Connor McGinnis — OGILVIE

Connor McGinnis2B Hudson Valley Renegades

Age 23 L/R 6'1" / 185 lbs A+ HR +8%BB +8% Svc 0.0 · Ctrl thru 2035 peak 0.7 · 2030

wRC+†39

AVG/OBP/SLG.209 / .275 / .307

PA64

HR1

K%29

BB%7

MLB%0%

trajectory · 10 yrs

0.7peak

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	+0.7	$3M	+$2M
2031	Arb-3	$0.9M	+0.7	$3M	+$2M
2032	Ext / FA-deal	$0.9M	+0.5	$2M	+$1M
2033	Ext / FA-deal	$0.6M	+0.3	$1M	+$0.9M
2034	Ext / FA-deal	$0.4M	+0.1	$0.5M	+$0.1M
2035	Ext / FA-deal	$0.6M	—	—	—
Totals		$4M		$10M	+$5M

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
2025	22	A+	Hudson Valley Renegades	64	59	9	1	1	0	5	23	0	0	0	.153	.219	.203	.422	.051	.250	36	8	.188	2	-7	+0	+0	+0	+2	-0.5
▸ 2026 Season (actual · ROS · total)
2026	23	A+	Hudson Valley Renegades	31	27	4	1	0	0	3	12	1	0	0	.148	.258	.185	.443	.037	.267	39	10	.208	17	-3	+0	+0	+0	+1	-0.2
ROS	23	MLB	NYY	33	30	5	1	0	0	3	10	0	1	0	.167	.242	.200	.442	.033	.289	30	9	.264	60	-1	+0	+0	+0	+1	-0.0
TOT	23	MLB	NYY	64	57	9	2	0	0	6	22	1	1	0	.158	.250	.193	.443	.035	.257	34	9	.237	39	-4	+0	+0	+0	+2	-0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	24	MLB 10%	NYY	136	122	27	5	1	3	11	36	2	2	1	.221	.296	.352	.649	.131	.283	26	8	.283	75	-4	+0	+0	+0	+4	0.0
2028	25	MLB 25%	NYY	244	218	48	9	1	5	21	63	3	4	1	.220	.298	.339	.637	.119	.285	26	9	.293	82	-5	+0	+0	+1	+7	0.3
2029	26	MLB 43%	NYY	321	286	65	12	2	8	28	82	4	5	1	.227	.305	.367	.672	.140	.287	26	9	.299	87	-5	+1	+0	+1	+9	0.6
2030	27	MLB 58%	NYY	362	323	74	14	2	9	32	93	4	6	1	.229	.306	.368	.675	.139	.287	26	9	.299	87	-5	+1	+0	+1	+10	0.7
2031	28	MLB 68%	NYY	387	346	78	15	2	9	34	100	4	6	1	.225	.302	.358	.660	.133	.287	26	9	.298	86	-6	+1	-1	+1	+11	0.7
2032	29	MLB 77%	NYY	396	354	79	15	2	9	35	104	4	5	1	.223	.300	.353	.653	.130	.286	26	9	.296	85	-7	+1	-1	+1	+11	0.5
2033	30	MLB 84%	NYY	399	357	79	15	2	9	35	106	4	4	1	.221	.298	.350	.648	.129	.284	27	9	.293	82	-8	+0	-2	+1	+11	0.3
2034	31	MLB 91%	NYY	391	349	76	14	2	9	35	105	4	2	0	.218	.296	.347	.643	.129	.283	27	9	.289	80	-9	+0	-3	+1	+11	0.1
2035	32	MLB	NYY	377	337	72	13	2	8	33	103	4	1	0	.214	.291	.335	.627	.122	.281	27	9	.285	76	-10	+0	-4	+1	+11	-0.2
2036	33	MLB	NYY	350	312	66	12	2	7	31	98	4	0	0	.212	.291	.330	.621	.119	.280	28	9	.279	72	-11	+0	-4	+1	+10	-0.4
2037	34	MLB	NYY	308	275	56	10	1	6	27	89	3	0	0	.204	.282	.313	.595	.109	.278	29	9	.273	67	-11	+0	-5	+1	+9	-0.7
▸ Career Totals (MLE all levels + projections)
Career	—			3768	3368	734	136	20	82	330	1012	40	36	7	.218	.295	.343	.639	.125	.284	27	9	.288	79	-90	+4	-20	+13	+107	1.5
/ 162G	—			650	581	126	23	3	14	57	175	7	6	1	.217	.295	.339	.634	.122	.284	27	9	.288	79	-16	+1	-3	+2	+18	0.3

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
2025	22	A+	Hudson Valley Renegades	64	56	11	1	1	0	8	17	0	0	0	.196	.297	.250	.547	.054	.282	27	12	.260	57	-3	+0	—	—	+2	-0.1

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
Connor McGinnis (OGILVIE)	23	—	—	—	—	.209/.275/.307	.099	.290	1	1	29%	7%	62	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Adrian Del Castillo 2023 · A	23	36→45	43→55	52→40	41	.184/.246/.294	.110	.257	10	7	32%	7%	46	-2.0	.210/.280/.351	.141	.289	15	4	31%	8%	76	+0.0	.218/.292/.382	.164	.293	19	1	31%	9%	86	+0.5
✕Chris Meyers 2022 · A	23	41→46	42→50	51→40	45	.201/.269/.304	.103	.264	9	11	26%	7%	59	-1.1	.222/.280/.362	.140	.293	16	7	29%	6%	79	+0.3	.226/.286/.378	.152	.294	19	3	29%	6%	82	+0.3
✕Kyle Kubitza 2013 · A	23	40→50	41→50	49→50	43	.194/.262/.301	.107	.286	7	11	33%	8%	54	-1.4	.214/.288/.342	.128	.327	9	10	34%	9%	76	+0.0	.219/.294/.350	.131	.334	9	10	34%	9%	79	+0.3
✕Raynel Delgado 2023 · AA	23	41→51	40→45	48→60	42	.199/.267/.289	.091	.281	8	15	30%	7%	54	-1.4	.226/.291/.327	.101	.311	9	22	28%	8%	72	-0.2	.240/.303/.338	.098	.325	8	32	27%	7%	77	+0.1
●Ryan Schimpf 2011 · A	23	39	43→60	52→45	39	.192/.257/.314	.121	.284	9	10	34%	6%	56	-1.3	.198/.273/.355	.157	.273	17	7	32%	8%	74	-0.1	.201/.284/.419	.218	.235	28	2	28%	9%	91	+0.9
✕Daniel Schneemann 2019 · A	22	39→49	40→50	50	43	.189/.254/.283	.094	.277	7	6	33%	8%	46	-2.0	.211/.272/.298	.087	.290	7	8	28%	7%	57	-1.2	.226/.305/.377	.151	.297	15	13	28%	10%	89	+0.7
✕Randy Florentino 2023 · A	23	36	41→50	47→45	40	.183/.244/.273	.090	.273	9	7	35%	7%	40	-2.4	.196/.244/.284	.088	.259	9	6	27%	6%	42	-2.3	.184/.224/.260	.076	.231	7	4	23%	4%	25	-1.0
✕Parker Meadows 2022 · A	22	37→47	41→55	44→55	41	.185/.244/.280	.095	.257	9	9	31%	7%	41	-2.3	.218/.280/.374	.156	.279	17	16	27%	7%	82	+0.5	.225/.292/.400	.175	.278	20	21	26%	8%	91	+1.1
✕Christopher Familia 2023 · A	23	40	45→55	47→45	45	.204/.281/.326	.122	.262	13	8	27%	7%	70	-0.3	.219/.278/.391	.172	.284	22	4	30%	6%	85	+0.7	.215/.266/.411	.196	.270	28	0	32%	5%	81	+0.2
✕Taylor Grzelakowski 2018 · A	24	43	40→45	50→30	42	.211/.263/.307	.096	.286	8	8	28%	6%	56	-1.3	.215/.275/.312	.097	.328	7	3	34%	7%	62	-0.9	.204/.270/.296	.092	.311	6	1	34%	8%	54	-0.8
✕Zach McKinstry 2018 · AA	23	44→50	37→55	48→55	43	.206/.268/.277	.071	.288	4	8	28%	7%	50	-1.7	.225/.290/.349	.124	.301	12	7	28%	7%	79	+0.3	.232/.305/.369	.137	.286	11	23	22%	8%	88	+0.7
✕Taylor Trammell 2021 · AA	23	41→46	40→55	51→55	45	.199/.275/.286	.087	.289	8	17	32%	9%	56	-1.3	.209/.288/.365	.156	.289	19	15	32%	9%	82	+0.5	.205/.299/.385	.179	.274	22	23	32%	11%	90	+0.6
✕Dean Anna 2010 · A	23	42→52	39→45	49→45	42	.205/.255/.286	.081	.275	6	7	27%	6%	46	-2.0	.223/.297/.337	.114	.266	10	6	19%	9%	79	+0.3	.245/.318/.360	.115	.284	9	4	16%	8%	92	+1.0
✕Anthony Seigler 2022 · A	23	41→39	41→45	44→55	45	.195/.271/.299	.104	.290	8	6	34%	9%	58	-1.2	.192/.292/.304	.112	.255	10	14	26%	12%	69	-0.4	.200/.299/.321	.122	.247	12	27	23%	12%	74	-0.1
✕Matt Mangini 2009 · AA	23	40→50	41→45	45	38	.197/.254/.290	.093	.285	10	5	33%	6%	49	-1.8	.236/.281/.353	.117	.313	12	7	27%	5%	76	+0.0	.258/.299/.378	.121	.331	12	6	25%	5%	85	+0.5
✕Dane Phillips 2014 · A	23	44→48	42→55	51→40	41	.215/.262/.324	.109	.281	9	5	26%	5%	59	-1.1	.232/.278/.376	.144	.297	14	6	26%	5%	80	+0.4	.242/.286/.410	.168	.303	16	4	25%	5%	89	+0.7
✕Matthew Sweeney 2011 · AA	23	42→41	44→50	49→45	41	.207/.267/.325	.119	.293	11	4	32%	7%	63	-0.9	.184/.247/.296	.112	.270	10	4	34%	7%	47	-1.9	.152/.219/.263	.111	.216	11	1	34%	7%	24	-1.3
✕Skye Bolt 2017 · A	23	41→39	40→50	47→50	42	.198/.260/.294	.095	.271	7	9	28%	6%	52	-1.6	.200/.260/.327	.127	.289	12	10	33%	7%	60	-1.0	.234/.302/.369	.135	.310	15	12	28%	8%	86	+0.3
✕Brian O'Grady 2015 · A	23	40→39	43→60	53→50	47	.198/.263/.312	.114	.259	9	8	26%	8%	57	-1.2	.192/.274/.305	.113	.267	10	14	30%	10%	61	-1.0	.210/.274/.401	.191	.276	23	15	32%	7%	84	+0.5
✕Caleb Roberts 2023 · AA	23	40→43	42→50	50	42	.194/.271/.297	.103	.298	9	12	36%	8%	58	-1.2	.202/.279/.332	.130	.296	12	11	33%	8%	70	-0.3	.195/.272/.328	.134	.276	13	10	32%	8%	64	-0.6

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)