Yordani Martinez

2B FCL Marlins

Age 20 R/R 5'7" / 170 lbs ROK HR -10%H -3% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1925ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKDSL Miami	155	.169/.327/.266	0	21	14	—	.100/.235/.146
2025	18	ROKDSL Miami	196	.250/.412/.395	2	31	53	—	.160/.299/.235
2026	19	ROKMIA	136	.205/.346/.321	2	16	27	—	.133/.235/.200
2027PROJMLE	20	MLBMIA	246	.200/.281/.285	2	7	62	-0.1
2028PROJ34% MLB	21	MLBMIA	42	.198/.281/.288	0	1	68	-0.0
2029PROJ48% MLB	22	MLBMIA	103	.203/.285/.301	1	3	73	-0.0

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

Speed89

Z-Con%75

Whiff%73

BB%56

ISO50

K%43

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 99%

CompsCesar Gonzalez (age 20) · Jesus Hernandez (age 20) · Frank Frias (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 70 proj PA

wRC+†62

AVG/OBP/SLG.198 / .279 / .282

PA70

HR1

K%27

BB%9

ISO85

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$1M ctrl surplus

Tools · ContractCON 40 / POW 30

Toolsscout grade

CONTACT40

scouting grade only

POWER30

scouting grade only

EYE60

scouting grade only

SPEED60

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	+0.2	$0.5M	+$0.0M
2034	Pre-Arb	$1.0M	+0.1	$0.2M	+$0.0M (cut)
2035	Pre-Arb	$1.0M	—	—	—
2036	Arb-1	$0.2M	—	—	—
2037	Arb-2	$0.4M	—	—	—
2038	Ext	beyond projection horizon · no WAR estimate
Totals		$0.9M		$0.2M	+$0.0M

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 Miami	—	155	124	21	4	4	0	20	28	9	21	2	169	327	266	593	97	216	18	13	283	14	—	—	—	—	—	—
2025	18	ROK	DSL Miami	—	196	152	38	8	4	2	36	37	6	31	6	250	412	395	807	145	313	19	18	368	53	—	—	—	—	—	—
2026	19	ROK	FCL Marlins	—	136	112	23	5	1	2	22	31	2	16	3	205	346	321	667	116	266	23	16	313	27	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Miami	—	155	130	13	2	2	0	14	34	9	21	2	100	235	146	381	46	136	22	9	189	14	—	—	—	—	—	—
2025	18	ROK MLE	DSL Miami	—	196	162	26	5	2	1	26	43	6	31	6	160	299	235	534	74	203	22	13	247	53	—	—	—	—	—	—
2026	19	ROK MLE	FCL Marlins	—	136	120	16	3	1	1	14	45	2	16	3	133	235	200	435	67	201	33	10	208	27	—	—	—	—	—	—
2024	17	ROK MLE	DSL Miami	—	155	130	13	2	2	0	14	34	9	21	2	100	235	146	381	46	134	22	9	189	14	—	—	—	—	—	—
2024	17	ROK RAW	DSL Miami	—	155	124	21	4	4	0	20	28	9	21	2	169	327	266	593	97	216	18	13	283	14	—	—	—	—	—	—
2025	18	ROK MLE	DSL Miami	—	196	162	26	5	2	1	26	43	6	31	6	160	299	235	534	74	208	22	13	247	53	—	—	—	—	—	—
2025	18	ROK RAW	DSL Miami	—	196	152	38	8	4	2	36	37	6	31	6	250	412	395	807	145	313	19	18	368	53	—	—	—	—	—	—
2026	19	ROK MLE	FCL Marlins	—	136	120	16	3	1	1	14	45	2	16	3	133	235	200	435	67	203	33	10	208	27	—	—	—	—	—	—
2026	19	ROK RAW	FCL Marlins	—	136	112	23	5	1	2	22	31	2	16	3	205	346	321	667	116	266	23	16	313	27	—	—	—	—	—	—
2024	17	ROK MLE	DSL Miami	—	155	131	13	2	2	0	14	34	9	21	2	99	235	145	380	46	136	22	9	189	14	—	—	—	—	—	—
2025	18	ROK MLE	DSL Miami	—	196	162	26	5	2	1	26	43	6	31	6	160	299	235	534	74	203	22	13	247	53	—	—	—	—	—	—
2026	19	ROK MLE	FCL Marlins	—	136	119	16	3	1	1	14	45	2	16	3	134	235	202	437	67	201	33	10	208	27	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Miami	—	155	131	13	2	2	0	14	34	9	21	2	99	235	145	380	46	136	22	9	189	14	—	—	—	—	—	—
2025	18	ROK MLE	DSL Miami	—	196	162	26	5	2	1	26	43	6	31	6	160	299	235	534	74	203	22	13	247	53	—	—	—	—	—	—
2026	19	ROK MLE	FCL Marlins	—	136	119	16	3	1	1	14	45	2	16	3	134	235	202	437	67	201	33	10	208	27	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	MIA	0%	246	219	44	8	2	2	21	66	4	7	1	200	281	285	565	85	272	27	9	260	62	-11	+1	+0	+1	+5	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	MIA	34%	123	109	22	4	1	1	11	32	2	3	1	205	286	302	588	96	274	26	9	269	68	-5	+0	+0	+0	+3	-0.1
2029	22	MLB MLE	MIA	48%	213	189	40	7	2	3	19	55	3	6	1	210	291	315	606	105	276	26	9	276	73	-7	+1	+0	+1	+5	-0.1
2030	23	MLB MLE	MIA	54%	309	275	58	10	3	5	27	80	4	8	1	213	294	325	619	112	278	26	9	281	77	-9	+1	+0	+1	+7	0.0
2031	24	MLB MLE	MIA	55%	381	340	73	13	3	7	33	97	5	10	2	216	297	333	630	117	280	25	9	286	79	-9	+1	+0	+1	+8	0.2
2032	25	MLB MLE	MIA	56%	422	376	82	15	3	8	37	107	6	11	2	218	298	339	637	121	280	25	9	288	81	-9	+1	+0	+2	+9	0.3
2033	26	MLB MLE	MIA	56%	444	396	86	15	4	8	39	113	6	11	2	218	298	339	637	121	280	25	9	288	81	-10	+1	+0	+2	+10	0.3
2034	27	MLB MLE	MIA	55%	453	404	88	16	4	8	40	115	6	11	2	217	297	336	634	120	279	25	9	287	80	-11	+1	+0	+2	+10	0.2
2035	28	MLB MLE	MIA	55%	453	404	88	16	4	8	40	116	6	10	2	215	295	332	627	117	278	26	9	284	78	-12	+1	-1	+2	+10	0.0
2036	29	MLB MLE	MIA	53%	445	397	84	15	3	8	39	116	6	9	2	213	292	325	618	113	277	26	9	280	76	-13	+1	-1	+2	+10	-0.2
2037	30	MLB MLE	MIA	57%	435	388	81	14	3	7	38	114	6	8	2	209	289	317	606	108	275	26	9	276	73	-14	+1	-2	+2	+9	-0.4
2028	21	MLB CTX	MIA	34%	42	37	6	1	0	0	4	11	1	1	0	198	281	288	569	90	266	26	10	262	68	-2	+0	+0	+0	+1	-0.0
2029	22	MLB CTX	MIA	48%	103	91	18	3	1	1	9	27	2	3	0	203	285	301	586	98	267	26	9	268	73	-3	+1	+0	+0	+2	-0.0
2030	23	MLB CTX	MIA	54%	168	149	31	5	1	3	15	43	2	4	1	206	288	311	599	105	269	26	9	273	77	-5	+0	+0	+1	+4	-0.0
2031	24	MLB CTX	MIA	55%	211	188	40	7	2	4	18	54	3	5	1	209	290	319	609	110	271	26	9	277	79	-5	+1	+0	+1	+5	0.1
2032	25	MLB CTX	MIA	56%	236	210	45	8	2	4	21	60	3	6	1	211	292	324	616	113	271	25	9	280	81	-5	+1	+0	+1	+5	0.2
2033	26	MLB CTX	MIA	56%	250	223	47	8	2	4	22	63	3	6	1	211	292	324	616	113	271	25	9	280	81	-6	+1	+0	+1	+5	0.2
2034	27	MLB CTX	MIA	55%	251	224	47	8	2	4	22	64	3	6	1	210	291	322	612	112	270	25	9	279	80	-6	+1	+0	+1	+5	0.1
2035	28	MLB CTX	MIA	55%	248	221	46	8	2	4	22	64	3	5	1	208	289	317	606	109	269	26	9	276	78	-6	+1	-0	+1	+5	0.0
2036	29	MLB CTX	MIA	53%	238	212	44	7	2	4	21	62	3	5	1	206	286	311	597	106	268	26	9	272	76	-7	+1	-1	+1	+5	-0.1
2037	30	MLB CTX	MIA	57%	248	221	46	8	2	4	22	65	3	5	1	203	283	304	586	101	266	26	9	268	73	-8	+1	-1	+1	+5	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1995	1776	370	63	16	32	176	513	26	46	8	208	289	316	605	108	273	26	9	275	72	-53	+6	-2	+7	+43	0.1
/ 162G	—	A+C		—	650	579	120	21	5	10	57	167	8	15	3	207	287	313	600	105	272	26	9	275	72	-17	+2	-1	+2	+14	0.0
Career	—	MLE		—	4235	3753	770	137	36	66	383	1086	68	157	28	205	290	314	604	108	268	26	9	275	72	-101	+11	-4	+13	+81	0.1
/ 162G	—	MLE		—	650	576	118	21	6	10	59	167	10	24	4	205	290	314	604	109	269	26	9	275	72	-17	+2	-1	+2	+14	0.0

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 ROKFCL Marlins · 136 PAwOBA .306 → .208 (−98)K% 22.8% → 32.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.79%	÷1.000	×1.440	—	—	32.82%
BB% (unintentional) /PA	16.18%	÷1.000	×0.620	—	×1.008	10.10%
HBP% /PA	1.47%	—	×0.720	—	×1.008	1.07%
Singles /BIP	18.52%	÷1.000	×0.820	×0.952	×1.008	14.57%
Doubles /BIP	6.17%	÷1.000	×0.720	×0.952	×1.008	4.26%
Triples /BIP	1.23%	÷1.000	×0.720	×0.952	×1.008	0.85%
Home runs /BIP	2.47%	÷1.000	×0.780	—	×1.008	1.94%

Factors used: level-wide ROK 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 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.952.

Result: wOBA .306 → .208; ISO .116 → .080; BABIP .266 → .201. 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 Miami · 196 PAwOBA .364 → .247 (−117)K% 18.9% → 22.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.88%	÷1.040	×1.220	—	—	22.14%
BB% (unintentional) /PA	18.37%	÷0.978	×0.700	—	×1.008	13.24%
HBP% /PA	3.06%	—	×0.700	—	×1.008	2.16%
Singles /BIP	20.87%	÷0.978	×0.680	×0.993	×1.008	14.52%
Doubles /BIP	6.96%	÷1.026	×0.600	×0.993	×1.008	4.07%
Triples /BIP	3.48%	÷1.088	×0.600	×0.993	×1.008	1.92%
Home runs /BIP	1.74%	÷1.423	×0.470	—	×1.008	0.58%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 185, 1B 96, 2B 105, 3B 118, K 108, 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 ×0.993.

Result: wOBA .364 → .247; ISO .145 → .078; BABIP .313 → .203. 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 Miami · 155 PAwOBA .279 → .189 (−90)K% 18.1% → 21.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.06%	÷1.016	×1.220	—	—	21.69%
BB% (unintentional) /PA	12.90%	÷0.996	×0.700	—	×1.022	9.27%
HBP% /PA	5.81%	—	×0.700	—	×1.022	4.16%
Singles /BIP	13.54%	÷1.002	×0.680	×0.999	×1.022	9.39%
Doubles /BIP	4.17%	÷1.263	×0.600	×0.999	×1.022	2.02%
Triples /BIP	4.17%	÷1.100	×0.600	×0.999	×1.022	2.32%
Home runs /BIP	0.00%	÷1.836	×0.470	—	×1.022	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 267, 1B 100, 2B 153, 3B 120, K 103, BB 99 — applied at half strength. Age: age 17 vs a level average of 18.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.999.

Result: wOBA .279 → .189; ISO .097 → .054; BABIP .216 → .136. 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
#1Jace Petersonlast yr '23 career totals — 10 seasons, 2,753 PA	4.1	2,753	42	77	228	318	337	+4	+5	5.3	6.0
/162	664	10	19	+1.0	+1.3	1.3	pk7: 7
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.1	2,065	35	49	215	292	330	+7	+6	1.5	1.6
/162	664	11	16	+2.4	+1.9	0.5	pk7: 2
#2Al Weis'62-'71 * career totals — 8 seasons, 1,763 PA	2.7	1,763	7	55	223*	283*	300*	+10	+9	-0.2	1.3
/162	664	3	21	+3.8	+3.5	-0.1	pk7: 3
#3Doug Strange'89-'98 * career totals — 8 seasons, 2,067 PA	3.1	2,067	31	14	225*	286*	340*	+5	-0	-1.5	0.0
/162	664	10	4	+1.6	-0.1	-0.5	pk7: 1
#4Abraham Torolast yr '25 career totals — 6 seasons, 1,561 PA	2.4	1,561	39	16	220	282	351	-1	-8	-0.5	-0.5
/162	664	17	7	-0.2	-3.2	-0.2	pk7: -0
#5Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	pk7: -1
#6Vic Harris'72-'80 * career totals — 8 seasons, 1,805 PA	2.7	1,805	13	36	215*	286*	325*	+4	-7	-1.9	-1.1
/162	664	5	13	+1.5	-2.7	-0.7	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
Yordani Martinez (OGILVIE)	20	40	30	60	60	198/279/282	84	272	1	2	27%	9%	62	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Cesar Gonzalez 2015 · A	20	42	36→40	54→60	43	195/260/262	67	275	2	19	28%	7%	49	-2.4	203/255/272	69	317	3	11	34%	6%	50	-2.3	184/229/215	32	332	0	4	42%	5%	23	-1.0
✕Jesus Hernandez 2024 · A	20	42	37→40	51→55	53	199/281/271	72	257	5	13	23%	10%	60	-1.6	199/278/287	88	284	6	18	29%	9%	63	-1.4	199/280/289	90	282	6	24	29%	9%	62	-0.7
✕Frank Frias 2014 · A	20	44	37→30	52→55	48	205/293/280	76	289	5	20	28%	9%	68	-1.0	219/288/306	87	317	6	13	30%	8%	70	-0.8	227/294/318	91	329	7	13	31%	8%	71	-0.2
✕Glenn Santiago 2021 · A	20	41	36→40	54→45	48	191/268/264	73	243	2	13	21%	8%	54	-2.0	204/266/293	89	275	7	9	27%	7%	59	-1.6	185/249/263	77	271	7	8	32%	7%	44	-1.1
✕Robert Gonzalez 2021 · A	20	40	39→40	54→60	52	186/296/275	89	275	5	8	30%	12%	68	-1.0	190/293/264	74	252	5	17	24%	10%	64	-1.3	151/292/187	36	182	3	30	16%	14%	48	-0.8
✕Jared Serna 2022 · A	20	40→48	38→45	56→50	56	186/292/266	79	230	4	22	19%	11%	65	-1.2	214/282/332	118	267	11	17	23%	7%	74	-0.5	217/275/346	129	264	14	15	23%	6%	72	-0.5
✕Jenner Emeterio 2013 · A	20	42	37→30	48→60	49	198/268/270	72	254	4	13	22%	8%	55	-2.0	197/293/251	54	252	2	24	20%	11%	61	-1.5	183/298/219	36	231	1	34	18%	13%	54	-0.8
✕Rafael P Valera 2015 · A	20	42	34→30	51→55	54	192/282/246	55	234	1	17	17%	9%	55	-1.9	213/283/281	68	307	1	6	28%	8%	63	-1.4	210/280/278	68	320	1	2	32%	7%	58	-0.5
✕Heiker Meneses 2011 · A	20	37→47	36→40	54→55	41	179/248/245	66	260	4	18	31%	7%	42	-2.9	225/274/303	78	328	4	17	31%	5%	63	-1.3	236/284/314	78	342	3	18	30%	4%	66	-0.8
✕Derrik Gibson 2010 · A	20	48→56	37→40	56→55	45	224/290/300	76	303	3	16	26%	7%	70	-0.9	206/266/261	55	280	1	18	25%	7%	51	-2.3	246/312/318	73	319	3	11	22%	8%	79	-0.1
✕Nick Allen 2019 · A	20	43→53	35→40	52→50	42	200/249/258	58	260	2	14	23%	5%	44	-2.8	223/272/312	89	287	5	14	23%	6%	65	-1.2	253/316/328	75	310	5	13	19%	8%	84	+0.1
✕Luis Durango 2023 · A	20	45	35→30	53→70	48	209/290/266	57	271	3	24	22%	8%	63	-1.4	216/288/274	58	294	2	32	25%	6%	63	-1.3	249/303/294	44	325	0	54	21%	4%	68	-0.3
✕Tito Polo 2015 · A	20	43→53	39→45	54→60	42	206/268/296	90	278	5	17	27%	6%	61	-1.5	222/276/320	98	295	8	26	26%	5%	69	-0.9	235/290/350	114	311	11	32	27%	5%	78	-0.2
✕Yorberto Mejicano 2021 · A	20	44	36→45	53→45	48	207/271/275	68	270	3	10	23%	8%	57	-1.8	225/279/332	107	302	11	8	28%	6%	73	-0.6	213/267/311	98	282	10	9	27%	6%	61	-0.6
✕Gilberto Celestino 2019 · A	20	43→53	38→45	52→55	42	209/257/289	80	280	6	12	27%	6%	54	-2.0	226/281/328	102	291	8	8	24%	7%	72	-0.7	239/317/316	76	309	5	10	22%	9%	81	-0.0
✕Jose Ramos 2023 · A	20	38	39→40	57→55	51	185/264/271	86	233	6	20	22%	9%	54	-2.0	184/265/261	77	273	4	22	31%	8%	52	-2.2	194/290/265	72	282	5	28	30%	11%	60	-0.5
✕Nasim Nuñez 2021 · A	20	41→51	35→30	57→65	47	191/265/249	58	277	2	20	30%	9%	49	-2.4	215/301/265	50	313	2	38	28%	11%	66	-1.1	214/299/272	58	299	5	52	27%	10%	65	-1.0
✕Frankeny Fernandez 2017 · A	20	36	38→40	53→60	42	174/249/256	81	276	5	19	36%	8%	45	-2.7	192/257/267	75	279	5	10	31%	7%	50	-2.3	170/235/212	43	235	3	6	27%	7%	28	-1.2
✕Juan Mora 2021 · A	21	40	39→45	53→55	52	192/277/280	88	229	6	14	19%	8%	61	-1.5	221/287/329	108	296	9	10	27%	6%	75	-0.5	218/275/319	102	286	9	8	26%	5%	67	-0.5
✕Luke Williams 2017 · A	20	46→44	36→45	50→65	47	216/284/281	65	293	3	11	26%	8%	63	-1.4	196/247/266	70	262	5	17	26%	6%	45	-2.7	229/291/325	96	311	8	37	27%	7%	74	-0.3

Yordani Martinez

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps