Marco Dinges — OGILVIE

Marco DingesC Wisconsin Timber Rattlers

Age 22 R/R 5'11" / 190 lbs A+ HR +10%K +6% Svc 0.0 · Ctrl thru 2034

2026 ROS PROJECTION324 act + 9 ros · stats below = ROS only

showingROS

wRC+†92

AVG/OBP/SLG.125 / .222 / .125

PA9

HR0

K%22

BB%11

BABIP270

ISO150

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$78M ctrl surplus

Tools · ContractCON 43 / POW 55

Toolsscout grade

CONTACT43

scouting grade only

POWER55

scouting grade only

EYE57

scouting grade only

SPEED43

scouting grade only

DEFENSE41

scouting grade only

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

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2029
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Pre-Arb	$0.8M	+1.8	$11M	+$11M
2030	Pre-Arb	$0.9M	+2.0	$12M	+$11M
2031	Pre-Arb	$0.9M	+2.0	$11M	+$10M
2032	Arb-1	$5M	+1.9	$10M	+$7M
2033	Arb-2	$8M	+1.7	$8M	+$4M
2034	Arb-3	$11M	+1.5	$7M	+$2M
Totals		$27M		$58M	+$45M

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)
2024	20	A	Carolina Mudcats	—	55	48	13	4	0	0	6	13	1	0	0	271	364	354	718	83	371	24	11	331	110	+1	+0	—	—	+1	0.2
2025	21	A+	Wisconsin Timber Rattlers	—	205	172	47	4	1	10	28	47	1	1	1	273	378	483	861	209	311	23	14	375	140	+10	-0	—	—	+4	1.4
2025	21	A	Carolina Mudcats	—	112	85	30	8	1	3	21	14	5	4	0	353	505	576	1.081	224	391	12	19	471	205	+14	+1	—	—	+2	1.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	20	A MLE	Carolina Mudcats	—	55	50	10	3	0	0	4	18	1	0	0	200	273	260	533	60	325	33	7	248	54	-3	+0	—	—	+1	-0.2
2025	21	A+ MLE	Wisconsin Timber Rattlers	—	205	180	36	3	1	6	20	67	1	1	1	200	284	328	611	128	262	33	10	274	72	-7	-0	—	—	+4	-0.3
2025	21	A MLE	Carolina Mudcats	—	112	93	29	7	1	2	13	19	5	4	0	312	423	473	897	161	370	17	12	398	155	+7	+1	—	—	+2	1.1
2024	20	A MLE	Carolina Mudcats	—	55	50	10	3	0	0	4	18	1	0	0	200	273	260	533	60	312	33	7	248	54	—	—	—	—	—	—
2024	20	A RAW	Carolina Mudcats	—	55	48	13	4	0	0	6	13	1	0	0	271	364	354	718	83	371	24	11	331	54	—	—	—	—	—	—
2025	21	A+ MLE	2 teams	—	317	272	66	10	2	9	34	87	6	5	1	243	340	393	733	151	315	27	11	318	101	—	—	—	—	—	—
2025	21	A+ RAW	2 teams	—	317	257	77	12	2	13	49	61	6	5	1	300	423	514	937	214	340	19	15	409	101	—	—	—	—	—	—
2024	20	A MLE	Carolina Mudcats	—	55	50	10	3	0	0	4	18	1	0	0	200	273	260	533	60	325	33	7	248	54	—	—	—	—	—	—
2025	21	A+ MLE	2 teams	—	317	274	66	10	2	9	34	87	6	5	1	241	340	391	730	150	300	27	11	318	101	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	20	A MLE	Carolina Mudcats	—	55	50	10	3	0	0	4	18	1	0	0	200	273	260	533	60	325	33	7	248	54	—	—	—	—	—	—
2025	21	A+ MLE	2 teams	—	317	274	66	10	2	9	34	87	6	5	1	241	340	391	730	150	300	27	11	318	101	—	—	—	—	—	—
YTD	22	A+ MLE	MIL	—	324	286	57	10	0	10	33	92	4	4	0	199	291	339	630	140	254	28	10	277	74	-10	+1	+0	+6	+7	0.4
▸ 2026 season
YTD	22	A+ RAW	MIL	—	266	220	59	10	0	11	41	52	4	2	0	268	392	464	856	195	304	20	15	382	74	—	—	—	—	—	—
YTD	22	AA RAW	MIL	—	58	52	7	2	0	1	6	18	0	2	0	135	224	231	455	96	182	31	10	215	74	—	—	—	—	—	—
ROS	22	A+ MLE	MIL	0%	9	8	1	0	0	0	1	2	0	0	0	125	222	125	347		271	22	11	304	92	-0	+0	+0	+0	+0	0.0
TOT	22	A+ MLE	MIL	—	333	294	58	10	0	10	34	94	4	4	0	197	289	333	622	136	251	28	10	278	74	-10	+1	+0	+6	+7	0.4
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	MIL	52%	402	354	80	14	1	13	41	100	4	5	1	226	313	381	695	155	275	25	10	312	98	-1	+1	+0	+7	+9	1.6
2028	24	MLB MLE	MIL	69%	455	401	93	17	1	16	46	111	5	6	1	232	319	399	718	167	277	24	10	319	102	+1	+1	+0	+8	+10	2.0
2029	25	MLB MLE	MIL	77%	481	424	100	18	2	17	49	116	5	7	1	236	322	408	730	172	278	24	10	322	104	+2	+1	+0	+9	+10	2.3
2030	26	MLB MLE	MIL	81%	496	437	103	18	2	18	50	119	6	7	1	236	323	410	732	174	279	24	10	324	105	+3	+1	+0	+9	+11	2.4
2031	27	MLB MLE	MIL	81%	499	439	103	18	2	18	51	121	6	7	1	235	323	408	730	173	278	24	10	324	106	+3	+1	+0	+9	+11	2.5
2032	28	MLB MLE	MIL	81%	496	436	101	18	1	18	51	120	6	7	1	232	320	401	722	170	278	24	10	323	105	+3	+1	-1	+9	+11	2.3
2033	29	MLB MLE	MIL	79%	488	429	99	18	1	17	51	120	5	7	1	231	320	396	716	166	277	25	10	321	104	+2	+1	-1	+9	+11	2.1
2034	30	MLB MLE	MIL	78%	478	420	96	17	1	17	50	118	5	6	1	229	318	395	713	167	276	25	10	318	102	+1	+1	-2	+9	+10	1.9
2035	31	MLB MLE	MIL	77%	451	396	89	16	1	15	47	113	5	6	1	225	315	384	699	159	273	25	10	314	99	-1	+1	-3	+8	+10	1.6
2036	32	MLB MLE	MIL	77%	419	369	82	14	1	14	43	107	4	5	1	222	310	379	689	157	270	26	10	309	95	-2	+1	-3	+7	+9	1.2
2037	33	MLB MLE	MIL	77%	379	333	72	12	1	12	39	98	4	4	1	216	306	366	672	150	265	26	10	302	90	-4	+0	-4	+7	+8	0.7
2038	34	MLB MLE	MIL	72%	326	287	61	10	1	10	33	87	3	3	1	213	300	359	659	146	259	27	10	293	84	-6	+0	-5	+6	+7	0.2
2027	23	MLB CTX	MIL	52%	208	183	42	7	1	7	21	52	2	3	0	230	316	393	709	164	274	25	10	306	98	-1	+1	+0	+4	+5	0.8
2028	24	MLB CTX	MIL	69%	314	275	63	11	1	11	32	77	4	4	1	229	318	396	715	167	276	25	10	313	102	+1	+0	+0	+6	+7	1.4
2029	25	MLB CTX	MIL	77%	371	326	76	13	1	14	38	90	4	5	1	233	321	408	729	175	277	24	10	316	104	+2	+1	+0	+7	+8	1.8
2030	26	MLB CTX	MIL	81%	402	353	83	15	1	15	41	97	5	6	1	235	323	411	734	176	277	24	10	318	105	+3	+1	+0	+7	+9	2.0
2031	27	MLB CTX	MIL	81%	404	355	83	15	1	15	41	98	5	6	1	234	322	408	730	175	277	24	10	318	106	+3	+1	+0	+7	+9	2.0
2032	28	MLB CTX	MIL	81%	401	352	82	14	1	15	41	97	5	6	1	233	322	406	728	173	276	24	10	317	105	+2	+1	-0	+7	+9	1.9
2033	29	MLB CTX	MIL	79%	386	339	78	14	1	14	40	95	4	5	1	230	319	401	720	171	276	25	10	315	104	+2	+1	-1	+7	+8	1.7
2034	30	MLB CTX	MIL	78%	372	326	75	13	1	14	39	92	4	5	1	230	320	405	725	175	274	25	10	312	102	+1	+1	-2	+7	+8	1.5
2035	31	MLB CTX	MIL	77%	348	305	69	12	1	12	36	87	4	4	1	226	316	390	706	164	272	25	10	308	99	-0	+0	-2	+6	+8	1.2
2036	32	MLB CTX	MIL	77%	322	283	63	11	1	11	33	82	3	4	1	223	310	385	696	163	268	25	10	303	95	-2	+0	-3	+6	+7	0.9
2037	33	MLB CTX	MIL	77%	291	256	56	9	1	10	30	76	3	3	1	219	308	379	687	160	264	26	10	296	90	-3	+0	-3	+5	+6	0.5
2038	34	MLB CTX	MIL	72%	235	207	43	7	0	7	24	62	2	2	0	208	296	343	639	135	258	26	10	287	84	-4	+0	-3	+4	+5	0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4054	3560	813	141	11	145	416	1005	45	53	10	228	317	396	713	168	275	25	10	311	100	+2	+7	-14	+72	+88	15.8
/ 162G	—	A+C		—	650	571	131	23	2	23	67	161	7	8	2	229	318	398	715	168	277	25	10	311	100	+0	+1	-2	+12	+14	2.5
Career	—	MLE		—	5751	5055	1156	203	17	194	590	1437	65	75	13	229	317	391	708	162	279	25	10	316	100	+1	+9	-19	+96	+117	20.8
/ 162G	—	MLE		—	650	571	131	23	2	22	67	162	7	8	1	229	317	392	710	163	279	25	10	316	100	+0	+1	-2	+12	+14	2.5

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Chris Iannettalast yr '19 career totals — 14 seasons, 4,253 PA	6.4	4,253	141	11	230	345	406	+76	-30	23.7	21.6
/162	664	22	2	+11.9	-4.6	3.7	pk7: 19
#2Didi Gregoriuslast yr '22 career totals — 10 seasons, 4,238 PA	6.4	4,238	134	37	256	308	421	+45	-10	17.0	17.2
/162	664	21	6	+7.1	-1.5	2.7	pk7: 18
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	6.1	4,056	139	54	229	314	393	+72	-32	19.2	16.7
/162	664	23	9	+11.9	-5.2	3.1	pk7: 14
#3John 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
#4Jarrod 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
#5Welington Castillolast yr '19 career totals — 8 seasons, 2,667 PA	4.0	2,667	97	5	254	313	425	+48	-14	13.3	13.2
/162	664	24	1	+11.9	-3.4	3.3	pk7: 13
#6Khalil Greenelast yr '09 career totals — 7 seasons, 2,835 PA	4.3	2,835	90	25	245	302	422	+30	+14	13.0	13.0
/162	664	21	6	+7.1	+3.2	3.0	pk7: 13

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
Marco Dinges (OGILVIE)	22	30→43	40→55	50→43	57	217/306/361	144	271	9	4	26%	10%	92	+0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Derek Norris 2011 · A	22	41→51	50→55	44→50	52	209/313/362	153	287	18	6	32%	12%	94	+0.9	209/299/374	165	271	20	11	29%	10%	91	+0.7	258/336/412	153	316	16	5	22%	10%	109	+1.5
✕Logan O'Hoppe 2023 · MLB	23	44→48	52→55	45	50	232/308/392	160	264	21	7	21%	8%	98	+1.2	235/298/411	176	286	24	5	26%	7%	99	+1.3	229/284/404	175	286	26	2	29%	6%	91	+0.4
●Sean Rodríguez 2007 · AA	22	46→49	52→60	48→50	46	235/306/404	170	299	19	12	28%	8%	100	+1.3	229/300/399	170	291	20	10	28%	7%	97	+1.1	234/307/425	191	291	23	12	27%	7%	102	+1.1
●Miguel Vargas 2022 · AA	22	50→52	49→55	51→50	45	253/303/401	148	297	17	9	21%	6%	98	+1.2	227/306/381	154	270	16	12	22%	9%	95	+0.9	224/326/406	183	249	21	12	19%	12%	105	+1.6
●Mike Zunino 2013 · AA	22	49→48	50→65	49→30	46	249/297/405	156	285	18	9	20%	6%	97	+1.1	206/264/375	169	269	21	3	31%	5%	78	-0.3	228/303/462	235	292	33	0	33%	8%	111	+1.7
✕Michael McKenry 2008 · A	23	46→48	54→55	41→40	49	238/309/421	183	282	21	7	24%	9%	105	+1.7	223/291/376	153	278	17	4	25%	8%	88	+0.4	251/325/430	179	297	23	2	23%	9%	110	+0.8
✕Chase Meidroth 2023 · A	22	49→56	53→40	48→50	50	250/323/425	175	285	20	12	20%	8%	112	+2.2	247/339/344	97	305	9	12	20%	11%	99	+1.2	256/344/352	96	304	9	11	17%	10%	100	+1.3
●Zach Neto 2023 · AA	22	49→48	46→60	49→55	42	243/302/374	131	307	13	12	25%	5%	92	+0.7	246/317/424	178	299	21	19	25%	6%	109	+2.0	246/317/445	199	306	24	25	27%	7%	110	+2.1
✕Miguel Amaya 2021 · A	22	42→41	46→50	48→40	46	211/282/339	129	262	14	4	25%	7%	77	-0.3	219/310/346	127	298	13	6	29%	9%	89	+0.5	212/319/354	142	290	16	3	30%	10%	93	+0.3
●Andy Pages 2023 · AA	22	38→48	55	45→50	44	207/289/391	184	267	23	6	31%	8%	92	+0.7	240/307/413	173	302	20	9	27%	7%	103	+1.5	266/322/445	180	311	23	10	22%	6%	115	+2.3
✕Travis Denker 2008 · A	22	47→52	47→50	44→45	52	234/305/367	134	272	14	5	20%	9%	91	+0.7	224/289/340	116	280	10	5	22%	8%	78	-0.3	229/306/370	141	260	15	0	18%	8%	92	+0.4
✕Victor Castillo 2007 · A	22	47	47→50	42→40	57	235/333/368	134	274	14	5	19%	11%	103	+1.5	229/283/304	75	292	7	5	23%	6%	68	-1.0	240/288/298	58	301	6	3	21%	6%	66	-0.4
✕Tyler Ogle 2013 · A	22	47→43	49→50	45→30	44	236/297/383	148	295	17	5	26%	7%	92	+0.7	222/308/356	134	269	15	3	22%	10%	90	+0.6	212/302/353	141	254	17	2	23%	10%	84	+0.1
●Max Ramirez 2007 · A	22	50→52	45→50	45→40	51	245/322/370	126	317	13	3	26%	10%	98	+1.2	246/325/396	150	329	17	3	28%	9%	105	+1.7	240/322/391	151	324	18	2	29%	9%	102	+1.0
●Ryan Jeffers 2019 · A	22	52→56	43→60	44→40	47	250/320/360	111	317	10	3	24%	8%	95	+1.0	221/288/351	130	297	16	2	29%	7%	81	-0.1	250/339/433	183	282	21	2	19%	10%	116	+1.8
●Luis Urías 2020 · MLB	23	49→59	46→55	47→45	49	240/318/375	135	298	13	6	23%	8%	98	+1.2	239/324/394	155	290	17	6	23%	10%	105	+1.7	237/332/395	158	281	19	4	21%	10%	105	+1.1
✕Travis Jones 2008 · A	22	43→48	51→45	45→50	50	226/309/382	157	269	20	9	24%	9%	97	+1.1	213/287/337	124	280	13	14	27%	8%	78	-0.3	205/280/320	115	273	11	16	28%	8%	69	-0.7
✕Jeferson Morales 2022 · A	23	41→48	47→45	48→50	48	209/292/350	141	261	14	9	25%	8%	83	+0.1	204/281/333	129	269	13	9	28%	7%	75	-0.5	221/295/347	125	275	11	8	22%	7%	80	-0.1
✕Eddys Leonard 2023 · A	22	44→46	48→50	44→50	42	221/289/365	144	293	15	5	29%	6%	85	+0.2	216/274/354	138	278	15	8	27%	5%	76	-0.4	209/263/347	138	261	16	9	26%	5%	69	-0.7
✕Ryan Lavarnway 2010 · A	22	44→46	53→55	43→30	41	226/285/402	176	308	20	3	32%	7%	92	+0.7	231/296/389	158	293	19	2	27%	7%	93	+0.8	227/294/372	145	279	18	1	25%	7%	87	+0.4

Career Stats + Projections

Career Comps

Career Path Comps