Jack Lines — OGILVIE

Jack LinesSS Charleston RiverDogs

Age 20 L/R 6'0" / 170 lbs A HR +6%H +4% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION81 act + 12 ros · stats below = ROS only

showingROS

wRC+†71

AVG/OBP/SLG.100 / .250 / .100

PA12

HR0

K%33

BB%8

BABIP292

ISO108

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$18M ctrl surplus

Tools · Contract

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	Pre-Arb	$0.9M	+0.6	$2M	+$1M
2032	Pre-Arb	$0.9M	+0.6	$2M	+$1M
2033	Pre-Arb	$1.0M	+0.6	$1M	+$1.0M
2034	Arb-1	$3M	+0.6	$1M	+$0.1M
2035	Arb-2	$4M	+0.4	$0.8M	+$0.0M (cut)
2036	Arb-3	$5M	+0.3	$0.6M	+$0.0M (cut)
Totals		$6M		$7M	+$3M

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)
2025	19	A	Charleston RiverDogs	—	118	90	15	5	0	1	15	36	10	4	1	167	348	256	603	89	259	31	13	292	84	-2	+0	—	—	+3	0.1
2025	19	ROK	FCL Rays	—	21	15	5	1	0	0	5	6	1	3	1	333	524	400	924	67	556	29	24	435	180	+2	+0	—	—	+0	0.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	19	A MLE	Charleston RiverDogs	—	118	95	14	5	0	1	10	51	10	4	1	147	296	232	527	84	256	43	8	231	42	-8	+0	—	—	+3	-0.5
2025	19	ROK MLE	FCL Rays	—	21	17	4	1	0	0	3	9	1	3	1	235	381	294	675	59	436	43	14	292	84	-0	+0	—	—	+0	0.0
2025	19	A MLE	2 teams	—	139	112	17	5	0	1	13	60	11	7	2	152	301	223	525	71	308	43	9	240	49	—	—	—	—	—	—
2025	19	A RAW	2 teams	—	139	105	20	6	0	1	20	42	11	7	2	190	375	276	651	86	302	30	14	314	49	—	—	—	—	—	—
2025	19	A MLE	2 teams	—	139	114	17	5	0	1	13	60	11	7	2	149	301	219	521	70	283	43	9	240	49	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	19	A MLE	2 teams	—	139	114	17	5	0	1	13	60	11	7	2	149	301	219	521	70	283	43	9	240	49	—	—	—	—	—	—
YTD	20	A MLE	TB	—	81	68	10	4	0	2	4	33	9	4	2	147	284	294	578	147	242	41	5	254	58	-4	+0	+0	+1	+2	-0.1
▸ 2026 season
YTD	20	A RAW	TB	—	81	66	13	6	0	2	6	23	9	4	2	197	346	379	724	182	268	28	7	336	58	—	—	—	—	—	—
ROS	20	A MLE	TB	0%	12	10	1	0	0	0	1	4	1	0	0	100	250	100	350		283	33	8	273	71	-0	+0	+0	+0	+0	-0.0
TOT	20	A MLE	TB	—	93	78	11	4	0	2	5	37	10	4	2	141	280	269	549	128	231	40	5	256	60	-4	+0	+0	+1	+2	-0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	21	MLB MLE	TB	34%	230	203	41	9	1	4	16	71	9	5	2	202	289	315	605	113	285	31	7	281	76	-6	+0	+0	+2	+5	0.1
2028	22	MLB MLE	TB	48%	348	307	64	14	2	7	25	104	13	8	2	208	296	336	631	127	286	30	7	288	81	-8	+1	+0	+4	+8	0.4
2029	23	MLB MLE	TB	54%	427	378	81	18	2	10	31	125	15	10	3	214	300	352	651	138	288	29	7	293	84	-8	+1	+0	+5	+9	0.7
2030	24	MLB MLE	TB	55%	479	425	92	20	2	12	35	139	16	11	3	216	300	358	658	141	289	29	7	296	87	-8	+1	+0	+5	+10	0.9
2031	25	MLB MLE	TB	56%	508	449	97	21	2	13	37	147	17	12	3	216	300	359	659	143	289	29	7	298	88	-7	+1	+0	+5	+11	1.0
2032	26	MLB MLE	TB	56%	524	463	101	22	3	13	38	152	18	12	4	218	303	363	665	145	289	29	7	299	88	-7	+1	+0	+6	+11	1.1
2033	27	MLB MLE	TB	55%	530	468	101	22	3	13	39	154	18	13	4	216	301	359	660	143	288	29	7	299	88	-7	+1	+0	+6	+11	1.1
2034	28	MLB MLE	TB	55%	529	466	100	22	2	13	40	154	18	12	4	215	302	354	656	139	288	29	8	298	88	-8	+1	-1	+6	+11	1.0
2035	29	MLB MLE	TB	53%	521	459	98	21	2	13	39	153	18	12	3	214	300	353	653	139	287	29	7	296	87	-8	+1	-1	+6	+11	0.9
2036	30	MLB MLE	TB	53%	512	450	95	21	2	12	39	152	18	12	3	211	300	347	646	136	286	30	8	294	85	-9	+1	-2	+5	+11	0.7
2037	31	MLB MLE	TB	57%	499	441	91	20	2	11	38	149	17	11	3	206	294	336	630	129	284	30	8	290	82	-11	+1	-3	+5	+11	0.4
2038	32	MLB MLE	TB	59%	481	426	88	19	2	11	36	146	16	11	3	207	293	338	631	131	281	30	7	285	79	-12	+1	-4	+5	+10	0.1
2039	33	MLB MLE	TB	61%	452	400	80	17	2	9	34	139	15	10	3	200	287	320	607	120	277	31	8	278	74	-14	+1	-4	+5	+10	-0.3
2027	21	MLB CTX	TB	34%	79	71	14	3	0	2	5	24	3	2	1	197	278	324	602	127	294	30	6	260	76	-2	+0	+0	+1	+2	0.0
2028	22	MLB CTX	TB	48%	169	149	32	7	1	4	12	50	6	4	1	215	299	356	655	141	295	30	7	269	81	-4	+0	+0	+2	+4	0.2
2029	23	MLB CTX	TB	54%	232	205	44	10	1	5	17	68	8	5	2	215	300	346	646	132	297	29	7	275	84	-4	+0	+0	+2	+5	0.3
2030	24	MLB CTX	TB	55%	266	236	53	12	1	7	19	77	9	6	2	225	307	373	680	148	298	29	7	278	87	-4	+0	+0	+3	+6	0.5
2031	25	MLB CTX	TB	56%	284	251	56	13	1	7	21	82	10	7	2	223	309	367	675	143	298	29	7	280	88	-4	+1	+0	+3	+6	0.6
2032	26	MLB CTX	TB	56%	295	261	59	13	2	8	22	85	10	7	2	226	311	383	694	157	298	29	7	281	88	-4	+1	+0	+3	+6	0.6
2033	27	MLB CTX	TB	55%	293	259	59	13	2	8	22	85	10	7	2	228	313	386	699	158	298	29	8	281	88	-4	+1	+0	+3	+6	0.6
2034	28	MLB CTX	TB	55%	290	256	56	13	1	7	22	85	10	7	2	219	306	359	665	141	297	29	8	280	88	-4	+1	-0	+3	+6	0.6
2035	29	MLB CTX	TB	53%	278	245	54	12	1	7	21	82	10	6	2	220	308	363	671	143	297	29	8	278	87	-4	+0	-1	+3	+6	0.4
2036	30	MLB CTX	TB	53%	269	238	52	12	1	7	20	80	9	6	2	218	303	366	669	147	295	30	7	276	85	-5	+0	-1	+3	+6	0.3
2037	31	MLB CTX	TB	57%	282	249	54	12	1	7	21	84	10	6	2	217	304	357	661	141	293	30	7	272	82	-6	+0	-2	+3	+6	0.2
2038	32	MLB CTX	TB	59%	285	252	53	12	1	6	21	86	10	6	2	210	297	337	634	127	290	30	7	266	79	-7	+0	-2	+3	+6	0.0
2039	33	MLB CTX	TB	61%	276	244	50	11	1	6	21	85	9	6	2	205	292	332	624	127	285	31	8	260	74	-8	+0	-3	+3	+6	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3298	2916	636	143	14	81	244	973	114	75	24	218	304	360	664	142	296	30	7	274	83	-62	+5	-8	+35	+71	4.3
/ 162G	—	A+C		—	650	575	125	28	3	16	48	192	22	15	5	217	302	360	662	143	295	30	7	274	83	-12	+1	-2	+7	+14	0.8
Career	—	MLE		—	6191	5457	1147	251	27	142	461	1849	220	146	42	210	298	344	642	134	287	30	7	291	83	-114	+12	-15	+65	+131	8.1
/ 162G	—	MLE		—	650	573	120	26	3	15	48	194	23	15	4	209	296	344	640	134	286	30	7	291	83	-12	+1	-2	+7	+14	0.9

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12
#2Danny 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
#3Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	5.2	3,430	80	79	213	295	348	+37	+24	7.0	6.0
/162	664	15	15	+7.1	+4.6	1.4	pk7: 5
#5Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
#6Yolmer 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

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
Jack Lines (OGILVIE)	20	—	—	—	—	195/283/308	113	283	2	4	32%	7%	71	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Carlos Jimenez 2022 · A	19	38→41	42→50	53→55	44	186/268/288	102	275	10	11	34%	9%	60	-1.6	201/285/320	119	319	11	16	37%	10%	73	-0.6	220/298/374	155	300	18	18	31%	9%	87	+0.3
●Carter Jensen 2023 · A	20	37→47	43→55	45→50	46	184/266/293	108	267	10	7	33%	10%	60	-1.6	197/285/328	131	277	13	9	31%	11%	75	-0.5	225/304/406	181	290	21	8	29%	10%	98	+1.1
✕Hoy Park 2016 · A	20	40→49	41→45	47→55	46	196/269/296	99	264	8	11	28%	8%	61	-1.5	204/280/290	86	281	5	16	27%	8%	63	-1.3	228/317/324	96	297	8	17	24%	11%	83	+0.0
✕Iverson Leonardo 2022 · A	20	41	44→50	47→50	41	198/276/319	121	305	10	9	36%	8%	70	-0.9	189/268/291	102	310	9	8	39%	8%	61	-1.5	158/247/253	95	261	8	8	39%	9%	43	-0.7
✕Victor Mesa Jr. 2022 · A	20	44	40→55	52→50	40	212/257/310	97	289	6	9	28%	5%	59	-1.7	208/259/315	107	277	10	9	27%	6%	61	-1.5	228/287/392	163	266	21	11	23%	7%	87	+0.2
✕Juan Brito 2022 · A	20	45→48	42→50	47→45	46	221/286/323	102	285	10	12	26%	8%	74	-0.6	228/311/363	135	276	12	9	21%	10%	93	+0.8	222/308/359	137	264	13	9	20%	10%	88	+0.4
✕Rio Ruiz 2014 · A	20	44→52	44→50	50→40	45	215/270/339	125	281	10	8	27%	7%	71	-0.8	232/297/337	105	300	8	4	23%	9%	80	-0.1	218/284/357	138	259	16	3	22%	8%	79	-0.1
✕Carlos Rodriguez 2023 · A	20	38	40→45	47→45	46	182/270/274	91	279	8	6	35%	10%	57	-1.8	191/265/269	78	298	5	6	34%	9%	53	-2.1	177/255/266	89	258	8	2	32%	9%	47	-1.0
✕Isan Díaz 2016 · A	20	44→41	46→55	48→45	41	215/274/356	141	304	13	9	32%	7%	76	-0.4	201/270/333	132	296	13	8	34%	8%	70	-0.8	206/286/370	164	268	21	5	30%	9%	80	-0.1
✕Shed Long Jr. 2017 · A	21	47→49	44→50	51→50	42	227/284/347	121	310	11	11	30%	7%	78	-0.3	234/294/372	138	318	14	11	29%	7%	88	+0.4	234/295/378	144	313	15	11	29%	7%	86	+0.3
✕Luis Torrens 2016 · A	20	43→48	38→50	49→40	44	204/275/284	80	281	6	6	28%	7%	61	-1.5	210/273/293	83	267	6	4	22%	7%	62	-1.4	237/296/380	143	283	15	2	21%	6%	89	+0.2
✕Dalton Pompey 2013 · A	20	40→50	40→45	55	44	197/265/289	92	278	8	16	30%	8%	58	-1.7	238/299/342	104	319	7	24	25%	8%	82	+0.0	258/316/357	98	327	7	29	22%	7%	89	+0.4
✕Bo Naylor 2021 · A	21	40→43	44→55	50	41	201/255/324	123	276	11	7	30%	7%	61	-1.5	198/278/343	145	273	16	13	32%	9%	76	-0.4	213/305/387	174	267	21	12	27%	11%	94	+0.7
✕Akil Baddoo 2019 · A	20	42→52	43→50	56→55	47	203/279/323	120	288	8	13	30%	9%	71	-0.8	213/282/343	130	314	11	16	33%	9%	76	-0.4	236/319/383	147	308	15	24	26%	11%	96	+0.7
✕Ryan Mount 2007 · A	20	42	42→50	49→50	42	207/266/309	103	292	10	8	32%	7%	63	-1.4	223/268/340	117	293	12	11	27%	5%	70	-0.8	249/293/390	141	308	15	8	23%	5%	90	+0.2
✕Angel Martínez 2022 · A	20	42→47	41→50	50	44	203/259/304	102	267	7	10	26%	7%	59	-1.7	221/283/344	123	281	11	10	24%	7%	77	-0.3	231/280/377	146	276	15	12	22%	5%	83	+0.1
✕Eliezer Álvarez 2015 · A	20	43→53	40→45	54→55	44	206/262/313	106	260	6	11	22%	6%	61	-1.5	245/294/353	108	322	5	15	24%	6%	82	+0.0	254/307/365	110	342	6	19	26%	6%	89	+0.3
✕Jason Martin 2017 · A	21	42→49	47→60	48→50	44	214/273/351	137	280	14	13	28%	7%	75	-0.5	224/270/363	139	299	14	12	28%	6%	76	-0.4	219/286/408	189	272	25	8	29%	8%	91	+0.4
✕Izaac Pacheco 2023 · A	20	41→40	42→50	47→45	42	199/260/306	108	293	10	8	34%	8%	60	-1.6	180/243/297	117	298	12	5	41%	7%	52	-2.2	178/255/335	157	290	20	3	43%	9%	64	-0.8
✕Canaan Smith-Njigba 2019 · A	20	45→50	41→45	46→55	51	216/301/314	97	294	9	7	28%	10%	77	-0.3	232/302/345	113	325	10	11	29%	9%	84	+0.2	233/308/347	114	330	9	15	29%	10%	84	+0.1

Career Stats + Projections

Career Comps

Career Path Comps