Daniel Vogelbach

Daniel Vogelbach1B Toronto Blue Jays

Age 33 L/R 6'0" / 270 lbs MLB HR +12%BB +4% Svc 9.000 · Ctrl thru 2026 peak 0.5 · 2026

wRC+†115

AVG/OBP/SLG.233 / .330 / .417

PA234

HR9

K%23

BB%12

MLB%100%

Scouting · now → future

PWR

56→56

SPD

20→20

EYE

69→69

trajectory · 10 yrs

0.5peak

2026

Contract

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

Status FA

MLB Debut 2017

Service 9.000 yrs.days

Team Control Through 2026

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$2M	+0.5	$2M	-$0.4M
Totals		$2M		$2M	-$0.4M

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
2011	18	ROK	AZL Cubs	27	25	5	2	0	1	1	3	1	1	0	.200	.259	.400	.659	.200	.190	11	4	.290	80	-1	+0	+0	-0	+1	-0.0
2012	19	ROK	AZL Cubs	115	107	25	9	1	5	7	20	0	1	0	.234	.281	.477	.757	.243	.241	17	6	.336	115	+2	+0	+0	-2	+3	0.3
2013	20	A	2 teams	568	510	120	20	0	17	48	117	2	5	4	.235	.304	.375	.678	.139	.268	21	8	.297	86	-9	-1	+0	-10	+16	-0.4
2014	21	A+	2 teams	648	580	132	29	1	17	54	156	5	5	4	.228	.299	.369	.668	.141	.276	24	8	.293	82	-13	-1	+0	-12	+18	-0.7
2015	22	AA	2 teams	330	284	69	17	1	6	44	84	0	1	1	.243	.345	.373	.718	.130	.321	25	13	.319	102	+1	-0	+0	-6	+9	0.4
2016	23	AAA	Tacoma Rainiers	563	499	128	24	2	21	57	125	4	0	0	.257	.338	.439	.776	.182	.301	22	10	.342	120	+13	+0	-1	-10	+16	1.8
2017	24	AAA	2 teams	572	509	127	22	0	14	57	132	1	3	1	.250	.326	.375	.702	.126	.307	23	10	.309	95	-3	+0	-2	-10	+16	0.1
2018	25	AAA	2 teams	480	414	99	18	0	22	60	100	3	0	1	.239	.340	.442	.782	.203	.261	21	12	.342	120	+11	-0	-0	-9	+14	1.5
2019	26	MLB	Seattle Mariners	558	462	93	16	0	31	92	149	2	0	0	.201	.336	.437	.774	.236	.218	27	16	.340	118	+12	+0	-6	-10	+16	1.2
2020	27	MLB	Milwaukee Brewers	136	115	24	3	0	6	20	33	1	0	0	.209	.331	.391	.722	.183	.237	24	15	.320	103	+0	+0	+0	-2	+4	0.2
2021	28	MLB	2 teams	323	267	63	8	0	12	55	72	0	0	0	.236	.366	.401	.767	.165	.277	22	17	.339	117	+6	+0	-4	-6	+9	0.6
2022	29	MLB	New York Mets	461	386	96	21	1	19	73	114	1	0	0	.249	.370	.456	.826	.207	.303	25	16	.353	128	+15	+0	-1	-8	+13	1.9
2023	30	MLB	New York Mets	319	275	65	8	0	13	42	81	2	0	0	.236	.342	.407	.749	.171	.287	25	13	.330	111	+4	+0	+0	-6	+9	0.7
2024	31	MLB	Toronto Blue Jays	79	70	13	5	0	1	9	17	0	0	0	.186	.278	.300	.578	.114	.231	22	11	.265	61	-4	+0	+0	-1	+2	-0.3
▸ 2026 Season
2026	33	MLB	TOR	234	203	48	9	1	9	28	53	1	2	1	.236	.332	.424	.756	.187	.272	23	12	.335	115	+4	+0	-2	-4	+7	0.5
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	34	MLB	TOR	192	166	38	8	0	7	23	45	1	1	0	.229	.326	.404	.730	.175	.270	23	12	.328	109	+2	+0	-6	-3	+5	-0.2
▸ Career Totals (MLE all levels + projections)
Career	—			5605	4872	1145	219	7	201	670	1301	24	19	12	.235	.330	.407	.737	.172	.277	23	12	.324	106	+39	-1	-21	-100	+159	7.8
/ 162G	—			650	565	132	25	1	23	78	151	3	2	1	.234	.330	.404	.733	.170	.276	23	12	.324	106	+5	+0	-2	-12	+18	0.9

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
2011	18	ROK	AZL Cubs	27	24	7	3	0	1	2	2	1	1	0	.292	.370	.542	.912	.250	.286	7	7	.399	164	+2	+0	—	—	+1	0.3
2012	19	ROK	AZL Cubs	115	102	33	12	2	7	12	14	0	1	0	.324	.395	.686	1.081	.363	.317	12	10	.456	207	+14	+0	—	—	+3	1.8
2013	20	A+	Daytona Cubs	66	50	14	2	0	2	16	13	0	1	0	.280	.455	.440	.895	.160	.343	20	24	.408	171	+5	+0	—	—	+2	0.7
2013	20	A	Kane County Cougars	502	433	123	21	0	17	57	77	2	4	4	.284	.368	.450	.819	.166	.305	15	11	.360	133	+19	-1	—	—	+14	3.3
2014	21	A+	Daytona Cubs	560	482	129	28	1	16	66	91	5	4	4	.268	.362	.429	.791	.162	.296	16	12	.351	127	+17	-1	—	—	+16	3.3
2014	21	INTL	Mesa Solar Sox	88	69	18	4	0	0	17	11	0	1	0	.261	.407	.319	.726	.058	.300	12	19	.337	116	+2	+0	—	—	+2	0.4
2015	22	AA	Tennessee Smokies	313	254	69	16	1	7	57	61	0	1	1	.272	.405	.425	.830	.154	.330	19	18	.374	145	+16	-0	—	—	+9	2.5
2015	22	ROK	AZL Cubs	17	11	5	2	0	0	6	1	0	0	0	.455	.647	.636	1.283	.182	.500	6	35	.557	284	+4	+0	—	—	+0	0.4
2016	23	AAA	Tacoma Rainiers	563	459	134	25	2	23	97	101	4	0	0	.292	.420	.505	.925	.214	.328	18	17	.408	171	+45	+0	—	—	+16	6.2
2017	24	MLB	Seattle Mariners	31	28	6	1	0	0	3	9	0	0	0	.214	.290	.250	.540	.036	.316	29	10	.255	53	-2	+0	-2	-10	+1	-1.3
2017	24	AAA	Tacoma Rainiers	541	459	133	25	0	17	76	98	1	3	1	.290	.392	.455	.847	.166	.332	18	14	.376	146	+28	+0	—	—	+15	4.5
2018	25	MLB	Seattle Mariners	102	87	18	2	0	4	13	26	2	0	0	.207	.324	.368	.691	.161	.246	25	13	.317	100	+0	+0	-0	-9	+3	-0.6
2018	25	AAA	Tacoma Rainiers	378	297	86	16	0	20	77	59	1	0	1	.290	.437	.545	.983	.256	.299	16	20	.428	186	+37	-0	—	—	+11	4.8
2019	26	MLB	Seattle Mariners	558	462	96	17	0	30	92	149	2	0	0	.208	.342	.439	.781	.232	.232	27	16	.348	125	+15	+0	-6	-10	+16	1.6
2020	27	MLB	Milwaukee Brewers	136	115	24	3	0	6	20	33	1	0	0	.209	.331	.391	.722	.183	.237	24	15	.328	109	+1	+0	+0	-2	+4	0.3
2021	28	MLB	Milwaukee Brewers	258	215	47	8	0	9	43	57	0	0	0	.219	.349	.381	.730	.163	.255	22	17	.334	114	+4	+0	-4	-6	+7	0.2
2021	28	AAA	Nashville Sounds	65	48	15	0	0	3	16	13	0	0	0	.312	.484	.500	.984	.188	.364	20	25	.435	191	+7	+0	—	—	+2	0.9
2022	29	MLB	New York Mets	461	386	92	19	1	18	73	114	1	0	0	.238	.361	.433	.794	.194	.290	25	16	.356	130	+16	+0	-1	-8	+13	2.0
2023	30	MLB	New York Mets	319	275	64	8	0	13	42	81	2	0	0	.233	.339	.404	.742	.171	.282	25	13	.335	115	+5	+0	+0	-6	+9	0.9
2024	31	MLB	Toronto Blue Jays	79	70	13	5	0	1	9	17	0	0	0	.186	.278	.300	.578	.114	.231	22	11	.267	63	-3	+0	+0	-1	+2	-0.3
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			1944	1638	360	63	1	81	295	486	8	0	0	.220	.342	.408	.749	.188	.260	25	15	.338	117	+37	+0	-12	-52	+55	2.8

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
Daniel Vogelbach (OGILVIE)	33	—	56	20	69	.233/.330/.417	.184	.272	9	2	23%	12%	115	+1.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Matt Joyce 2017 · MLB	32	46→56	51→60	36→50	61	.234/.346/.400	.166	.283	18	3	23%	14%	116	+2.8	.239/.342/.428	.189	.276	22	4	21%	13%	121	+3.2	.242/.345/.424	.181	.278	22	2	20%	13%	116	+1.7
✕Daryle Ward 2008 · MLB	33	55→56	52→60	39→30	57	.275/.352/.449	.174	.303	18	3	16%	10%	130	+3.8	.244/.323/.406	.162	.284	18	5	20%	10%	108	+2.3	.227/.301/.363	.136	.259	17	2	19%	9%	86	+0.3
●Aaron Guiel 2005 · MLB	32	46→53	51→60	36→45	50	.237/.314/.402	.165	.272	18	6	20%	8%	103	+1.9	.233/.315/.424	.191	.266	23	6	22%	8%	109	+2.4	.228/.313/.423	.195	.258	24	4	22%	8%	107	+2.1
●Aubrey Huff 2010 · MLB	33	53→60	53→60	38→45	53	.271/.333/.454	.183	.288	20	3	14%	8%	124	+3.4	.257/.336/.426	.169	.278	19	5	15%	10%	118	+3.0	.251/.338/.411	.160	.271	18	5	15%	11%	109	+1.8
●Adam Lind 2017 · MLB	34	52→61	55→60	41→40	52	.268/.332/.452	.184	.297	22	2	19%	9%	123	+3.3	.252/.308/.431	.179	.281	23	3	19%	8%	108	+2.3	.247/.300/.413	.166	.274	22	1	19%	7%	94	+0.6
✕Justin Smoak 2020 · MLB	33	45→52	59→65	39→30	61	.241/.347/.455	.215	.271	27	1	23%	14%	131	+3.9	.224/.320/.406	.182	.275	22	5	26%	11%	107	+2.2	.175/.250/.349	.174	.225	20	0	32%	8%	58	-0.3
●Adam LaRoche 2013 · MLB	33	48→55	56→65	42→40	52	.252/.326/.451	.199	.296	24	2	23%	10%	121	+3.2	.240/.331/.429	.189	.276	24	4	22%	12%	117	+2.9	.227/.326/.400	.173	.263	22	3	22%	12%	99	+1.5
✕Ty Wigginton 2011 · MLB	33	50→55	52→60	37→50	50	.258/.317/.424	.166	.279	20	3	16%	7%	110	+2.4	.238/.308/.385	.147	.275	17	6	20%	9%	96	+1.5	.231/.310/.377	.146	.268	18	7	20%	9%	89	+0.6
●Rondell White 2005 · MLB	33	52→62	54→60	37→40	49	.267/.325/.443	.177	.286	22	3	16%	7%	118	+3.0	.269/.315/.427	.158	.292	18	3	14%	5%	109	+2.4	.263/.300/.404	.141	.285	15	1	14%	4%	94	+0.7
●Adam Dunn 2012 · MLB	32	44→51	58→70	37→50	58	.229/.344/.440	.210	.302	26	1	31%	14%	125	+3.5	.208/.322/.415	.207	.273	28	2	33%	14%	110	+2.4	.209/.326/.428	.220	.263	32	1	32%	14%	105	+2.1
✕Jake Lamb 2023 · MLB	32	43→53	53→60	40→45	47	.222/.306/.395	.173	.297	21	4	31%	10%	98	+1.6	.228/.307/.363	.135	.300	15	3	28%	9%	90	+1.0	.219/.300/.330	.111	.289	12	1	26%	8%	77	+0.1
✕Jason Kubel 2014 · MLB	32	48→57	53→60	41→40	50	.244/.315/.417	.173	.306	20	3	27%	9%	107	+2.2	.232/.310/.358	.126	.330	12	6	30%	10%	89	+1.0	.223/.311/.294	.071	.352	3	3	34%	11%	67	-0.2
●Dan Johnson 2012 · MLB	32	43→53	54→60	43→30	56	.228/.317/.406	.178	.249	23	3	20%	11%	105	+2.1	.227/.314/.408	.181	.247	24	2	19%	11%	105	+2.1	.216/.310/.392	.176	.233	24	1	20%	11%	99	+1.6
✕John Mabry 2005 · MLB	34	51	56→60	41→30	52	.266/.336/.459	.193	.300	25	4	21%	9%	127	+3.6	.237/.306/.396	.159	.286	18	3	23%	9%	98	+1.6	.218/.286/.360	.141	.266	15	0	23%	8%	77	+0.1
●Mitch Moreland 2018 · MLB	32	46→56	57→60	43→40	49	.243/.314/.440	.196	.273	25	2	22%	8%	113	+2.6	.241/.319/.444	.203	.275	25	3	22%	10%	115	+2.8	.238/.319/.448	.210	.267	27	2	22%	10%	113	+1.4
✕David Murphy 2015 · MLB	33	52→60	48→55	40→50	54	.258/.323/.409	.150	.278	15	6	14%	8%	108	+2.3	.256/.305/.392	.136	.281	14	4	14%	7%	95	+1.4	.272/.311/.402	.130	.293	15	0	13%	5%	97	+1.0
✕Shelley Duncan 2013 · MLB	33	42→43	54→60	40→45	51	.223/.301/.401	.178	.257	23	4	24%	9%	98	+1.6	.197/.264/.333	.136	.240	16	4	25%	8%	64	-0.8	.164/.225/.275	.111	.202	12	0	26%	7%	30	-2.3
✕Todd Hollandsworth 2005 · MLB	32	55→56	52→55	43→50	52	.274/.339/.456	.182	.318	18	8	20%	9%	126	+3.5	.251/.304/.409	.158	.297	16	6	20%	7%	100	+1.7	.243/.288/.393	.150	.289	14	4	21%	6%	85	+0.3
✕Jay Bruce 2020 · MLB	33	42→52	62→65	42→50	50	.236/.302/.464	.228	.257	31	3	23%	9%	115	+2.7	.221/.284/.426	.205	.253	27	6	25%	8%	97	+1.5	.192/.247/.431	.239	.197	31	0	23%	7%	74	-0.0
✕Emmanuel Valdez 2011 · AAA	32	50→53	52→55	37→40	52	.253/.334/.420	.167	.307	20	3	24%	10%	115	+2.8	.241/.314/.407	.166	.314	21	4	28%	9%	105	+2.1	.214/.299/.399	.185	.291	24	3	33%	9%	97	+0.9

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)