Marco Dinges — OGILVIE

Marco DingesC Wisconsin Timber Rattlers

Age 22 R/R 5'11" / 190 lbs A+ BB +10%HR +7% Svc 0.0 · Ctrl thru 2035 peak 3.1 · 2030

wRC+†102

AVG/OBP/SLG.225 / .306 / .370

PA313

HR9

K%27

BB%9

MLB%0%

Scouting · now → future

HIT

31↗43

PWR

41↗55

SPD

47↘43

FLD

30↗41

EYE

59↘58

trajectory · 10 yrs

3.1peak

2030

Contract

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2030
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Arb-2	$0.9M	+3.1	$28M	+$27M
2031	Arb-3	$0.9M	+3.1	$29M	+$28M
2032	Ext / FA-deal	$0.9M	+3.1	$30M	+$29M
2033	Ext / FA-deal	$6M	+2.8	$28M	+$22M
2034	Ext / FA-deal	$8M	+2.6	$26M	+$18M
2035	Ext / FA-deal	$11M	+2.2	$23M	+$12M
Totals		$28M		$163M	+$136M

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
2024	20	A	Carolina Mudcats	55	50	10	3	0	0	4	18	1	0	0	.200	.273	.260	.533	.060	.312	33	7	.247	47	-3	+0	+0	+1	+2	-0.1
2025	21	A+	2 teams	317	272	68	10	2	9	34	82	6	5	1	.250	.346	.401	.747	.151	.317	26	11	.325	107	+2	+1	+0	+6	+9	1.8
▸ 2026 Season (actual · ROS · total)
2026	22	A+	Wisconsin Timber Rattlers	55	45	10	2	0	3	9	16	1	0	0	.222	.364	.467	.830	.244	.269	29	16	.346	123	+1	+0	+0	+1	+2	0.4
ROS	22	MLB	MIL	258	227	51	9	1	8	26	69	3	3	1	.225	.312	.379	.691	.154	.287	27	10	.312	97	-1	+0	+0	+5	+7	1.2
TOT	22	MLB	MIL	313	272	61	11	1	11	35	85	4	3	1	.224	.322	.393	.715	.169	.282	27	11	.318	102	+1	+0	+0	+6	+9	1.6
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	23	MLB 11%	MIL	351	307	72	13	2	11	37	85	4	5	1	.235	.325	.397	.722	.163	.282	24	11	.320	103	+1	+1	+0	+6	+10	1.9
2028	24	MLB 26%	MIL	420	368	86	15	2	14	44	100	5	6	2	.234	.324	.399	.723	.166	.284	24	10	.327	108	+4	+0	+0	+8	+12	2.4
2029	25	MLB 44%	MIL	459	401	96	17	2	16	49	108	6	7	2	.239	.331	.411	.743	.172	.285	24	11	.331	111	+6	+1	+0	+8	+13	2.8
2030	26	MLB 59%	MIL	481	420	101	18	2	17	52	113	6	7	2	.240	.333	.414	.747	.174	.286	23	11	.333	113	+7	+1	+0	+9	+14	3.1
2031	27	MLB 76%	MIL	489	427	102	18	2	17	53	115	6	7	2	.239	.331	.410	.741	.171	.286	24	11	.333	113	+7	+1	+0	+9	+14	3.1
2032	28	MLB 84%	MIL	490	427	101	18	2	17	54	116	6	7	1	.237	.331	.407	.738	.171	.286	24	11	.332	112	+7	+1	-1	+9	+14	3.1
2033	29	MLB 90%	MIL	484	422	100	18	2	17	53	116	6	6	1	.237	.331	.410	.741	.173	.285	24	11	.330	111	+6	+1	-1	+9	+14	2.8
2034	30	MLB	MIL	476	414	97	17	2	16	53	116	6	6	1	.234	.330	.401	.731	.167	.283	24	11	.327	108	+5	+1	-2	+8	+13	2.6
2035	31	MLB	MIL	449	391	91	16	2	15	50	111	5	5	0	.233	.327	.399	.726	.166	.282	25	11	.323	106	+3	+1	-3	+8	+13	2.2
2036	32	MLB	MIL	419	365	84	15	2	13	46	106	5	4	0	.230	.325	.389	.714	.159	.280	25	11	.319	102	+1	+1	-3	+7	+12	1.8
2037	33	MLB	MIL	379	330	74	13	1	12	42	99	4	4	0	.224	.319	.379	.698	.155	.279	26	11	.313	98	-1	+1	-4	+7	+11	1.3
2038	34	MLB	MIL	326	283	63	11	1	10	36	88	4	3	0	.223	.319	.375	.693	.152	.277	27	11	.306	93	-3	+1	-5	+6	+9	0.8
2039	35	MLB	MIL	270	236	49	8	1	7	29	75	3	3	0	.208	.302	.339	.641	.131	.274	28	11	.298	87	-4	+1	-6	+5	+8	0.3
2040	36	MLB	MIL	213	186	38	6	1	5	23	62	2	3	0	.204	.299	.328	.627	.124	.271	29	11	.289	80	-5	+1	-6	+4	+6	-0.1
2041	37	MLB	MIL	156	137	27	4	1	4	16	47	2	2	0	.197	.290	.328	.619	.131	.267	30	10	.279	72	-5	+0	-7	+3	+4	-0.4
▸ Career Totals (MLE all levels + projections)
Career	—			6492	5663	1310	229	28	208	701	1626	80	83	14	.231	.324	.392	.716	.161	.285	25	11	.321	104	+27	+11	-37	+116	+184	30.7
/ 162G	—			650	567	132	23	3	21	70	163	8	8	1	.233	.326	.395	.721	.162	.288	25	11	.321	104	+3	+1	-4	+12	+18	3.1

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
2024	20	A	Carolina Mudcats	55	48	13	4	0	0	6	13	1	0	0	.271	.364	.354	.718	.083	.371	24	11	.331	111	+1	+0	—	—	+2	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	145	+10	-0	—	—	+6	1.6
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	219	+15	+1	—	—	+3	1.9

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	31→43	41→55	47→43	58	.225/.306/.370	.145	.289	9	5	27%	9%	92	+0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Derek Norris 2011 · A	22	41→51	51→55	44→50	51	.210/.308/.369	.158	.282	19	6	31%	11%	92	+1.2	.208/.299/.376	.168	.272	20	10	30%	11%	91	+1.1	.254/.332/.403	.149	.311	15	5	22%	10%	106	+1.6
●Logan O'Hoppe 2022 · AAA	22	43→48	49→60	46→45	43	.224/.274/.364	.140	.267	17	7	24%	6%	76	+0.1	.237/.307/.418	.181	.277	25	6	24%	8%	105	+2.1	.241/.314/.433	.192	.284	28	4	25%	8%	109	+1.6
●Sean Rodríguez 2007 · AA	22	46→49	52→60	48→50	47	.234/.306/.402	.168	.294	19	12	27%	8%	99	+1.7	.228/.299/.402	.174	.291	21	11	28%	7%	97	+1.5	.238/.311/.439	.201	.293	25	12	27%	7%	107	+1.7
●Iván Herrera 2022 · AA	22	41→51	48→50	41→50	47	.213/.289/.342	.129	.274	17	4	28%	8%	77	+0.1	.236/.321/.368	.132	.306	14	9	26%	10%	97	+1.5	.278/.371/.439	.161	.339	19	13	22%	11%	132	+2.8
●Zach Neto 2023 · AA	22	49→48	47→60	49→55	41	.240/.300/.376	.136	.307	14	12	26%	6%	90	+1.0	.246/.317/.423	.177	.300	21	19	25%	6%	111	+2.5	.248/.320/.446	.198	.298	25	24	25%	6%	113	+2.3
●Max Ramirez 2007 · A	22	49→52	46→55	45→40	49	.242/.313/.371	.129	.308	14	3	25%	9%	94	+1.3	.245/.323/.398	.153	.326	18	3	28%	9%	106	+2.2	.239/.321/.395	.156	.322	19	2	30%	9%	103	+1.3
●Gary Sánchez 2015 · AA	22	46→51	47→65	45	42	.233/.283/.367	.133	.292	16	5	26%	6%	80	+0.4	.247/.300/.420	.173	.293	22	6	23%	6%	102	+1.9	.232/.315/.480	.248	.254	37	1	26%	9%	119	+2.3
●Jonathan India 2019 · A	22	43→51	45→50	51→50	45	.208/.290/.333	.125	.296	12	10	32%	8%	76	+0.0	.217/.304/.340	.123	.297	12	10	29%	9%	83	+0.6	.243/.342/.393	.150	.294	17	11	22%	10%	107	+1.9
●Will Smith 2018 · A	23	40→50	45→60	48→45	45	.200/.283/.322	.122	.270	13	8	30%	8%	70	-0.3	.208/.287/.393	.185	.263	24	6	30%	9%	90	+1.0	.249/.351/.438	.188	.273	23	3	18%	11%	123	+3.0
✕Max Stassi 2013 · A	22	41→43	47→55	43→40	40	.210/.270/.343	.133	.290	15	4	32%	6%	69	-0.4	.216/.264/.358	.142	.286	17	3	30%	5%	70	-0.3	.208/.295/.359	.151	.271	20	0	30%	10%	81	+0.2
✕Kevin Cornelius 2016 · A	23	45	47→65	49→40	46	.224/.288/.357	.132	.297	14	5	29%	8%	80	+0.4	.222/.282/.389	.167	.329	20	3	36%	7%	86	+0.8	.202/.259/.380	.178	.301	23	0	39%	7%	71	-0.1
●Mike Zunino 2013 · AA	22	48→46	52→65	50→30	45	.249/.298/.413	.164	.288	20	9	22%	6%	98	+1.6	.206/.264/.369	.163	.270	21	3	31%	5%	74	-0.1	.225/.301/.452	.227	.291	32	0	33%	8%	108	+1.8
●Josmil Pinto 2011 · A	22	42→52	48→55	42→40	43	.217/.264/.358	.141	.259	15	3	23%	5%	70	-0.3	.231/.281/.371	.140	.283	15	2	23%	6%	80	+0.4	.254/.321/.415	.161	.304	18	0	22%	8%	105	+1.7
✕Eddys Leonard 2023 · A	22	45→46	49→50	45	42	.226/.293/.375	.150	.293	16	5	28%	6%	88	+0.9	.220/.279/.369	.149	.281	17	7	27%	6%	79	+0.3	.212/.267/.368	.155	.262	19	9	27%	5%	72	-0.2
●Tyler Flowers 2008 · A	22	46→54	47→55	42→40	45	.231/.287/.371	.140	.284	14	4	24%	7%	83	+0.6	.238/.318/.398	.160	.320	16	5	29%	10%	104	+2.0	.261/.361/.419	.158	.334	18	0	25%	10%	124	+1.9
✕Travis Denker 2008 · A	22	46→52	48→50	43→45	51	.231/.301/.370	.139	.267	16	5	20%	9%	89	+1.0	.224/.290/.343	.119	.278	10	5	22%	8%	76	+0.1	.233/.308/.392	.159	.261	18	0	18%	8%	97	+0.8
●Vinnie Catricala 2011 · A	22	48→58	47→55	46→45	43	.241/.299/.382	.141	.298	15	6	24%	6%	92	+1.2	.241/.294/.385	.144	.294	15	8	23%	6%	90	+1.0	.225/.277/.355	.130	.276	14	7	23%	5%	72	-0.2
✕Miguel Amaya 2021 · A	22	42	46→50	48→40	46	.212/.283/.341	.129	.261	14	4	24%	7%	75	-0.0	.218/.306/.350	.132	.298	14	6	29%	9%	87	+0.8	.233/.304/.378	.146	.278	16	1	22%	7%	91	+0.5
●Ryan Jeffers 2020 · AA	23	46→54	44→60	44→40	44	.228/.293/.341	.113	.298	12	2	27%	7%	79	+0.3	.219/.288/.371	.152	.290	19	3	30%	8%	84	+0.6	.248/.335/.427	.180	.291	22	3	22%	9%	114	+1.9
✕Jeferson Morales 2022 · A	23	41→46	47→45	48→50	48	.209/.291/.351	.142	.259	14	9	25%	8%	81	+0.4	.205/.282/.337	.132	.267	13	9	27%	7%	73	-0.1	.223/.298/.355	.132	.277	12	8	23%	7%	81	+0.2

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)