Jonny Farmelo — OGILVIE

Jonny FarmeloOF Everett AquaSox

Age 21 L/R 6'1" / 205 lbs A+ HR +3% Svc 0.0 · Ctrl thru 2034 peak 1.5 · 2031

wRC+†60

AVG/OBP/SLG.207 / .281 / .350

PA125

HR4

K%33

BB%8

MLB%4%

Scouting · now → future

HIT

32↗46

PWR

40↗52

SPD

67↘66

FLD

41↗53

EYE

56↘44

trajectory · 10 yrs

1.5peak

2031

Contract

ESTIMATED · service-time + WAR-based estimator (needs verification)

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2029
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Arb-1	$0.8M	+1.0	$9M	+$8M
2030	Arb-2	$0.9M	+1.3	$12M	+$11M
2031	Arb-3	$0.9M	+1.5	$14M	+$13M
2032	Ext / FA-deal	$3M	+1.5	$14M	+$11M
2033	Ext / FA-deal	$5M	+1.4	$14M	+$9M
2034	Ext / FA-deal	$6M	+1.2	$12M	+$6M
Totals		$16M		$75M	+$58M

Career Projections (MLE)

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2026 = actual YTD + projected ROS + total. 2027+ via Advanced Marcel + aging curve.

Year	Age	Lvl	Team	PA	AB	H	2B	3B	HR	BB	SO	HBP	SB	CS	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
2024	19	A	Modesto Nuts	221	189	38	7	1	4	25	70	5	18	2	.201	.311	.312	.623	.111	.291	32	11	.282	74	-6	+3	+0	-1	+6	0.1
2025	20	A+	2 teams	230	208	32	7	1	7	16	100	4	14	3	.154	.228	.298	.526	.144	.243	43	7	.225	30	-18	+2	+0	-1	+7	-1.2
▸ 2026 Season (actual · ROS · total)
2026	21	A+	Everett AquaSox	81	69	10	2	0	2	10	28	1	2	3	.145	.263	.261	.523	.116	.200	35	12	.255	53	-4	-1	+0	-0	+2	-0.3
ROS	21	MLB	SEA	44	40	7	1	0	1	4	15	0	1	0	.175	.250	.275	.525	.100	.277	34	9	.279	72	-1	+0	-0	-0	+1	-0.0
TOT	21	MLB	SEA	125	109	17	3	0	3	14	43	1	3	3	.156	.258	.266	.524	.110	.219	34	11	.264	60	-6	-1	-0	-1	+4	-0.4
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	22	MLB 15%	SEA	219	191	42	8	1	7	23	57	3	6	3	.220	.313	.382	.696	.162	.267	26	11	.308	94	-1	+0	-0	-1	+6	0.3
2028	23	MLB 31%	SEA	327	285	63	12	1	11	35	83	4	9	4	.221	.315	.386	.701	.165	.270	25	11	.315	100	-0	+0	-0	-2	+9	0.7
2029	24	MLB 48%	SEA	402	351	79	15	2	14	43	100	5	11	5	.225	.318	.399	.717	.174	.271	25	11	.320	103	+1	+0	-0	-2	+11	1.0
2030	25	MLB 62%	SEA	445	388	89	17	2	16	49	110	5	13	5	.229	.324	.407	.731	.178	.273	25	11	.323	106	+3	+1	-0	-3	+13	1.3
2031	26	MLB 79%	SEA	470	409	94	18	2	17	52	116	6	13	5	.230	.325	.408	.734	.178	.273	25	11	.325	107	+4	+1	-0	-3	+13	1.5
2032	27	MLB 94%	SEA	481	418	95	18	2	17	54	119	6	14	6	.227	.324	.402	.726	.175	.273	25	11	.325	107	+4	+0	-0	-3	+14	1.5
2033	28	MLB	SEA	483	419	95	18	2	17	55	121	6	13	5	.227	.325	.401	.726	.174	.272	25	11	.324	106	+3	+1	-1	-3	+14	1.4
2034	29	MLB	SEA	478	416	93	17	2	17	54	121	5	13	5	.224	.320	.397	.717	.173	.272	25	11	.322	104	+2	+1	-2	-3	+14	1.2
2035	30	MLB	SEA	470	409	90	17	2	16	53	120	5	12	5	.220	.317	.389	.706	.169	.270	26	11	.319	102	+1	+0	-3	-3	+13	1.0
2036	31	MLB	SEA	457	397	86	16	2	15	52	119	5	11	5	.217	.315	.380	.695	.164	.268	26	11	.315	99	-0	+0	-3	-3	+13	0.7
2037	32	MLB	SEA	440	382	82	15	2	14	50	117	5	10	4	.215	.314	.374	.688	.160	.267	27	11	.310	96	-2	+0	-4	-3	+12	0.4
2038	33	MLB	SEA	411	358	75	14	1	13	46	112	4	10	4	.209	.306	.363	.670	.154	.265	27	11	.305	91	-4	+0	-5	-2	+12	0.1
2039	34	MLB	SEA	367	319	65	12	1	11	41	103	4	9	4	.204	.302	.351	.653	.147	.263	28	11	.298	86	-6	+0	-5	-2	+10	-0.3
2040	35	MLB	SEA	313	272	55	10	1	9	35	91	3	8	3	.202	.300	.346	.646	.143	.260	29	11	.290	80	-7	+0	-6	-2	+9	-0.6
▸ Career Totals (MLE all levels + projections)
Career	—			6258	5451	1180	222	25	206	687	1674	75	185	68	.216	.313	.380	.692	.163	.270	27	11	.311	96	-29	+10	-31	-38	+177	9.2
/ 162G	—			650	566	123	23	3	21	71	174	8	19	7	.217	.313	.380	.693	.163	.273	27	11	.311	96	-3	+1	-3	-4	+18	1.0

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	PA	AB	H	2B	3B	HR	BB	SO	HBP	SB	CS	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
2024	19	A	Modesto Nuts	221	178	47	10	3	4	36	52	5	18	2	.264	.402	.421	.823	.157	.347	24	16	.371	142	+10	+3	—	—	+6	2.0
2025	20	A+	Everett AquaSox	129	113	26	6	1	6	14	38	1	2	1	.230	.320	.460	.780	.230	.286	29	11	.342	120	+3	+0	—	—	+4	0.7
2025	20	INTL	Peoria Javelinas	101	77	18	4	3	2	20	28	3	12	2	.234	.410	.442	.852	.208	.333	28	20	.381	149	+6	+2	—	—	+3	1.0

Career Path Comps

What happened to players with a similar stat profile at this age · Y-axis: wRC+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

		Scouting				At Match Age									Next 3 Yrs									Peak 3 Yrs
Comp	Age	HIT	PWR	SPD	EYE	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR
Jonny Farmelo (OGILVIE)	21	32→46	40→52	67→66	44	.207/.281/.350	.143	.290	4	3	33%	8%	76	+0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●James Outman 2019 · A	22	40→49	47→60	53→50	39	.203/.260/.335	.132	.285	15	11	34%	6%	63	-0.9	.196/.265/.334	.138	.273	16	13	33%	7%	65	-0.7	.223/.317/.418	.195	.310	25	14	34%	10%	107	+2.0
●Derek Fisher 2016 · A	22	43→51	49→55	54→55	43	.218/.283/.364	.146	.302	18	18	33%	8%	80	+0.4	.227/.297/.381	.154	.320	18	19	33%	9%	90	+1.0	.226/.302/.402	.176	.310	23	18	33%	9%	95	+1.0
●Corbin Carroll 2022 · A	21	48→54	44→60	57→60	46	.229/.300/.355	.126	.326	11	18	31%	9%	84	+0.6	.252/.333/.461	.209	.312	22	31	25%	9%	125	+3.5	.245/.332/.462	.217	.278	24	37	21%	10%	121	+3.5
✕Carlos Jimenez 2023 · A	20	38→41	46→50	53→55	45	.189/.278/.319	.129	.289	14	15	37%	10%	67	-0.5	.210/.289/.331	.121	.326	12	16	36%	9%	74	-0.1	.216/.296/.349	.133	.314	15	19	33%	9%	78	+0.1
✕Akil Baddoo 2021 · A	22	41→51	43→55	55	44	.198/.268/.314	.116	.295	9	14	34%	8%	60	-1.0	.234/.308/.374	.140	.313	14	21	27%	10%	92	+1.2	.232/.314/.375	.143	.300	15	24	26%	11%	91	+0.8
✕Travis Blankenhorn 2018 · A	21	42→43	45→55	54→50	40	.209/.270/.337	.128	.288	12	8	31%	6%	67	-0.5	.208/.259/.341	.133	.291	14	8	32%	5%	63	-0.8	.211/.283/.380	.168	.276	21	6	31%	8%	81	+0.3
●Jazz Chisholm Jr. 2019 · A	21	41→51	49→60	52→60	35	.208/.255/.354	.145	.313	18	11	38%	6%	65	-0.7	.208/.268/.384	.176	.302	22	16	37%	7%	79	+0.3	.248/.322/.446	.198	.304	27	36	27%	9%	113	+2.3
✕Jasson Domínguez 2023 · AA	20	43→53	46→50	56→60	43	.209/.282/.339	.129	.315	13	19	36%	8%	73	-0.1	.236/.308/.376	.140	.328	16	27	30%	9%	93	+1.3	.249/.323/.390	.141	.333	16	33	28%	10%	99	+1.2
●Cedric Mullins 2017 · A	22	42→52	47→55	55→60	39	.215/.247/.354	.139	.261	14	16	24%	4%	61	-1.0	.224/.266/.362	.138	.266	14	16	21%	5%	72	-0.2	.254/.323/.426	.171	.293	19	27	19%	8%	108	+2.3
✕Ceddanne Rafaela 2022 · A	21	42→50	47→55	58→55	39	.214/.256/.353	.139	.265	14	15	25%	4%	65	-0.7	.239/.275/.401	.162	.303	18	22	27%	4%	85	+0.7	.244/.283/.399	.155	.300	17	24	24%	4%	86	+0.7
✕Jarred Kelenic 2019 · A	20	45→55	43→60	57→50	42	.218/.278/.332	.114	.297	9	12	29%	7%	69	-0.4	.225/.282/.404	.179	.286	22	13	29%	7%	90	+1.0	.222/.292/.404	.182	.285	20	15	29%	8%	91	+1.0
●Michael Saunders 2008 · AA	21	48→52	43→55	53→55	44	.229/.295/.345	.116	.329	10	18	32%	8%	79	+0.3	.232/.292/.367	.135	.316	14	15	29%	7%	84	+0.6	.251/.327/.433	.182	.309	19	17	24%	10%	112	+1.9
●Josh Lowe 2021 · AA	23	40→50	47→55	52→60	42	.204/.268/.338	.135	.294	15	19	35%	8%	67	-0.5	.243/.304/.413	.170	.341	19	26	32%	8%	101	+1.8	.255/.314/.435	.180	.350	20	31	31%	8%	108	+1.9
●Jerry Sands 2009 · A	21	37→46	49→60	51→45	45	.195/.277/.339	.144	.267	18	8	33%	9%	72	-0.2	.231/.297/.425	.194	.284	25	6	27%	8%	102	+1.9	.233/.299/.438	.204	.278	26	7	26%	8%	105	+1.8
●Colby Rasmus 2007 · A	20	45→55	46→60	54→50	42	.223/.277/.357	.134	.288	13	15	27%	6%	75	-0.0	.225/.291/.388	.163	.272	19	14	24%	8%	90	+1.0	.237/.305/.454	.217	.309	28	3	32%	8%	109	+1.8
●Coby Mayo 2023 · AA	21	42→46	51→60	52→45	41	.220/.279/.381	.161	.292	20	8	31%	6%	83	+0.6	.228/.303/.416	.188	.302	22	6	31%	8%	102	+1.9	.224/.304/.422	.198	.291	24	4	30%	9%	102	+1.6
●Max Kepler 2014 · A	21	42→52	45→60	53→50	44	.213/.270/.341	.128	.262	12	5	24%	6%	68	-0.5	.232/.291/.368	.136	.281	11	9	20%	7%	84	+0.6	.234/.319/.433	.200	.248	24	4	17%	10%	108	+2.2
●Bo Naylor 2022 · AA	22	34→43	46→55	53→50	39	.181/.240/.306	.126	.262	14	10	36%	7%	46	-2.0	.213/.300/.385	.172	.281	20	13	30%	10%	93	+1.3	.216/.308/.399	.183	.269	22	12	28%	11%	97	+1.2
●Will Benson 2021 · A	23	33→43	50→55	52→55	44	.178/.260/.325	.147	.263	19	13	38%	10%	61	-1.0	.207/.302/.379	.172	.307	19	18	36%	11%	92	+1.2	.221/.322/.401	.180	.313	18	26	32%	12%	102	+1.4
●Trent Grisham 2018 · A	21	41→48	39→60	54→55	48	.194/.279/.284	.090	.292	6	20	33%	10%	58	-1.2	.212/.297/.350	.138	.286	15	15	29%	10%	82	+0.5	.238/.325/.431	.194	.282	22	14	23%	10%	110	+1.9

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)