German Guilarte — OGILVIE

German GuilarteC DSL Mariners

Age 23 R/R 5'10" / 167 lbs ROK K +7%HR -5% Svc 0.0 · Ctrl thru 2037

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 62 proj PA

wRC+†57

AVG/OBP/SLG.197 / .268 / .278

PA5

HR0

K%31

BB%8

ISO81

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$3M ctrl surplus

Tools · Contract

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2032
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2033	Pre-Arb	$1.0M	—	—	—
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.3M	+$0.0M

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how these numbers are built

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. Catcher framing: only 2026 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run below FG-DC by 1-3 WAR.

Year	Age	Lvl	Team	MLB%	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
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2021	18	ROK	DSL Mariners	—	57	41	8	3	2	0	10	21	6	1	1	195	421	366	787	171	400	37	18	372	138	+3	-0	—	—	+1	0.4
2022	19	ROK	DSL Mariners	—	75	60	9	1	0	0	7	21	7	0	1	150	311	167	477	17	231	28	9	247	54	-4	-0	—	—	+2	-0.3
2023	20	ROK	DSL Mariners	—	173	144	31	5	1	2	18	47	7	0	0	215	331	306	637	90	293	27	10	293	85	-3	+0	—	—	+4	0.1
2024	21	ROK	DSL Mariners	—	110	87	16	3	0	0	20	24	2	2	0	184	349	218	567	34	250	22	18	282	77	-3	+0	—	—	+2	-0.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	18	ROK MLE	DSL Mariners	—	57	45	4	1	1	0	6	30	6	1	1	89	281	156	436	67	297	53	11	227	40	-4	-0	—	—	+1	-0.3
2022	19	ROK MLE	DSL Mariners	—	75	63	7	1	0	0	4	31	7	0	1	111	243	127	370	16	181	41	5	163	-4	-9	-0	—	—	+2	-0.8
2023	20	ROK MLE	DSL Mariners	—	173	151	23	3	1	1	11	66	7	0	0	152	243	205	448	53	240	38	6	209	28	-15	+0	—	—	+4	-1.1
2024	21	ROK MLE	DSL Mariners	—	110	94	13	2	0	0	13	34	2	2	0	138	257	160	416	21	214	31	12	208	27	-10	+0	—	—	+2	-0.7
2021	18	ROK MLE	DSL Mariners	—	57	45	4	1	1	0	6	30	6	1	1	89	281	156	436	67	267	53	11	227	40	—	—	—	—	—	—
2021	18	ROK RAW	DSL Mariners	—	57	41	8	3	2	0	10	21	6	1	1	195	421	366	787	171	400	37	18	372	40	—	—	—	—	—	—
2022	19	ROK MLE	DSL Mariners	—	75	63	7	1	0	0	4	31	7	0	1	111	243	127	370	16	219	41	5	163	-4	—	—	—	—	—	—
2022	19	ROK RAW	DSL Mariners	—	75	60	9	1	0	0	7	21	7	0	1	150	311	167	477	17	231	28	9	247	-4	—	—	—	—	—	—
2023	20	ROK MLE	DSL Mariners	—	173	151	23	3	1	1	11	66	7	0	0	152	243	205	448	53	250	38	6	209	28	—	—	—	—	—	—
2023	20	ROK RAW	DSL Mariners	—	173	144	31	5	1	2	18	47	7	0	0	215	331	306	637	90	293	27	10	293	28	—	—	—	—	—	—
2024	21	ROK MLE	DSL Mariners	—	110	94	13	2	0	0	13	34	2	2	0	138	257	160	416	21	213	31	12	208	27	—	—	—	—	—	—
2024	21	ROK RAW	DSL Mariners	—	110	87	16	3	0	0	20	24	2	2	0	184	349	218	567	34	250	22	18	282	27	—	—	—	—	—	—
2021	18	ROK MLE	DSL Mariners	—	57	45	4	1	1	0	6	30	6	1	1	89	281	156	436	67	297	53	11	227	40	—	—	—	—	—	—
2022	19	ROK MLE	DSL Mariners	—	75	64	7	1	0	0	4	31	7	0	1	109	243	125	368	16	181	41	5	163	-4	—	—	—	—	—	—
2023	20	ROK MLE	DSL Mariners	—	173	153	23	3	1	1	11	66	7	0	0	150	243	203	445	52	240	38	6	209	28	—	—	—	—	—	—
2024	21	ROK MLE	DSL Mariners	—	110	94	13	2	0	0	13	34	2	2	0	138	257	160	416	21	214	31	12	208	27	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	20	ROK MLE	DSL Mariners	—	173	153	23	3	1	1	11	66	7	0	0	150	243	203	445	52	240	38	6	209	28	—	—	—	—	—	—
2024	21	ROK MLE	DSL Mariners	—	110	94	13	2	0	0	13	34	2	2	0	138	257	160	416	21	214	31	12	208	27	—	—	—	—	—	—
▸ 2026 season
2026	23	MLB MLE	SEA	0%	5	5	1	0	0	0	0	2	0	0	0	200	200	200	400		286	40	0	253	57	-0	+0	+0	+0	+0	0.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	SEA	30%	107	97	20	3	1	2	8	32	1	1	0	206	274	320	593	113	288	30	7	265	65	-4	+0	+0	+2	+2	-0.0
2028	25	MLB MLE	SEA	44%	224	202	42	7	1	4	17	65	3	2	1	208	279	312	591	104	288	29	8	272	70	-8	+0	+0	+4	+5	0.1
2029	26	MLB MLE	SEA	51%	308	277	59	10	2	6	24	89	4	3	1	213	285	329	614	116	289	29	8	277	74	-10	+0	+0	+6	+7	0.3
2030	27	MLB MLE	SEA	52%	355	319	69	12	2	7	28	102	5	4	1	216	290	332	622	116	289	29	8	278	74	-11	+0	+0	+6	+8	0.4
2031	28	MLB MLE	SEA	53%	383	344	73	13	2	7	31	111	5	4	1	212	287	323	610	110	288	29	8	277	74	-12	+0	-1	+7	+8	0.3
2032	29	MLB MLE	SEA	53%	393	353	74	13	2	7	32	114	5	4	1	210	285	317	602	108	287	29	8	275	72	-13	+0	-1	+7	+9	0.2
2033	30	MLB MLE	SEA	52%	397	357	75	13	2	7	32	117	5	3	1	210	284	317	601	106	286	29	8	272	70	-14	+0	-2	+7	+9	-0.0
2027	24	MLB CTX	SEA	30%	32	30	5	1	0	0	2	10	0	0	0	167	219	200	419	33	285	31	6	253	65	-1	+0	+0	+1	+1	-0.0
2028	25	MLB CTX	SEA	44%	99	90	19	3	1	2	8	29	1	1	0	211	283	333	616	122	286	29	8	260	70	-3	+0	+0	+2	+2	0.1
2029	26	MLB CTX	SEA	51%	156	141	30	5	1	3	12	45	2	2	1	213	284	326	610	113	286	29	8	265	74	-5	+0	+0	+3	+3	0.1
2030	27	MLB CTX	SEA	52%	186	167	35	6	1	3	15	54	2	2	1	210	283	311	594	102	286	29	8	266	74	-6	+0	+0	+3	+4	0.2
2031	28	MLB CTX	SEA	53%	204	183	39	7	1	4	16	59	3	2	1	213	287	328	615	115	285	29	8	265	74	-6	+0	-0	+4	+4	0.1
2032	29	MLB CTX	SEA	53%	206	184	39	7	1	4	17	60	3	2	1	212	289	326	615	114	285	29	8	263	72	-7	+0	-1	+4	+4	0.1
2033	30	MLB CTX	SEA	52%	207	185	38	6	1	4	17	61	3	2	1	205	283	314	596	108	283	29	8	261	70	-7	+0	-1	+4	+4	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1090	980	205	35	6	20	87	318	14	11	5	209	283	318	601	109	286	29	8	263	64	-36	+0	-2	+19	+24	0.5
/ 162G	—	A+C		—	650	584	123	21	4	12	52	190	8	7	3	211	284	322	606	111	288	29	8	263	64	-21	+0	-1	+12	+14	0.3
Career	—	MLE		—	2587	2307	460	78	14	41	206	793	50	24	8	199	279	299	578	99	281	31	8	263	64	-72	+2	-4	+39	+47	1.2
/ 162G	—	MLE		—	650	580	116	20	4	10	52	199	13	6	2	200	281	300	581	100	283	31	8	263	64	-22	+1	-1	+12	+14	0.4

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#2Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
#3Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
#4Guillermo Heredialast yr '22 career totals — 6 seasons, 1,530 PA	2.3	1,530	25	6	231	311	345	+3	+17	3.5	3.5
/162	664	11	3	+1.2	+7.6	1.5	pk7: 3
#5Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	1.7	1,153	20	12	212	282	320	+21	+16	1.5	1.5
/162	664	12	7	+11.9	+9.2	0.9	pk7: 2
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	pk7: -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
German Guilarte (OGILVIE)	23	—	—	—	—	197/268/278	81	286	1	1	31%	8%	57	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Brian Navarreto 2018 · AA	23	37	37→45	43→30	37	183/224/248	65	243	5	3	27%	4%	32	-3.6	197/235/284	87	242	8	3	22%	4%	45	-2.7	200/249/314	115	246	14	1	25%	5%	55	-0.7
✕Randy Claxton 2007 · A	21	35	35→30	46→45	40	170/233/226	56	243	3	7	30%	6%	32	-3.7	195/281/257	62	265	2	6	25%	8%	57	-1.8	184/298/226	42	243	0	2	21%	10%	58	-0.6
✕Antonio Jimenez 2009 · A	22	39	37→40	48→50	33	187/224/256	69	298	4	11	38%	4%	34	-3.5	191/224/264	73	297	4	9	35%	3%	35	-3.4	166/183/237	70	246	2	7	33%	1%	11	-2.0
✕Jake Gatewood 2017 · A	21	35→39	41→50	42→45	30	179/211/276	97	279	9	5	39%	4%	34	-3.5	189/231/310	121	299	13	5	39%	5%	50	-2.3	160/206/312	152	240	20	6	42%	4%	39	-2.1
✕Brody Westmoreland 2017 · A	21	40	38→45	52→30	30	171/230/248	78	350	5	5	50%	6%	36	-3.4	188/247/291	103	331	10	4	43%	6%	52	-2.2	159/219/269	110	264	15	1	44%	6%	36	-1.3
✕Hanser Ortiz 2016 · A	22	37	34→30	43→45	41	176/230/228	52	243	2	4	27%	6%	30	-3.8	187/252/260	73	241	4	7	23%	7%	47	-2.6	152/228/220	68	178	5	9	17%	8%	30	-1.3
✕Nick Thurman 2019 · A	25	40	37→30	46→40	32	184/234/252	68	325	5	4	43%	5%	37	-3.3	172/224/256	84	348	8	7	49%	6%	35	-3.4	102/155/171	69	225	9	6	57%	5%	-12	-2.8
✕Wigberto Nevarez 2016 · A	25	35	38→30	43→45	36	178/225/252	75	255	6	5	32%	5%	34	-3.5	178/227/258	80	291	6	6	39%	5%	36	-3.4	120/165/173	53	201	3	0	40%	5%	-10	-1.6

Career Stats + Projections

Career Comps

Career Path Comps