Jason Vosler — OGILVIE

Jason Vosler3B Tacoma Rainiers

Age 32 L/R 6'0" / 220 lbs AAA HR +3% Svc 5.000 · Ctrl thru 2026 peak 0.9 · 2026

wRC+†95

AVG/OBP/SLG.224 / .285 / .412

PA350

HR14

K%29

BB%7

MLB%10%

Scouting · now → future

HIT

39→39

PWR

49→49

SPD

47→47

EYE

43↗47

trajectory · 10 yrs

0.8peak

2026

Contract

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

Status Arb-3

MLB Debut 2021

Service 5.000 yrs.days

Team Control Through 2026

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Arb-3	$4M	+0.9	$4M	+$0.1M
Totals		$4M		$4M	+$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
2015	21	A	2 teams	433	395	78	13	2	9	28	81	7	3	4	.197	.263	.309	.572	.111	.225	19	6	.249	49	-25	-1	+0	+2	+12	-1.3
2016	22	A+	2 teams	483	442	91	27	1	2	26	110	6	1	2	.206	.259	.285	.545	.079	.263	23	5	.247	47	-29	-1	+0	+2	+14	-1.4
2017	23	AA	2 teams	627	556	112	18	2	26	42	188	22	1	1	.201	.284	.381	.665	.180	.246	30	7	.288	79	-15	-0	+0	+2	+18	0.5
2018	24	AA	2 teams	534	489	93	22	1	20	32	196	8	1	0	.190	.251	.362	.613	.172	.263	37	6	.269	64	-22	+0	+0	+2	+15	-0.5
2019	25	AAA	El Paso Chihuahuas	426	391	83	13	3	16	30	137	2	0	1	.212	.272	.384	.655	.171	.278	32	7	.284	76	-12	-0	+0	+2	+12	0.1
2021	27	AAA	2 teams	391	343	77	16	1	15	34	77	7	2	0	.224	.307	.408	.715	.184	.240	20	9	.309	95	-2	+0	-3	+1	+11	0.8
2022	28	AAA	2 teams	509	468	95	15	2	17	34	159	4	5	1	.203	.263	.353	.615	.150	.266	31	7	.267	63	-21	+1	-3	+2	+14	-0.7
2023	29	AAA	2 teams	428	389	74	15	1	19	34	138	1	3	1	.190	.257	.380	.638	.190	.233	32	8	.275	68	-15	+0	-0	-8	+12	-1.1
2024	30	AAA	2 teams	554	510	114	19	5	20	33	154	7	4	1	.224	.280	.398	.678	.175	.276	28	6	.294	83	-10	+0	-1	-10	+16	-0.5
▸ 2026 Season
2026	32	MLB	SEA	350	319	71	13	2	14	25	102	3	3	1	.223	.285	.408	.693	.185	.280	29	7	.309	95	-2	+0	-1	+1	+10	0.9
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	33	MLB 20%	SEA	350	320	71	13	2	14	24	104	3	2	0	.222	.282	.406	.689	.184	.278	30	7	.303	90	-4	+0	-5	+1	+10	0.3
2028	34	MLB 33%	SEA	306	279	61	11	2	12	21	94	3	1	0	.219	.281	.401	.682	.183	.276	31	7	.296	85	-5	+0	-6	+1	+9	-0.1
2029	35	MLB 43%	SEA	253	232	49	9	2	9	17	80	2	0	0	.211	.271	.384	.655	.172	.273	32	7	.288	78	-6	+0	-6	+1	+7	-0.4
▸ Career Totals (MLE all levels + projections)
Career	—			5644	5133	1069	204	26	193	380	1620	75	26	12	.208	.273	.371	.644	.163	.260	29	7	.281	73	-170	+0	-25	-1	+160	-3.5
/ 162G	—			650	591	122	23	3	22	44	187	9	3	1	.206	.272	.367	.639	.161	.258	29	7	.281	73	-20	+0	-3	-0	+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
2015	21	A+	Myrtle Beach Pelicans	157	127	31	7	0	6	26	27	4	0	0	.244	.389	.441	.829	.197	.266	17	17	.375	145	+8	+0	—	—	+4	1.3
2015	21	A	South Bend Cubs	276	255	60	11	2	4	15	34	3	3	4	.235	.286	.341	.627	.106	.257	12	5	.280	72	-9	-1	—	—	+8	-0.2
2016	22	AA	Tennessee Smokies	105	92	23	7	0	1	9	26	1	0	0	.250	.324	.359	.682	.109	.324	25	9	.302	89	-1	+0	—	—	+3	0.2
2016	22	A+	Myrtle Beach Pelicans	378	334	85	25	2	2	33	52	5	1	2	.254	.331	.359	.690	.105	.290	14	9	.309	95	-2	-1	—	—	+11	0.8
2017	23	AA	Tennessee Smokies	531	452	109	18	2	21	53	120	20	1	1	.241	.347	.429	.776	.188	.278	23	10	.345	122	+13	-0	—	—	+15	2.9
2017	23	INTL	Mesa Solar Sox	96	81	17	4	0	2	12	24	2	0	0	.210	.326	.333	.660	.123	.268	25	12	.303	90	-1	+0	—	—	+3	0.2
2018	24	AAA	Iowa Cubs	252	236	62	11	1	11	13	79	2	0	0	.263	.307	.458	.764	.195	.347	31	5	.335	115	+4	+0	—	—	+7	1.2
2018	24	AA	Tennessee Smokies	282	235	56	18	1	12	37	70	6	1	0	.238	.356	.477	.833	.238	.280	25	13	.364	136	+12	+0	—	—	+8	2.0
2019	25	AAA	El Paso Chihuahuas	426	375	109	19	4	20	45	102	2	0	1	.291	.369	.523	.891	.232	.348	24	11	.387	155	+26	-0	—	—	+12	3.9
2021	27	MLB	San Francisco Giants	82	73	13	4	0	3	7	21	1	2	0	.178	.259	.356	.615	.178	.200	26	9	.274	67	-3	+0	-3	+1	+2	-0.2
2021	27	AAA	Sacramento River Cats	309	261	77	14	1	15	36	45	6	0	0	.295	.393	.529	.921	.234	.300	15	12	.398	162	+22	+0	—	—	+9	3.1
2022	28	MLB	San Francisco Giants	111	98	26	6	1	4	10	29	2	1	1	.265	.345	.469	.815	.204	.333	26	9	.357	132	+4	-0	-3	+2	+3	0.6
2022	28	AAA	Sacramento River Cats	398	360	87	13	1	18	34	100	2	4	0	.242	.311	.433	.744	.192	.285	25	9	.328	110	+4	+1	—	—	+11	1.7
2023	29	MLB	Cincinnati Reds	65	62	10	2	1	3	3	25	0	0	0	.161	.200	.371	.571	.210	.206	38	5	.248	48	-4	+0	-0	-8	+2	-1.0
2023	29	AAA	Louisville Bats	363	313	75	16	0	20	45	94	1	3	1	.240	.337	.482	.819	.243	.271	26	12	.357	131	+13	+0	—	—	+10	2.4
2024	30	MLB	Seattle Mariners	30	28	5	1	1	0	2	9	0	0	0	.179	.233	.286	.519	.107	.263	30	7	.234	37	-2	+0	-1	-10	+1	-1.2
2024	30	AAA	Tacoma Rainiers	524	466	141	25	4	31	46	113	7	4	1	.303	.373	.573	.946	.270	.337	22	9	.408	170	+42	+0	—	—	+15	5.8
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			288	261	54	13	3	10	22	84	3	3	1	.207	.276	.395	.671	.188	.260	29	8	.296	85	-5	+0	-7	-14	+8	-1.8

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
Jason Vosler (OGILVIE)	32	39	49	47	47	.224/.285/.412	.189	.280	14	3	29%	7%	95	+0.8	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Daniel Palka 2023 · AAA	31	43	55→60	45→50	46	.231/.292/.412	.181	.284	24	5	28%	8%	96	+1.5	.221/.276/.380	.159	.283	21	6	29%	7%	82	+0.5	.199/.255/.342	.143	.252	20	4	29%	6%	58	-0.8
✕Anthony Recker 2016 · MLB	32	39→48	53→50	44→45	43	.207/.276/.375	.167	.277	22	5	33%	8%	80	+0.4	.213/.287/.359	.146	.288	16	5	30%	8%	81	+0.4	.205/.278/.348	.144	.276	15	2	30%	8%	70	-0.1
●Matt Clark 2019 · AAA	32	45	54→60	44→30	42	.236/.286/.411	.175	.295	23	5	28%	6%	93	+1.3	.245/.305/.459	.214	.291	28	5	26%	7%	115	+2.7	.242/.309/.492	.250	.271	34	0	25%	8%	127	+2.0
✕Donnie Murphy 2014 · MLB	31	41	54→60	47→45	42	.219/.284/.396	.177	.269	22	7	28%	6%	89	+1.0	.205/.270/.344	.139	.260	17	6	27%	6%	69	-0.4	.170/.239/.268	.098	.215	12	0	27%	7%	35	-0.9
✕Graham Koonce 2007 · AAA	32	41	54→55	44→30	46	.220/.290/.397	.178	.268	23	4	28%	8%	92	+1.2	.214/.286/.390	.176	.272	22	5	29%	8%	89	+0.9	.184/.266/.368	.183	.226	24	0	30%	9%	73	-0.1
✕Valentino Pascucci 2011 · AAA	32	41→45	54→55	47→45	50	.217/.303/.391	.174	.282	22	4	31%	10%	95	+1.4	.214/.297/.379	.165	.305	21	3	34%	10%	90	+1.0	.203/.294/.363	.160	.292	21	0	35%	11%	82	+0.4
✕Shelley Duncan 2012 · MLB	32	43	55→60	45	49	.229/.301/.412	.184	.263	23	3	23%	8%	101	+1.8	.205/.276/.358	.153	.244	19	4	24%	8%	76	+0.1	.178/.249/.316	.138	.209	17	1	25%	8%	51	-1.0
✕George Kottaras 2015 · MLB	32	40→50	55	48→30	55	.212/.321/.394	.181	.285	24	5	32%	13%	105	+2.1	.213/.296/.359	.146	.314	19	5	35%	11%	85	+0.7	.185/.276/.303	.118	.269	17	0	35%	11%	59	-0.3
✕Kyle Garlick 2023 · MLB	31	43→48	58→60	49→40	40	.234/.290/.430	.196	.296	27	6	31%	6%	101	+1.8	.197/.266/.352	.155	.282	21	4	36%	7%	70	-0.3	.170/.244/.307	.137	.246	19	2	38%	8%	49	-1.5
✕Rick Ankiel 2010 · MLB	31	45→48	58→65	44→50	45	.241/.297/.444	.203	.276	27	5	24%	7%	107	+2.2	.235/.297/.395	.160	.300	17	9	27%	8%	94	+1.3	.230/.291/.378	.149	.303	15	9	28%	8%	82	+0.2
✕Taylor Motter 2022 · MLB	32	43→49	55→60	47→55	50	.226/.304/.410	.184	.274	23	5	26%	10%	101	+1.8	.224/.295/.408	.184	.278	24	7	28%	9%	97	+1.5	.202/.273/.371	.169	.252	23	8	29%	9%	76	+0.0
✕Yoshi Tsutsugo 2022 · MLB	30	42→41	54→50	42→30	53	.224/.312/.404	.179	.271	22	3	26%	11%	103	+1.9	.221/.310/.369	.148	.294	18	4	29%	11%	93	+1.3	.209/.307/.339	.130	.290	16	2	31%	12%	81	+0.2
✕Pedro Álvarez 2018 · MLB	31	43→47	59→65	48→45	45	.235/.291/.437	.203	.277	28	3	27%	7%	103	+1.9	.232/.285/.414	.182	.285	26	4	28%	7%	94	+1.3	.224/.285/.403	.179	.268	29	0	28%	8%	89	+0.5
✕Dallas McPherson 2012 · MLB	32	44	54→65	43→50	36	.229/.271/.400	.171	.312	23	4	34%	5%	85	+0.7	.227/.275/.389	.162	.334	21	6	36%	6%	83	+0.6	.214/.269/.380	.165	.325	22	4	39%	7%	76	+0.0
✕Cody Ransom 2009 · MLB	33	39→41	54→55	48→50	44	.212/.276/.389	.177	.262	22	11	29%	7%	84	+0.6	.219/.281/.393	.174	.279	20	10	28%	7%	87	+0.8	.217/.285/.398	.181	.290	23	7	32%	8%	87	+0.6
✕Alex Dickerson 2022 · MLB	32	49→54	56→55	48→45	48	.255/.326/.453	.198	.293	24	4	22%	8%	121	+3.2	.222/.282/.386	.164	.268	20	5	25%	7%	85	+0.7	.196/.249/.341	.145	.238	17	1	25%	6%	56	-0.8
✕Lorenzo Quintana 2021 · AAA	32	43	54→55	45	38	.227/.272/.402	.175	.273	22	9	26%	4%	85	+0.7	.242/.290/.401	.159	.297	19	5	25%	5%	92	+1.2	.240/.289/.402	.162	.291	20	2	24%	4%	89	+0.5
✕Tim Beckham 2022 · MLB	32	45→55	57→55	43→50	41	.237/.287/.435	.198	.298	25	6	30%	6%	101	+1.8	.263/.314/.413	.150	.344	19	9	28%	6%	105	+2.1	.320/.370/.437	.117	.434	16	6	28%	6%	128	+1.0
✕Patrick Kivlehan 2021 · AAA	31	42→52	57→60	44→50	40	.224/.282/.420	.196	.288	25	5	31%	6%	95	+1.4	.210/.261/.373	.163	.292	21	8	35%	6%	73	-0.1	.182/.228/.327	.145	.254	21	6	37%	5%	44	-1.3
✕Jarrod Saltalamacchia 2017 · MLB	32	40→50	53→60	43→40	51	.207/.303/.376	.169	.285	21	2	33%	12%	92	+1.2	.177/.259/.302	.125	.282	15	4	39%	10%	55	-1.4	.125/.203/.198	.073	.218	8	1	43%	9%	1	-1.7

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)