Albert Jimenez

3B DSL Giants Orange

Age 20 R/R 6'1" / 174 lbs ROK HR -15%H -3% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1260ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKDSL Giants Or…	186	.264/.344/.405	3	0	32	—	.173/.240/.262
2025	18	ROKDSL Giants Bl…	140	.242/.350/.383	4	0	22	—	.148/.221/.219
2026	19	ROKDSL Giants Or…	208	.275/.413/.479	8	0	53	—	.168/.277/.274
2027PROJMLE	20	MLBSF	318	.224/.294/.325	4	4	76	0.0
2028PROJ34% MLB	21	MLBSF	54	.224/.295/.330	1	1	81	0.0
2029PROJ48% MLB	22	MLBSF	124	.227/.298/.339	2	2	84	0.1

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

ContractESTIMATED

Control thru2038Service0.0First FA2039

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032MiLB2033Pre-Arb$0.9M2034Pre-Arb$1.0M+4

Skills · percentileMiLB Statcast 2026 Rk

ISO84

K%78

Whiff%76

wOBA75

wRC+73

Chase%73

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 100%

CompsRyan Vilade (age 20) · Jacob Reimer (age 20) · Ke'Bryan Hayes (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 110 proj PA

wRC+†76

AVG/OBP/SLG.222 / .292 / .322

PA110

HR2

K%25

BB%8

ISO102

MLB%0%

Value2027 · WAR

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

Tools · ContractCON 62 / POW 44

Toolsscout grade

CONTACT62

scouting grade only

POWER44

scouting grade only

EYE65

scouting grade only

SPEED47

scouting grade only

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

Status MiLB

MLB Debut 2033

Service 0 yrs (est)

Team Control Through 2038

First FA Year 2039

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2033
2028	MiLB	still in minors · estimated debut 2033
2029	MiLB	still in minors · estimated debut 2033
2030	MiLB	still in minors · estimated debut 2033
2031	MiLB	still in minors · estimated debut 2033
2032	MiLB	still in minors · estimated debut 2033
2033	Pre-Arb	$0.9M	+0.3	$0.8M	+$0.3M
2034	Pre-Arb	$1.0M	+0.3	$0.7M	+$0.2M
2035	Pre-Arb	$1.0M	+0.2	$0.4M	+$0.0M
2036	Arb-1	$0.8M	+0.1	$0.2M	+$0.0M (cut)
2037	Arb-2	$0.4M	—	—	—
2038	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$2M	+$0.5M

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)
2024	17	ROK	DSL Giants Orange	—	186	163	43	12	1	3	18	41	2	0	1	264	344	405	749	141	328	22	10	332	32	—	—	—	—	—	—
2025	18	ROK	DSL Giants Black	—	140	120	29	5	0	4	20	20	0	0	0	242	350	383	733	142	260	14	14	334	22	—	—	—	—	—	—
2026	19	ROK	DSL Giants Orange	—	208	167	46	8	1	8	38	33	1	0	0	275	413	479	892	204	297	16	18	394	53	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Giants Orange	—	186	168	29	7	1	2	13	50	2	0	1	173	240	262	502	89	214	27	7	215	32	—	—	—	—	—	—
2025	18	ROK MLE	DSL Giants Black	—	140	128	19	3	0	2	12	24	0	0	0	148	221	219	440	70	163	17	9	201	22	—	—	—	—	—	—
2026	19	ROK MLE	DSL Giants Orange	—	208	179	30	5	1	4	26	40	1	0	0	168	277	274	550	106	181	19	12	246	53	—	—	—	—	—	—
2024	17	ROK MLE	DSL Giants Orange	—	186	168	29	7	1	2	13	50	2	0	1	173	240	262	502	89	227	27	7	215	32	—	—	—	—	—	—
2024	17	ROK RAW	DSL Giants Orange	—	186	163	43	12	1	3	18	41	2	0	1	264	344	405	749	141	328	22	10	332	32	—	—	—	—	—	—
2025	18	ROK MLE	DSL Giants Black	—	140	128	19	3	0	2	12	24	0	0	0	148	221	219	440	70	167	17	9	201	22	—	—	—	—	—	—
2025	18	ROK RAW	DSL Giants Black	—	140	120	29	5	0	4	20	20	0	0	0	242	350	383	733	142	260	14	14	334	22	—	—	—	—	—	—
2026	19	ROK MLE	DSL Giants Orange	—	208	179	30	5	1	4	26	40	1	0	0	168	277	274	550	106	190	19	12	246	53	—	—	—	—	—	—
2026	19	ROK RAW	DSL Giants Orange	—	208	167	46	8	1	8	38	33	1	0	0	275	413	479	892	204	297	16	18	394	53	—	—	—	—	—	—
2024	17	ROK MLE	DSL Giants Orange	—	186	169	29	7	1	2	13	50	2	0	1	172	240	260	501	89	214	27	7	215	32	—	—	—	—	—	—
2025	18	ROK MLE	DSL Giants Black	—	140	127	19	3	0	2	12	24	0	0	0	150	221	220	442	71	163	17	9	201	22	—	—	—	—	—	—
2026	19	ROK MLE	DSL Giants Orange	—	208	179	30	5	1	4	26	40	1	0	0	168	277	274	550	106	181	19	12	246	53	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Giants Orange	—	186	169	29	7	1	2	13	50	2	0	1	172	240	260	501	89	214	27	7	215	32	—	—	—	—	—	—
2025	18	ROK MLE	DSL Giants Black	—	140	127	19	3	0	2	12	24	0	0	0	150	221	220	442	71	163	17	9	201	22	—	—	—	—	—	—
2026	19	ROK MLE	DSL Giants Orange	—	208	179	30	5	1	4	26	40	1	0	0	168	277	274	550	106	181	19	12	246	53	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	SF	0%	318	287	64	12	2	4	26	79	2	4	2	224	294	325	619	102	290	25	8	281	76	-9	+0	+0	+1	+7	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	SF	34%	156	141	33	6	1	3	13	38	1	2	1	227	299	338	637	110	291	24	8	287	81	-4	+0	+0	+1	+3	0.0
2029	22	MLB MLE	SF	48%	255	230	54	10	2	5	21	62	2	4	2	230	302	347	649	117	292	24	8	293	84	-5	+0	+0	+1	+6	0.2
2030	23	MLB MLE	SF	54%	349	314	73	13	2	7	29	84	3	6	3	233	304	355	659	122	293	24	8	296	87	-6	+0	+0	+1	+8	0.3
2031	24	MLB MLE	SF	55%	409	368	87	16	3	8	34	98	4	7	3	234	306	360	666	125	293	24	8	299	89	-6	+0	+0	+1	+9	0.5
2032	25	MLB MLE	SF	56%	444	399	94	17	3	9	38	105	4	7	3	235	307	363	670	128	293	24	9	301	90	-5	+0	+0	+2	+10	0.6
2033	26	MLB MLE	SF	56%	462	416	98	18	3	10	39	110	4	8	4	235	307	363	670	128	293	24	8	301	90	-6	+0	+0	+2	+10	0.6
2034	27	MLB MLE	SF	55%	468	421	99	18	3	10	40	112	4	8	4	234	306	360	666	126	293	24	9	299	89	-6	+0	+0	+2	+10	0.6
2035	28	MLB MLE	SF	55%	467	420	99	18	3	10	40	113	4	7	4	232	304	355	659	123	292	24	9	296	87	-7	-0	-1	+2	+10	0.4
2036	29	MLB MLE	SF	53%	458	412	95	17	3	9	39	112	4	6	4	230	301	348	649	119	290	24	9	293	84	-9	-0	-1	+2	+10	0.1
2037	30	MLB MLE	SF	53%	447	404	90	16	2	8	37	110	3	5	5	226	297	340	638	114	288	25	8	288	81	-10	-1	-2	+2	+10	-0.2
2028	21	MLB CTX	SF	34%	54	50	11	2	0	1	4	13	0	1	0	224	295	330	625	106	287	24	7	283	81	-1	+0	+0	+0	+1	0.0
2029	22	MLB CTX	SF	48%	124	112	26	5	1	2	10	30	1	2	1	227	298	339	637	112	288	24	8	288	84	-2	+0	+0	+0	+3	0.1
2030	23	MLB CTX	SF	54%	189	169	38	7	1	3	16	45	2	3	1	229	301	346	646	117	289	24	8	291	87	-3	+0	+0	+1	+4	0.2
2031	24	MLB CTX	SF	55%	227	204	47	9	1	4	19	54	2	4	2	230	303	351	653	120	290	24	8	294	89	-3	+0	+0	+1	+5	0.3
2032	25	MLB CTX	SF	56%	249	224	53	10	2	5	21	59	2	4	2	231	303	354	657	122	290	24	8	296	90	-3	+0	+0	+1	+5	0.3
2033	26	MLB CTX	SF	56%	260	234	54	10	2	5	22	62	2	4	2	231	303	353	656	122	289	24	8	295	90	-3	+0	+0	+1	+6	0.3
2034	27	MLB CTX	SF	55%	259	233	54	10	2	5	22	62	2	4	2	230	302	351	653	121	289	24	8	294	89	-4	+0	+0	+1	+6	0.3
2035	28	MLB CTX	SF	55%	256	230	52	10	1	5	22	62	2	4	2	228	300	346	646	118	288	24	9	291	87	-4	+0	-0	+1	+6	0.2
2036	29	MLB CTX	SF	53%	245	220	49	9	1	4	21	60	2	3	2	226	297	340	637	114	286	24	9	288	84	-5	-0	-1	+1	+5	0.1
2037	30	MLB CTX	SF	53%	235	211	47	9	1	4	20	58	2	3	2	223	294	332	626	109	284	25	9	283	81	-5	-0	-1	+1	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2098	1887	431	81	12	38	177	505	17	32	16	228	300	344	645	116	290	24	8	291	80	-34	+0	-2	+7	+45	1.8
/ 162G	—	A+C		—	650	585	134	25	4	12	55	156	5	10	5	229	301	347	648	118	290	24	8	291	80	-10	+0	-1	+2	+14	0.5
Career	—	MLE		—	4559	4099	923	168	28	89	390	1085	37	61	35	225	298	345	643	120	283	24	9	287	80	-66	-1	-4	+14	+87	3.0
/ 162G	—	MLE		—	650	584	132	24	4	13	56	155	5	9	5	226	299	348	646	122	284	24	9	287	80	-11	-0	-1	+2	+14	0.5

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 DSLDSL Giants Orange · 208 PAwOBA .388 → .246 (−143)K% 15.9% → 19.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.87%	÷1.000	×1.220	—	—	19.36%
BB% (unintentional) /PA	18.27%	÷1.000	×0.700	—	×0.985	12.60%
HBP% /PA	0.48%	—	×0.700	—	×0.985	0.33%
Singles /BIP	21.64%	÷1.000	×0.680	×0.966	×0.985	14.00%
Doubles /BIP	5.97%	÷1.000	×0.600	×0.966	×0.985	3.41%
Triples /BIP	0.75%	÷1.000	×0.600	×0.966	×0.985	0.43%
Home runs /BIP	5.97%	÷1.000	×0.470	—	×0.985	2.76%

Factors used: level-wide DSL 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 20 vs a level average of 18.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.966.

Result: wOBA .388 → .246; ISO .204 → .106; BABIP .297 → .181. 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 DSLDSL Giants Black · 140 PAwOBA .323 → .201 (−123)K% 14.3% → 17.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.29%	÷1.007	×1.220	—	—	17.32%
BB% (unintentional) /PA	13.57%	÷1.075	×0.700	—	×0.995	8.79%
HBP% /PA	0.00%	—	×0.700	—	×0.995	0.00%
Singles /BIP	20.00%	÷1.014	×0.680	×0.981	×0.995	13.09%
Doubles /BIP	5.00%	÷1.014	×0.600	×0.981	×0.995	2.89%
Triples /BIP	0.00%	÷0.974	×0.600	×0.981	×0.995	0.00%
Home runs /BIP	4.00%	÷1.022	×0.470	—	×0.995	1.83%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 104, 1B 103, 2B 103, 3B 95, K 101, BB 115 — applied at half strength. Age: age 19 vs a level average of 18.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.981.

Result: wOBA .323 → .201; ISO .142 → .072; BABIP .260 → .163. 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).

2024 DSLDSL Giants Orange · 186 PAwOBA .329 → .215 (−114)K% 22.0% → 26.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.04%	÷1.001	×1.220	—	—	26.88%
BB% (unintentional) /PA	9.68%	÷0.982	×0.700	—	×1.008	6.95%
HBP% /PA	1.08%	—	×0.700	—	×1.008	0.76%
Singles /BIP	22.13%	÷0.972	×0.680	×0.980	×1.008	15.27%
Doubles /BIP	9.84%	÷0.982	×0.600	×0.980	×1.008	5.93%
Triples /BIP	0.82%	÷0.971	×0.600	×0.980	×1.008	0.50%
Home runs /BIP	2.46%	÷0.914	×0.470	—	×1.008	1.27%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 83, 1B 94, 2B 96, 3B 94, K 100, BB 96 — applied at half strength. Age: age 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.980.

Result: wOBA .329 → .215; ISO .141 → .080; BABIP .328 → .214. 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
#1Gordon 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
#2Pat Kelly'91-'99 * career totals — 8 seasons, 2,235 PA	3.4	2,235	36	61	242*	299*	375*	+6	+11	3.7	3.8
/162	664	11	18	+1.7	+3.2	1.1	pk7: 4
#3Dustin 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 6 projected seasons	3.3	2,206	44	34	233	301	355	+8	+3	3.2	3.1
/162	664	13	10	+2.4	+0.9	1.0	pk7: 3
#4Carlos Sanchez'14-'22 * career totals — 6 seasons, 2,503 PA	3.8	2,503	32	30	248*	305*	353*	+8	+0	2.1	2.6
/162	664	8	8	+2.0	+0.0	0.6	pk7: 3
#5Scott Leius'90-'99 * career totals — 5 seasons, 1,727 PA	2.6	1,727	28	16	237*	306*	358*	+5	+5	1.5	2.1
/162	664	11	6	+2.0	+1.9	0.6	pk7: 3
#6Eddie Leon'68-'74 * career totals — 6 seasons, 2,092 PA	3.2	2,092	24	7	239*	296*	345*	+15	+4	0.1	0.1
/162	664	8	2	+4.7	+1.4	0.0	pk7: 0

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
Albert Jimenez (OGILVIE)	20	57→62	39→44	42→47	65	222/292/322	101	290	2	1	25%	8%	76	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Ryan Vilade 2019 · A	20	51→54	39→50	45→50	45	241/302/329	88	320	7	10	26%	7%	80	-0.1	234/289/336	102	302	7	13	23%	7%	77	-0.3	227/293/385	158	282	18	14	26%	7%	89	+0.4
✕Jacob Reimer 2024 · A	20	46→49	40→45	44→50	50	217/316/303	86	302	8	5	28%	10%	82	-0.0	226/307/346	120	303	11	9	27%	9%	87	+0.4	226/302/377	150	302	15	14	28%	8%	90	+0.5
✕Ke'Bryan Hayes 2017 · A	20	47→57	40→50	46→50	42	228/279/314	85	291	8	9	24%	5%	68	-1.0	244/302/346	102	311	7	14	22%	7%	84	+0.1	255/311/393	138	311	13	16	21%	7%	99	+1.0
✕Canaan Smith-Njigba 2019 · A	20	46→51	41→45	46→55	51	218/304/317	98	298	9	7	28%	10%	79	-0.2	237/308/353	116	333	10	11	29%	9%	88	+0.5	242/319/359	118	343	9	15	29%	10%	91	+0.4
✕Jamie Westbrook 2015 · A	20	47→54	40→50	47→45	42	225/270/322	97	288	7	5	24%	5%	67	-1.1	243/280/360	117	284	11	8	18%	4%	80	-0.2	246/298/391	146	280	17	3	19%	5%	92	+0.6
✕Yusniel Díaz 2017 · A	20	46→54	44→45	45→50	42	227/276/342	115	301	12	9	28%	6%	74	-0.6	238/295/357	119	312	12	8	26%	7%	84	+0.2	238/300/364	126	308	12	7	25%	8%	85	+0.2
✕Gavin Cecchini 2015 · A	21	44→54	41→45	48→45	46	213/270/318	105	266	7	7	22%	7%	65	-1.2	256/307/355	99	303	7	5	17%	7%	88	+0.4	265/315/356	91	309	6	4	16%	6%	87	+0.3
●Angel Genao 2024 · A	20	47→57	39→45	48→50	48	224/290/313	89	292	6	9	24%	8%	73	-0.6	262/314/381	119	324	9	12	21%	7%	97	+1.1	271/329/396	125	328	10	12	19%	8%	104	+1.3
✕Cutter Dykstra 2009 · A	20	44→54	42→40	41→55	45	215/280/315	100	287	9	7	28%	8%	70	-0.9	213/274/291	78	300	6	14	29%	7%	61	-1.5	239/306/325	86	316	6	16	24%	8%	79	-0.2
✕Jake Smolinski 2009 · A	20	48→50	42→55	45	44	230/286/336	106	294	8	7	24%	6%	76	-0.4	235/293/350	115	284	9	6	20%	7%	82	-0.0	238/300/392	154	271	17	6	18%	7%	94	+0.6
✕Ramon Mendoza 2021 · A	20	45→51	38→45	40→45	45	210/282/297	87	291	5	4	28%	7%	66	-1.1	196/268/274	78	282	4	5	29%	8%	56	-1.9	232/310/341	109	301	10	3	24%	9%	83	+0.1
✕Tyler Nevin 2018 · A	21	49→55	41→50	47→45	44	236/288/342	106	300	8	9	24%	6%	78	-0.3	236/292/346	110	300	10	6	23%	7%	80	-0.1	240/319/380	139	292	16	4	22%	8%	98	+0.8
✕Colton Welker 2017 · A	19	49→57	42→45	46→45	42	237/273/344	107	283	9	7	20%	4%	72	-0.7	253/292/357	104	323	9	5	23%	5%	82	+0.0	251/292/355	104	322	9	4	24%	5%	82	+0.0
✕Eddys Leonard 2021 · A	20	42→47	39→50	45→50	45	198/273/287	89	286	6	8	31%	8%	61	-1.5	229/297/377	148	305	16	5	29%	7%	91	+0.6	227/295/375	148	296	16	4	28%	6%	86	+0.3
✕Mitch Nay 2014 · A	20	47→53	42→50	43→30	46	228/277/325	97	274	10	3	21%	6%	70	-0.8	225/272/309	84	293	5	3	24%	6%	64	-1.3	211/276/353	142	265	16	2	26%	7%	75	-0.4
✕Tim Kennelly 2007 · A	20	44→52	40	48→40	45	213/275/311	98	279	7	7	25%	7%	67	-1.1	222/279/315	93	303	5	6	26%	7%	69	-0.9	239/299/330	91	299	5	4	20%	6%	77	-0.2
✕Christian Arroyo 2015 · A	20	45→55	39→50	46→45	41	217/256/313	95	276	5	5	23%	5%	59	-1.7	255/288/363	108	317	8	4	22%	4%	82	+0.0	254/305/408	153	304	17	7	22%	5%	100	+0.5
●Cody Freeman 2021 · A	20	44→54	36→50	49→50	50	206/290/273	66	276	3	10	24%	9%	64	-1.3	205/269/313	108	250	11	9	22%	7%	65	-1.2	257/301/394	137	287	15	10	16%	5%	94	+0.6
✕Mitch Einertson 2006 · A	20	44→53	41→50	43→45	44	208/289/307	99	300	9	6	31%	8%	72	-0.7	215/266/337	122	270	12	5	24%	5%	70	-0.9	238/281/367	129	292	12	5	22%	4%	79	-0.1
●Cheslor Cuthbert 2013 · A	20	44→54	42→50	45	42	220/265/318	98	276	10	5	24%	6%	64	-1.3	227/272/334	107	279	10	7	21%	6%	70	-0.8	255/309/403	148	298	17	1	20%	7%	101	+0.7

Albert Jimenez

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps