Marconi German — OGILVIE

Marconi GermanSS FCL Nationals

Age 18 S/R 5'10" / 170 lbs ROK Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION186 act + 16 ros · stats below = ROS only

showingROS

wRC+†82

AVG/OBP/SLG.143 / .250 / .143

PA16

HR0

K%31

BB%12

BABIP271

ISO126

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$66M ctrl surplus

Tools · ContractCON 52 / POW 44

Toolsscout grade

CONTACT52

scouting grade only

POWER44

scouting grade only

EYE55

scouting grade only

SPEED55

scouting grade only

DEFENSE55

scouting grade only

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2031
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	+1.4	$8M	+$7M
2032	Pre-Arb	$0.9M	+1.5	$8M	+$7M
2033	Pre-Arb	$1.0M	+1.6	$8M	+$7M
2034	Arb-1	$5M	+1.6	$7M	+$5M
2035	Arb-2	$9M	+1.6	$6M	+$3M
2036	Arb-3	$13M	+1.4	$5M	+$0.8M
Totals		$30M		$42M	+$30M

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.

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)
2025	17	ROK	DSL Nationals	—	213	152	43	9	1	8	43	42	16	33	6	283	483	513	997	230	337	20	20	442	185	+22	+4	—	—	+5	3.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Nationals	—	213	170	33	7	1	5	25	62	16	33	6	194	351	335	686	141	251	29	12	301	90	-3	+4	—	—	+5	0.6
2025	17	ROK MLE	DSL Nationals	—	213	170	33	7	1	5	25	62	16	33	6	194	351	335	686	141	267	29	12	301	90	—	—	—	—	—	—
2025	17	ROK RAW	DSL Nationals	—	213	152	43	9	1	8	43	42	16	33	6	283	483	513	997	230	337	20	20	442	90	—	—	—	—	—	—
2025	17	ROK MLE	DSL Nationals	—	213	170	33	7	1	5	25	62	16	33	6	194	351	335	686	141	251	29	12	301	90	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	17	ROK MLE	DSL Nationals	—	213	170	33	7	1	5	25	62	16	33	6	194	351	335	686	141	251	29	12	301	90	—	—	—	—	—	—
YTD	18	ROK MLE	WSH	—	186	153	25	1	3	5	24	65	6	11	5	163	301	307	608	144	233	35	13	281	76	-5	+0	+0	+2	+4	0.1
▸ 2026 season
YTD	18	ROK RAW	WSH	—	186	138	34	2	5	7	39	45	6	11	5	246	432	486	917	239	303	24	21	403	76	—	—	—	—	—	—
ROS	18	ROK MLE	WSH	0%	16	14	2	0	0	0	2	5	0	1	0	143	250	143	393		274	31	12	290	82	-0	+0	-0	+0	+0	0.0
TOT	18	ROK MLE	WSH	—	202	167	27	1	3	5	26	70	6	12	5	162	296	293	590	132	232	35	13	282	77	-6	+0	-0	+2	+4	0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	19	MLB MLE	WSH	43%	263	228	47	7	3	6	27	75	6	6	2	206	307	342	649	136	279	29	10	300	89	-3	+0	-0	+3	+6	0.5
2028	20	MLB MLE	WSH	61%	387	336	72	11	4	10	40	108	8	9	3	214	312	360	673	146	282	28	10	306	93	-3	+1	-0	+4	+8	1.0
2029	21	MLB MLE	WSH	68%	479	416	91	14	5	13	50	131	10	11	3	219	317	370	687	151	284	27	10	310	96	-2	+1	-1	+5	+10	1.4
2030	22	MLB MLE	WSH	71%	544	471	104	16	5	15	56	147	12	12	3	221	319	372	691	151	285	27	10	313	98	-1	+1	-1	+6	+12	1.7
2031	23	MLB MLE	WSH	72%	588	509	114	18	6	17	61	158	13	13	4	224	322	383	706	159	285	27	10	315	99	-0	+1	-1	+6	+13	1.9
2032	24	MLB MLE	WSH	72%	615	533	120	19	6	18	64	164	13	14	4	225	323	385	708	159	286	27	10	317	100	+0	+1	-1	+7	+13	2.1
2033	25	MLB MLE	WSH	71%	627	542	121	19	6	18	66	167	14	14	4	223	323	380	703	157	286	27	11	317	101	+1	+1	-1	+7	+14	2.2
2034	26	MLB MLE	WSH	71%	634	548	122	19	6	18	67	169	14	14	4	223	323	378	700	155	286	27	11	318	101	+1	+1	-1	+7	+14	2.2
2035	27	MLB MLE	WSH	70%	634	548	122	19	6	18	67	170	14	14	4	223	323	378	700	155	286	27	11	318	101	+1	+1	-1	+7	+14	2.2
2036	28	MLB MLE	WSH	69%	629	543	121	19	6	18	67	169	14	13	4	223	324	379	703	157	285	27	11	317	101	+1	+1	-1	+7	+14	2.1
2037	29	MLB MLE	WSH	67%	619	534	119	18	6	18	67	168	13	13	4	223	324	380	704	157	285	27	11	315	100	-0	+1	-2	+7	+13	1.9
2038	30	MLB MLE	WSH	66%	609	525	116	18	6	17	66	166	13	12	3	221	323	375	698	154	284	27	11	313	98	-2	+1	-3	+7	+13	1.7
2039	31	MLB MLE	WSH	71%	595	513	111	17	5	16	64	164	13	11	3	216	319	363	681	146	282	28	11	309	95	-3	+1	-3	+6	+13	1.4
2040	32	MLB MLE	WSH	74%	576	497	106	16	5	15	62	161	12	11	3	213	315	356	671	143	279	28	11	304	92	-6	+1	-4	+6	+12	1.0
2041	33	MLB MLE	WSH	77%	546	472	98	14	5	14	58	156	11	9	3	208	309	347	656	140	275	29	11	298	88	-8	+1	-5	+6	+12	0.6
2042	34	MLB MLE	WSH	72%	499	433	87	12	4	12	53	146	10	8	2	201	302	330	633	129	270	29	11	290	82	-11	+1	-5	+5	+11	0.1
2027	19	MLB CTX	WSH	43%	114	99	21	3	1	3	12	33	2	3	1	212	310	354	663	141	276	29	11	281	89	-1	+0	-0	+1	+2	0.2
2028	20	MLB CTX	WSH	61%	236	205	44	7	2	6	24	66	5	5	2	215	312	356	668	141	279	28	10	287	93	-2	+0	-0	+3	+5	0.6
2029	21	MLB CTX	WSH	68%	326	282	62	10	3	9	34	89	7	7	2	220	319	372	691	152	281	27	10	292	96	-2	+1	-0	+3	+7	0.9
2030	22	MLB CTX	WSH	71%	387	336	74	12	3	11	40	104	8	9	2	220	318	372	690	152	282	27	10	295	98	-1	+1	-0	+4	+8	1.2
2031	23	MLB CTX	WSH	72%	425	369	81	13	3	12	44	114	9	9	3	220	318	369	686	149	282	27	10	297	99	-0	+1	-0	+5	+9	1.4
2032	24	MLB CTX	WSH	72%	440	381	85	13	4	13	46	118	10	10	3	223	323	381	703	157	283	27	10	298	100	+0	+1	-0	+5	+10	1.5
2033	25	MLB CTX	WSH	71%	446	386	87	14	4	13	47	119	10	10	3	225	325	383	708	158	283	27	11	299	101	+1	+1	-0	+5	+10	1.6
2034	26	MLB CTX	WSH	71%	450	390	87	14	4	13	47	120	10	10	3	223	322	379	702	156	283	27	10	299	101	+1	+1	-0	+5	+10	1.6
2035	27	MLB CTX	WSH	70%	441	381	84	13	3	13	47	118	10	10	3	220	322	373	695	152	283	27	11	299	101	+1	+1	-0	+5	+10	1.6
2036	28	MLB CTX	WSH	69%	433	375	83	13	3	13	46	116	9	9	3	221	321	376	697	155	283	27	11	298	101	+0	+1	-1	+5	+9	1.4
2037	29	MLB CTX	WSH	67%	414	357	78	12	3	12	45	112	9	9	2	218	321	370	691	151	282	27	11	297	100	-0	+1	-1	+4	+9	1.3
2038	30	MLB CTX	WSH	66%	401	346	75	12	3	11	43	110	9	8	2	217	319	364	683	147	281	27	11	294	98	-1	+1	-2	+4	+9	1.1
2039	31	MLB CTX	WSH	71%	422	365	78	12	3	11	45	117	9	8	2	214	315	353	668	140	279	28	11	291	95	-2	+1	-2	+5	+9	1.0
2040	32	MLB CTX	WSH	74%	429	371	78	12	3	11	46	120	9	8	2	210	312	348	660	137	276	28	11	286	92	-4	+1	-3	+5	+9	0.8
2041	33	MLB CTX	WSH	77%	419	362	74	11	3	10	45	120	9	7	2	204	308	334	642	130	272	29	11	280	88	-6	+1	-4	+4	+9	0.4
2042	34	MLB CTX	WSH	72%	361	313	62	9	3	8	38	105	7	6	2	198	299	323	622	125	267	29	11	272	82	-8	+0	-4	+4	+8	0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	6144	5318	1153	180	48	169	649	1681	132	128	37	217	317	364	681	147	281	27	11	292	96	-25	+11	-21	+66	+133	16.7
/ 162G	—	A+C		—	650	563	122	19	5	18	69	178	14	14	4	217	318	364	682	147	281	27	11	292	96	-3	+1	-2	+7	+14	1.8
Career	—	MLE		—	9073	7832	1706	263	85	248	962	2486	206	218	59	218	319	368	687	150	283	27	11	311	96	-37	+16	-29	+95	+192	24.2
/ 162G	—	MLE		—	650	561	123	19	6	18	69	178	15	16	4	219	321	371	692	152	285	27	11	311	96	-3	+1	-2	+7	+14	1.8

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Brandon Ingelast yr '13 career totals — 13 seasons, 5,617 PA	8.5	5,617	152	45	233	301	384	+26	+73	19.8	20.5
/162	664	18	5	+3.1	+8.6	2.3	pk7: 21
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 12 projected seasons	9.5	6,325	173	131	220	316	371	+65	+24	22.3	17.5
/162	664	18	14	+6.8	+2.5	2.3	pk7: 13
#2John Bucklast yr '14 career totals — 11 seasons, 4,009 PA	6.0	4,009	134	6	234	301	398	+72	+7	16.9	15.7
/162	664	22	1	+11.9	+1.2	2.8	pk7: 14
#3Jarrod Saltalamacchialast yr '16 career totals — 9 seasons, 3,127 PA	4.7	3,127	110	5	235	308	414	+56	-10	14.1	14.8
/162	664	23	1	+11.9	-2.1	3.0	pk7: 16
#4Zack Cozartlast yr '19 career totals — 8 seasons, 3,350 PA	5.0	3,350	85	21	246	300	398	+33	+38	14.2	14.8
/162	664	17	4	+6.6	+7.6	2.8	pk7: 15
#5Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12
#6Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12

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
Marconi German (OGILVIE)	18	25→52	25→44	55	55	199/301/328	128	274	4	6	30%	10%	82	+0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Edgar Quero 2022 · A	19	44→54	44→50	48→40	45	201/299/321	121	330	10	6	38%	10%	80	-0.2	237/326/378	141	300	15	5	24%	10%	102	+1.5	240/328/378	138	294	15	4	22%	9%	100	+1.0
●Moisés Ballesteros 2022 · A	18	45→55	40→50	50→40	52	216/294/311	95	269	7	8	22%	9%	74	-0.5	225/287/355	130	281	15	4	24%	8%	81	-0.1	255/314/382	127	304	14	3	20%	7%	96	+0.9
●Adael Amador 2022 · A	19	45→54	41→50	45→55	48	220/284/320	100	275	8	11	23%	8%	72	-0.7	239/315/371	132	277	15	17	19%	9%	96	+1.0	231/310/363	132	264	16	23	19%	9%	89	+0.4
✕Juan Brito 2021 · A	19	47→48	41→50	53→45	48	227/287/331	103	273	8	13	20%	7%	76	-0.4	228/306/352	124	285	12	10	23%	9%	88	+0.4	229/316/366	137	276	13	9	21%	10%	94	+0.6
✕Bryan Rincon 2023 · A	19	42→44	45	53→55	45	210/278/331	121	275	12	11	28%	8%	73	-0.6	192/286/292	100	274	9	22	30%	11%	68	-1.0	183/281/318	135	255	15	31	32%	11%	70	-0.5
✕Ronarsy Ledesma 2011 · A	18	44	44→45	53→50	41	217/277/335	118	288	11	9	28%	6%	73	-0.6	219/286/320	101	286	6	11	24%	6%	73	-0.6	226/280/337	111	291	6	11	23%	4%	73	-0.3
✕Juan Matheus 2023 · A	19	42→46	42→45	51→55	53	197/305/310	112	291	8	16	32%	12%	79	-0.2	210/302/306	96	297	6	20	28%	11%	76	-0.4	217/288/319	102	277	9	23	24%	8%	72	-0.5
✕Francisco Mejía 2015 · A	19	45→55	44→55	49→40	40	221/266/338	118	283	11	8	26%	5%	70	-0.9	237/282/343	106	292	10	4	22%	5%	76	-0.4	256/302/422	166	302	16	1	21%	5%	101	+0.7
●Josue De Paula 2023 · A	18	51	43→50	50→55	51	244/315/357	114	300	9	14	21%	9%	92	+0.7	228/318/325	97	308	8	17	26%	11%	86	+0.3	228/320/369	141	283	16	24	24%	11%	94	+0.8
✕Eddys Leonard 2019 · A	18	41→46	41→50	48→50	48	200/282/301	101	267	9	14	27%	9%	68	-1.0	209/282/325	116	301	11	8	32%	8%	73	-0.6	222/288/367	145	291	16	4	28%	6%	82	-0.0
✕Ravel Santana 2011 · A	19	43	46→50	51→55	47	216/296/344	128	273	15	16	26%	8%	83	+0.1	220/281/361	141	294	15	13	29%	7%	80	-0.1	205/253/387	182	264	22	15	31%	6%	75	-0.2
●Evan Carter 2022 · A	19	46→53	42→50	52→55	55	216/324/330	114	293	8	18	27%	12%	91	+0.6	237/321/380	143	308	13	20	25%	10%	100	+1.3	237/324/389	152	306	14	21	25%	10%	100	+0.9
✕Jesus Rodriguez 2021 · A	19	46→55	42→45	49→50	46	224/285/337	113	288	9	9	25%	8%	76	-0.4	235/301/339	104	297	6	12	21%	8%	82	+0.0	256/318/360	105	310	9	16	19%	7%	92	+0.5
✕Domingo Leyba 2014 · A	18	51	44→50	53→45	52	244/312/377	133	284	9	14	17%	8%	95	+1.0	235/278/323	88	288	5	8	19%	5%	70	-0.9	225/285/349	124	255	14	6	18%	7%	78	-0.2
✕Edwin Arroyo 2023 · A	19	46→56	47→45	54→50	40	224/287/363	139	322	14	14	33%	6%	83	+0.1	224/277/346	122	304	10	16	28%	6%	75	-0.5	235/285/347	112	302	9	15	24%	5%	76	-0.4
✕Ramón Cabrera 2009 · A	19	43→53	40	51→40	49	209/274/305	96	254	7	7	20%	8%	65	-1.2	237/285/325	88	280	4	5	16%	6%	73	-0.6	271/325/356	85	309	2	3	12%	7%	92	+0.6
●Jackson Holliday 2023 · A	19	50→60	41→50	49→50	58	237/329/342	104	299	8	10	22%	12%	94	+0.9	248/333/382	134	332	12	14	26%	11%	104	+1.6	244/329/380	136	317	13	15	25%	11%	100	+1.3
✕Randy Florentino 2019 · A	19	46	45→50	45	51	220/308/355	135	308	10	8	30%	11%	89	+0.5	191/267/284	93	292	7	5	34%	9%	57	-1.8	188/237/266	78	247	8	4	27%	6%	40	-0.9
✕Harry Ford 2022 · A	19	45→48	46→45	52→55	43	221/287/358	137	309	13	9	31%	8%	82	+0.0	212/317/339	127	293	12	16	29%	11%	90	+0.6	205/315/325	120	278	12	21	28%	12%	83	+0.1
✕Bo Naylor 2019 · A	19	44→43	39→55	52→50	46	210/278/299	89	296	6	9	30%	8%	65	-1.2	190/247/308	118	273	11	8	33%	7%	55	-1.9	213/305/387	174	267	21	12	27%	11%	94	+0.7

Career Stats + Projections

Career Comps

Career Path Comps