Jacob Nottingham

Jacob NottinghamC Tacoma Rainiers

Age 31 R/R 6'2" / 220 lbs AAA HR +3% Svc 8.000 · Ctrl thru 2026 peak 0.2 · 2026

wRC+†63

AVG/OBP/SLG.196 / .264 / .325

PA200

HR5

K%34

BB%6

MLB%10%

trajectory · 10 yrs

0.0peak

2026

Contract

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

Status FA

MLB Debut 2018

Service 8.000 yrs.days

Team Control Through 2026

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$0.9M	+0.2	$0.8M	-$0.1M
Totals		$0.9M		$0.8M	-$0.1M

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
2013	18	ROK	GCL Astros	173	154	28	7	1	1	13	55	3	4	2	.182	.259	.260	.519	.078	.267	32	8	.232	36	-13	+0	+0	+3	+5	-0.5
2014	19	ROK	Greeneville Astros	200	181	31	7	1	4	11	77	3	3	2	.171	.231	.287	.518	.116	.260	38	6	.217	24	-17	-0	+0	+4	+6	-0.8
2015	20	A+	2 teams	511	476	124	24	2	11	22	128	10	2	2	.261	.307	.389	.696	.128	.332	25	4	.300	88	-7	-0	+0	+9	+14	1.6
2016	21	AA	2 teams	533	500	91	13	0	9	20	210	8	9	3	.182	.225	.262	.487	.080	.288	39	4	.220	27	-44	+1	+0	+10	+15	-1.9
2017	22	AA	Biloxi Shuckers	385	340	58	19	2	6	22	119	20	7	3	.171	.262	.291	.553	.121	.240	31	6	.242	43	-25	+0	+0	+7	+11	-0.7
2018	23	AAA	2 teams	220	202	37	7	1	6	14	89	4	2	1	.183	.250	.317	.567	.134	.290	40	6	.252	51	-12	+0	+1	+4	+6	-0.1
2019	24	AAA	San Antonio Missions	332	300	50	14	0	4	18	125	9	6	1	.167	.235	.253	.489	.087	.261	38	5	.222	28	-27	+1	-0	+6	+9	-1.1
2020	25	MLB	Milwaukee Brewers	54	48	9	1	0	4	5	20	1	0	0	.188	.278	.458	.736	.271	.208	37	9	.317	101	+0	+0	+2	+1	+2	0.5
2021	26	MLB	Seattle Mariners	45	40	6	1	0	3	2	20	2	0	0	.150	.227	.400	.627	.250	.167	44	4	.275	69	-2	+0	-0	-1	+1	-0.1
2022	27	AAA	2 teams	373	331	66	10	1	14	26	122	12	13	3	.199	.282	.363	.644	.163	.261	33	7	.283	75	-11	+1	+0	+7	+11	0.8
2023	28	AAA	2 teams	238	217	36	7	0	8	12	84	9	1	1	.166	.239	.309	.548	.143	.224	35	5	.243	44	-15	-0	+0	+4	+7	-0.4
2025	30	AAA	Tacoma Rainiers	65	58	8	4	0	0	3	31	3	0	0	.138	.219	.207	.426	.069	.286	48	5	.201	12	-6	+0	+0	+1	+2	-0.4
▸ 2026 Season
2026	31	MLB	SEA	200	181	36	7	1	5	12	68	5	3	1	.199	.268	.331	.599	.133	.281	34	6	.268	63	-8	+0	+1	+4	+6	0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	32	MLB 20%	SEA	170	153	31	6	1	4	11	57	4	2	1	.203	.274	.333	.607	.131	.281	34	6	.269	64	-7	+0	-3	+3	+5	-0.2
2028	33	MLB 33%	SEA	137	124	25	5	1	3	9	45	3	1	0	.202	.272	.331	.603	.129	.280	33	7	.267	63	-6	+0	-4	+2	+4	-0.3
2029	34	MLB 43%	SEA	98	90	16	3	0	2	6	33	2	1	0	.178	.245	.278	.523	.100	.279	34	6	.264	60	-4	+0	-5	+2	+3	-0.4
▸ Career Totals (MLE all levels + projections)
Career	—			3734	3395	652	135	11	84	206	1283	98	54	20	.192	.258	.313	.571	.120	.276	34	6	.253	52	-204	+3	-8	+65	+106	-3.9
/ 162G	—			650	591	114	24	2	15	36	223	17	9	3	.193	.259	.316	.576	.124	.277	34	6	.253	52	-35	+1	-1	+11	+18	-0.7

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
2013	18	ROK	GCL Astros	173	146	36	10	2	1	21	38	3	4	2	.247	.353	.363	.716	.116	.318	22	12	.323	105	+1	+0	—	—	+5	0.6
2014	19	ROK	Greeneville Astros	200	174	40	10	1	5	18	54	3	3	2	.230	.313	.385	.698	.155	.294	27	9	.307	93	-2	-0	—	—	+6	0.4
2015	20	A+	Stockton Ports	258	235	72	15	1	7	15	48	5	1	0	.306	.361	.468	.829	.162	.355	19	6	.364	137	+11	+0	—	—	+7	1.9
2015	20	A	Quad Cities River Bandits	253	230	75	18	1	10	18	51	5	1	2	.326	.387	.543	.931	.217	.385	20	7	.409	171	+20	-1	—	—	+7	2.7
2016	21	AA	Biloxi Shuckers	456	415	97	14	0	11	29	138	8	9	2	.234	.296	.347	.643	.113	.320	30	6	.290	80	-10	+1	—	—	+13	0.4
2016	21	INTL	Salt River Rafters	77	74	15	3	0	1	2	24	0	0	1	.203	.224	.284	.507	.081	.280	31	3	.224	30	-6	-0	—	—	+2	-0.4
2017	22	AA	Biloxi Shuckers	385	325	68	21	2	9	37	87	20	7	3	.209	.327	.369	.696	.160	.255	23	10	.317	101	+0	+0	—	—	+11	1.2
2018	23	MLB	Milwaukee Brewers	24	20	4	1	0	0	4	8	0	0	0	.200	.333	.250	.583	.050	.333	33	17	.283	75	-1	+0	+1	+4	+1	0.5
2018	23	AAA	Colorado Springs Sky Sox	196	178	50	10	2	10	14	59	4	2	1	.281	.347	.528	.875	.247	.367	30	7	.382	151	+11	+0	—	—	+6	1.7
2019	24	AAA	San Antonio Missions	332	290	67	21	0	5	28	95	9	6	1	.231	.318	.355	.673	.124	.318	29	8	.303	90	-4	+1	—	—	+9	0.7
2020	25	MLB	Milwaukee Brewers	54	48	9	1	0	4	5	20	1	0	0	.188	.278	.458	.736	.271	.208	37	9	.323	105	+0	+0	+2	+1	+2	0.5
2021	26	MLB	Seattle Mariners	45	40	6	1	0	3	2	20	2	0	0	.150	.227	.400	.627	.250	.167	44	4	.271	66	-2	+0	-0	-1	+1	-0.1
2022	27	AAA	Norfolk Tides	354	301	69	12	1	15	37	98	12	12	3	.229	.337	.425	.762	.196	.281	28	10	.339	118	+7	+1	—	—	+10	1.9
2022	27	INTL	Tigres del Licey	19	17	5	1	0	0	2	6	0	1	0	.294	.368	.353	.721	.059	.455	32	11	.332	112	+0	+0	—	—	+1	0.1
2023	28	AAA	Rochester Red Wings	221	197	43	10	0	10	15	64	9	1	1	.218	.303	.421	.724	.203	.268	29	7	.324	106	+1	-0	—	—	+6	0.8
2023	28	INTL	Tigres del Licey	17	17	4	0	0	0	0	5	0	0	0	.235	.235	.235	.471	.000	.333	29	0	.213	21	-2	+0	—	—	+0	-0.1
2025	30	AAA	Tacoma Rainiers	65	57	11	6	0	0	4	25	3	0	0	.193	.281	.298	.579	.105	.333	38	6	.265	61	-3	+0	—	—	+2	-0.1
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			123	108	19	3	0	7	11	48	3	0	0	.176	.270	.398	.669	.222	.222	39	9	.296	85	-2	+0	+3	+4	+3	0.9

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
Jacob Nottingham (OGILVIE)	31	—	—	—	—	.196/.264/.325	.129	.281	5	3	34%	6%	63	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Joe Hudson 2022 · MLB	31	36	44→45	47→40	39	.188/.240/.299	.111	.269	13	5	35%	6%	44	-2.1	.203/.283/.350	.147	.288	19	8	34%	9%	77	+0.1	.183/.287/.336	.152	.261	22	8	36%	11%	73	-0.0
✕Seth Bynum 2012 · AAA	31	42→44	49→55	51→50	38	.216/.261/.362	.146	.290	18	12	32%	5%	70	-0.3	.204/.256/.327	.123	.296	13	10	34%	6%	59	-1.1	.180/.234/.285	.105	.269	11	6	36%	5%	35	-1.9
✕Jett Bandy 2021 · MLB	31	40	49→50	44→45	38	.209/.270/.352	.143	.267	18	6	29%	4%	72	-0.2	.213/.276/.337	.124	.297	14	8	32%	6%	70	-0.3	.172/.245/.252	.080	.248	10	0	33%	6%	37	-0.5
✕David Matranga 2008 · AAA	31	40	46→45	50	43	.204/.272/.327	.122	.263	14	12	28%	7%	66	-0.6	.217/.291/.342	.125	.292	13	9	29%	8%	78	+0.2	.211/.297/.329	.119	.288	12	5	29%	9%	75	+0.0
✕Brandon Hicks 2016 · MLB	30	37→40	46→50	47→50	40	.188/.262/.313	.125	.291	14	6	38%	8%	58	-1.2	.194/.263/.307	.113	.327	12	10	41%	8%	57	-1.2	.169/.240/.260	.091	.301	11	12	45%	8%	32	-1.5
✕Kevin Richardson 2011 · AAA	30	37	49→50	48→40	31	.191/.236/.331	.140	.301	18	5	42%	5%	52	-1.6	.210/.261/.350	.140	.339	16	6	41%	5%	67	-0.5	.205/.263/.335	.130	.337	15	0	41%	6%	60	-0.5
✕Jason Smith 2008 · MLB	31	43→35	50→55	50	36	.222/.263/.378	.156	.299	18	11	32%	5%	75	-0.0	.195/.229/.331	.136	.280	16	9	36%	4%	48	-1.9	.170/.200/.289	.119	.245	14	9	37%	3%	22	-2.4
✕Cody Ransom 2007 · MLB	31	39→41	49→55	46→50	41	.205/.264/.346	.141	.280	17	7	32%	7%	67	-0.5	.209/.273/.378	.169	.267	21	12	29%	7%	80	+0.4	.217/.285/.398	.181	.290	23	7	32%	8%	87	+0.6
✕Chad Wallach 2023 · MLB	31	36→46	46→50	49→40	42	.187/.258/.312	.125	.264	15	4	34%	8%	56	-1.3	.199/.266/.335	.136	.282	17	5	34%	7%	66	-0.6	.192/.260/.330	.139	.268	19	2	35%	7%	60	-0.5
✕Dusty Coleman 2018 · MLB	31	39→43	47→50	51→50	35	.198/.251/.338	.139	.298	15	14	38%	5%	59	-1.1	.171/.223/.301	.130	.330	15	12	50%	5%	39	-2.5	.114/.167/.218	.104	.254	13	11	58%	5%	-9	-3.2
✕Mike Rose 2007 · MLB	30	39	48→50	47→40	43	.202/.265/.345	.144	.270	16	5	31%	7%	67	-0.5	.211/.267/.337	.126	.284	14	5	29%	7%	66	-0.6	.206/.259/.307	.101	.276	11	2	28%	7%	54	-0.5
✕Matt Pagnozzi 2015 · MLB	32	37	45	47→40	40	.193/.251/.306	.113	.249	14	3	29%	6%	52	-1.6	.210/.265/.321	.111	.268	13	6	26%	6%	61	-1.0	.206/.263/.282	.076	.258	8	0	22%	7%	49	-0.7
✕Dustin Garneau 2019 · MLB	31	39→38	50	41→45	44	.205/.268/.357	.152	.248	18	4	25%	7%	72	-0.2	.208/.285/.373	.165	.267	19	4	29%	8%	84	+0.6	.172/.264/.349	.177	.216	22	1	31%	8%	67	-0.2
✕Aramis Garcia 2023 · MLB	30	42→41	43→50	43→45	36	.212/.254/.318	.106	.286	12	5	30%	4%	55	-1.4	.197/.247/.340	.143	.272	20	7	34%	5%	59	-1.1	.174/.239/.321	.147	.238	22	6	37%	6%	49	-0.8
✕Brett Hayes 2015 · MLB	31	38	50→45	50→40	36	.205/.240/.356	.151	.265	19	6	31%	4%	59	-1.1	.185/.224/.299	.114	.245	13	5	30%	4%	37	-2.6	.153/.195/.232	.080	.211	9	0	32%	4%	5	-1.5
✕Grayson Greiner 2022 · MLB	29	40	44→45	47→30	40	.200/.262/.313	.113	.299	13	4	36%	7%	58	-1.2	.195/.259/.307	.112	.360	12	6	45%	7%	55	-1.4	.163/.227/.268	.105	.321	15	3	51%	7%	28	-0.9
✕Deven Marrero 2022 · MLB	31	40→48	46→45	49→50	41	.204/.260/.327	.122	.285	15	9	33%	7%	60	-1.0	.218/.277/.332	.114	.295	13	12	29%	7%	69	-0.4	.206/.271/.286	.080	.268	9	15	25%	8%	49	-0.5
✕José Briceño 2023 · AAA	30	40	47→45	48→45	37	.209/.251/.344	.134	.266	15	7	28%	4%	61	-1.0	.214/.256/.359	.145	.271	19	7	28%	4%	67	-0.5	.188/.225/.330	.142	.222	24	0	29%	4%	43	-0.7
✕Jeff Arnold 2018 · AAA	30	37	44→50	42→40	37	.183/.248/.296	.114	.298	11	4	40%	7%	48	-1.9	.180/.244/.281	.101	.329	10	5	45%	7%	42	-2.3	.132/.201/.198	.066	.266	7	0	50%	8%	0	-2.0
✕Eli Whiteside 2011 · MLB	31	42	46→50	44→40	40	.213/.261/.341	.128	.271	14	6	27%	5%	64	-0.8	.198/.255/.306	.108	.259	11	5	27%	6%	53	-1.5	.165/.222/.244	.079	.222	8	2	28%	6%	19	-1.5

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)