John Bay — OGILVIE

John BayOF Brooklyn Cyclones

Age 25 R/R 6'1" / 217 lbs A+ H +5%HR +3% Svc 0.0 · Ctrl thru 2035 peak 0.3 · 2028

wRC+†83

AVG/OBP/SLG.210 / .282 / .328

PA100

HR2

SB5

K%30

BB%8

MLB%0%

trajectory · 10 yrs

0.4peak

2029

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	+0.3	$1M	+$0.5M
2031	Arb-3	$0.9M	+0.1	$0.5M	+$0.0M (cut)
2032	Ext / FA-deal	$0.9M	—	—	—
2033	Ext / FA-deal	$0.2M	—	—	—
2034	Ext / FA-deal	$0.4M	—	—	—
2035	Ext / FA-deal	$0.6M	—	—	—
Totals		$4M		$-7M	-$11M

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	24	A	2 teams	108	88	19	3	1	4	11	43	8	6	2	.216	.355	.409	.764	.193	.357	40	10	.321	104	+0	+0	+0	-1	+3	0.3
▸ 2026 Season (actual · ROS · total)
2026	25	A+	Brooklyn Cyclones	64	52	10	2	1	2	5	24	7	4	0	.192	.344	.385	.728	.192	.308	38	8	.299	87	-1	+1	+0	-0	+2	0.1
ROS	25	MLB	NYM	36	32	6	1	0	1	3	11	1	1	0	.188	.278	.312	.590	.125	.292	31	8	.285	77	-1	+0	+0	-0	+1	0.0
TOT	25	MLB	NYM	100	84	16	3	1	3	8	35	8	5	0	.190	.320	.357	.677	.167	.283	35	8	.294	83	-2	+1	+0	-1	+3	0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	26	MLB 10%	NYM	170	149	32	6	1	4	14	44	5	4	1	.215	.304	.349	.653	.134	.279	26	8	.300	88	-2	+0	+0	-1	+5	0.2
2028	27	MLB 25%	NYM	248	219	49	9	2	6	21	63	6	6	1	.224	.309	.365	.674	.142	.280	25	8	.302	89	-3	+1	+0	-1	+7	0.3
2029	28	MLB 37%	NYM	303	267	59	11	2	7	26	78	7	7	1	.221	.307	.356	.662	.135	.280	26	9	.302	89	-4	+1	-1	-2	+9	0.3
2030	29	MLB 47%	NYM	331	292	64	12	2	8	28	85	8	7	1	.219	.305	.356	.661	.137	.280	26	8	.301	88	-4	+1	-1	-2	+9	0.3
2031	30	MLB 55%	NYM	350	309	67	13	2	8	30	91	8	6	1	.217	.303	.350	.652	.133	.278	26	9	.297	86	-6	+1	-2	-2	+10	0.1
2032	31	MLB 66%	NYM	348	307	65	12	2	8	30	92	8	5	0	.212	.299	.342	.641	.130	.277	26	9	.294	83	-7	+1	-3	-2	+10	-0.1
2033	32	MLB 83%	NYM	337	297	63	12	2	7	29	91	8	3	0	.212	.299	.337	.636	.125	.275	27	9	.289	79	-8	+1	-4	-2	+10	-0.3
2034	33	MLB	NYM	312	275	57	11	2	6	27	87	7	2	0	.207	.294	.327	.622	.120	.273	28	9	.284	75	-9	+0	-4	-2	+9	-0.6
2035	34	MLB	NYM	272	241	49	9	2	5	23	78	6	1	0	.203	.289	.320	.608	.116	.271	29	8	.277	70	-9	+0	-5	-2	+8	-0.8
▸ Career Totals (MLE all levels + projections)
Career	—			2815	2476	530	99	18	64	242	763	72	48	7	.214	.303	.346	.649	.132	.280	27	9	.295	84	-52	+7	-20	-17	+80	-0.2
/ 162G	—			650	572	123	23	4	15	56	176	17	11	2	.215	.304	.348	.652	.133	.281	27	9	.295	84	-12	+1	-5	-4	+18	-0.1

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
2025	24	A+	Brooklyn Cyclones	39	29	3	0	0	1	7	12	3	2	1	.103	.333	.207	.540	.103	.125	31	18	.282	74	-1	+0	—	—	+1	-0.0
2025	24	A	St. Lucie Mets	69	54	18	3	1	3	9	21	5	4	1	.333	.471	.593	1.063	.259	.484	30	13	.458	209	+8	+0	—	—	+2	1.1

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
John Bay (OGILVIE)	25	—	—	—	—	.210/.282/.328	.118	.291	2	2	30%	8%	71	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Stuart Fairchild 2021 · AA	25	44→43	44→50	47→55	42	.213/.278/.333	.119	.289	10	10	29%	7%	69	-0.4	.224/.300/.381	.157	.295	17	13	29%	7%	92	+1.2	.220/.305/.384	.164	.292	18	16	29%	8%	91	+0.6
●Jonathan Rodríguez 2015 · AA	25	45→51	46→50	49→50	44	.223/.288/.352	.129	.302	13	10	30%	8%	79	+0.3	.229/.292/.354	.125	.310	14	7	29%	8%	81	+0.4	.225/.301/.376	.151	.309	19	3	32%	9%	88	+0.7
✕Nick Podkul 2022 · AA	25	40	43→50	51→50	47	.197/.273/.309	.112	.261	11	12	28%	8%	62	-0.9	.211/.298/.361	.150	.289	18	7	32%	9%	86	+0.8	.205/.302/.363	.158	.282	20	3	32%	10%	84	+0.3
●Sean Bouchard 2021 · A	25	39→44	44→55	47→50	38	.197/.250/.316	.119	.289	12	11	35%	6%	53	-1.5	.221/.294/.396	.175	.305	19	12	32%	9%	93	+1.3	.223/.323/.415	.191	.292	21	16	29%	11%	106	+1.0
✕Kyle Datres 2021 · A	25	41→43	48→50	51→55	42	.208/.274/.354	.146	.273	15	15	29%	6%	74	-0.1	.211/.290/.356	.145	.288	17	21	31%	8%	82	+0.5	.206/.292/.349	.143	.282	18	27	32%	9%	79	+0.1
✕Corey Julks 2021 · AA	25	44→51	41→55	49→55	44	.211/.276/.309	.099	.292	7	13	29%	7%	63	-0.9	.224/.281/.371	.147	.294	17	17	29%	7%	81	+0.4	.226/.287/.383	.158	.285	19	21	27%	7%	83	+0.4
✕Brett Harris 2022 · A	24	45→50	45	49→50	43	.220/.290/.339	.119	.296	12	11	29%	7%	76	+0.1	.239/.311/.381	.142	.289	16	10	22%	8%	96	+1.5	.236/.316/.369	.133	.284	15	9	22%	8%	91	+0.9
✕Jerad Head 2008 · A	25	41→45	45→55	50	41	.206/.271/.331	.125	.260	12	9	25%	5%	67	-0.5	.221/.279/.362	.141	.277	14	10	25%	5%	78	+0.2	.229/.280/.395	.166	.277	20	7	25%	4%	85	+0.4
✕Stefan Gartrell 2009 · AA	25	47→50	47→55	51→45	43	.233/.291/.367	.134	.308	14	8	28%	7%	84	+0.6	.231/.284/.396	.165	.303	20	6	30%	6%	89	+0.9	.226/.281/.400	.174	.289	22	4	29%	6%	84	+0.6
✕Brian Van Kirk 2011 · AA	25	42→52	44→45	50→45	45	.210/.281/.321	.111	.289	12	4	30%	8%	68	-0.5	.231/.299/.352	.121	.303	12	6	26%	8%	83	+0.6	.243/.317/.360	.117	.307	12	6	23%	9%	89	+0.6
✕Eli White 2019 · AA	25	48→50	41→50	49→60	42	.228/.287/.330	.102	.318	7	12	29%	7%	72	-0.2	.212/.279/.325	.113	.303	11	13	32%	7%	68	-0.5	.234/.299/.378	.144	.310	18	31	29%	7%	87	+0.4
✕Kyle Petty 2016 · A	25	46→50	42→50	54→50	38	.222/.266/.327	.105	.309	9	12	30%	5%	62	-0.9	.232/.290/.346	.114	.331	11	9	31%	6%	78	+0.2	.235/.299/.349	.114	.340	11	8	32%	7%	79	+0.2
✕Steve Selsky 2014 · AA	25	48→53	46→50	50→45	41	.236/.294/.370	.134	.304	14	9	27%	6%	86	+0.8	.241/.306/.348	.107	.336	9	7	29%	7%	85	+0.7	.250/.318/.355	.104	.355	9	4	30%	7%	90	+0.5
✕Jeremy Rathjen 2015 · A	25	43→41	47→45	51→50	46	.218/.288/.352	.134	.277	14	14	26%	8%	79	+0.3	.203/.259/.334	.131	.274	15	9	30%	6%	62	-0.9	.157/.206/.270	.114	.211	13	5	32%	5%	20	-1.6
✕Vinny Capra 2022 · AA	26	46→48	45	51→50	41	.227/.282/.352	.125	.308	12	11	29%	6%	76	+0.0	.245/.309/.362	.117	.309	11	10	23%	8%	90	+1.0	.239/.308/.330	.092	.293	8	11	20%	8%	77	+0.1
✕Scott Heineman 2018 · AA	25	48→55	43→45	49→50	41	.227/.288/.345	.118	.318	10	14	30%	6%	76	+0.1	.243/.301/.367	.124	.322	12	14	27%	6%	88	+0.9	.251/.312/.380	.129	.324	15	16	26%	6%	93	+0.6
✕Tristin English 2022 · A	25	38→48	44→50	45→40	38	.193/.258/.304	.111	.279	13	9	34%	6%	54	-1.4	.213/.276/.337	.124	.283	15	5	29%	6%	70	-0.3	.227/.282/.364	.137	.284	16	2	26%	5%	76	+0.0
✕Skye Bolt 2019 · AA	25	40→39	46→50	50	41	.201/.262/.333	.132	.280	13	11	32%	7%	63	-0.9	.212/.276/.351	.139	.302	14	12	33%	8%	73	-0.1	.234/.302/.369	.135	.310	15	12	28%	8%	86	+0.3
✕Jose Pineda 2007 · A	25	43→41	44→45	49→45	45	.213/.284/.325	.113	.293	11	10	30%	8%	70	-0.3	.219/.276/.365	.146	.301	17	7	32%	6%	77	+0.1	.215/.264/.384	.170	.287	22	3	33%	5%	74	-0.0
✕Mike Ahmed 2017 · A	25	44→46	44→50	47→50	45	.217/.285/.334	.117	.296	11	11	30%	8%	72	-0.2	.209/.271/.328	.119	.315	13	9	35%	7%	66	-0.6	.192/.250/.296	.105	.307	11	7	39%	6%	46	-0.7

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)