Jadher Areinamo — OGILVIE

Jadher Areinamo2B Montgomery Biscuits

INJURED · Reassigned to Minors (RM)

Age 22 R/R 5'9" / 160 lbs AA Svc 0.0 · Ctrl thru 2034 peak 2.1 · 2030

wRC+†69

AVG/OBP/SLG.242 / .288 / .358

PA230

HR4

SB5

K%16

BB%5

MLB%40%

Scouting · now → future

HIT

57→57

PWR

42→42

SPD

45→45

FLD

57→57

EYE

40↗45

trajectory · 10 yrs

1.8peak

2030

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	+1.9	$17M	+$16M
2030	Arb-2	$0.9M	+2.1	$19M	+$18M
2031	Arb-3	$0.9M	+2.1	$19M	+$19M
2032	Ext / FA-deal	$4M	+2.0	$19M	+$15M
2033	Ext / FA-deal	$6M	+1.7	$17M	+$11M
2034	Ext / FA-deal	$7M	+1.5	$15M	+$8M
Totals		$20M		$106M	+$86M

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
2021	17	ROK	DSL Brewers 2	175	159	32	5	1	0	10	34	5	5	4	.201	.270	.245	.515	.044	.254	19	6	.233	37	-13	-1	+0	+1	+5	-0.8
2022	18	ROK	3 teams	285	261	61	9	2	1	17	58	5	6	5	.234	.293	.295	.588	.061	.294	20	6	.263	60	-13	-1	+0	+1	+8	-0.5
2023	19	A	Carolina Mudcats	420	403	100	19	1	3	10	74	2	16	5	.248	.270	.323	.592	.074	.293	18	2	.260	57	-20	+1	+0	+1	+12	-0.6
2024	20	A+	Wisconsin Timber Rattlers	467	435	114	25	0	8	23	67	2	32	8	.262	.302	.375	.677	.113	.289	14	5	.296	85	-8	+3	+0	+2	+13	1.0
2025	21	A+	3 teams	737	672	159	34	2	15	42	113	8	26	9	.237	.289	.360	.650	.124	.258	15	6	.284	75	-20	+2	+0	+3	+21	0.5
▸ 2026 Season (actual · ROS · total)
2026	22	AA	Montgomery Biscuits	31	30	4	0	0	2	1	15	0	0	0	.133	.161	.333	.495	.200	.154	48	3	.224	30	-2	+0	+0	+0	+1	-0.2
ROS	22	MLB	TB	199	186	44	9	1	4	10	36	1	5	2	.237	.279	.360	.639	.124	.269	18	5	.284	76	-5	+0	+1	+1	+6	0.2
TOT	22	MLB	TB	230	216	48	9	1	6	11	51	1	5	2	.222	.263	.356	.620	.134	.263	22	5	.276	69	-8	+0	+1	+1	+7	0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	23	MLB 58%	TB	592	548	132	27	2	14	35	89	4	16	5	.241	.291	.374	.665	.133	.262	15	6	.294	83	-11	+1	+3	+2	+17	1.2
2028	24	MLB 76%	TB	632	583	142	29	2	16	40	96	4	18	5	.244	.297	.383	.679	.139	.264	15	6	.300	88	-9	+2	+3	+2	+18	1.6
2029	25	MLB 91%	TB	655	601	147	30	2	17	44	101	5	18	5	.245	.302	.386	.688	.141	.266	15	7	.305	91	-6	+2	+3	+2	+19	1.9
2030	26	MLB	TB	667	611	150	30	2	18	46	104	5	18	5	.245	.304	.390	.693	.144	.267	16	7	.307	93	-5	+2	+3	+2	+19	2.1
2031	27	MLB	TB	670	613	150	30	2	18	47	105	5	18	5	.245	.304	.388	.692	.144	.267	16	7	.307	93	-5	+2	+3	+2	+19	2.1
2032	28	MLB	TB	668	611	148	30	2	17	47	106	5	17	4	.242	.302	.381	.683	.139	.267	16	7	.306	92	-6	+2	+2	+2	+19	2.0
2033	29	MLB	TB	659	602	145	29	2	17	47	107	5	15	4	.241	.301	.380	.682	.140	.266	16	7	.304	91	-7	+1	+1	+2	+19	1.7
2034	30	MLB	TB	649	593	143	29	2	16	46	107	5	14	3	.241	.301	.378	.679	.137	.265	16	7	.301	89	-8	+2	+1	+2	+18	1.5
2035	31	MLB	TB	636	582	138	28	2	15	45	108	4	10	2	.237	.296	.369	.666	.132	.264	17	7	.298	86	-10	+1	-0	+2	+18	1.2
2036	32	MLB	TB	617	564	131	26	1	14	44	108	4	7	1	.232	.292	.356	.649	.124	.263	18	7	.293	83	-12	+1	-1	+2	+17	0.8
2037	33	MLB	TB	588	538	124	25	1	13	41	107	4	5	0	.230	.290	.353	.643	.123	.262	18	7	.288	79	-14	+1	-2	+2	+17	0.4
2038	34	MLB	TB	539	493	111	22	1	11	38	102	3	3	0	.225	.285	.341	.625	.116	.261	19	7	.282	74	-16	+1	-3	+2	+15	-0.1
▸ Career Totals (MLE all levels + projections)
Career	—			9855	9055	2171	436	28	217	632	1622	76	249	72	.240	.295	.366	.661	.126	.268	16	6	.294	83	-190	+21	+14	+35	+279	16.3
/ 162G	—			650	597	143	29	2	14	42	107	5	16	5	.240	.295	.365	.660	.126	.269	16	6	.294	83	-13	+1	+1	+2	+18	1.1

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
2021	17	ROK	DSL Brewers 2	175	152	42	7	2	0	17	22	5	5	4	.276	.368	.349	.717	.072	.321	13	10	.329	110	+2	-1	—	—	+5	0.6
2022	18	A+	Wisconsin Timber Rattlers	26	26	2	1	0	0	0	8	0	0	0	.077	.077	.115	.192	.038	.111	31	0	.084	-77	-5	+0	—	—	+1	-0.5
2022	18	A	Carolina Mudcats	110	97	29	2	0	0	9	14	3	2	1	.299	.376	.320	.696	.021	.345	13	8	.323	105	+1	+0	—	—	+3	0.4
2022	18	ROK	ACL Brewers Gold	149	127	41	10	3	1	19	19	2	4	4	.323	.419	.472	.891	.150	.370	13	13	.395	161	+10	-1	—	—	+4	1.4
2023	19	A	Carolina Mudcats	420	396	121	26	1	4	17	52	2	16	5	.306	.337	.407	.744	.101	.339	12	4	.329	110	+5	+1	—	—	+12	1.8
2024	20	A+	Wisconsin Timber Rattlers	467	425	128	30	0	10	33	52	2	32	8	.301	.354	.442	.797	.141	.319	11	7	.350	126	+14	+3	—	—	+13	3.1
2025	21	AA	Montgomery Biscuits	159	141	36	8	0	4	12	19	2	6	0	.255	.321	.397	.718	.142	.264	12	8	.315	100	-0	+1	—	—	+5	0.6
2025	21	A+	Wisconsin Timber Rattlers	415	367	109	24	2	11	34	48	4	15	8	.297	.362	.463	.825	.166	.309	12	8	.358	132	+15	-0	—	—	+12	2.7
2025	21	INTL	Tiburones de La Guaira	163	143	52	6	1	13	14	20	2	5	1	.364	.425	.692	1.117	.329	.345	12	9	.470	218	+22	+1	—	—	+5	2.7

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
Jadher Areinamo (OGILVIE)	22	57	42	45	45	.242/.288/.358	.116	.273	4	7	16%	5%	80	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Henry Alejandro Rodriguez 2012 · AA	22	53→61	44→45	51→55	42	.259/.290/.378	.118	.300	11	19	18%	4%	85	+0.7	.249/.280/.334	.085	.296	7	12	18%	4%	69	-0.4	.271/.303/.378	.106	.308	12	11	16%	4%	90	+0.7
✕Alberto Carreon 2010 · AAA	22	45→55	46→45	44→50	45	.224/.286/.350	.126	.253	13	11	18%	6%	78	+0.2	.229/.279/.309	.080	.281	6	9	20%	4%	63	-0.9	.259/.315/.367	.107	.326	9	11	22%	5%	89	+0.6
●Ramón Urías 2016 · AAA	22	53→61	43→50	45→50	43	.258/.307/.368	.111	.301	11	12	18%	4%	91	+1.1	.259/.324/.390	.131	.310	13	12	20%	5%	104	+2.0	.258/.330/.410	.151	.312	16	10	21%	6%	108	+1.2
●Chin-Lung Hu 2007 · AA	23	53→61	40→45	49→50	46	.254/.294/.346	.092	.285	7	12	14%	5%	79	+0.3	.259/.293/.370	.111	.292	9	11	14%	4%	84	+0.6	.266/.297/.377	.110	.298	8	11	13%	4%	82	+0.4
●José Fermín 2022 · AA	23	47→51	42→45	47→55	48	.229/.286/.326	.098	.253	10	12	14%	6%	71	-0.3	.216/.296/.328	.112	.240	12	13	15%	8%	76	+0.1	.241/.336/.380	.139	.254	14	26	11%	10%	103	+0.9
✕Brandon Douglas 2009 · AA	23	51→56	45→40	49→50	45	.251/.292/.373	.123	.278	13	11	16%	5%	85	+0.7	.270/.314/.343	.073	.311	3	11	13%	5%	85	+0.7	.277/.318/.346	.069	.321	1	14	13%	4%	84	+0.4
✕Johnny Giavotella 2009 · A	22	50→59	41→45	46→50	47	.242/.288/.342	.100	.277	7	10	16%	6%	75	-0.0	.249/.300/.352	.103	.287	7	13	15%	6%	82	+0.5	.273/.320/.378	.104	.314	8	10	15%	6%	94	+1.4
✕Thairo Estrada 2018 · AA	22	55→61	40→50	43→55	45	.266/.308/.358	.092	.306	8	10	16%	5%	87	+0.8	.237/.278/.344	.107	.288	10	10	21%	4%	72	-0.2	.270/.326/.420	.150	.314	17	21	19%	5%	108	+1.8
✕Otto Lopez 2021 · A	22	53→59	39→45	47→55	44	.252/.291/.338	.086	.301	5	12	18%	5%	75	-0.0	.258/.307/.352	.094	.325	5	17	21%	6%	85	+0.7	.266/.318/.393	.127	.299	13	20	16%	7%	97	+1.0
✕James Tomlin 2006 · AA	23	51→61	41→40	47→50	45	.248/.288/.351	.103	.290	8	12	18%	5%	77	+0.1	.250/.287/.345	.095	.295	5	12	16%	5%	75	-0.0	.267/.318/.352	.085	.327	2	16	18%	6%	86	+0.6
✕Luis Santana 2021 · AA	22	51	39→45	47→50	49	.240/.311/.329	.088	.285	7	8	18%	7%	82	+0.5	.212/.270/.330	.118	.280	12	9	28%	5%	66	-0.6	.212/.267/.344	.132	.272	16	8	27%	5%	64	-0.4
●Jamie Westbrook 2017 · AA	22	48→52	43→55	47→45	42	.233/.271/.342	.109	.272	10	9	19%	4%	68	-0.5	.237/.275/.367	.130	.270	14	6	18%	4%	77	+0.1	.245/.316/.386	.141	.288	15	4	20%	8%	96	+1.1
●Ke'Bryan Hayes 2019 · AA	22	50→54	41→50	52→50	46	.238/.295/.341	.103	.299	7	14	22%	7%	78	+0.2	.244/.303/.376	.132	.304	11	12	22%	7%	91	+1.1	.256/.313/.394	.138	.313	12	16	21%	7%	95	+1.2
✕Orlando Arcia 2016 · AA	21	53→57	40→50	53→55	44	.252/.289/.357	.105	.294	6	18	16%	5%	79	+0.3	.244/.285/.354	.110	.298	10	17	21%	5%	77	+0.1	.240/.301/.397	.156	.268	20	3	19%	8%	92	+0.8
✕Enrique Osorio 2007 · AAA	22	46→56	40→45	47→50	49	.221/.301/.314	.093	.264	8	14	19%	8%	75	-0.0	.216/.273/.288	.072	.266	6	14	20%	6%	55	-1.4	.272/.329/.400	.129	.301	14	10	15%	6%	105	+1.1
✕Diego Madero 2015 · AAA	23	50→51	41→45	48→50	43	.243/.281/.343	.101	.281	9	13	17%	4%	72	-0.2	.246/.281/.336	.090	.283	7	15	15%	4%	70	-0.3	.253/.296/.353	.099	.286	10	17	15%	5%	77	+0.1
●Kolten Wong 2013 · AA	22	52→60	42→50	50→55	46	.250/.296/.356	.106	.286	8	15	16%	5%	82	+0.5	.254/.301/.373	.119	.292	11	20	17%	5%	89	+0.9	.270/.354/.410	.140	.305	12	16	15%	9%	112	+2.0
✕Tyler Pastornicky 2013 · MLB	23	52→61	41→45	52→60	47	.251/.295/.353	.102	.287	8	19	16%	6%	80	+0.4	.250/.291/.334	.084	.294	6	12	16%	5%	74	-0.1	.253/.295/.319	.066	.297	4	10	16%	5%	67	-0.3
✕Asael Sanchez 2016 · AAA	22	52	44→45	50→45	42	.256/.294/.370	.114	.305	11	13	20%	5%	85	+0.7	.260/.301/.388	.128	.315	12	9	21%	5%	92	+1.2	.271/.314/.394	.123	.340	12	6	23%	5%	94	+0.5
●Luis Juarez 2012 · AAA	22	48→57	48→50	47→40	43	.243/.280/.381	.139	.269	16	10	17%	4%	82	+0.5	.241/.280/.361	.120	.276	12	7	17%	4%	77	+0.1	.266/.314/.399	.133	.283	16	3	12%	6%	99	+1.1

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)