Mitch Garver — OGILVIE

Mitch GarverC Seattle Mariners

Age 35 R/R 6'1" / 220 lbs MLB HR +3% Svc 8.262 · Ctrl thru 2026 peak 1.3 · 2026

wRC+†vL 10292vR 48

AVG/OBP/SLG.211 / .312 / .381

PA316

HR12

K%27

BB%12

MLB%100%

Scouting · now → future

HIT

35→35

PWR

50→50

SPD

40→40

EYE

61↘60

trajectory · 10 yrs

1.2peak

2026

Contract

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

Status FA

MLB Debut 2017

Service 8.262 yrs.days

Team Control Through 2026

First FA Year 2027

OPT

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$2M	+1.3	$10M	+$8M
Totals		$2M		$10M	+$8M

Options · projected decision
2027	MUTUAL OPT	$2026.0M / $0.0M buyout	DECLINE
2028	MUTUAL OPT	$12.0M / $1.0M buyout	DECLINE
2029	MUTUAL OPT	$2026.0M / $1.0M buyout	DECLINE

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
2013	22	ROK	Elizabethton Twins	225	210	39	11	1	2	11	44	2	0	0	.186	.233	.276	.509	.090	.224	20	5	.222	28	-18	+0	+0	+4	+6	-0.8
2014	23	A	Cedar Rapids Kernels	504	449	107	22	1	12	42	84	12	7	5	.238	.320	.372	.692	.134	.268	17	8	.302	89	-6	-1	+0	+9	+14	1.7
2015	24	A+	2 teams	567	497	99	25	1	3	52	129	10	7	3	.199	.288	.272	.560	.072	.257	23	9	.257	55	-29	+0	+0	+10	+16	-0.3
2016	25	AA	3 teams	568	524	112	26	0	10	37	165	1	1	4	.214	.267	.321	.588	.107	.287	29	7	.260	57	-28	-1	+0	+10	+16	-0.3
2017	26	AAA	2 teams	424	384	86	23	1	15	38	117	1	2	0	.224	.296	.406	.702	.182	.281	28	9	.305	91	-4	+0	-1	+8	+12	1.5
2018	27	MLB	Minnesota Twins	335	302	78	20	1	6	29	72	2	0	0	.258	.327	.391	.718	.132	.320	21	9	.312	97	-1	+0	-9	+6	+9	0.5
2019	28	MLB	Minnesota Twins	359	311	85	14	1	32	41	87	5	0	0	.273	.367	.633	1.000	.360	.273	24	11	.424	183	+34	+0	+4	+6	+10	5.5
2020	29	MLB	Minnesota Twins	81	72	12	1	0	2	7	37	1	0	0	.167	.250	.264	.514	.097	.294	46	9	.233	37	-6	+0	-1	+1	+2	-0.3
2021	30	MLB	2 teams	273	234	60	16	0	14	33	81	4	1	1	.256	.358	.504	.862	.248	.326	30	12	.365	137	+12	-0	+2	+5	+8	2.7
2022	31	MLB	Texas Rangers	215	188	39	7	0	10	23	53	2	1	1	.207	.300	.404	.705	.197	.228	25	11	.307	93	-2	-0	-1	+4	+6	0.8
2023	32	MLB	2 teams	369	318	81	12	0	17	48	91	3	0	0	.255	.358	.453	.811	.198	.305	25	13	.352	127	+11	+0	+1	+7	+10	3.0
2024	33	MLB	Seattle Mariners	430	367	63	17	0	15	53	133	7	0	0	.172	.288	.341	.629	.169	.216	31	12	.283	75	-12	+0	-1	+8	+12	0.6
2025	34	MLB	Seattle Mariners	290	254	54	5	1	9	30	80	3	3	0	.213	.303	.346	.650	.134	.268	28	10	.286	77	-8	+1	+0	+5	+8	0.7
▸ 2026 Season (actual · ROS · total)
2026	35	MLB	Seattle Mariners	29	25	4	1	0	0	4	10	0	0	0	.160	.276	.200	.476	.040	.267	34	14	.232	35	-2	+0	+1	+1	+1	-0.0
ROS	35	MLB	SEA	287	249	53	9	1	11	33	78	3	2	1	.213	.312	.390	.702	.177	.260	27	11	.314	98	-1	+0	+0	+5	+8	1.3
TOT	35	MLB	SEA	316	274	57	10	1	11	37	88	3	2	1	.208	.309	.372	.681	.164	.261	28	12	.306	92	-3	+0	+1	+6	+9	1.3
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	36	MLB	SEA	201	174	35	6	0	7	23	57	2	1	0	.201	.302	.356	.658	.155	.257	28	11	.304	91	-2	+0	-6	+4	+6	0.1
2028	37	MLB	SEA	145	126	25	4	0	5	16	42	2	0	0	.198	.299	.349	.648	.151	.252	29	11	.293	83	-3	+0	-7	+3	+4	-0.3
▸ Career Totals (MLE all levels + projections)
Career	—			5273	4659	1028	218	8	170	516	1350	60	25	15	.221	.306	.380	.687	.160	.270	26	10	.302	90	-62	-1	-18	+94	+149	16.6
/ 162G	—			650	574	127	27	1	21	64	166	7	3	2	.221	.307	.382	.688	.160	.271	26	10	.302	90	-8	-0	-2	+12	+18	2.0

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
2013	22	ROK	Elizabethton Twins	225	202	49	15	2	2	19	31	2	0	0	.243	.314	.366	.680	.124	.276	14	8	.305	91	-2	+0	—	—	+6	0.4
2014	23	A	Cedar Rapids Kernels	504	430	128	29	1	16	61	65	12	7	5	.298	.400	.481	.881	.184	.320	13	12	.392	158	+33	-1	—	—	+14	4.8
2015	24	A+	Fort Myers Miracle	520	433	106	24	1	4	69	82	10	5	3	.245	.361	.333	.694	.088	.287	16	13	.319	102	+1	-0	—	—	+15	1.6
2015	24	INTL	Scottsdale Scorpions	47	41	13	5	0	1	6	10	0	2	0	.317	.404	.512	.916	.195	.400	21	13	.405	168	+4	+0	—	—	+1	0.5
2016	25	AAA	Rochester Red Wings	84	76	25	5	0	1	7	21	0	0	0	.329	.386	.434	.820	.105	.436	25	8	.364	137	+3	+0	—	—	+2	0.6
2016	25	AA	Chattanooga Lookouts	407	358	92	25	0	11	43	86	1	1	3	.257	.338	.419	.757	.162	.305	21	11	.335	115	+7	-1	—	—	+12	1.8
2016	25	INTL	Surprise Saguaros	77	70	16	4	0	4	7	17	0	0	1	.229	.299	.457	.756	.229	.245	22	9	.332	112	+1	-0	—	—	+2	0.3
2017	26	MLB	Minnesota Twins	52	46	9	1	3	0	6	15	0	0	0	.196	.288	.348	.636	.152	.290	29	12	.285	77	-1	+0	-1	+8	+1	0.7
2017	26	AAA	Rochester Red Wings	372	320	93	29	0	17	50	85	1	2	0	.291	.388	.541	.929	.250	.347	23	13	.405	168	+29	+0	—	—	+11	4.0
2018	27	MLB	Minnesota Twins	335	302	81	19	2	7	29	72	2	0	0	.268	.336	.414	.750	.146	.330	21	9	.334	114	+5	+0	-9	+6	+9	1.2
2019	28	MLB	Minnesota Twins	359	311	85	16	1	31	41	87	5	0	0	.273	.367	.630	.997	.357	.277	24	11	.425	183	+34	+0	+4	+6	+10	5.5
2020	29	MLB	Minnesota Twins	81	72	12	1	0	2	7	37	1	0	0	.167	.250	.264	.514	.097	.294	46	9	.237	40	-6	+0	-1	+1	+2	-0.2
2021	30	MLB	Minnesota Twins	243	207	53	15	0	13	31	71	3	1	1	.256	.361	.517	.878	.261	.320	29	13	.382	150	+14	-0	+2	+5	+7	2.8
2021	30	AAA	St. Paul Saints	30	26	6	0	0	0	3	8	1	0	0	.231	.333	.231	.564	.000	.333	27	10	.275	69	-1	+0	—	—	+1	-0.0
2022	31	MLB	Texas Rangers	215	188	39	7	0	10	23	53	2	1	1	.207	.300	.404	.705	.197	.228	25	11	.313	97	-1	-0	-1	+4	+6	0.9
2023	32	MLB	Texas Rangers	344	296	80	11	0	19	44	82	3	0	0	.270	.369	.500	.869	.230	.313	24	13	.383	151	+20	+0	+1	+7	+10	3.8
2023	32	AAA	Round Rock Express	25	19	6	2	0	2	6	7	0	0	0	.316	.480	.737	1.217	.421	.400	28	24	.509	248	+4	+0	—	—	+1	0.5
2024	33	MLB	Seattle Mariners	430	367	63	17	0	15	53	133	7	0	0	.172	.288	.341	.629	.169	.216	31	12	.287	77	-11	+0	-1	+8	+12	0.8
2025	34	MLB	Seattle Mariners	290	254	53	5	1	9	30	80	3	3	0	.209	.300	.343	.642	.134	.262	28	10	.291	81	-6	+1	+0	+5	+8	0.8
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			2349	2043	475	92	7	106	264	630	26	5	2	.233	.328	.440	.768	.208	.279	27	11	.340	118	+48	+0	-5	+50	+67	16.3

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
Mitch Garver (OGILVIE)	35	35	50	40	60	.211/.312/.381	.170	.260	12	2	27%	12%	98	+0.8	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Nick Hundley 2019 · MLB	35	48→45	53→55	46→40	44	.247/.297/.424	.177	.303	20	4	25%	7%	102	+1.8	.227/.279/.384	.157	.303	18	6	30%	6%	83	+0.6	.167/.203/.288	.122	.239	14	0	36%	4%	25	-0.8
✕John Buck 2014 · MLB	34	42→52	51→55	43→30	51	.219/.300/.370	.151	.258	20	3	24%	9%	89	+1.0	.232/.300/.359	.127	.289	15	5	24%	8%	85	+0.7	.238/.300/.312	.074	.311	6	0	24%	7%	70	-0.1
✕Jonathan Aceves 2013 · AAA	35	44	49→55	41→30	42	.227/.275/.375	.148	.279	18	5	26%	6%	79	+0.3	.223/.277/.366	.143	.268	18	4	24%	6%	78	+0.2	.243/.313/.364	.121	.289	14	1	20%	7%	90	+0.5
✕Cody Ransom 2011 · MLB	35	42→41	53→55	48→50	44	.221/.281/.393	.172	.275	20	8	28%	7%	87	+0.8	.220/.290/.402	.182	.297	22	8	32%	8%	93	+1.3	.209/.290/.400	.192	.287	24	6	34%	10%	89	+0.5
✕Brooks Conrad 2015 · MLB	35	41→44	56→55	37→50	41	.220/.276/.411	.190	.285	25	3	32%	7%	89	+1.0	.194/.254/.321	.127	.261	14	6	30%	6%	57	-1.2	.146/.214/.229	.083	.201	8	3	30%	6%	14	-2.2
✕Curt Casali 2023 · MLB	34	44	49→50	48→30	53	.218/.322/.368	.150	.293	17	5	30%	12%	98	+1.6	.223/.317/.330	.107	.291	10	4	25%	10%	86	+0.8	.218/.318/.287	.069	.282	5	0	22%	10%	74	-0.0
✕Adam Rosales 2018 · MLB	35	43→48	50→55	44→45	42	.222/.283/.377	.155	.300	18	8	32%	7%	83	+0.6	.206/.259/.346	.140	.270	17	5	29%	6%	65	-0.7	.187/.237/.314	.128	.240	16	3	29%	5%	45	-1.3
✕Dan Uggla 2015 · MLB	35	37→47	52→65	45	56	.199/.314/.360	.162	.254	20	4	29%	13%	94	+1.3	.208/.303/.343	.135	.278	14	6	28%	11%	84	+0.6	.179/.295/.293	.115	.250	8	0	28%	13%	63	-0.2
✕Anthony Recker 2017 · MLB	33	42→48	50	48→45	47	.214/.292/.365	.151	.283	18	5	30%	9%	85	+0.7	.212/.279/.357	.145	.289	16	5	31%	7%	77	+0.1	.194/.255/.340	.146	.266	16	1	32%	6%	59	-0.5
✕Miguel Olivo 2013 · MLB	35	45→52	53→60	41→50	38	.236/.269/.401	.165	.288	22	8	27%	4%	84	+0.6	.242/.280/.409	.167	.311	21	8	29%	5%	90	+1.0	.232/.272/.372	.140	.326	15	8	33%	5%	73	-0.1
✕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
●Robinson Chirinos 2017 · MLB	33	43→47	56→60	40→50	49	.230/.307/.427	.197	.263	24	3	23%	8%	107	+2.2	.234/.337/.444	.210	.291	26	4	28%	10%	124	+3.4	.229/.342/.433	.204	.295	26	2	29%	11%	117	+1.9
✕Sean Rodríguez 2019 · MLB	34	42→49	55→60	46→50	49	.219/.310/.401	.182	.290	24	6	32%	10%	102	+1.9	.221/.313/.384	.163	.308	20	7	32%	10%	98	+1.6	.207/.312/.377	.171	.292	21	3	34%	11%	92	+0.4
✕John Valentin 2002 · MLB	35	47	49→45	45→30	56	.238/.317/.386	.148	.255	17	8	15%	10%	100	+1.7	.240/.331/.369	.129	.273	11	5	16%	9%	102	+1.8	.238/.339/.352	.114	.276	7	0	15%	9%	99	+0.7
✕Rod Barajas 2012 · MLB	36	43→47	56→60	46→30	45	.235/.282/.422	.187	.245	26	2	18%	5%	95	+1.4	.229/.297/.391	.162	.255	21	4	20%	7%	93	+1.3	.208/.287/.344	.137	.230	19	0	19%	8%	69	-0.2
✕Adam Hyzdu 2006 · MLB	34	45→44	49→50	39→45	51	.227/.309/.373	.146	.293	17	6	27%	10%	93	+1.3	.222/.298/.372	.150	.280	17	8	26%	10%	88	+0.9	.210/.290/.359	.149	.258	17	7	25%	10%	81	+0.4
✕Sal Fasano 2007 · MLB	35	44	55	42→40	39	.235/.290/.416	.181	.290	24	4	28%	5%	97	+1.5	.217/.276/.357	.140	.283	17	5	29%	4%	76	+0.1	.192/.249/.300	.108	.264	12	3	31%	3%	47	-0.6
✕Todd Pratt 2002 · MLB	35	47	50→45	48→40	59	.234/.345/.388	.153	.287	17	5	24%	13%	113	+2.6	.256/.372/.415	.159	.328	15	6	24%	14%	131	+3.9	.273/.397/.432	.158	.357	14	3	24%	15%	135	+1.0
✕Said Gutierrez 2013 · AAA	33	46	52→50	43→40	45	.241/.292/.401	.160	.276	21	6	22%	6%	94	+1.3	.236/.281/.363	.127	.267	15	6	18%	5%	79	+0.3	.228/.272/.338	.110	.254	15	3	17%	5%	66	-0.3
✕Dustin Garneau 2022 · MLB	34	38	56→50	48→45	44	.207/.287/.398	.191	.266	24	5	31%	8%	92	+1.2	.199/.277/.358	.159	.261	19	7	31%	7%	77	+0.1	.146/.241/.274	.128	.186	16	2	31%	7%	40	-0.8

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)