Nazzan Zanetello

Nazzan ZanetelloSS Greenville Drive

Age 21 R/R 6'1" / 180 lbs A+ Svc 0.0 · Ctrl thru 2035

wRC+†12

AVG/OBP/SLG.122 / .213 / .204

PA320

HR5

SB8

K%55

BB%9

MLB%0%

Scouting · now → future

HIT

20→20

PWR

35→35

SPD

55→55

EYE

49↗60

trajectory · 10 yrs

-0.8peak

2031

Contract

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2030
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Arb-2	$0.9M	—	—	—
2031	Arb-3	$0.9M	—	—	—
2032	Ext / FA-deal	$0.9M	—	—	—
2033	Ext / FA-deal	$0.2M	—	—	—
2034	Ext / FA-deal	$0.4M	—	—	—
2035	Ext / FA-deal	$0.6M	—	—	—
Totals		$-6M		$-29M	-$23M

Underwater contract
Projected production over the remaining contract is worth -$23M less than the salary owed. Most often this reflects an aging-curve fade that was visible at signing — the team paid a premium for the early years.

Career Projections (MLE)

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	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
2023	18	ROK	FCL Red Sox	45	39	3	2	0	0	6	22	0	5	1	.077	.200	.128	.328	.051	.176	49	13	.159	-20	-6	+1	+0	+0	+1	-0.4
2024	19	A	Salem Red Sox	345	311	25	5	1	4	26	223	8	4	1	.080	.171	.141	.312	.061	.250	65	8	.153	-25	-49	+0	+0	+4	+10	-3.5
2025	20	A+	Greenville Drive	356	317	35	7	0	4	30	182	7	17	3	.110	.203	.170	.374	.060	.233	51	8	.177	-6	-43	+2	+0	+4	+10	-2.7
▸ 2026 Season (actual · ROS · total)
2026	21	A+	Greenville Drive	24	20	2	1	0	1	3	15	1	2	1	.100	.250	.300	.550	.200	.250	62	12	.204	14	-2	+0	+0	+0	+1	-0.1
ROS	21	MLB	BOS	296	263	34	7	1	5	26	162	5	6	1	.129	.221	.221	.442	.091	.283	55	9	.200	12	-30	+1	+0	+3	+8	-1.8
TOT	21	MLB	BOS	320	283	36	8	1	6	29	177	6	8	2	.127	.223	.226	.449	.099	.297	55	9	.201	12	-32	+1	+0	+3	+9	-1.9
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	22	MLB 11%	BOS	405	359	50	10	1	8	37	206	6	9	2	.139	.231	.240	.471	.100	.286	51	9	.222	28	-33	+1	+0	+4	+11	-1.6
2028	23	MLB 28%	BOS	470	416	62	12	1	10	44	227	7	11	2	.149	.242	.255	.497	.106	.287	48	9	.235	38	-33	+1	+0	+5	+13	-1.3
2029	24	MLB 45%	BOS	512	449	71	14	1	12	50	239	8	12	2	.158	.254	.274	.528	.116	.288	47	10	.244	45	-32	+2	+0	+5	+15	-1.1
2030	25	MLB 60%	BOS	536	470	75	15	1	13	53	246	8	12	2	.160	.256	.279	.535	.119	.289	46	10	.249	49	-31	+2	+0	+6	+15	-0.9
2031	26	MLB 78%	BOS	548	479	77	15	1	14	55	252	9	12	2	.161	.260	.284	.544	.123	.290	46	10	.251	50	-31	+2	+0	+6	+16	-0.8
2032	27	MLB 92%	BOS	551	481	77	15	1	14	56	254	9	12	2	.160	.260	.283	.543	.123	.290	46	10	.251	50	-31	+2	+0	+6	+16	-0.8
2033	28	MLB	BOS	549	480	77	15	1	14	56	254	8	11	2	.160	.259	.283	.543	.123	.289	46	10	.250	49	-31	+1	-1	+6	+16	-1.0
2034	29	MLB	BOS	540	471	74	14	1	13	56	251	8	11	1	.157	.258	.274	.532	.117	.288	46	10	.248	48	-32	+2	-1	+6	+15	-1.1
2035	30	MLB	BOS	530	462	72	14	1	13	55	248	8	10	1	.156	.257	.275	.532	.119	.286	47	10	.244	45	-33	+2	-2	+6	+15	-1.3
2036	31	MLB	BOS	517	451	69	13	1	12	53	244	8	9	0	.153	.254	.266	.520	.113	.284	47	10	.241	42	-34	+2	-3	+6	+15	-1.5
2037	32	MLB	BOS	498	437	65	12	1	11	51	238	7	8	0	.149	.248	.256	.505	.108	.281	48	10	.236	39	-34	+2	-4	+5	+14	-1.7
2038	33	MLB	BOS	469	411	60	11	1	10	48	227	7	7	0	.146	.247	.251	.497	.105	.279	48	10	.231	35	-35	+1	-4	+5	+13	-1.9
2039	34	MLB	BOS	422	370	52	10	1	8	43	208	6	6	0	.141	.241	.238	.479	.097	.277	49	10	.225	30	-33	+1	-5	+5	+12	-2.1
▸ Career Totals (MLE all levels + projections)
Career	—			7589	6666	978	191	15	165	745	3683	119	162	22	.147	.245	.254	.499	.107	.285	49	10	.232	36	-550	+24	-20	+81	+215	-25.5
/ 162G	—			650	571	83	16	1	14	64	315	10	14	2	.145	.243	.250	.494	.105	.282	48	10	.232	36	-47	+2	-2	+7	+18	-2.2

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	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
2023	18	ROK	FCL Red Sox	45	36	5	3	0	0	9	15	0	5	1	.139	.311	.222	.533	.083	.238	33	20	.265	61	-2	+1	—	—	+1	-0.0
2024	19	A	Salem Red Sox	345	294	46	11	2	7	42	151	8	4	1	.156	.278	.279	.557	.122	.287	44	12	.263	59	-16	+0	—	—	+10	-0.6
2025	20	A+	Greenville Drive	356	295	51	12	0	6	52	132	7	17	3	.173	.311	.275	.585	.102	.283	37	15	.279	71	-12	+2	—	—	+10	0.1

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
Nazzan Zanetello (OGILVIE)	21	20	35	55	60	.122/.213/.204	.081	.283	5	7	55%	9%	12	-2.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Yeuris Ramirez 2019 · A	20	33	38→40	47→50	40	.163/.253/.245	.082	.260	6	9	36%	7%	38	-2.6	.189/.271/.286	.097	.311	8	13	39%	7%	56	-1.3	.158/.239/.236	.078	.330	8	23	50%	6%	26	-1.2
✕Dale Burdick 2017 · A	21	36	39→45	47→50	39	.175/.247/.259	.085	.283	5	7	38%	7%	38	-2.6	.178/.251/.275	.097	.312	8	8	42%	8%	43	-2.2	.145/.232/.240	.095	.259	8	8	43%	9%	24	-1.3
✕Ignacio Valdez 2016 · A	21	35	39→45	48→50	39	.170/.238/.257	.086	.268	6	8	36%	7%	33	-2.9	.171/.234/.292	.121	.284	14	4	42%	7%	41	-2.3	.138/.187/.269	.132	.201	17	0	41%	5%	11	-1.1
✕Frankeny Fernandez 2017 · A	20	37	38→40	54→60	42	.177/.252/.256	.078	.282	5	19	36%	8%	39	-2.5	.189/.255/.265	.076	.277	5	11	31%	7%	42	-2.3	.172/.238/.215	.043	.239	3	6	27%	7%	20	-1.1
✕Jordyn Adams 2022 · A	22	39→41	40→45	51→60	37	.187/.247/.273	.085	.307	8	15	40%	7%	40	-2.4	.194/.252/.287	.093	.306	8	28	37%	6%	46	-2.0	.194/.256/.310	.116	.294	12	32	36%	7%	52	-1.3
✕Nelson Medina 2021 · A	20	37	38→45	47→50	38	.170/.247/.252	.082	.303	5	10	42%	8%	36	-2.7	.195/.275/.292	.097	.306	7	14	35%	9%	58	-1.2	.142/.217/.219	.077	.266	5	19	45%	8%	13	-1.3
✕Luis Yanel Diaz 2021 · A	21	36→43	41→45	54→55	30	.180/.215/.277	.097	.299	9	12	42%	4%	27	-3.3	.193/.242/.319	.126	.343	14	15	45%	5%	50	-1.7	.190/.244/.313	.124	.313	14	21	42%	5%	47	-1.1
✕George Feliz 2023 · A	20	37	40→50	54→40	36	.181/.238/.275	.093	.295	8	12	40%	6%	37	-2.6	.178/.240/.280	.102	.317	11	11	44%	6%	40	-2.4	.168/.232/.286	.119	.279	15	9	43%	6%	36	-1.0
✕Robertico Medina 2016 · A	22	35	39→40	50→45	39	.164/.250/.245	.080	.297	7	8	43%	8%	37	-2.7	.184/.275/.258	.074	.333	5	7	41%	10%	50	-1.8	.149/.259/.185	.036	.298	2	3	44%	13%	23	-1.3
✕Rafael Morel 2023 · A	21	41	37→40	49→50	34	.188/.243/.263	.075	.319	4	9	40%	5%	36	-2.7	.192/.263/.271	.079	.301	8	12	36%	7%	47	-1.9	.170/.249/.239	.069	.264	8	15	36%	8%	31	-1.9
✕Fabian Pertuz 2023 · A	22	39→35	41→40	49→55	34	.191/.234/.284	.092	.286	8	9	35%	4%	37	-2.6	.177/.227/.268	.091	.270	9	12	36%	5%	30	-3.1	.148/.203/.232	.084	.229	9	13	38%	5%	9	-2.3
✕Kadon Morton 2022 · A	21	38→35	37→45	52→55	34	.163/.237/.241	.078	.337	3	12	48%	8%	29	-3.2	.170/.240/.263	.093	.328	9	13	47%	8%	36	-2.7	.147/.219/.235	.088	.282	10	14	48%	7%	17	-2.4
✕Joey Rose 2019 · A	21	37	42→50	51→40	34	.178/.240/.282	.104	.308	9	4	43%	6%	40	-2.4	.185/.240/.276	.091	.288	7	5	36%	6%	39	-2.5	.153/.197/.226	.073	.220	5	2	32%	4%	4	-1.6
✕Yeurys Tejeda 2009 · A	21	37	38→40	50	35	.180/.236/.254	.074	.286	6	11	37%	5%	31	-3.0	.199/.247/.287	.088	.280	7	7	30%	5%	43	-2.2	.175/.208/.266	.092	.228	10	4	28%	3%	20	-0.8
✕Carlos Pacheco 2019 · A	20	35	41→45	45→50	40	.174/.244/.266	.092	.278	9	9	38%	8%	38	-2.6	.185/.243/.273	.088	.321	7	9	41%	7%	39	-2.5	.155/.212/.245	.090	.274	9	10	44%	6%	17	-1.3
✕Gabriel Rosa 2014 · A	21	35	40	51→50	37	.179/.236/.267	.088	.263	8	12	34%	6%	34	-2.8	.184/.248/.275	.091	.268	8	12	33%	6%	42	-2.3	.138/.206/.222	.084	.195	8	18	33%	6%	10	-1.3
✕William Lugo 2022 · A	20	34→39	41→45	45	40	.171/.247/.262	.091	.274	9	6	39%	8%	39	-2.5	.190/.256/.307	.117	.274	13	4	34%	7%	54	-1.4	.173/.244/.287	.114	.243	13	4	33%	7%	42	-1.6
✕Sergio Morales 2009 · A	21	38→33	40	52→50	36	.185/.238/.278	.092	.299	8	12	39%	6%	37	-2.6	.186/.239/.277	.091	.294	8	13	37%	5%	38	-2.6	.168/.220/.253	.085	.263	7	16	37%	5%	21	-2.6
✕Luis Rubio 2023 · A	21	40	35→30	46→45	39	.185/.246/.243	.058	.298	2	7	36%	7%	32	-3.0	.187/.259/.245	.058	.284	2	8	32%	8%	39	-2.5	.130/.224/.150	.020	.200	0	8	31%	10%	0	-1.2
✕Norkis Marcos 2022 · A	21	38	35→30	49→50	38	.170/.246/.226	.056	.315	3	14	43%	8%	29	-3.2	.171/.244/.247	.076	.352	6	15	48%	8%	33	-2.9	.125/.203/.208	.083	.256	10	21	52%	8%	4	-1.5

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)