Peter Solomon

P Iowa Cubs

Age 30 RHP 6'4" / 211 lbs AAA

Overview

AAARPROOKIE

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	26	MIX3 levels	30	17	104	8.22	5.15	19.8%	11.0%	0.3	K 16.8% · BB 10.5% · FIP 4.99
2024	27	AAATEX	22	11	72	6.50	5.57	21.6%	12.7%	—	K 18.6% · BB 11.4% · FIP 5.99
2025	28	AAACHC	6	6	18	7.50	4.66	25.0%	12.5%	—	K 21.5% · BB 11.2% · FIP 4.54
2026	29	No MLB games played
2027PROJ	30	MLBCHC	1	1	6	5.57	5.54	18.7%	14.2%	-0.0
2028PROJ37% MLB	31	MLBCHC	2	2	15	5.57	5.65	18.4%	14.1%	-0.0
2029PROJ55% MLB	32	MLBCHC	3	3	17	5.67	5.81	18.0%	14.1%	-0.1

Last 3 seasons WAR 0.3 · Next 3 projected WAR -0.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2023

FB Velo32

K%10

xwOBA vs10

CompsDerek Eitel (age 29) · Travis Smith (age 29) · Zack Segovia (age 32)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 138130vR 122

ERA5.57

FIP5.54

K%18.7%

BB%14.2%

K-BB%4.5%

Proj IP58

Value2027 · WAR

Runs saved vs league avg · 58 IP

Grades · Statcast · Contract

Scouting Grades

STUF4040

CTRL2020

CMD2020

K†4545

Statcast Percentiles

FB Velo

p3293.2

Whiff%

p1720.7%

p109.0%

xwOBA vs

p100.429

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)
2017	20	ROK MLE	GCL Astros	1	1	1	3	0	0	0	100%	1.0	0.0%	0.0%	0.0%	0.0%	0.00	3.10	—
2017	20	ROK RAW	GCL Astros	1	1	1	3	0	0	0	100%	1.0	0.0%	0.0%	0.0%	0.0%	0.00	3.10	—
2018	21	MIX MLE	2 levels	24	13	101	403	114	32	2	54%	4.2	21.1%	9.3%	11.8%	0.7%	2.32	2.86	—
2018	21	MIX RAW	2 levels	24	13	101	403	114	32	2	54%	4.2	28.3%	7.9%	20.3%	0.5%	2.32	2.05	—
2019	22	A+ MLE	Fayetteville Woodpeckers	2	2	8	33	14	4	1	100%	3.8	42.4%	12.1%	30.3%	3.0%	2.35	2.72	—
2019	22	A+ RAW	Fayetteville Woodpeckers	2	2	8	33	14	4	1	100%	3.8	42.4%	12.1%	30.3%	3.0%	2.35	2.71	—
2021	24	MIX MLE	2 levels	27	18	112	481	122	50	16	67%	4.1	22.6%	10.8%	11.7%	3.9%	4.27	4.71	+0.9
2021	24	MIX RAW	2 levels	27	18	112	481	122	50	16	67%	4.1	25.4%	10.4%	15.0%	3.3%	4.27	4.12	+1.7
2022	25	AAA MLE	Indianapolis Indians	27	21	110	495	98	54	22	78%	4.1	17.4%	11.5%	6.0%	4.8%	5.58	5.73	—
2022	25	AAA RAW	Indianapolis Indians	27	21	110	495	98	54	22	78%	4.1	19.8%	10.9%	8.9%	4.4%	5.58	5.40	—
2023	26	MIX MLE	3 levels	30	17	104	511	101	56	19	57%	3.5	16.8%	10.5%	6.3%	3.6%	8.22	4.99	+0.5
2023	26	MIX RAW	3 levels	30	17	104	511	101	56	19	57%	3.5	19.8%	11.0%	8.8%	3.7%	8.22	5.15	+0.3
2024	27	AAA MLE	Round Rock Express	22	11	72	324	70	41	15	50%	3.3	18.6%	11.4%	7.2%	5.5%	6.50	5.99	—
2024	27	AAA MLE	Round Rock Express	22	11	72	324	70	41	15	50%	3.3	18.6%	11.4%	7.2%	5.5%	6.50	5.99	—
2024	27	AAA RAW	Round Rock Express	22	11	72	324	70	41	15	50%	3.3	21.6%	12.7%	9.0%	4.6%	6.50	5.57	—
2025	28	AAA MLE	Iowa Cubs	6	6	18	88	22	11	3	100%	3.0	21.5%	11.2%	10.2%	3.3%	7.50	4.54	—
2025	28	AAA MLE	Iowa Cubs	6	6	18	88	22	11	3	100%	3.0	21.5%	11.2%	10.2%	3.3%	7.50	4.54	—
2025	28	AAA RAW	Iowa Cubs	6	6	18	88	22	11	3	100%	3.0	25.0%	12.5%	12.5%	3.4%	7.50	4.66	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			11	0	27	122	16	19	2	0%	2.5	13.1%	15.6%	-2.5%	1.6%	6.59	4.97	-0.1
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	30	MLB	CHC	1	1	6	25	5	4	1	100%	6.0	18.7%	14.2%	4.5%	3.4%	5.57	5.54	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	31	MLB MLE	CHC	7	7	40	169	31	24	6	100%	5.7	18.4%	14.1%	4.4%	3.5%	5.57	5.65	-0.1
2029	32	MLB MLE	CHC	5	5	32	133	24	19	5	100%	6.3	18.0%	14.1%	3.9%	3.8%	5.67	5.81	-0.1
2028	31	MLB CTX	CHC	2	2	15	63	12	9	2	100%	7.5	18.4%	14.1%	4.4%	3.5%	5.57	5.65	-0.0
2029	32	MLB CTX	CHC	3	3	17	72	13	10	3	100%	5.7	18.0%	14.1%	3.9%	3.8%	5.67	5.81	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		16	5	59	258	41	38	7	31%	3.7	15.8%	14.8%	1.0%	2.7%	6.07	5.12	-0.4
/ 200 IP	—	RAW		55	18	200	867	138	128	24	33%	3.6	15.8%	14.8%	1.0%	2.7%	6.07	5.12	-1.3
Career	—	MLE		139	89	525	2338	459	251	86	64%	3.8	19.6%	10.7%	8.9%	3.7%	5.33	4.81	-0.1
/ 200 IP	—	MLE		53	34	200	891	175	96	33	64%	3.8	19.6%	10.7%	8.9%	3.7%	5.33	4.81	-0.3

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.

2025 AAAIowa Cubs · 18 IPFIP 4.44 → 4.54 (+0.10)K% 25.0% → 21.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.00%	—	×0.860	21.50%
BB% (unintentional) /BF	12.50%	—	×0.900	11.25%
HR / BF /BF	3.41%	÷1.125	×1.100	3.33%

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 125).

Result: FIP 4.44 → 4.54, 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 AAARound Rock Express · 72 IPFIP 5.42 → 5.99 (+0.57)K% 21.6% → 18.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.60%	—	×0.860	18.58%
BB% (unintentional) /BF	12.65%	—	×0.900	11.39%
HR / BF /BF	4.63%	÷0.928	×1.100	5.49%

Result: FIP 5.42 → 5.99, 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 AAAReno Aces · 54 IPFIP 5.06 → 5.32 (+0.26)K% 19.7% → 17.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.72%	—	×0.860	16.96%
BB% (unintentional) /BF	12.11%	—	×0.900	10.90%
HR / BF /BF	3.81%	÷1.012	×1.100	4.14%

Result: FIP 5.06 → 5.32, 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 AAAmarillo Sod Poodles · 37 IPFIP 3.97 → 3.88 (−0.09)K% 24.5% → 19.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.52%	—	×0.810	19.86%
BB% (unintentional) /BF	6.45%	—	×1.100	7.10%
HR / BF /BF	3.87%	÷1.637	×1.200	2.84%

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 227).

Result: FIP 3.97 → 3.88, 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).

2022 AAAIndianapolis Indians · 110 IPFIP 5.25 → 5.73 (+0.48)K% 19.8% → 17.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.80%	—	×0.880	17.42%
BB% (unintentional) /BF	10.91%	—	×1.050	11.45%
HR / BF /BF	4.44%	÷1.013	×1.100	4.83%

Factors used: pitcher AAA level factors — K ×0.88, BB ×1.05, 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 103).

Result: FIP 5.25 → 5.73, 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).

2021 AAASugar Land Skeeters · 98 IPFIP 4.19 → 4.88 (+0.69)K% 26.3% → 23.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.29%	—	×0.880	23.14%
BB% (unintentional) /BF	9.86%	—	×1.050	10.35%
HR / BF /BF	3.76%	÷0.935	×1.100	4.42%

Result: FIP 4.19 → 4.88, 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).

2019 A+Fayetteville Woodpeckers · 8 IPFIP 2.72 → 4.25 (+1.54)K% 42.4% → 32.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	42.42%	—	×0.770	32.67%
BB% (unintentional) /BF	12.12%	—	×1.150	13.94%
HR / BF /BF	3.03%	÷0.969	×1.250	3.91%

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 94).

Result: FIP 2.72 → 4.25, 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).

2018 AQuad Cities River Bandits · 78 IPFIP 2.22 → 3.15 (+0.93)K% 27.8% → 20.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.76%	—	×0.740	20.54%
BB% (unintentional) /BF	8.83%	—	×1.180	10.42%
HR / BF /BF	0.63%	÷0.973	×1.300	0.84%

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 95).

Result: FIP 2.22 → 3.15, 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
Peter Solomon (OGILVIE)	—	—	5.54	18.7%	14.2%	3.4%	—	5.72	18.3%	4.2%	72	+0.18	—	—	—
Derek Eitel R 2017 · 4.72 FIP	29	SP-	4.72	17.2%	16.0%	1.9%	.273	—	—	—	—	—	3.96	138	73
Travis Smith R 2002 · 5.28 FIP	29	SP	5.28	13.1%	8.2%	4.1%	.324	5.71	15.0%	9.0%	51	+0.43	3.67	105	69
Zack Segovia R 2015 · 4.78 FIP	32	SP	4.78	15.0%	8.3%	3.4%	.314	3.33	20.2%	14.3%	39	-1.45	3.33	144	68
Reinier Roibal R 2019 · 4.91 FIP	30	SP	4.91	17.5%	11.8%	3.3%	.426	—	—	—	—	—	3.11	133	68
Aaron Wilkerson R 2019 · 4.67 FIP	30	SP-	4.67	20.9%	9.8%	3.8%	.291	3.33	24.6%	19.0%	112	-1.34	2.75	902	66
Luis Mateo R 2019 · 5.55 FIP	29	SP-	5.55	8.6%	13.4%	2.7%	.303	—	—	—	—	—	3.48	160	66
Alfonso Sanchez R 2017 · 4.51 FIP	29	SW	4.51	12.5%	9.8%	2.2%	.346	7.58	8.6%	1.4%	39	+3.07	4.51	224	65
Michael Mariot R 2019 · 5.01 FIP	30	SP	5.01	19.8%	11.1%	4.0%	.333	5.03	15.8%	7.4%	182	+0.02	2.40	701	65
Scott McGregor R 2015 · 4.37 FIP	28	SP-	4.37	11.8%	7.6%	2.4%	.293	—	—	—	—	—	4.37	107	65
Mark Appel R 2021 · 5.90 FIP	30	SP-	5.90	15.6%	15.6%	3.9%	.260	4.22	18.5%	8.1%	40	-1.68	4.22	363	65
Miguel Ruiz R 2015 · 5.77 FIP	29	SP-	5.77	8.8%	8.0%	4.4%	.346	5.60	10.6%	-0.4%	53	-0.17	5.60	117	65
Juan Omar Espinoza R 2015 · 4.81 FIP	31	SP-	4.81	8.9%	6.6%	3.0%	.346	4.84	8.4%	-0.8%	52	+0.03	4.81	104	64
Josh Zeid R 2017 · 5.35 FIP	30	SW	5.35	18.3%	10.8%	4.4%	.334	—	—	—	—	—	4.00	313	64
Jose A. Flores R 2018 · 4.77 FIP	29	SP-	4.77	13.7%	10.3%	2.8%	.350	—	—	—	—	—	2.94	237	64
Bryan Brickhouse R 2022 · 4.78 FIP	30	SP-	4.78	18.8%	11.7%	3.2%	.304	—	—	—	—	—	4.31	214	64
David Fletcher R 2024 · 5.67 FIP	30	SP-	5.67	7.5%	10.3%	3.5%	.294	—	—	—	—	—	5.67	100	63
Tim Adleman R 2017 · 5.35 FIP	29	SP-	5.35	20.3%	9.4%	5.1%	.276	4.30	22.8%	15.0%	117	-1.05	3.63	605	63
Alex Caldera R 2016 · 4.54 FIP	30	SP	4.54	11.9%	11.1%	1.9%	.280	—	—	—	—	—	4.54	120	63
Travis Driskill R 2002 · 4.95 FIP	30	SP-	4.95	13.2%	8.0%	3.6%	.291	4.26	15.3%	12.0%	48	-0.69	4.26	181	62
Daniel Guerrero R 2016 · 4.81 FIP	31	SP	4.81	12.4%	11.6%	2.3%	.328	4.93	11.7%	2.0%	175	+0.12	4.61	269	62

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	52	17.5%	14.4%	1.23	5.77
Richie Lewis ('98)	1.5	59	18.1%	14.1%	1.38	4.88
Matt Anderson ('05)	1.3	51	19.3%	13.5%	1.05	5.19
Doug Creek ('05)	1.4	58	22.2%	15.1%	1.52	5.32
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*
Dwayne Henry ('84-'95, -1 WAR*)	1.7	67	23.8%*	14.2%*	0.90*	5.02*
Daryl Patterson ('68-'74, -1 WAR*)	1.2	46	18.3%*	11.2%*	1.27*	5.03*