Donovan Antonia — OGILVIE

Donovan AntoniaC FCL Mets

Age 22 R/R 5'10" / 182 lbs ROK H +5%HR +3% Svc 0.0 · Ctrl thru 2037 peak 1.4 · 2031

wRC+†59

AVG/OBP/SLG.201 / .268 / .305

PA109

HR2

K%32

BB%7

MLB%0%

trajectory · 10 yrs

1.4peak

2031

Contract

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2032
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Ext / FA-deal	$0.9M	+1.4	$13M	+$12M
2033	Ext / FA-deal	$1.0M	+1.2	$12M	+$11M
2034	Ext / FA-deal	$1.0M	+1.0	$10M	+$9M
2035	Ext / FA-deal	$1M	+0.7	$4M	+$2M
2036	Ext / FA-deal	$1M	+0.4	$2M	+$1M
2037	Ext / FA-deal	$7M	+0.1	$0.6M	-$7M
Totals		$13M		$42M	+$29M

Why some years run red
On long-term deals the salary is locked in regardless of how the player ages. Late years are red whenever projected production drops below the AAV — that's expected, not a sign the deal is bad. The honest scorecard is the Net Surplus over the whole contract, not any single year.

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
2021	17	ROK	ACL Reds	127	115	9	2	1	0	9	78	3	4	1	.078	.165	.113	.278	.035	.243	61	7	.136	-38	-20	+0	+0	+2	+4	-1.4
2022	18	ROK	ACL Reds	106	93	16	5	0	3	9	29	3	3	2	.172	.267	.323	.589	.151	.210	27	8	.261	58	-5	-0	+0	+2	+3	-0.0
2023	19	A	2 teams	88	77	16	3	0	2	8	25	3	2	0	.208	.307	.325	.631	.117	.280	28	9	.291	81	-2	+0	+0	+2	+2	0.3
2024	20	ROK	3 teams	178	166	19	3	0	1	11	79	1	6	6	.114	.174	.151	.325	.036	.209	44	6	.153	-24	-25	-1	+0	+3	+5	-1.8
▸ 2026 Season
2026	22	MLB	NYM	109	99	21	4	1	2	8	35	1	2	1	.212	.278	.333	.611	.121	.287	32	7	.262	59	-5	+0	+0	+2	+3	-0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	23	MLB 11%	NYM	156	141	29	5	1	3	12	47	2	3	1	.206	.277	.319	.597	.113	.289	30	8	.278	71	-5	+0	+0	+3	+4	0.2
2028	24	MLB 26%	NYM	275	248	55	10	2	7	22	81	3	5	1	.222	.293	.363	.656	.141	.291	29	8	.288	79	-7	+1	+0	+5	+8	0.7
2029	25	MLB 43%	NYM	352	316	70	13	2	9	29	102	4	6	2	.222	.295	.361	.656	.139	.292	29	8	.295	84	-6	+0	+0	+6	+10	1.0
2030	26	MLB 58%	NYM	402	361	80	14	2	11	34	115	4	7	2	.222	.296	.363	.659	.141	.293	29	8	.298	87	-6	+1	+0	+7	+11	1.3
2031	27	MLB 76%	NYM	427	382	85	15	2	12	37	123	5	7	2	.223	.300	.366	.666	.144	.293	29	9	.299	87	-6	+1	+0	+8	+12	1.4
2032	28	MLB 84%	NYM	439	393	87	16	2	12	38	127	5	7	1	.221	.298	.364	.662	.142	.292	29	9	.297	86	-7	+1	-1	+8	+12	1.4
2033	29	MLB 90%	NYM	439	392	86	15	2	12	39	129	5	6	1	.219	.298	.360	.658	.140	.292	29	9	.295	84	-8	+1	-1	+8	+12	1.2
2034	30	MLB	NYM	435	390	84	15	2	11	38	129	4	5	1	.215	.292	.349	.640	.133	.290	30	9	.292	82	-9	+1	-2	+8	+12	1.0
2035	31	MLB	NYM	412	369	79	14	2	10	36	124	4	3	0	.214	.291	.344	.635	.130	.289	30	9	.288	79	-10	+1	-3	+7	+12	0.7
2036	32	MLB	NYM	385	344	73	13	2	9	34	118	4	1	0	.212	.291	.340	.631	.128	.287	31	9	.284	75	-11	+0	-4	+7	+11	0.4
2037	33	MLB	NYM	348	312	65	11	2	8	30	109	3	0	0	.208	.284	.333	.617	.125	.285	31	9	.278	71	-11	+0	-4	+6	+10	0.1
2038	34	MLB	NYM	297	266	54	9	1	7	26	95	3	0	0	.203	.281	.323	.605	.120	.284	32	9	.272	66	-11	+0	-5	+5	+8	-0.3
2039	35	MLB	NYM	243	218	42	7	1	5	21	80	2	0	0	.193	.270	.303	.572	.110	.281	33	9	.264	60	-11	+0	-6	+4	+7	-0.5
▸ Career Totals (MLE all levels + projections)
Career	—			5218	4682	970	174	25	124	441	1625	59	67	21	.207	.284	.334	.618	.127	.286	31	8	.279	72	-165	+5	-25	+93	+148	5.7
/ 162G	—			650	583	121	22	3	15	55	202	7	8	3	.208	.283	.333	.616	.125	.287	31	8	.279	72	-21	+0	-3	+12	+18	0.7

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
2021	17	ROK	ACL Reds	127	110	17	4	2	1	14	52	3	4	1	.155	.268	.255	.522	.100	.281	41	11	.248	48	-7	+0	—	—	+4	-0.4
2022	18	ROK	ACL Reds	106	88	23	8	0	4	14	20	3	3	2	.261	.381	.489	.870	.227	.292	19	13	.382	151	+6	-0	—	—	+3	0.9
2023	19	A	Daytona Tortugas	56	47	10	2	0	1	7	14	2	1	0	.213	.339	.319	.658	.106	.281	25	12	.310	95	-0	+0	—	—	+2	0.2
2023	19	ROK	ACL Reds	32	26	11	2	0	2	5	4	1	1	0	.423	.531	.731	1.262	.308	.450	12	16	.540	272	+6	+0	—	—	+1	0.7
2024	20	A+	Brooklyn Cyclones	35	33	7	0	0	0	2	11	0	1	1	.212	.257	.212	.469	.000	.318	31	6	.221	27	-3	-0	—	—	+1	-0.2
2024	20	A	St. Lucie Mets	66	56	8	1	0	0	9	23	1	2	1	.143	.273	.161	.433	.018	.242	35	14	.222	28	-5	+0	—	—	+2	-0.4
2024	20	ROK	FCL Mets	77	71	12	4	0	1	6	21	0	3	4	.169	.234	.268	.501	.099	.224	27	8	.230	35	-6	-1	—	—	+2	-0.5

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
Donovan Antonia (OGILVIE)	22	—	—	—	—	.201/.268/.305	.104	.287	2	2	32%	7%	59	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●James McCann 2012 · A	22	41→51	42→50	49→45	39	.203/.260/.306	.103	.288	9	7	32%	6%	55	-1.4	.223/.261/.310	.087	.291	6	6	24%	4%	55	-1.4	.254/.315/.415	.161	.331	20	4	28%	7%	104	+1.1
✕Tucker Mitchell 2023 · A	22	38	43→50	51→45	35	.183/.259/.287	.104	.311	11	11	42%	6%	51	-1.7	.198/.263/.310	.112	.287	13	7	34%	6%	58	-1.2	.185/.242/.280	.095	.261	13	5	33%	5%	38	-1.0
✕Blaze Alexander 2021 · A	22	45→48	42→50	51→50	43	.218/.284/.328	.110	.300	9	11	29%	7%	71	-0.3	.204/.275/.332	.128	.317	14	12	38%	7%	69	-0.4	.220/.308/.345	.126	.328	13	10	34%	8%	84	+0.4
✕Corey Joyce 2021 · A	22	44	40→45	50	40	.212/.268/.307	.095	.307	8	8	32%	6%	58	-1.2	.203/.290/.313	.110	.295	11	12	32%	9%	70	-0.3	.212/.315/.318	.105	.301	9	14	29%	10%	80	+0.2
✕Jake Rogers 2018 · A	23	41→40	44→55	47→45	42	.205/.269/.327	.122	.280	11	10	30%	7%	65	-0.7	.196/.267/.342	.146	.271	17	7	33%	8%	69	-0.4	.206/.283/.412	.206	.265	29	1	33%	8%	91	+0.6
✕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
✕Agustín Ramírez 2023 · A	21	43→45	45→55	50	43	.213/.273/.339	.126	.289	12	10	30%	7%	69	-0.4	.229/.292/.389	.160	.276	19	13	24%	8%	90	+1.0	.230/.293/.405	.176	.264	22	16	22%	7%	92	+1.1
✕Alexander Campos 2022 · A	22	43	42→40	46→45	48	.209/.289/.317	.108	.281	9	6	28%	9%	70	-0.3	.221/.304/.311	.090	.312	8	6	29%	9%	75	-0.0	.236/.329/.308	.072	.330	7	6	28%	11%	83	+0.2
✕Yu Chang 2017 · A	21	41→44	45→50	49→45	39	.206/.256/.333	.127	.283	12	8	31%	6%	60	-1.0	.202/.261/.347	.145	.281	16	8	33%	6%	66	-0.6	.213/.268/.374	.161	.271	20	6	29%	6%	75	-0.0
✕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
✕Jack Brannigan 2023 · A	22	43	43→50	48→50	43	.207/.283/.317	.110	.309	11	13	34%	8%	68	-0.5	.202/.282/.359	.157	.299	19	17	37%	8%	79	+0.3	.185/.268/.344	.160	.263	20	18	36%	8%	67	-0.3
✕Luis Santana 2022 · AA	23	40	42→45	47→50	40	.200/.259/.300	.100	.270	10	10	29%	6%	53	-1.5	.216/.274/.342	.126	.277	14	9	26%	6%	70	-0.3	.207/.266/.330	.122	.258	15	7	25%	5%	61	-0.6
✕Ezequiel Duran 2021 · A	22	38→48	39→55	52→50	33	.186/.233/.270	.084	.294	7	8	38%	4%	33	-2.9	.226/.276/.390	.164	.313	19	14	33%	6%	84	+0.6	.235/.283/.404	.168	.313	19	14	30%	5%	88	+0.7
✕John Hester 2007 · A	23	42	43→55	50	41	.206/.271/.327	.122	.299	10	7	33%	7%	65	-0.7	.224/.267/.365	.141	.298	14	7	29%	5%	72	-0.2	.249/.292/.416	.167	.322	15	10	27%	5%	94	+0.7
✕Aaron McKeithan 2022 · A	22	41	39→40	49→40	40	.198/.263/.282	.084	.277	6	7	29%	6%	50	-1.7	.218/.296/.304	.086	.283	8	4	24%	7%	70	-0.3	.219/.302/.289	.070	.280	7	1	22%	7%	69	-0.2
✕Kevin Smith 2018 · A	22	39→45	44→55	53→50	35	.198/.236/.315	.117	.289	11	8	35%	4%	46	-2.0	.207/.251/.356	.149	.290	17	13	34%	5%	64	-0.8	.202/.254/.373	.170	.272	21	17	33%	5%	68	-0.4
✕Jonathan Ornelas 2022 · A	22	41→51	41→45	48→50	38	.204/.251/.304	.100	.277	9	9	29%	5%	50	-1.7	.233/.286/.332	.099	.320	10	11	29%	6%	72	-0.2	.231/.292/.316	.084	.322	9	12	29%	7%	67	-0.4
●Alonzo Harris 2011 · A	22	39→49	42→55	51→60	36	.196/.232/.300	.103	.263	10	13	30%	4%	40	-2.4	.219/.261/.311	.092	.282	7	18	24%	5%	56	-1.3	.240/.296/.401	.161	.286	19	35	22%	7%	92	+0.9
✕Eric Fryer 2008 · A	22	39→49	40→45	45→50	42	.195/.249/.284	.089	.258	7	7	27%	6%	44	-2.1	.241/.298/.354	.113	.308	9	10	24%	6%	82	+0.5	.247/.311/.365	.118	.317	10	11	23%	7%	87	+0.6
✕Glenn Santiago 2023 · A	22	41	41→40	46→45	40	.203/.258/.301	.098	.286	8	8	31%	6%	52	-1.6	.200/.266/.289	.089	.294	8	9	32%	7%	53	-1.5	.183/.256/.260	.077	.269	7	8	32%	8%	40	-1.1

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)