Jorge Burgos — OGILVIE

Jorge BurgosCF New Hampshire Fisher Cats

Age 23 L/L 5'10" / 165 lbs AA Svc 0.0 · Ctrl thru 2034

2026 ROS PROJECTION292 act + 9 ros · stats below = ROS only

showingROS

wRC+†77

AVG/OBP/SLG.125 / .222 / .125

PA9

HR0

K%22

BB%11

BABIP268

ISO137

MLB%2%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$4M ctrl surplus

Tools · ContractCON 35 / POW 50

Toolsscout grade

CONTACT35

scouting grade only

POWER50

scouting grade only

EYE45

scouting grade only

SPEED45

scouting grade only

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	Pre-Arb	$0.8M	+0.3	$1.0M	+$0.3M
2030	Pre-Arb	$0.9M	+0.3	$0.9M	+$0.3M
2031	Pre-Arb	$0.9M	+0.3	$0.8M	+$0.3M
2032	Arb-1	$1M	+0.2	$0.5M	+$0.0M (cut)
2033	Arb-2	$2M	+0.1	$0.2M	+$0.0M (cut)
2034	Arb-3	$1M	—	—	—
Totals		$3M		$3M	+$0.9M

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how these numbers are built

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	MLB%	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
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
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	123	+6	+1	—	—	+5	1.2
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	124	+3	+0	—	—	+2	0.5
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	170	+10	+0	—	—	+3	1.4
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	117	+9	+0	—	—	+10	2.0
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	—	—	+8	0.6
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	41	-4	+0	—	—	+1	-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	110	+4	+1	—	—	+7	1.2
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	92	-4	+0	—	—	+9	0.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2019	16	ROK MLE	DSL Indians	—	227	206	37	10	3	0	17	68	3	10	3	180	252	257	509	78	269	30	7	231	42	-16	+1	—	—	+5	-1.0
2021	18	A MLE	Lynchburg Hillcats	—	100	95	23	4	2	1	5	26	0	2	1	242	280	358	638	116	333	26	5	284	78	-3	+0	—	—	+2	-0.0
2021	18	ROK MLE	ACL Indians	—	123	109	28	7	0	0	11	38	3	4	1	257	341	321	663	64	402	31	9	301	90	-1	+0	—	—	+3	0.2
2022	19	A MLE	Lynchburg Hillcats	—	459	416	100	15	2	5	36	123	3	6	2	240	305	322	628	82	321	27	8	281	76	-13	+0	—	—	+10	-0.3
2023	20	A+ MLE	Lake County Captains	—	370	334	65	13	1	5	31	110	3	0	3	195	269	284	553	90	269	30	8	249	55	-20	-1	—	—	+8	-1.3
2024	21	AA MLE	Akron RubberDucks	—	60	57	5	1	0	2	3	29	0	0	0	88	133	211	344	123	127	48	5	164	-3	-7	+0	—	—	+1	-0.6
2024	21	A+ MLE	Lake County Captains	—	305	278	49	11	0	10	17	111	5	5	0	176	237	324	560	147	227	36	6	240	49	-19	+1	—	—	+7	-1.1
2025	22	AA MLE	Akron RubberDucks	—	407	367	61	13	3	11	31	122	4	2	1	166	239	308	547	142	204	30	8	242	50	-24	+0	—	—	+9	-1.6
2019	16	ROK MLE	DSL Indians	—	227	206	37	10	3	0	17	68	3	10	3	180	252	257	509	78	268	30	7	231	42	—	—	—	—	—	—
2019	16	ROK RAW	DSL Indians	—	227	196	54	16	5	0	27	47	3	10	3	276	372	408	780	133	362	21	12	350	42	—	—	—	—	—	—
2021	18	ROK MLE	2 teams	—	223	204	53	12	2	1	16	64	3	6	2	260	323	353	676	93	374	29	7	293	85	—	—	—	—	—	—
2021	18	ROK RAW	2 teams	—	223	194	63	16	3	1	26	45	3	6	2	325	413	454	866	129	419	20	12	389	85	—	—	—	—	—	—
2022	19	A MLE	Lynchburg Hillcats	—	459	416	100	15	2	5	36	123	3	6	2	240	305	322	628	82	325	27	8	281	76	—	—	—	—	—	—
2022	19	A RAW	Lynchburg Hillcats	—	459	396	110	18	3	6	56	85	3	6	2	278	371	384	755	106	337	19	12	342	76	—	—	—	—	—	—
2023	20	A+ MLE	Lake County Captains	—	370	334	65	13	1	5	31	110	3	0	3	195	269	284	553	90	271	30	8	249	55	—	—	—	—	—	—
2023	20	A+ RAW	Lake County Captains	—	370	323	77	15	1	7	42	84	3	0	3	238	332	356	688	118	299	23	11	313	55	—	—	—	—	—	—
2024	21	A+ MLE	2 teams	—	365	334	53	11	0	12	21	139	5	5	0	159	219	299	519	141	218	38	6	228	40	—	—	—	—	—	—
2024	21	A+ RAW	2 teams	—	365	325	70	15	0	18	30	107	5	5	0	215	292	428	719	212	254	29	8	315	40	—	—	—	—	—	—
2025	22	AA MLE	Akron RubberDucks	—	407	367	61	13	3	11	31	122	4	2	1	166	239	308	547	142	209	30	8	242	50	—	—	—	—	—	—
2025	22	AA RAW	Akron RubberDucks	—	407	355	73	16	3	14	43	95	4	2	1	206	299	386	684	180	235	23	11	304	50	—	—	—	—	—	—
2019	16	ROK MLE	DSL Indians	—	227	205	37	10	3	0	17	68	3	10	3	180	252	259	511	78	269	30	7	231	42	—	—	—	—	—	—
2021	18	ROK MLE	2 teams	—	223	202	53	12	2	1	16	64	3	6	2	262	323	356	679	94	371	29	7	293	85	—	—	—	—	—	—
2022	19	A MLE	Lynchburg Hillcats	—	459	417	100	15	2	5	36	123	3	6	2	240	305	321	627	82	321	27	8	281	76	—	—	—	—	—	—
2023	20	A+ MLE	Lake County Captains	—	370	333	65	13	1	5	31	110	3	0	3	195	269	285	554	90	269	30	8	249	55	—	—	—	—	—	—
2024	21	A+ MLE	2 teams	—	365	336	53	11	0	12	21	139	5	5	0	158	219	298	517	140	211	38	6	228	40	—	—	—	—	—	—
2025	22	AA MLE	Akron RubberDucks	—	407	369	61	13	3	11	31	122	4	2	1	165	239	306	545	141	204	30	8	242	50	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	20	A+ MLE	Lake County Captains	—	370	333	65	13	1	5	31	110	3	0	3	195	269	285	554	90	269	30	8	249	55	—	—	—	—	—	—
2024	21	A+ MLE	2 teams	—	365	336	53	11	0	12	21	139	5	5	0	158	219	298	517	140	211	38	6	228	40	—	—	—	—	—	—
2025	22	AA MLE	Akron RubberDucks	—	407	369	61	13	3	11	31	122	4	2	1	165	239	306	545	141	204	30	8	242	50	—	—	—	—	—	—
YTD	23	AA MLE	TOR	—	292	265	63	18	1	6	23	62	1	2	2	238	301	381	682	143	286	21	8	291	83	-6	-0	+0	+1	+6	0.1
▸ 2026 season
YTD	23	AA RAW	TOR	—	292	254	68	20	1	7	34	51	1	2	2	268	356	437	793	169	308	17	12	351	83	—	—	—	—	—	—
ROS	23	AA MLE	TOR	2%	9	8	1	0	0	0	1	2	0	0	0	125	222	125	347		267	22	11	282	77	-0	+0	+0	+0	+0	-0.0
TOT	23	AA MLE	TOR	—	301	273	64	18	1	6	24	64	1	2	2	234	299	374	672	139	283	21	8	291	83	-6	-0	+0	+1	+7	0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	TOR	31%	463	421	92	22	2	12	36	116	3	4	2	219	285	366	651	147	267	25	8	288	81	-10	+0	+0	+2	+10	0.1
2028	25	MLB MLE	TOR	45%	495	450	99	23	2	14	39	122	3	4	2	220	287	373	660	153	269	25	8	294	85	-9	+0	+0	+2	+11	0.4
2029	26	MLB MLE	TOR	51%	512	462	104	24	2	15	41	125	4	4	3	225	294	383	677	158	271	24	8	298	88	-8	-0	+0	+2	+11	0.5
2030	27	MLB MLE	TOR	53%	518	467	105	24	2	15	42	127	4	4	3	225	294	381	676	156	271	25	8	298	88	-7	-0	+0	+2	+11	0.5
2031	28	MLB MLE	TOR	53%	518	467	105	24	2	15	42	128	4	4	3	225	294	381	676	156	271	25	8	298	88	-8	-0	-1	+2	+11	0.4
2032	29	MLB MLE	TOR	53%	511	460	101	23	2	14	42	127	4	4	2	220	291	370	660	150	270	25	8	296	86	-8	+0	-1	+2	+11	0.3
2033	30	MLB MLE	TOR	52%	502	452	100	23	2	14	41	126	4	4	2	221	292	374	666	153	269	25	8	293	85	-9	+0	-2	+2	+11	0.1
2034	31	MLB MLE	TOR	52%	489	443	96	22	2	13	40	124	3	4	2	217	286	363	649	147	267	25	8	289	82	-10	+0	-3	+2	+11	-0.1
2027	24	MLB CTX	TOR	31%	144	131	29	7	1	4	11	36	1	1	1	221	287	382	668	160	269	25	8	284	81	-3	-0	+0	+1	+3	0.0
2028	25	MLB CTX	TOR	45%	221	200	44	10	1	6	17	54	2	2	1	220	288	370	658	150	271	24	8	290	85	-4	+0	+0	+1	+5	0.2
2029	26	MLB CTX	TOR	51%	261	236	52	12	1	7	21	64	2	2	1	220	290	369	658	148	272	25	8	293	88	-4	+0	+0	+1	+6	0.3
2030	27	MLB CTX	TOR	53%	272	246	56	13	1	8	22	67	2	2	1	228	296	386	682	159	272	25	8	294	88	-4	+0	+0	+1	+6	0.3
2031	28	MLB CTX	TOR	53%	276	249	56	13	1	8	23	68	2	2	1	225	296	382	677	157	272	25	8	293	88	-4	+0	-0	+1	+6	0.3
2032	29	MLB CTX	TOR	53%	269	243	54	12	1	8	22	67	2	2	1	222	292	379	671	156	271	25	8	291	86	-4	+0	-1	+1	+6	0.2
2033	30	MLB CTX	TOR	52%	262	236	52	12	1	7	22	66	2	2	1	220	292	369	661	148	270	25	8	289	85	-5	+0	-1	+1	+6	0.1
2034	31	MLB CTX	TOR	52%	254	229	50	11	1	7	21	64	2	2	1	218	290	367	656	148	268	25	8	285	82	-5	+0	-1	+1	+6	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1959	1770	393	90	8	55	159	486	15	15	8	222	292	375	667	153	273	25	8	290	76	-33	-0	-4	+7	+42	1.2
/ 162G	—	A+C		—	650	587	131	30	3	18	53	161	5	5	3	223	293	376	670	153	275	25	8	290	76	-11	-0	-1	+2	+14	0.4
Career	—	MLE		—	6068	5491	1172	259	27	146	476	1623	50	61	30	213	282	350	632	137	273	27	8	281	76	-70	-1	-7	+14	+87	2.4
/ 162G	—	MLE		—	650	588	126	28	3	16	51	174	5	7	3	214	282	354	636	139	274	27	8	281	76	-11	-0	-1	+2	+14	0.4

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
#2Luis Valbuenalast yr '18 career totals — 10 seasons, 3,527 PA	5.3	3,527	113	10	226	311	395	+13	+1	10.5	11.2
/162	664	21	2	+2.4	+0.1	2.0	pk7: 12
#3Maikel Francolast yr '22 career totals — 9 seasons, 3,573 PA	5.4	3,573	130	5	244	293	414	+13	-5	9.3	9.6
/162	664	24	1	+2.4	-1.0	1.7	pk7: 10
#4Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	5.7	3,764	80	34	237	301	368	+13	+19	8.2	8.4
/162	664	14	6	+2.4	+3.4	1.4	pk7: 9
#5Yolmer Sánchezlast yr '19 career totals — 6 seasons, 2,438 PA	3.7	2,438	31	30	244	299	357	+9	+26	5.4	5.4
/162	664	8	8	+2.4	+7.2	1.5	pk7: 5
#6Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	3.0	1,963	55	16	221	287	373	+7	+10	2.6	2.5
/162	664	18	5	+2.4	+3.4	0.9	pk7: 2

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	212/276/351	140	267	8	2	26%	8%	77	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Christopher Familia 2023 · A	23	40	46→55	47→45	45	203/281/331	128	258	14	8	26%	8%	74	-0.5	219/278/387	168	291	21	4	31%	6%	86	+0.3	217/271/408	191	280	27	0	32%	5%	84	+0.1
✕Parker Meadows 2023 · AA	23	40→47	48→55	52→55	43	209/268/351	142	267	16	12	28%	7%	74	-0.6	223/290/379	156	286	16	20	27%	8%	88	+0.4	222/295/383	161	284	16	22	27%	9%	88	+0.4
✕Michael Burgess 2012 · AA	23	39→42	48→50	45	42	202/268/345	143	270	16	4	31%	7%	73	-0.6	210/265/349	139	269	14	3	27%	7%	72	-0.7	213/261/361	148	264	15	2	25%	6%	72	-0.5
✕Matthew Sweeney 2011 · AA	23	42→40	44→50	48→45	41	205/265/320	115	290	11	4	32%	7%	65	-1.2	186/248/292	106	267	9	4	32%	7%	53	-2.1	153/220/256	104	215	9	1	32%	7%	31	-1.3
✕Jason Vosler 2018 · AA	24	40→44	46→55	41→40	43	206/271/330	125	256	13	3	25%	6%	70	-0.8	208/269/364	156	282	19	3	32%	7%	78	-0.3	213/279/377	164	265	21	3	28%	7%	81	-0.1
✕Enmanuel Valdez 2022 · AA	23	36→46	52→55	45	41	201/254/364	163	248	21	7	29%	6%	72	-0.7	224/286/392	168	277	21	8	26%	8%	90	+0.6	220/286/384	164	268	21	8	26%	8%	86	+0.2
✕Ryan Costello 2019 · A	23	41→39	50	42→30	47	214/284/368	154	274	17	4	28%	9%	84	+0.1	201/278/335	134	291	14	4	33%	9%	74	-0.6	169/258/297	128	251	15	0	37%	11%	56	-1.3
✕Agustin Ruiz 2023 · AA	23	36→35	48→50	46→40	40	192/262/329	137	265	17	5	34%	7%	67	-1.1	183/254/312	129	260	15	4	34%	7%	60	-1.6	159/233/285	126	225	15	1	35%	6%	46	-1.6
✕Daniel Palka 2015 · A	23	40→43	49→55	47→50	42	207/267/358	151	280	17	6	32%	7%	75	-0.5	210/262/376	166	301	21	10	36%	6%	77	-0.3	207/276/382	174	264	24	4	31%	8%	82	+0.0
✕Nicky Delmonico 2015 · A	23	40→47	47→50	46→45	43	206/271/340	134	280	15	8	31%	7%	72	-0.7	225/282/366	141	294	13	6	27%	7%	82	-0.0	230/299/381	151	284	16	4	24%	8%	89	+0.4
✕Alexander Ovalles 2023 · AA	22	43→42	46→50	46→50	45	217/283/344	127	282	13	8	27%	8%	78	-0.3	214/280/320	106	310	10	11	32%	8%	71	-0.8	175/252/223	48	291	3	15	38%	9%	35	-0.7
✕Tristan Gray 2019 · A	23	38→35	47→50	42→40	39	197/247/339	142	273	14	6	33%	6%	63	-1.4	201/266/339	138	261	15	4	28%	7%	70	-0.8	198/254/329	130	265	15	3	30%	6%	62	-0.9
✕Isan Díaz 2019 · AAA	23	40→41	46→55	50→45	43	199/269/329	130	288	13	10	34%	8%	70	-0.9	212/283/357	145	286	16	6	30%	8%	81	-0.1	206/286/370	164	268	21	5	30%	9%	80	-0.1
✕Ben Rortvedt 2022 · MLB	24	41	45	47→40	41	208/268/328	120	275	14	4	29%	6%	68	-1.0	205/279/324	119	289	13	5	32%	8%	72	-0.7	199/285/301	102	280	11	2	31%	10%	67	-0.4
✕Matt Wallach 2009 · A	23	40	48→45	46→40	39	206/262/350	144	278	15	3	31%	6%	72	-0.7	212/270/323	111	262	11	3	23%	6%	68	-1.0	215/288/326	111	247	13	3	18%	7%	76	-0.2
✕Sean Coughlin 2009 · A	24	39→37	47→50	44→30	47	200/271/332	132	250	14	2	26%	8%	71	-0.8	219/286/342	123	266	13	3	22%	8%	78	-0.3	220/290/336	116	260	13	1	20%	8%	77	-0.2
✕Kyle Martin 2008 · A	23	38	48→55	48→45	38	199/242/338	139	246	16	6	27%	4%	61	-1.5	209/259/330	121	269	12	6	26%	5%	65	-1.2	203/255/323	120	257	13	5	26%	5%	60	-0.5
✕Eric Duncan 2008 · AAA	23	41→44	45→50	43→45	46	209/269/332	123	254	12	4	23%	7%	70	-0.9	201/244/299	98	261	9	5	26%	5%	52	-2.2	221/258/351	130	282	15	5	27%	4%	68	-0.6
✕Daniel Vellojin 2023 · AA	23	39	45	42→45	51	196/292/318	122	278	13	6	32%	12%	76	-0.4	179/261/272	93	255	9	6	31%	9%	53	-2.1	154/237/226	72	219	7	4	31%	9%	32	-1.3
✕Chris Shaw 2017 · AA	23	44→43	50→55	48→30	40	226/274/390	164	293	17	3	29%	6%	85	+0.2	223/269/395	172	308	21	2	34%	5%	84	+0.2	217/265/394	177	297	23	1	35%	5%	79	-0.1

Career Stats + Projections

Career Comps

Career Path Comps