Joshua Kuroda-Grauer

Joshua Kuroda-GrauerSS Midland RockHounds

Age 23 R/R 5'10" / 205 lbs AA HR -6%K -4% Svc 0.0 · Ctrl thru 2034 peak 2.2 · 2030

wRC+†96

AVG/OBP/SLG.259 / .313 / .345

PA320

HR4

SB14

K%12

BB%6

MLB%2%

Scouting · now → future

HIT

49↗57

PWR

27↗34

SPD

51↗54

FLD

50↗52

EYE

39↘34

trajectory · 10 yrs

2.1peak

2029

Contract

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

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2029
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Arb-1	$0.8M	+2.1	$18M	+$18M
2030	Arb-2	$0.9M	+2.2	$20M	+$19M
2031	Arb-3	$0.9M	+2.0	$19M	+$18M
2032	Ext / FA-deal	$4M	+1.8	$17M	+$13M
2033	Ext / FA-deal	$5M	+1.6	$16M	+$10M
2034	Ext / FA-deal	$7M	+1.3	$13M	+$6M
Totals		$19M		$103M	+$84M

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
2024	21	A	2 teams	113	99	30	2	0	0	9	11	5	5	2	.303	.389	.323	.713	.020	.341	10	8	.318	101	+0	+0	+0	+1	+3	0.5
2025	22	A+	3 teams	614	570	139	24	1	2	30	72	12	34	6	.244	.296	.300	.596	.056	.276	12	5	.263	59	-28	+4	+0	+7	+17	0.0
▸ 2026 Season (actual · ROS · total)
2026	23	AA	Midland RockHounds	86	84	22	6	1	4	1	12	1	6	1	.262	.279	.500	.779	.238	.265	14	1	.335	115	+1	+1	+0	+1	+2	0.6
ROS	23	MLB	OAK	234	217	57	11	1	4	11	29	4	8	2	.263	.310	.378	.688	.115	.282	12	5	.303	90	-3	+1	+0	+3	+7	0.8
TOT	23	MLB	OAK	320	301	79	17	2	8	12	41	5	14	3	.262	.302	.412	.714	.150	.281	13	4	.311	96	-1	+2	+0	+3	+9	1.3
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	24	MLB 11%	OAK	486	448	115	21	2	8	27	56	8	15	3	.257	.311	.366	.677	.109	.277	12	6	.303	90	-5	+2	+0	+5	+14	1.6
2028	25	MLB 26%	OAK	514	470	122	23	2	9	31	63	8	14	3	.260	.316	.374	.691	.115	.279	12	6	.309	95	-3	+2	+0	+6	+15	1.9
2029	26	MLB 44%	OAK	529	482	124	23	2	10	34	67	8	14	3	.257	.317	.376	.692	.118	.280	13	6	.312	97	-2	+2	+0	+6	+15	2.1
2030	27	MLB 59%	OAK	534	486	126	23	2	11	35	70	8	13	2	.259	.319	.383	.702	.123	.281	13	7	.312	97	-2	+2	+0	+6	+15	2.2
2031	28	MLB 69%	OAK	532	484	124	23	2	10	35	70	8	12	2	.256	.317	.374	.691	.118	.280	13	7	.311	97	-2	+2	-0	+6	+15	2.0
2032	29	MLB 77%	OAK	525	477	123	23	2	10	35	71	8	11	2	.258	.319	.377	.697	.119	.280	14	7	.309	95	-3	+1	-1	+6	+15	1.8
2033	30	MLB 85%	OAK	515	468	119	22	2	9	34	71	8	10	1	.254	.316	.368	.683	.113	.279	14	7	.307	93	-4	+2	-2	+6	+15	1.6
2034	31	MLB 91%	OAK	502	457	115	21	2	9	33	72	7	8	0	.252	.312	.365	.677	.114	.278	14	7	.303	90	-6	+2	-2	+5	+14	1.3
2035	32	MLB	OAK	484	442	110	20	2	8	32	72	7	7	0	.249	.310	.357	.667	.109	.277	15	7	.299	87	-7	+1	-3	+5	+14	1.0
2036	33	MLB	OAK	455	416	100	18	1	7	30	70	6	7	0	.240	.301	.339	.640	.099	.276	15	7	.293	83	-9	+1	-4	+5	+13	0.7
2037	34	MLB	OAK	409	373	89	16	1	6	27	67	6	6	0	.239	.300	.335	.636	.097	.275	16	7	.287	78	-10	+1	-5	+4	+12	0.3
2038	35	MLB	OAK	355	324	76	13	1	5	23	62	5	6	0	.235	.295	.327	.623	.093	.274	17	6	.280	73	-11	+1	-5	+4	+10	-0.1
2039	36	MLB	OAK	296	271	62	11	1	3	19	54	4	5	0	.229	.289	.310	.599	.081	.272	18	6	.272	67	-11	+1	-6	+3	+8	-0.5
▸ Career Totals (MLE all levels + projections)
Career	—			7097	6484	1631	294	24	111	445	977	112	175	26	.252	.311	.356	.666	.104	.280	14	6	.299	87	-106	+25	-26	+76	+201	17.3
/ 162G	—			650	594	149	27	2	10	41	89	10	16	2	.251	.310	.354	.664	.103	.279	14	6	.299	87	-10	+2	-2	+7	+18	1.6

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
2024	21	A+	Lansing Lugnuts	50	42	12	2	0	0	5	3	3	1	1	.286	.400	.333	.733	.048	.308	6	10	.346	123	+1	-0	—	—	+1	0.3
2024	21	A	Stockton Ports	63	54	21	0	0	0	7	5	2	4	1	.389	.476	.389	.865	.000	.429	8	11	.403	166	+5	+0	—	—	+2	0.7
2025	22	AA	Midland RockHounds	183	163	49	9	0	2	14	12	5	1	0	.301	.374	.393	.766	.092	.313	7	8	.347	124	+5	+0	—	—	+5	1.1
2025	22	A+	Lansing Lugnuts	366	334	98	21	1	0	26	37	5	26	6	.293	.353	.362	.716	.069	.330	10	7	.326	107	+3	+3	—	—	+10	1.7
2025	22	INTL	Mesa Solar Sox	65	58	20	6	1	0	5	7	2	7	0	.345	.415	.483	.898	.138	.392	11	8	.401	165	+5	+1	—	—	+2	0.8

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
Joshua Kuroda-Grauer (OGILVIE)	23	49→57	27→34	51→54	34	.259/.313/.345	.086	.288	4	8	12%	6%	87	+0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Mauricio Dubón 2017 · AA	23	55→60	39→45	55	45	.260/.300/.351	.092	.307	5	19	17%	5%	82	+0.5	.246/.283/.350	.104	.292	9	22	18%	5%	75	-0.0	.262/.299/.376	.114	.288	10	6	13%	4%	87	+0.6
●Chin-Lung Hu 2007 · AA	23	53→61	40→45	49→50	46	.254/.294/.346	.092	.285	7	12	14%	5%	79	+0.3	.259/.293/.370	.111	.292	9	11	14%	4%	84	+0.6	.266/.297/.377	.110	.298	8	11	13%	4%	82	+0.4
✕Jose Aguilar 2013 · AAA	23	55→60	40→45	50→55	47	.261/.316/.351	.090	.305	7	16	17%	6%	89	+1.0	.274/.327/.373	.099	.314	8	16	15%	6%	99	+1.7	.282/.339/.384	.102	.318	8	16	13%	6%	103	+1.3
✕Otto Lopez 2022 · AAA	23	55→59	39→45	52→55	44	.262/.307/.356	.094	.324	6	17	21%	5%	86	+0.8	.257/.307/.355	.098	.319	6	18	20%	6%	85	+0.7	.266/.318/.393	.127	.299	13	20	16%	7%	97	+1.0
✕Tyler Freeman 2022 · AA	23	53→56	39→40	51→55	43	.251/.300/.347	.096	.288	5	11	15%	4%	82	+0.5	.253/.325/.350	.097	.286	9	14	14%	6%	94	+1.3	.245/.329/.340	.095	.274	10	18	14%	6%	90	+0.7
✕Osleivis Basabe 2023 · AA	22	56→61	40→45	56→50	46	.264/.308/.367	.104	.313	5	17	17%	6%	89	+1.0	.246/.291/.352	.106	.299	7	13	19%	5%	79	+0.3	.230/.277/.338	.108	.280	9	11	21%	5%	67	-0.4
✕Tyler Pastornicky 2013 · MLB	23	52→61	41→45	52→60	47	.251/.295/.353	.102	.287	8	19	16%	6%	80	+0.4	.250/.291/.334	.084	.294	6	12	16%	5%	74	-0.1	.253/.295/.319	.066	.297	4	10	16%	5%	67	-0.3
●Kevin Newman 2017 · AA	23	56→63	39→45	49→50	51	.267/.321/.354	.088	.295	6	11	12%	6%	92	+1.2	.258/.298/.347	.089	.294	6	14	14%	5%	80	+0.4	.274/.318/.369	.096	.306	8	18	13%	5%	90	+0.8
✕Nick Madrigal 2020 · AAA	23	55→57	37→40	52→50	51	.256/.304/.334	.078	.264	4	23	6%	5%	79	+0.3	.263/.311/.338	.075	.283	4	15	8%	5%	83	+0.6	.271/.324/.354	.083	.298	3	10	10%	5%	91	+0.5
●Nick Van Stratten 2008 · A	23	49→59	40	57→55	50	.233/.295/.337	.104	.258	6	12	13%	6%	77	+0.1	.255/.310/.354	.099	.300	5	12	16%	6%	88	+0.9	.304/.340/.384	.080	.341	3	23	11%	4%	103	+0.8
✕Johnny Giavotella 2011 · AA	24	52→59	41→45	49→50	49	.251/.303/.352	.102	.286	7	13	15%	7%	84	+0.6	.263/.310/.367	.104	.305	8	11	16%	6%	91	+1.1	.264/.313/.365	.102	.305	8	10	16%	6%	90	+1.0
✕Brendan Ryan 2006 · AA	24	53→61	40	54→55	48	.250/.297/.347	.097	.288	6	14	15%	6%	80	+0.4	.244/.291/.330	.086	.283	6	17	15%	6%	73	-0.1	.259/.310/.346	.087	.298	5	20	14%	6%	81	+0.3
●Ernie Clement 2019 · AA	23	54→58	37→50	47→50	50	.252/.301/.331	.079	.279	4	13	11%	6%	77	+0.1	.238/.282/.313	.075	.267	4	13	12%	5%	65	-0.7	.278/.311/.414	.137	.288	13	12	9%	4%	101	+1.4
●José Fermín 2022 · AA	23	47→51	42→45	47→55	48	.229/.286/.326	.098	.253	10	12	14%	6%	71	-0.3	.216/.296/.328	.112	.240	12	13	15%	8%	76	+0.1	.241/.336/.380	.139	.254	14	26	11%	10%	103	+0.9
✕Nicky Lopez 2018 · AA	23	51→61	38→40	52→55	50	.239/.294/.321	.082	.271	5	16	14%	6%	72	-0.2	.250/.303/.336	.086	.282	6	12	13%	7%	79	+0.3	.256/.317/.334	.078	.294	4	14	13%	8%	82	+0.4
✕Brandon Douglas 2010 · AA	24	57→56	37→40	51→50	48	.270/.317/.341	.070	.303	4	9	12%	5%	86	+0.8	.264/.306/.340	.076	.310	2	13	15%	5%	82	+0.5	.261/.302/.336	.075	.311	2	14	16%	5%	74	-0.0
✕Isiah Kiner-Falefa 2018 · AA	23	52→57	35→40	46→55	45	.243/.293/.304	.061	.290	3	11	17%	5%	67	-0.5	.243/.300/.327	.084	.291	5	12	18%	6%	76	+0.1	.268/.316/.348	.080	.304	6	21	14%	5%	85	+0.5
●L.J. Hoes 2013 · AAA	23	55→62	39→40	48→50	49	.261/.317/.353	.092	.315	6	14	19%	7%	90	+1.0	.262/.324/.351	.089	.321	5	15	19%	8%	92	+1.2	.262/.329/.344	.082	.325	4	18	19%	8%	89	+0.7
✕James Tomlin 2006 · AA	23	51→61	41→40	47→50	45	.248/.288/.351	.103	.290	8	12	18%	5%	77	+0.1	.250/.287/.345	.095	.295	5	12	16%	5%	75	-0.0	.267/.318/.352	.085	.327	2	16	18%	6%	86	+0.6
●Jake Elmore 2011 · AA	24	51→61	37→40	48→55	52	.238/.307/.315	.078	.285	4	16	17%	8%	76	+0.1	.251/.320/.331	.080	.301	4	19	16%	9%	86	+0.8	.266/.337/.349	.083	.314	3	23	15%	9%	95	+1.0

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)