Miles Mastrobuoni

Miles Mastrobuoni3B Tacoma Rainiers

INJURED · Injured 60-Day (D60)

Age 30 L/R 5'9" / 185 lbs AAA HR +3% Svc 2.250S2 · Ctrl thru 2029 peak 0.8 · 2027

wRC+†79

AVG/OBP/SLG.252 / .326 / .341

PA107

HR1

SB5

K%20

BB%10

xwOBA.322

Barrel%2.3%

MLB%45%

Scouting · now → future

HIT

60→60

PWR

35→35

SPD

60→60

EYE

53↗60

trajectory · 10 yrs

0.7peak

2027

Barrel%

102.3

xwOBA

620.322

Avg EV

3588.0

Whiff%

900.060

Chase%

900.223

Speed

7628.5

Bat Spd

1467.5

Contract

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

Status Pre-Arb SUPER-2

MLB Debut 2022

Service 2.250 yrs.days

Team Control Through 2029

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Arb-1	$0.8M	+0.2	$0.8M	+$0.0M
2027	Arb-2	$2M	+0.8	$3M	+$2M
2028	Arb-3	$2M	+0.5	$2M	+$0.3M
2029	Arb-4	$2M	+0.2	$0.9M	+$0.0M (cut)
Totals		$5M		$7M	+$2M

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
2017	21	A	Bowling Green Hot Rods	439	395	89	13	2	2	35	86	0	18	7	.225	.288	.284	.572	.058	.278	20	8	.258	56	-22	+1	+0	+2	+12	-0.7
2018	22	A+	2 teams	393	346	84	13	2	1	39	94	0	9	9	.243	.319	.301	.620	.058	.328	24	10	.278	71	-13	-2	+0	+1	+11	-0.2
2019	23	AA	Montgomery Biscuits	430	395	100	8	4	4	28	108	0	15	13	.253	.303	.324	.627	.071	.337	25	7	.276	69	-15	-2	+0	+2	+12	-0.3
2021	25	AA	2 teams	434	399	104	20	4	5	34	114	0	8	7	.261	.319	.368	.687	.108	.352	26	8	.302	89	-5	-1	+0	+2	+12	0.8
2022	26	AAA	3 teams	637	588	150	27	2	14	46	130	1	25	3	.255	.310	.379	.689	.124	.305	20	7	.303	90	-7	+4	-1	+2	+18	1.6
2023	27	AAA	2 teams	314	273	67	14	3	3	38	78	0	22	1	.245	.338	.352	.689	.106	.333	25	12	.306	93	-3	+4	-0	+1	+9	1.1
2024	28	AAA	2 teams	350	322	63	14	0	3	26	70	0	17	1	.196	.256	.267	.523	.071	.240	20	7	.235	38	-25	+3	+0	+1	+10	-1.1
2025	29	MLB	2 teams	317	275	71	14	0	2	34	51	0	15	5	.258	.340	.331	.671	.073	.307	16	11	.294	83	-6	+1	+1	+1	+9	0.6
▸ 2026 Season (actual · ROS · total)
2026	30	AAA	Tacoma Rainiers	18	16	2	1	1	0	2	5	0	1	0	.125	.222	.312	.535	.188	.182	28	11	.205	15	-2	+0	+0	+0	+1	-0.1
ROS	30	MLB	SEA	89	80	20	4	0	1	9	17	0	4	1	.250	.326	.338	.663	.088	.312	19	10	.305	92	-1	+0	+0	+0	+3	0.3
TOT	30	MLB	SEA	107	96	22	5	1	1	11	22	0	5	1	.229	.308	.333	.642	.104	.288	21	10	.288	79	-3	+1	+0	+0	+3	0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	31	MLB 54%	SEA	342	305	76	15	1	3	34	68	0	14	3	.249	.324	.334	.659	.085	.312	20	10	.302	89	-4	+2	-1	+1	+10	0.7
2028	32	MLB 65%	SEA	323	288	71	14	1	2	32	66	0	12	2	.247	.322	.323	.645	.076	.310	20	10	.297	85	-5	+2	-2	+1	+9	0.5
2029	33	MLB 74%	SEA	293	263	64	12	1	2	28	62	0	10	2	.243	.316	.319	.636	.076	.309	21	10	.291	81	-6	+1	-3	+1	+8	0.2
2030	34	MLB 82%	SEA	250	224	53	10	1	1	24	55	0	8	1	.237	.310	.304	.614	.067	.308	22	10	.285	77	-7	+1	-4	+1	+7	-0.1
2031	35	MLB 89%	SEA	199	178	43	8	1	1	19	46	0	6	1	.242	.315	.315	.629	.073	.307	23	10	.278	71	-6	+1	-5	+1	+6	-0.4
▸ Career Totals (MLE all levels + projections)
Career	—			4810	4331	1055	186	22	44	426	1045	1	183	56	.244	.311	.327	.639	.084	.310	22	9	.286	77	-125	+14	-14	+17	+136	2.9
/ 162G	—			650	585	143	25	3	6	58	141	0	25	8	.244	.313	.328	.641	.084	.311	22	9	.286	77	-17	+2	-2	+2	+18	0.4

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
2017	21	A	Bowling Green Hot Rods	439	379	100	17	3	3	51	66	0	18	7	.264	.351	.348	.699	.084	.307	15	12	.315	99	-0	+1	—	—	+12	1.3
2018	22	AA	Montgomery Biscuits	48	43	11	0	0	0	5	7	0	1	1	.256	.333	.256	.589	.000	.306	15	10	.280	73	-1	-0	—	—	+1	-0.0
2018	22	A+	Charlotte Stone Crabs	345	287	83	14	3	1	50	59	0	8	8	.289	.395	.369	.764	.080	.358	17	14	.344	121	+8	-2	—	—	+10	1.7
2019	23	AA	Montgomery Biscuits	430	381	114	10	6	4	42	82	0	15	13	.299	.369	.388	.757	.089	.370	19	10	.338	117	+8	-2	—	—	+12	1.8
2021	25	AAA	Durham Bulls	185	161	47	10	3	0	24	48	0	2	4	.292	.384	.391	.775	.099	.416	26	13	.352	128	+6	-1	—	—	+5	1.0
2021	25	AA	Montgomery Biscuits	249	221	66	14	2	5	27	43	0	6	3	.299	.375	.448	.823	.149	.351	17	11	.366	138	+11	+0	—	—	+7	1.8
2022	26	MLB	Tampa Bay Rays	17	16	3	0	0	0	1	6	0	1	0	.188	.235	.188	.423	.000	.300	35	6	.201	12	-2	+0	-1	+2	+0	0.0
2022	26	AAA	Durham Bulls	573	507	152	32	3	16	63	95	1	23	3	.300	.378	.469	.848	.170	.342	17	11	.376	146	+30	+3	—	—	+16	5.0
2022	26	INTL	Tigres del Licey	47	37	9	2	0	1	10	7	0	1	0	.243	.404	.378	.783	.135	.276	15	21	.363	136	+2	+0	—	—	+1	0.4
2023	27	MLB	Chicago Cubs	149	133	32	5	0	1	13	32	0	13	1	.241	.308	.301	.609	.060	.310	21	9	.276	69	-5	+2	-0	+1	+4	0.2
2023	27	AAA	Iowa Cubs	165	129	38	11	3	2	36	39	0	9	0	.295	.448	.473	.921	.178	.409	24	22	.413	174	+14	+2	—	—	+5	2.1
2024	28	MLB	Chicago Cubs	106	98	19	3	0	0	7	17	0	2	0	.194	.248	.224	.472	.031	.232	16	7	.219	26	-9	+0	+0	+1	+3	-0.4
2024	28	AAA	Iowa Cubs	244	216	47	12	0	4	27	44	0	15	1	.218	.305	.329	.633	.111	.256	18	11	.289	80	-6	+3	—	—	+7	0.4
2025	29	MLB	Seattle Mariners	175	152	38	4	0	1	17	29	0	6	3	.250	.325	.296	.621	.046	.301	17	10	.280	72	-5	+0	+1	+1	+5	0.2
2025	29	AAA	Tacoma Rainiers	142	115	34	11	0	1	25	18	0	9	2	.296	.421	.417	.839	.122	.337	13	18	.377	147	+8	+1	—	—	+4	1.3
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			447	399	92	12	0	2	38	84	0	22	4	.231	.297	.276	.573	.045	.286	19	9	.261	58	-21	+3	-0	+6	+13	-0.0

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
Miles Mastrobuoni (OGILVIE)	30	60	35	60	60	.252/.326/.341	.090	.312	1	5	20%	10%	92	+0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Alex Sanchez 2006 · MLB	29	61	38→40	55→65	44	.289/.318/.374	.085	.332	5	34	15%	4%	95	+1.4	.258/.287/.357	.099	.292	10	16	15%	4%	78	+0.2	.286/.310/.375	.088	.310	8	20	10%	3%	90	+0.5
✕Matt Young 2012 · MLB	29	55→58	38→40	56→60	54	.256/.324/.345	.089	.296	4	26	14%	8%	91	+1.1	.233/.307/.309	.076	.290	4	22	19%	9%	76	+0.0	.219/.304/.282	.063	.278	4	26	21%	10%	65	-0.4
✕Damian Jackson 2004 · MLB	30	52→54	40→45	55	49	.246/.308/.345	.099	.302	6	29	20%	8%	85	+0.7	.241/.313/.361	.120	.283	11	22	18%	9%	92	+1.2	.241/.328/.365	.124	.282	13	20	19%	10%	96	+0.6
✕Rich Thompson 2009 · AAA	30	53→61	40→45	59→65	46	.249/.305/.350	.101	.304	5	24	20%	6%	85	+0.7	.250/.298/.349	.099	.305	5	30	19%	5%	81	+0.4	.266/.316/.370	.104	.324	4	44	18%	5%	90	+0.8
✕Ezequiel Carrera 2017 · MLB	30	52→62	42→45	53→60	48	.251/.310/.351	.100	.305	9	24	20%	7%	87	+0.8	.240/.303/.349	.109	.304	12	18	24%	8%	84	+0.6	.244/.306/.344	.100	.310	11	24	24%	8%	81	+0.2
✕Travis Jankowski 2021 · MLB	30	52→61	38→40	53→65	50	.247/.315/.324	.078	.315	6	26	22%	9%	82	+0.5	.237/.328/.316	.079	.301	5	26	20%	12%	86	+0.8	.242/.344/.306	.063	.304	2	35	18%	13%	84	+0.3
✕Shawn O'Malley 2017 · MLB	29	53→58	40	56→60	47	.253/.313/.354	.101	.313	6	21	20%	7%	89	+0.9	.232/.288/.332	.100	.297	8	13	23%	7%	72	-0.2	.219/.270/.301	.082	.281	6	6	23%	6%	54	-0.4
✕Ben Revere 2018 · MLB	30	57→65	37→40	59→65	49	.265/.304/.347	.082	.287	4	28	10%	5%	82	+0.5	.242/.282/.348	.106	.260	9	17	10%	5%	73	-0.1	.235/.266/.340	.105	.245	9	6	8%	4%	60	-0.3
✕Antoan Richardson 2014 · AAA	30	56→60	36→40	60	54	.257/.345/.329	.073	.338	2	28	22%	10%	96	+1.5	.239/.316/.321	.082	.319	4	33	24%	8%	82	+0.5	.254/.338/.331	.077	.328	4	49	22%	7%	92	+0.6
✕Roger Cedeno 2004 · MLB	29	56→60	41→45	57→65	50	.267/.320/.372	.104	.308	8	28	16%	7%	96	+1.5	.245/.303/.352	.107	.288	9	13	17%	8%	84	+0.6	.260/.323/.368	.108	.313	8	13	18%	9%	89	+0.4
✕Trevor Crowe 2014 · MLB	30	51→55	39→45	53→55	48	.240/.296/.327	.087	.293	6	24	20%	7%	75	-0.0	.230/.274/.328	.098	.275	8	18	19%	6%	66	-0.6	.216/.247/.308	.092	.250	8	15	17%	4%	46	-0.9
●Julio Borbon 2015 · MLB	29	53→61	39→40	56→60	46	.254/.296/.336	.082	.297	7	26	17%	6%	76	+0.1	.259/.293/.328	.069	.307	5	28	17%	5%	72	-0.2	.278/.311/.346	.068	.324	5	28	15%	4%	82	+0.4
✕Grégor Blanco 2013 · MLB	29	50→59	41→45	60	55	.239/.321/.340	.102	.302	7	31	22%	11%	89	+1.0	.253/.330/.357	.104	.312	7	22	19%	10%	97	+1.5	.264/.341/.367	.103	.318	6	19	17%	10%	96	+1.1
✕Mike McCoy 2010 · AAA	29	53→58	38→40	56→60	53	.251/.319/.334	.083	.300	5	25	18%	9%	86	+0.8	.243/.320/.328	.085	.293	6	30	18%	10%	85	+0.7	.229/.317/.302	.073	.275	6	32	17%	11%	74	-0.0
✕Chris Dickerson 2012 · MLB	30	52→55	41→50	58→60	48	.244/.315/.345	.101	.338	7	28	28%	9%	88	+0.9	.243/.313/.378	.135	.337	12	24	29%	9%	95	+1.4	.246/.321/.390	.144	.339	13	22	29%	9%	100	+1.0
✕Adam Stern 2010 · AAA	30	52→56	38→40	55	45	.245/.288/.330	.085	.294	5	23	18%	5%	71	-0.3	.254/.306/.357	.103	.307	8	16	19%	7%	86	+0.8	.278/.335/.386	.108	.339	8	11	19%	8%	100	+0.9
✕Alden Carrithers 2015 · AAA	30	54→61	36→30	51→55	55	.251/.323/.319	.068	.286	4	18	14%	9%	84	+0.6	.243/.310/.322	.079	.280	6	15	14%	8%	79	+0.3	.254/.322/.301	.047	.287	3	14	12%	9%	74	-0.0
✕Chris Duffy 2009 · MLB	29	52→62	41→45	60	48	.249/.310/.359	.110	.297	8	30	18%	7%	89	+1.0	.225/.282/.338	.113	.300	9	16	26%	6%	72	-0.2	.224/.271/.332	.108	.319	7	16	31%	4%	63	-0.5
✕Mike Freeman 2018 · MLB	30	55→60	39→45	56→55	45	.259/.308/.345	.086	.329	5	13	22%	6%	84	+0.6	.238/.295/.343	.105	.316	10	10	26%	7%	79	+0.3	.220/.290/.326	.106	.292	12	7	27%	8%	69	-0.2
✕Hernan Iribarren 2014 · AAA	30	52→62	37→40	54→55	46	.246/.296/.319	.073	.309	4	18	21%	6%	72	-0.2	.241/.286/.307	.066	.300	3	9	19%	6%	65	-0.7	.270/.303/.345	.075	.327	3	3	18%	5%	78	+0.1

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)