Andrew Miller — OGILVIE

Andrew MillerC Everett AquaSox

Age 28 R/R 6'3" / 230 lbs A+ HR +3% Svc 0.0 · Ctrl thru 2035

wRC+†56

AVG/OBP/SLG.193 / .258 / .310

PA76

HR2

K%36

BB%7

MLB%0%

trajectory · 10 yrs

0.0peak

2026

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	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
Totals		$-4M		$-8M	-$4M

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
2022	24	ROK	ACL Mariners	68	62	12	1	1	1	6	27	0	3	1	.194	.265	.290	.555	.097	.324	40	9	.238	40	-5	+0	+0	+1	+2	-0.1
2023	25	A	2 teams	287	260	46	9	0	4	22	110	3	2	0	.177	.249	.258	.507	.081	.284	38	8	.229	34	-22	+0	+0	+5	+8	-0.8
2024	26	A+	Everett AquaSox	156	147	28	5	0	4	5	63	0	0	0	.190	.217	.306	.523	.116	.286	40	3	.220	27	-13	+0	+0	+3	+4	-0.6
2025	27	A+	Everett AquaSox	39	33	2	0	0	2	4	24	2	0	0	.061	.205	.242	.448	.182	.000	62	10	.188	2	-4	+0	+0	+1	+1	-0.3
▸ 2026 Season
2026	28	MLB	SEA	76	70	14	3	0	2	5	27	1	1	0	.200	.263	.329	.592	.129	.289	36	7	.259	56	-4	+0	+0	+1	+2	-0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	29	MLB 8%	SEA	109	99	19	4	0	2	8	38	1	1	0	.192	.259	.293	.552	.101	.289	35	7	.263	60	-5	+0	-1	+2	+3	-0.1
2028	30	MLB 18%	SEA	192	174	35	7	1	4	14	66	2	2	0	.201	.268	.322	.590	.121	.288	34	7	.265	61	-9	+0	-2	+3	+5	-0.1
2029	31	MLB 28%	SEA	219	199	39	7	1	5	16	75	2	1	0	.196	.263	.317	.579	.121	.287	34	7	.264	60	-10	+0	-3	+4	+6	-0.2
2030	32	MLB 39%	SEA	224	203	41	8	1	5	17	77	2	0	0	.202	.270	.325	.595	.123	.285	34	8	.261	58	-11	+0	-4	+4	+6	-0.4
2031	33	MLB 53%	SEA	208	189	37	7	1	4	15	73	2	0	0	.196	.262	.307	.569	.111	.284	35	7	.255	54	-11	+0	-4	+4	+6	-0.6
2032	34	MLB 70%	SEA	175	158	30	6	1	3	13	63	2	0	0	.190	.260	.297	.558	.108	.282	36	7	.249	49	-10	+0	-5	+3	+5	-0.7
▸ Career Totals (MLE all levels + projections)
Career	—			1753	1594	303	57	6	36	125	643	17	10	1	.190	.256	.301	.557	.111	.288	37	7	.248	48	-102	+2	-19	+31	+50	-3.9
/ 162G	—			650	591	112	21	2	13	46	238	6	4	0	.190	.255	.298	.552	.108	.288	37	7	.248	48	-38	+1	-7	+12	+18	-1.4

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
2022	24	ROK	ACL Mariners	68	58	17	2	1	1	10	18	0	3	1	.293	.397	.414	.811	.121	.410	26	15	.368	140	+3	+0	—	—	+2	0.5
2023	25	A+	Everett AquaSox	105	96	17	5	0	2	7	35	2	1	0	.177	.248	.292	.539	.115	.254	33	7	.247	48	-6	+0	—	—	+3	-0.3
2023	25	A	Modesto Nuts	182	155	41	8	0	3	24	48	1	1	0	.265	.367	.374	.741	.110	.358	26	13	.336	115	+3	+0	—	—	+5	0.9
2024	26	A+	Everett AquaSox	156	143	37	7	0	6	9	45	0	0	0	.259	.303	.434	.736	.175	.323	29	6	.317	101	+0	+0	—	—	+4	0.5
2025	27	A+	Everett AquaSox	39	30	3	0	0	3	7	16	2	0	0	.100	.308	.400	.708	.300	.000	41	18	.323	105	+0	+0	—	—	+1	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
Andrew Miller (OGILVIE)	28	—	—	—	—	.193/.258/.310	.117	.289	2	1	36%	7%	56	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕McCarthy Tatum 2023 · AA	27	36→25	45→55	48→50	35	.184/.240/.304	.120	.279	13	9	38%	5%	46	-2.0	.211/.271/.326	.115	.298	10	10	31%	5%	66	-0.6	.215/.285/.308	.094	.297	6	9	28%	4%	64	-0.2
✕Jake Means 2023 · AA	27	35→30	47→45	50→45	43	.183/.260/.318	.135	.266	15	9	36%	9%	59	-1.1	.181/.252/.301	.120	.260	14	10	34%	8%	51	-1.7	.130/.207/.227	.097	.172	15	8	34%	8%	11	-2.0
✕Joe DeCarlo 2021 · AA	27	40→38	43→50	47→30	40	.197/.265/.308	.111	.291	11	5	34%	7%	58	-1.2	.199/.260/.292	.093	.305	9	6	35%	7%	51	-1.7	.163/.224/.224	.061	.249	8	0	36%	7%	16	-1.3
✕Trent Giambrone 2022 · AAA	28	35→41	45→50	49→55	40	.183/.244/.299	.117	.258	13	14	34%	7%	46	-2.0	.185/.247/.272	.087	.266	8	15	31%	7%	41	-2.3	.158/.224/.222	.065	.226	5	19	31%	6%	16	-2.0
✕John Nelson 2007 · AAA	28	34→35	47→45	48→45	37	.181/.241/.311	.129	.276	16	9	39%	6%	49	-1.8	.189/.246/.332	.143	.280	19	8	38%	6%	56	-1.3	.158/.218/.302	.144	.215	22	0	38%	6%	36	-1.3
✕Jason Delay 2022 · AAA	27	38	47→45	48→40	33	.198/.238/.325	.127	.287	15	6	36%	4%	50	-1.7	.216/.269/.301	.085	.295	5	5	27%	6%	56	-1.3	.226/.285/.301	.075	.297	3	2	23%	6%	61	-0.4
✕Camden Duzenack 2022 · AAA	27	35→37	49→50	50	35	.190/.239/.328	.138	.268	18	9	36%	5%	52	-1.6	.214/.262/.346	.132	.279	14	11	28%	5%	66	-0.6	.215/.267/.343	.129	.269	14	10	25%	5%	65	-0.4
✕Caleb Hamilton 2022 · AAA	27	36	44→45	46→45	43	.181/.257/.295	.114	.275	12	9	37%	9%	52	-1.6	.181/.267/.319	.138	.277	18	6	38%	10%	63	-0.9	.145/.237/.274	.129	.209	19	3	39%	10%	37	-0.8
✕Connor Hoover 2023 · AA	27	34→30	47→50	50	44	.181/.258/.318	.137	.259	15	13	35%	9%	58	-1.2	.189/.267/.321	.132	.273	16	12	35%	9%	63	-0.9	.160/.249/.296	.136	.218	19	12	36%	9%	46	-1.0
✕Mark Thomas 2015 · AA	27	34→41	46→50	47→45	35	.183/.228/.309	.126	.257	13	5	34%	5%	42	-2.3	.176/.234/.300	.124	.274	12	6	38%	6%	43	-2.2	.136/.196/.257	.121	.201	11	6	37%	6%	13	-1.6
✕Hamlet Marte 2021 · AA	27	40	43→45	44→45	39	.198/.255/.304	.106	.297	11	5	36%	7%	52	-1.6	.193/.251/.287	.094	.336	9	7	42%	7%	46	-2.0	.147/.210/.229	.082	.244	10	4	42%	7%	11	-0.9
✕Jake Lowery 2017 · AA	27	36	43→45	48→30	43	.183/.252/.292	.109	.264	10	5	33%	8%	48	-1.9	.194/.265/.297	.103	.312	9	6	37%	9%	55	-1.4	.125/.205/.184	.059	.260	4	0	49%	9%	0	-1.2
✕Gabe Johnson 2008 · AAA	28	38	48→50	45→40	40	.198/.259/.337	.138	.279	17	5	35%	7%	63	-0.8	.207/.265/.317	.110	.307	10	8	34%	7%	59	-1.1	.179/.239/.258	.079	.273	6	4	35%	7%	31	-0.7
✕Jason Martinson 2017 · AAA	28	38→41	44→50	53→50	34	.189/.242/.304	.115	.298	12	12	40%	6%	46	-2.0	.188/.244/.306	.118	.318	13	8	42%	6%	48	-1.9	.146/.206/.239	.093	.257	13	0	46%	6%	11	-1.5
✕Arden Pabst 2023 · AA	28	36	49→45	48→30	32	.192/.232/.331	.139	.289	18	6	40%	4%	50	-1.8	.192/.261/.328	.136	.300	17	6	39%	8%	62	-0.9	.109/.210/.227	.118	.155	18	0	43%	10%	14	-1.0
✕Ryan Jorgensen 2007 · AAA	28	38	44→45	48→30	43	.197/.260/.308	.111	.260	13	6	29%	7%	56	-1.3	.211/.260/.328	.117	.271	13	5	26%	6%	60	-1.0	.210/.254/.324	.114	.266	12	1	25%	5%	54	-0.6
✕JJ Schwarz 2022 · AA	26	38	44→45	47→30	44	.195/.260/.302	.108	.268	12	4	31%	8%	54	-1.4	.216/.284/.346	.130	.306	15	4	32%	9%	76	+0.0	.206/.279/.334	.128	.290	16	1	33%	9%	68	-0.3
✕Madison Stokes 2023 · AAA	27	38→36	43→45	49→40	35	.186/.243/.299	.112	.305	11	9	41%	6%	46	-2.0	.192/.271/.300	.108	.306	9	9	37%	9%	59	-1.1	.176/.270/.275	.099	.273	8	6	35%	10%	49	-1.3
✕Dave Wallace 2008 · AAA	28	34	47→45	43→40	42	.182/.258/.310	.127	.254	16	5	34%	8%	56	-1.3	.209/.277/.329	.120	.281	13	6	29%	8%	69	-0.4	.205/.282/.307	.102	.267	11	0	26%	8%	64	-0.2
✕Todd Czinege 2021 · A	27	37	47→50	42→40	31	.188/.233/.323	.135	.305	16	5	42%	5%	48	-1.9	.192/.249/.300	.108	.355	11	7	46%	6%	49	-1.8	.142/.203/.239	.097	.274	14	3	51%	6%	11	-1.0

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)