Dylan Jasso — OGILVIE

Dylan Jasso1B Pensacola Blue Wahoos

Age 23 R/R 6'1" / 208 lbs AA HR -4%BB +3% Svc 0.0 · Ctrl thru 2034

wRC+†52

AVG/OBP/SLG.208 / .270 / .332

PA320

HR7

K%32

BB%6

MLB%2%

Scouting · now → future

HIT

45→45

PWR

45→45

SPD

40→40

EYE

43↘35

trajectory · 10 yrs

-0.8peak

2029

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	—	—	—
2030	Arb-2	$0.9M	—	—	—
2031	Arb-3	$0.9M	—	—	—
2032	Ext / FA-deal	$0.2M	—	—	—
2033	Ext / FA-deal	$0.4M	—	—	—
2034	Ext / FA-deal	$0.6M	—	—	—
Totals		$-10M		$-30M	-$20M

Underwater contract
Projected production over the remaining contract is worth -$20M less than the salary owed. Most often this reflects an aging-curve fade that was visible at signing — the team paid a premium for the early years.

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
2023	20	ROK	2 teams	90	80	19	6	1	0	8	9	2	0	0	.237	.322	.338	.660	.100	.268	10	9	.302	90	-1	+0	+0	-2	+3	-0.0
2024	21	A	3 teams	572	513	91	25	3	10	37	205	12	2	1	.177	.249	.296	.545	.119	.266	36	6	.240	42	-38	+0	+0	-10	+16	-3.2
2025	22	AA	Somerset Patriots	537	490	109	14	5	11	30	170	10	1	2	.222	.281	.339	.620	.116	.310	32	6	.270	65	-21	-1	+0	-10	+15	-1.7
▸ 2026 Season (actual · ROS · total)
2026	23	AA	Pensacola Blue Wahoos	43	38	5	0	1	1	3	21	0	0	0	.132	.195	.263	.458	.132	.222	49	7	.178	-6	-5	+0	+0	-1	+1	-0.5
ROS	23	MLB	MIA	277	253	51	9	2	6	18	93	4	2	1	.202	.265	.324	.590	.123	.287	34	6	.265	61	-12	+0	+0	-5	+8	-0.9
TOT	23	MLB	MIA	320	291	56	9	3	7	21	114	4	2	1	.192	.256	.316	.572	.124	.283	36	7	.253	52	-17	+0	+0	-6	+9	-1.4
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	24	MLB 11%	MIA	511	463	96	16	4	12	36	142	7	4	2	.207	.275	.337	.612	.130	.269	28	7	.277	70	-17	+0	+0	-9	+14	-1.2
2028	25	MLB 26%	MIA	540	488	104	18	4	14	40	147	7	5	2	.213	.282	.352	.635	.139	.272	27	7	.283	75	-15	+0	+0	-10	+15	-1.0
2029	26	MLB 44%	MIA	556	502	107	18	4	15	42	150	7	5	2	.213	.283	.355	.638	.141	.273	27	8	.287	78	-14	+0	+0	-10	+16	-0.8
2030	27	MLB 59%	MIA	562	506	109	19	4	15	44	152	7	6	2	.215	.287	.358	.645	.142	.274	27	8	.288	79	-14	+0	+0	-10	+16	-0.7
2031	28	MLB 69%	MIA	561	505	109	19	4	15	44	153	7	5	2	.216	.288	.358	.646	.143	.273	27	8	.287	78	-14	+0	-1	-10	+16	-0.9
2032	29	MLB 77%	MIA	553	497	105	18	4	14	44	152	7	5	2	.211	.285	.348	.633	.137	.272	27	8	.285	76	-15	+0	-1	-10	+16	-1.0
2033	30	MLB 85%	MIA	544	489	104	18	4	14	43	152	7	4	2	.213	.286	.352	.637	.139	.271	28	8	.282	74	-16	+0	-2	-10	+15	-1.3
2034	31	MLB 91%	MIA	531	477	100	17	4	13	42	150	7	3	2	.210	.283	.344	.627	.134	.269	28	8	.278	71	-17	-0	-3	-9	+15	-1.5
2035	32	MLB	MIA	513	462	94	16	3	12	40	148	6	2	2	.203	.276	.329	.605	.126	.268	29	8	.273	67	-19	-0	-4	-9	+15	-1.8
2036	33	MLB	MIA	484	437	88	15	3	11	38	143	6	1	4	.201	.274	.325	.599	.124	.266	30	8	.268	63	-20	-1	-4	-9	+14	-2.1
2037	34	MLB	MIA	437	395	77	13	3	9	34	133	5	1	9	.195	.267	.311	.579	.116	.264	30	8	.262	58	-21	-3	-5	-8	+12	-2.5
▸ Career Totals (MLE all levels + projections)
Career	—			7268	6557	1363	241	52	171	540	2099	101	46	35	.208	.278	.339	.617	.131	.275	29	7	.275	69	-255	-5	-20	-130	+206	-20.7
/ 162G	—			650	586	122	22	5	15	48	188	9	4	3	.208	.278	.340	.618	.131	.276	29	7	.275	69	-23	-0	-2	-12	+18	-1.8

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
2023	20	A	Tampa Tarpons	16	14	1	1	0	0	2	1	0	0	0	.071	.188	.143	.330	.071	.077	6	12	.167	-14	-2	+0	—	—	+0	-0.2
2023	20	ROK	FCL Yankees	74	61	23	7	1	1	11	5	2	0	0	.377	.486	.574	1.060	.197	.400	7	15	.466	215	+10	+0	—	—	+2	1.2
2024	21	A+	Hudson Valley Renegades	109	97	25	8	1	2	10	25	0	0	0	.258	.327	.423	.750	.165	.319	23	9	.327	109	+1	+0	—	—	+3	0.4
2024	21	A	Tampa Tarpons	399	344	82	22	2	9	40	99	10	2	0	.238	.335	.392	.727	.154	.303	25	10	.325	107	+3	+0	—	—	+11	1.5
2024	21	INTL	Naranjeros de Hermosillo	64	50	6	2	0	0	9	11	2	0	1	.120	.279	.160	.439	.040	.154	17	14	.218	25	-5	-0	—	—	+2	-0.4
2025	22	AA	Somerset Patriots	537	478	123	17	6	13	42	130	10	1	2	.257	.330	.400	.730	.142	.322	24	8	.324	106	+4	-1	—	—	+15	1.9

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
Dylan Jasso (OGILVIE)	23	45	45	40	35	.208/.270/.332	.124	.291	7	2	32%	6%	66	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Joey Curletta 2017 · AA	23	40→49	45→55	41→45	38	.200/.251/.320	.120	.291	13	4	35%	6%	55	-1.4	.203/.267/.352	.149	.295	18	5	36%	8%	70	-0.3	.197/.267/.342	.145	.278	19	5	35%	8%	68	-0.4
✕Dustin Geiger 2015 · AA	23	42→47	48→50	41→40	42	.214/.272/.350	.137	.278	16	4	29%	6%	72	-0.2	.200/.260/.322	.122	.283	13	5	32%	7%	59	-1.1	.167/.233/.287	.119	.253	14	1	38%	7%	37	-1.2
✕Johermyn Chavez 2012 · AA	23	42→47	49→50	40→45	39	.217/.273/.361	.144	.286	17	6	30%	6%	76	+0.0	.208/.273/.335	.127	.280	14	5	30%	7%	69	-0.4	.203/.275/.331	.128	.268	16	2	29%	7%	67	-0.2
✕Trevor Mitsui 2016 · A	23	47→53	46→50	43→30	37	.233/.279/.362	.129	.315	14	4	30%	4%	78	+0.2	.240/.275/.330	.090	.328	7	2	28%	4%	66	-0.6	.251/.281/.334	.083	.340	6	0	27%	3%	66	-0.5
✕Chris Errecart 2009 · AA	24	45→46	47→50	39→40	38	.224/.281/.361	.137	.301	15	3	30%	5%	79	+0.3	.209/.261/.335	.126	.295	12	5	32%	5%	63	-0.8	.194/.243/.315	.121	.274	10	4	32%	4%	48	-0.9
✕Leandro Cedeño 2022 · AA	23	42→48	43→50	44→40	33	.207/.249/.315	.108	.309	11	4	36%	4%	52	-1.6	.239/.285/.405	.166	.323	23	4	32%	5%	92	+1.2	.252/.298/.441	.189	.320	29	1	30%	5%	105	+1.8
✕Quincy Latimore 2012 · AA	23	40→42	46→50	44→50	34	.204/.249/.336	.132	.288	14	6	34%	4%	58	-1.2	.210/.262/.339	.129	.285	14	10	31%	6%	65	-0.7	.217/.269/.354	.137	.281	15	10	28%	6%	68	-0.3
✕Sandro Fabian 2021 · A	23	39→45	44→55	45	38	.198/.254/.311	.113	.271	13	5	31%	5%	54	-1.4	.226/.268/.393	.167	.263	22	4	23%	4%	82	+0.5	.223/.272/.390	.167	.250	20	4	20%	5%	79	+0.2
✕Eric Wagaman 2021 · A	23	38→48	42→50	41→45	36	.193/.236/.291	.098	.285	10	6	35%	5%	40	-2.4	.203/.263/.331	.128	.273	15	7	30%	7%	63	-0.8	.241/.289/.388	.147	.287	15	11	22%	6%	85	+0.5
✕Clint Coulter 2017 · AA	24	42→43	45→50	42→40	43	.212/.279/.337	.125	.265	13	4	25%	6%	72	-0.2	.203/.260/.326	.123	.282	12	4	31%	5%	60	-1.0	.205/.273/.359	.153	.249	19	4	25%	5%	71	-0.1
✕Curt Smith 2010 · AA	23	50→49	45→50	40	37	.246/.278/.367	.120	.305	13	4	24%	3%	78	+0.2	.234/.268/.361	.127	.293	13	4	24%	4%	72	-0.2	.221/.260/.359	.137	.281	15	3	27%	4%	66	-0.3
✕Hunter Cole 2017 · AA	24	48→51	45→50	42→40	38	.236/.276/.360	.124	.313	12	5	28%	5%	75	-0.0	.232/.280/.367	.135	.318	14	4	30%	6%	79	+0.3	.231/.283/.373	.142	.319	16	2	31%	7%	80	+0.2
✕Cal Mitchell 2022 · AAA	23	44→53	46→50	40→50	37	.221/.262/.345	.124	.293	14	6	30%	4%	66	-0.6	.238/.288/.376	.138	.299	15	11	25%	6%	85	+0.7	.228/.285/.370	.142	.291	16	12	27%	7%	79	+0.2
●Kody Hinze 2011 · A	24	41→46	46→50	38→30	42	.206/.270/.333	.127	.284	14	2	32%	7%	66	-0.6	.221/.292/.378	.157	.294	20	2	31%	9%	87	+0.8	.216/.293/.381	.166	.276	24	1	30%	9%	86	+0.6
✕Chris Marrero 2011 · AA	23	48→52	47→50	37→30	41	.242/.288/.378	.135	.306	16	2	26%	5%	85	+0.7	.246/.293/.360	.114	.305	12	3	23%	6%	82	+0.5	.231/.272/.383	.153	.269	18	0	22%	5%	78	+0.1
✕Stefan Trosclair 2017 · A	23	44→43	44→50	45→50	42	.218/.283/.330	.112	.277	12	6	25%	6%	71	-0.3	.215/.286/.346	.131	.291	14	7	30%	7%	77	+0.1	.207/.281/.343	.135	.284	15	7	31%	7%	72	-0.1
✕J.T. Restko 2008 · A	23	47→50	43→45	43→30	41	.229/.288/.337	.107	.299	11	2	26%	6%	75	-0.0	.220/.272/.322	.102	.303	10	4	29%	5%	64	-0.8	.210/.258/.307	.097	.296	12	2	32%	5%	50	-0.8
✕Jerar Encarnacion 2021 · A	23	42→45	44→55	45	36	.207/.251/.317	.109	.301	12	6	35%	5%	53	-1.5	.209/.266/.354	.145	.336	19	7	41%	7%	70	-0.3	.223/.287/.396	.173	.327	26	6	38%	8%	87	+0.6
✕David Winfree 2009 · AA	23	44→49	49→50	44→40	40	.227/.267/.377	.150	.279	17	3	26%	5%	76	+0.1	.230/.269/.377	.147	.278	16	5	23%	5%	77	+0.1	.230/.270/.377	.147	.273	17	6	22%	4%	75	+0.0
✕Chase McDonald 2015 · A	23	43	47→55	45→30	41	.214/.278/.347	.133	.307	15	3	34%	7%	73	-0.1	.210/.268/.378	.168	.298	22	3	36%	7%	78	+0.2	.197/.255/.372	.175	.268	25	1	36%	7%	67	-0.4

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)