Edgardo Ordonez — OGILVIE

Edgardo OrdonezC Carolina Mudcats

Age 22 L/R 5'11" / 155 lbs A BB +10%HR +7% Svc 0.0 · Ctrl thru 2036 peak 1.8 · 2031

wRC+†70

AVG/OBP/SLG.201 / .281 / .327

PA91

HR2

K%32

BB%9

MLB%0%

Scouting · now → future

HIT

20↗25

PWR

48↗53

SPD

42↗47

EYE

61↗66

trajectory · 10 yrs

1.8peak

2031

Contract

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2031
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Arb-3	$0.9M	+1.8	$17M	+$16M
2032	Ext / FA-deal	$0.9M	+1.8	$17M	+$16M
2033	Ext / FA-deal	$1.0M	+1.6	$16M	+$15M
2034	Ext / FA-deal	$3M	+1.4	$14M	+$12M
2035	Ext / FA-deal	$4M	+1.1	$11M	+$8M
2036	Ext / FA-deal	$3M	+0.8	$4M	+$0.8M
Totals		$13M		$80M	+$67M

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 1	103	89	18	6	1	0	9	32	5	3	1	.202	.311	.292	.603	.090	.316	31	9	.263	59	-5	+0	+0	+2	+3	0.0
2022	18	ROK	DSL Brewers 1	120	107	20	4	0	1	11	41	1	1	0	.187	.269	.252	.521	.065	.288	34	9	.243	44	-8	+0	+0	+2	+3	-0.2
2023	19	ROK	ACL Brewers	99	86	13	5	0	1	11	48	0	2	2	.151	.247	.244	.492	.093	.308	48	11	.228	33	-8	-0	+0	+2	+3	-0.3
2024	20	ROK	ACL Brewers	125	111	20	1	0	5	13	50	0	0	1	.180	.266	.324	.590	.144	.263	40	10	.267	63	-5	-0	+0	+2	+4	0.0
2025	21	A	Carolina Mudcats	83	70	7	1	0	1	11	36	1	0	0	.100	.232	.157	.389	.057	.176	43	13	.196	8	-9	+0	+0	+1	+2	-0.5
▸ 2026 Season
2026	22	MLB	MIL	91	82	16	3	0	2	8	29	1	1	0	.195	.275	.305	.580	.110	.282	32	9	.277	70	-3	+0	+0	+2	+3	0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	23	MLB 11%	MIL	181	160	34	6	1	5	17	55	2	3	1	.212	.296	.356	.652	.144	.285	30	9	.292	81	-4	+0	+0	+3	+5	0.5
2028	24	MLB 26%	MIL	293	260	57	10	2	9	28	87	3	5	1	.219	.302	.377	.679	.158	.286	30	10	.300	88	-4	+1	+0	+5	+8	1.0
2029	25	MLB 43%	MIL	361	319	70	12	2	11	35	105	4	6	1	.219	.304	.373	.678	.154	.288	29	10	.306	92	-3	+1	+0	+6	+10	1.5
2030	26	MLB 58%	MIL	406	359	80	14	2	13	40	117	4	7	2	.223	.308	.382	.689	.159	.289	29	10	.309	95	-2	+1	+0	+7	+12	1.7
2031	27	MLB 76%	MIL	427	377	84	15	2	14	43	124	4	7	2	.223	.309	.385	.694	.162	.289	29	10	.309	95	-3	+1	+0	+8	+12	1.8
2032	28	MLB 84%	MIL	437	386	85	15	2	14	44	128	4	7	1	.220	.306	.378	.685	.158	.288	29	10	.308	94	-3	+1	-1	+8	+12	1.8
2033	29	MLB 90%	MIL	435	384	84	15	2	14	44	128	4	7	1	.219	.306	.378	.683	.159	.287	29	10	.306	92	-4	+1	-1	+8	+12	1.6
2034	30	MLB	MIL	431	380	82	14	2	13	44	129	4	6	1	.216	.304	.366	.670	.150	.286	30	10	.303	90	-5	+1	-2	+8	+12	1.4
2035	31	MLB	MIL	407	359	76	13	2	12	41	123	4	5	0	.212	.300	.359	.659	.148	.284	30	10	.299	87	-6	+1	-3	+7	+12	1.1
2036	32	MLB	MIL	380	335	70	12	2	11	39	117	3	4	0	.209	.297	.355	.652	.146	.282	31	10	.294	83	-7	+1	-4	+7	+11	0.8
2037	33	MLB	MIL	341	301	62	11	2	9	34	107	3	4	0	.206	.293	.346	.638	.140	.281	31	10	.289	79	-8	+1	-4	+6	+10	0.4
2038	34	MLB	MIL	291	258	52	9	1	8	29	94	2	3	0	.202	.287	.337	.624	.136	.279	32	10	.282	74	-8	+1	-5	+5	+8	0.1
2039	35	MLB	MIL	237	209	41	7	1	6	24	79	2	3	0	.196	.285	.325	.610	.129	.276	33	10	.275	68	-8	+1	-6	+4	+7	-0.3
2040	36	MLB	MIL	183	162	31	5	1	4	18	63	1	2	0	.191	.276	.309	.585	.117	.273	34	10	.266	62	-8	+0	-6	+3	+5	-0.6
▸ Career Totals (MLE all levels + projections)
Career	—			5431	4794	1002	178	25	153	543	1692	52	76	14	.209	.296	.352	.649	.143	.285	31	10	.292	82	-110	+10	-31	+97	+154	12.1
/ 162G	—			650	574	119	21	3	18	65	203	6	9	2	.207	.295	.348	.643	.141	.284	31	10	.292	82	-13	+1	-4	+12	+18	1.4

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 1	103	84	25	10	1	0	14	20	5	3	1	.298	.427	.440	.868	.143	.391	19	14	.394	160	+7	+0	—	—	+3	1.0
2022	18	ROK	DSL Brewers 1	120	100	29	6	0	2	18	27	1	1	0	.290	.403	.410	.813	.120	.375	22	15	.368	140	+5	+0	—	—	+3	0.9
2023	19	ROK	ACL Brewers	99	79	20	8	0	1	18	31	0	2	2	.253	.392	.392	.784	.139	.388	31	18	.352	128	+3	-0	—	—	+3	0.6
2024	20	ROK	ACL Brewers	125	103	28	2	0	7	21	35	0	0	1	.272	.395	.495	.890	.223	.339	28	17	.392	158	+8	-0	—	—	+4	1.2
2025	21	A	Carolina Mudcats	83	64	9	2	0	1	17	26	1	0	0	.141	.329	.219	.548	.078	.211	31	20	.273	67	-3	+0	—	—	+2	-0.1

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
Edgardo Ordonez (OGILVIE)	22	20→25	48→53	42→47	66	.201/.281/.327	.126	.282	2	1	32%	9%	70	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Isan Díaz 2018 · A	22	40	47→55	45	43	.203/.272/.335	.133	.289	14	8	34%	8%	68	-0.5	.205/.274/.346	.141	.290	16	8	33%	8%	72	-0.2	.204/.284/.367	.164	.263	21	5	30%	9%	75	+0.0
●Bo Naylor 2021 · A	21	41→43	44→55	50	43	.203/.259/.325	.122	.273	11	7	29%	7%	59	-1.1	.199/.278/.352	.153	.276	18	12	33%	9%	75	-0.0	.216/.308/.399	.183	.269	22	12	28%	11%	97	+1.2
✕Randy Florentino 2021 · A	21	43	41→50	42→45	48	.206/.286/.310	.104	.297	8	6	31%	10%	67	-0.5	.180/.241/.263	.083	.269	8	5	34%	7%	36	-2.7	.183/.230/.260	.077	.238	8	4	26%	5%	28	-1.0
✕Christopher Familia 2023 · A	23	40	45→55	47→45	45	.204/.281/.326	.122	.262	13	8	27%	7%	70	-0.3	.219/.278/.391	.172	.284	22	4	30%	6%	85	+0.7	.215/.266/.411	.196	.270	28	0	32%	5%	81	+0.2
✕Drew Robinson 2014 · A	22	43→41	44→55	49→50	45	.206/.285/.324	.118	.300	10	8	33%	9%	71	-0.3	.189/.264/.329	.140	.281	15	11	36%	9%	63	-0.8	.207/.288/.362	.155	.320	17	12	37%	10%	78	+0.1
✕Darrien Miller 2023 · A	22	40	48→45	50→45	49	.202/.310/.335	.133	.267	16	7	29%	10%	85	+0.7	.189/.295/.292	.103	.258	9	6	28%	9%	69	-0.4	.170/.289/.257	.087	.241	7	4	29%	10%	56	-0.8
✕Marcus Greene Jr. 2017 · A	22	35	46→50	45→40	40	.185/.251/.313	.128	.265	15	5	35%	7%	53	-1.5	.209/.268/.329	.120	.279	13	4	28%	7%	65	-0.7	.211/.271/.321	.110	.275	12	2	27%	7%	61	-0.4
✕Jace Jung 2023 · A	22	45→42	39→55	50→40	50	.212/.293/.305	.093	.295	6	8	28%	10%	69	-0.4	.219/.303/.384	.165	.289	20	4	29%	10%	94	+1.3	.212/.303/.382	.169	.274	21	3	29%	11%	91	+1.0
✕Daniel Vellojin 2023 · AA	23	40	46→45	42→45	52	.200/.296/.328	.127	.281	14	6	32%	12%	76	+0.1	.179/.260/.279	.100	.257	10	6	32%	9%	49	-1.8	.150/.230/.230	.080	.212	8	4	32%	9%	21	-1.6
✕Johnny Monell 2008 · A	22	44	43→50	44→45	47	.214/.288/.327	.113	.283	10	8	27%	8%	72	-0.2	.229/.290/.359	.130	.285	12	8	23%	7%	81	+0.4	.216/.285/.360	.143	.285	15	3	28%	8%	78	+0.2
✕Omar Martinez 2023 · A	22	41→38	43→45	42→40	46	.202/.287/.312	.110	.290	11	5	32%	9%	69	-0.4	.196/.277/.322	.126	.291	15	5	35%	9%	67	-0.5	.180/.261/.303	.123	.268	16	3	37%	9%	53	-1.1
✕Zack Collins 2017 · A	22	46→42	46→50	47→40	48	.216/.304/.347	.131	.336	14	6	37%	11%	85	+0.7	.190/.285/.334	.144	.301	16	3	38%	11%	74	-0.1	.196/.301/.351	.156	.289	18	2	35%	13%	83	+0.4
✕Max Stassi 2013 · A	22	41→43	47→55	43→40	40	.210/.270/.343	.133	.290	15	4	32%	6%	69	-0.4	.216/.264/.358	.142	.286	17	3	30%	5%	70	-0.3	.208/.295/.359	.151	.271	20	0	30%	10%	81	+0.2
✕Kevin Padlo 2018 · A	22	36→40	45→55	44→50	48	.184/.270/.312	.128	.257	13	8	32%	10%	62	-0.9	.195/.278/.343	.148	.287	15	8	35%	9%	73	-0.1	.191/.263/.361	.170	.260	21	12	35%	8%	69	-0.3
✕Eric Haase 2015 · A	22	39→41	48→65	42→40	38	.201/.253/.347	.146	.286	16	3	35%	6%	63	-0.9	.194/.252/.355	.161	.294	18	4	39%	6%	65	-0.7	.218/.277/.437	.219	.284	32	2	35%	7%	94	+0.9
✕Michael Pérez 2015 · A	22	37	44→50	41→40	40	.184/.249/.302	.119	.288	11	3	38%	8%	50	-1.8	.193/.252/.290	.097	.268	8	4	29%	7%	47	-1.9	.224/.284/.351	.127	.286	14	0	26%	7%	75	-0.0
✕Nicky Delmonico 2014 · A	22	39→47	49→55	48→45	46	.202/.276/.345	.143	.261	17	8	29%	8%	72	-0.2	.215/.272/.359	.144	.291	15	6	30%	7%	74	-0.1	.233/.301/.393	.161	.284	18	4	24%	8%	92	+0.9
✕Ryan Costello 2018 · A	22	46→39	49→50	50→30	44	.228/.293/.383	.155	.317	16	6	32%	8%	89	+0.9	.206/.281/.352	.146	.278	16	3	30%	9%	76	+0.1	.189/.271/.333	.144	.252	17	1	31%	10%	65	-0.5
✕Carlos Soto 2022 · A	23	40	46→50	45→30	46	.203/.276/.332	.129	.269	14	4	29%	8%	69	-0.4	.197/.272/.316	.119	.283	11	5	32%	9%	63	-0.8	.147/.236/.245	.098	.221	7	0	34%	10%	30	-0.9
●Nolan Gorman 2021 · A	21	40→43	48→60	43→45	37	.201/.259/.345	.145	.302	16	3	38%	6%	65	-0.7	.224/.278/.400	.176	.300	24	6	33%	7%	88	+0.9	.225/.289/.424	.199	.290	29	6	33%	8%	95	+1.2

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)