.2
2028PROJ84% MLB	28	MLBCLE	32	34	4.21	4.26	26.7%	10.8%	0.1
2029PROJ87% MLB	29	MLBCLE	29	30	4.34	4.43	25.9%	10.9%	0.0

Last 3 seasons WAR 2.1 · Next 3 projected WAR 0.3Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

K%65

FB Velo47

xwOBA vs44

Form6.87 ERA (proj 4.11) · K 26.7% (proj 27.2%) · BB 11.6% (proj 10.8%) · last 90d · 18 IP through Oct 27

Career WAR0.0 WAR median (P10 -0.3 / P90 2.4, comp-based) · star 0% · didn't stick 87%

CompsFernando Rodriguez Jr. (age 27) · Jose Veras (age 27) · Spencer Patton (age 27)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 111103vR 95

ERA4.11

FIP4.16

K%27.2%

BB%10.8%

K-BB%16.3%

Proj IP46

Value2027 · WAR

Runs saved vs league avg · 46 IP

Statcast · Contract

Statcast Percentiles

FB Velo

p4794.3

Whiff%

p7028.4%

p6525.0%

xwOBA vs

p440.318

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	23	ROK MLE	ACL Brewers	3	0	3	15	3	1	1	0%	0.9	20.0%	6.7%	13.3%	6.7%	10.12	5.91	—
2023	23	ROK RAW	ACL Brewers	3	0	3	15	3	1	1	0%	0.9	20.0%	6.7%	13.3%	6.7%	10.12	6.85	—
2024	24	MIX MLE	3 levels	48	0	58	238	101	23	0	0%	1.2	34.1%	10.0%	24.1%	0.0%	0.94	1.48	—
2024	24	MIX MLE	3 levels	48	0	58	238	101	23	0	0%	1.2	34.1%	10.0%	24.1%	0.0%	0.94	1.48	—
2024	24	MIX RAW	3 levels	48	0	58	238	101	23	0	0%	1.2	42.4%	9.7%	32.8%	0.0%	0.94	0.79	—
2025	25	MIX MLE	2 levels	51	0	56	232	67	28	1	0%	1.1	27.0%	9.0%	18.1%	0.0%	1.92	1.95	+1.8
2025	25	MIX MLE	2 levels	51	0	56	232	67	28	1	0%	1.1	27.0%	9.0%	18.1%	0.0%	1.92	1.95	+1.8
2025	25	MIX RAW	2 levels	51	0	56	232	67	28	1	0%	1.1	28.9%	12.1%	16.8%	0.4%	1.92	2.44	+1.4
2026	26	MIX MLE	2 levels	53	0	61	246	70	23	8	0%	1.2	26.8%	9.1%	17.7%	3.3%	3.38	3.83	+0.5
2026	26	MIX MLE	2 levels	53	0	61	246	70	23	8	0%	1.2	26.8%	9.1%	17.7%	3.3%	3.38	3.83	+0.5
2026	26	MIX RAW	2 levels	53	0	61	246	70	23	8	0%	1.2	28.5%	9.3%	19.1%	3.3%	3.38	3.64	+0.7
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			42	0	47	205	48	27	7	0%	1.1	23.4%	13.2%	10.2%	3.4%	5.36	4.72	-0.1
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	27	MLB	CLE	33	0	35	148	40	16	4	0%	1.1	27.2%	10.8%	16.3%	2.9%	4.11	4.16	+0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	28	MLB MLE	CLE	39	0	41	174	46	19	5	0%	1.1	26.7%	10.8%	15.9%	3.0%	4.21	4.26	+0.1
2029	29	MLB MLE	CLE	33	0	34	146	38	16	5	0%	1.0	25.9%	10.9%	14.9%	3.2%	4.34	4.43	+0.0
2028	28	MLB CTX	CLE	32	0	34	144	38	16	4	0%	1.1	26.7%	10.8%	15.9%	3.0%	4.21	4.26	+0.1
2029	29	MLB CTX	CLE	29	0	30	127	33	14	4	0%	1.0	25.9%	10.9%	14.9%	3.2%	4.34	4.43	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		103	0	112	478	120	57	15	0%	1.1	25.1%	11.9%	13.2%	3.2%	4.73	4.26	+0.4
/ 200 IP	—	RAW		186	0	200	856	215	102	27	0%	1.1	25.1%	11.9%	13.2%	3.2%	4.73	4.26	+0.7
Career	—	MLE		155	0	178	731	213	68	9	0%	1.1	29.1%	9.3%	19.8%	1.3%	2.22	2.51	+0.1
/ 200 IP	—	MLE		174	0	200	821	239	76	10	0%	1.1	29.1%	9.3%	19.8%	1.3%	2.22	2.51	+0.2

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 AAANashville Sounds · 23 IPFIP 2.22 → 2.70 (+0.47)K% 35.4% → 30.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	35.37%	—	×0.860	30.41%
BB% (unintentional) /BF	6.10%	—	×0.900	5.49%
HR / BF /BF	2.44%	÷1.000	×1.100	2.68%

Factors used: pitcher AAA level factors (Triple-A 2023+ robo-zone set: walks improve on promotion) — K ×0.86, BB ×0.90, HR ×1.10. 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 2.22 → 2.70, 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 AAANashville Sounds · 48 IPFIP 1.71 → 1.95 (+0.25)K% 31.4% → 27.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	31.41%	—	×0.860	27.02%
BB% (unintentional) /BF	9.95%	—	×0.900	8.95%
HR / BF /BF	0.00%	÷1.111	×1.100	0.00%

Result: FIP 1.71 → 1.95, 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 AABiloxi Shuckers · 23 IPFIP 0.20 → 1.05 (+0.85)K% 46.5% → 37.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	46.46%	—	×0.810	37.64%
BB% (unintentional) /BF	8.08%	—	×1.100	8.89%
HR / BF /BF	0.00%	÷1.198	×1.200	0.00%

Factors used: pitcher AA level factors — K ×0.81, BB ×1.10, HR ×1.20. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 140).

Result: FIP 0.20 → 1.05, 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 A+Wisconsin Timber Rattlers · 20 IPFIP 0.03 → 1.11 (+1.08)K% 48.1% → 37.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	48.05%	—	×0.770	37.00%
BB% (unintentional) /BF	7.79%	—	×1.150	8.96%
HR / BF /BF	0.00%	÷0.979	×1.250	0.00%

Factors used: pitcher A+ level factors — K ×0.77, BB ×1.15, HR ×1.25. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 96).

Result: FIP 0.03 → 1.11, 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 AAANashville Sounds · 14 IPFIP 2.49 → 2.65 (+0.16)K% 29.0% → 25.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.03%	—	×0.860	24.97%
BB% (unintentional) /BF	14.52%	—	×0.900	13.06%
HR / BF /BF	0.00%	÷0.909	×1.100	0.00%

Result: FIP 2.49 → 2.65, 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
Craig Yoho (OGILVIE)	—	—	—	—	—	2.9%	—	4.34	26.3%	15.4%	76	+0.18	—	—	—
Fernando Rodriguez Jr. R 2011 · 3.85 FIP	27	SU	3.85	24.7%	10.8%	2.7%	.315	3.90	25.2%	16.5%	70	+0.05	3.34	335	89
Jose Veras R 2008 · 3.67 FIP	27	SU	3.67	24.9%	9.1%	2.8%	.281	4.10	23.8%	11.7%	169	+0.43	3.37	422	88
Spencer Patton R 2015 · 3.47 FIP	27	SU	3.47	26.8%	9.6%	2.6%	.295	2.79	30.3%	18.1%	57	-0.68	2.79	239	87
Chaz Roe R 2013 · 4.02 FIP	26	SU	4.02	25.3%	10.5%	3.1%	.259	2.81	24.6%	16.2%	133	-1.21	1.72	279	86
Zach Franklin R 2024 · 3.24 FIP	25	SU	3.24	26.4%	10.9%	1.8%	.301	4.15	27.5%	18.3%	117	+0.91	3.24	158	86
Marcos Mateo R 2011 · 3.40 FIP	27	SU	3.40	25.5%	10.2%	2.1%	.361	—	—	—	—	—	3.12	104	86
Matt Ramsey R 2017 · 3.25 FIP	27	SU	3.25	24.2%	9.6%	1.8%	.330	3.21	23.6%	14.6%	81	-0.04	2.42	125	85
Simon Castro R 2015 · 3.28 FIP	27	SU	3.28	26.4%	8.5%	2.4%	.320	3.58	26.0%	17.6%	128	+0.30	3.01	185	84
Taylor Williams R 2018 · 3.52 FIP	27	SU	3.52	24.2%	8.9%	2.4%	.309	4.35	22.5%	12.7%	108	+0.83	2.51	309	84
Maikel Cleto R 2016 · 3.44 FIP	27	SU	3.44	27.9%	9.9%	2.6%	.301	3.61	23.6%	14.3%	70	+0.17	2.59	185	84
Kiko Calero R 2003 · 3.54 FIP	28	SU	3.54	31.5%	11.1%	3.1%	.273	3.11	26.1%	18.9%	159	-0.43	2.27	298	84
Anthony Varvaro R 2012 · 3.66 FIP	27	SU	3.66	27.6%	10.5%	2.8%	.311	3.30	17.7%	11.0%	139	-0.36	3.02	208	84
Santiago Casilla R 2007 · 3.58 FIP	27	SU	3.58	23.7%	7.8%	2.7%	.257	3.60	19.8%	10.7%	154	+0.02	2.76	647	84
Jason Bulger R 2008 · 4.60 FIP	29	SU	4.60	27.4%	12.3%	4.1%	.293	3.94	25.1%	13.3%	90	-0.66	3.78	106	84
Jason Adam R 2019 · 3.39 FIP	27	SU	3.39	24.2%	9.0%	2.2%	.237	2.64	33.1%	24.9%	88	-0.75	2.42	396	83
Ryan Brasier R 2016 · 3.68 FIP	28	SU	3.68	25.0%	7.7%	3.1%	.289	3.09	24.2%	17.9%	130	-0.59	2.31	426	83
Grant Balfour R 2004 · 3.79 FIP	26	SU	3.79	24.4%	11.6%	2.3%	.292	4.01	24.8%	8.3%	25	+0.22	2.04	533	83
Michael Flynn R 2024 · 3.99 FIP	27	SU	3.99	27.6%	8.3%	3.9%	.277	4.68	16.2%	3.7%	50	+0.69	3.89	168	83
Jon Edwards R 2015 · 3.40 FIP	27	SU	3.40	31.7%	13.1%	2.4%	.264	2.40	30.3%	22.6%	30	-1.00	2.40	132	83
Ryan Garton R 2017 · 3.67 FIP	27	SU	3.67	25.2%	11.3%	2.3%	.252	4.15	23.5%	10.8%	108	+0.48	3.14	307	83

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	0.8	42	25.7%	11.5%	1.22	4.53
José Cisnero ('24)	1.4	46	24.0%	11.3%	1.01	4.16
Mac Scarce ('72-'78, 1 WAR*)	1.0	52	25.9%*	12.4%*	1.27*	4.17*
Yency Almonte ('24)	1.1	45	22.5%	9.9%	1.13	4.44
Colin Poche ('25)	1.1	54	26.7%	10.2%	1.32	4.01
Fred Lasher ('63-'71, -1 WAR*)	1.0	50	21.5%*	11.9%*	1.05*	4.68*
Ed Glynn ('75-'85, -0 WAR*)	1.3	53	23.5%*	12.9%*	1.22*	4.69*