Jorge Burgos — OGILVIE

Jorge BurgosCF New Hampshire Fisher Cats

Age 23 L/L 5'10" / 165 lbs AA HR +12%BB +4% Svc 0.0 · Ctrl thru 2034 peak 0.6 · 2030

wRC+†60

AVG/OBP/SLG.192 / .258 / .327

PA320

HR9

K%32

BB%7

MLB%2%

Scouting · now → future

HIT

35→35

PWR

50→50

SPD

45→45

EYE

45→45

trajectory · 10 yrs

0.6peak

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	+0.5	$2M	+$1M
2030	Arb-2	$0.9M	+0.6	$3M	+$2M
2031	Arb-3	$0.9M	+0.4	$2M	+$1.0M
2032	Ext / FA-deal	$0.6M	+0.3	$1M	+$0.8M
2033	Ext / FA-deal	$0.4M	+0.1	$0.5M	+$0.1M
2034	Ext / FA-deal	$0.6M	—	—	—
Totals		$4M		$8M	+$4M

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
2019	16	ROK	DSL Indians	227	206	37	10	3	0	17	68	3	10	3	.180	.252	.257	.509	.078	.268	30	7	.231	35	-17	+1	+0	+1	+6	-0.9
2021	18	ROK	2 teams	223	205	53	11	2	1	15	64	3	6	2	.259	.318	.346	.665	.088	.371	29	7	.290	80	-5	+0	+0	+1	+6	0.3
2022	19	A	Lynchburg Hillcats	459	416	100	15	2	5	36	123	3	6	2	.240	.305	.322	.628	.082	.325	27	8	.281	73	-14	+0	+0	+2	+13	0.1
2023	20	A+	Lake County Captains	370	335	67	13	1	5	30	104	3	0	3	.200	.272	.290	.561	.090	.272	28	8	.252	51	-20	-1	+0	+1	+10	-1.0
2024	21	A+	2 teams	365	334	56	12	0	12	21	134	5	5	0	.168	.228	.311	.539	.144	.228	37	6	.231	35	-27	+1	+0	+1	+10	-1.5
2025	22	AA	Akron RubberDucks	407	367	62	12	3	12	31	127	4	2	1	.169	.241	.316	.557	.147	.215	31	8	.247	47	-24	+0	+0	+1	+12	-1.2
▸ 2026 Season (actual · ROS · total)
2026	23	AA	New Hampshire Fisher Cats	45	38	8	1	0	0	6	8	0	0	1	.211	.318	.237	.555	.026	.258	18	13	.252	51	-2	-0	+0	+0	+1	-0.1
ROS	23	MLB	TOR	275	249	49	9	1	7	22	83	2	2	1	.197	.267	.325	.593	.129	.261	30	8	.266	62	-12	+0	+0	+1	+8	-0.3
TOT	23	MLB	TOR	320	287	57	10	1	7	28	91	2	2	2	.199	.274	.314	.588	.115	.262	28	9	.264	60	-14	-0	+0	+1	+9	-0.5
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	24	MLB 11%	TOR	463	416	86	16	2	13	40	128	4	3	2	.207	.283	.349	.631	.142	.260	28	9	.280	73	-14	-0	+0	+2	+13	0.0
2028	25	MLB 26%	TOR	495	444	93	18	2	14	44	134	4	3	2	.209	.287	.354	.640	.144	.264	27	9	.288	78	-12	-0	+0	+2	+14	0.4
2029	26	MLB 44%	TOR	512	457	98	19	2	15	46	137	4	3	2	.214	.292	.363	.655	.149	.266	27	9	.291	81	-11	-0	+0	+2	+15	0.5
2030	27	MLB 59%	TOR	518	462	98	19	2	15	47	139	4	3	2	.212	.290	.359	.650	.147	.267	27	9	.292	82	-11	-0	+0	+2	+15	0.6
2031	28	MLB 69%	TOR	518	461	98	19	2	15	48	140	4	2	2	.213	.292	.360	.652	.148	.266	27	9	.291	81	-11	-0	-1	+2	+15	0.4
2032	29	MLB 77%	TOR	511	455	96	18	2	15	47	140	4	1	1	.211	.291	.358	.649	.147	.265	27	9	.289	79	-12	-0	-1	+2	+14	0.3
2033	30	MLB 85%	TOR	502	447	93	18	2	14	46	139	4	0	1	.208	.288	.351	.639	.143	.264	28	9	.286	77	-13	-0	-2	+2	+14	0.1
2034	31	MLB 91%	TOR	489	437	89	17	2	13	45	137	4	0	0	.204	.284	.341	.625	.137	.262	28	9	.282	74	-14	+0	-3	+2	+14	-0.1
2035	32	MLB	TOR	471	421	84	16	1	12	43	135	4	0	0	.200	.280	.328	.608	.128	.260	29	9	.278	71	-16	+0	-4	+2	+13	-0.4
2036	33	MLB	TOR	442	395	78	15	1	11	41	129	3	0	0	.197	.278	.324	.602	.127	.258	29	9	.272	66	-17	+0	-4	+2	+13	-0.7
2037	34	MLB	TOR	396	354	68	13	1	9	36	119	3	0	0	.192	.272	.311	.583	.119	.256	30	9	.266	61	-17	+0	-5	+1	+11	-1.0
▸ Career Totals (MLE all levels + projections)
Career	—			7643	6861	1405	270	31	188	655	2180	65	46	24	.205	.280	.335	.616	.131	.268	29	9	.276	69	-267	-0	-20	+27	+217	-4.4
/ 162G	—			650	583	120	23	3	16	56	185	6	4	2	.206	.283	.338	.621	.132	.269	28	9	.276	69	-23	+0	-2	+2	+18	-0.4

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
2019	16	ROK	DSL Indians	227	196	54	16	5	0	27	47	3	10	3	.276	.372	.408	.780	.133	.362	21	12	.350	126	+7	+1	—	—	+6	1.4
2021	18	A	Lynchburg Hillcats	100	92	27	5	3	1	8	19	0	2	1	.293	.350	.446	.796	.152	.361	19	8	.352	128	+3	+0	—	—	+3	0.6
2021	18	ROK	ACL Indians	123	102	36	11	0	0	18	26	3	4	1	.353	.463	.461	.924	.108	.474	21	15	.419	179	+11	+0	—	—	+3	1.5
2022	19	A	Lynchburg Hillcats	459	396	110	18	3	6	56	85	3	6	2	.278	.371	.384	.755	.106	.337	19	12	.342	120	+10	+0	—	—	+13	2.4
2023	20	A+	Lake County Captains	370	323	77	15	1	7	42	84	3	0	3	.238	.332	.356	.688	.118	.299	23	11	.313	98	-1	-1	—	—	+10	0.9
2024	21	AA	Akron RubberDucks	60	55	7	1	0	3	5	23	0	0	0	.127	.200	.309	.509	.182	.138	38	8	.229	33	-5	+0	—	—	+2	-0.3
2024	21	A+	Lake County Captains	305	270	63	14	0	15	25	84	5	5	0	.233	.310	.452	.762	.219	.273	28	8	.331	112	+4	+1	—	—	+9	1.4
2025	22	AA	Akron RubberDucks	407	355	73	16	3	14	43	95	4	2	1	.206	.299	.386	.684	.180	.235	23	11	.304	91	-4	+0	—	—	+12	0.7

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
Jorge Burgos (OGILVIE)	23	35	50	45	45	.192/.258/.327	.135	.261	9	2	32%	7%	61	-0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Agustin Ruiz 2023 · AA	23	36	49→50	46→40	40	.192/.262/.333	.140	.266	18	5	34%	7%	63	-0.8	.185/.256/.321	.136	.262	16	4	35%	7%	59	-1.1	.163/.237/.295	.132	.228	17	1	36%	6%	43	-1.4
✕Michael Burgess 2012 · AA	23	39→42	48→55	45	42	.202/.266/.344	.142	.272	16	5	32%	7%	68	-0.5	.209/.265/.352	.143	.270	15	3	28%	7%	69	-0.4	.211/.258/.365	.155	.264	17	2	27%	6%	68	-0.3
✕Matthew Sweeney 2011 · AA	23	42→41	44→50	49→45	41	.207/.267/.325	.119	.293	11	4	32%	7%	63	-0.9	.184/.247/.296	.112	.270	10	4	34%	7%	47	-1.9	.152/.219/.263	.111	.216	11	1	34%	7%	24	-1.3
✕Isan Díaz 2019 · AAA	23	39→40	46→55	48→45	43	.198/.269/.330	.132	.286	14	10	34%	8%	66	-0.6	.209/.280/.354	.145	.285	17	7	31%	8%	76	+0.1	.204/.284/.367	.164	.263	21	5	30%	9%	75	+0.0
✕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
✕Tristan Gray 2019 · A	23	38→34	47→55	42→40	39	.198/.249/.339	.141	.275	14	6	33%	6%	59	-1.1	.202/.266/.351	.149	.261	17	4	29%	7%	70	-0.3	.186/.246/.354	.168	.235	23	3	32%	6%	60	-0.7
✕Alexander Ovalles 2023 · AA	22	43→40	46→50	46→50	44	.216/.279/.347	.131	.276	14	8	27%	7%	74	-0.1	.210/.275/.321	.111	.305	11	11	32%	8%	66	-0.6	.163/.242/.212	.049	.284	4	15	40%	9%	20	-0.8
✕Drew Robinson 2015 · AAA	23	38→41	44→55	48→50	42	.188/.261/.307	.119	.286	11	9	36%	8%	56	-1.3	.195/.271/.352	.157	.280	18	12	35%	9%	72	-0.2	.207/.288/.362	.155	.320	17	12	37%	10%	78	+0.1
✕Orlando Martinez 2022 · AA	24	41→44	47→50	44→45	38	.212/.255/.346	.135	.285	15	6	31%	5%	63	-0.9	.217/.264/.338	.121	.287	12	8	27%	6%	65	-0.7	.224/.282/.338	.114	.277	10	7	22%	7%	71	-0.2
✕Jason Vosler 2018 · AA	24	40→44	46→55	41→40	43	.206/.270/.337	.130	.255	15	3	25%	6%	68	-0.5	.208/.269/.370	.162	.282	20	2	33%	6%	76	+0.1	.205/.271/.379	.174	.261	23	1	30%	7%	77	+0.1
✕Niko Vasquez 2012 · AA	23	39→41	43→50	40→45	46	.196/.269/.309	.112	.266	11	3	29%	8%	60	-1.0	.200/.265/.306	.106	.264	9	4	26%	8%	57	-1.2	.227/.282/.376	.149	.290	19	6	28%	6%	81	+0.2
✕Eric Duncan 2008 · AAA	23	41→43	47→50	44→45	45	.212/.272/.347	.134	.261	15	5	25%	7%	71	-0.3	.204/.247/.310	.106	.262	11	5	26%	5%	50	-1.7	.218/.255/.355	.137	.280	17	5	28%	4%	64	-0.5
✕Daniel Palka 2015 · A	23	41→43	50→60	47→50	43	.211/.272/.363	.152	.278	18	6	30%	7%	75	-0.0	.212/.264/.386	.174	.301	22	10	36%	6%	78	+0.2	.212/.281/.401	.189	.265	26	4	30%	8%	87	+0.7
✕Daniel Cabrera 2022 · AA	23	40→42	46→45	48→45	38	.204/.247/.332	.128	.276	13	8	31%	5%	56	-1.3	.211/.268/.314	.103	.275	9	7	25%	7%	59	-1.1	.212/.278/.299	.088	.270	6	7	23%	8%	58	-0.8
✕Carlos Rincon 2021 · AA	23	37→39	50→55	46→45	40	.197/.265/.347	.151	.284	19	5	37%	7%	69	-0.4	.212/.263/.376	.164	.301	21	6	36%	6%	75	-0.0	.203/.253/.375	.171	.279	24	4	36%	5%	66	-0.3
✕Zack Collins 2018 · AA	23	37→42	47→50	42→40	46	.185/.275/.321	.137	.291	15	3	39%	11%	66	-0.6	.198/.295/.349	.151	.306	17	3	37%	12%	82	+0.5	.196/.301/.351	.156	.289	18	2	35%	13%	83	+0.4
✕Tyler Frost 2019 · A	23	37→33	48→50	48→50	38	.193/.247/.335	.142	.274	16	6	35%	6%	57	-1.2	.187/.242/.303	.116	.312	12	8	42%	5%	46	-2.0	.163/.220/.262	.099	.296	10	9	46%	5%	25	-2.7
✕Chris Shaw 2017 · AA	23	44	51→55	47→30	40	.226/.275/.389	.162	.295	18	3	30%	6%	83	+0.6	.224/.270/.397	.173	.310	22	2	34%	5%	83	+0.6	.217/.265/.397	.180	.298	24	1	35%	5%	78	+0.2
✕Jose Brizuela 2017 · A	24	41→40	47→50	44→45	43	.209/.272/.344	.134	.283	14	5	31%	7%	70	-0.3	.212/.266/.327	.115	.295	12	5	31%	6%	63	-0.9	.166/.196/.248	.082	.207	12	0	27%	4%	9	-1.0
✕Enmanuel Valdez 2022 · AA	23	36→46	50→60	45	40	.197/.250/.346	.149	.247	19	7	29%	6%	61	-1.0	.226/.287/.408	.182	.277	23	8	27%	8%	93	+1.3	.224/.290/.404	.180	.268	24	8	26%	8%	90	+0.8

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)