Daulton Varsho — OGILVIE

Daulton VarshoCF Toronto Blue Jays

Age 30 L/R 5'8" / 207 lbs MLB HR +12%BB +4% Svc 5.744 · Ctrl thru 2026 peak 2.2 · 2026

wRC+†vL 125107vR 106

AVG/OBP/SLG.221 / .287 / .437

PA414

HR19

SB7

K%26

BB%8

MLB%100%

Scouting · now → future

HIT

35→35

PWR

50→50

SPD

60→60

EYE

50→50

trajectory · 10 yrs

1.4peak

2026

Contract

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

Status Arb-3

MLB Debut 2020

Service 5.744 yrs.days

Team Control Through 2026

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Arb-3	$11M	+2.2	$18M	+$7M
Totals		$11M		$18M	+$7M

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
2018	22	A+	2 teams	414	381	90	10	3	12	25	112	7	27	7	.236	.295	.373	.668	.136	.302	27	6	.290	80	-9	+3	+0	+1	+12	0.7
2019	23	AA	Jackson Generals	452	410	107	20	5	18	28	80	10	21	5	.261	.324	.466	.790	.205	.282	18	6	.333	113	+7	+2	+0	+2	+13	2.4
2020	24	MLB	Arizona Diamondbacks	115	101	18	5	1	3	12	33	2	3	1	.178	.278	.337	.615	.158	.231	29	10	.278	71	-4	+0	-0	+0	+3	-0.0
2021	25	MLB	2 teams	402	366	88	21	3	17	35	88	0	8	0	.240	.307	.454	.760	.213	.272	22	9	.321	104	+2	+2	+4	+7	+11	2.6
2022	26	MLB	Arizona Diamondbacks	592	532	128	22	4	29	46	145	7	16	6	.241	.309	.461	.770	.220	.273	24	8	.328	109	+6	+1	+14	-6	+17	3.2
2023	27	MLB	Toronto Blue Jays	581	528	122	24	4	21	45	135	4	16	7	.231	.296	.411	.707	.180	.269	23	8	.307	93	-5	+0	+7	-6	+16	1.4
2024	28	MLB	Toronto Blue Jays	513	459	97	22	7	17	48	137	4	10	2	.211	.292	.401	.692	.190	.261	27	9	.303	90	-6	+1	+12	+2	+15	2.5
2025	29	MLB	2 teams	304	278	61	13	2	19	18	87	2	2	0	.219	.272	.486	.757	.266	.236	29	6	.317	101	+0	+0	+6	+1	+9	1.6
▸ 2026 Season (actual · ROS · total)
2026	30	MLB	Toronto Blue Jays	84	76	20	4	0	3	7	14	1	1	0	.263	.333	.434	.768	.171	.288	17	8	.330	111	+1	+0	+0	+0	+2	0.4
ROS	30	MLB	TOR	330	298	69	14	2	15	26	81	3	6	1	.232	.300	.443	.743	.211	.264	25	8	.324	106	+2	+1	+4	+1	+9	1.8
TOT	30	MLB	TOR	414	374	89	18	2	18	33	95	4	7	1	.238	.307	.441	.748	.203	.270	23	8	.325	107	+3	+1	+4	+1	+12	2.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	31	MLB	TOR	399	362	83	17	3	18	31	88	3	5	1	.229	.295	.442	.737	.213	.251	22	8	.320	103	+1	+1	+2	+1	+11	1.7
2028	32	MLB	TOR	380	344	77	15	3	16	30	86	3	3	0	.224	.292	.424	.716	.201	.249	23	8	.315	99	-0	+1	+1	+1	+11	1.4
2029	33	MLB	TOR	350	317	71	14	3	15	27	81	3	1	0	.224	.291	.429	.720	.205	.247	23	8	.309	95	-2	+0	-0	+1	+10	0.9
2030	34	MLB	TOR	306	277	60	12	2	12	24	74	2	0	0	.217	.284	.404	.688	.188	.245	24	8	.302	89	-4	+0	-1	+1	+9	0.5
2031	35	MLB	TOR	253	230	48	9	2	10	19	64	2	0	0	.209	.275	.396	.671	.187	.242	25	8	.294	83	-5	+0	-3	+1	+7	0.0
2032	36	MLB	TOR	196	178	36	7	1	7	15	51	1	0	0	.202	.268	.371	.639	.169	.238	26	8	.284	75	-5	+0	-4	+1	+6	-0.3
▸ Career Totals (MLE all levels + projections)
Career	—			5587	5061	1155	225	45	229	429	1342	53	118	30	.228	.295	.426	.722	.198	.263	24	8	.312	97	-21	+12	+41	+9	+158	20.3
/ 162G	—			650	589	134	26	5	27	50	156	6	14	3	.228	.295	.426	.721	.199	.261	24	8	.312	97	-2	+2	+5	+1	+18	2.4

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
2018	22	A+	Visalia Rawhide	342	304	87	11	3	11	30	71	7	19	3	.286	.364	.451	.814	.164	.341	21	9	.363	136	+14	+3	—	—	+10	2.7
2018	22	INTL	Salt River Rafters	72	60	17	1	1	0	12	13	0	8	4	.283	.403	.333	.736	.050	.362	18	17	.345	122	+2	+0	—	—	+2	0.4
2019	23	AA	Jackson Generals	452	396	119	25	4	18	42	63	10	21	5	.301	.382	.520	.902	.220	.317	14	9	.393	159	+30	+2	—	—	+13	4.6
2020	24	MLB	Arizona Diamondbacks	115	101	19	5	2	3	12	33	2	3	1	.188	.287	.366	.653	.178	.246	29	10	.295	84	-2	+0	-0	+0	+3	0.2
2021	25	MLB	Arizona Diamondbacks	315	284	70	17	2	11	30	67	0	6	0	.246	.318	.437	.755	.190	.286	21	10	.334	113	+5	+1	+4	+7	+9	2.6
2021	25	AAA	Reno Aces	87	80	25	6	1	9	7	16	0	2	0	.312	.368	.750	1.118	.438	.291	18	8	.472	219	+12	+0	—	—	+2	1.5
2022	26	MLB	Arizona Diamondbacks	592	531	125	23	3	27	46	145	7	16	6	.235	.304	.443	.747	.207	.269	24	8	.326	108	+5	+1	+14	-6	+17	3.1
2023	27	MLB	Toronto Blue Jays	581	527	116	23	3	20	45	135	4	16	7	.220	.286	.389	.675	.169	.256	23	8	.299	87	-9	+0	+7	-6	+16	1.0
2024	28	MLB	Toronto Blue Jays	513	459	98	21	7	18	48	137	4	10	2	.214	.294	.407	.701	.194	.262	27	9	.310	96	-3	+1	+12	+2	+15	2.8
2025	29	MLB	Toronto Blue Jays	271	248	59	13	2	20	17	77	1	2	0	.238	.289	.548	.838	.310	.250	28	6	.354	129	+9	+0	+6	+1	+8	2.4
2025	29	AAA	Buffalo Bisons	33	30	4	0	0	1	1	8	1	0	0	.133	.188	.233	.421	.100	.136	24	3	.189	3	-4	+0	—	—	+1	-0.3
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			2387	2150	487	102	19	99	198	594	18	53	16	.227	.297	.430	.727	.203	.264	25	8	.319	102	+6	+4	+43	-2	+68	12.1

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
Daulton Varsho (OGILVIE)	30	35	50	60	50	.229/.295/.438	.209	.252	19	7	22%	8%	106	+1.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Seth Brown 2022 · MLB	30	41→49	62→65	51→50	42	.228/.284/.457	.229	.279	30	9	30%	7%	105	+2.1	.236/.300/.445	.209	.283	28	10	27%	8%	108	+2.3	.238/.300/.429	.191	.288	26	8	27%	8%	101	+1.4
✕Shelley Duncan 2010 · MLB	30	41→43	59→60	47→45	49	.229/.298/.435	.206	.255	28	5	24%	8%	105	+2.1	.226/.299/.408	.182	.264	23	4	24%	9%	98	+1.6	.218/.298/.394	.177	.252	23	2	24%	9%	90	+0.6
✕Micah Hoffpauir 2010 · MLB	30	48→46	57→60	50→40	45	.255/.298/.456	.201	.274	25	6	18%	6%	111	+2.5	.232/.289/.419	.187	.258	22	5	20%	7%	97	+1.5	.221/.283/.411	.191	.241	23	1	20%	7%	91	+1.0
✕Pedro Álvarez 2017 · MLB	30	45→47	61→65	47→45	51	.246/.320/.467	.221	.285	31	5	26%	10%	123	+3.3	.232/.286/.425	.193	.281	27	3	27%	7%	98	+1.6	.220/.267/.398	.178	.264	26	1	28%	6%	79	+0.2
✕Donnie Murphy 2013 · MLB	30	41	56→60	48→45	44	.222/.285/.417	.195	.262	24	5	26%	6%	95	+1.4	.211/.276/.370	.159	.265	20	6	28%	6%	79	+0.3	.195/.262/.332	.137	.246	17	4	28%	6%	61	-0.5
✕Gregory Polanco 2021 · MLB	29	42→52	56→60	52→55	49	.227/.302/.426	.199	.278	24	12	28%	10%	104	+2.0	.224/.293/.395	.171	.282	22	18	28%	8%	92	+1.2	.221/.294/.389	.168	.270	22	23	26%	9%	84	+0.5
✕Eric Munson 2007 · MLB	29	41→43	57→60	43→40	46	.227/.290/.420	.193	.252	26	3	22%	7%	98	+1.6	.220/.291/.367	.147	.255	17	3	21%	8%	84	+0.6	.209/.286/.342	.134	.246	14	1	21%	9%	74	-0.0
✕Rick Ankiel 2009 · MLB	30	44→48	62→65	45→50	45	.246/.302/.473	.227	.272	32	5	24%	7%	117	+2.9	.238/.298/.415	.177	.291	21	7	25%	7%	99	+1.7	.230/.291/.376	.146	.292	16	9	26%	7%	81	+0.3
✕Justin Maxwell 2014 · MLB	30	44→45	56→60	52→60	44	.229/.300/.425	.196	.309	23	15	33%	8%	103	+1.9	.213/.278/.349	.136	.307	15	9	34%	7%	74	-0.1	.196/.261/.303	.107	.284	13	6	34%	6%	51	-0.7
✕Yoshi Tsutsugo 2021 · MLB	29	45→41	56→50	48→30	56	.237/.333/.432	.195	.288	25	6	26%	12%	119	+3.1	.222/.310/.384	.162	.283	20	3	27%	11%	97	+1.5	.211/.305/.359	.147	.276	18	1	29%	11%	85	+0.4
✕John Rodriguez 2006 · MLB	28	48→47	56→55	52→40	45	.249/.317/.443	.194	.301	25	10	26%	7%	115	+2.8	.247/.321/.412	.165	.311	18	6	25%	8%	108	+2.3	.239/.321/.389	.150	.307	15	1	25%	9%	99	+0.7
✕DJ Stewart 2023 · MLB	29	43→48	54→60	48→50	55	.225/.333/.399	.173	.287	23	5	28%	12%	111	+2.5	.215/.317/.401	.186	.268	25	6	29%	11%	105	+2.1	.186/.297/.363	.176	.229	25	5	30%	11%	84	+0.3
●Jay Bruce 2017 · MLB	30	44→54	58→65	48→50	49	.236/.299/.443	.207	.268	25	8	23%	8%	108	+2.3	.245/.312/.477	.232	.272	30	4	22%	9%	122	+3.3	.237/.306/.472	.235	.258	32	2	23%	9%	113	+2.0
✕Brian O'Grady 2021 · MLB	29	43→39	57→60	52→50	41	.228/.284/.424	.197	.295	25	16	32%	6%	97	+1.5	.209/.277/.371	.162	.292	18	14	33%	8%	79	+0.3	.183/.260/.343	.160	.253	17	13	34%	8%	63	-0.5
✕Colby Rasmus 2017 · MLB	30	41→51	56→60	48→50	47	.220/.293/.405	.185	.282	24	6	31%	9%	95	+1.4	.229/.292/.417	.188	.303	25	6	31%	8%	98	+1.6	.219/.267/.434	.214	.291	29	2	35%	6%	87	+0.2
✕Eric Haase 2023 · MLB	30	46→41	59→65	49→40	43	.246/.301/.451	.206	.306	28	4	29%	7%	111	+2.5	.230/.284/.382	.152	.312	20	5	31%	7%	85	+0.7	.215/.271/.337	.121	.306	16	4	34%	7%	65	-0.3
✕Didi Gregorius 2020 · MLB	30	49→55	57→60	46→50	49	.258/.308/.453	.194	.260	25	7	13%	6%	114	+2.7	.240/.298/.410	.170	.253	20	7	15%	6%	98	+1.6	.228/.289/.374	.146	.245	16	5	15%	6%	80	+0.2
✕Valentino Pascucci 2008 · AAA	29	43→45	58→55	51→45	45	.231/.309/.434	.203	.290	27	10	30%	8%	110	+2.4	.221/.306/.396	.175	.289	23	6	30%	10%	98	+1.6	.209/.300/.379	.170	.272	22	3	31%	11%	89	+0.7
●Max Kepler 2022 · MLB	29	42→52	61→60	49→50	56	.233/.322/.460	.227	.240	29	8	18%	10%	121	+3.2	.237/.318/.412	.175	.264	20	6	19%	10%	107	+2.2	.243/.317/.406	.163	.275	19	2	19%	9%	102	+1.4
✕Joe Mather 2010 · MLB	28	40→45	56→60	51→50	46	.220/.285/.407	.187	.238	24	12	20%	6%	92	+1.2	.216/.270/.339	.123	.269	12	10	24%	6%	67	-0.5	.206/.260/.310	.104	.261	10	8	24%	7%	52	-0.7

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)