Josh Adamczewski

Josh AdamczewskiSS Wisconsin Timber Rattlers

Age 21 L/R 5'11" / 190 lbs A+ BB +10%HR +7% Svc 0.0 · Ctrl thru 2035 peak 2.4 · 2031

wRC+†116

AVG/OBP/SLG.230 / .309 / .364

PA302

HR7

SB6

K%25

BB%9

MLB%0%

Scouting · now → future

HIT

32↗50

PWR

40↗50

SPD

50↘48

FLD

22↗37

EYE

57↗60

trajectory · 10 yrs

3.2peak

2032

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	+2.2	$20M	+$19M
2031	Arb-3	$0.9M	+2.4	$22M	+$21M
2032	Ext / FA-deal	$0.9M	+2.4	$23M	+$22M
2033	Ext / FA-deal	$5M	+2.3	$23M	+$18M
2034	Ext / FA-deal	$7M	+2.1	$21M	+$14M
2035	Ext / FA-deal	$9M	+1.8	$19M	+$9M
Totals		$24M		$128M	+$104M

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	19	ROK	2 teams	183	159	37	11	0	2	20	51	4	8	3	.233	.333	.340	.673	.107	.330	28	11	.304	91	-2	+0	+0	+2	+5	0.6
2025	20	A	4 teams	390	341	91	18	4	5	36	93	6	11	2	.267	.347	.387	.734	.120	.344	24	9	.324	106	+3	+1	+0	+4	+11	2.0
▸ 2026 Season (actual · ROS · total)
2026	21	A+	Wisconsin Timber Rattlers	51	42	12	2	0	4	8	12	1	1	0	.286	.412	.619	1.031	.333	.308	24	16	.427	185	+5	+0	+0	+1	+1	0.7
ROS	21	MLB	MIL	251	221	52	10	1	7	25	61	3	5	1	.235	.321	.385	.706	.149	.293	24	10	.319	102	+1	+1	-4	+3	+7	0.8
TOT	21	MLB	MIL	302	263	64	12	1	11	33	73	4	6	1	.243	.337	.422	.759	.179	.294	24	11	.337	116	+6	+1	-4	+3	+9	1.5
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	22	MLB 11%	MIL	355	312	75	15	2	10	35	81	5	7	1	.240	.327	.397	.724	.157	.288	23	10	.321	104	+1	+1	-5	+4	+10	1.2
2028	23	MLB 28%	MIL	431	378	92	18	2	13	44	96	6	8	1	.243	.332	.405	.737	.161	.289	22	10	.327	109	+4	+1	-6	+5	+12	1.6
2029	24	MLB 45%	MIL	481	422	103	20	2	15	50	106	6	9	2	.244	.333	.408	.740	.164	.289	22	10	.331	112	+6	+1	-7	+5	+14	2.0
2030	25	MLB 60%	MIL	508	442	109	21	3	16	54	111	7	10	2	.247	.338	.416	.754	.170	.290	22	11	.334	114	+8	+1	-7	+5	+14	2.2
2031	26	MLB 78%	MIL	523	455	113	22	3	17	56	114	7	10	1	.248	.340	.422	.762	.174	.290	22	11	.336	115	+9	+2	-7	+6	+15	2.4
2032	27	MLB 92%	MIL	527	458	114	22	3	17	57	115	7	10	1	.249	.341	.421	.762	.172	.290	22	11	.336	115	+9	+2	-8	+6	+15	2.4
2033	28	MLB	MIL	526	457	113	22	3	17	57	116	7	9	1	.247	.340	.420	.760	.173	.290	22	11	.335	114	+9	+1	-8	+6	+15	2.3
2034	29	MLB	MIL	518	449	109	21	2	16	57	116	7	8	1	.243	.337	.405	.743	.163	.289	22	11	.333	113	+8	+1	-9	+6	+15	2.1
2035	30	MLB	MIL	508	441	106	20	2	16	56	115	6	8	0	.240	.334	.404	.738	.163	.288	23	11	.330	111	+6	+2	-9	+5	+14	1.8
2036	31	MLB	MIL	495	432	103	20	2	15	54	115	6	7	0	.238	.331	.398	.729	.160	.287	23	11	.326	108	+4	+1	-10	+5	+14	1.5
2037	32	MLB	MIL	477	416	98	19	2	14	52	113	6	6	0	.236	.329	.392	.721	.156	.285	24	11	.321	104	+2	+1	-10	+5	+14	1.2
2038	33	MLB	MIL	448	391	89	17	2	12	49	109	5	6	0	.228	.321	.373	.695	.146	.284	24	11	.316	100	-0	+1	-11	+5	+13	0.8
2039	34	MLB	MIL	402	350	80	15	2	11	44	101	5	5	0	.229	.323	.377	.700	.149	.282	25	11	.309	95	-2	+1	-11	+4	+11	0.4
2040	35	MLB	MIL	348	304	66	12	1	9	37	91	4	5	0	.217	.310	.352	.662	.135	.280	26	11	.301	89	-4	+1	-11	+4	+10	-0.0
2041	36	MLB	MIL	290	254	54	10	1	7	31	79	3	4	0	.213	.306	.343	.648	.130	.277	27	11	.292	82	-6	+1	-10	+3	+8	-0.4
2042	37	MLB	MIL	226	197	41	7	1	5	24	64	3	3	0	.208	.304	.330	.634	.122	.273	28	11	.282	74	-7	+1	-10	+2	+6	-0.8
2043	38	MLB	MIL	158	139	28	5	1	3	16	46	2	2	0	.201	.293	.317	.610	.115	.268	29	10	.272	66	-6	+0	-10	+2	+4	-1.0
▸ Career Totals (MLE all levels + projections)
Career	—			8045	7018	1673	325	39	227	854	1893	105	141	16	.238	.330	.393	.723	.154	.293	24	11	.322	105	+43	+22	-153	+86	+228	23.0
/ 162G	—			650	567	134	26	3	18	69	153	8	11	1	.236	.328	.388	.716	.152	.290	24	11	.322	105	+3	+2	-12	+7	+18	1.9

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	19	A	Carolina Mudcats	41	33	9	5	0	1	7	10	1	0	0	.273	.415	.515	.930	.242	.364	24	17	.411	172	+3	+0	—	—	+1	0.5
2024	19	ROK	ACL Brewers	142	113	38	10	0	2	26	26	3	8	3	.336	.472	.478	.950	.142	.424	18	18	.429	186	+14	+0	—	—	+4	1.9
2025	20	A+	Wisconsin Timber Rattlers	65	56	11	3	0	0	8	11	0	3	0	.196	.297	.250	.547	.054	.239	17	12	.257	55	-3	+1	—	—	+2	-0.1
2025	20	A	Carolina Mudcats	206	167	60	12	4	5	29	37	5	4	0	.359	.465	.569	1.034	.210	.426	18	14	.444	198	+23	+1	—	—	+6	3.0
2025	20	ROK	ACL Brewers	37	30	10	3	1	0	6	5	0	0	1	.333	.444	.500	.944	.167	.385	14	16	.408	170	+3	-0	—	—	+1	0.4
2025	20	INTL	Surprise Saguaros	82	65	18	5	0	4	15	17	1	4	1	.277	.420	.538	.958	.262	.311	21	18	.416	176	+7	+0	—	—	+2	1.0

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
Josh Adamczewski (OGILVIE)	21	32→50	40→50	50→48	60	.230/.309/.364	.134	.292	7	5	25%	9%	92	+0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●LaMonte Wade Jr. 2016 · A	22	46→54	45→55	55→45	53	.229/.307/.355	.125	.265	13	10	19%	9%	87	+0.8	.239/.318/.350	.111	.280	10	8	17%	9%	91	+1.1	.238/.339/.417	.179	.270	23	4	20%	12%	114	+1.9
●Colt Keith 2023 · A	21	49→53	46→55	53→45	45	.236/.300/.372	.137	.327	13	8	31%	8%	89	+0.9	.251/.308/.410	.159	.313	18	5	25%	7%	102	+1.8	.253/.314/.408	.154	.307	18	4	23%	8%	102	+1.6
●Kolten Wong 2012 · A	21	51→60	45→50	48→55	48	.248/.300/.374	.126	.278	11	12	16%	6%	89	+0.9	.251/.296/.362	.111	.291	9	18	17%	5%	84	+0.6	.270/.354/.410	.140	.305	12	16	15%	9%	112	+2.0
●Brian Goodwin 2013 · AA	22	46→52	47→60	48→50	48	.228/.298/.366	.138	.291	14	13	26%	8%	87	+0.8	.216/.287/.334	.118	.296	10	14	28%	8%	74	-0.1	.243/.309/.437	.195	.311	23	11	28%	8%	105	+1.3
●J.P. Crawford 2016 · AA	21	52→58	41→45	48→50	53	.248/.314/.348	.100	.291	8	13	17%	8%	88	+0.9	.222/.296/.324	.102	.270	9	9	20%	9%	75	-0.0	.263/.355/.386	.123	.307	11	2	17%	11%	113	+2.8
✕Colin Moran 2014 · A	21	48→57	43→55	50→30	45	.234/.283/.345	.110	.286	10	6	22%	6%	74	-0.1	.246/.290/.349	.103	.318	9	3	24%	6%	77	+0.1	.271/.332/.429	.158	.324	19	0	21%	8%	111	+1.6
✕Juan Brito 2023 · A	21	47→48	46→50	47→45	53	.232/.316/.369	.138	.282	13	11	22%	10%	95	+1.4	.228/.308/.369	.141	.274	14	9	21%	9%	92	+1.2	.219/.301/.361	.142	.260	15	9	21%	9%	84	+0.5
●Sean Rodríguez 2006 · A	21	43→49	45→60	49→50	53	.215/.299/.346	.130	.255	12	15	21%	10%	82	+0.5	.228/.299/.394	.166	.292	19	11	28%	7%	95	+1.4	.238/.311/.439	.201	.293	25	12	27%	7%	107	+1.7
●Graham Pauley 2023 · A	22	46→51	45→55	49→50	51	.225/.302/.352	.127	.274	12	12	22%	9%	85	+0.7	.233/.299/.395	.162	.280	19	11	23%	8%	95	+1.4	.223/.293/.390	.167	.262	20	11	23%	8%	88	+0.7
●Eddie Rosario 2013 · A	21	49→55	50→60	49→50	43	.249/.288/.408	.159	.297	17	12	23%	5%	93	+1.3	.245/.280/.388	.143	.307	13	10	24%	5%	84	+0.6	.277/.313/.475	.198	.296	27	7	17%	5%	116	+2.8
●Brandon Marsh 2019 · A	21	47→57	42→50	52→50	41	.223/.282/.334	.110	.330	9	10	33%	7%	71	-0.3	.223/.283/.328	.105	.333	8	13	33%	7%	70	-0.3	.262/.344/.424	.163	.366	16	16	30%	11%	115	+2.2
●Colby Rasmus 2008 · AA	21	43→53	52→60	54→50	45	.225/.291/.400	.174	.276	20	15	26%	7%	93	+1.3	.234/.302/.399	.165	.280	20	13	23%	8%	97	+1.5	.237/.305/.454	.217	.309	28	3	32%	8%	109	+1.8
●Ian Stewart 2006 · A	21	45→52	50→60	46→45	43	.226/.288/.388	.162	.304	16	4	30%	7%	88	+0.9	.235/.296/.391	.156	.309	15	6	27%	7%	92	+1.2	.239/.315/.432	.193	.304	23	9	28%	9%	108	+2.0
●TJ Friedl 2017 · A	21	48→53	42→50	51→55	42	.228/.286/.337	.109	.309	8	10	28%	6%	73	-0.1	.226/.293/.326	.100	.295	6	15	24%	7%	74	-0.1	.246/.337/.381	.136	.276	15	18	16%	10%	103	+1.8
✕Jason Martin 2017 · A	21	43→50	45→60	48→50	45	.216/.275/.346	.130	.280	12	13	27%	7%	71	-0.3	.222/.270/.365	.143	.297	15	12	29%	6%	74	-0.1	.218/.285/.408	.191	.271	26	8	29%	8%	90	+0.7
●Vaughn Grissom 2022 · A	21	52→62	42→50	53→55	48	.250/.318/.360	.110	.306	9	11	21%	7%	93	+1.3	.269/.332/.397	.128	.319	12	17	19%	7%	108	+2.3	.268/.333/.391	.123	.317	12	18	19%	7%	103	+1.6
●Justin Yurchak 2018 · A	21	51→61	44→40	49→40	52	.249/.317/.367	.118	.295	12	4	20%	9%	94	+1.3	.228/.288/.319	.091	.284	7	2	21%	8%	69	-0.4	.273/.337/.381	.107	.337	11	2	21%	8%	103	+1.1
●Lonnie Chisenhall 2010 · AA	21	42→52	51→55	48→45	41	.222/.268/.385	.163	.267	19	5	25%	5%	79	+0.3	.237/.286/.385	.148	.280	17	4	21%	5%	86	+0.8	.267/.320/.428	.161	.310	17	4	19%	6%	110	+1.7
✕Richi Sanchez 2015 · A	21	49	38→45	49→50	54	.230/.313/.315	.085	.291	5	8	21%	10%	79	+0.3	.213/.274/.290	.077	.279	3	7	23%	7%	56	-1.3	.202/.252/.280	.079	.255	0	6	20%	6%	40	-0.6
✕Jaff Decker 2011 · A	21	47→50	53→55	46→55	52	.239/.332/.416	.177	.308	21	8	28%	11%	114	+2.7	.209/.295/.362	.153	.280	17	9	30%	10%	85	+0.7	.223/.297/.332	.109	.287	9	13	24%	9%	75	+0.0

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)