Jack Lines

SS Charleston RiverDogs

Age 21 L/R 6'0" / 170 lbs A HR -6%H +4% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

OGV OFP35OGV rank#1277ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	19	A/ROKTB	139	.190/.375/.276	1	7	53	—	.162/.316/.243
2026	20	ATB	81	.197/.346/.379	2	4	59	—	.147/.284/.265
2027PROJMLE	21	MLBTB	191	.206/.285/.315	3	4	71	0.0
2028PROJ34% MLB	22	MLBTB	41	.212/.291/.327	1	1	76	0.0
2029PROJ48% MLB	23	MLBTB	96	.215/.295/.337	2	2	80	0.1

Next 3 projected WAR 0.1Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2037Service0.0First FA2038

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Pre-Arb$1.0M+3

Skills · percentileMiLB Statcast 2026 A

ISO73

wRC+59

Speed59

wOBA51

Z-Con%40

K%27

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 96%

CompsCarlos Jimenez (age 21) · Ryan Mount (age 21) · Gavin Conticello (age 21)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 56 proj PA

wRC+†71

AVG/OBP/SLG.204 / .283 / .312

PA56

HR1

K%30

BB%7

ISO109

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$10M ctrl surplus

Tools · Contract

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	+0.4	$1M	+$0.6M
2033	Pre-Arb	$0.9M	+0.4	$1M	+$0.5M
2034	Pre-Arb	$1.0M	+0.3	$0.7M	+$0.2M
2035	Arb-1	$1M	+0.2	$0.4M	+$0.0M (cut)
2036	Arb-2	$1M	—	—	—
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$3M	+$1M

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. 2027 = full-season projection (no games played yet). 2028+ 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	48	—	—	—	—	—	—
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	83	—	—	—	—	—	—
2026	20	A	Charleston RiverDogs	—	81	66	13	6	0	2	6	23	9	4	2	197	346	379	724	182	268	28	7	336	59	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	19	A MLE	Charleston RiverDogs	—	118	94	14	5	0	1	11	49	10	4	1	149	304	234	538	85	260	42	9	239	48	—	—	—	—	—	—
2025	19	ROK MLE	FCL Rays	—	21	17	4	1	0	0	3	9	1	3	1	235	381	294	675	59	434	43	14	291	83	—	—	—	—	—	—
2026	20	A MLE	Charleston RiverDogs	—	81	68	10	5	0	1	4	31	9	4	2	147	284	265	549	118	247	38	5	256	59	—	—	—	—	—	—
2025	19	A MLE	2 teams	—	139	111	18	6	0	1	14	58	11	7	2	162	316	243	559	81	321	42	10	247	53	—	—	—	—	—	—
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	53	—	—	—	—	—	—
2026	20	A MLE	Charleston RiverDogs	—	81	68	10	5	0	1	4	31	9	4	2	147	284	265	549	118	250	38	5	256	59	—	—	—	—	—	—
2026	20	A RAW	Charleston RiverDogs	—	81	66	13	6	0	2	6	23	9	4	2	197	346	379	724	182	268	28	7	336	59	—	—	—	—	—	—
2025	19	A MLE	2 teams	—	139	113	18	6	0	1	14	58	11	7	2	159	316	239	555	80	286	42	10	247	53	—	—	—	—	—	—
2026	20	A MLE	Charleston RiverDogs	—	81	68	10	5	0	1	4	31	9	4	2	147	284	265	549	118	247	38	5	256	59	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	19	A MLE	2 teams	—	139	113	18	6	0	1	14	58	11	7	2	159	316	239	555	80	286	42	10	247	53	—	—	—	—	—	—
2026	20	A MLE	Charleston RiverDogs	—	81	68	10	5	0	1	4	31	9	4	2	147	284	265	549	118	247	38	5	256	59	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	21	MLB MLE	TB	0%	191	170	35	7	1	3	13	58	6	4	1	206	285	315	600	109	288	30	7	274	71	-7	+0	+0	+2	+4	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	TB	34%	119	106	23	5	1	2	9	35	3	3	1	210	290	327	617	117	289	29	8	280	76	-3	+0	+0	+1	+3	0.1
2029	23	MLB MLE	TB	48%	198	177	38	8	1	4	14	58	5	5	1	214	293	337	631	124	290	29	7	286	80	-5	+1	+0	+2	+4	0.2
2030	24	MLB MLE	TB	53%	281	251	55	11	2	6	21	81	7	7	2	217	296	346	642	129	291	29	7	290	82	-6	+1	+0	+3	+6	0.4
2031	25	MLB MLE	TB	55%	341	304	67	14	2	8	25	97	9	8	2	219	298	352	650	133	292	28	7	293	85	-6	+1	+0	+4	+7	0.6
2032	26	MLB MLE	TB	56%	376	336	74	15	2	9	28	106	9	9	2	221	299	356	656	136	291	28	7	295	86	-6	+1	+0	+4	+8	0.7
2033	27	MLB MLE	TB	55%	391	348	77	16	2	9	30	111	10	9	2	220	298	354	652	134	291	28	8	294	85	-7	+1	+0	+4	+8	0.7
2034	28	MLB MLE	TB	59%	394	351	77	16	2	9	30	112	10	9	2	218	296	349	646	131	290	28	8	291	83	-8	+1	-1	+4	+9	0.5
2035	29	MLB MLE	TB	61%	388	347	74	15	2	8	29	112	9	8	2	216	294	343	637	128	289	29	7	288	81	-9	+1	-1	+4	+8	0.3
2036	30	MLB MLE	TB	62%	380	340	73	15	2	8	28	111	9	8	3	213	290	336	626	123	287	29	7	284	78	-10	+0	-2	+4	+8	0.1
2028	22	MLB CTX	TB	34%	41	37	8	2	0	1	3	12	1	1	0	212	291	327	618	115	292	29	7	281	76	-1	+0	+0	+0	+1	0.0
2029	23	MLB CTX	TB	48%	96	86	19	4	1	2	7	28	3	2	1	215	295	337	631	122	293	29	7	286	80	-2	+0	+0	+1	+2	0.1
2030	24	MLB CTX	TB	53%	148	132	29	6	1	3	11	43	4	3	1	218	297	345	642	127	294	29	7	291	82	-3	+0	+0	+2	+3	0.2
2031	25	MLB CTX	TB	55%	187	166	36	7	1	4	14	53	5	4	1	221	299	351	650	130	295	28	7	294	85	-3	+0	+0	+2	+4	0.3
2032	26	MLB CTX	TB	56%	209	186	41	8	1	5	16	59	5	5	1	222	301	355	656	133	294	28	8	296	86	-3	+1	+0	+2	+5	0.4
2033	27	MLB CTX	TB	55%	215	192	42	8	1	5	16	61	5	5	1	221	300	353	652	132	294	28	7	294	85	-4	+1	+0	+2	+5	0.4
2034	28	MLB CTX	TB	59%	232	207	45	9	1	5	17	66	6	5	1	219	298	348	646	129	293	28	7	292	83	-5	+1	-0	+2	+5	0.3
2035	29	MLB CTX	TB	61%	236	210	45	9	1	5	18	68	6	5	2	217	295	342	638	125	292	29	8	288	81	-5	+0	-1	+3	+5	0.2
2036	30	MLB CTX	TB	62%	236	210	45	9	1	5	18	69	6	5	2	214	292	335	627	121	290	29	8	284	78	-6	+0	-1	+3	+5	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1600	1426	310	62	8	35	120	459	41	35	10	217	297	346	643	128	293	29	8	290	80	-33	+3	-3	+17	+35	1.9
/ 162G	—	A+C		—	650	579	125	25	3	14	49	186	17	14	4	216	296	342	638	126	291	29	8	290	80	-14	+1	-1	+7	+14	0.8
Career	—	MLE		—	3144	2789	596	128	16	66	236	929	93	78	21	214	297	342	639	128	293	30	8	287	80	-62	+7	-4	+31	+63	3.6
/ 162G	—	MLE		—	650	577	123	26	3	14	49	192	19	16	4	213	296	341	638	128	291	30	8	287	80	-14	+1	-1	+7	+14	0.8

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 ACharleston RiverDogs · 81 PAwOBA .327 → .256 (−72)K% 28.4% → 38.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.40%	÷1.000	×1.360	—	—	38.62%
BB% (unintentional) /PA	7.41%	÷1.000	×0.690	—	×1.015	5.19%
HBP% /PA	11.11%	—	×0.780	—	×1.015	8.80%
Singles /BIP	11.63%	÷1.000	×0.920	×1.050	×1.015	11.40%
Doubles /BIP	13.95%	÷1.000	×0.830	×1.050	×1.015	12.34%
Triples /BIP	0.00%	÷1.000	×0.910	×1.050	×1.015	0.00%
Home runs /BIP	4.65%	÷1.000	×0.800	—	×1.015	3.78%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .327 → .256; ISO .182 → .138; BABIP .268 → .247. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 ACharleston RiverDogs · 118 PAwOBA .288 → .239 (−49)K% 30.5% → 41.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.51%	÷1.006	×1.360	—	—	41.26%
BB% (unintentional) /PA	12.71%	÷0.985	×0.690	—	×1.030	9.18%
HBP% /PA	8.47%	—	×0.780	—	×1.030	6.81%
Singles /BIP	16.67%	÷1.013	×0.920	×1.050	×1.030	16.37%
Doubles /BIP	9.26%	÷0.850	×0.830	×1.050	×1.030	9.78%
Triples /BIP	0.00%	÷1.121	×0.910	×1.050	×1.030	0.00%
Home runs /BIP	1.85%	÷1.159	×0.800	—	×1.030	1.32%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 132, 1B 103, 2B 70, 3B 124, K 101, BB 97 — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .288 → .239; ISO .089 → .077; BABIP .259 → .260. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 ROKFCL Rays · 21 PAwOBA .426 → .291 (−135)K% 28.6% → 41.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.57%	÷0.985	×1.440	—	—	41.77%
BB% (unintentional) /PA	23.81%	÷0.991	×0.620	—	×0.995	14.83%
HBP% /PA	4.76%	—	×0.720	—	×0.995	3.41%
Singles /BIP	44.44%	÷1.018	×0.820	—	×0.995	35.61%
Doubles /BIP	11.11%	÷1.026	×0.720	—	×0.995	7.76%
Triples /BIP	0.00%	÷1.150	×0.720	—	×0.995	0.00%
Home runs /BIP	0.00%	÷0.809	×0.780	—	×0.995	0.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 62, 1B 104, 2B 105, 3B 130, K 97, BB 98 — applied at half strength. Age: age 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average).

Result: wOBA .426 → .291; ISO .067 → .043; BABIP .556 → .434. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Sean Rodríguezlast yr '19 career totals — 11 seasons, 2,871 PA	4.3	2,871	79	42	226	302	380	+10	+16	8.1	8.5
/162	664	18	10	+2.3	+3.7	1.9	pk7: 9
#2Gene Michael'66-'75 * career totals — 9 seasons, 3,095 PA	4.7	3,095	15	22	233*	291*	316*	+32	+27	4.6	5.8
/162	664	3	5	+6.8	+5.8	1.0	pk7: 7
#3Adam Rosaleslast yr '17 career totals — 9 seasons, 1,756 PA	2.6	1,756	47	16	227	293	367	+6	+8	3.0	3.5
/162	664	18	6	+2.4	+3.0	1.1	pk7: 4
#4Kiko Garcia'76-'85 * career totals — 8 seasons, 1,595 PA	2.4	1,595	12	34	232*	283*	343*	+14	+14	2.2	3.0
/162	664	5	14	+5.7	+6.0	0.9	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	2.5	1,656	36	38	218	293	347	+18	+18	3.0	2.9
/162	664	14	15	+7.1	+7.2	1.2	pk7: 3
#5Tim Cullen'66-'72 * career totals — 6 seasons, 1,960 PA	3.0	1,960	9	10	229*	288*	313*	+10	+27	2.7	2.7
/162	664	3	3	+3.6	+9.1	0.9	pk7: 3
#6Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	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
Jack Lines (OGILVIE)	21	—	—	—	—	204/283/312	108	288	1	1	30%	7%	71	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Carlos Jimenez 2024 · A	21	39→44	40→50	52→55	44	186/271/278	93	294	7	15	36%	9%	59	-1.7	222/298/356	134	324	13	17	33%	9%	86	+0.3	223/303/376	153	308	17	18	31%	10%	89	+0.4
✕Ryan Mount 2008 · A	21	43	42→50	51→50	42	212/267/315	102	290	10	13	30%	6%	64	-1.3	228/267/355	127	292	14	10	26%	5%	74	-0.6	242/286/380	138	297	15	8	23%	5%	85	+0.1
✕Gavin Conticello 2024 · A	21	36→46	45	48→50	40	185/254/310	126	264	13	8	34%	7%	59	-1.6	219/279/344	125	300	11	8	29%	7%	76	-0.4	230/290/358	128	308	12	7	28%	7%	80	-0.1
✕Jhostynxon Garcia 2024 · A	21	38→44	41→50	52→50	43	182/258/286	104	279	7	9	35%	8%	55	-1.9	220/276/370	150	298	17	10	31%	6%	81	-0.1	226/279/379	153	297	20	9	30%	5%	81	-0.0
✕Iverson Leonardo 2023 · A	21	37	44→45	49→50	40	186/254/299	114	273	12	9	35%	7%	57	-1.8	197/278/292	95	346	7	8	41%	8%	64	-1.3	149/272/225	76	351	3	4	50%	12%	46	-0.6
✕Parker Meadows 2021 · A	21	40→48	41→55	46→55	42	198/255/291	92	273	9	9	30%	7%	54	-2.0	206/267/338	132	276	14	13	29%	7%	70	-0.8	229/297/399	170	285	18	21	26%	8%	94	+0.9
✕Angel Ortiz 2024 · A	21	40→45	39→50	47→45	40	197/244/283	86	268	6	8	28%	6%	48	-2.5	228/285/354	126	301	11	6	26%	7%	80	-0.1	227/286/370	143	294	13	8	26%	7%	82	+0.0
✕Junior Franco 2024 · A	21	42→43	43→45	50→55	38	208/258/315	107	302	10	17	34%	6%	61	-1.5	220/274/324	104	286	10	19	25%	6%	69	-0.9	227/282/332	105	286	10	21	23%	6%	71	-0.5
✕Carlos Rodriguez 2024 · A	21	40	38→45	48→45	46	192/271/267	75	284	6	7	32%	9%	55	-1.9	191/263/273	82	291	6	4	33%	8%	53	-2.1	178/256/266	88	258	7	2	31%	9%	47	-1.0
✕Sean Coyle 2013 · A	21	40→38	45→50	54→50	38	199/264/327	128	286	12	13	34%	6%	67	-1.1	211/271/364	153	307	18	14	36%	6%	78	-0.3	204/267/368	165	294	22	15	37%	7%	75	-0.2
✕Ricardo Méndez 2021 · A	21	44	39→45	54→50	40	208/268/296	88	312	7	13	34%	7%	60	-1.6	217/259/315	98	317	7	13	32%	5%	61	-1.5	212/252/306	95	305	6	14	31%	5%	53	-1.3
✕D.J. Wilson 2018 · A	21	38	45→50	53→50	40	194/250/327	133	275	12	13	33%	6%	61	-1.5	178/241/273	95	291	8	14	39%	7%	45	-2.7	142/212/207	66	242	6	17	41%	8%	18	-1.7
✕Bo Naylor 2021 · A	21	41→46	44→55	51→50	42	206/261/333	127	283	11	7	30%	7%	66	-1.1	204/287/354	150	283	17	13	32%	10%	82	-0.0	218/311/396	178	274	21	12	27%	11%	100	+1.0
✕Izaac Pacheco 2023 · A	20	41→40	42→50	47→45	42	201/260/306	105	290	10	8	33%	7%	59	-1.6	187/250/307	120	297	13	5	39%	7%	57	-1.8	185/263/344	159	294	20	3	41%	9%	69	-0.6
✕Jorge Alcantara 2013 · A	21	42	41→45	50	42	200/270/298	98	297	8	11	33%	8%	62	-1.4	192/261/284	92	292	6	14	34%	8%	55	-1.9	143/221/238	95	216	5	25	34%	8%	30	-1.0
✕Hoy Park 2016 · A	20	40→50	41→45	47→55	46	197/270/297	100	265	8	11	28%	8%	62	-1.4	207/284/295	88	286	5	16	27%	9%	67	-1.1	234/324/332	98	306	8	17	24%	11%	88	+0.3
✕Jeter Downs 2019 · A	21	42→41	43→50	52→55	44	208/273/317	109	269	11	18	26%	7%	68	-1.0	210/276/360	150	277	17	18	29%	7%	79	-0.2	176/270/315	139	246	15	26	33%	9%	66	-0.6
✕Esteban González 2024 · A	21	43→45	41→45	56→55	41	205/280/306	101	298	7	18	31%	7%	68	-1.0	211/269/331	120	298	10	24	31%	6%	70	-0.9	203/264/330	127	285	12	27	31%	6%	65	-0.8
✕LeVon Washington 2012 · A	21	44	38→45	51→50	45	203/278/285	82	314	6	13	35%	9%	62	-1.4	236/309/338	102	350	7	13	31%	9%	85	+0.2	244/311/361	117	341	8	12	28%	8%	88	+0.2
✕Cole Roederer 2021 · A	21	39→33	43→45	51→50	42	193/261/303	109	286	10	12	34%	8%	60	-1.6	207/272/319	112	304	11	12	33%	7%	68	-1.0	183/257/295	112	268	12	11	34%	8%	56	-1.1

Jack Lines

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps