Marconi German

SS FCL Nationals

Age 19 S/R 5'10" / 170 lbs ROK Svc 0.0 · Ctrl thru 2036

Overview

ROKPROSPECTMiLBFA 2037

OGV OFP35OGV rank#514ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	17	ROKWSH	213	.283/.483/.513	8	33	75	—	.169/.346/.271
2026	18	ROKWSH	186	.246/.432/.486	7	11	78	—	.163/.301/.307
2027PROJMLE	19	MLBWSH	296	.212/.302/.328	5	7	80	0.2
2028PROJ34% MLB	20	MLBWSH	51	.215/.305/.335	1	1	85	0.1
2029PROJ48% MLB	21	MLBWSH	122	.219/.309/.344	3	3	88	0.2

Next 3 projected WAR 0.5Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2036Service0.0First FA2037

2027MiLB2028MiLB2029MiLB2030MiLB2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Arb-1$4M+2

Skills · percentileMiLB Statcast 2026 Rk

ISO91

BB%84

wRC+82

wOBA77

Speed77

Chase%63

Career WAR0.0 WAR median (P10 0.0 / P90 11, comp-based) · star 3% · didn't stick 83%

CompsBryan Rincon (age 19) · Aron Estrada (age 19) · Juan Brito (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 97 proj PA

wRC+†80

AVG/OBP/SLG.210 / .299 / .325

PA97

HR2

K%28

BB%9

ISO116

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$27M ctrl surplus

Contract

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
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	+0.7	$2M	+$1M
2032	Pre-Arb	$0.9M	+0.9	$2M	+$2M
2033	Pre-Arb	$0.9M	+0.9	$2M	+$2M
2034	Arb-1	$4M	+1.0	$5M	+$3M
2035	Arb-2	$7M	+1.0	$4M	+$1M
2036	Arb-3	$9M	+0.9	$2M	+$0.0M (cut)
Totals		$13M		$18M	+$9M

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. 2027 = full-season projection (no games played yet). 2028+ 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	75	—	—	—	—	—	—
2026	18	ROK	FCL Nationals	—	186	138	34	2	5	7	39	45	6	11	5	246	432	486	917	239	303	24	21	403	78	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Nationals	—	213	166	28	6	1	3	29	53	16	33	6	169	346	271	617	102	206	25	14	279	75	—	—	—	—	—	—
2026	18	ROK MLE	FCL Nationals	—	186	153	25	1	3	5	24	65	6	11	5	163	301	307	608	144	227	35	13	283	78	—	—	—	—	—	—
2025	17	ROK MLE	DSL Nationals	—	213	166	28	6	1	3	29	53	16	33	6	169	346	271	617	102	223	25	14	279	75	—	—	—	—	—	—
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	75	—	—	—	—	—	—
2026	18	ROK MLE	FCL Nationals	—	186	153	25	1	3	5	24	65	6	11	5	163	301	307	608	144	233	35	13	283	78	—	—	—	—	—	—
2026	18	ROK RAW	FCL Nationals	—	186	138	34	2	5	7	39	45	6	11	5	246	432	486	917	239	303	24	21	403	78	—	—	—	—	—	—
2025	17	ROK MLE	DSL Nationals	—	213	166	28	6	1	3	29	53	16	33	6	169	346	271	617	102	206	25	14	279	75	—	—	—	—	—	—
2026	18	ROK MLE	FCL Nationals	—	186	154	25	1	3	5	24	65	6	11	5	162	301	305	606	143	227	35	13	283	78	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	17	ROK MLE	DSL Nationals	—	213	166	28	6	1	3	29	53	16	33	6	169	346	271	617	102	206	25	14	279	75	—	—	—	—	—	—
2026	18	ROK MLE	FCL Nationals	—	186	154	25	1	3	5	24	65	6	11	5	162	301	305	606	143	227	35	13	283	78	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	19	MLB MLE	WSH	0%	296	261	55	9	3	5	28	83	5	7	1	212	302	328	630	116	287	28	9	287	80	-7	+1	-1	+3	+6	0.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	20	MLB MLE	WSH	34%	148	130	28	5	1	3	14	41	3	3	1	216	307	339	646	123	289	28	9	293	85	-3	+0	-0	+2	+3	0.2
2029	21	MLB MLE	WSH	48%	252	221	48	8	2	5	24	69	5	6	1	220	310	348	658	128	290	27	10	298	88	-4	+1	-1	+3	+5	0.5
2030	22	MLB MLE	WSH	54%	362	318	71	12	3	8	34	97	7	8	2	223	312	355	667	132	291	27	9	302	90	-4	+1	+0	+4	+8	0.9
2031	23	MLB MLE	WSH	57%	434	382	86	14	4	10	41	115	8	10	2	225	314	361	674	135	292	26	9	304	92	-4	+1	+1	+5	+9	1.2
2032	24	MLB MLE	WSH	57%	479	422	95	16	4	11	45	125	9	11	2	227	315	365	680	138	292	26	9	307	94	-4	+1	+2	+5	+10	1.6
2033	25	MLB MLE	WSH	57%	505	443	101	17	4	12	48	132	9	11	3	227	315	365	681	138	292	26	10	307	94	-4	+1	+2	+5	+11	1.6
2034	26	MLB MLE	WSH	60%	518	455	102	17	4	12	49	136	9	11	3	227	315	365	680	138	292	26	9	307	94	-4	+1	+2	+6	+11	1.6
2035	27	MLB MLE	WSH	62%	522	458	104	18	4	12	50	137	9	11	3	226	314	363	677	137	292	26	10	305	93	-5	+1	+2	+6	+11	1.6
2036	28	MLB MLE	WSH	63%	518	455	102	17	4	12	49	137	9	10	3	224	312	358	670	134	291	26	9	303	91	-6	+1	+2	+6	+11	1.4
2037	29	MLB MLE	WSH	64%	507	445	99	17	4	11	48	136	9	9	3	222	310	352	661	130	290	27	9	299	89	-7	+1	+1	+5	+11	1.1
2038	30	MLB MLE	WSH	65%	495	438	95	16	4	10	46	134	8	8	3	219	306	344	651	125	288	27	9	295	86	-8	+0	+0	+5	+11	0.8
2039	31	MLB MLE	WSH	65%	480	425	92	15	4	10	44	132	8	7	3	215	302	335	637	120	285	28	9	289	82	-10	+0	-1	+5	+10	0.5
2040	32	MLB MLE	WSH	65%	459	407	85	14	3	8	42	128	7	6	4	210	296	323	619	113	282	28	9	282	77	-13	-0	-2	+5	+10	0.0
2028	20	MLB CTX	WSH	34%	51	45	10	2	0	1	5	14	1	1	0	215	305	335	641	120	287	27	10	292	85	-1	+0	-0	+1	+1	0.1
2029	21	MLB CTX	WSH	48%	122	107	24	4	1	3	12	33	2	3	1	219	309	344	653	126	288	27	10	296	88	-2	+0	-0	+1	+3	0.2
2030	22	MLB CTX	WSH	54%	196	171	37	6	1	4	19	53	4	4	1	222	311	351	662	130	289	27	10	300	90	-2	+0	+0	+2	+4	0.5
2031	23	MLB CTX	WSH	57%	246	216	49	8	2	6	23	65	5	6	1	224	313	357	670	133	290	26	9	303	92	-2	+1	+1	+3	+5	0.7
2032	24	MLB CTX	WSH	57%	271	238	53	9	2	6	26	71	5	6	1	226	314	361	675	135	291	26	10	305	94	-2	+1	+1	+3	+6	0.9
2033	25	MLB CTX	WSH	57%	285	251	57	10	2	7	27	75	5	6	1	226	314	362	676	136	291	26	9	305	94	-2	+1	+1	+3	+6	0.9
2034	26	MLB CTX	WSH	60%	313	274	62	11	2	7	30	82	6	7	2	226	314	361	676	135	291	26	10	305	94	-2	+1	+1	+3	+7	1.0
2035	27	MLB CTX	WSH	62%	324	284	64	11	2	8	31	85	6	7	2	225	313	359	672	134	290	26	10	304	93	-3	+1	+1	+3	+7	1.0
2036	28	MLB CTX	WSH	63%	327	287	64	11	2	7	31	87	6	6	2	223	311	354	666	131	290	27	9	301	91	-4	+0	+1	+4	+7	0.9
2037	29	MLB CTX	WSH	64%	323	284	63	11	2	7	30	87	6	6	2	221	309	349	657	128	288	27	9	298	89	-4	+0	+0	+3	+7	0.7
2038	30	MLB CTX	WSH	65%	322	284	63	11	2	7	30	87	5	5	2	218	305	341	647	123	287	27	9	293	86	-5	+0	+0	+3	+7	0.5
2039	31	MLB CTX	WSH	65%	312	275	59	10	2	6	29	86	5	4	2	214	301	332	633	118	284	28	9	288	82	-7	+0	-0	+3	+7	0.3
2040	32	MLB CTX	WSH	65%	298	264	55	9	2	5	27	83	5	4	3	209	295	320	615	111	281	28	9	281	77	-8	-0	-1	+3	+6	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3390	2980	660	113	22	74	320	908	61	65	20	221	310	349	658	127	291	27	9	298	88	-45	+5	+5	+36	+73	7.7
/ 162G	—	A+C		—	650	571	126	22	4	14	61	174	12	12	4	221	309	347	655	126	290	27	9	298	88	-9	+1	+1	+7	+14	1.5
Career	—	MLE		—	6175	5404	1180	196	50	134	596	1664	124	157	44	218	310	348	658	129	287	27	10	298	88	-76	+9	+8	+62	+125	13.1
/ 162G	—	MLE		—	650	569	124	21	5	14	63	175	13	17	5	218	311	346	657	128	286	27	10	298	88	-9	+1	+1	+7	+14	1.5

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 ROKFCL Nationals · 186 PAwOBA .400 → .283 (−117)K% 24.2% → 34.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.19%	÷1.000	×1.440	—	—	34.84%
BB% (unintentional) /PA	20.97%	÷1.000	×0.620	—	×1.008	13.10%
HBP% /PA	3.23%	—	×0.720	—	×1.008	2.34%
Singles /BIP	21.51%	÷1.000	×0.820	×0.950	×1.008	16.88%
Doubles /BIP	2.15%	÷1.000	×0.720	×0.950	×1.008	1.48%
Triples /BIP	5.38%	÷1.000	×0.720	×0.950	×1.008	3.71%
Home runs /BIP	7.53%	÷1.000	×0.780	—	×1.008	5.92%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .400 → .283; ISO .239 → .179; BABIP .303 → .227. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 DSLDSL Nationals · 213 PAwOBA .435 → .279 (−156)K% 19.7% → 24.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.72%	÷0.975	×1.220	—	—	24.67%
BB% (unintentional) /PA	19.72%	÷1.026	×0.700	—	×1.008	13.56%
HBP% /PA	7.51%	—	×0.700	—	×1.008	5.30%
Singles /BIP	22.73%	÷1.025	×0.680	×0.987	×1.008	14.99%
Doubles /BIP	8.18%	÷0.999	×0.600	×0.987	×1.008	4.89%
Triples /BIP	0.91%	÷0.999	×0.600	×0.987	×1.008	0.54%
Home runs /BIP	7.27%	÷1.300	×0.470	—	×1.008	2.65%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 160, 1B 105, 2B 100, 3B 100, K 95, BB 105 — applied at half strength. Age: age 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.987.

Result: wOBA .435 → .279; ISO .230 → .110; BABIP .337 → .206. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Danny 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
#2Dick Schofield'83-'96 * career totals — 12 seasons, 4,928 PA	7.4	4,928	56	120	227*	307*	330*	+52	+19	9.4	10.0
/162	664	8	16	+7.1	+2.5	1.3	pk7: 11
#3Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	pk7: 10
#4Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	5.7	3,764	80	34	237	301	368	+13	+19	8.2	8.4
/162	664	14	6	+2.4	+3.4	1.4	pk7: 9
#5Kevin Elster'86-'00 * career totals — 9 seasons, 3,225 PA	4.9	3,225	88	14	223*	294*	388*	+34	+9	7.9	8.1
/162	664	18	3	+7.0	+1.9	1.6	pk7: 8
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	5.3	3,488	77	68	223	307	354	+37	+18	9.2	7.9
/162	664	15	13	+7.1	+3.4	1.8	pk7: 7
#6Jose Uribe'84-'93 * career totals — 9 seasons, 3,369 PA	5.1	3,369	19	74	240*	300*	338*	+36	+27	7.8	7.7
/162	664	4	15	+7.1	+5.3	1.5	pk7: 8

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)	19	—	—	—	—	210/299/325	115	287	2	2	28%	9%	80	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Bryan Rincon 2023 · A	19	42→47	45	53→55	45	210/280/332	122	276	12	11	28%	8%	74	-0.6	194/285/295	101	272	9	22	29%	10%	68	-1.0	192/290/337	145	263	17	31	32%	11%	77	-0.2
✕Aron Estrada 2024 · A	19	47→54	41→50	52→55	54	220/310/327	107	272	6	9	20%	10%	84	+0.2	247/301/365	118	304	11	21	22%	6%	88	+0.5	258/306/387	130	312	14	21	21%	5%	93	+0.7
✕Juan Brito 2022 · A	20	44→50	41→50	47→45	46	215/282/311	96	276	9	12	25%	8%	70	-0.9	234/317/368	134	286	12	9	21%	10%	96	+1.0	231/317/370	139	276	13	9	20%	10%	94	+0.8
✕Pedro Ramírez 2024 · A	20	48→57	42→45	51→55	48	234/298/345	111	291	9	14	22%	7%	82	+0.0	255/308/360	105	318	8	17	21%	6%	90	+0.6	265/318/375	110	323	9	22	20%	6%	95	+0.8
✕Juan Matheus 2023 · A	19	40→46	40→45	50→55	58	188/306/284	96	264	6	16	28%	14%	74	-0.5	205/300/295	90	282	5	20	26%	11%	74	-0.6	219/288/322	102	278	9	23	23%	8%	72	-0.5
✕Jett Williams 2023 · A	19	45→48	41→50	56→55	44	216/287/317	101	287	8	14	26%	7%	73	-0.6	213/317/337	124	303	10	23	29%	12%	90	+0.6	212/316/350	138	296	11	26	29%	12%	89	+0.4
✕Diego Velasquez 2024 · A	20	49→59	40	50	46	234/299/328	94	301	7	12	24%	7%	80	-0.2	253/321/334	81	323	4	15	21%	8%	88	+0.5	262/334/335	73	332	3	18	20%	8%	91	+0.6
✕Jonathan Galvez 2010 · A	19	43→51	42→50	50→55	51	209/299/315	106	278	8	12	26%	10%	77	-0.3	225/289/347	122	328	11	16	32%	7%	80	-0.1	244/294/364	120	343	10	23	30%	5%	83	+0.1
✕Harry Ford 2022 · A	19	45→53	47→45	52→55	43	223/289/361	138	311	13	9	31%	8%	84	+0.1	221/332/349	128	309	12	16	29%	12%	98	+1.2	226/338/346	120	294	12	19	24%	12%	96	+0.9
✕Max Clark 2024 · A	19	44→53	42→45	51→55	48	207/292/314	106	308	9	11	33%	10%	74	-0.5	238/314/357	119	306	11	17	24%	9%	92	+0.7	245/323/369	124	304	11	19	22%	10%	96	+0.9
✕Termarr Johnson 2023 · A	19	46→53	41→45	52→55	47	212/293/316	104	323	7	14	34%	10%	75	-0.5	217/315/345	128	302	15	12	30%	12%	91	+0.6	218/312/337	119	292	14	14	28%	11%	85	+0.2
●Adael Amador 2022 · A	19	46→56	41→50	45→55	48	223/287/324	101	278	9	11	23%	8%	74	-0.5	249/327/380	131	292	14	17	19%	9%	102	+1.5	244/325/378	134	283	16	23	19%	10%	99	+0.9
✕Jesus Rodriguez 2021 · A	19	45→55	40→45	49→50	48	215/278/314	99	274	7	9	23%	8%	68	-1.0	227/295/327	100	280	6	12	20%	8%	78	-0.3	265/326/372	107	319	9	16	19%	7%	96	+0.8
✕Edwin Arroyo 2023 · A	19	48→58	47→45	55→50	40	230/290/370	140	327	13	14	32%	6%	86	+0.3	233/286/359	126	312	10	16	27%	6%	82	-0.0	244/294/361	117	313	9	15	24%	5%	83	+0.1
✕Leo Bernal 2024 · A	20	45→50	42→45	47→50	49	220/293/323	103	283	9	5	25%	9%	76	-0.4	231/296/349	118	296	13	8	25%	8%	83	+0.1	235/299/362	127	292	15	9	24%	8%	85	+0.2
✕Thayron Liranzo 2022 · A	19	43	37→50	49→30	47	202/280/280	77	287	4	8	29%	9%	62	-1.4	208/291/366	158	303	18	3	35%	10%	86	+0.3	203/298/375	172	290	20	1	35%	11%	87	+0.2
✕Shawn Zarraga 2009 · A	20	48	40	51→45	49	227/308/323	96	307	7	7	26%	9%	82	+0.0	224/297/299	75	308	5	6	26%	8%	72	-0.7	277/345/359	82	319	4	2	13%	7%	103	+0.5
✕Jefferson Rojas 2024 · A	19	45→48	41→50	52→50	43	221/283/322	101	279	9	15	24%	6%	72	-0.7	222/283/337	115	269	12	16	21%	7%	76	-0.4	225/287/358	133	263	15	18	21%	7%	81	-0.1
✕Michael Arroyo 2024 · A	19	44→51	40→50	46→50	49	208/316/308	101	279	6	7	25%	9%	84	+0.1	228/322/372	144	297	15	11	27%	8%	99	+1.3	232/324/382	150	294	16	12	25%	8%	100	+1.3
✕Jonathan Ornelas 2019 · A	19	46→56	40→45	53→50	44	219/282/318	99	308	7	14	30%	8%	70	-0.8	209/265/301	92	294	7	10	29%	6%	60	-1.6	251/312/338	87	342	8	12	27%	7%	83	+0.1

Marconi German

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps