Donovan Walton — OGILVIE

Donovan Walton2B Salt Lake Bees

Age 32 L/R 5'9" / 190 lbs AAA HR -5% Svc 7.000 · Ctrl thru 2026 peak 0.4 · 2026

wRC+†88

AVG/OBP/SLG.247 / .309 / .370

PA250

HR6

K%16

BB%7

MLB%10%

Scouting · now → future

HIT

60→60

PWR

45→45

SPD

45→45

EYE

47↗50

trajectory · 10 yrs

0.8peak

2027

Contract

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

Status FA

MLB Debut 2019

Service 7.000 yrs.days

Team Control Through 2026

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$2M	+0.4	$2M	-$0.8M
Totals		$2M		$2M	-$0.8M

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
2017	23	A+	2 teams	289	267	57	11	1	4	19	67	3	8	6	.213	.273	.307	.580	.094	.270	23	7	.258	56	-15	-1	+0	+1	+8	-0.6
2018	24	A+	2 teams	494	444	107	24	3	4	32	93	12	11	4	.241	.309	.336	.645	.095	.294	19	6	.283	75	-14	+1	+0	+2	+14	0.2
2019	25	AA	2 teams	577	515	138	20	3	13	47	96	10	10	14	.268	.341	.394	.735	.126	.306	17	8	.320	103	+2	-4	-0	+6	+16	2.1
2021	27	AAA	2 teams	403	359	93	19	2	13	26	62	11	2	3	.259	.328	.432	.760	.173	.277	15	6	.331	111	+5	-1	-4	+1	+11	1.4
2022	28	AAA	2 teams	223	203	40	16	2	3	14	41	2	5	1	.197	.256	.340	.596	.143	.233	18	6	.253	52	-12	+1	-3	+1	+6	-0.7
2023	29	AAA	4 teams	271	240	53	9	0	5	19	53	6	3	4	.221	.294	.321	.615	.100	.258	20	7	.276	69	-9	-1	+0	+1	+8	-0.2
2024	30	AAA	2 teams	412	376	96	13	3	7	27	62	5	4	1	.255	.314	.362	.675	.106	.286	15	7	.301	88	-5	+0	-1	+1	+12	0.7
2025	31	AAA	Lehigh Valley IronPigs	504	454	110	13	0	12	35	81	7	4	4	.242	.306	.350	.657	.108	.266	16	7	.290	80	-11	-1	-1	+2	+14	0.3
▸ 2026 Season (actual · ROS · total)
2026	32	AAA	Salt Lake Bees	78	66	12	2	0	2	10	13	2	1	0	.182	.308	.303	.611	.121	.196	17	13	.294	83	-1	+0	+0	+0	+2	0.1
ROS	32	MLB	LAA	172	153	36	5	0	4	14	28	3	2	1	.235	.312	.346	.658	.111	.265	16	8	.304	91	-2	+0	-1	+1	+5	0.2
TOT	32	MLB	LAA	250	219	48	7	0	6	24	41	5	3	1	.219	.310	.333	.644	.114	.243	16	10	.301	88	-3	+0	-1	+1	+7	0.4
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	33	MLB 20%	LAA	350	311	76	11	1	9	31	53	5	2	1	.244	.323	.373	.696	.129	.264	15	9	.312	97	-1	+0	-7	+1	+10	0.3
2028	34	MLB 33%	LAA	306	272	65	9	1	8	27	51	4	1	1	.239	.317	.368	.684	.129	.265	17	9	.306	92	-3	-0	-7	+1	+9	-0.0
2029	35	MLB 43%	LAA	253	226	53	8	1	6	22	45	3	0	0	.235	.311	.358	.669	.124	.265	18	9	.299	87	-4	+0	-8	+1	+7	-0.3
2030	36	MLB 52%	LAA	196	174	40	6	1	4	17	37	3	0	0	.230	.309	.345	.654	.115	.263	19	9	.291	81	-4	+0	-8	+1	+6	-0.6
▸ Career Totals (MLE all levels + projections)
Career	—			4450	3994	964	164	18	92	330	769	74	52	40	.241	.311	.361	.672	.119	.275	17	7	.297	85	-73	-6	-40	+20	+126	2.8
/ 162G	—			650	583	141	24	3	13	48	112	11	8	6	.242	.312	.360	.672	.118	.276	17	7	.297	85	-11	-1	-6	+3	+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
2017	23	A+	Modesto Nuts	272	242	65	16	1	2	27	49	3	6	6	.269	.349	.368	.717	.099	.330	18	10	.327	109	+3	-1	—	—	+8	0.9
2017	23	ROK	AZL Mariners	17	16	5	0	0	2	1	0	0	2	0	.312	.353	.688	1.040	.375	.214	0	6	.446	199	+2	+0	—	—	+0	0.3
2018	24	AA	Arkansas Travelers	238	208	49	14	1	1	21	34	7	3	1	.236	.326	.327	.653	.091	.276	14	9	.300	88	-3	+0	—	—	+7	0.4
2018	24	A+	Modesto Nuts	256	217	67	12	3	3	30	37	5	8	3	.309	.405	.433	.838	.124	.358	14	12	.373	143	+13	+0	—	—	+7	2.1
2019	25	MLB	Seattle Mariners	19	16	3	0	0	0	3	5	0	0	1	.188	.316	.188	.503	.000	.273	26	16	.253	52	-1	-0	-0	+6	+1	0.5
2019	25	AA	Arkansas Travelers	558	480	144	22	3	11	63	72	10	10	13	.300	.392	.427	.819	.127	.333	13	11	.367	139	+25	-3	—	—	+16	3.8
2021	27	MLB	Seattle Mariners	69	63	13	2	1	2	4	15	0	1	0	.206	.254	.365	.619	.159	.239	22	6	.266	62	-3	+0	-4	+1	+2	-0.3
2021	27	AAA	Tacoma Rainiers	334	283	86	20	1	13	35	36	11	1	3	.304	.401	.519	.921	.216	.305	11	10	.401	165	+25	-1	—	—	+9	3.4
2022	28	MLB	San Francisco Giants	78	76	12	8	0	1	1	16	1	0	0	.158	.179	.303	.482	.145	.186	21	1	.212	20	-7	+0	-3	+1	+2	-0.7
2022	28	AAA	Sacramento River Cats	145	122	31	10	2	2	18	19	1	5	1	.254	.355	.418	.773	.164	.287	13	12	.337	116	+3	+1	—	—	+4	0.8
2023	29	AAA	Sacramento River Cats	109	96	20	2	0	4	10	16	0	1	2	.208	.283	.354	.637	.146	.205	15	9	.280	73	-3	-1	—	—	+3	-0.1
2023	29	AA	Richmond Flying Squirrels	76	61	19	3	0	2	10	9	2	2	0	.311	.425	.459	.884	.148	.327	12	13	.383	151	+4	+0	—	—	+2	0.7
2023	29	A+	Eugene Emeralds	50	44	11	3	0	0	4	11	2	0	0	.250	.340	.318	.658	.068	.333	22	8	.307	93	-0	+0	—	—	+1	0.1
2023	29	ROK	ACL Giants Black	36	29	11	4	0	0	5	5	2	0	2	.379	.500	.517	1.017	.138	.458	14	14	.456	207	+4	-1	—	—	+1	0.5
2024	30	MLB	San Francisco Giants	25	22	3	0	0	1	2	7	1	0	0	.136	.240	.273	.513	.136	.143	28	8	.241	43	-2	+0	-1	+1	+1	-0.1
2024	30	AAA	Sacramento River Cats	387	340	104	17	4	7	39	46	4	4	1	.306	.384	.441	.825	.135	.333	12	10	.366	139	+17	+0	—	—	+11	2.9
2025	31	AAA	Lehigh Valley IronPigs	504	434	117	16	0	13	55	67	7	4	4	.270	.361	.396	.757	.127	.288	13	11	.339	117	+10	-1	—	—	+14	2.4
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			191	177	31	10	1	4	10	43	2	1	1	.175	.228	.311	.538	.136	.208	23	5	.239	41	-13	-0	-8	+10	+5	-0.6

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
Donovan Walton (OGILVIE)	32	60	45	45	50	.247/.309/.370	.123	.277	6	2	16%	7%	93	+0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Kevan Smith 2020 · MLB	32	54	44→50	49→40	47	.262/.314/.378	.116	.296	12	5	16%	6%	96	+1.5	.234/.305/.355	.121	.292	12	7	23%	8%	87	+0.8	.163/.242/.193	.030	.240	0	0	29%	9%	2	-0.9
✕Dioner Navarro 2015 · MLB	31	54→61	47→50	46→45	50	.270/.320/.401	.131	.293	16	4	14%	7%	104	+2.0	.240/.297/.367	.127	.274	15	4	18%	7%	86	+0.8	.208/.275/.313	.105	.245	12	1	20%	8%	60	-0.4
✕Joe Thurston 2012 · MLB	32	49→58	45	47→50	47	.239/.299/.366	.127	.276	12	10	18%	6%	87	+0.8	.235/.299/.350	.115	.275	11	11	18%	7%	82	+0.5	.244/.311/.336	.092	.284	8	10	16%	8%	80	+0.3
✕Terrence Long 2006 · MLB	30	55→58	44→50	45	50	.268/.314/.389	.121	.295	10	6	13%	6%	98	+1.6	.246/.291/.367	.121	.290	12	5	19%	6%	83	+0.6	.225/.263/.340	.116	.273	13	0	23%	5%	60	-0.6
✕Adonis García 2017 · MLB	32	54→56	48→50	46→50	42	.269/.301/.409	.140	.301	15	7	17%	4%	98	+1.6	.247/.289/.380	.133	.279	15	10	17%	4%	86	+0.8	.213/.260/.317	.104	.242	13	15	18%	4%	57	-0.5
✕Gerardo Parra 2019 · MLB	32	54→62	43→50	44→55	46	.264/.309/.377	.112	.306	11	10	17%	6%	93	+1.3	.244/.307/.366	.122	.290	13	12	20%	7%	90	+1.0	.222/.292/.345	.123	.269	13	12	22%	8%	73	-0.0
✕Gerald Laird 2013 · MLB	33	49→47	43→50	46→50	50	.238/.298/.349	.111	.270	10	6	16%	7%	82	+0.5	.244/.315/.343	.099	.289	7	6	17%	9%	87	+0.8	.233/.312/.302	.069	.288	2	2	18%	9%	71	-0.1
✕Corban Joseph 2021 · MLB	32	54→58	47→50	48→45	49	.265/.313/.410	.145	.289	14	5	14%	6%	104	+2.0	.243/.296/.368	.125	.280	12	7	17%	7%	85	+0.7	.255/.311/.359	.104	.286	9	0	14%	7%	86	+0.2
✕Eddie Taubensee 2001 · MLB	32	52	46→45	47→30	51	.256/.316/.384	.128	.285	14	5	16%	8%	98	+1.6	.251/.314/.384	.133	.282	15	6	16%	8%	98	+1.6	.248/.312/.359	.111	.274	14	0	15%	8%	85	+0.1
✕Greg Dobbs 2011 · MLB	33	46→56	50→55	48→50	47	.237/.287/.389	.152	.267	18	8	19%	6%	88	+0.9	.252/.297/.367	.115	.295	12	5	18%	6%	85	+0.7	.260/.307/.357	.097	.304	9	3	17%	6%	77	+0.1
✕Gabe Kapler 2008 · MLB	33	52→60	45→55	47→55	51	.252/.316/.384	.131	.279	12	8	15%	7%	98	+1.6	.259/.322/.429	.170	.289	18	9	16%	8%	113	+2.6	.254/.322/.423	.170	.282	17	9	16%	9%	108	+0.8
✕Conor Gillaspie 2017 · MLB	30	51→58	46→50	40	48	.253/.301/.394	.141	.283	12	4	16%	6%	94	+1.3	.233/.279/.362	.129	.257	13	8	15%	6%	77	+0.1	.214/.250/.307	.094	.234	8	8	12%	4%	46	-0.6
✕Rob Brantly 2022 · MLB	33	50→56	46→50	49→30	46	.247/.313/.375	.128	.281	14	5	18%	6%	95	+1.4	.233/.300/.335	.102	.280	9	5	19%	5%	79	+0.3	.225/.295/.310	.085	.274	6	1	19%	5%	68	-0.1
✕Didi Gregorius 2022 · MLB	32	46→55	53→60	47→50	48	.237/.293/.408	.171	.246	21	6	15%	6%	95	+1.4	.215/.277/.344	.129	.238	13	6	16%	6%	72	-0.2	.186/.248/.281	.095	.212	6	3	15%	5%	41	-0.7
●Marco Scutaro 2007 · MLB	31	53→62	45	50→45	54	.257/.318/.390	.133	.284	10	6	14%	8%	100	+1.7	.261/.338/.375	.114	.287	10	8	12%	10%	105	+2.1	.272/.348/.388	.116	.292	10	8	10%	10%	109	+2.4
✕Chris Gomez 2004 · MLB	33	52→54	45	45→40	48	.253/.294/.387	.134	.267	11	5	11%	5%	89	+1.0	.268/.324/.360	.092	.291	7	6	10%	7%	95	+1.4	.285/.347/.354	.069	.311	5	5	9%	8%	99	+0.7
●Timo Perez 2007 · MLB	32	48→58	46→50	45→50	49	.236/.283/.365	.129	.247	14	7	12%	6%	79	+0.3	.268/.311/.407	.139	.283	13	13	11%	5%	102	+1.9	.278/.324/.414	.135	.292	12	15	9%	5%	107	+1.8
✕Ronny Paulino 2012 · MLB	31	52→62	42→50	48→40	50	.251/.304/.356	.105	.289	9	3	17%	7%	85	+0.7	.244/.290/.339	.095	.298	8	4	20%	6%	75	-0.0	.259/.306/.369	.110	.299	13	3	18%	6%	89	+0.4
✕Hector Garanzuay 2014 · AAA	33	53→61	46→45	43→50	46	.263/.307/.395	.132	.299	13	8	17%	6%	97	+1.5	.267/.312/.370	.103	.301	10	6	14%	6%	92	+1.2	.265/.314/.345	.080	.296	8	3	13%	6%	85	+0.4
✕Adan Munoz 2010 · AAA	32	49→55	44→55	45	44	.240/.279/.349	.109	.265	12	6	16%	4%	73	-0.1	.246/.282/.389	.143	.269	17	5	16%	4%	85	+0.7	.245/.279/.389	.144	.263	18	3	15%	3%	85	+0.5

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)